Research on optimal scheduling technology of virtual power plant based on ant-lion optimization algorithm
The unique heat-determined power working mode of coal-fired cogeneration units and the anti-peaking characteristics of wind power lead to the problems of insufficient peaking capacity and high carbon emissions in virtual power plants.In this paper,we propose an optimal scheduling technology of virtual power plant based on ant-lion optimization algorithm.The carbon capture technology is supplemented by a reasonable demand response mechanism to realize the flexible and low-carbon operation of the virtual power plant.Firstly,an optimal scheduling model was established with the objective of the highest economic efficiency in one scheduling cycle.Secondly,a hybrid strategy based on chaotic mapping and tournament selection is designed.The boundary checking mechanism on the search space is utilized to effectively avoid the situation that too many potential solutions are at the same boundary.Finally,the simulation results show that the planned virtual power plant has a reasonable structure,and the proposed scheduling strategy can improve the system's new energy consumption capacity and total revenue while reducing carbon emissions by coordinating the resources on both the source and load sides.
integrated energy systemvirtual power plantantlion optimizationrenewable energy consumption
万方数据
维普
