Integrated network partitioning and DERs allocation for planning of Virtual Microgrids

Wu, Qigang, Xue, Fei, Lu, Shaofeng, Jiang, Lin ORCID: 0000-0001-6531-2791, Huang, Tao, Wang, Xiaoliang and Sang, Yiyan (2023) Integrated network partitioning and DERs allocation for planning of Virtual Microgrids. Electric Power Systems Research, 216. p. 109024.

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Official URL: http://dx.doi.org/10.1016/j.epsr.2022.109024

Abstract

The Virtual Microgrid (VM) method is a solution for addressing challenges in Conventional Distribution Network (CDN), such as power fluctuations or load mismatches, by actively partitioning the CDN into interconnected Microgrid-style VMs. Previous studies have fewer discussions about the mutual interaction between the grid's partition performance and Distributed Energy Resources (DERs) allocation. This paper proposes a new approach for dividing a large power grid into clusters by using the complex network theorem. The approach integrates power flow dynamic, line impedance, generator-load relations and power generator cost-efficiency into a single static weighted adjacency matrix. Meanwhile, a multi-objective Genetic Algorithm (GA) planning structure is also denoted for transforming a CDN to VMs with mutual interaction between partition and DER allocation. The proposed metric is tested in both transmission and distribution networks. The IEEE 118-bus system test shows that even with a higher value of the proposed indicator, there are fewer power exchanges between sub-networks. Meanwhile, in the 69-bus radial system tests, the GA-based co-planning method outperforms previous methods in forming more self-sufficient and more efficient interconnected VMs. An intermediate solution is suggested by implementing a trade-off between inter-VM power exchange and the operation cost.

Item Type:	Article
Uncontrolled Keywords:	Power system modeling, Power system planning, Complex networks, Microgrids, Renewable energy sources
Depositing User:	Symplectic Admin
Date Deposited:	15 Dec 2022 09:30
Last Modified:	02 Dec 2023 02:30
DOI:	10.1016/j.epsr.2022.109024
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3166671