Techno-Economic Enhancement of Distribution Network by Optimal DG Allocation Along with Network Reconfiguration Considering Different Load Models and Levels

被引:0
作者
Patel, Chintan D. [1 ]
Tailor, Tarun Kumar [1 ]
Shah, Samyak S. [1 ]
Sharma, Gulshan [2 ]
Bokoro, Pitshou N. [2 ]
机构
[1] Nirma Univ, Dept Elect Engn, Ahmadabad 382481, Gujarat, India
[2] Univ Johannesburg, Dept Elect & Elect Engn Technol, ZA-2006 Johannesburg, South Africa
关键词
distributed generation; network reconfiguration; hiking optimization algorithm; distribution network; GENERATION ALLOCATION;
D O I
10.3390/en18123005
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
Distributed generation (DG) within the electrical distribution network (DN) has witnessed significant expansion globally, attributed to both technological advancements and environmental benefits. However, uncoordinated integration of DG in suboptimal locations can negatively influence the operational efficacy through issues such as increased power losses, voltage fluctuations, and protection coordination issues of the DN. Consequently, the optimal allocation of DG represents a critical element of consideration. Furthermore, the integration of network reconfiguration (NR) alongside DG units has the potential to significantly enhance system performance with only the existing infrastructure. Therefore, this work focuses on improving DN performance with optimal DG integration along with NR. The considered objectives are minimization of active power loss (APL) and cost of annual energy loss (CAEL). CAEL minimization by DG allocation and NR under multiple load models is addressed for the first time in this study. The efficacy of the employed hiking optimization algorithm (HOA) is illustrated through its application to the IEEE 33-Bus DN under various scenarios of DG operational power factors (PFs). A comparative analysis between the HOA and other reported methodologies is presented. Additionally, the results obtained for CAEL in case 6 (DG allocation with NR) are approximately 22.3% better that the best reported results of CAEL without NR, thereby affirming the usefulness of integrating the NR during DG allocation.
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页数:16
相关论文
共 34 条
[1]  
Adegoke Samson Ademola, 2024, Heliyon, V10, pe39298, DOI 10.1016/j.heliyon.2024.e39298
[2]   A Novel Analytical Approach for Optimal Placement and Sizing of Distributed Generations in Radial Electrical Energy Distribution Systems [J].
Azad, Sasan ;
Amiri, Mohammad Mehdi ;
Heris, Morteza Nazari ;
Mosallanejad, Ali ;
Ameli, Mohammad Taghi .
SUSTAINABILITY, 2021, 13 (18)
[3]   Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies [J].
Badran, Ola ;
Mekhilef, Saad ;
Mokhlis, Hazlie ;
Dahalan, Wardiah .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 73 :854-867
[4]  
Bendriss B., 2024, J. Eng. Res, DOI [10.1016/j.jer.2024.10.017, DOI 10.1016/J.JER.2024.10.017]
[5]   Optimal Planning of Multitype DGs and D-STATCOMs in Power Distribution Network Using an Efficient Parameter Free Metaheuristic Algorithm [J].
Dash, Subrat Kumar ;
Mishra, Sivkumar ;
Abdelaziz, Almoataz Youssef ;
Hong, Junhee ;
Geem, Zong Woo .
ENERGIES, 2022, 15 (09)
[6]   Optimal Allocation of Distributed Generation Units Correlated With Fault Current Limiter Sites in Distribution Systems [J].
El-Ela, Adel A. Abo ;
El-Sehiemy, Ragab A. ;
Shaheen, Abdullah M. ;
Ellien, Aya R. .
IEEE SYSTEMS JOURNAL, 2021, 15 (02) :2148-2155
[7]   A Mixed-Integer Linear Programming Model for the Simultaneous Optimal Distribution Network Reconfiguration and Optimal Placement of Distributed Generation [J].
Gallego Pareja, Luis A. ;
Lopez-Lezama, Jesus M. ;
Gomez Carmona, Oscar .
ENERGIES, 2022, 15 (09)
[8]   Distributed generation allocation with on-load tap changer on radial distribution networks using adaptive genetic algorithm [J].
Ganguly, Sanjib ;
Samajpati, Dipanjan .
APPLIED SOFT COMPUTING, 2017, 59 :45-67
[9]   A Cloud-Edge Collaboration Solution for Distribution Network Reconfiguration Using Multi-Agent Deep Reinforcement Learning [J].
Gao, Hongjun ;
Wang, Renjun ;
He, Shuaijia ;
Wang, Lingfeng ;
Liu, Junyong ;
Chen, Zhe .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2024, 39 (02) :3867-3879
[10]   Enhancing Distribution System Performance via Distributed Generation Placement and Reconfiguration Based on Improved Symbiotic Organisms Search [J].
Huy, Truong Hoang Bao .
JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2023, 2023