Service Restoration Of Active Distribution Systems With Increasing Penetration Of Renewable Distributed Generation

IET GENERATION TRANSMISSION & DISTRIBUTION(2019)

引用 22|浏览4
暂无评分
摘要
The increasing penetration of renewable generation poses several challenges to the operation of distribution networks under emergency conditions. This study proposes a service restoration method that exploits active management of the distribution network. The proposed active network management (ANM) method considers the coordinated control of the available switches, distributed generation, and the operation of on-load tap changer (OLTC) to determine the optimal service restoration plan. The objectives of the proposed model are the minimisation of (i) the out of service area considering customer priorities, (ii) the number of switch operations, (iii) the number of tap changes of the OLTC, and (iv) the injected power from the substations considering the variation of load demand and renewable generation. The service restoration problem is formulated as a mixed-integer second-order cone programming problem, which is efficiently solved by commercial branch and bound solvers. Results on a 135-bus distribution system and a 540-bus distribution system highlight the importance and the benefits of incorporating ANM into the solution of the service restoration problem.
更多
查看译文
关键词
power system management, distributed power generation, distribution networks, on load tap changers, power system restoration, optimisation, integer programming, power distribution faults, power distribution planning, active distribution systems, increasing penetration, renewable distributed generation, renewable generation, distribution network, emergency conditions, service restoration method, active management, active network management method, ANM, available switches, on-load tap changer, OLTC, optimal service restoration plan, service area, switch operations, tap changes, service restoration problem, 135-bus distribution system, 540-bus distribution system highlight
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要