Two-level Optimal Dispatching Strategy of Distribution Network Considering Demand Side Load

HUANG Daixiong; WANG Zhijun; ZHOU Wei; XU Guang; LIU Kaiwen

doi:10.13296/j.1001-1609.hva.2026.05.023

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Two-level Optimal Dispatching Strategy of Distribution Network Considering Demand Side Load

Research & Analysis | 更新时间：2026-05-13

- Two-level Optimal Dispatching Strategy of Distribution Network Considering Demand Side Load
- High Voltage Apparatus Vol. 62, Issue 5, Pages: 195-201(2026)
- 作者机构：
  
  国网湖北送变电工程有限公司，武汉 430063
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.05.023
  CLC：
- Received：21 October 2025，
  
  Revised：2025-12-30，
  
  Published：16 May 2026
- 稿件说明：
移动端阅览
HUANG Daixiong, WANG Zhijun, ZHOU Wei, et al. Two-level Optimal Dispatching Strategy of Distribution Network Considering Demand Side Load[J]. High Voltage Apparatus, 2026, 62(5): 195-201.
DOI：

HUANG Daixiong, WANG Zhijun, ZHOU Wei, et al. Two-level Optimal Dispatching Strategy of Distribution Network Considering Demand Side Load[J]. High Voltage Apparatus, 2026, 62(5): 195-201. DOI： 10.13296/j.1001-1609.hva.2026.05.023.

摘要

传统的配电网优化调度往往将需求侧负荷作为刚性负荷，但随着用户用电需求不断攀升，大量分布式再生能源发电并入电网，若只对发电侧单元进行优化调度，难以保证电网安全可靠运行。文中提出了考虑需求侧负荷的配电网双层优化调度策略，上层模型选取可控负荷出力对象，以配电网的总体运行成本最低为目标，下层以配电网综合负荷波动最小为目标，体现配电网的供电可靠性。针对模型特点，采用基于遗传算法的自适应粒子群优化算法用于模型求解。以IEEE 33节点配电系统为算例进行仿真验证。结果表明，所提出的双层优化方法可以减少配电网运行成本，有效平抑负荷峰谷差，提高配电网整体稳定性。

Abstract

In traditonal optimal dispatching of distribution networks

demand-side loads are often treated as rigid loads. However

with the continuous increase in electricity demand of users and the integration of a large amount of distributed renewable energy generation into the grid

optimal dispatching of only the generation-side unit makes it difficult to ensure the safe and reliable operation of the power grid. In this paper

a two-level optimal distribution network dispatching strategy considering demand side load is proposed. The controllable load output object is selected for the upper level model

and the lowest overall operation cost of the distribution network is taken as the goal. The lowest comprehensive load fluctuation of the distribution network of the lower level is taken as the goal so to reflect the power supply reliability of the distribution network.Based on the characteristics of the model

the adaptive particle swarm optimization algorithm based on genetic algorithm is adopted to solve the model.The IEEE 33 node distribution system is taken as an example for simulation verification. The results show that the proposed twolevel optimal method can not only reduce the operating cost of distribution network

but also effectively stabilize the peak valley difference of load as well as improve the overall stability of distribution network.

关键词

Keywords

references

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