Application of Intelligent Techniques in Power System Stability, Control and Protection
The central objective of this reprint is to present the vital factors associated with smart grid systems, reliability assessment, protection methodologies, and design advancements through recent research findings to utility engineers, engineering students, research scholars, and power managers. This...
Պահպանված է:
| Ձևաչափ: | Online |
|---|---|
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
|
| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20250220_9783725823260_219 |
| Ցուցիչներ: |
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
|
| _version_ | 1869531545200492544 |
|---|---|
| collection | Directory of Open Access Books |
| description | The central objective of this reprint is to present the vital factors associated with smart grid systems, reliability assessment, protection methodologies, and design advancements through recent research findings to utility engineers, engineering students, research scholars, and power managers. This reprint includes ten chapters, covering all the prime critical aspects of modern power systems like uncertainty in electricity pricing due to solar or wind systems, distribution system coordination, frequency control challenges due to RE, and artificial intelligence-based protection methodologies. In addition, it also covers the optimization issues and challenges of electric vehicles' integration in the modern grid network. |
| format | Online |
| id | doab-20.500.12854ir-152855 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1528552025-02-20T13:10:50Z Application of Intelligent Techniques in Power System Stability, Control and Protection Veerasamy, Veerapandiyan Singh, Shailendra Singh, Sunil Kumar shunt converter unified power quality conditioner total harmonic distortion artificial intelligence renewable energy system distribution automation reliability service restoration smart grid multi-agent system automatic load frequency control renewable energy resources hybrid sparrow search algorithm-grey wolf optimization hybrid power system stability wind power generation sudden load disturbance load frequency control BP neural network particle swarm optimization algorithm classify 15 kV HDPE insulator’s leakage current convolutional neural network gated recurrent unit deep learning machine hyperparameter optimization adaptive protection machine learning fault detection and classification inverter-based generators groups setting emergent control energy management systems distributed control systems response threshold model high impedance faults (HIFs) HIF models overhead distribution networks (ODN) lab experiment dual-layer decision optimization model cost optimization for coal power plants McCormick envelopes uncertainty risk measurement carbon capture electricity spot market bidding strategy wind and thermal power conditional value at risk optimal condition dynamic load renewable energy penetration reinforcement algorithm electric vehicle charging station thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology The central objective of this reprint is to present the vital factors associated with smart grid systems, reliability assessment, protection methodologies, and design advancements through recent research findings to utility engineers, engineering students, research scholars, and power managers. This reprint includes ten chapters, covering all the prime critical aspects of modern power systems like uncertainty in electricity pricing due to solar or wind systems, distribution system coordination, frequency control challenges due to RE, and artificial intelligence-based protection methodologies. In addition, it also covers the optimization issues and challenges of electric vehicles' integration in the modern grid network. 2025-02-20T13:10:47Z 2025-02-20T13:10:47Z 2024 book ONIX_20250220_9783725823260_219 9783725823260 9783725823253 https://directory.doabooks.org/handle/20.500.12854/152855 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10044 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2325-3 10.3390/books978-3-7258-2325-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725823260 9783725823253 228 Basel open access |
| spellingShingle | shunt converter unified power quality conditioner total harmonic distortion artificial intelligence renewable energy system distribution automation reliability service restoration smart grid multi-agent system automatic load frequency control renewable energy resources hybrid sparrow search algorithm-grey wolf optimization hybrid power system stability wind power generation sudden load disturbance load frequency control BP neural network particle swarm optimization algorithm classify 15 kV HDPE insulator’s leakage current convolutional neural network gated recurrent unit deep learning machine hyperparameter optimization adaptive protection machine learning fault detection and classification inverter-based generators groups setting emergent control energy management systems distributed control systems response threshold model high impedance faults (HIFs) HIF models overhead distribution networks (ODN) lab experiment dual-layer decision optimization model cost optimization for coal power plants McCormick envelopes uncertainty risk measurement carbon capture electricity spot market bidding strategy wind and thermal power conditional value at risk optimal condition dynamic load renewable energy penetration reinforcement algorithm electric vehicle charging station thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Application of Intelligent Techniques in Power System Stability, Control and Protection |
| title | Application of Intelligent Techniques in Power System Stability, Control and Protection |
| title_full | Application of Intelligent Techniques in Power System Stability, Control and Protection |
| title_fullStr | Application of Intelligent Techniques in Power System Stability, Control and Protection |
| title_full_unstemmed | Application of Intelligent Techniques in Power System Stability, Control and Protection |
| title_short | Application of Intelligent Techniques in Power System Stability, Control and Protection |
| title_sort | application of intelligent techniques in power system stability control and protection |
| topic | shunt converter unified power quality conditioner total harmonic distortion artificial intelligence renewable energy system distribution automation reliability service restoration smart grid multi-agent system automatic load frequency control renewable energy resources hybrid sparrow search algorithm-grey wolf optimization hybrid power system stability wind power generation sudden load disturbance load frequency control BP neural network particle swarm optimization algorithm classify 15 kV HDPE insulator’s leakage current convolutional neural network gated recurrent unit deep learning machine hyperparameter optimization adaptive protection machine learning fault detection and classification inverter-based generators groups setting emergent control energy management systems distributed control systems response threshold model high impedance faults (HIFs) HIF models overhead distribution networks (ODN) lab experiment dual-layer decision optimization model cost optimization for coal power plants McCormick envelopes uncertainty risk measurement carbon capture electricity spot market bidding strategy wind and thermal power conditional value at risk optimal condition dynamic load renewable energy penetration reinforcement algorithm electric vehicle charging station thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | shunt converter unified power quality conditioner total harmonic distortion artificial intelligence renewable energy system distribution automation reliability service restoration smart grid multi-agent system automatic load frequency control renewable energy resources hybrid sparrow search algorithm-grey wolf optimization hybrid power system stability wind power generation sudden load disturbance load frequency control BP neural network particle swarm optimization algorithm classify 15 kV HDPE insulator’s leakage current convolutional neural network gated recurrent unit deep learning machine hyperparameter optimization adaptive protection machine learning fault detection and classification inverter-based generators groups setting emergent control energy management systems distributed control systems response threshold model high impedance faults (HIFs) HIF models overhead distribution networks (ODN) lab experiment dual-layer decision optimization model cost optimization for coal power plants McCormick envelopes uncertainty risk measurement carbon capture electricity spot market bidding strategy wind and thermal power conditional value at risk optimal condition dynamic load renewable energy penetration reinforcement algorithm electric vehicle charging station thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725823260_219 |