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The coordinated operation of controllable loads, such as air-conditioning load, and distributed generation sources in a smart grid environment has drawn significant attention in recent years. To improve the wind power utilization level in the distribution network and minimize the total system operation costs, this paper proposes a MILP (mixed integer linear programming) based approach to schedule...
With the electricity demand growing around the world, overloading is becoming a critical problem needed to be solved in distribution systems. Although renewable-based distributed generation methods are a good option, its intermittency and uncertainty should be addressed. This paper aims to provide an attempt to coordinate battery energy storage systems (BESSs) for loading management in distribution...
This paper proposes a stochastic planning framework for the battery energy storage system (BESS) with abundant distributed renewable energy sources. The uncertainties of wind power, solar power, and load demand variations are modeled through the scenario analysis. The risks of the planner in the uncertain environment is also considered. The conditional value at risk (CVaR) theory is introduced into...
In order to mitigate the high fluctuations of the wind power and stabilize the power output of the wind farm, a novel coordinated short-term dispatch scheme for the wind farm equipped with battery energy storage system (BESS) is proposed. The proposed dispatch scheme uses three different wind power forecast scenarios to regularly fully charge and discharge the BESS within its operational SOC limits,...
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