The capacity planning method for a hydro-wind-PV-battery complementary system considering the characteristics of multi-energy integration into power grid

Abstract

The hydro-wind-PV-battery complementary operation has the potential to increase the integration of renewable energy sources into power grid. Nevertheless, the determination of the optimal capacity configuration mode and size for a hydro-wind-PV-battery complementary system (HWPBS) remains a persistent challenge. This study proposes a capacity planning framework for the HWPBS considering the characteristics of multi-energy integration to power grid. First, the centralized (CCP) and distributed (DCP) configuration patterns considering the ways of multi-energy integration into power grid are proposed to explore the optimal capacity configuration mode. Second, considering the randomness of incoming water of hydropower stations, a scenario analysis technique is proposed to obtain the typical inflow scenarios. Then, with the objectives of maximizing expected renewable generation and minimizing expected power abandonment and load loss, the capacity configuration models for the HWPBS under the CCP and DCP are developed. A load reconstruction method is proposed to reduce the computational burden. The parallelogram method is implemented to linearize the hydropower production model. Additionally, a set of indicators are proposed to evaluate the economy and reliability of the HWPBS. The proposed framework is applied to the Yalong River Basin. The results show that: the wind-PV configuration capacity is affected by load demand, battery storage and configuration patterns. The load demand process with better correlation to wind-PV output is advantageous for integrating wind and solar resources. Battery storage can effectively reduce power abandonment and load loss, and the configuration pattern has a significant impact on the final capacity of wind-PV power.