Wind storage system multi-objective optimization operation method considering wind power prediction and liquid air energy storage
A multi-objective optimization and liquid air technology, which is applied in the field of optimal operation of liquid air energy storage systems for wind power suppression, can solve problems such as dead zones, affecting the performance of energy storage systems to stabilize wind power fluctuations, and high energy storage status, and achieve enhanced cocoa controlling effect
Pending Publication Date: 2021-11-19
CENT SOUTH UNIV
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[0004] Although the current optimized operation strategy for the wind storage system can effectively alleviate the problem of violent fluctuations in wind power, the energy storage system may have problems with excessively high or low energy storage status resulting in dead zones, which will seriously affect the stability of the energy storage system for wind power. Fluctuating performance, the invention provides a method for adjusting constraint conditions according to the energy storage state of the liquid air energy storage system, which can effectively prevent the overcharge and overdischarge of the energy storage system
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[0041] The present invention will be further explained in detail below in conjunction with the accompanying drawings. It should be pointed out that the present invention is described in detail below only with preferred embodiments. , are all included in the scope of protection claimed by the technical solution of the present application.
[0042] In order to weaken the fluctuation of wind power, the present invention connects the liquid air energy storage system to the wind farm to form a combined wind storage system. In order to ensure the smooth performance of the wind-storage combined system power fluctuation, the present invention proposes a wind-storage combined system power fluctuation smoothing strategy considering the energy storage state of the liquid air energy storage system.
[0043]Next, the embodiments of the present invention will be described in detail, and the schematic diagrams of the embodiments will be shown in the accompanying drawings, wherein the same or...
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The invention provides a wind storage system multi-objective optimization operation method considering wind power prediction and liquid air energy storage. The method comprises the following steps: obtaining a wind storage system structure containing liquid air energy storage and wind power data of a wind power plant, and predicting the future wind power; and establishing an optimization model aiming at minimizing grid-connected power fluctuation, minimizing output of a liquid air energy storage system and optimizing the reserve state of liquid air energy storage. Constraint conditions consider the upper limit of energy storage power and energy release power of the liquid air energy storage system and the upper limit of energy storage capacity of the liquid air energy storage system, and the capacity of a liquid storage tank is used for representing the energy storage capacity; and programming solution is performed on the established optimization model by using MATLAB software. The wind storage system is managed through the multi-objective optimization operation method, and the working state of the liquid air energy storage system is effectively adjusted.
Description
Technical field: [0001] The invention relates to a wind power energy storage system, in particular to a method for optimizing the operation of a liquid air energy storage system for wind power wave suppression. Background technique: [0002] As today's environment is increasingly valued by governments and institutions, the development and utilization of renewable energy has become a hot spot for experts and scholars, and the development of renewable energy has even become a strategic choice for countries all over the world. As one of the representative renewable energy sources, wind energy has great development prospects due to its wide distribution, no pollution, and large energy. However, due to the intermittent characteristics of wind power, it will cause voltage fluctuations and harmonic pollution to the power grid. Energy storage is an important way to solve the problem of large-scale wind power grid integration. With the continuous increase of installed capacity, larg...
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IPC IPC(8): H02J3/38H02J3/28H02J15/00H02J3/24H02J3/00G06N3/02G06Q10/04G06Q50/06
CPCH02J3/38H02J3/28H02J15/006H02J3/24H02J3/004G06N3/02G06Q10/04G06Q50/06H02J2203/20H02J2300/28Y02E10/76Y02E70/30
Inventor 王春生王珠峰曹原
Owner CENT SOUTH UNIV