Abstract
Yalong River in Sichuan, China is a typical cascade hydro-photovoltaic-pumped storage (CHPPS) correlation system. CHPPS correlation system can achieve the objectives of multi-energy complementarities, renewable energy consumption and power supply structure optimization. This paper proposes a novel planning of cascade hydro-photovoltaic hybrid generation with pumped storage generations (PG). Firstly, the concept of comprehensive model of location and capacity for multi-energy system is proposed. With the form of equality constraint, correlation model reflects the space-time complementarities of hydropower (HY) and photovoltaic power (PV). Secondly, the correlation model is derived in detail with the specific form provided. Then, a multi-objective planning model is established with power flow and reliability constraints. Thereafter, a novel solution method that combines the fast non-dominated genetic algorithm (NSGA-II) is developed. An example using the CHPPS based on IEEE 33-node distribution system is demonstrated in this paper. Simulation results show that the proposed model considering the correlation model possesses reasonable investments, good income and excellent water-light complementary ability.
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