A Two-stage Stochastic Robust Optimization of the Combined Cooling,Heating and Power(CCHP)System Considering Uncertainties
In this paper,the optimal configuration and operation of the combined cooling,heating and power system are studied.A two-stage stochastic robust optimization model is established considering the influence of uncertainties.In the planning stage,the system adjusts the capacity design according to the operation strategy and various scenarios.In the operation stage,the system determines the equipment output according to the actual situation.In this paper,stochastic scenario generation method,column and constraint algorithm and KKT condition are used to solve the optimization model.Taking an industrial park in Xi'an of Shaanxi Province as an example,this paper makes an case study.The results show that the uncertainty factors have obvious effects on the investment cost,installed capacity and operation strategy of the system,and the economy and stability should be balanced in the design of the system.This paper provides an effective method and reference for the planning and operation of the combined cooling,heating and power supply system.
CCHPuncertain conditionsstochastic robust optimizationcolumn and constraint methods(C&CG)
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