Concept of rural intelligent grid interactive planning methodology

Since the European Union aims to generate by renewable energy sources up to 80% of the total electric demand by 2050, the ideas towards integration traditional and distributed sources have been developed. Smart grid is one of such idea. In fact it helps to provide the concept of an interactive methodology implemented in the design IT tool for planning, observing and operating energy power infrastructure within rural areas. The Rural Intelligent Grid (“Rigrid”) Network in the framework of the initiative ERA-Net Smart Grids Plus leads to the emergence of demonstration installations for modern renewable and distributed energy in Podlaskie voivodship in Poland. The aim of the project Rigrid is to design and demonstrate an innovative tool for the planning and the operation of energy power infrastructures in rural areas. The final result of the project shall be an energy & measurement & IT system, verified in a laboratory in real conditions. The system shall have both options: to operate in parallel with the power grid or in island operating conditions, dedicated for the optimal planning and efficient operation of integrated renewable energy equipment in rural areas, ensuring continuous and secure supply of energy. The repetitive methodologies developed during the project will enable the efficient introduction and implementation of smart grid solutions that maximize RES and low carbon energy, while providing secure electricity supplies.

A smart grid that integrates additional renewable energy sources (RES) requires advanced management strategies to increase dependability and efficiency. Accurate estimations of energy consumption and RES generation are essential to the functioning of the smart grid. But the evaluation procedure is still difficult due to the unpredictable nature of RES and the diverse energy consumption patterns of users. The research introduced an innovative approach, the modified coot-optimized tuned hierarchical artificial neural network (MCO-HANN), for managing RES in smart grids. To use RES data, with continuous wavelet transform (CWT) applied for pre-processing to extract significant features from energy usage data. A python-based implementation of the MCO-HANN approach is evaluated using various metrics, including RMSE (0.0435), precision (96.2%), recall (95.4%), MAE (0.035), and accuracy (97.6%). The results of a comparative analysis show that the proposed MCO-HANN approach outperforms existing techniques in managing RES within smart grids. However, the model's functionality is influenced by the quality of input data, and its scalability can face challenges when applied to large, real-world smart grid environments. The method offers a viable way to maximize the incorporation of RES in upcoming smart grid systems.

A new methodology and web calculator, known as the emissions quantification tool (EQT), are designed to estimate the emissions impacts of a growing range of specific smart grid technologies and project types. Significant CO2, NOx, and SO2 reductions are possible with these technologies, but results are highly context dependent. This transparent, modular, reproducible, and publically accessible screening tool draws on well-vetted methodologies from trusted sources and allows comparison of possible and completed smart grid project impacts by diverse stakeholders. The live web calculator and full documentation are available at http://eqt.pnnl.gov.

The energy domain worldwide is experiencing high transformative pressure due to the imperative of climate change and new opportunities brought by various rapidly evolving digital technologies. Particularly, this change is affecting smart grids (SGs), which are increasingly shifting toward utilizing renewable and distributed energy sources. The natural intermittency of these energy sources increases the complexity of SG operations, such as ensuring continuity of energy supply and demand response balancing. In mitigation of these challenges, the tools and complex approaches that digitalization can provide have shown themselves particularly advantageous. There is a solid body of work showing how technologies like the Internet of Things (IoT), distributed ledgers, edge and cloud computing, machine learning (ML), etc., can be applied to address a variety of technical and economic problems in the energy sector, emphasizing SGs. This paper presents the most comprehensive literature review to date on digitalization in renewable energy source-based SGs, synthesizing over 200 studies across data analytics, artificial intelligence and ML, digital twins, edge–fog–cloud computing, the IoT, advanced metering infrastructure, and distributed ledger technologies. Unlike previous reviews, which are often limited to a single technology or narrow application, this work provides a cross-technology synthesis linking technical and financial aspects, identifies consolidated research gaps, and proposes a unified research agenda. The review further highlights future trends, including large language models, 6G communications, and distributed autonomous organizations, and discusses their implications for both industry practice and academic research.

