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

高博; 闫振华; 张沈习; 罗海荣; 李永亮

高博,闫振华,张沈习,罗海荣,李永亮.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[J].电测与仪表,2025,62(12):176-183.
Gao Bo,Yan Zhenhua,Zhang Shenxi,Luo Hairong,Li Yongliang.Calculation Method of Maximum Distributed Photovoltaic Hosting Capacity of Active Distribution Network With Intelligent Buildings[J].Electrical Measurement & Instrumentation,2025,62(12):176-183.

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

DOI：

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 incremental tight linear cut algorithm

基金项目:国家自然科学基金项目(51907123)；国网宁夏电力有限公司科技资助项目(5229DK200056)

作者中文名	作者英文名	单位
高博	Gao Bo	国网宁夏电力有限公司电力科学研究院
闫振华	Yan Zhenhua	国网宁夏电力有限公司电力科学研究院
张沈习	Zhang Shenxi	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
罗海荣	Luo Hairong	国网宁夏电力有限公司电力科学研究院
李永亮	Li Yongliang	国网宁夏电力有限公司电力科学研究院

摘要点击次数: 10

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 distributed photovoltaic large-scale access, researches on the hosting capacity limit of distributed photovoltaics 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 HVAC 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 involute wire cutting algorithm is applied to obtain the optimal solution of the original model for the gap introduced by the convex relaxation. Finally, on the improved IEEE 33-node ADN, the effectiveness of the model and algorithm is verified, and the influence of different IBs tunable characteristics on the maximum hosting capacity of ADN distributed photovoltaic is analyzed.

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