Impact study of demand response program on the resilience of dynamic clustered distribution systems
Impact study of demand response program on the resilience of dynamic clustered distribution systems
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DOI：
10.1049/iet-gtd.2020.0068
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发表时间：
2020-11-13
影响因子：
2.5
通讯作者：
Reno, Matthew J.
中科院分区：
文献类型：
--
作者：
Khalili, Tohid;Bidram, Ali;Reno, Matthew J.
自然灾害、故障或主要能源突然中断可能会造成电力系统的弹性问题。由于自动化保护和控制技术的使用以及分布式发电机 (DG) 的普及，现代配电系统可以重新配置。如果附近有多个分布式电源，紧急情况下可以将配电系统聚集成微电网。配电系统集群为实现高系统弹性提供了许多好处。此外，需求响应（DR）是提高运行质量和提高电力系统弹性的有效方法。本研究讨论了灾难恢复对动态集群分发系统弹性的影响。从弹性和电能质量的角度来看，在对配电系统进行集群时考虑灾难恢复对于配电系统客户来说是有益的。为此，使用两个不同的目标函数执行分布聚类，以提高其弹性和电压分布。 DR 被制定为应用于配电系统集群优化问题的新约束。本研究提出了一种多目标优化函数，通过使用交易市场算法、帕累托效率法和模糊满足方法来求解。仿真在 IEEE 33 总线测试系统上进行。
Natural disasters, faults, or the sudden outage of major energy resources can create resilience issues in power systems. Modern distribution systems can reconfigure due to the use of automated protection and control techniques and the proliferation of distributed generators (DGs). If there are several DGs located nearby, distribution systems can be clustered into microgrids in an emergency condition. Clustering of distribution systems offers many benefits to achieve high system resilience. Moreover, demand response (DR) is an efficient way of increasing the operation quality and improving the resilience of the power system. This study discusses the impact of DR on the resilience of dynamically-clustered distribution systems. Accounting for the DR while clustering the distribution system can be beneficial for distribution system customers from the resilience and power quality points-of-view. To this end, the distribution clustering is performed using two different objective functions to improve its resilience and voltage profile. DR is formulated as new constraints applied to the distribution system clustering optimisation problem. This study proposes a multi-objective optimisation function that is solved by using an exchange market algorithm, Pareto efficiency method, and fuzzy satisfying approach. The simulations are performed on IEEE 33-bus test system.