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A statistical model-based capacity optimization configuration method for hybrid energy storage systems

A technology of hybrid energy storage system and capacity optimization configuration, applied in circuit devices, battery circuit devices, transportation and packaging, etc., can solve problems such as results that do not conform to reality

Inactive Publication Date: 2020-08-11
NORTHEAST DIANLI UNIVERSITY +2
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Problems solved by technology

At present, the research on hybrid energy storage devices is still in the preliminary stage, mainly focusing on the control strategy, and relatively little research on capacity allocation; in addition, most of the methods for capacity allocation of energy storage systems are based on deterministic analysis , which may lead to unrealistic results

Method used

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  • A statistical model-based capacity optimization configuration method for hybrid energy storage systems
  • A statistical model-based capacity optimization configuration method for hybrid energy storage systems
  • A statistical model-based capacity optimization configuration method for hybrid energy storage systems

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Embodiment

[0086] First, we use Weibull distribution and normal distribution to define wind speed and light intensity. The distribution intervals of Weibull distribution parameters k, c and normal distribution parameters μ, σ at a certain confidence level can be obtained through probability statistics analysis. see Figure 4 , is the statistical analysis result of wind speed and light intensity in a certain area in my country, their probability distributions are shown in 4a and 4c, and the distribution intervals of wind speed and light intensity are shown in Figure 4 b, 4d. Based on the typical historical data of the area, the wind speed and light intensity data are randomly generated by Monte Carlo simulation (MCS). For the 48h data of wind speed and light intensity corresponding to the 98% confidence level, as well as the temperature and load profiles, see Figure 5 .

[0087] The wind speed, temperature and light intensity data sampled every ten minutes are simulated, and the win...

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Abstract

The invention provides a hybrid energy storage system capacity optimization configuration method based on a statistical model and belongs to the technical field of energy storage. The invention provides the configuration method based on the statistical model so as to solve the problem of energy storage capacity configuration of a wind / photovoltaic / energy storage combined power generation system. The method comprises the following steps: to begin with, carrying out probabilistic statistical analysis on historical data of wind speed and illumination intensity and the like to determine accurate distribution of power output of a wind and photovoltaic system; then, exploring a capacity configuration sub-algorithm based on a super capacitor and a storage battery; besides, providing an energy control strategy to improve storage battery operation environment so as to prolong the service life of the storage battery; and carrying out Monte-Carlo simulation on the statistical analysis to obtain capacity probability distribution of the hybrid energy storage system. The statistical analysis method determines the capacity of the hybrid energy storage system under different cumulative probability levels, and helps planning personnel to carry out reasonable configuration on the capacity of the hybrid energy storage system according to running conditions and requirements of the power generation system; and compared with a conventional capacity configuration method, the statistical analysis method takes a lot of uncertainty factors in the configuration process into consideration, thereby improving conservation of a conventional deterministic algorithm and improving economy and reliability of the configuration method.

Description

technical field [0001] The invention relates to a statistical method for capacity optimization configuration of a hybrid energy storage system, and belongs to the technical fields of application of energy storage technology in wind power systems and energy storage capacity optimization. Background technique [0002] In recent years, distributed renewable energy sources such as wind energy and photovoltaic power generation have developed rapidly around the world. The main characteristic of wind energy photovoltaic power generation is its uncertainty, and the output power fluctuates randomly and in a large range, which is easy to cause impact on the power grid and affect the safe and stable power supply. Wind energy and solar energy resources are complementary to wind and solar power in terms of time. The wind and wind hybrid power generation system generally has the characteristics of wind and solar complementarity, but it cannot overcome the influence of instantaneous power ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/32H02J7/34
CPCH02J3/32H02J7/345H02J2203/20Y02E10/56
Inventor 王利猛刘久成祖光鑫李国庆徐冰亮李卫国王振浩于海洋武国良郑君张美伦
Owner NORTHEAST DIANLI UNIVERSITY
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