Abstract
The output of intermittent distributed generation (DG) is characterized by intermittently and randomness, and its access makes distribution system planning and operation management more difficult. The rapid response characteristic of energy storage system (ESS) can deal with the problems brought by the intermittent DG. A bi-level model for DG and ESS integrated planning is proposed, which optimizes the location and capacity of DG and ESS to achieve minimum investment, power loss, and voltage deviation in the upper level, and optimizes the daily operation strategies of ESS to maximize the daily profit in the lower level. An improved multi-objective particle swarm optimization (PSO) algorithm and YALMIP solver are used to solve the model. Case study on IEEE 33-bus distribution system shows the effectiveness and feasibility of the proposed model.
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