An optimal operation method for energy storage and peak-shaving power stations considering the life of lithium-ion batteries
A lithium-ion battery and peak-shaving power station technology, applied in circuit devices, energy storage, AC network circuits, etc., can solve the problems that electric vehicles cannot cope with diverse road conditions, and lithium-ion battery life models are difficult to embed in optimal operation decision-making models. , to achieve the effect of alleviating grid congestion and demand-side response, and promoting the consumption of renewable energy
Active Publication Date: 2021-12-14
江苏云上电力科技有限公司 +1
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Problems solved by technology
These energy storage power station optimization operation technologies mainly have the following shortcomings: (1) The end of life of grid-connected energy storage power stations is calculated using the scrapping standard of vehicle power batteries. The existing lithium-ion power battery scrapping standard is that the battery capacity drops to the rated capacity At this time, the power density and safety can no longer meet the requirements of electric vehicles to deal with diverse road conditions, but it is still suitable for grid-connected energy storage power stations that do not require high power density and are relatively friendly to the operating environment
Therefore, the original scrapping standards are not applicable, and it is necessary to explore the battery scrapping standards suitable for energy storage peak-shaving power stations; (2) The lithium-ion battery life model used is difficult to embed into the optimal operation decision-making model
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[0050]The present invention proposes an optimal operation method of an energy storage peak-shaving power station considering the life of a lithium-ion battery, which will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0051] The present invention proposes a method for optimizing the operation of an energy storage peak-shaving power station considering the life of a lithium-ion battery, comprising the following steps:
[0052] 1) According to the end of lithium-ion battery life, conduct experiments to obtain the original data of lithium-ion battery life; the specific steps are as follows
[0053] 1-1) According to the lithium-ion battery model of the energy storage peak-shaving power station, select the same type of lithium-ion battery; in the case of the same ambient temperature, charge-discharge rate, and charge-discharge time interval, use multiple sets of batteries (according to the accuracy requirements 20 gro...
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The invention relates to an optimal operation method of an energy storage peak-shaving power station considering the life of a lithium-ion battery, and relates to the fields of optimal operation of a power system and energy storage. This method first conducts experiments to obtain the original data of lithium-ion battery life according to the end of life of lithium-ion batteries; uses the data to establish a cycle life model of lithium-ion batteries; The optimal operation model of the peak-shaving power station is solved, and the optimal operation plan of the energy storage peak-shaving power station is obtained by solving the model. The invention takes into account the life and aging process of lithium-ion batteries, and proposes an optimized operation method suitable for energy storage peak-shaving power stations, so as to maximize the total peak-shaving capability within the life cycle of energy storage, and promote energy storage in peak-shaving and frequency modulation in power systems and the application of renewable energy consumption.
Description
technical field [0001] The invention relates to the fields of optimized operation and energy storage of power systems, in particular to an optimal operation method of an energy storage peak-shaving power station considering the life of a lithium-ion battery. Background technique [0002] With the large-scale access of wind power, photovoltaics and other renewable energy with strong randomness and volatility, the peak-to-valley difference between the net load of the grid will increase, and the volatility will increase, making it difficult to predict accurately. huge stress. As a clean, controllable, and fast-response flexible resource, energy storage power stations can stabilize renewable energy fluctuations, promote renewable energy consumption, reduce peak-to-valley differences, assist power grid peak regulation and frequency modulation, and alleviate Power grid transmission and distribution pressure and other multiple functions. Lithium-ion batteries with relatively low ...
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IPC IPC(8): H02J3/32
CPCH02J3/32H02J2203/20Y02E70/30
Inventor 侯庆春王毅张宁康重庆罗卓伟李明轩
Owner 江苏云上电力科技有限公司