摘要:In view of frequency control of Hydrogen energy storage system containing proton exchange membrane fuel cell (PEMFC), a kind of system frequency control strategy based on virtual parameter self-regulation is proposed in order to improve the frequency stability of Hydrogen energy storage system. The electric-Hydrogen coupling system is supported by PEMFC, assisted by photovoltaic (PV) and energy storage battery, and the power is supplied to the system integrated load through a mixture of PEMFC, PV and energy storage battery. Through mathematical model construction, the dynamic response changes of PEMFC and energy storage battery are observed after a small disturbance occurs in the system, and the virtual control parameters are changed to adjust the power distribution in the system. Due to different dynamic response times of the PEMFC and the storage battery, different control strategies are adopted for the PEMFC and the storage battery, which are specifically embodied in the sag control of the PEMFC and the inertia control of the storage battery in order to achieve the purpose of maintaining the frequency of the system in the normal range of small fluctuations and tend to be stable. Finally, the effectiveness and superiority of the proposed strategy is verified by setting up a model through MATLAB/Simulink simulation platform.
摘要:In view of the issue of low energy allocation efficiency in the Hydrogen production electrolytic array, the coupling relationship between input power and efficiency of the electrolytic array is analyzed in combination with the physical characteristics of the electrolytic cell itself and overall system requirements. An efficiency function and constraint conditions for the electrolytic array are constructed and are transformed into an unconstrained problem by using the Lagrange function so to achieve adaptive power allocation control of the electrolytic array and assure the optimal operating conditions of the system. Furthermore, an optimized control strategy for the rotation of the electrolytic array is performed and the operation life of the electrolytic cell is improved. With consideration of the fluctuation of wind power, the grid-forming direct drive wind turbine system is proposed to improve the voltage and frequency stability at the grid connection point. Finally, a wind-Hydrogen coupling model is set up through MATLAB/Simulink for validation. The method, compared to traditional energy allocation method, can enhance significantly the coordination efficiency of the electrolytic array and, at the same time, increase the operation life of the electrolytic cell, which provides an effective ways for large-scale Hydrogen production from wind power.
关键词:grid - forming wind turbine;electrolytic cell array;adaptive allocation;rotation optimization;coordinated control
摘要:In view of the issue of Intermittency and volatility in photovoltaic (PV) power generation, the control strategy of solar-Hydrogen-storage coupling system is studied and a model predictive control (MPC) method for power allocation method in the ‘solar-Hydrogen-storage’ system is proposed. First, the overall structure of the solar-Hydrogen-storage coupled system is constructed, in which the Hydrogen energy system includes PEM electrolyzers, Hydrogen fuel cells and the Hydrogen storage tank. Then, based on the power balance equation of the solar-Hydrogen-storage coupled system, a state-space model is constructed, and the PEM electrolyzer power and Hydrogen fuel cell power are taken as control variables. Various constraints within the system are identified, and the MPC optimization problem is adjusted to QP problem for solution. An MPC controller is constructed by using the s-function module and the closed-loop simulation of the system is completed. The effectiveness of the proposed MPC real-time power allocation method is verified through simulation analysis.
关键词:solar-Hydrogen-storage coupled system;MPC;real-time power allocation;closed-loop simulation of the system
摘要:Under the goal of ‘dual-Carbon’, the application of electric-thermal-Hydrogen integrated energy system will become a key strategic direction for the efficient use of energy, the development of multi-energy coupling and the transition to a cleaner and lower-Carbon environment. Combined with the current research status of electric-thermal-Hydrogen integrated energy system both at home and abroad, the system modeling part is summarized at first, the mathematical model of each equipment considering the characteristics of the system load, its own life decay characteristics is set up, which provides a certain reference for the subsequent in-depth research in the related direction. Then, the capacity planning of the electric-thermal-Hydrogen integrated energy system is developed and the system operation strategy, the objective function and solution as well as the current problems and innovations are analyzed in detail. Finally, the future innovation and development of electric-thermal-Hydrogen integrated energy system are prospected.
