Optimal Stochastic Dispatch of Combined Heat Power System with Guaranteed Heat Trading

Combined Heat and Power (CHP) is an excellent method for maximizing the efficiency of a multicarrier energy system. Generated heat from a CHP can be used to supply a thermal load or storage. Since the CHP-generated heat depends on the generated electric power, some excessive heat may be wasted if storage is not a viable option. This work proposes a day-ahead energy management system (EMS) with redundant heat trading. The system contains Electric Vehicle (EV), Photovoltaic (PV), hot water tank storage, gas boiler, and Electric heater to meet the electric and thermal energy demands in a multicarrier energy system. To account for uncertainties, various scenarios for the electrical/thermal load, PV power, and temperature are considered. A Monte-Carlo-based two-level EMS is developed to calculate the required heat reserve to trade heat while accounting for all uncertainties. Simulation results show that the proposed EMS can predict the necessary reserve for guaranteeing reliable day-ahead heat commitment.