Multi-agent self-adaptive drop consistency coordination control method and apparatus for direct current microgrid
A DC micro-grid and multi-agent technology, applied in the field of DC micro-grid, can solve the problems of DC bus voltage collapse, power distribution accuracy reduction, DC micro-grid system power distribution and voltage stability, etc., to improve The effect of voltage quality
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Embodiment 1
[0051] A DC microgrid multi-agent adaptive drooping consistency coordination control method, the control method comprising the following steps:
[0052] 101: Apply the obtained multi-agent consensus protocol to the multi-agent structure of the virtual navigator of the DC microgrid, and obtain a DC microgrid consensus protocol based on the neighbor set of the virtual navigator agent;
[0053] 102: Obtain the non-linear error consistency control protocol of the DC microgrid system through the DC microgrid consistency protocol based on the virtual navigator agent neighbor set;
[0054] 103: Control the DC microgrid system through the nonlinear consistency control protocol and proportional complex integral, obtain the virtual impedance of adaptive dynamic change, and control the output voltage of the DC-DC converter.
[0055] Wherein, before step 101, the control method also includes:
[0056] Construct the multi-agent structure of the DC micro-grid virtual navigator;
[0057] The...
Embodiment 2
[0062] The scheme in embodiment 1 is described in detail below in conjunction with specific calculation formulas, examples, and accompanying drawings, see the following description for details:
[0063] 201: Construct a multi-agent structure of a DC microgrid virtual navigator;
[0064] see figure 2 , according to the characteristics of each distributed power source in the DC microgrid, a virtual navigator multi-agent structure of the DC microgrid system is established: the rated expected value of the DC microgrid system is used as a virtual navigator agent; A DC distributed power source and its controller are used as a distributed power generation agent (DGAgent). Each DGAgent follows the state of the virtual navigator agent, and under the action of the consensus control protocol, through the interaction and information exchange between agents, the consensus is finally achieved.
[0065] 202: Obtain the multi-agent consensus protocol according to the multi-agent structure ...
Embodiment 3
[0098] Below in conjunction with specific examples, the scheme in embodiment 1, 2 is carried out feasibility verification, see the following description for details:
[0099] In order to verify the correctness and feasibility of this method, a DC microgrid simulation model is built on the Matlab / Simulink platform, and a comparative analysis is carried out under traditional control and this method.
[0100] see Figure 6 , this method establishes an independent DC micro-grid system in which three DC micro-sources operate in parallel, and takes the independent DC micro-grid system as a simulation system. In the simulation system, the structure of each DC-DC converter is the same, but its rated capacity is different. The rated capacity of DC micro-power DG1 is 3kW, the rated capacity of DC micro-power DG2 is 4kW, and the rated capacity of DC micro-power DG3 is 9kW; The reference value of the DC bus voltage in the simulation system is 560V, and the allowable voltage deviation is ...
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Abstract
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