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Abstract. Recently, the use of renewable energy such as wind and solar energy has rapidly increased in micro-grids. Due to the fluctuation of wind speed and solar radiation, the scheduling of wind turbines (WTs) and photovoltaic (PV) plants are difficult in micro-grids. In this paper, a probabilistic energy management system (PEMS) is used to optimize the operation of a grid-connected micro-grid via Economic and Environmental Criteria. For optimal operation of WTs and PVs with other DERs, the fluctuations of WT and PV power generation has been considered and a multiobjective probabilistic economic/environmental load dispatch is presented. For optimal operation of the micro-grid, a complete mathematical model for energy storage system (ESS) is introduced. Finally, an efficient improved bacterial foraging-based fuzzy satisfactory optimization algorithm is proposed to solve the multi-objective problem. The results show that the PEMS can optimize total operation cost and net emissions of the micro-grid, simultaneously.

Recently, renewable resources, are increasingly used for power generation in most countries. Qeshm Island, has significant solar radiation and its required power can be provided by solar power plants. In this paper a technical and economic study is performed and the possibility of providing some required power of Qeshm Island by photovoltaic farms. Due to the variation in the solar radiation, their power generation depends on the solar radiation. In this paper three types of the photovoltaic farms, including fixed panel farms, farms equipped with single and double axis tracker are investigated. The real economical and technical data is used in 2011. The investment, installation and operation costs of photovoltaic farms as well as the penalty of CO2 producing thorough power plants with fossil fuels are considered. After economic evaluation, it is deduced that single axis photovoltaic power plant, is suitable for power providing of Qeshm Island.