Regional integrated energy system optimization scheduling method for fuel characteristics of plug-in hybrid electric vehicle

Abstract

The invention relates to a regional integrated energy system optimization scheduling method for fuel characteristics of a plug-in hybrid electric vehicle, which is characterized in that a main power system and a slave power system of a power system of the plug-in hybrid electric vehicle are considered at the same time, in the main power system, a battery pack stores electric energy under the action of a charging device, and in the slave power system, the main power system stores the electric energy; electric energy is transmitted to a motor to be utilized, and in the slave power system, an engine utilizes chemical energy of gasoline in an oil tank; the power consumption characteristics and the fuel oil characteristics of the two sets of power systems cooperate with each other, so that the driving rule of the vehicle is more flexibly changed, and the charging load of the vehicle is dispatched; fuel oil characteristics of the plug-in hybrid electric vehicle are considered in a regional integrated energy system, benefits and requirements of the integrated energy system and a new energy vehicle user are considered, the utilization rate of integrated energy and the consumption rate of renewable energy are improved, load fluctuation is reduced, and the power supply reliability of the system is enhanced.

Description

technical field [0001] The invention relates to the technical field of energy systems, in particular to a regional integrated energy system optimal scheduling method for fuel characteristics of a plug-in hybrid electric vehicle. Background technique [0002] The charging behavior of new energy vehicles is random in time and space, and a series of safety and reliability issues will be brought into the comprehensive energy system with the disorderly access of a large number of new energy vehicles, making full use of the demand response of new energy vehicles. Potential to become a new hot spot in the global automotive industry and energy field. Based on the traditional new energy vehicle demand response, those skilled in the art have conducted extensive research on this. In the current study, one proposes to gather large-scale electric vehicles together and perform cluster scheduling; the other is to consider the randomness of electric vehicle load and the volatility of wind ...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the deficiencies of the prior art, the present invention proposes a regional comprehensive energy system optimization scheduling method for the fuel characteristics of plug-in hybrid electric vehicles, which can fully consider the power system characteristics of plug-in hybrid electric vehicles and effectively improve demand response flexibility. improve the utilization rate of comprehensive energy; and can comprehensively consider power consumption characteristics and fuel characteristics, perform fuel response and charging response, enhance system power supply reliability, reduce load fluctuations, and increase the consumption rate of renewable energy

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