Abstract
For gaining high proflts, power suppliers in oligopolistic electricity market have the motivation to exert market power by strategic bidding. As an important participant, the independent system operator can adopt regulation measures to keep the stability and fair competition of market. We present a new artiflcial elasticity regulation method and check the e‐ciency of the revised method in the following two cases: (1) Single learning model, (2) Multi-learning model. Case study shows the method can reduce the market price efiectively and restrain suppliers from obtaining excessive proflts.
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 callDisclaimer: 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.
