A Multi-objective Optimal Dispatch Method for Integrated Energy System Considering Multiple Loads Variations

This paper proposes a multi-objective optimization dispatching method for the Integrated Energy System (IES), in which cooling/heating/electricity multi-load demand are included, and IES’s requirements terms of energy efficiency, economy, emissions considered. We established an IES model optimal dispatch, simulated cooling/heating/electric multiple load variations it; then we objective functions based on scheduling environmental issues. The is solved by finding pareto front genetic algorithm (GA), so that decision makers can filter out plan their preference, single-objective used first to find initial population GA. Finally, proposed method’s effectiveness verified case studies.