Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source

Amjad Anvari Moghaddam, Alireza Seifi, Taher Niknam and Mohammad Reza Alizadeh Pahlavani

Energy, 2011, vol. 36, issue 11, 6490-6507

Abstract: As a result of today’s rapid socioeconomic growth and environmental concerns, higher service reliability, better power quality, increased energy efficiency and energy independency, exploring alternative energy resources, especially the renewable ones, has become the fields of interest for many modern societies. In this regard, MG (Micro-Grid) which is comprised of various alternative energy sources can serve as a basic tool to reach the desired objectives while distributing electricity more effectively, economically and securely. In this paper an expert multi-objective AMPSO (Adaptive Modified Particle Swarm Optimization algorithm) is presented for optimal operation of a typical MG with RESs (renewable energy sources) accompanied by a back-up Micro-Turbine/Fuel Cell/Battery hybrid power source to level the power mismatch or to store the surplus of energy when it’s needed. The problem is formulated as a nonlinear constraint multi-objective optimization problem to minimize the total operating cost and the net emission simultaneously. To improve the optimization process, a hybrid PSO algorithm based on a CLS (Chaotic Local Search) mechanism and a FSA (Fuzzy Self Adaptive) structure is utilized. The proposed algorithm is tested on a typical MG and its superior performance is compared to those from other evolutionary algorithms such as GA (Genetic Algorithm) and PSO (Particle Swarm Optimization).

Keywords: PSO (Particle swarm optimization); Chaotic search; Multi-operation management; Micro-grid; RESs (Renewable energy sources) (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (118)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:36:y:2011:i:11:p:6490-6507

DOI: 10.1016/j.energy.2011.09.017

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