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Computational Optimization of Energy Storage System in Managing Distribution Feeder Overloading

The ever-increasing development in the world causes load demand to increase exponentially each year. The current transmission and distribution systems cannot meet this load demand. Moreover, the peak demand occurs only for a short duration. However, it stresses the power system and results in system losses and damages, which can be avoided by load shedding at the cost of customer discomfort and economic losses to utilities. Energy Storage System (ESS) is a feasible option to counter this problem. In this paper, an optimal mixed integer linear programming (MILP) based computational energy arbitrage model of ESS is proposed for efficiently scheduling its charging and discharging power to avoid overloading of distribution feeder. The proposed optimization model ensures satisfaction of feeder thermal limit constraints. The case study of distribution feeder with ESS deployment is presented for proving the effectiveness of the proposed model. The results clearly demonstrate the ESS economical operation to reduce feeder peak load and maximize ESS profit.