Optimization Strategy for Collaborative Frequency Modulation of PVs-ESs Based on MPC

Abstract

[Introduction] In order to reduce frequency disturbance caused by photovoltaic (PV) generation to power grid and further improve the frequency modulation effect, an optimization strategy for collaborative frequency modulation of PVs-ESs based on MPC (Model Predictive Control) is proposed. The basic principles, control flow, constraints, target function and weight coefficient of the strategy are analyzed. [Method] A model of optical-storage network based on MPC was constructed and the nonlinear state space equation was derived. In order to verify the frequency modulation effect of this strategy, four different simulation environments were set up: no energy storage, battery storage, mixed energy storage and the strategy proposed in this paper. [Result] Simulation results show that compared with other scenarios, the proposed strategy is optimal in terms of frequency modulation and the worst in the absence of energy storage. In addition, the hybrid energy storage method is superior to the battery energy storage method. [Conclusion] The effectiveness of the proposed strategy is validated on the MATLLAB/Simulink platform. In photovoltaic power generation system, optimal control of energy storage and PV maximum power point tracking can make the grid frequency more stable and improve the stability of the whole system. The results of this study can be used as a reference for PV connection.

Keywords

• collaborative frequency modulation
• pvs-ess
• mpc
• hybrid energy storage
• electrical power systems