Integrated optimization on Layout Planning of Substation and Energy Storage Station in Photovoltaic Self-generating Grid

Current research on layout planning of grid seldom takes photovoltaic self-generating into consideration and rarely optimizes the substation and energy storage station (ESS) together. We propose an integrated optimization method on location and capacity planning of substation and ESS in photovoltaic self-generating grid in this paper. We first describe pattern of user power consumption and the photovoltaic self-generating power, before predicting the net load. Meanwhile, we derive time series of substation power distribution with the historical data. On this basis, we take the substation power distribution and capacity upper bound in consideration to obtain the substation capacity. And the time series of net load and substation power distribution together serves as the foundation to calculate the capacity of ESS. Then, we construct an integrated optimization model to maximize the profit of investment on substation and ESS. For simplification, we assume that there is only one ESS in the power grid, and the location is given. In the numerical experiment, the optimal location and capacity of substations, and the optimal capacity of ESS are obtained by CPLEX solver. Compared with a model without ESS, the proposed model is proved to improve the profit and the service scale of substations, which can enhance the performance of operation management under renewable energy environment.