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https://doi.org/10.17559/TV-20160914070007

Optimal Sizing and Placement of Solar Cell Distributed Generator Suitable for Integrated Power System Environment

K. Banumalar orcid id orcid.org/0000-0003-4726-4620 ; Faculty of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Mepco Nagar, Virudhunagar, Sivakasi, Tamil Nadu 626005, India
B. V. Manikandan ; Faculty of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Mepco Nagar, Virudhunagar, Sivakasi, Tamil Nadu 626005, India
K. Chandrasekaran ; Faculty of Electrical and Electronics Engineering, National Institute of Technology Puducherry, Thiruvettakudy, Karaikal, Puducherry 609609, India


Puni tekst: engleski pdf 1.049 Kb

str. 1044-1051

preuzimanja: 676

citiraj


Sažetak

A novel fuzzified Clustered Gravitational Search Algorithm (CGSA) has been employed for solving multi-objective problem formulated for solar based distributed generation. Optimal sizing and placement of solar distributed generation is considered. High solar penetration can lead to high-risk level in power system reliability. In order to maintain the system reliability, solar power dispatch is usually restricted based on the reliability level of the system. Two conflicting objective functions such as power loss and reliability level of the system are also considered for solving optimal placement of solar distributed generation (SDG). Binary coded CGSA is employed for solving optimal placement of SDG and sizing is determined using real coded CGSA. The fuzzy membership function for each objective is designed and multi-objective optimal placement problem has been presented. The proposed method is validated on IEEE standard 69-bus radial distribution networks. The efficiency of the proposed optimization technique is validated by comparing the results with other results available in the existing articles.

Ključne riječi

fuzzified gravitational search algorithm; multi objective optimal placement problem; reliability function; solar cell distributed generator

Hrčak ID:

204451

URI

https://hrcak.srce.hr/204451

Datum izdavanja:

20.8.2018.

Posjeta: 1.335 *