Application of Improved Particle Swarm Optimization for Optimal Short-term Thermal Unit Commitment with Emissions Constraints

摘要

This paper integrated the Particle Swarm Optimization and Stochastic Weight Trade-off model to propose an Improved Particle Swarm Optimization (IPSO) for dealing with the emission-constrained thermal unit commitment problems. The objective function of UC problem with emission considerations includes the sub-objective functions of operating cost and emissions. IPSO is used to find the objective function under the operational and system's constraints. The effectiveness and efficiency of the IPSO are demonstrated by using a classical 10～100 units and a Simplified TPC 345KV system. Simulation results will provide a novel tool for thermal unit commitment problems to search the trade-off between emission and cost. It can also provide an interactive mechanism to adjust the emission permit. With the developed approach, dispatchers will know where to look for improvement and how to confirm a final schedule with emission permit.