Renewable Power for Sustainable Growth

Inhaltsverzeichnis

1. Frontmatter

2. A Detailed Study for Power System Analysis in Transmission Substation (220/66 kV) Using ETAP

   Aditya Mohan Vashistha, Neelam Kassarwani, Neelu Nagpal, Neelam Sharma

   Abstract

   Through the Electrical Transient Analyzer Program (ETAP) software, an in-depth load flow analysis of an operational substation belonging to Delhi Transco Ltd. has been conducted. Initially, a simulation model of this specific transmission 220/66 kV substation has been designed, in which each component is configured based on real-world data. Several simulation scenarios including short circuits, and transient conditions have been considered by replicating real power system operating conditions. A load flow analysis has been performed with the values of suitable parameters thoroughly observed and recorded. The assessment of the model is carried out by comparing simulation outcomes with actual substation data. Furthermore, for a comprehensive examination, frequency and harmonic analyses at different bus points have also been performed. Inference of the system behavior is drawn from simulation results. Finally, conclusions are drawn and prospects for further work are discussed.

3. Recent Trends and Developments in Context of Fog Computing (FC)

   Arun Kumar Pipersenia, Ananta Ojha, Ankita Agarwal, Rekha Dhivrani

   Abstract

   The Internet of Things (IoT) has facilitated extensive connectivity between widespread devices, leading to the development of large and diverse amounts of data, commonly referred to as data explosions. Cloud computing (CC) effectively handles the processing and storage of data, but it still faces issues including meeting real-time application requirements and dealing with limited network capacity. By extending cloud services to the network’s perimeter, fog computing (FC) introduces a novel concept. It results in improved mobility, security, and latency when computing, communication, and storage are set up in closer proximity to end-users. The present article presents the sequential paradigm of fog computing as an efficient alternative way to the computing paradigms of the cloud and perimeter. A thorough assessment of fundamental technologies ranging from computers, communication, and archiving is contained in this work. In addition, the paper proposes tangible examples that demonstrate the pragmatic application of these technologies underneath the industry arenas of automotive fog computing, augmented reality, and healthcare. By examining the intricacies of security and privacy, this work extends important conclusions that should inform future investigations pertaining to the on-going development of fog computing.

4. Addressing Feasible Research Directions and Testing Aspects for Cloud-Based Systems: A Review for Energy Saving Aspect

   Ravindra Kumar, Sri Prakash Pandey, Feon Jaison, Intekhab Alam, Asyraf Afthanorhan

   Abstract

   Cloud computing is a new way of accessing and using computing resources. It allows users to access and configure these resources without the usual difficulties of managing them easily and conveniently. The use of this approach goes against standard software licensing rules. Because of the increasing acceptance of services that are cloud-based, thorough testing needs to be done before consumer shipment. Reduced expenses, much greater flexibility, better collaboration, higher output, and—above all—a less time-to-market for key business software are merely some of the advantages of cloud-based testing. This chapter’s initial goals is to calculate the cost of cloud computing testing, clarify testing concepts, clarify between traditional and cloud testing techniques, and look at the various frameworks and models that are currently now accessible for cloud-based testing. This statement explores testing methods with Cloud settings, points out the benefit of creating automated test cases and provides options for those looking into the topic, giving useful knowledge about its development.

5. Technological Advancements and Trends of Collaborative Robots (Cobots) in the Field of Manufacturing: A Summary

   Sandeep Kumar Jain, Himansh Kumar, S. Adlin Jebakumari, Intekhab Alam, Asif Balti

   Abstract

   As the name implies, Collaborative robots are machines that operate alongside humans in a specific workspace. Unlike regular robots, these engage in close human interaction rather than being housed in enclosed safety zones. Even if this is the case, suitable precautions are taken to ensure human safety when developing these robots. These robots are accustomed to changing with the times and receiving regular updates. They have the flexibility to complete difficult jobs. These qualities make them a valuable asset in the industrial industry. Cobots have been a part of the industry for several years now. Thus, this is the ideal moment to examine the different production uses of cobots. The paper begins with a brief introduction and a detailed literature review that was organized after examining 70 research papers and articles that came after the introduction. It draws a few crucial conclusions at the end. This paper explores the benefits and various uses of cobots in the industrial industry. It also emphasizes the future of cobots and how advantageous they will be in a technologically advanced environment.

