面向经济高效的蜂巢状配电网优化布局与调度策略OA
Economically Efficient Optimization Layout and Scheduling Strategy for Honeycomb Distribution Networks
随着国家"碳达峰·碳中和"目标的推进,分布式电源、复合储能系统的大量接入,使得配电网中包含的元素更丰富,进而让探寻配电网的新架构、新功能具有了更现实的意义.蜂巢状配电网因其高效能量调度和多微电网协同的特性,逐渐成为一种重要的新型配电网架构.文中基于智能基站(IBS)的优化布局,提出精简六边蜂巢配电网(SHHDN)架构.首先,建立基于非直角坐标系(NCCS)的SHHDN结构模型,进而确定IBS选址及其内部储能容量;其次,基于IBS优化后的系统结构,构建了含多IBS的SHHDN调度模型.最后,在一个改进的IEEE 33节点系统和一个改进的97节点系统上进行了仿真验证,结果表明所提方法能够在较少的IBS投资水平下,有效平抑负荷波动和降低网损,促进可再生能源消纳,可为新型配电网的灵活规划与低碳运行提供理论支撑和实际参考.
With the advancement of the national"carbon emission peak and carbon neutrality"goal,a significant number of distributed energy sources,hybrid energy storage systems are being integrated into the distribution network.This integration has enriched the composition of distribution network elements,thereby making the exploration of new network architectures and functionalities increasingly relevant.Among these,the honeycomb distribution network has emerged as a promising new architecture due to its efficient energy dispatch and the synergistic operation of multiple microgrids.This paper proposes a streamlined hexagonal honeycomb distribution network(SHHDN)architecture optimized through the strategic placement of intelligent base stations(IBSs).Firstly,a structural model of SHHDN based on the non-Cartesian coordinate system(NCCS)is developed to determine the optimal siting of IBSs and their internal energy storage capacities.Secondly,an SHHDN dispatch model incorporating multiple IBSs is constructed based on the optimized IBS system layout.Finally,the proposed model is validated through simulation on a modified IEEE 33-bus system and a modified 97-bus system.The results demonstrate that the proposed approach effectively smooths load fluctuations,reduces network losses,and facilitates renewable energy source(RES)integration with minimal IBS investment.This study provides both theoretical support and practical guidance for the flexible planning and low-carbon operation of next-generation distribution networks.
HAN Haiteng;XU Yiteng;ZU Guoqiang;CAO Shuyu;WU Chen;ZANG Haixiang
School of Electrical and Power Engineering,Hohai University,Nanjing 211100,ChinaSchool of Electrical and Power Engineering,Hohai University,Nanjing 211100,ChinaElectric Power Research Institute of State Grid Tianjin Electric Power Company,Tianjin 300384,ChinaSchool of Electrical and Power Engineering,Hohai University,Nanjing 211100,ChinaSchool of Electrical and Power Engineering,Hohai University,Nanjing 211100,ChinaSchool of Electrical and Power Engineering,Hohai University,Nanjing 211100,China
蜂巢状配电网储能可再生能源选址定容运行调度负荷波动
honeycomb distribution networkenergy storagerenewable energysiting and sizingoperation schedulingload fluctuation
《电力系统自动化》 2026 (1)
29-38,10
国家自然科学基金资助项目(52307090)江西省重大科技研发专项项目(20223AAE02011). This work is supported by National Natural Science Foundation of China(No.52307090)and the Major Research Special Project on Science and Technology of Jiangxi Province(No.20223AAE02011).
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