Distribution Robust Optimal Day-ahead Dispatch Method for Power Systems With Uncertain Wind Power Access Considering Deep Peak Regulation of Coal-fired Units and Energy Storage
With the continuous expansion of the scale and proportion of renewable energy installed capacity,the demand for flexible regulation capacity of the new power system in the future is gradually increasing.China still uses coal as the main energy source,and coal-fired units dominate the power structure.Under the condition of large-scale grid integration of renewable energy sources,coal-fired units are gradually transforming from the traditional basic security power to system regulation power,taking on more tasks such as system peak regulation and backup to promote the accommodation of renewable energy sources.Therefore,giving full play to the flexible regulation capability of coal-fired units is crucial for the secure,stable,and economical operation of the power system.This paper establishes a robust two-stage distribution optimization model of the power system considering the deep peak regulation characteristics of coal-fired units and energy storage based on the uncertainty of wind power.The first stage of the model considers the scheduling plan of the system under the basic scenario,including the start/stop of coal-fired units and the charging/discharging plan of energy storage.The second stage optimizes the cost expectation under the uncertain probability distribution when the decision of the first stage is known,to obtain the cost expectation under the worst scenario.The optimization model is iteratively solved using the inexact column-and-constraint generation(i-C&CG)algorithm.Finally,the modified IEEE-39 and IEEE-300 bus systems are used to validate the effectiveness of the proposed model on wind power accommodation and the acceleration effect of the i-C&CG algorithm on the model solution.
wind power accommodationdeep peak regulationdistribution robust optimizationinexact column-and-constraint generationoptimal dispatch
万方数据
维普
