Energy storage two-phase optimization method based on requirement management

An optimization method and energy storage technology, applied in technical management, data processing applications, instruments, etc., can solve problems such as hindering the application process of energy storage, less research on commercial application of energy storage, and difficulty in achieving profitability goals.

Inactive Publication Date: 2018-08-31
SOUTHEAST UNIV
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Problems solved by technology

However, the cost of energy storage is high nowadays. If users only rely on peak-valley difference arbitrage and government subsidies, the recovery period of funds will be long, and it is difficult to achieve the profit target. These hinder the commercial application of energy storage on the user side
[0003] At present, scholars at home and abroad have done a lot of theoretical research on...

Method used

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  • Energy storage two-phase optimization method based on requirement management
  • Energy storage two-phase optimization method based on requirement management
  • Energy storage two-phase optimization method based on requirement management

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Embodiment Construction

[0105] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. The embodiments described in the present invention are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, other embodiments obtained by persons of ordinary skill in the art without making creative efforts all fall within the protection scope of the present invention.

[0106] Such as figure 1 A two-stage energy storage optimization method based on demand management is shown, and the specific steps are as follows:

[0107] S1: For large industrial users who intend to install energy storage, analyze the load characteristics by reading in historical data;

[0108] S2: Build an energy storage evaluation model before the month based on the demand billing rules;

[0109] S3: Use the Cplex solver to optimize and calculate the demand value declared before the month and the configu...

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Abstract

The invention discloses an energy storage two-phase optimization method based on requirement management; the method comprises the following steps: reading user history data; building a month-ahead energy storage assessment model; using a Cplex solver to obtain a month-ahead report requirement value and a configured energy storage capacity via the built month-ahead energy storage assessment model;building a day-ahead energy storage assessment model; using the Cplex solver to calculate the energy storage charging/discharging power in the ith day via the built day-ahead energy storage assessmentmodel; determining whether i is greater than 31 or not; if i<=31, continuously calculating the energy storage charging/discharging power in the ith day; if i>31, determining whether energy storage adding is proper or not; if not, quitting the energy storage adding process; if yes, outputting a scheduling order and ending the process. The method has the optimal economic performance, determines theenergy storage installation capacity for users with energy storage adding intentions, and optimizes energy storage charge and discharge strategies.

Description

technical field [0001] The invention belongs to the field of user-side energy storage, in particular to a two-stage optimization method for energy storage based on demand management. Background technique [0002] In June 2016, the National Energy Administration issued a notice, deciding to launch a pilot program of energy storage to participate in the compensation mechanism for electric power auxiliary services in the "Three North" region. The coordinated and optimized operation of the system encourages the construction of distributed electric energy storage facilities on the client side. However, with the advancement of my country's power system reform, there are potential profit opportunities in the user-side energy storage market, and profit channels and economic benefits are the key to its commercial application. However, the cost of energy storage is relatively high nowadays. If users only rely on peak-to-valley difference arbitrage and government subsidies, the capita...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCY02P90/82G06Q10/0631G06Q10/04G06Q50/06
Inventor 陈丽娟吴甜恬
Owner SOUTHEAST UNIV
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