A strategy for PV and BESS allocation considering uncertainty based on a modified Henry gas solubility optimizer

Recently, solar photovoltaic (PV) is becoming widespread overall the world as it is a renewable free source of energy. PV alone is considered as a non-dispatchable source as it relies on variable source during the day. Therefore, the primary goal of this paper is to integrate the battery energy storage (BES) with PV as a dispatchable source in radial distribution system (RDS). In addition, this paper proposes a modified version of Henry gas solubility optimization algorithm (modified HGSO) to improve the performance of the conventional HGSO algorithm. This modified version is created by inserting the simulated annealing (SA) algorithm into the conventional HGSO algorithm. The proposed algorithm is used to determine the best size of PV and BES, considering the probabilistic of PV generation and time-varying load, in order to minimize the total system power loss. IEEE 69-bus RDS is used to demonstrate the effectiveness of proposed algorithm. The results show that integration of PV and BES in RDS reduces the system power loss, enhances the system voltage and increases the system capacity. The results also prove that the proposed algorithm is highly effective in integrating multiple PV and BES units in distribution system compared with the conventional algorithms.

Automated summary

This paper focuses on integrating battery energy storage with solar photovoltaic in radial distribution system, and proposes an improved version of an optimization algorithm. The simulation results demonstrate that integrating PV and BES can reduce system power loss, increase system voltage, and enhance system capacity compared to conventional algorithms.