湖南电力 ›› 2024, Vol. 44 ›› Issue (3): 136-144.doi: 10.3969/j.issn.1008-0198.2024.03.019

• 经验与探讨 • 上一篇    下一篇

面向云储能差异化调控的有源配电网多区域分布式光伏高效消纳方法

周忠玉, 孔小民, 郝沛, 王晓东, 张宁, 苏川川   

  1. 山东国华昆城齐源新能源有限公司,山东 德州 253000
  • 收稿日期:2023-12-14 修回日期:2024-04-26 出版日期:2024-06-25 发布日期:2024-07-10
  • 通信作者: 孔小民(1984),男,本科,工程师,主要从事分布式光伏接入方式研究工作。
  • 作者简介:周忠玉(1976),男,本科,工程师,主要从事分布式光伏建设研究工作。
  • 基金资助:
    国华能源投资有限公司项目(GHTZ-22-13)

Efficient Consumption Methods of Multi-Area Distributed Photovoltaic Energy for Active Distribution Network with Differentiated Scheduling for Cloud Energy Storage

ZHOU Zhongyu, KONG Xiaomin, HAO Pei, WANG Xiaodong, ZHANG Ning, SU Chuanchuan   

  1. Shandong Guohua Kuncheng Qiyuan New Energy Co., Ltd., Dezhou 253000, China
  • Received:2023-12-14 Revised:2024-04-26 Online:2024-06-25 Published:2024-07-10

摘要: 为兼顾云储能运营商与区域微电网储能用户的双方利益,提出面向云储能差异化调控的有源配电网多区域分布式光伏高效消纳方法,根据聚焦的问题不同建立双层优化模型,上层模型以云储能电站的运行成本为优化目标,决策出多区域微电网的差异化储能电价,下层模型基于储能电价优化不同区域微电网的用电成本,并提高微电网分布式光伏利用率。最后,结合遗传算法和Gurobi求解器对模型进行求解。算例分析表明,面向云储能的差异化调控,有利于兼顾云储能电站与区域微电网双方利益,还可提高配电网多区域分布式光伏的消纳率。

关键词: 云储能, 储能电站, 区域微电网, 分布式光伏, 差异化调控

Abstract: :In order to take into account the interests of both cloud energy storage operators and regional microgrid energy storage users, this paper proposes a multi-area distributed photovoltaic efficient elimination method for cloud energy storage differential regulation of active distribution network, and establishes a two-layer optimization model according to the different focused problems. The upper model takes the operating cost of cloud energy storage power station as the optimization goal, and decides the differential energy storage price of multi-area microgrid. The lower model optimizes the power cost of microgrid in different regions based on energy storage price, and improves the distributed photovoltaic utilization of microgrid. Finally, the model is solved by combining genetic algorithm and Gurobi solver. The analysis of the example shows that the differential regulation for cloud energy storage is beneficial to improve distributed photovoltaic absorption rate of multi region for distribution network while taking into account the interests of both cloud energy storage power station and regional microgrid.

Key words: cloud energy storage, energy storage power station, regional microgrid, distributed photovoltaics, differentiated scheduling

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