| 引用本文: | 肖白,赵雪纯,高宁远,杨士伟,吕会森,董光德.挖掘多功能并网逆变器潜力的电能质量综合治理策略[J].电力自动化设备,2025,45(6):133-140. |
| XIAO Bai,ZHAO Xuechun,GAO Ningyuan,YANG Shiwei,Lü Huisen,DONG Guangde.Comprehensive governance strategy for power quality based on multi-functional grid-connected inverter[J].Electric Power Automation Equipment,2025,45(6):133-140. |
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| 摘要: |
| 针对新型电力系统中新能源发电并网带来的电能质量问题和逆变器容量利用率低的情况，提出一种挖掘多功能并网逆变器(MFGCI)潜力的电能质量综合治理策略。采用Louvain社团发现算法对目标电网进行分区，并按照无功灵敏度最大原则确定各区域主导治理节点。建立基于G1-改进拉开档次法(ISD)的电能质量综合评估模型。构建考虑MFGCI不同剩余容量的电能质量综合治理双层优化模型，上层模型以新能源并网有功功率削减量最小为目标，下层模型以治理后的电能质量最优为目标。利用遗传算法和混合整数线性规划相结合的方法对该双层优化模型进行求解。算例结果表明所提方法是正确的、有效的。 |
| 关键词: 新型电力系统 新能源发电并网 电能质量 多功能并网逆变器 综合治理 双层优化 |
| DOI：10.16081/j.epae.202504001 |
| 分类号:TM73 |
| 基金项目:国家重点研发计划项目(2017YFB0902205)；吉林省产业创新专项基金资助项目(2019C058?7) |
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| Comprehensive governance strategy for power quality based on multi-functional grid-connected inverter |
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XIAO Bai1, ZHAO Xuechun1, GAO Ningyuan1, YANG Shiwei1, Lü Huisen1, DONG Guangde2
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1.School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China;2.State Grid Chongqing Electric Power Research Institute, Chongqing 401123, China
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| Abstract: |
| Aiming at the power quality problems caused by grid-connected new energy generation and the low capacity utilization rate of inverters in new power system, a comprehensive power quality governance strategy to tap the potential of multi-functional grid-connected inverter(MFGCI) is proposed. The Louvain community discovery algorithm is used to partition the target power grid, and the dominant governance nodes of each region are determined according to the principle of maximum reactive power sensitivity. A power quality comprehensive evaluation model based on G1-improved dispersion degree(ISD) method is established. Then, a two-layer optimization model of power quality comprehensive governance considering different residual capacities of MFGCI is constructed. The upper layer model aims at the minimum reduction of active power of new energy connected to the grid, and the lower layer model aims at the optimal power quality after governance. The two-layer optimization model is solved by the combination of genetic algorithm and mixed integer linear programming. The numerical results show that the proposed method is correct and effective. |
| Key words: new power system grid-connected new energy generation power quality multi-functional grid-connected inverter comprehensive governance two-layer optimization |
