Optimal operation scheduling of pumped storage hydro power plant in power system with a large penetration of photovoltaic generation using genetic algorithm

In recent years, a substantial amount of photovoltaic (PV) generations have been installed in Japanese power systems. However, the power output from the PV is random and intermittent in nature. Therefore, the PV generation poses many challenges to system operation. To evaluate impacts of the behavior of PV on power supply reliability, we have developed power supply reliability evaluation model considering a large integration of PV generation into power system. As a result, the power supply reliability is getting worse as the PV penetration increases. To mitigate this issue, we have proposed that pumped storage hydro power plant (PSHPP) is used to improve the reliability. However, its operation may increase the power system operational cost. In this paper a new method for scheduling the effective operating pattern for PSHPP that makes it possible to improve both reliability and economy is presented.