Abstract
To enhance the effectiveness of electricity time-of-use (TOU) pricing, the mechanism of customer TOU response, especially that of large customer, should be researched thoroughly. Therefore multi-agents simulation is introduced. In simulation research TOU price response is taken as a decentralized decision process of all related customers, while power supply corporation can dynamically adjust its policy according to customer response. The paper discusses in details with the design principle and framework of the simulation system. In the system customer agent is implemented as responsive agent with its response rules built on fuzzy logic, utility agent is implemented as learning agent with classifier learning algorithm as its learning rules, and environment management module manages the interaction among them. Then the simulation flow is given and finally a case study based on a real power supply corporation is given and simulation results reported
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.
