Comparative Analysis of Heuristic Techniques applied to ODGP

被引:0
|
作者
Gkaidatzis, Paschalis A. [1 ]
Doukas, Dimitrios I. [1 ]
Labridis, Dimitris P. [1 ]
Bouhouras, Aggelos S. [2 ]
机构
[1] Aristotle Univ Thessaloniki, Sch Elect & Comp Engn, Thessaloniki, Greece
[2] Technol Educ Inst Western Macedonia, Dept Elect Engn, Kozani, Greece
关键词
DG Siting and Sizing; Heuristics; Loss Minimization; ODGP; SIZING PROBLEM; ALGORITHM; SYSTEMS; DG; OPTIMIZATION; MODELS;
D O I
暂无
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
In this paper, a comparative analysis and evaluation of several heuristic techniques, when applied to the Optimal Distributed Generation Placement (ODGP) problem, is presented. Loss minimization is considered as the objective, while the network's technical characteristics as the constraints. Three versions of Particle Swarm Optimization (PSO), Global, Local and Unified (GPSO, LPSO and UPSO, respectively), Genetic Algorithm (GA), Artificial Bee Colony (ABC), Cuckoo Search (CS) and Harmony Search (HS) are compared. The implemented analysis demonstrates that all Heuristic Techniques examined can solve the ODGP problem efficiently, although UPSO emerge as the most promising, in terms of solution and convergence performance, whereas regarding execution time, HS is the most prominent. The study is evaluated upon typical 33 and 30 bus systems.
引用
收藏
页数:6
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