关键词:electric -thermal- Hydrogen integrated energy system;multi-energy coupling;system modelling;capacity planning
摘要:With the continuous development of Hydrogen energy storage technology, the rational capacity allocation problem of Hydrogen-containing micro grids containing multiple main power sources will be one of the important directions to promote the integration of electricity and Hydrogen in the future. In this paper, the rational allocation problem between wind and Hydrogen micro grid systems is studied. Firstly, a multi-subject revenue model is constructed with consideration of the individual revenue model of wind-solar Hydrogen, with the wind solar power as the premise as well as with Hydrogen storage to realize the residual power consumption of grid. Then, as for the hybrid method of proton-exchange membrane electrolyzer and alkaline electrolyzer for the Hydrogen storage side, a hybrid Hydrogen configuration model by taking the Hydrogen revenue and the rate of consumption as the target is constructed. Finally, the NSGA-Ⅱ algorithm is adopted to calculate the Nash equilibrium of each subject and solve the configuration results of each subject. The calculation is made in combination with typical monthly wind speed and light scenario data in certain region in northwest of China. The simulation results show that the revenue of the overall system is improved by 6.8% through the optimized configuration of multiple energy sources participating in the game and the energy consumption is achieved. Meanwhile, after adopting the hybrid Hydrogen equipment, the main body revenue of the Hydrogen storage is improved by 2.64%, and the load interruption rate is reduced by 14% compared with a single Hydrogen system, which improves the economic performance and reliability of the system.
关键词:wind power;photovoltaic;Hydrogen production;Hydrogen storage;fuel cells;game theory
摘要:For the optimal scheduling of Hydrogen production-storage system from wind power, an optimal day-ahead scheduling model based on the state transition of alkaline electrolyzer is proposed. The model takes the maximum daily revenue of the system as target. And in combination with TOU tariff, the cold and hot start-up cost and power fluctuation cost in the state conversion process of electrolyzer are introduced so to meet dynamic operation constraints of various equipment and power balance constraints of system and the Gurobi solver is used for optimization and solution. The actual wind power output data and Hydrogen load data are used to analyze the optimization results under three typical daily scenarios. The calculation example shows that the established optimization scheduling model can meet the demand for electricity and Hydrogen load, reasonably adjust the three states of the electrolyzer, significantly reduce the power fluctuation amplitude of electrolyzer electrolyzer and the total cost of the system as well as verify the effectiveness of the proposed method.
关键词:Hydrogen production from wind power;alkaline electrolyzer;state transition;typical daily scenarios;TOU tariff
摘要:Under the background of the ‘dual Carbon’ goal, the construction of an integrated energy system with electric-Hydrogen-thermal multi-energy flow can not only solve the difficulty of renewable energy grid connection but also promote Carbon reduction and emission in the energy field. For the energy system containing electricity, heat, and gas, the fuel cell and electrolytic cell are taken as the energy hubs to realize the mutual conversion of different kinds of energy, improve the gradient utilization efficiency of energy further, and strengthen the flexibility of grid dispatching. In this paper, an integrated energy system containing electricity, heat, and gas based on uncertainty analysis and electricity price is set up, and the influence of different energy consumption modes and electricity price fluctuation on the cost of the integrated energy system is analyzed. Then, the influence mechanism of the uncertainty of renewable energy on the decision-making process of curtailment of wind and solar energy is studied. The results show that the integrated energy system can realize peak-valley shifting and long-time energy storage by high efficiency. The phenomenon of curtailment of wind and solar energy due to the uncertainty of renewable energy uncertainty can be eliminated by reducing the cost of wind and solar power generation, thereby improving the stability of the integrated energy system.
关键词:fuel cell;electrolytic cell;energy storage system;integrated energy system
摘要:In view of the situation that the sustaining and stable operation of the micro grid only by batteries for energy leveling and adjustment can not be met due to the intermittency and instability of PV output, the optimization method of energy storage capacity allocation in photovoltaic DC micro grid considering Hydrogen energy application is proposed. Considering the application of Hydrogen energy in photovoltaic DC micro grid, the photovoltaic cell, battery, electrolyzer - Hydrogen storage tank - fuel cell are modeled and analyzed. The power leveling control strategy and hybrid energy storage charge and discharge management strategy are designed in accordance with the the modeling analysis results. The maximizing annual net profit and PV self-absorption rate are taken as the optimization objectives, an optimization model of energy storage capacity configuration is set up to obtain the optimal configuration result of energy storage capacity. The experimental results show that with application of the proposed method, the power deviation rate of photovoltaic DC micro grid is significantly reduced, the peak load balancing capacity is effectively optimized, and the self-balance rate of the micro grid is greatly improved, indicating that the method has a good capacity allocation effect.
