Research on Two-level and Two-stage Scheduling Optimization Model of Distributed Photovoltaic Generation Energy System

Jiabao Jia

doi:10.54097/ije.v2i3.8738

Authors

Jiabao Jia

DOI:

https://doi.org/10.54097/ije.v2i3.8738

Keywords:

Two-level and Two-stage Scheduling, Distributed PV, Particle Swarm Optimization

Abstract

Distributed PV (photovoltaic generation) is a distributed PV energy system that uses photovoltaic modules to convert solar energy into electric energy. In this paper, a two-level and two-stage scheduling optimization model and its solution algorithm under distributed PV energy system are constructed. Firstly, based on load forecasting and intermittent energy output forecasting data, this paper establishes a two-stage scheduling optimization model of distributed energy system under active distribution network. Then, the improved PSO (Particle swarm optimization) algorithm is introduced to optimize the scheduling model. Finally, the proposed model is validated by simulation results. The simulation results show that using the double-layer and two-stage scheduling strategy proposed in this paper to optimize the distributed PV energy system can not only optimize the power consumption structure, but also play the role of peak shaving and valley filling, and the state of charge of the battery has been higher than 50%, which can effectively increase its service life. Under the double-level and two-stage scheduling strategy, users get the most benefits, and the revenue growth rate is 20.07%.

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