6. Internet of Things for Energy Saving: Present State of the Art, Applications, Protocols and Enabling Technologies

   Trapty Agarwal, Gaurav Jha, Mohd. Saleem, Ramkumar Krishnamoorthy, Nuzhat Fatema

   Abstract

   The Internet of Things (IoT) is a collection of technological advancements that enable communication between the physical and the digital. It is crucial to understand what it is, its uses, rules, traditions, difficulties, and enabling advancements since it will have a significant impact on the globe. This study sheds light mostly on aforementioned IoT components in order to achieve this goal. IoT has several enabling advancements that may result in new implementations and strategies. As IoT may break down any wall across actual tangible and digital objects, there could be significant changes in how technology is used. Smart cities, building automation, smart transportation systems, and ongoing unemployment security are a few examples of IoT use cases. It develops fundamental leadership models continuously. This article provides an overview of IoT, including its architecture, component elements, metrics, problems or challenges, implementations, and rules. It includes IoT-compatible communication developments as well as differentiating proof techniques like radio frequency identification (RFID) and near field communication (NFC). Consideration is given to the relationship between IoT and other advancements like parallelization and analysis methods. Unique norms and technologies focused on management are also discussed.

7. Blockchain Technology Employment Opportunity for Energy Management: A Critical Review

   Megha Pandeya, Khushboo Sharma, Aishwary Awasthi, Feon Jaison, Mashhood Hasan

   Abstract

   Military operations supported by networks generate, transmit, collect, and analyse mission-critical data to give commanders at all levels superior decision-making capabilities to accomplish the goals. On the battlefield, a range of heterogeneous factors, including people and equipment, produce this data. In such a setting, it is crucial to guarantee the data’s high level of integrity, secrecy, and accessibility as well as its endurance in hostile situations. This paper is a definitive discourse on the applicability of blockchain technology to achieve authenticity and traceability of data to support military activities that are dependent on networked systems to facilitate the resiliency of the networks. It addresses principles of blockchain as well as their different variations. Besides, the article applies the Network-Enabled Model in Military Operations to model the situations in which network-enabled military endeavors are executed. Three case studies that are pertinent to the current situation have been used to assess the workable framework and architecture for integrating Block-chain technology to meet security needs.

8. Blockchain Implementation in Smart Grids

   Chetan Chaudhary, Manish Srivastava, Monika Abrol, Manju Bargavi, Mohammad Junaid Khan

   Abstract

   A surge in interest in blockchain technology in recent years has resulted in the creation of several applications based on the platform that use its fault tolerance, decentralization, transparency, and high security. However, there are issues with the block-chain technology itself, such as sluggish processing times and insufficient privacy protection. Therefore, in order to maximise the advantages of block-chain and minimise its disadvantages, it is imperative to do research on how to more effectively integrate block-chain with smart grids. This article investigates novel methods for integrating the developing block-chain technology along with smart grids. This study aims to address the need for integrating block-chain into various smart grid components, highlight the frameworks and methodologies used to do so, and highlight the issues with current solutions. We also provide in-depth comparative studies of block-chain-based solutions for smart grids from multiple aspects in order to shed light on how to connect block-chain and smart grids to perform various management tasks. Last but not least, we give a rundown of the on-going initiatives and projects that serve as examples of the present practice-side endeavour.

9. Blockchain Technology in the Energy Sector: A Brief Technical Review

   Ankita Agarwal, Satendra Singh, Rajesh Gupta, Ramkumar Krishnamoorthy, Mohammad Junaid Khan

   Abstract

   Many people from academia, governments, financial institutions, and energy sector have become very interested in distributed ledger technology, also referred to as blockchain technology. Many experts in various fields agree that it is capable of providing major benefits and encouraging creative ideas. The use of trustworthy, tamper-proof, and secure systems by blockchain, and integrated with smart contracts, makes it possible to develop modern business structures. First, this article explains the core elements of blockchain, such as its system structure and types of agreement, and then goes on to cover uses of blockchain in the energy area. We thoroughly analyze both the existing literature and real-world commercial applications to provide an accurate depiction of the current status of progress in this field. To our knowledge, this is one of the first scholarly books that thoroughly examine blockchain initiatives and their impact on the energy industry. This report examines over 140 blockchain research projects and uses their data to assess the potential and feasibility of blockchain in the energy industry. Additionally, the study offers a roadmap for start-up enterprises in this field. The study's conclusion discusses the challenges and market limitations that the technology must overcome to cope with the hype stage, show that it is commercially viable, and finally win over the general public.

