中国电力 ›› 2019, Vol. 52 ›› Issue (11): 2-8,18.DOI: 10.11930/j.issn.1004-9649.201907049

• 分布式能源系统与综合需求响应互动机制关键技术 • 上一篇    下一篇

基于两阶段鲁棒优化的西南地区微电网经济调度

魏明奎1, 周全1, 周泓1, 蔡绍荣1, 江栗1, 路亮1, 梁文举1, 沈力1, 李奇2   

  1. 1. 国家电网有限公司西南分部, 四川 成都 610031;
    2. 西南交通大学 电气工程学院, 四川 成都 610031
  • 收稿日期:2019-07-05 修回日期:2019-09-08 出版日期:2019-11-05 发布日期:2019-11-05
  • 通讯作者: 李奇(1984-),男,通信作者,博士,教授,从事分布式发电并网技术、电力系统无功优化、智能信息处理等研究,E-mail:liqi0800@163.com
  • 作者简介:魏明奎(1970-),男,高级工程师,从事电力系统运行与控制,电力系统规划等研究,E-mail:wmk1666@163.com
  • 基金资助:
    国家自然科学基金资助项目(61473238);国家电网公司科技项目(SGSW0000GHJS1900106)

Economic Dispatch of Microgrid in Southwest China Based on Two-Stage Robust Optimization

WEI Mingkui1, ZHOU Quan1, ZHOU Hong1, CAI Shaorong1, JIANG Li1, LU Liang1, LIANG Wenju1, SHEN Li1, LI Qi2   

  1. 1. Southwest Branch of State Grid Corporation of China, Chengdu 610031, China;
    2. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2019-07-05 Revised:2019-09-08 Online:2019-11-05 Published:2019-11-05
  • Supported by:
    This work is supported by the National Natural Science Foundation of China (No.61473238) and the Science and Technology Project of SGCC (No.SGSW0000GHJS1900106).

摘要: 针对西南地区可再生能源储备丰富的特点,考虑微电网中可再生分布式能源出力和负荷的不确定性对微电网运行调度的影响,搭建了两阶段鲁棒优化经济调度模型,求解系统在极端运行场景下的经济性最优解。模型考虑系统功率平衡和输出功率约束、需求响应负荷约束以及微电网与配电网的交互约束,通过不确定性调节参数处理微电网中的不确定性,调节模型的保守度。随后通过Benders分解算法将模型分为主问题和子问题求解,并采用对偶理论对内层模型进行解耦。最终得出的结果验证了所搭建模型的有效性,为微电网接入西南电网后的调度策略提供参考。

关键词: 微电网, 鲁棒优化, 经济调度, 不确定性

Abstract: According to the characteristics of abundant renewable energy reserves in southwest China, considering the influence of the uncertainty of renewable energy output and load on the operation scheduling of micro grid, this paper establishes a two-stage robust optimization economic dispatching model to obtain the economic optimal solution of the system under extreme operating scenarios. The model considers system power balance, output power constraints, demand response load constraints, and interaction constraints between microgrid and distribution network. The uncertainty in microgrid is dealt with through uncertain adjustment parameters, and the conservatism of the model is adjusted. Then Benders decomposition algorithm is used to solve the main problem and sub-problem of the model, and duality theory is used to decouple the inner layer model. Finally, the results verify the effectiveness of the proposed model, and provide a reference for the scheduling strategy after the microgrid is connected to the southwest power grid.

Key words: microgrid, robust optimization, economic dispatch, uncertainty

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