ZHOU Tianyu, ZHANG Yinong, XU Gang, et al. Research on operation scheduling of cogeneration units coupled with heat storage tank considering peak shaving ancillary service income[J]. Thermal power generation, 2025, 54(5): 92-101.
DOI:
ZHOU Tianyu, ZHANG Yinong, XU Gang, et al. Research on operation scheduling of cogeneration units coupled with heat storage tank considering peak shaving ancillary service income[J]. Thermal power generation, 2025, 54(5): 92-101. DOI: 10.19666/j.rlfd.202409200.
Research on operation scheduling of cogeneration units coupled with heat storage tank considering peak shaving ancillary service income
In the context of building a new type of power system with new energy as the main body
it is required that thermal power units undertake more peak shaving tasks
and coupling heat storage tanks is one of the effective ways for units to improve the peak shaving capability. In order to solve the operation scheduling problem of heat storage tanks and units in the context of peak shaving auxiliary service market
thermal system simulation is conducted on combined heat and power(CHP) units to obtain coal consumption and operational safety zones that reflect the actual operating conditions of the units. After that
an optimization model for the CHP system coupled with heat storage tank is established. Aiming to maximize the net profit of the system
this article intelligently optimizes the hourly operation scheduling of a certain CHP and heat storage tank. The results show that
the heat storage process of the thermal storage tank occurs during the electricity price period
and the heat release process varies depending on the heating load. During the high cold period with high heat load
heat is only released during the electricity price valley period
while during the early and late stages with low heat load
heat is released during the valley and peak periods. The net income of the system decreases with the increase of heating load. Running the entire heating season with the optimized scheduling in this article can increase revenue by 21.13 million yuan per year
with a static investment payback period of 5.22 years.