引用本文: | 彭春华,温泽之,孙惠娟,查海涛.计及风电置信风险的源网协调多目标优化调度[J].电力自动化设备,2021,41(1): |
| PENG Chunhua,WEN Zezhi,SUN Huijuan,ZHA Haitao.Source-grid coordination multi-objective optimal scheduling considering confidence risk of wind power[J].Electric Power Automation Equipment,2021,41(1): |
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摘要: |
为了更为合理灵活地评估风电高估/低估给电力系统优化调度带来的风险性以及降低调度决策的保守性,基于风电机会约束提出风电高估/低估置信风险功率偏差量化计算方法,并在决策变量中引入变压器变比调节和无功补偿容量优化,构建计及风电置信风险和源网协调运行的经济/风险多目标优化调度模型。提出一种基于可行性和非劣性综合排序回溯搜索算法,从而实现对调度模型的高效准确求解。IEEE 30节点系统算例结果验证了所提方法的有效性和优越性。 |
关键词: 风电 置信风险 源网协调 多目标优化调度 回溯搜索算法 |
DOI:10.16081/j.epae.202012010 |
分类号:TM73;TM614 |
基金项目:国家自然科学基金资助项目(51867008);江西省自然科学基金资助项目(20192ACBL20007,20202BAB204024);江西省教育厅科技项目(GJJ1903013) |
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Source-grid coordination multi-objective optimal scheduling considering confidence risk of wind power |
PENG Chunhua1, WEN Zezhi1, SUN Huijuan1, ZHA Haitao2
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1.School of Electrical & Automation Engineering, East China Jiaotong University, Nanchang 330013, China;2.Zhelin Hydropower Plant, State Grid Jiangxi Electric Power Company, Jiujiang 332000, China
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Abstract: |
In order to evaluate the risk of power system optimal scheduling brought by wind power over/under-estimation more reasonably and flexibly, and reduce the conservativeness of scheduling decision, a quantitative calculation method of wind power over/under-estimation confidence risk power derivation is proposed based on wind power chance constraints, the transformer ratio regulation and reactive power compensation capacity optimization are introduced into the decision variables, and a multi-objective optimal eco-nomy/risk scheduling model considering wind power confidence risk and source-grid coordination operation is established. A FNSBS(Feasible and Non-dominated comprehensive Sorting Backtracking Search) algorithm is proposed to achieve efficient and accurate solution of the scheduling model. Case results of IEEE 30-bus system verify the effectiveness and superiority of the proposed method. |
Key words: wind power confidence risk source-grid coordination multi-objective optimal scheduling backtracking search algorithm |