关键词:Hydrogen energy application;photovoltaic DC micro grid;energy storage capacity configuration;charge and discharge management
摘要:In view of the energy consumption demand brought about by the large-scale grid connection of renewable energy, Hydrogen production technology provides an effective energy consumption solution due to its ability to convert electrical energy into Hydrogen energy storage in a clean and efficient manner. This paper aims to study the multi-objective energy configuration scheme for the consumption of renewable energy by electric Hydrogen production. Firstly, an energy framework including renewable energy generation, electric Hydrogen production and energy storage is proposed. Furthermore, a multi-objective scheduling model with the goals of low investment cost, small wind and light waste from renewable energy units and low Carbon emissions is constructed. Finally, the optimal solution set is searched among multiple objectives by using the niche particle swarm algorithm. The simulation results show that this method can obtain configuration schemes with low system investment cost, high renewable energy utilization rate and low Carbon emissions in order to promote the green transformation of energy structure.
摘要:At present, the replacement of pure SF6 with SF6/N2 gas mixture in power industry has been promoted, and the development of detection of discharge decomposition products of SF6/N2 gas mixture is of great significance to the assessment of the operation status of electrical equipment. For exploring the law of the discharge decomposition products of SF6/N2 gas mixture, the arcing discharge experiment is performed, and the technical problem of difficult rapid and effective detection of trace components is solved by copper tube bleed air technology in combination with gas chromatograph, and the qualitative and quantitative detection of SF6/N2 gas mixture is achieved. The reaction heat of the main decomposition path is calculated by using the density functional theory to analyze the formation reasons and volume fraction changes of the decomposition products. The results show that the decomposed components of SF6/N2 gas mixture under arcing discharge mainly include CF4, CH4, CO2, C2F6, SO2F2, SOF2, SO2, NF3 and N2O, among which, the amount of generation of SOF2, SO2 is the highest, followed by NF3 and N2O, and that of CF4 and C2F6 is the lowest. And the greater the proportion of N2 in the mixed gas, the higher the production of NF3 and N2O after arcing discharge, and the lower the production of the remaining components. The two components of NF3 and N2O are stable and non-toxic, and can be used as the characteristic components of the decomposition products of SF6/N2 mixed gas.
关键词:SF6/N2;arcing discharge;decomposition product;density functional theory;heat of chemical reaction
摘要:The making inrush current generated during the making operation of SF6 circuit breaker will cause severe erosion to the arcing contact. For studying the erosion of the arcing contact at different making speeds, a simulated SF6 circuit breaker interrupter is designed, the making erosion experiment of CuW arcing contact at different making speeds is performed, and the stress analysis of arcing contacts at different making speeds is simulated. It is found by the study that the mass erosion rate per joule does not monotonically increase with the arc energy. The arc energy of No.4 contact is minimum, but the mass loss rate is as high as 40 mg·kJ-1. With the increase of the making speed under the same current, although the arcing time and arc energy will decrease, yet the stress of the arcing contact will increase with the increase of the making speed. The friction and wear erosion will increase, the mass loss rate per joule, as a result, will also increase. The research results in this paper have certain guiding significance for the analysis of the electrical endurance of contact erosion in making operation.
关键词:arc energy;erosion in making operation;SF6 arcing contact;mass loss;making speed
摘要:SF6 gas mixture can replace SF6 gas in gas insulated electrical equipment under extremely cold conditions. In case of defect in the equipment, it will significantly reduce the breakdown voltage. It is therefore necessary to study the discharge characteristics of SF6 gas mixture in extremely uneven electric field induced by the defect. The discharge test of SF6/CF4 and SF6/N2 gas mixture under needle plate electrode is performed and, compared with SF6 gas, the variation of hump curve of breakdown voltage with the increase of gas pressure is analyzed. It is found that the hump curve of SF6 gas mixture will shift to the right compared with SF6 gas, and the right shift of SF6/N2 gas mixture is more obvious. The breakdown and partial discharge characteristics of SF6 gas mixtures at different pressures are compared and studied further. It is found that the breakdown voltage of SF6/CF4 and SF6/N2 gas mixtures has polarity reversal with the increase of gas pressure, that is, from negative polarity breakdown to positive polarity breakdown, and the gas pressure corresponding to polarity reversal is the gas pressure at the valley of hump curve. At the same time, the characteristics of partial discharge will also change with the increase of gas pressure, namely, from coexistence of both negative and positive partial discharge to only positive partial discharge. It is found through analyzing the variation trend of initial partial discharge voltage of SF6 gas mixture with gas pressure that, in case of exceeding the valley gas pressure, the difference between the initial partial discharge and the breakdown voltage is less, showing that SF6 gas mixture equipment is more prone to corona free breakdown at higher gas pressure, which is consistent with the operation and maintenance experience of SF6 gas equipment. The research results have reference significance for the operation and maintenance of SF6 gas mixture equipment.
