access icon free Coordinated optimal dispatch of multi-stakeholder game based on demand response for active distribution network

The realisation of large-scale utilisation of renewable energy and two-way interactive electricity consumption are the main goals of active distribution networks (ADNs). This study focuses on the spirit ‘open, equal, cooperate, and share’ the initiative distribution network and premises that users’ habits of energy use will not change, establishes the optimal dispatch model of the multi-stakeholder game. In order to effectively increase the enthusiasm and fairness of the participation of new stakeholders in the ADN to participate in grid coordination and optimisation, promote the consumption of renewable energy, the optimal relevance equilibrium strategy is found by using the multi-stakeholder equilibrium game with improved correlated equilibrium learning . The results of the example show that the multi-stakeholder game coordination optimisation dispatch strategy based on this study can guide users to participate in demand response, improve the load curve and the consumption of renewable energy, so as to the peak load shifting.

Inspec keywords: optimisation; power generation dispatch; power distribution economics; power grids; power generation economics; game theory; power consumption

Other keywords: ADN; multistakeholder game coordination optimisation dispatch strategy; improved correlation equilibrium learning; multistakeholder equilibrium game; load curve; demand response; grid coordination; peak load shifting; optimal dispatch model; large-scale renewable energy utilisation; optimal relevance equilibrium strategy; initiative distribution network; renewable energy consumption; two-way interactive electricity consumption; improved correlated equilibrium; coordinated optimal dispatch; active distribution network

Subjects: Game theory; Distribution networks; Power system management, operation and economics; Optimisation techniques

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2018.5589
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