Multi-objective Optimal Method Of Source-Load Interactive Peak Regulation Based On Participation Of Adjustable Loads

In recent years,the capacity of integrated wind power has been rising continuously.The stochastic volatility and reverse peak-valley regulation characteristics of wind power have brought tremendous pressure to the grid.The requirements of power grid for peak regulation could not be met only by the participation of regular power plants.It is a feasible way to solve the problem by reasonably utilizing the adjustable load on the demand side to form the peak regulation mode with source-load interaction.Therefore,it is of great practical significance to explore a multi-objective optimization method of source-load-interactive peak regulation based on adjustable load.First of all,the existing researches in peak regulation of power system integrated by large-scale wind power was reviewed.And the output characteristics of wind farms in the typical day was elaborated,showing the difficulty in peak regulation caused by wind characteristics.Then,based on the actual operating data and regulation curves of three types of adjustable loads which were energy-intensive loads,electric thermal boilers and electric vehicles,the great characteristics in peak regulation were demonstrated.The corresponding adjustment model was established.Based on the above model,a multi-objective optimization model for source-load interaction peak regulation was established,with the objective of minimizing system running cost and punishment of abandoned wind power.Based on elitism strategy,the improved genetic algorithm was proposed,which was conducive to the convergence and calculation speed of the model.Combining the optimization model and the corresponding solution,a multi-objective optimization method for source-load interaction peak regulation was formed.Finally,the numerical case based on IEEE 30 bus feeder was presented.The results of calculation and analysis verify the feasibility and effectiveness of the proposed method.