| 高占比新能源电源接入区域电网的无功优化策略研究 |
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| 引用本文： | 韩旭杉,王维洲,时帅,潘卫国,陈子文.高占比新能源电源接入区域电网的无功优化策略研究[J].上海电力学院学报,2022,38(3):251-256,263. |
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| 作者姓名： | 韩旭杉 王维洲 时帅 潘卫国 陈子文 |
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| 作者单位： | 国网甘肃省电力公司;上海电力大学 |
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| 基金项目： | 国家自然科学基金（51977128）；上海市青年科技启明星计划（21QC1400200）；上海市自然科学基金（21ZR1425400）。 |
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| 摘 要： | 从高占比风电、光伏接入电网运行的安全性和稳定性等方面综合考虑，建立了以电压偏移量和网损最小为目标的无功优化模型。利用MATLAB软件对风电、光伏电站接入IEEE-33节点系统进行无功优化仿真分析，采用多目标粒子群（MOPSO）算法进行无功优化调度方案求解。基于Pareto前沿解的MOPSO算法可为决策者根据不同需求提供方案，并且同时达到提高测试系统的电压稳定性、降低网损的目标，验证了所提优化策略的有效性。
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| 关 键 词： | 高占比新能源 多目标无功优化 粒子群算法 Pareto最优解 |
| 收稿时间： | 2021/10/25 0:00:00 |
Study on Reactive Power Optimization Strategy of High Proportion New Energy Sources Connected to Regional Power Grid |
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| HAN Xushan,WANG Weizhou,SHI Shuai,PAN Weiguo,CHEN Ziwen.Study on Reactive Power Optimization Strategy of High Proportion New Energy Sources Connected to Regional Power Grid[J].Journal of Shanghai University of Electric Power,2022,38(3):251-256,263. |
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| Authors: | HAN Xushan WANG Weizhou SHI Shuai PAN Weiguo CHEN Ziwen |
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| Affiliation: | State Grid Gansu Electric Power Company, Lanzhou, Gansu 730070, China;Shanghai University of Electric Power, Shanghai 200433, China |
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| Abstract: | Reactive power compensation strategy can achieve the effect of improving the security and stability of the power grid.Considering the safety and stability of high-proportion wind power and photovoltaic power grid operation.MATLAB software is used to simulate and analyze the reactive power optimization of wind power and photovoltaic power station connected to IEEE33-bus system,and multi-objective particle swarm optimization (MOPSO) is used to solve the reactive power optimization scheduling scheme.MOPSO algorithm based on Pareto frontier solution can provide solutions for decision makers according to different needs.Simultaneously,this scheme achieves the goals of improving the voltage stability of the test system and reducing the network loss,which verifies the effectiveness of the optimization strategy proposed in this paper. |
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| Keywords: | high proportion of renewable energy multi-objective reactive power optimization PSO Pareto optimal |
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