Multi-objective Optimal Active Power Dispatch With Virtual Power Plant Integration

In recent years, energy crisis and environmental issues have become the most urgent problems that many countries around the world have to face. In order to make efficient use of energy resources, achieve energy-saving targets and promote the development of renewable energy, the traditional power system is experiencing a new technological revolution and power system dispatch is facing many uncertainties which brings new challenges. However, the traditional scheduling method only depends on the generation side, which is no longer applicable to the new situation. The research on multi-objective power system interactive optimal dispatch based on the smart grid environment has great theoretical value and practical significance.Based on the interactive smart grid with renewable energy resources integration, this paper introduces the concept of virtual power plant. The research framework for power system interactive optimal dispatch considering demand response is built. Theoretical analysis and simulation studies about power system interactive optimal dispatch method mainly take into account the virtual power plant for electric vehicle. On the demand side, for electric vehicle charging characteristics and the owners’ behavior, the management model for the electric vehicle virtual power plants is proposed. On the grid side, the interactive optimal dispatch model is established which aims at minimizing the total cost of power generation, minimizing pollutant emissions, maximizing the acceptance of wind power capacity. Multi-objective differential evolution algorithm is used to find the solution to the model and the simulation on a ten-machine example system verifies the effectiveness and rationality of the model. The impacts of the virtual power plant control objectives, integration scale and reserve request on the power system operation are also analyzed. The above method provides a useful reference for coordinating the demand-side resources to improve the power system operation efficiency and enhance the acceptance of wind power capacity.