Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode

A distributed photovoltaic and energy storage scheduling technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the problems that cannot take into account the operating benefits of distributed photovoltaic distribution networks, the optimal solution is not unique, etc., to achieve optimal photovoltaic The effect of absorption rate

Active Publication Date: 2017-01-04
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when the penetration rate of distributed photovoltaics is low, the optimal solution obtained by the traditional consumption model that only aims at the

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode
  • Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode
  • Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0068] Example 1: The situation where photovoltaic accounts for a relatively low proportion. The total capacity of the distributed photovoltaic cluster is 250MW, and the penetration rate is 20%. The reserve capacity takes 10% of the load and 20% of the photovoltaic plan, and does not consider issues such as unit maintenance and sudden errors. The PV forecast curve PV and load forecast curve PL in the system are as figure 2 Shown

[0069] Using the energy storage scheduling mode of the present invention to solve the problem, it is possible to obtain the result that 100% photovoltaic consumption can be achieved in this calculation example, so the optimization target in the solution method is automatically adjusted to the comprehensive economy, that is, the secondary target. In the case of not using energy storage, the comprehensive cost of the full dispatch cycle is 106858.7 yuan, and the photovoltaic on-site consumption rate is 100%; when energy storage is added, the comprehensi...

Example Embodiment

[0071] Example 2: Same as Example 1, only proportionally changing the total installed capacity of photovoltaics and increasing it to 875MW. At this time, the penetration rate is 70%. This data means that there is a clear replacement effect for other power generation units when photovoltaic output peaks. . The PV forecast curve PV and the load forecast curve PL in the system under high penetration rate are like Figure 4 Shown.

[0072] In the case of not using energy storage, the photovoltaic consumption rate is 98.17%, and the comprehensive cost is 65177.83 yuan; in the case of using energy storage, the photovoltaic consumption rate is increased to 100%, and the comprehensive cost is 63831.52 yuan. It can be seen that the reasonable dispatch of energy storage has achieved an increase in the on-site photovoltaic consumption rate, and fully utilized the parts that were otherwise difficult to absorb. The photovoltaic consumption rate has increased by 1.83%, and the on-site full con...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a distributed photovoltaic two-stage multi-target local consumption method based on an energy storage scheduling mode, and the method comprises the steps: taking an energy storage scheduling strategy as a main control variable, cooperating with unit output, taking the maximization of distributed photovoltaic consumption rate as the priority target, taking the minimization of system operation cost as the secondary target, and taking the necessary constraints into consideration for modeling, such as energy storage operation constraint conditions and so on; solving an optimization problem formed by a priority target function and constraint conditions: taking an optimal solution as the solved distributed photovoltaic local consumption scheme if there is only one optimal solution, or else, taking all local consumption schemes as an optimizing range during the optimal solutions if there are many optimal solutions, building an optimization model which consists of the secondary target function and the constraint conditions, and solving and obtaining a needed photovoltaic cluster local consumption scheme. The method can give better consideration to a target that the system operation cost is the minimum while optimizing the photovoltaic consumption rate.

Description

technical field [0001] The invention relates to an economical operation and scheduling simulation method of a power system. In particular, it involves a distributed photovoltaic two-stage multi-objective local consumption method based on the energy storage dispatch mode. Background technique [0002] In March 2015, the "Notice of the National Energy Administration on Issuing the Implementation Plan for Photovoltaic Power Generation Construction in 2015" was issued, requiring the construction scale of new photovoltaic power plants to reach 17.8GW throughout the year, and giving priority to the construction of access distribution networks below 35kV and below 20MW distributed photovoltaic power station project. According to the distribution characteristics of China's wind energy resources, the future development of China's wind power will show a large-scale and highly concentrated development trend. With the increase of the access capacity of distributed photovoltaic power g...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 李鹏华浩瑞韩鹏飞徐绍军孙健王存平常乾坤
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap