Effective Power Restoration in the National Grid, Using Interconnected System (Neural Network Intelligence): A Review of the Nigerian Grid System
Uchegbu Chinenye Eberechi,
Inyama Kelechi,
Kalu Peace Onyekachi
Issue:
Volume 12, Issue 3, May 2023
Pages:
40-50
Received:
15 March 2023
Accepted:
14 June 2023
Published:
27 June 2023
Abstract: Power demand is increasing with recent developments in technology to improve and facilitate the smooth running of daily lives around the country. In other to realize the purpose of basic and daily use of energy and safer environment; researchers and fields of specialists have actualized methods of maximizing the advantages provided through artificial Neural community Intelligence techniques. This article affords an outline of this network and its application in the strength sector, basically the Nigerian national Grid, studies progress of energy recuperation, such as power failure and load recovery. There may be a great job to obtain automatic restoration in huge effective electricity restoration. The studies makes a specialty of healing of electricity failure in Nigeria with the aid of the usage of artificial neural network. There are many reasons of energy failures in Nigeria power community. Nigerian 330kV network was modeled. The network was modeled in PSAT and the south eastern part was mapped out and modeled with electricity library in SIMULINK. The contemporary side of the network without fault prevalence was provided. The contemporary side for each region after switching of each of the place’s circuit breaker was received and applied in producing the ANN model. ANN model version was applied to the power device version in SIMULINK and used to predict the effect switching places or location of the circuit. A great result was achieved thereafter.
Abstract: Power demand is increasing with recent developments in technology to improve and facilitate the smooth running of daily lives around the country. In other to realize the purpose of basic and daily use of energy and safer environment; researchers and fields of specialists have actualized methods of maximizing the advantages provided through artifici...
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Structural Optimization of External Rotor Permanent Magnet Motor Based on Halbach Magnetization
Issue:
Volume 12, Issue 3, May 2023
Pages:
51-58
Received:
14 June 2023
Accepted:
29 June 2023
Published:
6 July 2023
Abstract: This paper takes an external rotor permanent magnet synchronous motor (ERPMM) as the research object, and analyzes the magnetic circuit structure and working principle of the motor. According to the design parameters and design structure of the motor, the motor is analyzed by combining the finite element method and the analytical method. In this paper, increasing the output torque of the motor and reducing the cogging torque are the optimization goals, and the design uses the Halbach magnetization structure as the main method to optimize the design of the motor to form an A-type Halbach magnetized external rotor permanent magnet motor (HERPMMA). On the basis of improving the magnetizing structure, the structure of the permanent magnet motor is parametrically analyzed and optimally designed to form a B-type Halbach magnetized external rotor permanent magnet motor (HERPMMB). In this way, the torque performance of the motor can be further improved on the basis of giving full play to the advantages of Halbach's magnetization structure. The operating performance of the three motors is compared and analyzed, and the optimization results are evaluated by integrating multiple optimization objectives. The results show that the output torque and permanent magnet utilization of HERPMMB increased by 42.88%, and the cogging torque of the motor decreased by 78.63% compared with ERPMM without changing the amount of permanent magnets.
Abstract: This paper takes an external rotor permanent magnet synchronous motor (ERPMM) as the research object, and analyzes the magnetic circuit structure and working principle of the motor. According to the design parameters and design structure of the motor, the motor is analyzed by combining the finite element method and the analytical method. In this pa...
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