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Interconnected micro-grid composite frequency control method and device based on adaptive learning

A self-adaptive learning and composite frequency technology, applied in the field of interconnected microgrids, can solve problems such as efficient integration of new energy equipment and dynamic frequency response capability to be improved.

Active Publication Date: 2022-03-15
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the interconnected microgrid system, the dynamic frequency response capability still needs to be improved, and the efficient integration of new energy equipment needs to be solved urgently

Method used

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  • Interconnected micro-grid composite frequency control method and device based on adaptive learning
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  • Interconnected micro-grid composite frequency control method and device based on adaptive learning

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Experimental program
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Embodiment 1

[0032] The embodiment of the present invention discloses an interconnected microgrid system that considers conventional generators (microturbines), electric vehicles, wind power generation, and smart loads. Based on PID control methods and reinforcement learning techniques, a composite grid system based on adaptive learning is proposed. For frequency control methods, see figure 1 , the method includes the following steps:

[0033] 101: Establish a frequency control model of an interconnected microgrid including electric vehicles and wind power;

[0034] Among them, the microgrid considered in the embodiments of the present invention mainly includes: micro turbines, wind turbines, governors, electric vehicles and other equipment. For each regional microgrid, the measurement obtains the turbine time constant T it , governor time constant T ig , power system time constant T ip , EV aggregator time constant T ie , power system gain K ip and speed regulation coefficient K if...

Embodiment 2

[0044] The scheme in embodiment 1 is further introduced below in conjunction with specific calculation formulas and examples, see the following description for details:

[0045] 201: Establish a frequency control model of an interconnected microgrid including electric vehicles and wind power;

[0046] Among them, an exemplary implementation scenario of the composite frequency control method disclosed in the embodiment of the present invention is as follows figure 2 As shown, each regional microgrid is mainly composed of frequency controller 21 , governor 22 , microturbine 23 , electric vehicle 24 , wind turbine 25 and other equipment.

[0047] In a practicable manner, the linearization model can be used to analyze the dynamic characteristics of each device deviating from the rated operating point, so the embodiment of the present invention uses a transfer function to describe each device, and then obtains a frequency control model of the interconnected microgrid. Such as f...

Embodiment 3

[0084] Below in conjunction with concrete experimental data, example, the scheme in embodiment 1 and 2 is carried out feasibility verification, see the following description for details:

[0085] based on figure 2 Validation simulations are performed on the frequency control model shown in , to illustrate how the proposed composite frequency control method can be implemented in a dual-zone microgrid system. It is worth emphasizing that both electric vehicles and wind turbines provide active power to compensate for power generation, so in the embodiment, the impact of wind energy and electric vehicles is considered as a positive power disturbance while the load demand is considered as a negative power disturbance.

[0086] According to step 201, for two regional microgrids, the microturbine time constant T 1t =0.3, T 1t =0.4, governor time constant T 1g =0.1, T 2g =0.15, power system time constant T 1p =10,T 2p =8, time constant T of EV aggregator 1e =1, T 2e =1, power...

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Abstract

The invention discloses a composite frequency control method and device based on adaptive learning. The method comprises the following steps: establishing an interconnected micro-grid frequency control model comprising an electric vehicle and wind power; state collection is completed according to the interconnected micro-grid frequency control model, a reward signal is calculated, a network updating rule is designed, and an intelligent control strategy based on adaptive reinforcement learning is obtained; a network updating rule is obtained based on a reinforcement learning process and a gradient descent method, a current strategy is evaluated through an evaluation network, an approximate value of a cost function is given, and a behavior network gives a new auxiliary control strategy according to the approximate value and a current state; the frequency controller is composed of a PID main controller and an auxiliary controller, and the auxiliary controller is composed of an evaluation network and a behavior network and executes a reinforcement learning process; and carrying out amplitude limiting operation on the new auxiliary control strategy and adding the amplitude limiting operation with the main control strategy of the PID controller to realize compound control on the frequency of the micro-grid. The device comprises a processor and a memory. According to the invention, the dynamic frequency response capability of the interconnected micro-grid system is improved.

Description

technical field [0001] The invention relates to the field of interconnected microgrids, in particular to a method and device for controlling the compound frequency of interconnected microgrids based on self-adaptive learning. Background technique [0002] Microgrid refers to a small system composed of distributed power supply, energy storage device and electric load, which is a typical representative of modern power system. In a power system, where there are usually different generating units and electrical loads, frequency deviation is a direct consequence of the power mismatch between the electrical loads and the mechanical power provided by the generator. Therefore, frequency deviation has become a useful indicator for evaluating power system stability and power quality. Active power and frequency control is called load frequency control (LFC, load frequency control). [0003] With the addition of renewable energy sources, frequency control in microgrids becomes more cha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/24H02J3/32H02J3/48
CPCH02J3/241H02J3/322H02J3/48H02J2203/20Y02E10/76Y02E70/30
Inventor 穆朝絮王珂刘朝阳孙长银
Owner TIANJIN UNIV