Reconfiguration of Distribution Networks with Simultaneous Allocation of Distributed Generation Using the Whale Optimization Algorithm

被引:12
作者
Mahdavi, Elham [1 ]
Asadpour, Seifollah [1 ]
Macedo, Leonardo H. [2 ]
Romero, Ruben [1 ]
机构
[1] Sao Paulo State Univ, Dept Elect Engn, Brasil Ave, BR-15385000 Ilha Solteira, Brazil
[2] Sao Paulo State Univ, Dept Engn, Barrageiros Ave, BR-19274000 Rosana, Brazil
基金
巴西圣保罗研究基金会;
关键词
distributed generation; distribution network; reconfiguration; whale optimization algorithm; DISTRIBUTION-SYSTEM; MODEL; MICROGRIDS;
D O I
10.3390/en16124560
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The economic interest in power loss minimization and regulatory requirements regarding voltage levels in distribution systems are considered. In this paper, a computational technique to assist in the optimization of the power losses and voltage characteristic in the steady state through distribution network reconfiguration and the location and size of the distributed generators is addressed. The whale optimization algorithm (WOA) is chosen to perform this task since it can explore the sizeable combinatorial search space of the problem, which is also nonlinear and nonconvex. The purpose of this study is to mitigate power losses; voltage ranges are borne in mind as the problem restrictions. The proposals for solving the issue are evaluated using a specialized power flow algorithm. The algorithm is implemented in MATLAB and the 33-bus and 69-bus grids are employed to assess the performance of the approach. The results indicate that the WOA method outperforms regarding power loss reduction and voltage characteristic improvement in the concurrent integration of distribution network reconfiguration and distributed generators compared with the four metaheuristics shown in the results section.
引用
收藏
页数:19
相关论文
共 37 条
[1]   Convex Models for Optimal Utility-Based Distributed Generation Allocation in Radial Distribution Systems [J].
Akbari, Mohammad Amin ;
Aghaei, Jamshid ;
Barani, Mostafa ;
Niknam, Taher ;
Ghavidel, Sahand ;
Farahmand, Hossein ;
Korpas, Magnus ;
Li, Li .
IEEE SYSTEMS JOURNAL, 2018, 12 (04) :3497-3508
[2]   Enhanced Artificial Immune Systems and Fuzzy Logic for Active Distribution Systems Reconfiguration [J].
Alonso, Guillermo ;
Alonso, Ricardo F. F. ;
De Souza, Antonio Carlos Zambroni Zambroni ;
Freitas, Walmir .
ENERGIES, 2022, 15 (24)
[3]   A Multi-Objective Approach for Voltage Stability Enhancement and Loss Reduction Under PQV and P Buses Through Reconfiguration and Distributed Generation Allocation [J].
Barnwal, Akhilesh Kumar ;
Yadav, Lokesh Kumar ;
Verma, Mitresh Kumar .
IEEE ACCESS, 2022, 10 :16609-16623
[4]   Mitigating failure propagation in microgrids through topology reconfiguration [J].
Bawayan, Haneen ;
Younis, Mohamed .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2020, 23
[5]   Optimal siting and sizing of distributed generation accompanied by reconfiguration of distribution networks for maximum loss reduction by using a new UVDA-based heuristic method [J].
Bayat, A. ;
Bagheri, A. ;
Noroozian, R. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 77 :360-371
[6]   Optimal Allocation/Sizing of DGs/Capacitors in Reconfigured Radial Distribution System Using Quasi-Reflected Slime Mould Algorithm [J].
Biswal, Saubhagya Ranjan ;
Shankar, Gauri ;
Elavarasan, Rajvikram Madurai ;
Mihet-Popa, Lucian .
IEEE ACCESS, 2021, 9 :125658-125677
[7]   A Risk-Averse Conic Model for Networked Microgrids Planning With Reconfiguration and Reorganizations [J].
Cao, Xiaoyu ;
Wang, Jianxue ;
Wang, Jianhui ;
Zeng, Bo .
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (01) :696-709
[8]  
Damodar R. M., 2018, imanager's J. Electr. Eng., V11, P17, DOI 10.26634/jee.11.3.14119
[10]   Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration [J].
Gao, Yuanqi ;
Wang, Wei ;
Shi, Jie ;
Yu, Nanpeng .
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (06) :5357-5369