Wind power energy storage system charging and discharging process optimization method based on variant artificial fish schools

A technology of charging and discharging process and energy storage system, which is applied in the field of charging and discharging process optimization of wind power energy storage system based on mutant artificial fish swarm, and can solve problems such as damage of energy storage battery system.

Pending Publication Date: 2021-12-10
SHENYANG INST OF ENG
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AI-Extracted Technical Summary

Problems solved by technology

[0005] Situation 2: When the wind speed is too high at a certain moment, causing the fan blades to rotate too fast, if the energy storage battery system is charged at this time, the energy storage ba...
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Abstract

The invention discloses a wind power energy storage system charging and discharging process optimization method based on a variant artificial fish school. The method comprises the following following steps: obtaining real-time operation state information of each storage battery pack according to a wind power energy storage system real-time monitoring device; according to the obtained state information, introducing a complex number, endowing artificial fish information, establishing an artificial fish school, and establishing a bulletin board; starting iteration when the artificial fish school varies; allowing the artificial fish schools to select corresponding behaviors based on self perception and environment feedback; recording the position of each artificial fish, and updating the bulletin board; allowing the system to perform discharging or energy charging according to whether the sum of the energy charging numbers of the detection points reaches the set highest food concentration or the set lowest food concentration; when the sum of the energy-full points of the system detection points is lower than the highest food concentration setting, recovering normal operation of the system again; and outputting a system operation result. The concept of variant fish is introduced, and the variant artificial fish swarm algorithm and fan energy storage system compensation are combined to optimize wind power.

Application Domain

Artificial lifeDesign optimisation/simulation

Technology Topic

BiologyEnvironmental geology +9

Image

  • Wind power energy storage system charging and discharging process optimization method based on variant artificial fish schools
  • Wind power energy storage system charging and discharging process optimization method based on variant artificial fish schools
  • Wind power energy storage system charging and discharging process optimization method based on variant artificial fish schools

Examples

  • Experimental program(1)

Example Embodiment

[0114] Example 1:
[0115] There is a wind farm project of 60MW, the local load level is about 40mW, and the inverter is 0.95, and the power curve in the 48-hour current is known. figure 2 As shown, the fan is 48 hours of power generation power curve such as image 3 Indicated. Combined with the relevant parameters of the battery, optimize the power effect of the target in this period of time. The energy storage system uses 50,000 components of the wind power storage system. The battery-related parameters: the rated voltage is 12V, the rated capacity is 100ah, the discharge depth is 0.7, the charging efficiency is 0.7, the discharge efficiency is 0.8.
[0116] At this time, if there is no compensation, the energy storage system compensation is Figure 4 As shown, the charging process and the discharge process have changed large, and the stability of the system is much more affected, so it is necessary to introduce the variant artificial fish group algorithm to optimize the charge and discharge process, and the compensation is as compensated. Figure 5 Indicated.
[0117] After optimizing the charging and discharge process of the variant artificial fish group, the power curve of the output to the load is formed after integrated the wind farm output power coupling. Image 6 Down, compared to figure 2 Direct output, its output power is small, the system is more stable, and the long-term good operation of the system can be promoted.

PUM

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Description & Claims & Application Information

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