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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2022 9th International Forum on Electrical Engineering and Automation (IFEEA) S. 261 - 266
Hauptverfasser: Tan, Zhukui, Liu, Bin, Wu, Yufeng, Zhang, Junwei, Tang, Saiqiu, Xu, Yutao
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 04.11.2022
Schlagworte:
component
Electricity price demand response
Improved grey wolf optimization algorithm
Multi-Agent Stackelberg game
Prosumer Aggregator
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
DOI:10.1109/IFEEA57288.2022.10038110