关键词:SF6 gas mixture;gas insulation;gas discharge;corona free breakdown;hump curve
摘要:The stroke defect of the electromagnet of high voltage circuit breaker is one of the main reasons which causes the circuit breaker not open. The stroke magnitude of the electromagnet cannot be directly measured by the feeler gauge in case of ‘on’ operation of circuit breaker. For this issue, a kind of non-contact measurement method of electromagnet stroke for circuit breaker is proposed. The picture of the electromagnet is obtained by the measurement system and the pixel size of the electromagnet matching gap is calculated by the use of K-Means algorithm in combination with the CLSD linear detection algorithm. In case of ‘on’ operation of circuit breaker, the calculation of the electromagnet stroke can not be performed by the reference calibration method inside the operating mechanism box of the circuit breaker. The calibration is performed by the vernier caliper in the experimental condition in combination with accurate positioning principle of laser sensor to obtain the pixel equivalent at a fixed distance, thereby calculating actual stoke of the electromagnet. The effectiveness of the method is verified by comparing the experimental measurement result at site and that of filler gauge.
关键词:high-voltage circuit breaker;stroke of electromagnet;K-Means clustering;CLSD algorithm
摘要:The operating mechanism of high voltage circuit breaker is the key part to ensure reliable operation of circuit breaker, and accurate judgement of the operating mechanism status is of great importance. A non-intrusive multi -information detection method based on image, vibration and sound is proposed, the multiple correspondence analysis of the extracted image feature vectors (opening time, closed time, opening speed, closed speed, opening stroke, closed stroke), vibration feature vectors (feature time points, equal energy 5-subsection energy entropy), sound feature vectors (feature time points, equal energy 5-subsection energy entropy) and status of the operating mechanism (normal, pedestal looseness, shaft jam, performance degradation of the buffer and insufficient lubrication of the lever) are analyzed, and the relationship between the state of the mechanism and the corresponding eigenvectors has been found. A hierarchical diagnosis strategy based on the relationship between the status of the mechanism and the corresponding eigenvectors is proposed. Throughout fault simulation and diagnosis of the experimental laboratory, the correct rate of the joint feature diagnosis of the fault of pedestal looseness, shaft jam and buffer performance degradation, compared to single signal diagnosis, is improved to 90%, 80% and 90% respectively. The the accurate rate of the joint feature diagnosis of insufficient lubrication of lever, compared to the single signal diagnosis, is not improved obviously. The general effectiveness of the method is proved through the actual measurement at site and disassembly analysis of the equipment.
摘要:The safe operation of distribution switchgear cabinet is very important to ensure the reliability of power supply. The temperature monitoring of distribution switchgear cabinet is an important means to judge the fault in the early stage and diagnose the fault in the late stage. In this paper, a kind of passive wireless temperature measurement system for switchgear cabinet based on RF technology is developed, which is used for temperature state monitoring of distribution equipment. Such issues as power supply life of sensing equipment can be reduced through the passive wireless method. Moreover, such related technology as the sensing, communication and packaging technology of the sensor equipment in the system is studied and the working flow of the system operation is also design. The actual operating environment test and performance as well as function test of the system are carried out. The test test results show that the system is suitable for the temperature monitoring of the switchgear cabinet and has a certain promotion significance for the intelligent and wireless sensing nodes of the smart distribution network, as well as the self-generating energy and the self-organizing network.
