湖南电力 ›› 2025, Vol. 45 ›› Issue (4): 56-63.doi: 10.3969/j.issn.1008-0198.2025.04.009

• 源网协调与能源转换利用 • 上一篇    下一篇

考虑源荷双侧不确定边界的主动配电网优化调度方法

夏天宇, 牛欢, 文玉杰, 艾子硕, 芮树玲   

  1. 国网山东省电力公司青岛供电公司,山东 青岛 266002
  • 收稿日期:2025-06-10 修回日期:2025-07-03 出版日期:2025-08-25 发布日期:2025-09-05
  • 通信作者: 夏天宇(1987),男,硕士,高级工程师,主要研究方向为负荷预测、配网优化调度。
  • 作者简介:牛欢(1996),男,硕士,从事配网调控运行工作。文玉杰(1994),男,硕士,工程师,从事配网通信自动化工作。艾子硕(1998),男,硕士,从事配网调控运行工作。芮树玲(1990),女,硕士,高级工程师,主要研究方向为配网自动化、配网优化调度。

Optimal Scheduling Method of Active Distribution Network Considering Source-Load Bilateral Uncertain Boundary

XIA Tianyu, NIU Huan, WEN Yujie, AI Zishuo, RUI Shuling   

  1. State Grid Qingdao Power Company, Qingdao 266002, China
  • Received:2025-06-10 Revised:2025-07-03 Online:2025-08-25 Published:2025-09-05

摘要: 为实现主动配电网安全经济运行,提出一种考虑源荷双侧不确定边界的优化调度方法。首先,在电源侧建立可再生能源出力不确定性与系统备用约束边界关系,负荷侧利用消费者心理学模型和正态云概念统一描述需求侧响应及响应边界不确定性。然后,构建含风电、光伏发电、蓄电池储能及柔性负荷的主动配电网调度模型,实现源网荷储协调优化。最后,算例分析验证了所提优化方法可有效降低调度成本,提升可再生能源消纳能力,减轻上级调度压力,增强配电网运行安全性与经济性。

关键词: 可再生能源发电, 需求侧响应, 不确定边界, 优化调度, 消费者心理模型

Abstract: In order to realize the safe and economic operation of active distribution networks, an optimal scheduling method considering the uncertainty boundaries of both source and load sides is proposed. Firstly, the uncertainty of renewable energy output and the system standby constraint boundary relationship are established on the power side, while consumer psychology models and the concept of normal cloud on the load side are used to uniformly describe the demand side response and response boundary uncertainty. Then, an active distribution network scheduling model incorporating wind power, photovoltaic power generation, battery energy storage, and flexible loads is constructed to achieve coordinated optimization of source-grid-load-storage. Finally, the case analysis verifies that the proposed optimization method can effectively reduce scheduling costs, improve the capacity of renewable energy consumption, alleviate the pressure on higher level scheduling, and enhance the safety and economy of distribution network operation.

Key words: renewable energy power generation, demand-side response, uncertain boundary, optimal scheduling, consumer psychological model

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