Research on hybrid energy storage capacity allocation of photovoltaic power station based on energy storage selection and carbon income

Abstract

To reduce the impact of intermittence and volatility of photovoltaic power station (PPS) on the power grid, energy storage system (ESS) is often introduced to stabilize the output power fluctuation. In response to the low-carbon development process and considering the limitations of using fixed hybrid energy storage system (HESS) combinations for capacity optimization research, this paper proposes a HESS capacity configuration method for PPS considering energy storage selection and carbon benefits. Firstly, the wavelet packet decomposition method is used to decompose the power generation of PSS, and the high-frequency fluctuation component that needs to be stabilized by ESS is obtained. Then, an optimal operation model of HESS for PPS is established. The model considers the selection of HESS and the carbon benefits of PPS. With the goal of maximizing the net profit of the system in the whole life cycle, the model is modeled in the YALMIP toolbox and the CPLEX solver is used to solve the model to complete the selection of HESS and the optimal configuration of capacity. Taking the measured data of a PPS in China as an example for simulation, it is concluded that the HESS composed of vanadium battery and super capacitor is the optimal combination scheme, and the two can better play the complementary role.