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Optimization of Battery Storage and Renewable Distributed Generations Allocation, Battery Charge-discharge Profile in Distribution Power Feeders

The paper presents a study on the simultaneous determination of the optimal allocation of the battery storage system and renewable distributed generation units in power distribution systems using the co-simulation approach. A method for determining the optimal sizes/powers and locations of battery storage systems and distributed generation units based on a metaheuristic optimization technique is proposed. In addition to the optimal allocation, the optimal deployment of battery storage units is also considered and included in the optimization problem. The fuzzy based controller for battery storage charging/discharging is proposed and optimized simultaneously with allocation optimization. Minimization of system losses is considered as the objective of the optimization problem. The cosimulation approach is used to simulate the power system model and the optimization procedure. The presented optimization framework is applied to the IEEE 37 node test distribution feeder to present the procedure. The power losses are compared for three scenarios. The achieved reduction in power losses compared to the base case is 28.5 and 33.1 percent for scenarios 2–3, respectively.

battery energy storage system ; battery charge-discharge profile ; distributed generation ; fuzzy inference system ; optimal allocation

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