This paper explores and describes resident’s experiences from a smart grid project that involved 20 households in a rural area in Denmark and ran from 2014 to 2015. The study is based on qualitative data from the participating households, collected 6, 12 and 18 months after the start of the intervention. Drawing on theories of social practice and the three intertwined elements of a practice: competences, images and materials, the paper contributes with an in-depth analysis of a complex intervention, focusing on how the participants changed energy practices as a result of the installed smart grid technologies. Long-term studies on such comprehensive energy interventions and derived changes in domestic energy practices are exceptional. The results show that people relate to their natural environment in new ways and construct new practices according to the movements of the sun; that they gradually become skilled practitioners and prosumers; and that they also increase consumption and develop expectations towards the energy company, requesting better dialogue on energy consumption and control. The paper concludes with reflections and suggestions on how findings may be relevant to policy and research in the area.

Concerns about climate changes and environmental air pollution are leading to the adoption of new technologies for transportation, mainly based on vehicle electrification and the interaction with smart grids, and also with the introduction of renewable energy sources (RES) accompanied by energy storage systems (ESS). For these three fundamental pillars, new power electronics technologies are emerging to transform the electrical power grid, targeting a flexible and collaborative operation. As a distinctive factor, the vehicle electrification has stimulated the presence of new technologies in terms of power management, both for smart homes and smart grids. As the title indicates, this book chapter focuses on the role of off-board EV battery chargers in terms of operation modes and contextualization for smart homes and smart grids in terms of opportunities. Based on a review of on-board and off-board EV battery charging systems (EV-BCS), this chapter focus on the off-board EV-BCS framed with RES and ESS as a dominant system in future smart homes. Contextualizing these aspects, three distinct cases are considered: (1) An ac smart home using separate power converters, according to the considered technologies; (2) A hybrid ac and dc smart home with an off-board EV-BCS interfacing RES and ESS, and with the electrical appliances plugged-in to the ac power grid; (3) A dc smart home using a unified off-board EV-BCS with a single interface for the electrical power grid, and with multiple dc interfaces (RES, ESS, and electrical appliances). The results for each case are obtained in terms of efficiency and power quality, demonstrating that the off-board EV-BCS, as a unified structure for smart homes, presents better results. Besides, the off-board EV-BCS can also be used as an important asset for the smart grid, even when the EV is not plugged-in at the smart home.

There are many smart grid test beds in the world, and the combination of smart grid technologies in each test bed is somewhat different according to the needs of each country. Among several test beds, it seems that Korean case is the special reference because it was covered with full scale from transmission to customer, and all kinds of smart grid technologies were installed and tested in its test bed. In this paragraph, the readers may understand the draft of smart grid technology in Korea, the directions of smart grid filed application, and the results of smart power grid project.

Against the backdrop of a global shift towards renewable energy sources (RES) and the increasing complexity of modern power grids, smart grids (SGs) emerge as a critical solution for enhancing efficiency, reliability, and sustainability. This paper reviews a total of 177 key references published between 2014 and 2024, providing a comprehensive analysis of the most recent advancements in SG technologies and their pivotal role in shaping the future of power systems. The research explores the multifaceted components of SGs, encompassing intelligent sensing, communication technologies, home energy management systems, demand-side management, smart metering, smart electric vehicle charging, smart lighting, the Internet of Things, and the integration of big data, while investigating their role in enhancing the power grid in a smart and digitally integrated manner. The paper also discusses the SG features that have developed and improved the transmission and distribution networks, as well as the ancillary services on a grid-scale introduced through digitization. In addition, the status of the investment in SG is highlighted. The electrification of the global economy, driven by the urgent need to integrate RES, prompted an 8% increase in electricity grid investment in 2022. Additionally, digital technology investments for the grid constituted 19% of the total grid investment in the same year. SGs stand at the forefront of this transformation, playing a central role in facilitating the integration of variable RES, implementing digital technologies, smart devices, and optimizing power systems for diverse sectors. Despite substantial progress, some challenges persist that need further attention to ensure the seamless integration of SG technologies. The findings underscore the pivotal role of SGs in enhancing energy efficiency, effectively managing distributed energy resources, and strengthening the resilience of power systems. In conclusion, the recent advancements in SGs mark a transformative era for the power sector. However, to fully unlock their potential, it is essential to address the key challenges that hinder their seamless integration. Accordingly, these challenges are outlined to guide future research in developing innovative solutions that further optimize and advance the capabilities of SGs.

