Malhotra / Mahajan / Singla | Sustainable Energy Systems: Planning, Integration and Management | E-Book | www.sack.de
E-Book

E-Book, Englisch, 245 Seiten

Malhotra / Mahajan / Singla Sustainable Energy Systems: Planning, Integration and Management


1. Auflage 2026
ISBN: 979-8-89881-480-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 245 Seiten

ISBN: 979-8-89881-480-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection



Sustainable Energy Systems: Planning, Integration and Management provides integrated perspectives on engineering, management, and technological perspectives to examine how renewable energy sources, smart grids, artificial intelligence, and advanced forecasting methods can be effectively planned, integrated, and managed within contemporary energy infrastructures.
The book begins by introducing AI-enabled smart grid systems and their role in improving energy efficiency, reliability, and grid optimisation. The book highlights the technology, storage and working principles behind major renewable energy sources, including solar, wind, hydro, geothermal, and biomass.
Chapters also focus on the use of computational intelligence in forecasting, management and optimisation of major energy sources. The book examines frameworks, principles, supply chains, and policy-driven approaches to sustainable energy governance. Real-world case studies on energy management provide practical insights into scalable and implementable solutions.
By combining theoretical foundations with applied case studies and modern digital technologies, this book serves as an essential resource for understanding the planning, integration, and management of sustainable energy systems in the era of intelligent and renewable-powered infrastructure.
Key Features:
-Comprehensive coverage of renewable energy technologies, including solar, wind, hydro, geothermal, biomass, and hydrogen energy
-Exploration of AI-enabled smart grids, energy forecasting, and intelligent energy management systems
-Integration of Industry 4.0, machine learning, and digital technologies in energy optimisation and planning
-Detailed discussion on hybrid renewable systems, energy storage, and grid integration strategies.

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Weitere Infos & Material


AI-Enabled Approaches for Optimizing the Smart Grid System




Sahil Garg1, Yugen Sevda2, Pooja Mahajan3, *
1 Department of Mechanical Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India
2 Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India
3 Department of Applied Sciences, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India

Abstract


A smart grid represents a huge leap forward from conventional grids and uses advanced technologies to make the power grid more efficient, reliable, and sustainable. One of its main features is two-way communications, which helps in self-healing, active consumer participation in managing energy, and resilience against both physical and cyber threats. A very important dimension of this transition is the integration of different sources of energy, including renewable energy, which plays a crucial role in reducing dependence on fossil fuels and maintaining an environmental-friendly energy path. The chapter examines key areas where AI can make significant contributions, including demand response management, energy forecasting, asset management, and fault detection. Predictions in the energy domain benefit from AI's processing power for huge volumes of data and continue to improve because of better accuracy, which will lead to grid stability. AI-powered fault detection systems can quickly identify and resolve issues, minimizing downtime and improving overall grid reliability. However, integrating AI into smart grids introduces new challenges, especially concerning cybersecurity and the increasing reliance on digital infrastructure. It offers the ability to optimize grid efficiency, integrate renewable energy more smoothly, and enhance resilience. This chapter contributes to the understanding of the potential benefits and challenges related to AI integration in smart grid systems, highlighting key approaches for future research and development in this rapidly evolving field.

Keywords: AI integration, Demand Side Management, Grid resilience, Renewable energy integration, Smart metering.

* Corresponding author Pooja Mahajan: Department of Applied Sciences, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India; E-mail: pooja.mahajan@chitkara.edu.in

Introduction


With an increase in global population, the demand for electricity is rising. The world’s electricity consumption has doubled over the past 30 years, reaching an estimated 28-thousand-Terawatt hours in 2021; however, the population is estimated to have increased by 8 billion [1] [2]. Electricity plays a crucial role in our everyday lives, especially in developed nations. The average household in the United States uses approximately 10,715 kilowatt-hours of electricity each year [3]. As developing countries rapidly industrialize, their energy needs are exploding.

