Multi-objective Optimization Dispatch for Regional Integrated Power and Heat Energy System Considering Adjustable Heat Load

Abstract

A multi-objective optimal scheduling strategy for regional integrated power and heat energy system (RIPHES) considering adjustable heat load (AHL) is proposed in this paper. Firstly, based on the introduction of the basic architecture and characteristics of RIPHES, the component unit models of RIPHES are established. Secondly, the electric energy balance constraint and heat energy balance constraint of RIPHES are set. Then the multi-objective function based on multi-scene optimization operation requirement is established, including energy conservation target, absorption target and emission reduction target. Finally, an integrated multi-objective optimization scheduling model for RIPHES is established, and the effectiveness and feasibility of the model and strategy are verified by example simulation and analysis. The proposed model and strategy can effectively save primary fossil energy, promote new energy consumption and reduce carbon emissions, which can provide theoretical support for the modelling and optimization of key technologies in integrated energy systems.