An economic optimization method and system for energy storage cost and benefit

An economic optimization and energy storage technology, applied in the field of economic optimization methods and systems, can solve the problems of high cost of energy storage systems, inability to solve net income, unclear photovoltaic power generation income, etc., and achieve the effect of high optimization accuracy and easy realization.

Pending Publication Date: 2019-03-15
CHINA ELECTRIC POWER RES INST +1
View PDF1 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The cost of the energy storage system is high, and there are problems of unclear revenue in photovoltaic power generation. At the same time, uncertain factors such as the inherent intermittent and randomness of renewable energy and the life damage of the energy storage equipment during operation will affect the energy storage system. Influenced by income and expenditure, the current research is still unable to solve the balance between the total net income and the operation strategy of the energy storage device during the entire life cycle of the energy storage system, and cannot make full use of the energy storage system to make it Maximize the revenue of

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
  • An economic optimization method and system for energy storage cost and benefit
  • An economic optimization method and system for energy storage cost and benefit
  • An economic optimization method and system for energy storage cost and benefit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] The introduction of energy storage system can improve the dispatchability and utilization rate of photovoltaic power generation. In actual operation, for the same photovoltaic power plant, the larger the energy storage capacity, the shallower the discharge depth corresponding to the same discharge amount, which is more important for energy storage. The smaller the damage caused by the service life, the lower the operation and maintenance cost, but the investment and construction cost of energy storage will also increase; in addition, due to the increase in energy storage capacity, the light rejection rate of photovoltaic power generation systems will also decrease, and the spot The electricity sold in the market will also increase, which is conducive to improving the utilization rate of photovoltaics, thereby improving the economic benefits of photovoltaic farms. Therefore, under the same charging and discharging conditions, from the perspective of optimal economic cost,...

Embodiment 2

[0103] An economically optimized system for energy storage costs and benefits, such as image 3 As shown, including: a determination module and a calculation module;

[0104] Acquisition module: used to obtain energy storage investment cost and income information;

[0105] Calculation module: it is used to use the particle swarm algorithm to bring the obtained energy storage investment cost and income information into the pre-set optimization objective function and constraint conditions of the energy storage in the whole life cycle, and perform calculations to obtain the energy storage in the photovoltaic system. Optimum economic benefit in the whole life cycle of the application.

[0106] Specifically, in the determination module, based on the energy storage investment cost and income, the optimization objective function for determining the cost and income within the entire life cycle of energy storage includes:

[0107] Based on the energy storage investment cost and incom...

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 provides an economic optimization method of energy storage cost and benefit, which comprises the following steps: obtaining energy storage investment cost and benefit information; The obtained energy storage investment cost and income information are brought into the preset energy storage optimization objective function and constraint conditions in the whole life cycle by adopting particle swarm optimization algorithm, and the calculation is carried out to obtain the best economic benefit of the energy storage in the whole life cycle of the photovoltaic application; The optimization objective function and constraint conditions are constructed based on the cost and benefit of the energy storage investment. The technical proposal provided by the invention aims at maximizing thetotal net income in the whole life cycle of the energy storage system, analyzes the income and the expenditure of the energy storage system in the photovoltaic power grid, realizes the maximization of the whole life cycle economic benefit of the energy storage application in the photovoltaic power generation based on the investment cost and the income of the energy storage.

Description

technical field [0001] The invention relates to the technical field of power system automation, in particular to an economical optimization method and system for energy storage costs and benefits. Background technique [0002] As a renewable energy source, the large-scale development and utilization of solar energy has opened up new ways to deal with energy crisis and environmental pollution. However, due to the randomness, intermittentness and unpredictability of photovoltaics, its output is difficult to maintain stability. The configuration of energy storage systems can effectively suppress the output power of photovoltaics, thereby improving the dispatchability of photovoltaics; but the current energy storage The initial investment is large, and it is difficult to recover the cost and obtain considerable profits in a short period of time. Therefore, it is of practical significance to consider the income and cost of the energy storage system during the entire life cycle fr...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50Y02E40/70
Inventor 薛金花杨波史如新王德顺叶季蕾冯鑫振杜建陶琼吴福保余涛张炜赵上林俞斌姬联涛孙博
Owner CHINA ELECTRIC POWER RES INST
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