TY - GEN
T1 - Optimal Stochastic Dispatch of Combined Heat Power System with Guaranteed Heat Trading
AU - Abdeltawab, Hussein
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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U2 - 10.1109/JAC-ECC56395.2022.10043939
DO - 10.1109/JAC-ECC56395.2022.10043939
M3 - Conference contribution
AN - SCOPUS:85149631928
T3 - Proceedings of the 10th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2022
SP - 48
EP - 52
BT - Proceedings of the 10th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2022
Y2 - 19 December 2022 through 20 December 2022
ER -