With the rapid development of national economy, our demand for power resources has also increased rapidly. The traditional power grid can not be achieved operational status of equipment for effective monitoring and control, we will not be able to ensure the quality and quality of electricity service. Cloudbased build smart grid information platform enables gathering the parameter of grid operation state, greatly increasing the economic efficiency of power enterprises. Firstly, cloud computing and smart grid briefly described, and then pointed out that cloud computing applications in the smart grid information platform, and specialized of cloud-based smart grid information platform, in order for the power grid enterprises to enhance their level of service and provide effective reference. KEYWORD: cloud computing; smart power grids; information platform; Application 4th International Conference on Mechanical Materials and Manufacturing Engineering (MMME 2016) © 2016. The authors Published by Atlantis Press 202 3 THE MAIN PROBLEM IS STILL THE SMART GRID INFORMATION PLATFORM FACING The transition to a cloud computing data center. Our data center because of the different regions and the degree of information presents different characteristics, some data centers already have a basic cloud computing capabilities, but most data centers still remain in the initial level, to ensure the normal operation of the existing data center power under the premise, gradual transition to cloud computing data center in order to meet future requirements of the development of smart grid. Restricting data transmission problem. State Grid Corporation between provincial branches and there are a lot of data needs to be transmitted, will bring massive data transmission efficiency decreases, taking into account the load balancing device between the cloud node, thus building a wide area network channels to resolve data transmission problem. Security of data transmission. Data Center for Cloud Computing power companies to build internal private cloud, capable of self-maintenance and management, system wide area network data transmission services, according to the third security zone defined security partition, and install proprietary equipment production area and external public network isolation . 4 CLOUD COMPUTING APPLICATIONS IN THE SMART GRID INFORMATION POLICY PLATFORM Integrate and optimize the management of heterogeneous resources. Among the smart grid systems, data resources, information systems between various platforms and mutually dispersed, severe heterogeneity, thus leading to the integration of the quality of information sharing to increase difficulty, unable to effectively improve network management efficiency for the power distribution system electrical work quality management and marketing operations system maintenance upgrade will not be able to effectively meet demand (Jie Yang, 2014). Cloud computing technology enables the power system to effectively integrate the various business data and computing resources on the basis of information for business collaboration platform built on effective, able to satisfy the huge demand for smart grid information resource sharing. Cloud computing network virtualization and application virtualization technology, the server virtualization technology and other resources to achieve each service abstraction, and then realize the difference between the system and the software effectively eliminated by the appropriate method to achieve the effective integration of information resources, and then to optimize the management, greatly improving the efficiency of heterogeneous resources management applications. Distributed storage and management of large volume of data. After application of smart grid information platform construction, customer service requests varied, huge data volume information brought it to the storage and management of data provides a great challenge. Cloud computing technology in general face amount of data each smart grid system and unit collected using forms distributed storage of data to achieve the effective storage, greatly to ensure the security and reliability of data storage. GFS effective use of technology with each node, the master server is responsible for the effective management of the whole file system, the file system and complete the work of the metadata stored in the data block is the main server for data storage block sliced, and by saving three or more redundant backup storage. At the same time, client access and complete access to the main block server information. Fast Power System Parallel Computation and Treatment. Smart grids and information platform for the large volume of data to provide stable operation of the power grid data base, but more critical is the analysis and design of each system operating data, planning and decision-making, and even failures and transient stability, state estimation and intelligent a variety of computing and content analysis and decision-making process, its huge computing needs, general computing system can not reach its goal (Wang, Mengxue, 2015). Cloud computing technology through parallel computing technology has greatly enhanced parallel processing capability of the power system, which provides parallel programming model makes more simple and efficient parallel algorithms. MapReduce as Google made an important parallel programming model, and its role in large data sets in parallel computing plays a very prominent. Parallel processing job results by the client to achieve effective user submitted, via decomposition automated master role, the corresponding task scheduling to working nodes and nodes work completed by the specific calculations and perform the appropriate task. 5 SMART GRID INFORMATION PLATFORM CLOUD COMPUTING ANALYSIS Cloud Computing Smart Grid Information Platform Architecture. Smart grid technology information platform architecture cloud computing include the following several levels and aspects (Yan Cui, 2015): First, that the platform infrastructure layer is the integration of the various hardware resources and related management capabilities of virtualized using virtual technology to achieve the corresponding hardware devices such as computers and network storage devices abstraction, and then complete the automation and optimization of resource data and load management; secondly, the main platform for the integration of the various layers of software

