DocumentCode
3600627
Title
Energy Loss Minimization in Distribution Systems Utilizing an Enhanced Reconfiguration Method Integrating Distributed Generation
Author
Esmaeilian, Hamid Reza ; Fadaeinedjad, Roohollah
Author_Institution
Dept. of Electr. & Comput. Eng., Grad. Univ. of Adv. Technol., Kerman, Iran
Volume
9
Issue
4
fYear
2015
Firstpage
1430
Lastpage
1439
Abstract
Different types of distributed generation (DG) are broadly used and optimally placed in a distribution system to improve its performance. Since the network configuration affects the system operational conditions, the network reconfiguration and DG placement should be manipulated simultaneously. Nevertheless, the complexity of the problem may prevent from achieving the optimal solution. This paper presents a novel hybrid method of metaheuristic and heuristic algorithms, in order to boost robustness and shorten the computational runtime to achieve network minimum loss configuration in the presence of DGs. The developed backward/forward power flow is adopted to consider the PV(Q) model of DG. Moreover, different patterns of load types are taken into consideration to perform a practical study. To assess the capabilities of the proposed method, simulations are carried out on IEEE 33-bus and 83-bus practical distribution network of Taiwan Power Company. Furthermore, the proposed method is applied to a 33-bus unbalanced distribution network to verify its applicability in unbalanced distribution systems. The obtained results demonstrate the effectiveness of the proposed method to find optimal status of switches, as well as locations and sizes of DG units, in a rather shorter time than other approaches in the literature.
Keywords
distributed power generation; distribution networks; electricity supply industry; load flow; minimisation; DG placement; IEEE 33-bus practical distribution network; IEEE 83-bus practical distribution network; PV(Q) model; Taiwan power company; backward-forward power flow; distributed generation; distribution system; energy loss minimization; enhanced reconfiguration method; metaheuristic algorithm; Biological cells; Energy loss; Heuristic algorithms; Load modeling; Mathematical model; Reactive power; Topology; Distributed generation (DG); distribution network reconfiguration; energy loss reduction; hybrid algorithm;
fLanguage
English
Journal_Title
Systems Journal, IEEE
Publisher
ieee
ISSN
1932-8184
Type
jour
DOI
10.1109/JSYST.2014.2341579
Filename
6882766
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