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Peak-valley price driven optimized dispatching method before energy storage peak shaving day

A technology for optimizing scheduling and peak-valley electricity prices, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as ignoring the economics of energy storage systems

Active Publication Date: 2019-08-27
NORTHEAST DIANLI UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in most dispatching methods, the goal is to minimize load fluctuations, maximize wind power acceptance, or prolong battery life, ignoring the impact of energy storage system economics on operation.

Method used

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  • Peak-valley price driven optimized dispatching method before energy storage peak shaving day

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Embodiment Construction

[0081] The following is a further description of a peak-valley electricity price-driven energy storage peak-shaving optimization scheduling method according to the present invention using the accompanying drawings and embodiments.

[0082] In the peak-valley electricity price-driven energy storage peak-shaving optimization scheduling method of the present invention, a lithium-ion energy storage battery is used for simulation calculation, and its specific parameters are shown in the following table:

[0083] Table 1 Lithium-ion battery parameter list

[0084]

[0085] In the embodiment of the present invention, the predicted load data of a certain provincial power grid will be used for calculation, the sampling interval is 1 hour, the sampling points T=24 per day, and the total number of days D=365.

[0086] The province's peak and valley electricity price periods are shown in the table below:

[0087] Table 2 Parameters of peak and valley electricity prices in a province ...

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Abstract

The invention relates to a peak-valley price driven optimized dispatching method before an energy storage peak shaving day. The method is characterized by comprising the steps of charge and dischargeinterval priority establishment, an optimized dispatching process before the energy storage peak shaving day, to-be-met constraint conditions in an operation process of an energy storage system, charge and discharge state constraint of the energy storage system, a power optimization method based on a particle swarm algorithm, and dispatching scheme evaluation indexes. According to the method, theenergy storage system is fully utilized, so that a peak clipping valley filling effect and the economy of the energy storage system are improved.

Description

technical field [0001] The invention relates to the technical field of energy storage peak shaving, and relates to a peak-valley electricity price-driven optimal scheduling method for energy storage peak shaving days before. Background technique [0002] The current conventional energy storage peak regulation scheduling method is generally the constant power method or the power difference method. However, although the calculation process of the constant power method is simple, when the actual load deviates from the predicted load, the constant power method often cannot deal with it well, resulting in poor peak-shaving and valley-filling effects. The improved power difference method can deal with the problem of actual load fluctuations well, but due to the different load characteristics in different periods, the power difference method often cannot give full play to the role of the energy storage system, resulting in reduced energy storage cuts. The peak filling effect and t...

Claims

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Application Information

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IPC IPC(8): H02J3/00G06Q10/06G06Q50/06
CPCH02J3/00H02J3/008G06Q10/06312G06Q50/06H02J2310/64H02J2203/20Y04S10/50Y02E40/70
Inventor 李军徽张嘉辉穆钢葛长兴燕博
Owner NORTHEAST DIANLI UNIVERSITY
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