Optimal Operation of Distributed Energy Storage Systems to Improve Distribution Network Load


This study presents a technique for integrating battery energy storage systems (BESSs) into the utility grid in order to increase the utility's ability to host distributed generation (DG). For DNO-controlled BESS deployment, an effective technique for determining the best capacity and day-ahead operation strategy is offered. Two key aspects are taken into account: the price of the distribution system and the price of battery cycling in this multi-objective optimization technique. The advantages and disadvantages of BESS installations are analysed quantitatively, taking into account various service alternatives. First, voltage regulation; second, loss reduction; and third, peak reduction are all being researched as potential applications of BESS technology A comparison is made between the performance and advantages of using an optimised BESS to control only one service choice or several services at once. A broader scope of installation site effects on size, management approach, and service option is investigated further in the analysis. The results reveal that the network's load and DG hosting capacity may be effectively raised while achieving maximum operational and cost benefits through optimal integration of BESSs. The MATLAB interior-point technique was used to build this strategy. As part of the Perth Solar City Trial, simulations were run on the MV IEEE 33 bus system and the LV distribution network in Western Australia.

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