Optimal wind turbine and air conditioner loads control in distribution networks through MILP approach

This paper considers two important challenges in the distribution network with high renewable penetrations. One is that during the peak load, generation is normally low or zero and it will cause the voltage drop. Meanwhile, during peak generation period, the generated power will exceed the load and be injected to the grid, which will subsequently cause the voltage rise. This paper proposes a MILP (Mixed Integer Linear Programming) approach to accommodate more wind generation in distribution networks. By coordinating the status of controllable load, battery energy storage system (BESS) and wind power, this paper proposes an optimal scheduling model for the distribution system to minimize the total costs from grid. Rolling optimization and weighting factor were implemented to obtain a good operation strategy under real-time operation. Detailed case studies are conducted to demonstrate the feasibility of the proposed method.