Electric vehicle optimal scheduling method with consideration of power grid reserve capacity allocation and wind power utilization rate

A scheduling method and optimized scheduling technology, applied in the field of power systems, can solve problems in the initial stage

Active Publication Date: 2016-10-12
WUHAN UNIV
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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 optima

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  • Electric vehicle optimal scheduling method with consideration of power grid reserve capacity allocation and wind power utilization rate
  • Electric vehicle optimal scheduling method with consideration of power grid reserve capacity allocation and wind power utilization rate
  • Electric vehicle optimal scheduling method with consideration of power grid reserve capacity allocation and wind power utilization rate

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Embodiment

[0071] The present invention provides an optimized dispatching method for electric vehicles considering grid reserve capacity configuration and wind power utilization rate, which specifically includes:

[0072] 1. Scene generation and reduction.

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

[0074] 1.1. Scene generation.

[0075] According to the historical data of wind power output and the historical data of electric vehicle charge and discharge load, the autoregressive model method is used for modeling, and the order of the ARMA model is determined for each period of the study, and the corresponding model parameters are determined.

[0076] The mathe...

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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 optimization dispatching method considering grid reserve capacity configuration and wind power utilization rate. 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 the economic scale, the demand for traditional energy sources such as petroleum is increasing, and the carbon content emitted into the atmosphere is increasing, which makes the pressure on energy shortage and the deterioration of the ecological environment increasing. Wind power and electric vehicles have become effective ways to solve the problem of energy resource shortage and serious air pollution due to their advantages in energy saving and environmental protection...

Claims

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Application Information

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