Collaborative Pricing Strategy of Distribution Network and Electric Vehicle Aggregator Based on Integral System

Yue Zhang

doi:10.62051/a1x8xf06

Authors

Yue Zhang

DOI:

https://doi.org/10.62051/a1x8xf06

Keywords:

electric vehicles, user willingness, master-slave game, reserve market.

Abstract

Scaled EVs as a new type of load have great potential to participate in the standby market. However, the uncertainty of EV users' participation in aggregator regulation affects the optimal strategy for aggregators to participate in the market. Aiming at the uncertainty of users' willingness and the conflict of interest between aggregators and the distribution network, this paper proposes an optimal scheduling strategy of master-slave game for EV aggregators to improve users' willingness with a point system. First, the second-order cone optimal current model of the distribution network is established, and then the distribution network node marginal tariff is obtained. Second, the aggregator revenue model with energy storage is established, and the price-guided demand response model is proposed, while the aggregator point system is established to guide the charging behavior of EV users, so that the cooperative operation optimization problem between the distribution grid and the aggregator can be solved, and the economic interests among EV users, EV aggregators and distribution grid operators can be effectively balanced.

Downloads

Download data is not yet available.

References

IEA: Clean Energy Growth Curbed the Increase of Global Carbon Emissions Last Year.

Research on Charge and Discharge Scheduling Strategy of Electric Vehicle from the Perspective of Multi-agent Game.

Research on Distributed Energy Storage Convergence Based on Master-slave Game.

Guiding Opinions of the National Development and Reform Commission and National Energy Administration on High-quality Development of Distribution Network under the New Situation.

Research on Pricing Strategy of the Electric Vehicle Load Aggregator.

General Model and Application of the Incentive Pricing for Multi-type Demand-side Resources of Load Aggregators.

Research on Load Aggregation Trading and Pricing Model of Electric Vehicles Considering Group Behavior.

V2G Optimization Strategy from the Perspective of Game between Supply and Demand.

Optimal Scheduling of Charge and Discharge of Large-scale Electric Vehicles Based on Multi-agent Two-layer Game under Power Demand Response Mechanism.

Multi-agent Game Win-win Method for Sharing Electric Vehicle Charging Piles.

Economic Optimization Model of Load Aggregator Based on Multi-agent Master-slave Game.

Pricing Strategy and Equilibrium Solution Method of Master-slave Game Between Multi-microgrid and Distribution Network Based on Fixed Point Mapping.

Research on Bi-level Optimization of Distribution Network and Multi-microgrid Based on Master-slave Game.

Coordinated Optimization of Distribution Network and Multi-integrated Energy Microgrid Based on Two-layer Game.

Optimal Scheduling of Low-carbon Regional Comprehensive Energy System Alliance-distribution Network Game Considering Flexible Resources and Multi-energy Sharing.

Pan Zhenning, Yu Tao, Wang Keying. Distributed Real-time Collaborative Optimization of Large-scale Electric Vehicles Considering the Interests of Multiple Stakeholders [J]. Journal of China Electrical Engineering.

Economic Dispatch Method of Embedded Network Loss Based on DistFlow Power Flow Model.

Li Haibin, Jing Wenying. The Position, Function, and Role of Contract Rules in Farmers’ Professional Cooperatives Impact [J]. Economic Issues, 2019 (9): 81-85.