| 引用本文: | 刘洪,滑雪娇,韩柳,周沫,梁荣.配电网网架规划与多模块智能终端配置联合优化方法[J].电力自动化设备,2023,43(1): |
| LIU Hong,HUA Xuejiao,HAN Liu,ZHOU Mo,LIANG Rong.Joint optimization method of distribution network grid planning and multi-module intelligent terminal configuration[J].Electric Power Automation Equipment,2023,43(1): |
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| 摘要: |
| 针对现有配电网网架规划方法未能与二次设备充分协调及对二次设备类型考虑不全等问题，提出了一种网架规划与多模块智能终端配置联合优化方法。介绍多模块智能终端的组成模块，并分析保护与自动化配合的故障处理策略；基于该故障处理策略，定义含多模块智能终端的配电网故障处理时间与馈线分区逻辑；提出配电网网架规划与多模块智能终端配置协同规划框架，构建交替优化数学模型，并采用粒子群优化算法进行求解；通过IEEE RBTS BUS-2配电系统和某60节点城市配电网2个实例，验证了所提方法的有效性和实用性。 |
| 关键词: 配电网 网架规划 智能终端 协同规划 可靠性 |
| DOI：10.16081/j.epae.202207022 |
| 分类号:TM715 |
| 基金项目:国家电网有限公司总部管理科技项目(5106?202056130A?0?0?00) |
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| Joint optimization method of distribution network grid planning and multi-module intelligent terminal configuration |
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LIU Hong1, HUA Xuejiao1, HAN Liu2, ZHOU Mo3, LIANG Rong4
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1.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;2.State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209, China;3.Economic and Technological Research Institute, State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110015, China;4.Economic and Technological Research Institute, State Grid Shandong Electric Power Co.,Ltd.,Jinan 250021, China
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| Abstract: |
| Aiming at the problems that the existing grid planning method of distribution network fails to fully coordinate with the secondary equipment and the incomplete consideration of the types of secondary equipment, a joint optimization method of grid planning and multi-module intelligent terminal configuration is proposed. The component module of the multi-module intelligent terminal is introduced and the fault handling strategy for protection and automation is analyzed. Based on the fault handling strategy, the fault handling time and feeder zoning logic of the distribution network with the multi-module intelligent terminal is defined. Then, the collaborative planning framework of distribution network grid planning and multi-module intelligent terminal configuration is proposed. Besides, the alternate optimization mathematical model is constructed, and the particle swarm optimization algorithm is adopted to solve the model. The effectiveness and practicability of the proposed method is verified through two examples of IEEE RBTS BUS-2 distribution system and a 60-bus urban distribution network. |
| Key words: distribution network grid planning intelligent terminal collaborative planning reliability |
