Optimal power flow using multi-objective genetic algorithm to minimize generation emission and operational cost in micro-grid

Author(s): Ontoseno Penangsang, Primaditya Sulistijono*, Suyantoa
Institut Teknologi Sepuluh Nopember, Jl. Arief Rahman Hakim-Kampus Keputih-Sukolilo, Surabaya and 60111, Indonesia
International Journal of Smart Grid and Clean Energy, vol. 3, no. 4, October 2014: pp. 410-416
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.3.4.

AbstractThis paper proposes an optimal power flow (OPF) method that considers the entire system to determine the optimal operating strategy and cost optimization scheme as well as the reduction of emissions for micro-grid. Recent works emphasize optimal operation to minimize cost and emission without considering the OPF. This work applies optimal power flow solution including constrains in micro-grid system. The OPF process utilizes multi-objective genetic algorithm optimization. The method is programmed in MATLAB and tested on a modified IEEE thirty-bus test power system which has distributed generation integration. The results are compared with optimization without OPF. Based on these results, the optimization with OPF will determine optimal solution close to real condition as well as safety of the system.

KeywordsGenetic algorithm, micro-grid, multi-objective, optimal power flow (OPF)

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