Resident load online modeling method and system based on counterbalance grey wolf algorithm
A modeling method and integrated load model technology, applied in the field of residential load online modeling method and system, can solve the problems of increased difficulty of load model, complex model structure, etc., and achieve the effect of simple and accurate online modeling
Pending Publication Date: 2022-01-11
YUNNAN POWER GRID
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Since the dynamic model is added to the static model structure, the model has more parameters and the model structure is more complex. In order to better describe the load characteristics, the load model is usually calculated according to the active power, reactive power or voltage curves of the load nodes. All parameters are identified, and during parameter identification, the power at all times is often collected for optimal fitting, which greatly increases the difficulty of establishing a load model
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[0080] In order to facilitate the implementation of the technical solution of the application, some concepts involved in the application are firstly described below.
[0081] see figure 1 , is a schematic flow chart of an online resident load modeling method based on the check and balance gray wolf algorithm provided in the embodiment of the present application. The online resident load modeling method based on the check and balance gray wolf algorithm includes steps 1 to 6.
[0082] Step 1: Collect the information of the electrical equipment at the residential user end in real time, and transmit the information of the electrical equipment to the load modeling master station of the substation.
[0083] see figure 2 , which is a schematic diagram of the Internet of Things power information collection provided in the embodiment of the present application. First, the smart home terminal module is used to detect the information of the electrical equipment. The communication tec...
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The invention belongs to the technical field of power system simulation, and provides a resident load online modeling method and system based on a counterbalance grey wolf algorithm, and the method comprises the steps: employing a comprehensive load model structure of a dynamic load model in parallel connection with a static load model, obtaining static load parameters and a motor load proportion in a comprehensive load model structure by utilizing electric equipment information, and establishing an optimization objective function by utilizing load characteristic data of a disturbed moment point based on the disturbed moment point of a power grid; and performing online identification on dynamic parameters in the comprehensive load model structure by applying a grey wolf algorithm based on counterbalance and embedded variation factors to obtain a resident load model. According to the resident load online modeling method based on the counterbalance grey wolf algorithm, online modeling can be performed on the resident load more simply, conveniently and accurately.
Description
technical field [0001] This application relates to the technical field of power system simulation, in particular to an online modeling method and system for residents' load based on the check and balance gray wolf algorithm. Background technique [0002] As a basic component of the power grid, the power system load plays an important role in the operation, dispatch, planning and regulation of the power system. In the actual application process, the use of inappropriate load models may lead to voltage stability and frequency stability problems in the power grid , reduce the reliability of power supply to users. Therefore, the use of an appropriate load model is the basis for power system stability calculation and operation analysis. An appropriate load model can form a good echo with other simulation model blocks, and jointly promote the rapid development and social progress. [0003] Due to the variety of loads in the power grid, and the load has the characteristics of chan...
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IPC IPC(8): G06F30/27G06N3/00G06Q50/06H02J3/00
CPCG06F30/27G06N3/006G06Q50/06H02J3/00H02J2203/20
Inventor 司大军徐衍会李玲芳薛元亮孙鹏彭威铭陈姝敏游广增陈义宣高杉雪何烨
Owner YUNNAN POWER GRID