Optimizing Cooling Loads, Taking into Account Compensation Costs for Users, Temperature Factors, and Distributed Energy Sources

This article proposes an optimal solution for cooling load considering cost compensation for users, temperature factors, and the probability model of a typical distributed power source based on the aggregate load synthesis. The mathematical model is constructed with the objective function being the total maximum revenue of the aggregate loads with constraints on temperature, wind power fluctuations, system power limits, and revenue of the aggregate loads. The calculation results, simulated using the GAMS (General Algebraic Modeling System) programming language, demonstrate that the proposed optimization model brings economic benefits and significantly improves the load’s characteristic curves in the system.