Comparison of Optimal DG Placement in Radial Distribution System Using Centrality Index

被引:2
作者
Bharti, Dibya [1 ]
De, Mala [1 ]
机构
[1] Natl Inst Technol Patna, Dept Elect Engn, Patna 800005, Bihar, India
来源
ADVANCES IN POWER AND CONTROL ENGINEERING, GUCON 2019 | 2020年 / 609卷
关键词
Distributed generation (DG); Radial distribution network; Voltage profile improvement; Average electrical centrality index; VOLTAGE STABILITY; DISTRIBUTION NETWORKS; OPTIMAL ALLOCATION; GENERATION UNITS; POWER LOSSES; ENHANCEMENT; MINIMIZATION;
D O I
10.1007/978-981-15-0313-9_9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Distribution system usually functions at low voltage and high currents, which consequently develops excess power loss along with poor voltage profile. Various methods have been suggested to resolve the problems of distribution system like loss reduction, voltage profile enhancement, and curtailment of network operational cost. Optimal distributed generation (DG) allocation is one of the pre-eminent strategies to maintain the operational security of distribution system. In this article, optimal placement of two dissimilar types of DGs is compared in radial distribution network for voltage profile improvement. Electrical centrality indices are applied for identifying the optimal location of DGs and capacity of DGs is optimized to improve the voltage profile, which consequently reduces system loss. By using electrical centrality indices, two dissimilar types of DGs are placed in network separately and system performance is compared. The proposed method evaluates the placement of different types of DGs in 34-bus radial distribution network as well as 69-bus radial distribution network.
引用
收藏
页码:119 / 131
页数:13
相关论文
共 41 条
[1]   Monte-Carlo simulation based multi-objective optimum allocation of renewable distributed generation using OpenCL [J].
Abdelaziz, Morad ;
Moradzadeh, Majid .
ELECTRIC POWER SYSTEMS RESEARCH, 2019, 170 :81-91
[2]  
Ali AH, 2018, PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN COMPUTER ENGINEERING (ITCE' 2018), P324, DOI 10.1109/ITCE.2018.8316645
[3]  
[Anonymous], 2013, P 2013 IEEE ENERGYTE
[4]  
Ayodele TR, 2015, J Renew Energy
[5]   Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration [J].
Bharti, Dibya ;
De, Mala .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2019, 29 (07)
[6]   A Centrality Index Based Approach for Selection of Optimal Location of Static Reactive Power Compensator [J].
Bharti, Dibya ;
De, Mala .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2018, 46 (08) :886-899
[7]  
Bharti D, 2017, 2017 RECENT DEVELOPMENTS IN CONTROL, AUTOMATION AND POWER ENGINEERING (RDCAPE), P49, DOI 10.1109/RDCAPE.2017.8358238
[8]  
Candelo-Becerra John Edwin, 2015, Dyna rev.fac.nac.minas, V82, P60, DOI 10.15446/dyna.v82n192.48573
[9]   Optimal placement of distributed generation units in distribution systems via an enhanced multi-objective particle swarm optimization algorithm [J].
Cheng, Shan ;
Chen, Min-you ;
Wai, Rong-jong ;
Wang, Fang-zong .
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS, 2014, 15 (04) :300-311
[10]   Loss reduction and loadability enhancement with DG: A dual-index analytical approach [J].
Duong Quoc Hung ;
Mithulananthan, N. .
APPLIED ENERGY, 2014, 115 :233-241