Multi-objective scheduling method for wind power-electric automobile-thermal power combined operation model

A combined technology of electric vehicles and thermal power, applied in the field of electric power systems, can solve the problems of not considering the impact research, not considering the effect of joint optimization scheduling, not considering the complementary coordination of wind power and electric vehicles, etc.

Active Publication Date: 2013-08-14
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The literature "Characteristics of Electric Vehicle Charging and Discharging and Its Impact on Power Distribution System" proposes V2G dispatching of electric vehicles and separately analyzes the impact of electric vehicles on feeder load, network loss and voltage offset after they are put into the system, but does not consider wind power and Complementary coordination of electric vehicles, that is, the role of electric vehicles in stabilizing wind power fluctuations and reducing wind curtailment, as well as optimal dispatch considering multiple objectives at the same time; the document "Stochastic Economic Dispatch Considering Uncertainty of Electric Vehicles and Wind Power Output" constructed The uncertain stochastic economic dispatch model of electric vehicles and wind turbines is

Method used

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  • Multi-objective scheduling method for wind power-electric automobile-thermal power combined operation model
  • Multi-objective scheduling method for wind power-electric automobile-thermal power combined operation model
  • Multi-objective scheduling method for wind power-electric automobile-thermal power combined operation model

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Embodiment 1

[0043]Embodiment 1: An implementation of the multi-objective scheduling method for the joint scheduling of wind power-electric vehicles-thermal power;

[0044] Such as figure 1 As shown, the method includes the following steps:

[0045] S1. Randomly generate multiple groups of 24-period wind speed values ​​through the Weibull distribution function;

[0046] It is characterized in that the Weibull distribution function adopted in the step S1 is:

[0047] F ( v ) = 1 - exp [ - ( v c ) k ]

[0048] Among them: k is the shape parameter; c is the scale parameter, reflecting the average wind speed of the wind farm;

[0049] The probability density function of wind speed v is:

[0050] f ( v ...

Embodiment 2

[0079] Embodiment 2: the comparison of several model equivalent load curves;

[0080] (1) First introduce the free charging model of electric vehicles:

[0081] Since electric vehicles are still in the stage of trial operation and promotion, a large number of electric vehicle daily mileage and other relevant reliable historical data are relatively scarce. Based on the family vehicle driving survey data of the U.S. Department of Transportation, using the maximum likelihood parameter estimation method, the cumulative distribution function of the daily driving mileage of the family car is fitted with the lognormal cumulative distribution function, and the daily driving mileage obeys the pairwise distribution function. The number of normal distribution, its probability density function is:

[0082] f d = 1 dσ 2 π exp ...

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Abstract

The invention provides a multi-objective scheduling method for a wind power-electric automobile-thermal power combined operation model, relating to the field of electrical power systems. The method comprises the steps: S1, a plurality of groups of 24-time-interval wind speed values are generated randomly through the Weibull distribution function; S2, 24-time-interval wind power output and an average value of daily output of the wind power are calculated; S3, an electric automobile is charged and discharged, the charging power and discharging power of the electric automobile are obtained, and the generated output of a thermal power generating unit is calculated; S4, the maximum value and the minimum value of two functions are calculated respectively; S5, fuzzy processing is carried out on the two functions so as to obtain the maximum desirability function; and S6, population evolution is carried out on the maximum desirability function so as to obtain the optimal output. Aiming at the random and indeterminate output of the wind power, the invention provides the method of using ordered charging and discharging of electric automobiles, namely an energy storage system, to stabilize the fluctuation of the wind power, and abandoned wind power is reduced. And meanwhile, the fluctuation of the wind power is reduced, so peak-load regulation and spinning reserve pressure of the thermal power generating unit is reduced, and economic benefits of a wind power-electric automobile-thermal power combined operation system are maximized.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a multi-objective dispatching method for a wind power-electric vehicle-thermal power joint operation model. Background technique [0002] In recent years, with global warming, energy problems have continued to worsen. With the rapid development of the global economy, the demand for fossil fuels in countries around the world is increasing. Wind energy for renewable energy. However, due to the uncertain fluctuation of wind energy in the time domain and the serious influence of the region, wind power grid connection will bring unnecessary spinning reserve and peak shaving pressure to the power grid. The literature "Research on Wind Power Output Characteristics" pointed out that from the curve shape of the maximum output and the general output day, it can be seen that the daily output of wind power has obvious peak-valley characteristics, and the wind power output is larger at night fro...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY04S10/545Y04S10/54Y02E40/76Y02E40/70Y04S10/50
Inventor 马瑞
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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