10. An Overview of Challenges of Implementation of Blockchain Technology in Various Applications of Energy Domain

    M. S. Nidhya, Chetan Chaudhary, Kunal Sharma, Ratish Sharma, Noor Aina Amirah

    Abstract

    Blockchain uses distributed technology to save and deal with data at different locations. Due to the data set’s easy accessibility for all users, it delivers a transparent and safe system thanks to its distributed structure. Bitcoin blockchain-based apps have gained popularity because to its reliability, toughness, and efficiency. As a result, the blockchain is made accessible to huge populations. The blockchain has a variety of downsides that vary depending on the application, despite being the technology of the future. This study evaluated the effectiveness of several block chains in various applications. This system’s benefits and drawbacks, which are compared carefully, are described as the “future technology.”

11. High-Performance Incipient Fault Classification of Transformer with Modified Optimized Artificial Data Integration

    Atul Jaysing Patil, Ram Naresh, R. K. Jarial, Hasmat Malik, Megharani Atul Patil, Arush Singh, Kiran Kumar

    Abstract

    The incipient faults classification of transformers is crucial for preventing failures and ensuring reliable operation. This paper presents a machine learning (ML) model designed for transformer fault identification, integrating modified artificial data with a novel 4GM graphical algorithm. The study trains the KNN model on a 4GM-based dataset of 1022 transformers specifically for fault identification. The model’s performance is validated using the IEC TC 10 database, demonstrating effective accuracy in fault classification. Additionally, a modified Artificial Data Generation (ADG) technique is introduced to enhance the dataset, addressing data imbalances and improving model robustness. Initial integration of the ADG technique led to reduced accuracy, necessitating further adjustments. Through iterative modifications, the combination of the 4GM algorithm and the enhanced ADG technique resulted in improved accuracy and robustness. This research will help many researchers in this fields for further improvement of ML performance when data imbalance, low database problem occurred.

12. A Summary of Recent Trends and Developments in Agricultural Sector Using Blockchain Technology: Exploring Affordable and Clean Energy

    Garima Goswami, Jayashree M. Kudari, Awakash Mishra, Manish Vishnoi, Syed Hamid Hussain Madni

    Abstract

    Blockchain technology is becoming increasingly important in agricultural applications, as it addresses several requirements such as improving transparency in food safety, implementing quality control based on the IoT, ensuring traceability of origin, and optimising contract exchanges. Ensuring an ideal balance between efficiency and integrity is critical in the intricate farm-to-fork pipeline that involves untrusted entities such as small-scale farmers, processors, logistics firms, and retailers. The study discusses the potential for blockchain in agriculture and looks closely at the important parts of its design, such as data organization, encryption methods, and various innovative solutions. Current agricultural Blockchain applications are classified and evaluated see, and it shows real use. The text reveals the widespread use of platforms and smart contracts, and demonstrates their application in agricultural development. The report discusses key barriers and examines current efforts and possible solutions. The enhanced post-COVID food supply chain is a prime example of how blockchain technology is significantly improving transparency and efficiency in agriculture.

13. Utilizing Centrifugal Shift to Recognize Electric Failures in Stimulating Engines

    Rishi Sikka, K. Suneetha, Ankita Agarwal, Ajay Kumar, Md Fahim Ansari

    Abstract

    The paper discusses the potential of detecting mechanical defects in inductive loads using a longitudinal current. Details for a malfunctioning rotor rat cage but a stator coil relatively brief are presented in the paper. The study of ailments derived from the Fourier Transform Fast of a voltage caused by an axial flux in a measuring coil is the foundation for identifying and diagnosing faults. Leveraging Solid works software, research investigation on a modest power inductor was carried out.

14. Role of Quantum Computation (QC) in Addressing Computational Challenges of Electrical Systems: A Review

    Satish Kumar Jangid, Shubhendra Pratap Singh, Haripriya, Kalyan Acharjya, Suhail Husain

    Abstract

    The basics of quantum computation (QC) originate in quantum mechanics (QM), which helps develop unusual methods for working on difficult computing problems. The potential of quantum computing in physics and computer science is clear, but its prospective role in the energy sector is half-explored and not well-studied yet. It is the main goal of this study to see if quantum computing can address the growing challenges faced by today’s power systems. It starts with an explanation of the origin and basic theories of quantum computing before going into its current applications. After that, the text shows where quantum computing can make a difference in solving complex problems in the power system. Some of the main subjects are calculating AC and DC power on the network, assessing reliability in case of outages, keeping track of grid conditions, modeling sudden voltage bursts, locating malfunctions quickly, choosing how much power to produce, and planning the layout of new power plants. To some extent, because of the technical limits of present-day quantum computers, quantum computing has the power to make a huge difference in how we manage power grids. Researches show that with the expected progress in quantum technology, running quantum computers can have a major impact on resolving large-scale energy problems in the real world soon. Besides pointing out what quantum computing is used for, this research also motivates more scientists to research and explore new possibilities in this field.

