Abstract
As uncertain renewable distributed generations (DG) challenge conventional distribution network operation and planning, the application of energy storage system (ESS) is becoming popular nowadays. In this paper, optimal planning for grid-connected ESS in distribution networks is presented. The optimal planning determines the location and capacity of ESS while minimizing the total cost of distribution network. A chance-constrained problem is formulated to represent the uncertainties result from DG fluctuations and load fluctuations in distribution networks. The optimal long-term planning is based on a short-term optimal power flow process considering uncertainties in practical systems. A hybrid particle swarm optimization-Tabu search (PSO-TS) algorithm is used to solve the problem. Probabilistic load flow calculation based on maximum entropy method is used in short-term planning to check the chance constraints satisfactions. Also, islanding mode analysis considering ESS and DGs is developed to evaluate the reliability cost from failure events. A numerical study of IEEE case 33 shows the advantages of the proposed methodology.
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