关键词:distribution switchgear cabinet;temperature sensing;wireless transmission;radio frequency technology;passive device
摘要:Bellows is an important structure of GIS and GIL and, due to complicated service environment, requires stable microstructure performance, good formability, small temperature rise in service and meets excellent corrosion resistance of different regions. In this paper, 304 stainless steel, 304L stainless steel, 321 stainless steel, 316L stainless steel and Incoloy 825 are selected as the research objects to test their performance as candidate materials for bellows. The microstructure at specific strain levels is observed by optical microscope (OM) and X-ray diffraction (XRD). It is found that the transformation induced plasticity (TRIP) effect occurs and α′ martensite is observed in 304, 304L and 321stainless steel. No phase transformation in 316L stainless steel and 825 alloy are found. The hardness increase magnitude in 304, 304L and 321 stainless steel are bigger than that in 316L and 825 alloy during the hardness test. The magnetic variation of the material is studied by static magnetic measurement. It is found that both Br and Hc increase in varying degrees after deformation, showing that all candidate materials produce different degrees of magnetism. The corrosion resistance of different materials is studied by electrochemical test, which shows that the five test materials have good corrosion resistance in heavy polluted atmospheric environment above C4, with 316L stainless steel in particular. Therefore, 316L stainless steel is recommended in the case of large deformation and harsh corrosive environment and 304 stainless steel is recommended in the case of small deformation and slight corrosion.
摘要:The safe and stable operation of substation is very important. Whether the power equipment is at abnormal operation condition can be judged by way of analyzing the variation of the audible sound characteristics of the equipment in substation. The active location of abnormal sound source can quickly determine the fault section, and thus improve the detection efficiency of abnormal sound. In practical application, the small snapshot system with large array is often used due to the requirements of accuracy and real-time, which makes the traditional sound location methods not effectively distinguish multiple targets when the sound source angles are close. According to the random matrix theory, a sound source location method based on uniform plane matrix is proposed. The eigenvalues and eigenvectors of the sample covariance matrix are corrected by Stieltjes transform, and then the abnormal sound source is located through the spectral peak search of spatial spectrum, which can effectively improve the success rate of distinguishing adjacent sound sources. The research results show that the proposed method can use less snapshots to distinguish adjacent sound sources, and the resolution success rate is effectively improved.
摘要:Multi-step prediction of the acetylene dissolved in oil, one of the important discharge degree characterization parameters in power transformer, can provide an important basis for fault diagnosis and early warning of transformer. The existing state prediction models mainly focus on single-step prediction and are insufficient for the prediction means with long time variation trend in the future. In addition, the hyper parameter selection of multi-step predictive model based on deep learning is mostly based on experience and the naive single control variable method, and the coupling relationship between hyper-parameters has not been fully studied. In this paper, a multi-step prediction model of gated recurrent unit (GRU) neural network based on a multi-output strategy is proposed. The coupling relationship of the hyper parameters is studied by changing the structure hyper parameters and training hyper parameters of the model, and the multi-objective gray wolf optimization algorithm is used for hyper parameter optimization of GRU models with different prediction results tendency. The results show that the GRU model can accurately predict the acetylene content in transformer oil for 30 days. The influence of the hyper parameters of the GRU model on the output prediction results is not uniform and affects each other. The same set of hyper parameters cannot achieve multiple goals optimization simultaneously. The multi-objective gray wolf optimization algorithm can optimize the selection of suitable hyper parameters in accordance with the different prediction targets, which provides a reference for the selection of hyper parameters of artificial intelligence algorithms.
关键词:transformer;acetylene;gated recurrent unit;gray wolf algorithm;multi-step prediction
摘要:In view of online monitoring data quality of dissolved gas in transformer oil, the annual data of more than 200 monitoring devices in 2020 are counted and three main data error patterns are summarized. The identification strategy and characteristic parameters of data errors pattern are proposed, and a multi-classification support vector machine is constructed to identify and classify the data errors. The Kernel principal component analysis and permutation and combination traversal method are used to reduce dimension of the feature vector. The identification accuracy of the constructed multi-classification support vector machine classifier for H2 error data is 97.5%, and for other gasses is more than 90%. The constructed classifier is used to make statistics on the annual data of 2020, in which the error data of H2 and C2H2 reach 27.14% and 1.75% respectively.
