Variable step size rolling optimization strategy for CCHP system considering renewable energy

Abstract

The combined cooling, heating and power (CCHP) system has the characteristics of economy, energy saving and environmental protection, and has good development prospects and application value. In recent years, with the rapid development of renewable energy, large-scale renewable energy access. Considering the strong randomness and volatility of renewable energy, this paper proposes a variable step size rolling optimization strategy for CCHP system considering renewable energy. The optimization strategy first uses the fast Fourier transform to perform spectrum analysis on the illumination intensity. Based on the analysis of frequency response characteristics of illumination intensity, rolling optimization method with variable step size in different time scales is adopted to solve the real-time output of each co-supply equipment, so as to improve the accuracy and real-time performance of the overall optimization. The results of the example verify the effectiveness and feasibility of the strategy.