风-光-火-抽蓄-蓄电池联合系统两阶段鲁棒规划

罗远翔; 范立东; 王宇航; 刘铖; 矫英鹤; 王云龙

罗远翔,范立东,王宇航,刘铖,矫英鹤,王云龙.风-光-火-抽蓄-蓄电池联合系统两阶段鲁棒规划[J].电测与仪表,2025,62(5):149-157.
Luo Yuanxiang,Fan Lidong,Wang Yuhang,Liu Cheng,Jiao Yinghe,Wang Yunlong.Two-stage robust planning for wind power-photovoltaic-thermal power-pumped storage-battery hybrid system[J].Electrical Measurement & Instrumentation,2025,62(5):149-157.

风-光-火-抽蓄-蓄电池联合系统两阶段鲁棒规划

Two-stage robust planning for wind power-photovoltaic-thermal power-pumped storage-battery hybrid system

DOI：10.19753/j.issn1001-1390.2025.05.018

中文关键词: 两阶段鲁棒优化不确定性调节参数风光消纳环境成本列和约束生成算法

英文关键词:two-stage robust optimization, uncertain adjustment parameters, wind and photovoltaic power consumption, environmental cost, column and constraint generation algorithm

基金项目:吉林省教育厅科学研究项目(JJKH20210092KJ)；吉林市科技创新发展计划项目(20210103093)。

作者中文名	作者英文名	单位
罗远翔	Luo Yuanxiang	东北电力大学电气工程学院
范立东	Fan Lidong	东北电力大学电气工程学院
王宇航	Wang Yuhang	东北电力大学电气工程学院
刘铖	Liu Cheng	东北电力大学电气工程学院
矫英鹤	Jiao Yinghe	东北电力大学电气工程学院
王云龙	Wang Yunlong	东北电力大学电气工程学院

摘要点击次数: 112

中文摘要:

随着风光并网渗透率的快速增长，电力系统的不确定性急剧增加。针对大规模风光并网给电网规划带来的影响，文中构建了风-光-火-抽蓄-蓄电池联合系统的两阶段鲁棒规划模型，并引入不确定性调节参数降低模型的保守性。一阶段以投资成本和运维成本之和最小为目标确定联合系统的容量配置；二阶段在给定容量配置下，通过构建风光出力不确定集合，以环境成本、弃风弃光成本之和最小为目标，确定最优调度方案。针对鲁棒规划模型的特点，采用列和约束生成算法(column-and-constraint generation,C&CG)和强对偶理论，将原问题分解为具有混合整数线性特征的主问题和子问题进行求解，采用改进的IEEE30节点系统分析不同保守程度下规划方案的经济性，并验证所提模型的有效性。

英文摘要:

With the rapid growth of wind power-photovoltaic grid-connected penetration, the uncertainty of the power system increases dramatically. Aiming at the impact of large-scale grid-connected wind power-photovoltaic on power grid planning, this paper constructs a two-stage robust planning model for the wind power-photovoltaic-thermal power-pumped storage-battery hybrid system, and introduces uncertain adjustment parameters to reduce the conservatism of the model. In the first stage, the capacity configuration of the hybrid system is aiming at minimizing the sum of investment cost and operation and maintenance cost. In the second stage, under a given capacity configuration, the optimal scheduling scheme is determined by constructing an uncertain set of wind power-photovoltaic output, aiming at minimizing the sum of environmental cost and cost of wind power-photovoltaic abandonment. According to the characteristics of the robust planning model, the column and constraint generation algorithm(C&CG) and strong pairwise theory are used to decompose the original problem into a major problem and sub-problem with mixed-integer linear characteristics to solve. The improved IEEE30-node system is followed to analyze the economics of the planning scheme under different conservative degrees, and the validity of the proposed model is verified.

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