A Brief Survey on the Development of Intelligent Dispatcher Training Simulators
The well-known dispatcher training simulator (DTS), as a good tool to train power system dispatchers, has been widely used for over 40 years. However, with the high-speed development of the smart grid, the traditional DTSs have struggled to meet the power industry’s expectations. To enhance the effe...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/2/706 |
| _version_ | 1797443296092487680 |
|---|---|
| author | Ao Dong Xinyi Lai Chunlong Lin Changnian Lin Wei Jin Fushuan Wen |
| author_facet | Ao Dong Xinyi Lai Chunlong Lin Changnian Lin Wei Jin Fushuan Wen |
| author_sort | Ao Dong |
| collection | DOAJ |
| description | The well-known dispatcher training simulator (DTS), as a good tool to train power system dispatchers, has been widely used for over 40 years. However, with the high-speed development of the smart grid, the traditional DTSs have struggled to meet the power industry’s expectations. To enhance the effectiveness of dispatcher training, technical innovations in DTSs are becoming more and more demanding. Meanwhile, the ever-advancing artificial intelligence (AI) technology provides the basis for the design of intelligent DTSs. This paper systematically reviews the traditional DTS in terms of its origin, structure, and functions, as well as limitations in the context of the smart grid. Then, this paper summarizes the AI techniques commonly used in the field of power systems, such as expert systems, artificial neural networks, and the fuzzy set theory, and employs them to develop intelligent DTSs. Regarding a less studied aspect of DTSs, i.e., intelligent training control, we introduce the Adaptive Learning System (ALS) to develop a personalized training program, which will also be an important aspect of future research. |
| first_indexed | 2024-03-09T12:53:55Z |
| format | Article |
| id | doaj.art-72af82c08d1b44bf8f459c17fe911473 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T12:53:55Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-72af82c08d1b44bf8f459c17fe9114732023-11-30T22:02:53ZengMDPI AGEnergies1996-10732023-01-0116270610.3390/en16020706A Brief Survey on the Development of Intelligent Dispatcher Training SimulatorsAo Dong0Xinyi Lai1Chunlong Lin2Changnian Lin3Wei Jin4Fushuan Wen5School of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaSchool of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaBeijing Kedong Electric Control System Co., Ltd., Haidian District, Beijing 100192, ChinaBeijing Kedong Electric Control System Co., Ltd., Haidian District, Beijing 100192, ChinaBeijing Kedong Electric Control System Co., Ltd., Haidian District, Beijing 100192, ChinaSchool of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaThe well-known dispatcher training simulator (DTS), as a good tool to train power system dispatchers, has been widely used for over 40 years. However, with the high-speed development of the smart grid, the traditional DTSs have struggled to meet the power industry’s expectations. To enhance the effectiveness of dispatcher training, technical innovations in DTSs are becoming more and more demanding. Meanwhile, the ever-advancing artificial intelligence (AI) technology provides the basis for the design of intelligent DTSs. This paper systematically reviews the traditional DTS in terms of its origin, structure, and functions, as well as limitations in the context of the smart grid. Then, this paper summarizes the AI techniques commonly used in the field of power systems, such as expert systems, artificial neural networks, and the fuzzy set theory, and employs them to develop intelligent DTSs. Regarding a less studied aspect of DTSs, i.e., intelligent training control, we introduce the Adaptive Learning System (ALS) to develop a personalized training program, which will also be an important aspect of future research.https://www.mdpi.com/1996-1073/16/2/706dispatcher training simulator (DTS)dynamic simulationintelligent trainingartificial intelligenceadaptive learningFelder-Silverman index |
| spellingShingle | Ao Dong Xinyi Lai Chunlong Lin Changnian Lin Wei Jin Fushuan Wen A Brief Survey on the Development of Intelligent Dispatcher Training Simulators Energies dispatcher training simulator (DTS) dynamic simulation intelligent training artificial intelligence adaptive learning Felder-Silverman index |
| title | A Brief Survey on the Development of Intelligent Dispatcher Training Simulators |
| title_full | A Brief Survey on the Development of Intelligent Dispatcher Training Simulators |
| title_fullStr | A Brief Survey on the Development of Intelligent Dispatcher Training Simulators |
| title_full_unstemmed | A Brief Survey on the Development of Intelligent Dispatcher Training Simulators |
| title_short | A Brief Survey on the Development of Intelligent Dispatcher Training Simulators |
| title_sort | brief survey on the development of intelligent dispatcher training simulators |
| topic | dispatcher training simulator (DTS) dynamic simulation intelligent training artificial intelligence adaptive learning Felder-Silverman index |
| url | https://www.mdpi.com/1996-1073/16/2/706 |
| work_keys_str_mv | AT aodong abriefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT xinyilai abriefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT chunlonglin abriefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT changnianlin abriefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT weijin abriefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT fushuanwen abriefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT aodong briefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT xinyilai briefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT chunlonglin briefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT changnianlin briefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT weijin briefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators AT fushuanwen briefsurveyonthedevelopmentofintelligentdispatchertrainingsimulators |