scholarly journals GEOSPATIAL, FINANCIAL, HUMAN, AND TEMPORAL FACTORS IN THE STUDY OF THE DEVELOPMENT OF RENEWABLE ENERGY AND SMART GRIDS

Author(s):  
Y. Matvieieva ◽  
I. Myroshnychenko ◽  
S. Kolosok ◽  
R. Kotyuk

Balanced development of smart grids is becoming an increasingly important issue for the energy sector's successful operation. This article provides a bibliographic review of publications in the study of renewable energy and smart grids' deployment parameters. A sample of works for 2009-2020 from the Scopus® database, which contains bibliographic information about scientific publications in peer-reviewed journals, books, and conferences, was selected for analysis. The authors identified three clusters of research areas using VOSviewer (version 1.6.15) in the context of the impact of geospatial parameters on smart grids' development. The first cluster consists of the financial, human, and temporal components of the geospatial factor of smart grid deployment. The authors found the largest number of links in the first cluster in terms of "costs" (a total of 29 links with an average impact of 9). The second cluster coincides with concepts related to geospatial information systems (GIS), digital storage, information systems, and cartographic information use. Research on renewable energy also belongs to the second cluster of publications. And the third cluster highlights all the concepts of smart grids by their technical types and in the context of optimization. The third cluster focuses on the ideas with the strongest link power. The results of the analysis of the Scopus® database allowed to determine the level and dynamics of scientific interest in the geospatial factors of the development of smart grids over the past 10 years. It is established that research in the field of geospatial factors of smart grid development is carried out by different countries, but the most active analysis of the impact of geospatial parameters on the development of smart grids in the following countries: USA, Canada and China. Based on the use of the Scopus® database, the article identified institutions and organizations that fund the study of geospatial factors and smart grids and made a significant contribution to the development of this topic.

2018 ◽  
Vol 10 (11) ◽  
pp. 4047 ◽  
Author(s):  
Jinchao Li ◽  
Tianzhi Li ◽  
Liu Han

In order to eliminate the impact of inter-regional differentiation of development demand on the objective evaluation of the development level of smart grid, this paper establishes the evaluation model of weight modification, transmission mechanism and combination of subjective and objective weights. Firstly, the Analytic Hierarchy Process method is used to calculate the weights of evaluation indices of effect layer and then the indices of development demand are used to modify the weights of them. The association analysis and the correlation coefficient are used to establish the weights conduction coefficient between the effect level and the base level. Then the subjective weights of the indices of the base layer are calculated. The objective weights of the indices of the base layer are obtained by using the entropy method. The subjective weights of the base layer and the objective weights obtained by the entropy method are averagely calculated, and the comprehensive weights of the evaluation indices of the base layer are obtained. Then each index is scored according to the weights and index values. Finally, the model is used to quantitatively inspect the level of development of smart grid in specific regions and make a horizontal comparison, which provides a useful reference for the development of smart grids. The relevant examples verify the correctness and validity of the model.


Author(s):  
Yahia M. Esmail ◽  
Ali H. Kasem Alaboudy ◽  
M. S. Hassan ◽  
Gamal M. Dousoky

Power quality (PQ) assurance is a vital part of electrical distribution networks. There are many advantages and benefits of improving PQ, especially in the modern/smart grid. Smart grid (SG) has a lot of complicated and sensitive electrical components (non-linear loads) in addition to renewable energy systems (wind-solar) that may also be a source of PQ disturbances. PQ problems harm personal life and national production. Static synchronous compensator (STATCOM) and unified power quality conditioner (UPQC) are among the fastest response flexible alternating current transmission systems (FACTS) installed in smart grids to mitigate power quality disturbances such as voltage fluctuations, sag, swell, and harmonics. In this research, STATCOM and UPQC are designed and simulated in MATLAB/Simulink to overcome PQ-related disruptions in smart grids. Accordingly, the differences between the proposed two solutions are highlighted across this research and renewable energy sources' reliability during faults. Therefore, the reader will be able to choose the appropriate FACTS devices. This study emphasizes the extent of the smart grid need for the FACTS. As per the given results of this study, STATCOM and UPQC have shown exemplary performance in the PQ improvement investigations conducted in the context of smart/modern grids.


