1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;2.College of Computer Science, Hunan University of Technology and Business, Changsha 410205, China

The integration of high-proportion renewable energy requires higher peak regulation capability of power systems. Improving the cost allocation mechanism of peak regulation auxiliary services is conducive to promoting renewable energy accommodation. In this paper, from the perspective of net load fluctuations, a quantification and allocation model for peak regulation costs is established. Alternative scenarios without peak regulation demand are constructed to convert the load and renewable energy output curves into mean curves without fluctuations, respectively. Then, a scheduling optimization model including deep peak regulation and pumped storage units is established to calculate the peak regulation cost in different scenarios, and the difference between the system peak regulation cost in the two scenarios with and without peak regulation demand is taken as the marginal peak regulation cost caused by a single entity. Then the Shapley value is used to calculate the peak regulation cost caused by different entities. Finally, the peak regulation cost is allocated according to the incurrence degree of costs. The calculation example shows that the proposed quantification model of peak regulation cost can reflect the peak regulation cost caused by different entities or their peak regulation contribution value, and the cost allocation mechanism can transmit the peak regulation cost information.