Operation optimization for thermal and electrical systems composed of cogeneration, photovoltaic power and power storage based on mixed variable objective decomposition model
ZHAO Zhijun, ZHANG Chunding, LIU Kai, et al. Operation optimization for thermal and electrical systems composed of cogeneration, photovoltaic power and power storage based on mixed variable objective decomposition model[J]. Thermal power generation, 2024, 53(10): 122-133.
ZHAO Zhijun, ZHANG Chunding, LIU Kai, et al. Operation optimization for thermal and electrical systems composed of cogeneration, photovoltaic power and power storage based on mixed variable objective decomposition model[J]. Thermal power generation, 2024, 53(10): 122-133. DOI: 10.19666/j.rlfd.202402039.
For the integrated energy system composed of photovoltaic power generation
energy storage battery storage and discharge
and coal-fired heating boiler and cogeneration
the power and heat power systems operate in isolation. To analyze the relationship between the information interaction and economic coordination and dispatch of the integrated energy system
by using the J.F.Benders mixed variable target decomposition method
the physical model of the cogeneration photovoltaic storage thermal power system is decomposed according to the main thermal system and the power subsystem. The information interaction between the sub-objectives is analyzed by the objective function and the system boundary conditions
and the mathematical model of the coordinated scheduling operation of photoelectric consumption and storage and cogeneration is obtained. The protection information is isolated and redirected
and the multi-dimensional variable problem of mixed integer programming is iteratively calculated by Gurobi solver. Based on the case of the integrated energy system
three operating conditions under different load requirements of power and heat are analyzed
and it is found that
the economic benefits of the thermal power operation system are synergistic and complementary
and the information interaction expands the space for photovoltaic consumption. The net load of the system reduces by 13.63% on average
the interactive power loss decreases by 9.480 7 million yuan/year
and the energy utilization efficiency rises by 4.48 percentage points
which shows that this model can serve the economic coordination and scheduling optimization and energy efficiency improvement of the integrated energy system.