15. A Detailed Overview of Optimal Approaches to Enhance the Applicability of Renewable Energy Systems

    Dinesh Kumar Yadav, R. Raghavendra, Intekhab Alam, Devendra Kumar Doda, Tahir Khurshaid

    Abstract

    Since people are worried about the environment and energy costs, several governments have chosen to concentrate on renewable sources in their new energy strategies. Renewable energy sources are capable of being widely used and are environmentally sustainable. Examples of these are wind, solar, and hydro power. In comparison to standalone systems, hybrid systems provide a more affordable, sustainable, and stable power supply under various load demand situations by integrating these renewable energy sources with backup units. An essential element of these hybrid systems entails adjusting the dimensions of components to guarantee they satisfy load requirements while minimizing investment and operational expenses. Amid the extensive acceptance of renewable energy sources, several research have surfaced that concentrate on refining and determining the appropriate scale of hybrid renewable energy systems. This research conducts a thorough examination of current optimal sizing methods discussed in existing literature. The objective is to contribute significantly to the wider incorporation of renewable energy by improving economic feasibility and system suitability.

16. Classification and Applications of Variants of Fuzzy Logic Models in Renewable Energy Systems: A Review

    Beemkumar Nagappan, Savita, Kunal Sharma, Himansh Kumar, Shahdab Murshid

    Abstract

    Over the past few years, people have been using more energy because of globalization and as many countries have moved from farm-based to industrial and knowledge-based economies. As a result of this change, there are greater demands for energy and emissions have gone up. Because of these issues, fuzzy logic, neural networks, and genetic algorithms are used more often to help with energy planning and policies, which promotes both economic growth and conservation of nature. This study looks in detail at how fuzzy logic plays a role in solar, wind, bioenergy, microgrids, and hybrids. Results discovered that fuzzy logic is most often used during site scouting, for renewable energy installations, finding the highest energy point, and optimizing several important factors. According to the review, fuzzy models are dependable and useful for finding effective, accurate outcomes in many renewable energy fields.

17. An Exploratory Analysis of Current and Future Trends of Artificial Neural Network (ANN) Paradigms in Wind Energy Systems

    Amandeep Gill, Shreshta Bandhu Rastogi, Beemkumar Nagappan, Savita, Tahir Khurshaid

    Abstract

    Wind energy is an important part of renewable energy. It requires complex wind energy conversion technologies and creative ways based on advanced analytics. This study provides a comprehensive analysis of artificial neural networks (ANNs) in wind energy systems, focusing on the most often used techniques in various applications. The research demonstrates that ANNs are effective substitutes for traditional methods, particularly in recent times. The methods are divided into four main application areas: optimal control, finding faults, examinations, optimized design, and modelling and predictions. A detailed analysis of every application area highlights the benefits and drawbacks of various ANN topologies, while a statistical research assesses the current state and potential trends in this sector. The study does a quantitative analysis of significant references, offering fresh statistical perspectives on the state of the field now and its potential futures. Furthermore, based on the conclusions of the literature analysis, the article concisely describes the primary challenges and technical shortcomings that occur while using ANNs in the context of wind turbines. A thorough table provides a concise summary of important references categorized by application categories and case studies, giving a consolidated viewpoint.

18. Deployment of AI Algorithms and Sensors in Interface Development for Smart Homes: A Bibliographic Survey

    Aasheesh Raizada, A. Prabhu, Vaishali Singh, Sandeep Gautam, Muhammad M. Roomi

    Abstract

    The abstract outlines a comprehensive exploration of Smart Home (SH) technology, emphasizing its role in enhancing residents’ quality of life while ensuring privacy. However, to enrich the study’s relevance to the conference on renewable power, it is advisable for the authors to incorporate examples where renewable power sources and sensors are integrated into SH systems, leveraging AI algorithms for efficient energy management. By illustrating how AI-driven analytics can optimize energy consumption based on renewable sources and sensor data, the study can provide valuable insights into the intersection of SH technology and renewable energy, thereby contributing to advancements in sustainable living environments. Integrating such examples will not only enhance the study’s applicability to the conference theme but also showcase its potential impact on promoting renewable energy adoption within smart home ecosystems.