Microgrid multi-objective optimization scheduling method considering electric vehicle random access

A multi-objective optimization and electric vehicle technology, applied in the field of micro-grid optimal scheduling, can solve the problems of not taking into account the impact of distributed power pollutants on the environment, unfavorable electric vehicle grid stability, and unfavorable problems

Inactive Publication Date: 2018-02-16
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] In the existing optimal dispatching methods considering the connection of electric vehicles to microgrids, only the single goal of minimizing operating costs is often considered, and the impact of pollutants generated by distributed power sources and main grid power generation on the environment is...

Method used

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  • Microgrid multi-objective optimization scheduling method considering electric vehicle random access
  • Microgrid multi-objective optimization scheduling method considering electric vehicle random access
  • Microgrid multi-objective optimization scheduling method considering electric vehicle random access

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Embodiment Construction

[0085] In this embodiment, a charging and discharging scheduling method for electric vehicles connected to a microgrid, such as figure 1 shown, including the following steps:

[0086] Step 1. Determine the system structure of the microgrid and the power generation characteristics of different distributed power sources in the microgrid and the random charging characteristics of electric vehicles;

[0087] The types of distributed power sources included in the microgrid include: wind power generation unit WT, photovoltaic power generation unit PV, diesel generator DE and micro gas turbine MT;

[0088] The characteristics of each distributed power supply include:

[0089] The output power P of the wind power unit WT WT , and obtained by formula (1)

[0090]

[0091] In formula (1), P r is the rated output power of the wind power unit WT; V ci , V r , V co Respectively represent the cut-in wind speed, rated wind speed and cut-out wind speed of the wind power unit WT; ...

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Abstract

The invention discloses a microgrid multi-objective optimization scheduling method considering electric vehicle random access. Microgrid operation cost minimization, pollutant treatment cost minimization and load variance minimization serve as three objective functions of a multi-objective scheduling model, and the randomness of accessing a microgrid by an electric vehicle is simulated through a Monte-Carlo simulation method; and when various constraint conditions are met, the model is solved by adopting a multi-objective particle swarm algorithm, and output power of each distributed power supply, total charge-discharge power of the electric vehicle and interactive power of the microgrid and a main power grid in each time period of a scheduling cycle are determined. According to the method, the randomness of accessing the microgrid by the electric vehicle is fully considered, and a battery of the electric vehicle serves as a mobile distributed energy storage apparatus to access the microgrid, so that the peak-load shifting effect is achieved, the economy and stability of microgrid operation in a time-of-use power price environment are improved, and the pollutant discharge of a microgrid system is reduced.

Description

technical field [0001] The invention relates to the field of optimal dispatching of micro-grids, in particular to a multi-objective optimal dispatching method of micro-grids considering the random access of electric vehicles. Background technique [0002] Microgrid refers to a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, loads, monitoring and protection devices, etc., which can be connected to the large power grid or run in isolation. component. Optimal dispatching of the microgrid is of great significance to promote the efficient operation of the microgrid. It refers to rationally and effectively arranging the output of each distributed power supply according to a certain control strategy under the premise of meeting the load demand of the microgrid system. And the interactive power with the distribution network to achieve different scheduling objectives. Scheduling objectives incl...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 周开乐陆信辉杨善林李兰兰
Owner HEFEI UNIV OF TECH
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