Energy storage two-phase optimization method based on requirement management

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...

AI Technical Summary

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 it, focusing on energy storage battery research, energy storage participating in auxiliary services such as frequency regulation, peak shaving and valley filling, joint scheduling of wind and storage, and smoothing new energy fluctuations, etc., but most of them are aimed at For large-scale energy storage systems, there are few studies on the commercial application of user-side energy storage

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