Coordinated optimization of the Planning and Operation of a WF/BESS

Abstract

This paper proposes an optimization framework to jointly determine the configuration and operation of a wind farm (WF) and battery energy storage system (BESS). The upper layer model determines the WF/BESS capacities, the WF layout, the integration buses, and is solved by the mixed-discrete particle swarm optimization (MDPSO) algorithm. The lower layer model is a multi-objective optimization problem (MOOP) deciding the operation of the WF/BESS and other generators considering demand side management (DSM). The maximum fuzzy satisfaction method (MFSM) is used to transform the MOOP in the lower layer model into a single objective optimization problem (SOOP), and solved by the particle swarm optimization (PSO). This method is verified by the test cases of a real WF. Simulation results indicate that DSM, and the wind/load patterns can influence the WFIBESS optimization.