An Operational Mechanism for Prosumers to Participate in Real-Time Demand Response

As the integrator of prosumers' resources, prosumer aggregator realizes its own economic optimization through multiple interactions with the interest demands of different prosumers at the lower level. In view of the above interaction process, an operational mechanism for prosumers to participat...

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Published in:2022 9th International Forum on Electrical Engineering and Automation (IFEEA) pp. 261 - 266
Main Authors: Tan, Zhukui, Liu, Bin, Wu, Yufeng, Zhang, Junwei, Tang, Saiqiu, Xu, Yutao
Format: Conference Proceeding
Language:English
Published: IEEE 04.11.2022
Subjects:
component
Electricity price demand response
Improved grey wolf optimization algorithm
Multi-Agent Stackelberg game
Prosumer Aggregator
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Abstract As the integrator of prosumers' resources, prosumer aggregator realizes its own economic optimization through multiple interactions with the interest demands of different prosumers at the lower level. In view of the above interaction process, an operational mechanism for prosumers to participate in real-time demand response is proposed based on the master-slave game, in which aggregators aim to maximize its economic benefits and prosumers aim to minimize the cost of electricity consumption. the upper aggregator optimizes the electricity price information according to the power demand / supply information reported by the lower level; The lower level prosumers adjust the internal resource operation plan according to the electricity price information released by the upper level, and modify the overall power demand / supply information. In addition, the improved grey wolf optimization algorithm based on a nonlinear adjustment of the convergence factor (IGWO-NL) is used to solve the Nash equilibrium of the game model. Simulation results show that the proposed model can effectively reduce the peak valley difference of the overall load while optimizing the economy of each subject.
AbstractList As the integrator of prosumers' resources, prosumer aggregator realizes its own economic optimization through multiple interactions with the interest demands of different prosumers at the lower level. In view of the above interaction process, an operational mechanism for prosumers to participate in real-time demand response is proposed based on the master-slave game, in which aggregators aim to maximize its economic benefits and prosumers aim to minimize the cost of electricity consumption. the upper aggregator optimizes the electricity price information according to the power demand / supply information reported by the lower level; The lower level prosumers adjust the internal resource operation plan according to the electricity price information released by the upper level, and modify the overall power demand / supply information. In addition, the improved grey wolf optimization algorithm based on a nonlinear adjustment of the convergence factor (IGWO-NL) is used to solve the Nash equilibrium of the game model. Simulation results show that the proposed model can effectively reduce the peak valley difference of the overall load while optimizing the economy of each subject.
Author Tan, Zhukui
Zhang, Junwei
Liu, Bin
Wu, Yufeng
Tang, Saiqiu
Xu, Yutao
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  fullname: Xu, Yutao
  email: 95616048@qq.com
  organization: Electric Power Research Institute,Guizhou Power Grid Co.,Ltd,Guizhou,China
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SubjectTerms component
Electricity price demand response
Improved grey wolf optimization algorithm
Multi-Agent Stackelberg game
Prosumer Aggregator
Title An Operational Mechanism for Prosumers to Participate in Real-Time Demand Response
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