Research on Demand Response Strategy of Integrated Energy System Based on Hybrid Particle Swarm Optimization with Roulette Wheel Operator

As one of the core elements of the technology base of the smart energy industry, the comprehensive energy system standard plays a link and catalytic role in promoting China's energy equipment manufacturing, the safe and stable operation of power systems, and the industrialization of scientific and technological achievements. Demand response can play an important role in the consumption of renewable energy in integrated energy systems. This paper establishes an objective function to minimize the cost of integrated energy system and optimize user power consumption. Under the multiple objective functions and constraints, the traditional single objective optimization model can no longer meet the present problem research. In view of the demand response in the integrated energy system, a multi-objective optimization method, the hybrid particle swarm algorithm with roulette operator, is adopted. This algorithm can make the game easier. The partial optimal solution is spread globally to find the optimal scheduling strategy.