An optimal scheduling method for electric vehicles considering grid reserve capacity allocation and wind power utilization

A reserve capacity configuration, electric vehicle technology, applied in the field of power system, can solve problems such as in the initial stage

Active Publication Date: 2018-11-13
WUHAN UNIV
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  • Application Information

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Problems solved by technology

[0005] Considering that the interaction between electric vehicles and the power grid can be realized through V2G technology, this paper proposes an optimal scheduling method for electric vehicles to optimize the configuration of positive and negative reserve capacity of the power grid. still in its infancy

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  • An optimal scheduling method for electric vehicles considering grid reserve capacity allocation and wind power utilization
  • An optimal scheduling method for electric vehicles considering grid reserve capacity allocation and wind power utilization
  • An optimal scheduling method for electric vehicles considering grid reserve capacity allocation and wind power utilization

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Embodiment

[0071] The invention provides an electric vehicle optimal dispatching method considering the configuration of the reserve capacity of the power grid and the utilization rate of wind power, which specifically includes:

[0072] 1. Generation and reduction of scenes.

[0073] This paper uses the scenario method to describe the uncertainty of wind power generation and electric vehicle charging and discharging loads. First, the ARMA model is used to generate 1000 scene sets with 24 time periods, and then Kantorovich distance is used to cut the scene sets to obtain the available electric vehicle charging load. Scenarios of discharge load and wind power output.

[0074] 1.1. Generation of scenes.

[0075] According to the historical data of wind power output and electric vehicle charging and discharging load historical data, the autoregressive model method is used to model, and the order of the ARMA model is determined for each period of the study, and the corresponding model param...

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Abstract

The invention relates to an electric vehicle optimal scheduling method with consideration of power grid reserve capacity allocation and a wind power utilization rate. The method comprises the steps of (1) generating a plurality of scene sets comprising 24 hours based on an ARMA model, using a Kantorovich distance to reduce the scene set to obtain electric vehicle charging and discharging load under a typical scene and a sequence of wind power output, and (2) based on established electric vehicle optimal scheduling model and constraint conditions of optimizing power grid positive and negative standby configuration, considering an electric vehicle discharge characteristic, through a price incentive mechanism, scheduling electric vehicle charging and discharging time, allowing an electric vehicle to discharge in low power and abandon power in wind abandoning, the configuration of system positive and negative reserve, and improving wind power utilization rate. So, the power grid positive and negative reserve capacity configuration can be reduced, the temporary shortage of power supply is eliminated, the utilization of wind power is improved, and a decision support is provided for the economical and safe utilization of power grid reserve power and wind power to a maximum.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and relates to an electric vehicle optimal dispatching method considering the allocation of grid reserve capacity and the utilization rate of wind power. Background technique [0002] As the basic industry of the national economy, the energy industry is not only a necessary prerequisite for ensuring national strategic security, but also an important guarantee for achieving sustainable economic development. With the expansion of economic scale, the demand for traditional energy such as oil continues to increase, and more and more carbon content is emitted into the atmosphere, which makes the pressure of energy shortage and ecological environment deterioration increasing. Wind power and electric vehicles, with their advantages of energy saving and environmental protection, have become effective ways to solve the shortage of energy resources and serious air pollution. [0003] The el...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/28H02J3/38B60L11/18
CPCB60L53/63B60L53/64B60L55/00H02J3/28H02J3/386H02J2203/20Y02E10/76Y02E70/30Y02T10/70Y02T10/7072Y02T10/92Y02T90/12
Inventor 陈杰军杨军
Owner WUHAN UNIV
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