The effectiveness of power plants of various types in Russia (Siberia and the Far East) and neighboring Asian countries (China, Korea, Japan) was evaluated according to the criterion of the cost of generated electricity. Differences in energy development conditions in these countries (technical and economic indicators of power plants etc.), prices of fossil fuels, climatic characteristics) was taken into account. Two options for the use of renewable energy sources (RES) are considered - unfavorable and favorable (basic and ecological). They differ in the values of RES capacity factor due to different climatic conditions, as well as charges for carbon dioxide emissions (carbon tax). It is shown that under conditions that are less favorable for renewable energy sources, fossil fuel power plants or nuclear power plants are the most economical options. The dependences of the electricity cost on the carbon tax under favorable conditions for renewable energy have been obtained. Values of carbon tax, at which renewable energy sources produce cheaper electricity than organic-fueled power plants have been found.

Smart grid is an idea of upgradation of the traditional electric grid infrastructure. The efficiency of the existing electrical grid can be automated by integrating with innovative technical equipment such as: high-tech forecasting system, digital sensors, advanced two-way communication and two-way power flow systems. Smart grid establishes an interface between utility and consumer which helps to use energy, based on the preferences of price, eco-friendly and without technical system issues. It empowers the grid to be more secure, reliable and efficient. The peer-reviewed articles and published government reports have been reviewed, based on the analysis of technical characteristics of power generation systems, eco-friendly sources of power generations, cost reduction, functionality and design of traditional grid versus smart grid. Furthermore, the innovative technologies that enable the grid to integrate with decentralized power generation system efficiently have been considered. This paper claims that in this modern era, it is arduous for traditional grid to fulfill the rising demand of electricity, along with sustainable, eco-friendly and stable power supply, as it cannot be efficiently integrated with decentralized and localized power generation systems and renewable energy sources. The result of this paper shows that decentralized and localized power generation systems are located close to end-users which decrease the transmission and supply cost of electricity. Innovative technologies allow the decentralized and localized power generation systems to be integrated with renewable energy sources which help to reduce the cost of utility services and provide clean energy. Moreover, technological advancement played a decisive role in enabling the electrical system to be more efficient. Electrical reliability can be improved, greenhouse gas emissions can be reduced, renewable energy sources can efficiently be integrated, and rising demand for electricity can be met by embedding advanced applications and technological equipment in the electrical grid.

