JIAN Xuehui, CHEN Chunlong, ZHAO Fei, WANG Hongli, LUO Ludong, ZHOU Jun. Operation Strategy of Multi-energy Power System Considering Operational Flexibility of Heat Storage Device[J]. Modern Electric Power, 2023, 40(4): 562-569. DOI: 10.19725/j.cnki.1007-2322.2022.0003
Citation: JIAN Xuehui, CHEN Chunlong, ZHAO Fei, WANG Hongli, LUO Ludong, ZHOU Jun. Operation Strategy of Multi-energy Power System Considering Operational Flexibility of Heat Storage Device[J]. Modern Electric Power, 2023, 40(4): 562-569. DOI: 10.19725/j.cnki.1007-2322.2022.0003

Operation Strategy of Multi-energy Power System Considering Operational Flexibility of Heat Storage Device

  • In view of the coordination of thermal power with wind power in multi energy power system, from the perspective of the combined thermoelectric power system operator, the complementary characteristics of thermal energy and electric energy were deeply explored, and the active capacity generated by the horizontal coordination and optimization of thermal power was quantitatively analyzed, which runs through the whole vertical power balance process so as to participate in the electricity market with uncertain wind power and formulate reasonable operation strategies, and enhance the schedule ability and controllability of the system. Firstly, on the basis of analyzing influencing factors of the operation strategy the coupling drag among heat loads was decoupled by heat storage devices, and taking the maximized total operation earning as the objective a dispatching model for combined heat and power system including wind power was established to optimize the output power of thermoelectric generating units and heat storage devices. Secondly, considering the impacts of predicted deviation of wind power, the operating flexibility of heat-storage devices and the time-of-use price under market environment on system operation strategy, taking the capacity of heat-storage for example, the factors restricting the operation flexibility of heat-storage devices were explored. Finally, the validity and rationality of the proposed model are verified by the computing example in the environment of Visual Studio software.
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