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文章摘要
含智能楼宇的主动配电网分布式光伏最大准入容量计算方法
Calculation method of maximum distributed photovoltaic hosting capacity of active distribution network with intelligent buildings
Received:March 08, 2023  Revised:April 02, 2023
DOI:10.19753/j.issn1001-1390.2025.12.021
中文关键词: 主动配电网  分布式光伏  最大准入容量  智能楼宇  暖通空调系统  渐紧线切割算法
英文关键词: active distribution network, distributed photovoltaic, maximum hosting capacity, intelligent buildings, heating-ventilation and air conditioning system, increasingly tight linear cut algorithm
基金项目:国家自然科学基金资助项目(51907123);国网宁夏电力有限公司科技项目资助(5229DK200056)
Author NameAffiliationE-mail
GAO Bo Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd. gaobo19840321@163.com 
YAN Zhenhua Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd. yanzhenhua@163.com 
ZHANG Shenxi* Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education(Department of Electrical Engineering, Shanghai Jiao Tong University) zhangshenxi@163.com 
LUO Hairong Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd. luohairong@163.com 
LIYongliang Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd. liyongliang@163.com 
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中文摘要:
      随着分布式光伏规模化接入,主动配电网(active distribution network, ADN)分布式光伏准入容量极限的研究受到了广泛关注。为最大限度利用分布式光伏资源,文章提出一种考虑智能楼宇(intelligent buildings, IBs)用电灵活性的ADN分布式光伏最大准入容量计算方法。首先,考虑建筑物蓄热特性,构建了含暖通空调系统的IBs总耗能模型及其热平衡模型。其次,在计及ADN运行安全约束的前提下,建立了含IBs的ADN分布式光伏最大准入容量优化模型。然后,基于凸松弛技术,将原模型转化为二阶锥模型,并针对凸松弛引入的间隙,应用渐紧线切割算法,以得到原模型最优解。最后,在改进的IEEE 33节点ADN上验证了模型和算法的有效性,分析了不同IBs可调特性对ADN分布式光伏最大准入容量的影响。
英文摘要:
      With the large-scale access of distributed photovoltaic, researches on the hosting capacity limit of distributed photovoltaic in active distribution network (ADN) have received extensive attention. To maximize the use of distributed photovoltaic resources, this paper proposes a calculation method for distributed photovoltaic maximum hosting capacity in ADN considering the flexibility of intelligent buildings (IBs). Firstly, considering the heat storage characteristics of the building, the IBs energy consumption model and its heat balance model with heating-ventilation and air conditioning system is constructed. Secondly, considering the safety constraints of ADN operation, the optimization model for maximum hosting capacity of distributed photovoltaic in ADN with IBs is established. Then, based on the convex relaxation technology, the original model is converted into a second-order cone model, and the increasingly tight linear cut algorithm is applied to obtain the optimal solution of the original model for the gap introduced by the convex relaxation. Finally, the effectiveness of the model and algorithm is verified on the improved IEEE 33-node ADN, and the influence of different IBs adjustable characteristics on the maximum hosting capacity of ADN distributed photovoltaic is analyzed.
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