LU Mingxuan, LIANG Yi, ZHANG Xiaotian, et al. Transient Stability Constrained Network-source Collaborative Planning Method of Power System Considering Wind Farm Access[J]. High voltage apparatus, 2025, 61(5): 237-246.
DOI:
LU Mingxuan, LIANG Yi, ZHANG Xiaotian, et al. Transient Stability Constrained Network-source Collaborative Planning Method of Power System Considering Wind Farm Access[J]. High voltage apparatus, 2025, 61(5): 237-246. DOI: 10.13296/j.1001-1609.hva.2025.05.025.
Transient Stability Constrained Network-source Collaborative Planning Method of Power System Considering Wind Farm Access
针对风电并网系统的暂态稳定性问题,文中研究了考虑风电场接入的电力系统暂态稳定约束网源协同规划方法,从规划和运行结合的视角增强电力系统暂态稳定性。论文首先以系统网架(网)优化加强、无功补偿电源(源)位置和容量优化、同步机有功功率(源)调整为手段,建立了暂态功角稳定和暂态电压稳定的能量约束条件,提出了考虑双馈风机(DFIG)、静止无功补偿器(SVC)等元件动态特性以及暂态功角和暂态电压稳定约束的网源协同规划半不定优化模型;其次通过罚函数法将所提半不定优化模型转化为无约束优化问题,基于改进粒子群算法求解了风电并网系统的网源协同规划策略;最后通过New England 10机39节点系统仿真验证了所提网源协同规划模型的有效性。
Abstract
As for the transient stability of wind farm grid- connected system
in this paper the transient stability constrained grid-source collaborative planning method considering wind farm access is studied
thus enhancing transient stability of power system from a planning and operation coordinated perspective. Firstly
with the optimization and strengthening of the system grid (network)
optimization of position and capacity of reactive power compensation sources (source) and adjustment of active power of synchronous generators (source) as a means
the energy constraint condition of transient power angle stability and transient voltage stability is set up. A semi-indefinite optimization model of network-source collaborative planning of power system considering the dynamics of doubly-fed induction generator (DFIG) and static var compensators (SVC) is proposed. Then
the proposed semi-indefinite optimization model is transformed into an unconstrained optimization problem through the penalty function method
and the network-source collaborative planning strategy of the wind power grid- connected system is solved based on the improved particle swarm algorithm. Finally
the effectiveness of the proposed network source collaborative planning model is verified through simulation of the New England 10-generator 39-bus system.