Power Restoration Method of Distribution Network with ESS and DG

Author(s):  
Shoujing Sun ◽  
Wei Cong ◽  
Jifu Qiu ◽  
Ming Chen ◽  
Zhen Wei ◽  
...  
2014 ◽  
Vol 672-674 ◽  
pp. 1175-1178
Author(s):  
Guang Min Fan ◽  
Ling Xu Guo ◽  
Wei Liang ◽  
Hong Tao Qie

The increasingly serious energy crisis and environmental pollution problems promote the large-scale application of microgrids (MGs) and electric vehicles (EVs). As the main carrier of MGs and EVs, distribution network is gradually presenting multi-source and active characteristics. A fast service restoration method of multi-source active distribution network with MGs and EVs is proposed in this paper for service restoration of distribution network, which takes effectiveness, rapidity, economy and reliability into consideration. Then, different optimal power flow (OPF) models for the service restoration strategy are constructed separately to minimize the network loss after service restoration. In addition, a genetic algorithm was introduced to solve the OPF model. The analysis of the service restoration strategy is carried out on an IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, and the feasibility and effectiveness are verified


2012 ◽  
Vol 14 ◽  
pp. 726-731 ◽  
Author(s):  
Tsukasa Yokoyama ◽  
Takeshi Nagata

2014 ◽  
Vol 61 ◽  
pp. 339-344 ◽  
Author(s):  
Hong Xiaoyu ◽  
Xia Mingchao ◽  
Han Yinghui

Author(s):  
Abd Rahman Khalid ◽  
Sharifah Mumtazah Syed Ahmad ◽  
Asma Shakil ◽  
Nawar Nik Pa ◽  
Roslin Mohd Shafie

2015 ◽  
Vol 734 ◽  
pp. 491-494
Author(s):  
Jun Feng Wang

The purpose of this paper is to propose a mixed integer programming model of service restoration reconfiguration considering the minimum switching frequency and power losses. The recovery after the service failure of distribution network is a multi-objective optimization problem with constraints. This paper also discusses the reconfiguration algorithms for power restoration and load balancing in the real-time operation environment of distribution network, which can make the problem solving easy to handle and control. The methods and measures for service auto restoration in distribution automation system are analyzed by examples.


Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5996
Author(s):  
Ogbonnaya Bassey ◽  
Karen L. Butler-Purry

The electricity grid faces the possibility of outages due to extreme weather events, cyber-attack, and unexpected events. When these unwanted events occur, it is desired that electricity be restored as soon as possible to meet the power demands of critical loads. The microgrid approach to power restoration holds a lot of promise, since microgrids can operate in island mode. This paper presents a novel sequential restoration methodology for microgrid black start. The microgrid architecture considered is assumed to be operating in multi-master mode. The master distributed generators (DGs) are coordinated to operate together through droop control. Several operational constraints are formulated and linearized to realize a mixed-integer linear programming (MILP) problem. The method is studied on an islanded microgrid based on a modified IEEE 13 node test feeder. Detailed transient simulation in PSCAD was used to verify the accuracy of the restoration methodology. The developed restoration method can maximize the energy restored while ensuring good voltage and frequency regulation, and ensure that power scheduling mismatch is shared in the desired proportion.


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