• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2023, Vol. 44 ›› Issue (6): 101-111.doi: 10.12204/j.issn.1000-7229.2023.06.011

• 智能电网 • 上一篇    下一篇

考虑开关重构与需求响应的配电网分布鲁棒优化运行

舒俊霖, 刘俊勇, 高红均(), 何鑫, 胡人川   

  1. 四川大学电气工程学院,成都市 610065
  • 收稿日期:2022-07-21 出版日期:2023-06-01 发布日期:2023-05-25
  • 通讯作者: 高红均(1989),男,博士,副教授,主要研究方向为智能配电网规划运行、不确定性优化,E-mail:gaohongjun@scu.edu.cn。
  • 作者简介:舒俊霖(1997),男,硕士研究生,主要研究方向为配电网优化运行;
    刘俊勇(1963),男,博士,教授,主要研究方向为园区/智能楼宇能量管理、智能配电网、电力市场;
    何鑫(1998),男,硕士研究生,主要研究方向为低碳园区规划;
    胡人川(1998),女,硕士研究生,主要研究方向为梯级水电站规划。
  • 基金资助:
    国家自然科学基金项目(52077146)

Distributionally Robust Optimal Operation of Distribution Network Considering Switch Reconfiguration and Demand Response

SHU Junlin, LIU Junyong, GAO Hongjun(), HE Xin, HU Renchuan   

  1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
  • Received:2022-07-21 Online:2023-06-01 Published:2023-05-25

摘要:

在高比例分布式光伏接入的背景下,给配电网运行的经济性与安全性带来了新的挑战。建立了考虑开关重构与需求响应的配电网分布鲁棒优化运行模型。首先,以配电网每日运行成本最小为优化目标,同时考虑开关重构与价格型需求响应,得到配电网拓扑结构优化方案与运行方案。其次,利用光伏历史出力数据,通过聚类获取典型场景与其概率分布,采用1-范数与∞-范数约束不确定性概率分布置信区间,建立数据驱动的分布鲁棒两阶段优化模型。最后,通过修改的IEEE 33节点系统,基于列与约束生产算法(column-and-constraint generation, CCG)利用Cplex求解器进行求解,验证了模型的可行性。

关键词: 开关重构, 需求响应, 配电网运行, 分布鲁棒优化

Abstract:

Under the connection of high-penetration distributed photovoltaic generation, new challenges face the economic and safe operation of distribution networks. In this study, a distributionally robust optimization model considering switch reconfiguration and demand response was established to optimize the operation of a distribution network. First, considering switch reconfiguration and price-based demand response, topology optimization and operation schedules of the distribution network were obtained with the optimization objective of minimizing daily operating cost. Second, using the historical photovoltaic (PV) output data, the typical scenarios of PV output and its probability distribution are obtained through clustering, and the 1-norm and ∞-norm are used to constrain the confidence interval of the uncertainty probability distribution, and a data-driven distributionally robust two-stage optimization model is established. Finally, with the modified IEEE 33-node system, the Cplex solver was used based on the column-and-constraint generation algorithm, and the feasibility of the model was verified.

Key words: switch reconfiguration, demand response, operation of distribution network, distributionally robust optimization

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