Method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration

A technology of demand response and capacity allocation, applied in photovoltaic power generation, circuit devices, electrical components, etc., can solve problems such as lack of research

Active Publication Date: 2016-08-10
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] With the increasing development of user-side photovoltaic microgrids and the gradual maturity of the power market, it is particularly important to consider the impact of specific demand response methods (such as peak and valley time-of-use electricity prices) on energy dispatch and energy storage capacity allocation in photovoltaic microgrids. However, through the analysis of existing microgrid energy storage optimization configuration and demand response research, it is found that research in this area is still relatively scarce.

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  • Method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration
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  • Method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration

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[0066] Below in conjunction with accompanying drawing and example, the present invention will be further described.

[0067] figure 1 Be the flowchart of the inventive method, its basic steps are:

[0068] Step 1: Based on the balance relationship between power supply and power elastic demand, the electricity price elasticity matrix under the peak-valley time-of-use electricity price is derived, figure 2 For the power-price relationship curve, a user multi-period demand response model is established; the power-price elasticity matrix is ​​expressed as:

[0069] M = m f f m f p m f g ...

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Abstract

The invention belongs to the technical field of microgrid optimization operation and discloses a method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration. The method includes constructing a user multi-period electricity price response model based on price elasticity matrix of demand, providing an energy storage charge and discharge strategy and a photovoltaic microgrid optimization operation strategy under time-of-use electricity price, and conducting optimized configuration of photovoltaic microgrid energy storage capacity by using a modified non-dominated sorting genetic algorithm (NSGA-II) according to system scheduling and constraint conditions with the maximal photovoltaic absorption and maximal net profit as two goals. The influence of load optimization caused by user side participating demand responses on photovoltaic microgrid energy storage capacity configuration under power market environment is taken into consideration, rationality of photovoltaic microgrid energy storage investment is achieved while satisfying the requirement of a system.

Description

technical field [0001] The invention belongs to the technical field of optimized operation of micro-grids, and in particular relates to a photovoltaic micro-grid energy storage multi-objective capacity configuration method considering demand response. Background technique [0002] In recent years, with the increase of the government's subsidy policy for the photovoltaic industry and the significant decline in the price of photovoltaic modules, the photovoltaic industry has developed rapidly. Photovoltaic microgrid is a small-capacity decentralized functional system that effectively integrates advanced power electronics technology, distributed photovoltaic power generation technology, energy storage technology, and monitoring and protection technology; the most effective way. Photovoltaic microgrid is a small-capacity decentralized functional system that effectively integrates advanced power electronics technology, distributed photovoltaic power generation technology, energy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/32H02J3/38
CPCH02J3/00H02J3/003H02J3/32H02J3/383H02J2203/20Y02E10/56Y02E70/30
Inventor 周楠樊玮刘念郭斌张建华
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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