Power System Planning Based on Cost Correction with High-Penetration of Renewable Energy

Abstract

Abstract The growing prevalence of renewable energy has led to a greater impact on power grid planning due to the inherent indeterminacy and variability in renewable energy output. The establishment of a power grid planning system that can effectively accommodate large-scale renewable energy generation holds significant practical importance. Given the vast magnitude of optimization decision-making, the number of scenes and time granularity in the planning model are limited, and its cost data cannot reflect the impact of considering renewable energy with high penetration, resulting in inaccurate planning scheme. Then some conditions after operation simulation may exceed the planning expectation or cost a lot. Based on the problems, this paper proposes a planning-oriented cost model parameter feedback correction method based on the planning scheme simulation data. The planning scheme is simulated to get simulation data, which is subsequently used to compute more precise setup parameters. According to these parameters, a more accurate planning scheme is obtained. Finally, combined with an example, the simulation results of the conventional power grid planning model and the planning model with cost correction are compared, and the rationality and effectiveness of the proposed method are verified.