Abstract
This paper contains a 24 hours based economic/ environmental scheduling of micro grid with renewable energy sources connected with main grid has been proposed to optimize cost and emission without shedding any load. The proposed framework has considered 24 hours based variable load demand and electricity pricing as well as forecasted output of photovoltaic and wind turbine. A complex micro grid consists of microturbine, fuel cell, photovoltaic, wind turbine and battery has been considered as a test system in this problem. In this paper, a modified Particle Swarm Optimization (mPSO) technique with weight aggregation method has been applied to solve this problem. Three case studies i.e., cost optimization, emission optimization and both cost and emission optimization has been analyzed in this paper. A comparison study of result obtained from basic PSO and modified PSO also has been shown. Finally, the results of proposed method and previous method have been compared and verified here.
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