Abstract
Abstract With the trend of high proportion of renewable energy connecting with grid, peaking services has played a crucial role in the integration of wind power and other renewable energy sources. The current peaking service takes into account only the cost of thermal power units that providing peaking service without considering the impact of its own reliability on the peaking service and the safe operation of the power system. In this paper, the traditional uniform clearing mechanism has been improved, and the reliability factor of ancillary service provided by thermal power units has been included in the previous quotation-based sorting rule, and a multi-objective programming optimal purchasing model considering synergistic capacity cost and power system stability is established. According to the optimal solution of each objective, Pareto optimal solution of multi-objective programming problem is obtained by the ideal point method. Then the ancillary service price and purchase cost are obtained based on the solution.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Emerging Electric Power Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
