Thermal storage capacity to enhance network flexibility in Dual Demand Side Management

the global concern for the environment and greater increase in the demand for electricity justifies integration of electrical and thermal units in the future smart grids to improve the system efficiency and reduce costs and emissions. In the distribution networks, micro-Combined Heat and Power unit equipped with a thermal storage system is an excellent candidate to meet the electrical and thermal demands. The aim of this paper is to present agent-based optimal control methodology to obtain higher flexibility for supplier to match the generations and demands. The market-based stochastic model for reducing the overall cost of generation and increasing the financial gain as long as supplying sufficient power to consumers in distribution level is described. The proposed algorithm is able to reach the optimum cost dispatching values according to different user behaviors and statistical data for switching micro-Combined Heat and Power units which are equipped with a thermal storage.