| 引用本文: | 李振坤,魏星源,朱尧靓,赵晋斌,张笠君,符杨.基于自适应动态分配的海上风电场多目标无功优化[J].电力自动化设备,2025,45(12):74-81. |
| LI Zhenkun,WEI Xingyuan,ZHU Yaoliang,ZHAO Jinbin,ZHANG Lijun,FU Yang.Multi-objective reactive power optimization of offshore wind farm based on adaptive dynamic allocation[J].Electric Power Automation Equipment,2025,45(12):74-81. |
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| 摘要: |
| 随着海上风电规模的不断扩大，传统固定功率因数的无功调度策略难以匹配大规模海上风电的快速波动，导致风电场内部电量损失和电压越限问题日益突出。为此，提出一种海上风电场多目标无功优化分配策略。为确定海上风电场的无功需求，建立电缆充电功率模型和无功电压灵敏度矩阵；构建全损耗模型以量化无功分布对系统有功损耗的耦合影响；制定动态权重多目标优化策略，自适应协调损耗、电压及无功裕度目标，优化分配各风机的无功出力。搭建总容量为400 MW的海上风电场作为仿真算例，结果表明，所提策略能根据实时工况调整3个优化目标的优先等级和权重占比，协同实现节点电压偏差最小化、有功损耗降低以及无功裕度提升。 |
| 关键词: 海上风电场 无功优化 有功损耗 节点电压偏差 无功裕度 自适应模型 |
| DOI：10.16081/j.epae.202510022 |
| 分类号:TM614 |
| 基金项目:智能电网重大专项(2030)资助(2024ZD0801300) |
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| Multi-objective reactive power optimization of offshore wind farm based on adaptive dynamic allocation |
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LI Zhenkun1, WEI Xingyuan1, ZHU Yaoliang2, ZHAO Jinbin1, ZHANG Lijun1, FU Yang1
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1.Offshore Wind Farm Technology Engineering Research Center, Ministry of Education, Shanghai University of Electric Power, Shanghai 200090, China;2.Economic and Technological Research Institute of State Grid Shanghai Electric Power Company, Shanghai 200235, China
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| Abstract: |
| With the continuous expansion of offshore wind power scale, the traditional reactive power dispatch strategies with fixed power factor are difficult to cope with rapid fluctuation of large-scale offshore wind power, which leads to increasingly prominent issues of energy loss in wind farm and voltage limit violation. Therefore, a multi-objective reactive power optimization allocation strategy for offshore wind farm is proposed. In order to determine the reactive power demand of offshore wind farm, the cable charging power model and reactive power-voltage sensitivity matrix are established. A comprehensive loss model is constructed to quantify the coupling effect of reactive power distribution on system active power loss. A dynamic weight multi-objective optimization strategy is formulated to adaptively coordinate the objectives of loss, voltage and reactive power margin, and the reactive power output of each wind turbine is optimally allocated. The offshore wind farm with 400 MW total capacity is built and taken for an simulation example, the results show that the proposed strategy can adjust the priority and weight ratio of the three optimization objectives according to real-time operating condition, and collaboratively achieve the minimization of node voltage deviation, the reduction of active power loss, and the enhancement of reactive power margin. |
| Key words: offshore wind farm reactive power optimization active power loss node voltage deviation reactive power margin adaptive model |
