A non-cooperative game theory-based time-of-use tariffs joint optimization mechanism considering synergy of multiple provincial power grids under regional coordinated development strategy

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135627 - 135627

Published: March 1, 2025

Language: Английский

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Vehicle–Grid Interaction Pricing Optimization Considering Travel Probability and Battery Degradation to Minimize Community Peak–Valley Load

Batteries, Journal Year: 2025, Volume and Issue: 11(2), P. 79 - 79

Published: Feb. 16, 2025

Vehicle-to-Grid (V2G) technology has been widely applied in recent years. Under the time-of-use pricing, users independently decide charging and discharging behavior to maximize economic benefits, during low-price periods, high-electricity avoiding battery degradation. However, such under inappropriate electricity prices can deviate from grid’s goal of minimizing peak–valley load difference. Based on basic data a community Beijing vehicle (EV) random travel obtained through Monte Carlo simulation, this study establishes user optimal decision model that is influenced by degradation costs considering depth discharge, rate, energy loss. A mixed-integer linear programming algorithm with objective cost EV constructed offer participation power V2G. By analyzing grid fluctuations different pricing strategies, derives formulation adjustment rules for achieve ideal stabilization. 30% V2G participation, relative fluctuation reduced 31.81% 5.19%. This addresses challenge obtaining guide participate minimize fluctuation.

Language: Английский

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Multi-Objective Optimization Scheduling for Electric Vehicle Charging and Discharging: Peak-Load Shifting Strategy Based on Monte Carlo Sampling

Designs, Journal Year: 2025, Volume and Issue: 9(2), P. 51 - 51

Published: April 17, 2025

The uncoordinated charging behaviors of electric vehicles (EVs) challenge the stable operation grid, e.g., increasing peak-to-valley ratio grid and diminishing power supply reliability. A Monte Carlo sampling method is employed to develop a behavior model for EVs solve problems raised by random charge mode. probability densities daily driving distance, initial time, power, duration are incorporated analyzed. proposed enables multiple sample values EVs, considering varying weather conditions time-of-use electricity prices. For discharge optimization, an EV scheduling constructed, aiming balance objective functions, including battery degradation costs, user load fluctuations, differences. weighting applied transform multi-objective framework into single-objective comprehensive solution, facilitating identification optimal strategies. Results demonstrate that can satisfactorily generate datasets with realistic characteristics on range initiation time EVs. Furthermore, results achieved through optimization strategy effectively mitigates disparities. peak reduction trough increment 27.6% 160.1%, respectively. Through post-peak balancing, average costs each reduced be 7.58 yuan 15.68 yuan, This approach significantly enhance stability, simultaneously address economic interests users, extend lifespan.

Language: Английский

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Pricing mechanism design for future EV charging station with hybrid fixed and mobile charging modes

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 125033 - 125033

Published: Dec. 6, 2024

Language: Английский

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