关键词:error data;pattern identification;support vector machines;online monitoring;transformer;dissolved gas analysis
摘要:For studying gas-sensitive materials of gas sensor which is suitable for motoring the characteristic gas in the transformer oil, the adsorption mechanism of two-dimension material with a kind of transition metal to the gas characteristic of transformer oil is studied on the basis of density universal function. First, a Mn-doped SnS two-dimensional material model is set up, and the adsorption model of six characteristic gases (H2, CO, CH4, C2H2, C2H4, C2H6) on the modified two-dimensional material are calculated. It is found by analyzing the adsorption energy and adsorption distance that the adsorption energy of the such three gases as CO, C2H2 and C2H4 is larger and the adsorption distance is closer, showing stronger adsorption characteristics. While the adsorption energy of such three gases as H2, CH4, and C2H6 is small, and the adsorption distance is longer, showing typical physical adsorption. Furthermore, the chemical mechanism of absorption is analyzed by the both density of state and frontier orbital analysis, finding that the the adsorption of such three kinds of gases as CO, C2H2 and C2H4 significantly changed the electronic structure of the system, showing positive overlap population density of states in the occupied orbital energy levels. At the same time, orbital coupling is formed on the frontier orbital, indicating that the adsorption process of these three characteristic gases is chemical interaction. However, the H2, CH4 and C2H6 do not show significant orbital coupling and electronic structure change, and they are mainly physical adsorption dominated by Van Der Waals forces. Finally, the variation in conductivity and desorption time of the Mn-doped SnS two-dimensional material are analyzed through the energy gap and adsorption energy, finding that the material is a kind of gas-sensing material with excellent performance and the possibility of its application in detecting such characteristic gases as CO, C2H2 and C2H4 of the transformer oil.
关键词:transformer oil;gas sensor;dissolved gas analysis;density functional theory;SnS two-dimensional material
摘要:High power DC charging pile is the development direction of electric vehicle charging facilities in the future. The charging module is the most important component of DC charging pile and has the highest failure rate, among which open circuit fault of power device is more common. For assuring safe and reliable operation of the charging module, it is necessary to accurately identify and locate the open circuit fault of the power device of the charging module. Firstly, the topology and fault types of the charging module are analyzed in this paper. Then, the open circuit fault diagnosis methods of the power device based on analytical model, signal processing and knowledge is summarized respectively. The basic ideas, research progress and the pros and cons of various methods are introduced respectively. Finally, the future research and development direction of open circuit fault diagnosis methods for power device of charging module are summarized and prospected.
摘要:In view of such issues as low accuracy of fault location and and weak generalization ability of location model in the fault location method of existing high voltage DC cable, a kind of fault location method of time-frequency domain energy analysis is proposed with consideration of the characteristics of rich fault information in the transient signal generated by the fault point after the fault of the cable. The method uses the characteristics of multi-class support vector machine to construct a DC cable fault location model, uses the DC cable phase mode decoupling matrix to decouple the electrical parameters of the cable, and adopts the S-transform to perform time-frequency domain conversion. The obtained modulus is used to construct mode energy and is used as the sample to trains the SVM model. The experimental results show that the proposed method can accurately measure the distance of different types of faults under different transition resistances and different locations.
摘要:For minimizing the possibility of misjudgment and false alarm of partial discharge (PD) signal identification in the operation of PD online monitoring system of cable as much as possible, PD’s interpretation mechanism and identification accuracy of partial discharge are improved and updated. The warning record data of tens of thousands suspected PD in cables collected by the field operation system is analyzed and classified, filtering process of inter-phase signal correlation is added to the automatic logic discrimination program of PD, the existed neural network is optimized in structure and the pre-processing of the learning data of the existing neural network is improved. Three kinds of partial discharge data, including field recording, analog signal generator, and artificial partial discharge model with voltage application experiment, are used to test the improved PD discrimination program. The results show that the enhanced PD discrimination program can not only reduce the warning rate of non-PD warning data to the expected level of 5%, but also, at the same time, improve the accuracy of identifying various types of PD signals generated at artificial simulation, reducing significantly the possibility of misjudgment and false reporting in the PD online monitoring.
关键词:cable;partial discharge;online monitoring;inter-phase signal correlation;neural network;learning data;pre-processing;identification accuracy