The invention discloses a multi-time scale optimization operation method for a combined cooling heating and power
system, and the method comprises the steps: building an
electric energy static optimization model of the combined cooling heating and power
system with the comprehensive optimization of the operation cost, the energy
utilization rate and the emission of the combined cooling heating andpower
system as an optimization target; taking t as an
electric energy optimization period to predict
renewable energy power generation output and an electric load; solving the
electric energy staticoptimization model of the combined cooling heating and power system by adopting a
particle swarm algorithm, and determining the output of each device in the combined cooling heating and power system;establishing a heat / cold energy dynamic optimization model based on heat storage by taking the comprehensive optimization of the operation cost, the energy
utilization rate and the emission of the combined cooling heating and power system as an optimization target and considering the
inertia of heat / cold energy flow; and using k as a heat / cold energy flow optimization period, asopting a
dynamic planning method to solve the dynamic optimization model, and determining the output
heat power and the heat storage power of the generator set.