• 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 ›› 2021, Vol. 42 ›› Issue (5): 38-47.doi: 10.12204/j.issn.1000-7229.2021.05.005

• 促进清洁能源消纳的综合能源系统关键技术及应用·栏目主持 潘尔生院长、张沈习副研究员· • 上一篇    下一篇

考虑主动管理与需求侧管理的主动配电网分布式光伏最大准入容量计算方法

蔡秀雯1, 陈茂新1, 陈钢1, 方一晨2, 张沈习2, 程浩忠2   

  1. 1.国网福建省电力有限公司泉州供电公司,福建省泉州市 362000
    2.电力传输与功率变换控制教育部重点实验室(上海交通大学电气工程系),上海市 200240
  • 收稿日期:2020-10-20 出版日期:2021-05-01 发布日期:2021-05-06
  • 通讯作者: 张沈习
  • 作者简介:蔡秀雯(1983),女,硕士,高级工程师,主要研究方向为新能源消纳,配电网规划;|陈茂新(1971),男,学士,高级工程师,主要研究方向为新能源电力系统,配电网规划;|陈钢(1983),男,学士,高级工程师,主要研究方向为配电网规划;|方一晨(1995),女,硕士研究生,主要研究方向为电力系统规划;|程浩忠(1962),男,博士,教授,博士生导师,主要研究方向为电力系统规划、电压稳定、综合能源系统。
  • 基金资助:
    国网福建省电力有限公司科技项目“面向智慧城镇配电网的高比例分布式光伏消纳技术研究”(5213302000GD);国家自然科学基金青年基金(51907123)

Calculation Method for Maximum Allowable Access Capacity of Distributed PV in Active Distribution Network Considering Active Management and Demand-Side Management

CAI Xiuwen1, CHEN Maoxin1, CHEN Gang1, FANG Yichen2, ZHANG Shenxi2, CHENG Haozhong2   

  1. 1. Quanzhou Power Supply Company of State Grid Fujian Electric Power Co., Ltd., Quanzhou 362000, Fujian Province, China
    2. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Department of Electrical Engineering, Shanghai Jiao Tong University), Shanghai 200240, China
  • Received:2020-10-20 Online:2021-05-01 Published:2021-05-06
  • Contact: ZHANG Shenxi
  • Supported by:
    Science and Technology Research Foundation of State Grid Fujian Electric Power CO., LTD.(5213302000GD);National Natural Science Foundation of China(51907123)

摘要:

为了在确保配电网安全、稳定运行的同时,促进配电网分布式光伏消纳,文章提出了一种主动配电网分布式光伏最大准入容量计算方法。以最大化分布式光伏准入容量为目标,计及系统潮流方程、节点电压、支路电流等多个电气约束,采用有载调压、无功补偿、储能充放电、网络重构、负荷削减等主动管理措施和需求侧管理措施,提升了“源荷”不确定性最不利条件下分布式光伏最大准入容量,建立了二阶段鲁棒优化模型。将原模型分解为主问题与子问题后,转化为混合整数二阶锥形式,使用列与约束生成算法求解。在改进的IEEE 33节点算例上对模型与算法的有效性进行检验,得到了主动配电网分布式光伏最大准入容量,并验证了主动管理与需求侧管理对其的提升作用。

关键词: 主动管理, 需求侧管理, 分布式光伏, 最大准入容量, 鲁棒优化

Abstract:

This paper proposes a method to calculate the maximum allowable access capacity of distributed photovoltaic (PV) generation in an active distribution network (ADN), in order to facilitate the usage of the distributed PV on the premise of system security and stability. The objective is to maximize the allowable access capacity of distributed PV. Several electrical constraints, including power flow equations, bus voltage limits, branch current limits, etc., are taken into account. Furthermore, active management (AM) and demand-side management (DSM) techniques including on-load voltage regulation, reactive power compensation, control of the battery energy storage system, network reconfiguration and load curtailment are applied to increase the access capacity under the worse uncertainty condition. A two-stage robust optimization model is established. The model can be decomposed into a master problem and a subproblem in the form of mixed integer second order cones, and solved by column-and-constraint generation algorithm. A case study is implemented on the modified IEEE 33-node system to verify the validation of the proposed model and algorithm. The maximum allowable access capacity of distributed PV can be obtained. The enhancement of the result is achieved through AM and DSM techniques.

Key words: active management, demand-side management, distributed photovoltaic generation, maximum allowable access capacity, robust optimization

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