Economic-emission–constrained multi-objective hybrid optimal energy flow of integrated energy systems

Abstract

The energy flow optimization is important to the operation, planning and trading of integrated energy systems. Based on the energy hub model, this paper establishes a multi-objective hybrid optimal energy flow model for integrated energy systems that considers operation economy and pollution gas emissions. Power grid constraints, gas grid constraints and energy hub constraints are involved in the proposed model. The NSGA-II algorithm and particle swarm optimization algorithm combined solution method is used to solve the proposed multi-objective hybrid optimal energy flow model. The results show that the proposed model can balance the operation economy and pollution gas emission according to the difference of energy price and load demand. It can flexibly change the transformation and utilization mode of natural gas, so as to provide more operation solutions for operators and realize more rational utilization of energy.