Multi-level energy storage optimal configuration method and device based on user demand response
A technology for user needs and optimized configuration, applied in data processing applications, market forecasts, marketing, etc., can solve the problems of reduced benefits of using time-of-use electricity prices, unreasonable peak-valley electricity prices and peak-valley time settings, and low user participation. To achieve the effect of promoting the stability of the power system, promoting rapid development and application, and improving economy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0111] This embodiment provides a multi-level energy storage optimization configuration method based on user requirements.
[0112] refer to figure 1 with figure 2 , a multi-level energy storage optimization configuration method based on user needs proposed by the present invention, including the following content:
[0113] 1) Build a two-tier optimized configuration model structure
[0114] ①According to the historical user load value and historical photovoltaic output value, the negative interactive power curve between the historical user and the upper-level power grid is obtained, and it is sent to the upper-level optimization model.
[0115] Among them, the historical user load curve and historical photovoltaic curve are investigated according to typical enterprises in the region, and the user load and photovoltaic output value in the four seasons of spring, summer, autumn and winter, and the four weathers of sunny, rainy and cloudy are respectively counted. Taking a ci...
Embodiment 2
[0207] A multi-level energy storage double-layer optimal configuration method based on user demand response, comprising the following steps
[0208] (1) Aiming at the optimal annual comprehensive cost of the distribution network, consider linear DistFlow constraints, substation power second-order cone constraints, line power constraints, centralized energy storage constraints, user demand response constraints, etc., to construct an upper-level optimization model.
[0209](2) With the goal of optimizing the user's annual comprehensive cost, considering power balance constraints, distributed energy storage constraints, photovoltaic output constraints, and photovoltaic consumption constraints, a lower-level optimal configuration model is constructed.
[0210] (3) The upper model is based on historical load data, historical photovoltaic data, combined with the electricity demand elasticity matrix, and based on the previous electricity price, it is optimized in units of hours. The e...
Embodiment 3
[0289] This embodiment provides a multi-level energy storage optimization configuration device based on user demand response, characterized in that the device includes:
[0290] Model building module: build a multi-level energy storage double-layer optimal configuration model; the multi-level energy storage double-layer optimal configuration model aims at the optimal economic efficiency of the active distribution network and users, including the upper-level optimization model on the distribution network side and the lower layer optimization model on the user side;
[0291] Information Acquisition Module: Obtain historical user and upper-level power grid exchange power values, historical photovoltaic output values, and urban distribution network network structure;
[0292] Upper-level optimization module: Input the historical users’ exchanged power value with the upper-level power grid, historical photovoltaic output value and urban distribution network network structure into t...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More