2019 ◽  
Vol 9 (3) ◽  
pp. 518 ◽  
Author(s):  
Peicong Luo ◽  
Xiaoying Wang ◽  
Hailong Jin ◽  
Yuling Li ◽  
Xuejiao Yang

Recently, as renewable and distributed power sources boost, many such resources are integrated into the smart grid as a clean energy input. However, since the generation of renewable energy is intermittent and unstable, the smart grid needs to regulate the load to maintain stability after integrating the renewable energy source. At the same time, with the development of cloud computing, large-scale datacenters are becoming potentially controllable loads for the smart grid due to their high energy consumption. In this paper, we propose an appropriate approach to dynamically adjust the datacenter load to balance the unstable renewable energy input into the grid. This could meet the demand response requirements by taking advantage of the variable power consumption of datacenters. We have examined the scenarios of one or more datacenters being integrated into the grid and adopted a stochastic algorithm to solve the problem we established. The experimental results illustrated that the dynamic load management of multiple datacenters could help the smart grid to reduce losses and thus save operational costs. Besides, we also analyzed the impact of the flexibility and the delay of datacenter actions, which could be applied to more general scenarios in realistic environments. Furthermore, considering the impact of the action delay, we employed a forecasting method to predict renewable energy generation in advance to eliminate the extra losses brought by the delay as much as possible. By predicting solar power generation, the improved results showed that the proposed method was effective and feasible under both sunny and cloudy/rainy/snowy weather conditions.


2020 ◽  
Vol 3 (3) ◽  
pp. 78-91
Author(s):  
Mohamed Koroma ◽  
Ibrahim Abdulai Sawaneh

This paper presents a detailed survey of global energy delivery and smart grid approaches. Particularly in the sense that shows the impacts on the production of energy resources globally. How can energy losses be reduced, primarily by implementing smart grid approaches? Power transfers and reduction of energy sources can be made by smart grids with information technology (I.T) such as sensors digital meters and communication networks.  Energy from photovoltaic and wind power are some of the energy delivery systems that have gained attention since they are cheap and environment-friendly and do not emit greenhouse gas. Presently available grid is insufficient to serve future systems. For this reason, an intelligent grid system is required to support future needs for society. This paper expounds on the impacts of the existing power delivery system and suggests a smart grid for global energy delivery on a better management system.


Author(s):  
Nawal Ait Aali ◽  
Amine Baina ◽  
Loubna Echabbi

Currently, smart grids have changed the world, given the great benefits of these critical infrastructures regarding the customers' satisfaction by offering them the electrical energy that they need for their business. Also, the smart grid aims to solve all the problems encountered in the current electrical grid (outage, lack of renewable energy, an excess in the produced power, etc.) by transmitting and sharing the information in real time between the different entities through the installation of the sensors. This chapter therefore presents the architecture of the smart grid by describing its objectives and advantages. In addition, the microgrids are presented as small electric networks. Then, focusing on the security aspects, an analysis of the different attacks and risks faced in the smart grids and more particularly in the microgrids is presented. After, different techniques and suitable security solutions are detailed to protect and secure the various elements of the smart grids and microgrids.


2016 ◽  
Vol 58 (1) ◽  
Author(s):  
Marie Antoinette van Amelsvoort

AbstractDue to the integration of renewable energy ressources in the electricity grids, many new challenges have to be coped with. Therefore, new architectures are developed. To validate if a new architecture meets the requirements of transforming electricity grids into Smart Grids, a general evaluation-metric should be used.Not all requirements and their satisfaction can be mapped on monetary values, so a differentiated view on different aspects of an Smart Grid architecture is preferable. To meet this purpose, the idea is to develop separate evaluation-metrics on each layer of the Smart Grid Architecture Model and to build one comprising evaluation scheme for Smart Grid Architectures.


2021 ◽  
Vol 5 (3) ◽  
pp. 149-164
Author(s):  
Ihor Vakulenko ◽  
Maksym Fritsak ◽  
Pavlo Fisunenko

The transition to a carbon-neutral economy, which is now taking place in many countries, requires the use of profound transformations in energy, including the use of innovative technologies. Smart grids are the embodiment of innovative energy development. They involve the widespread use of modern advanced technologies in many areas, from energy production to designing a secure information system. Successful local projects need help to spread them globally. However, such assistance should not be limited to government intervention and administrative methods. A self-regulatory market mechanism is required to scale such projects. Some countries have a well-trodden path for innovation. However, the speed of innovation differs in each country. It depends on many unique conditions that exist in a country. There is hardly a one-size-fits-all way to spread innovation quickly that will be good for every country. However, there must be a mechanism where all stakeholders work organized to spread innovation, which accelerates this process. This article proposes an approach to developing a stakeholder interaction scheme to implement innovative projects in the energy sector based on the smart grid maturity model. To achieve this goal, the results of a comparative analysis of smart grids' comprehensive assessment systems were used, which allowed algorithmizing the processes of their creation, development, and maintenance as a basis for further scaling successful projects. The defined algorithm is a modification of the smart grid maturity model developed by IBM. In addition, a thorough analysis of scientific publications in the field of innovative projects in the energy sector is dedicated to introducing smart grids. The visualization of the proposed approach to streamlining the activities of stakeholders is based on the results of a study aimed at finding ways to overcome organizational and communication barriers between stakeholders, where the coding of the processes of smart grid projects.The scientific results presented in this article are an intermediate stage in the study of mechanisms to improve the efficiency of implementation and scaling of innovative energy-efficient projects, particularly the development of smart grids, based on the activation of latent drivers. Such drivers are organizational and communication tools.


