Artificial Intelligence Techniques in Power Systems Operations and Analysis

An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.

Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.

Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.

Highlights include:

• Power quality enhancement by PV-UPQC for non-linear load
• Energy management of a nanogrid through flair of deep learning from IoT environments
• Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis
• AC power optimization techniques
• Artificial intelligence and machine learning techniques in power systems automation

電力系統由許多發電、傳輸和配電子系統組成。它是一個非常龐大且複雜的系統，因此其安裝和管理是非常困難的任務。電力系統本質上是一個非常大的網絡，具有非常大的數據集。處理這些數據集可能需要很長時間進行分析，然後進行實施。如果操作和控制不當，電力系統是必要的，但也有潛在的危險。對電力的需求不斷增加，因此在不超載系統的情況下維持負載需求帶來了挑戰和困難。

因此，規劃、安裝、運營和控制這樣一個大型系統需要新技術。基於人工智能（AI）的應用具有許多關鍵功能，可以支持電力系統並處理整個電力系統的運營。基於AI的應用可以管理與電力系統相關的大型數據集。它們還可以幫助設計發電廠、模擬安裝佈局、優化負載調度並快速響應控制裝置。這些應用及其技術在電力系統工程的許多領域取得了成功。

《電力系統運營和分析中的人工智能技術》專注於電力系統中出現的各種挑戰以及AI技術如何幫助克服這些挑戰。它檢視了電力系統分析的重要領域以及實施基於AI的分析技術。該書幫助學者和研究人員了解如何使用AI進行更高效的運營。解釋了多種AI技術及其應用。還包括相關的數據集和案例研究。

亮點包括：
- 通過PV-UPQC提高非線性負載的電力質量
- 通過從物聯網環境中深度學習的靈活性來管理納米電網的能源管理
- 人工智能和機器學習在具有故障檢測和診斷功能的電力系統中的作用
- 交流電功率優化技術
- 人工智能和機器學習技術在電力系統自動化中的應用

Dr. Nagendra Singh is an associate professor in the department of Electrical Engineering at Trinity College of Engineering and Technology, Karimanagar, India.

Dr. Sitendra Tamrakar is an associate professor in the department of computer science and engineering at Nalla Malla Reddy Engineering College, Hyderabad, India.

Arvind Mewara has worked as associate professor in the department of Computer Engineering at Technocrats Institute of Technology, Bhopal, India. Presently he is a full time Ph.D. scholar at Motilal Nehru National Institute of Technology, Allahabad, India.

Dr. Sanjeev Kumar Gupta is a professor and dean at the Rabindranath Tagore University, Bhopal.

Dr. Nagendra Singh 是印度卡里曼加爾 Trinity 工程與技術學院電機工程系的副教授。

Dr. Sitendra Tamrakar 是印度海得拉巴 Nalla Malla Reddy 工程學院計算機科學與工程系的副教授。

Arvind Mewara 曾在印度博帕爾 Technocrats 技術學院計算機工程系擔任副教授。目前他是印度阿拉哈巴德 Motilal Nehru 國家技術學院的全職博士研究生。

Dr. Sanjeev Kumar Gupta 是印度博帕爾 Rabindranath Tagore 大學的教授和院長。