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Virtual power plant optimization scheduling method containing storage batteries based on unified electricity market

A technology for virtual power plants and electricity markets, applied in the field of optimal scheduling of virtual power plants, it can solve problems such as battery capacity loss, battery capacity loss, and difficulty in recovery, and achieve the effect of increasing revenue and reducing battery life loss.

Inactive Publication Date: 2016-01-20
HUAZHONG UNIV OF SCI & TECH +3
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Problems solved by technology

However, during the use of the battery, the battery capacity will gradually lose and it is difficult to recover, and the service life is limited
The model only considers the charge of the battery, ignoring the analysis of the loss of battery capacity, and after deep discharge, if it is not recharged in time, the battery capacity will be lost and it will be difficult to recover

Method used

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  • Virtual power plant optimization scheduling method containing storage batteries based on unified electricity market
  • Virtual power plant optimization scheduling method containing storage batteries based on unified electricity market
  • Virtual power plant optimization scheduling method containing storage batteries based on unified electricity market

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0024] Such as figure 1 As shown, the optimal scheduling method for virtual power plants with storage batteries based on the unified power market in the embodiment of the present invention includes the following steps:

[0025] S1: Input forecasted load demand; real-time market electricity sales price, real-time market electricity purchase price, and day-ahead market electricity price; constrai...

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Abstract

The invention discloses a virtual power plant optimization scheduling method containing storage batteries based on a unified electricity market, and belongs to the field of energy optimization research of a power distribution network. In the prior art, electric energy transaction employs a separated transaction mode of a day-ahead market and a real-time market, the transaction model breaks the previous connection between the day-ahead market and the real-time market, and the optimal electric energy transaction scheme cannot be obtained. According to the optimization scheduling method, a virtual power plant optimization scheduling model based on the unified market is built, the storage batteries can be charged in time after deep discharge, and the operation loss of the storage batteries is reduced; besides, electric energy transaction is optimized in the unified electricity market, and the benefit of the virtual power plant is increased.

Description

technical field [0001] The invention belongs to the research field of distribution network energy optimization, and more specifically relates to a virtual power plant optimization scheduling method based on a unified power market and including storage batteries. Background technique [0002] A virtual power plant is an organic combination of distributed power generation (DG), controllable loads and storage batteries (ESS), and is a carrier for integrated regulation of various distributed resources through supporting regulation technology and communication technology, and is connected to the power grid at multiple points. The virtual power plant realizes the optimal distribution of energy and the maximization of the profit of the power supply subject through two forms of energy exchange with the grid and internal energy coordination flow. There have been some studies on the market quotation strategy of virtual power plants, mainly based on power prices, retail prices and load...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCY04S10/50
Inventor 白浩孙芊郭宝甫徐军周宁冯光王鹏程晓晓柳溪苗世洪
Owner HUAZHONG UNIV OF SCI & TECH
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