Operation optimization for park with integrated energy system based on integrated demand response

Industrial parks in China have a large energy consumption with a noticeable peak valley difference between energy consumption and colossal carbon emission. This causes a significant contradiction between energy consumption and energy supply in the country. To solve the above-mentioned problems, an optimization method is proposed for the park integrated energy system based on integrated demand response. First, the energy supply model of the typical day integrated with the energy system in the industrial park during summer was constructed. Second, the price demand response model was established according to the substitution elasticity coefficient. Considering the dynamic characteristics of temperature, the equivalent thermal parameter model and the predicted mean vote (PMV) index model were used to select the adjustable demand response model. Then, aiming at the minimum operation cost and carbon emission, the adaptive chaotic drosophila melanogaster optimization algorithm with niche technology was used to solve this problem, whereby the Pareto optimal solution set was obtained. The VIKOR method was used to select the optimal result comprehensively. Finally, the integrated energy system of an north industrial park was analyzed, and the results were regarded as an example. The results showed that the method proposed by this paper improved the economy considerably and provided environmental protection effectively.