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Independent microgrid energy optimization control method based on bi-fuzzy control

A technology of fuzzy control and control method, applied in the energy industry, wind power generation, AC network circuits, etc., can solve problems such as less research, and achieve the effect of smoothing instantaneous power fluctuations

Active Publication Date: 2017-09-01
SHANGHAI JIAO TONG UNIV
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, for independent microgrids, there are many studies on energy optimization technology under the background of a single task. There are few studies, that is, how to coordinate and cooperate with power generation, energy storage and demand-side load under the background of two tasks, peak shaving and valley filling and power fluctuation suppression, which is more practical and important for the operation of independent microgrids

Method used

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  • Independent microgrid energy optimization control method based on bi-fuzzy control
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  • Independent microgrid energy optimization control method based on bi-fuzzy control

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Embodiment Construction

[0025] This embodiment includes the following steps:

[0026] Step 1) Carry out cost modeling for the energy storage unit and various loads, and set up the start-up and stop plan according to the peak and valley characteristics of the micro-grid. The overall operating cost of the microgrid is optimized to a minimum.

[0027] The models described include:

[0028] ①Operating costs of wind turbines Where: α is the compensation cost required to abandon 1MW power output, N x (t) is the number of fans removed at time t, N is the total number of fans, P wind (t) is the predicted value of active power output when all fans have the maximum power output, the unit is MW.

[0029] ②Operating cost of energy storage equipment in: For charging and discharging maintenance costs, is the life loss cost of the system, M bess For all energy storage devices in the microgrid, the binary parameter Defined as the working state of the energy storage device i in the period t, Defined a...

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Abstract

The invention provides an independent microgrid energy optimization control method based on bi-fuzzy control. The method is characterized by carrying out cost modeling on an energy storage unit and various loads, and for the microgrid peak end valley characteristics, making a day-ahead start and stop plan; then, carrying out optimal power allocation through a first layer of fuzzy control and through mutual cooperation of wind-stored energy and elastic load; and filtering a high-frequency component in fluctuating power through a low-pass filtering algorithm, and carrying out secondary power distribution through a second layer of fuzzy control, thereby ensuring real-time power balance of a microgrid, and reducing capacity of an energy storage device for stabilizing power fluctuation. The method can ensure power balance of the independent microgrid, realizes peak shaving and valley filling of the microgrid, realizes suppression of instantaneous power fluctuation, reflects effectiveness and correctness of energy control and realizes economic operation of the independent microgrid.

Description

technical field [0001] The present invention relates to a technology in the field of electric power system control, in particular to an independent microgrid energy optimization control method based on double fuzzy control. Background technique [0002] At present, many studies have been carried out on the economic operation of the microgrid in the independent mode, the control operation and optimal allocation strategy of power generation and energy storage. The current research mainly ensures the economical operation of the microgrid and reduces the energy storage capacity through power generation control and energy storage charge and discharge management. However, for independent microgrids, there are many studies on energy optimization technology under the background of a single task. There is less research, that is, how to coordinate and cooperate with power generation, energy storage and demand side load under the background of two tasks, peak shaving and valley fillin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/28H02J3/24
CPCH02J3/003H02J3/24H02J3/28H02J3/386H02J2203/20Y02E10/76Y02P80/14
Inventor 施金晓黄文焘邰能灵郑晓冬
Owner SHANGHAI JIAO TONG UNIV
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