Electric grids have traditionally served as the blueprints for power distribution systems in the past decades [4]. These grids are the coordinated structures engineered to deliver electric power from the generating facilities to electricity consumers. The backbone component consists of power generation facilities, high-voltage transmission lines, and distribution networks [5]. Electricity is produced at a power generation facility, then transmitted through high-voltage wires to central load areas. After that, the voltage is reduced before being distributed to individual consumers.

The conventional grid operates through one-way communication as electricity generated at power plants is transmitted to consumers with minimal interaction or feedback from end-users [6]. Some cons are inadequate power distribution, extremely high operational costs, significant problems in deploying renewable energy sources, and, very importantly, the high failure rate. Conventional grids are also prone to outages, lacking real-time monitoring and self-healing properties [7].

A smart grid is a modern electricity distribution network that utilizes computers and other electronic tools to collect information, including power consumption data, send it across the entire system, and then act on this interactivity between suppliers and users in real-time. The represents a significant improvement over the traditional, one-way delivery of electricity favored by power plants to consumers, enabling two-way communication and active control features [8].

Characteristics of smart grids


Smart grids are featured by various characteristics, as listed in Fig. (1). For instance, in self-healing, these grids can identify and respond to faults on their own, thus being dependable and reducing their downtimes. This also encourages active customer participation in the management of energy usage, generally through demand response programs. Moreover, grids can resist both physical and cyber attacks. Moreover, smart grids have the capacity to recover from such attacks and guarantee a stable power supply [9].

Fig. (1))
Key characteristics of smart grid systems.

Also, smart grids are appropriate for modern users, as these grids provide high-quality power, minimizing issues like voltage sags and surges. Additionally, smart grids can interconnect, enable, and manage multiple generation options, including renewable resources or distributed generators, as shown in Fig. (2).

The core of a smart grid is the integration of green power sources, such as solar panels on our roof, with conventional grid systems [10]. These renewable energy sources are complementary to conventional power generation and help reduce the carbon footprint [11]. Plug-in hybrid electric vehicles, as shown in Fig. (2), also become part of this smart grid system. Most of these vehicles are capable of consuming electricity from the grid and also returning power back during times when the system’s demand is high [12]. Also, smart thermostats, appliances, and in-home control devices can utilize the power of this system. The real-time pricing signals allow consumers to track and manage their energy usage (energy efficiency) in order to make cost savings [13].

Fig. (2))
Smart home energy management system.

By connecting homes to a high-speed, networked connection to utilities, the infrastructure would enable two-way communication that ultimately allows continuous operation on an ongoing basis for Virtual Power Plants (VPPs) and Distributed Energy Resource Management Systems [14].

Smart grid systems communicate through control centres, which are essentially nerve centres of these grids that help in managing communication and electricity flow throughout the system. The control centre is responsible for the operation of the entire network, while the distribution control center, on the other hand, manages activities that concern distribution, as shown in Fig. (3) [15]. The energy service provider is the main source of electricity that comes from different places like power plants built or generation stations, as shown in Fig. (3) [16].

Fig. (3))
Smart Grid Communication and Control Infrastructure.

The smart grid system allows electricity to flow from various generation sources to diverse types of consumers. Fig. (4) illustrates the various sources contributing to the smart grid on one side and includes traditional power generation sources, such as nuclear and thermal power plants, and factories, along with other renewable energy sources such as hydropower (e.g., a hydroelectric dam), wind turbines, and photovoltaic.

The regional system operator is important for balancing supply and demand on a larger scale, resulting in reliable power delivery more efficiently on the main street. The power market enables electricity trading and contributes to the integration of Distributed Energy Resources [17].

Transmission and Distribution Substations are an important part of electrical generation, distribution systems, respectively. It is the substation where electricity is used to step up or down through a voltage converter transformer for transmission and distribution over long distances [18]. Residential homes and cities/offices are highlighted as the biggest electricity consumers of smart grid systems. Real-time monitoring, control and optimization of...



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