计及灵活资源调节潜力的高压配电网新能源接纳能力评估  

Evaluation of Renewable Energy Accommodation Capacity of High Voltage Distribution Networks Considering Regulation Potential of Flexible Resources

作　　者：王利利 王皓 任洲洋[2] 孙义豪 WANG Lili;WANG Hao;REN Zhouyang;SUN Yihao(State Grid Henan Electric Power Company Economic Research Institute,Zhengzhou 450007,China;State Key Laboratory of Power Transmission Equipment&System Security and New Technology(Chongqing University),Chongqing 400044,China)

机构地区：[1]国网河南省电力公司经济技术研究院,河南郑州450007 [2]输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆400044

出　　处：《中国电力》2022年第10期124-131,共8页Electric Power

基　　金：重庆市自然科学基金资助项目(cstc2019jcyjmsxmX0092);国家自然科学基金资助项目(51677012);国网河南省电力公司经济技术研究院科技项目(SGHAYJ00GHJS2000040)。

摘　　要：风电、光伏并网装机容量的快速增长给电网的安全运行带来了巨大挑战,挖掘电网灵活性资源是保证新能源健康发展的有效途径。为此,提出了一种计及灵活资源调节潜力的高压配电网新能源接纳能力评估方法。首先,基于模糊C均值聚类算法生成风电、光伏和负荷典型场景集;然后,计及配电网水电和网架的灵活性,综合考虑系统的正常运行状态和N–1预想故障状态,以配电网新能源接纳能力最大为目标函数建立新能源规划模型;最后,选取某地区110kV高压配电网进行算例分析,验证了所提模型及方法的有效性。The rapid growth of grid-connected installed capacity of wind power and photovoltaic power has brought great challenges to the safe operation of the power system. Exploiting the flexible resources of the power grid is an effective way to ensure the healthy development of renewable energy. Therefore, this paper proposes an evaluation method for accommodation capacity of high voltage distribution networks considering the regulation potential of flexible resources. Firstly, a set of typical scenarios of wind power,photovoltaic and load are produced based on the fuzzy C-means clustering algorithm. Then, taking into account the flexibility of hydropower and power grid, a renewable energy planning model is established with the maximum renewable energy accommodation capacity of distribution networks as objective and with a comprehensive consideration of the normal operation states and the N–1contingency states of distribution networks. Finally, the effectiveness of the proposed model and method are verified through case study of an 110 kV high voltage distribution network.

关 键 词：电源灵活性 网架灵活性 新能源规划 典型场景 N–1预想故障状态 

分 类 号：TM73[电气工程—电力系统及自动化]