Author(s):  
Srujana Vungarala

Blockchain is the nascent technology which has the capability of incorruptible future in making. The blockchain mechanism is regarded for its security. In recent years, many have adopted for Blockchain. This paper tries to analyze some of the game changing technologies using blockchain mechanism. The paper has been framed by using secondary research and the authors’ opinion is also voiced.Blockchain-based application are springing up, covering numerous fields including financial services, Internet of Things (IoT), and Energy distribution systems Smart Grids uses blockchain to control the flow of energy. Blockchain, the foundation of Bitcoin, has received extensive attentions recently. Blockchain serves as an immutable ledger which allows transactions take place in a decentralized manner. Blockchain-Based Smart Grids presents emerging applications of blockchain in electrical system. As, Rapid growth of renewable energy resources in power systems we require a system through which we can monitor the consumption and supply of the electricity. This is sustainable and eco-friendly alternative. This paper is tailored to analyze the blockchain applications in Bitcoin and Smart Grid.


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5860
Author(s):  
Iryna Sotnyk ◽  
Tetiana Kurbatova ◽  
Oleksandr Kubatko ◽  
Olha Prokopenko ◽  
Gunnar Prause ◽  
...  

This paper proposes methodological approaches to assessing the impact of renewable energy and energy efficiency development on emerging economies’ energy security. It is suggested to supplement the current methodology for assessing energy security with the decoupling index of the renewable energy financial burden on the state budget, the energy efficiency decoupling index, the households’ energy poverty indicator, the index of capacity development for balancing electricity generation volumes, and the energy fluctuations indicator. These indices provide a comprehensive assessment of energy security under the latest challenges. Thus, the COVID-19 pandemic in the Ukrainian energy sector led to the “green and coal paradox”, when the government decided to keep green electricity generation but limit nuclear generation. It required increased flexible capacities (thermal generation) and led to a rise in electricity prices and environmental pollution. Forecasting energy fluctuations with Butterworth filters allows minimizing the risks of maximum peak loads on the grid and timely prevention of emergencies. The energy fluctuations within the 20% range guarantee energy security and optimal energy companies’ operation. It is proposed to smooth out energy consumption fluctuations through green energy development, smart grids formation, energy efficiency improvements, and energy capacities balancing to ensure energy and economic sustainability.


2022 ◽  
Vol 9 ◽  
Author(s):  
Chengyu Li ◽  
Yanbing Zhang ◽  
Saurabh Pratap ◽  
Li Zhou ◽  
Baoquan Liu ◽  
...  

The 2060 carbon neutral target reflects the long-term equilibrium and stability of production activities and the natural environment. As an important part of Chinese energy structure, the operation and transformation of power enterprises will face higher requirements. Although the rapid development of smart grids provides necessary technical support for power enterprises to build a modern energy system with green power as the core, whether power enterprises can use smart grids to improve their operating performance and environmental performance has yet to be discussed. The differences caused by the heterogeneity of property rights will also have an impact on the green transformation and development of enterprises. This paper selects 25 Chinese power enterprises as the research objects and uses the 2011–2019 enterprise panel data and the data envelopment analysis model to evaluate the operating performance and environmental performance of power enterprises. The results show that the overall fluctuation trend of the total factor productivity index and green total factor productivity index of power enterprises are W-shaped, and technological progress is the main driving force for the improvement of power operating performance and environmental performance; Compared with enterprises with a single power generation method, enterprises with diversified power generation methods performed better in their overall total factor productivity index. After that, text mining and machine learning methods are used to classify the text of the enterprise’s annual report to determine whether the enterprise applies smart grid technology for production and operation activities. Finally, using feasible generalized least squares method (FLGS) and dynamic panel system generalized moment estimation (SYS-GMM) to analyze the impact of smart grid on the operating performance and environmental performance of power enterprises, and the nature of corporate property rights in this process. It is found that smart grids can improve the operating performance and environmental performance of power enterprises; compared with state-owned enterprises, non-state-owned enterprises can achieve better performance in the application of smart grids to improve operating performance and environmental performance. Finally, this study provides corresponding policy recommendations for power enterprises to achieve performance improvement and green transformation development.


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