Transient stability prevention and control method for power system embedded with deep belief network

A technology of deep belief network and transient stability, applied in the direction of single-network parallel feeding arrangement, reducing/preventing power oscillation, etc. Effect

Active Publication Date: 2020-04-21
SICHUAN UNIV
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Problems solved by technology

The traditional transient stability calculation usually adopts the method of time domain simulation plus appropriate criteria, which has the advantages of accurate calculation and high reliability, but the model contains nonlinear differential algebraic equations, the calculation is complicated, the calculation time is long, and it is difficult to meet the requirements of online calculation

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  • Transient stability prevention and control method for power system embedded with deep belief network
  • Transient stability prevention and control method for power system embedded with deep belief network
  • Transient stability prevention and control method for power system embedded with deep belief network

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Embodiment

[0062] refer to figure 1 , a power system transient stability preventive control method embedded in a deep belief network, including the following steps:

[0063] S1: Determine the generator active output fluctuation range and load fluctuation range, generate N generator active output samples, obtain a large amount of initial state data, perform time-domain simulation calculations on the initial state data, generate sample data, and execute S2;

[0064] S2: Establish a deep belief network, use sample data to train the deep belief network, fit the generator active output and system transient stability, generate a power system transient stability evaluator, and embed the power system transient stability evaluator into non-dominated In the sorting genetic algorithm NSGA-II, as a transient stability constraint, execute S3;

[0065] S3: Based on the transient stability constraints, add cost constraints, power flow constraints and stable operation constraints to the NSGA-II algorit...

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Abstract

The invention relates to the technical field of power system automation, and aims to provide a transient stability prevention and control method for a power system embedded with a deep belief network.The method comprises the following steps: S1, determining an active output fluctuation range and a load fluctuation range of a generator, generating N generator active output samples, obtaining a large amount of initial state data, and performing time domain simulation calculation on the initial state data to generate sample data; S2, establishing the deep belief network, training the deep beliefnetwork by using the sample data, and fitting the active power output of the generator and the transient stability of the system to generate a transient stability evaluator of the power system; S3, adding a cost constraint, a power flow constraint and a stable operation constraint to the NSGA-II algorithm based on a transient stability constraint condition, and building an NSGA-II evolutionary algorithm model; and S4, obtaining a generator output fluctuation range and a load fluctuation range of transient instability under a fault, performing iterative optimization on the NSGA-II evolutionaryalgorithm model and solving a prevention and control strategy.

Description

technical field [0001] The invention belongs to the technical field of power system automation, and in particular relates to a power system transient stability prevention and control method embedded in a deep belief network. Background technique [0002] With the increasing scale of the power system, the network structure is more complex, and the operating point of the system is getting closer to the stability limit, the requirements for the preventive control of the stability of the power system are getting higher and higher. Transient instability is often the main cause of large-scale accidents in power systems. Effective power system transient stability assessment and accident prevention measures are the key to solving this problem. The traditional transient stability calculation usually adopts the method of time domain simulation plus appropriate criteria, which has the advantages of accurate calculation and high reliability, but the model contains nonlinear differential...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/24H02J3/48H02J3/50
CPCH02J3/24H02J3/48H02J3/50
Inventor 刘友波苏童刘俊勇刘挺坚邱高
Owner SICHUAN UNIV
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