Decentralized Optimal Dispatching Modeling For Wind Power Integrated Power System With Virtual Power Plant Based On Demand Response

Due to the severe energy crisis and environmental damage caused by the massive exploitation and consumption of non-renewable energy,the development and utilization of renewable energy with large reserves and clean and environmental protection has developed rapidly.Among them,wind power with low cost and mature technology is widely used in the development of renewable energy.Large-scale wind power integration brings economy to power grid operation,but wind power is volatile,and it is difficult to achieve efficient absorption of large-scale wind power only relying on generation side dispatch.In order to enhance the flexibility of system dispatching and promote the utilization of wind power,demand response(DR)is introduced on the load side.To effectively manage and calculate the demand response of a large number of uncertainties,a virtual power plant(VPP)based on demand response model(DR-VPP)similar to that of the thermal power unit is established.By accumulating the load,DR-VPP provides virtual output to increase or decrease the load,realizing the two-way interaction between the power generation side and the load side in the economic dispatch of the power system.This thesis proposes a decentralized day-ahead optimal dispatching model for wind power integrated power system with DR-VPP to promote wind power absorption and enhance the unity and flexibility of economic dispatching.Firstly,the load shifting of DR-VPP is implemented to achieve peak-valley regulation and promote wind power integration.Utilized to partition the power system,the alternating direction method of multipliers(ADMM)method is adopted to construct a decentralized optimal dispatching model and iterative computing framework of regional collaborative optimization,which is suitable for independent and interconnected multi-region power grid.Furthermore,in the process of solving the decentralized optimal dispatching model,only the phase angle information of the boundary buses is exchanged between neighboring regions in each iteration,and the decentralized solving of the model aiming at minimize the operation cost can be realized.The overall optimization of operation economy and wind power integration is finally achieved,and the amount of exchanged information is reduced on the basis of ensuring the flexibility and privacy of information in each region.Finally,numerical results of multiple test systems verifies the rationality of the proposed model and the availability of the algorithm.