中国电力 ›› 2022, Vol. 55 ›› Issue (8): 40-50.DOI: 10.11930/j.issn.1004-9649.202109050

• 双碳目标下的新能源并网消纳关键技术 • 上一篇    下一篇

分布式光伏边界渗透率快速定位及消纳方案择优

陈璨1, 白明辉2, 张婉明2, 席海阔2, 尹兆磊2, 邵尹池1, 王枭枭1, 马原1   

  1. 1. 国网冀北电力有限公司电力科学研究院,北京 100045;
    2. 国网冀北电力有限公司承德供电公司,河北 承德 067000
  • 收稿日期:2021-09-10 修回日期:2022-03-20 发布日期:2022-08-18
  • 作者简介:陈璨(1988—),女,通信作者,博士,高级工程师,从事新能源及分布式电源仿真建模及特性分析,E-mail:wscc0621@163.com
  • 基金资助:
    国网冀北电力有限公司科技项目(高渗透率分布式电源接入农村配电网优化运行关键技术研究)

Fast Positioning of Marginal Hosting Capacity and Optimal Selection of Accommodation Scheme for Distributed PVs

CHEN Can1, BAI Minghui2, ZHANG Wanming2, XI Haikuo2, YIN Zhaolei2, SHAO Yinchi1, WANG Xiaoxiao1, MA Yuan1   

  1. 1. State Grid Jibei Electric Power Research Institute, Beijing 100045, China;
    2. State Grid Jibei Electric Power Co., Ltd.,Chengde Power Supply Company, Chengde 067000, China
  • Received:2021-09-10 Revised:2022-03-20 Published:2022-08-18
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Jibei Electric Power Company ( Research on Rural Distribution System Optimization and Operation with High Penetration of Distributed Generators)

摘要: 随着分布式光伏在中低压配电网中的快速发展,评估分布式光伏的消纳能力成为配电网规划和运行工作的基础。提出了基于分布式光伏最大渗透率快速计算及不同消纳方案综合择优的消纳能力评估方法。首先,聚焦于节点电压约束以及线路载流量约束,针对每一个分布式光伏数量、安装位置的场景,应用二分法快速计算分布式光伏在该随机场景下满足节点电压约束的最大渗透率,克服了传统随机场景模拟法中迭代容量线性增加带来的效率低、计算时间长等问题。其次,分析了分布式光伏数量和不同安装位置对边界渗透率的影响,最后通过对日均电压偏移率、日均电压上限安全裕度、日网损和分布式光伏消纳容量4个指标的综合计算,筛选出综合满意度最优的分布式光伏消纳方案。所提方法应用于承德市某实际配电系统,验证了所提方法的有效性。

关键词: 分布式光伏, 消纳, 快速计算, 电压偏差, 随机场景模拟法

Abstract: With rapid development of distributed photovoltaic(PV), it is becoming of great importance to evaluate PVs’ hosting capacity for the planning and operation of distribution power system. In this paper, a fast calculation method for marginal hosting capacity (MHC) and optimal selection of accommodation scheme for PVs considering different objective functions is proposed. Firstly, the paper mainly takes two important constraints into account, i.e., voltage profile and thermal limits of transmission lines. For each stochastic scenario, the MHC is calculated using dichotomy method, which overcomes the disadvantage of low computation efficiency caused by the linear increase of PVs’ capacity for each simulation scenario. Then, the impacts of PVs’ locations and numbers on MHC are analyzed respectively. Furthermore, in order to achieve the optimal photovoltaic accommodation scheme with comprehensive satisfaction, the daily voltage deviation rate, daily upper voltage security margin, daily power transmission loss as well as hosting capacity are calculated. Finally, the proposed method has been implemented in a real distribution network in Chengde city and its effectiveness is verified.

Key words: distributed PV, hosting capacity, fast calculation, voltage deviation, random scenario simulation