Electricity theft is a pervasive problem all over the world. With electricity generation in Nigeria falling short of the required generation ca-pacity, it is disturbing that the little power generated is also being stolen by some unscrupulous consumers. Electricity distribution compa-nies in Nigeria (DisCos) lose about ₦30 billion every month owing to electricity theft. This amount is whopping, and if significantly re-duced and spent on the power infrastructure and management, it would improve the power situation in the country. This paper proffers the deployment of Smart Grid (SG) with its inherent smart metering as a solution to the electricity theft situation in Nigeria, as a result of its improved flexibility, security and reliability. Smart Grid also supports energy diversification, by allowing the integration of various renewa-ble energy sources into the conventional power grid. This will tend to help in improving the epileptic power situation in the country.

With the rapid advancement of technology and the growing reliance on renewable energy sources, smart grids have emerged as a transformative solution for enhancing the efficiency and reliability of power distribution systems. As the smart grid ecosystem evolves, security concerns become paramount due to the interconnectedness of various components, including advanced metering infrastructure, communication networks, and distributed energy resources. This paper presents a comprehensive analysis of smart grid security, focusing on the challenges, vulnerabilities, and potential threats that must be addressed to ensure the resilience of these intelligent infrastructures. It explores the diverse attack vectors that malicious actors may exploit to compromise smart grid operations and highlights the potential consequences of such security breaches, including power disruptions, data breaches, and financial losses. To counteract these risks, this paper delves into various state-of-the-art security measures and strategies that can be implemented to safeguard smart grids effectively. Moreover, the importance of collaboration between various stakeholders is described, including utility companies, government agencies, researchers, and technology vendors, to foster a holistic approach to smart grid security. By emphasizing the significance of information sharing and collaboration, this paper advocates for a robust and adaptive security framework to respond promptly to emerging threats and vulnerabilities. Furthermore, the paper explores emerging technologies such as artificial intelligence, blockchain, and intrusion detection systems, showcasing their potential contributions in fortifying smart grid defenses. It was noted that the integration of these innovative technologies can enhance anomaly detection, facilitate secure data exchange, and reinforce the resilience of the smart grid against sophisticated cyber-attacks. Towards the end of this paper, insights into future research directions and policy implications to foster a more secure and sustainable smart grid environment is provided. By acknowledging the evolving threat landscape and the dynamic nature of the smart grid domain, this work encourages continuous research and development to stay ahead of adversaries and establish a secure foundation for the future of energy distribution.

The management and control of the renewable energy sources in smart grid are currently the most challenging topics in this area of research. Since renewable energy sources are potentially located away from urban areas, cellular communications are most suitable for this purpose. In this paper, we propose an LTE-based priority and delay oriented multicast scheduling technique designed specifically for smart grid management purposes. Using multicast communications in smart grid is most suitable since various messages should be sent to multiple renewable energy sources simultaneously. This is to ensure that these sources are coordinated in performing the same action within a certain time constraint to avoid any power shortages or other issues within the system. We evaluate our proposed technique and compare it with other general purpose multicast scheduling techniques. Results show that the proposed technique offers an enhanced performance over other techniques in delivering smart grid traffic while maintaining good performance for the other real-time traffic, such as voice traffic, within the network.

The global energy landscape has always been dominated by fossil fuels, but with the intensification of climate change and environmental issues, people realize that the traditional energy system must be transformed. In order to integrate renewable energy and improve the sustainability and resilience of the energy system, smart grids have emerged. Smart grid is a modern grid system based on advanced communication, control and information technology, which can integrate renewable energy more effectively. As one of the renewable energy sources, solar energy plays an important role in the smart grid. It has the advantages of wide distribution, environmental protection, and renewable, and with technological progress and cost reduction, solar power generation is widely used in smart grids. Similarly, wind energy, another important renewable energy source, also plays an important role in the smart grid. The continuous development of wind turbine technology has made wind power generation more efficient and reliable, and the integration with smart grid infrastructure has further improved the efficiency of wind energy utilization. In addition, hydrogen energy has great potential as a clean energy carrier, but the storage and distribution of hydrogen energy in smart grid systems still face challenges.