Smart Grid Communication: Recent Trends and Challenges

Srivastava, Ishan; Bhat, Sunil; Singh, Arvind R.

doi:10.1007/978-981-16-7794-6_3

Cited by 5 publications

(5 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Risk topics include risk assessment of power information control systems [24], energy internet, digital secondary substations, renewable energy, smart grids, physical systems [25], and economic risk [26]. Challenges in smart grid include, for example, hyperphysical challenges in smart grid, information security and privacy challenges, technology challenges (AI, big data, IoT) [27], and communications [28]. Solutions include solution in general, solution in cyber security in smart grid, and solution in cyber security in physical system [29].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Abstracts of the 11th DACH+ Conference on Energy Informatics

2022

Energy Inform

View full text Add to dashboard Cite

We share some methodological approaches (e.g., the distributed nature and automated negotiation approaches) with existing research. For example, Wu et al. [3] validate their pricing strategies via simulations, and Hayes et al. [4] propose a co-simulation including P2P energy platforms and energy distribution networks. Other approaches adopt statistical learning algorithms (e.g., reinforcement learning and Q-learning) and game theory, enabling agents to trade autonomously and derive long-term profit-making policies (e.g., see [5, 6]). Approaches using aggregators often try to bring together smaller entities (e.g., on the household level, and allow them to provide their services to the energy market levels [7]). Similarly, they valorize flexibility. However, they typically ignore the existing and, in practice, established form of balancing groups. Our approach relies on existing structures in the energy balancing and enables them to act more dynamically and integrate more partners. Decision-making approaches for balancing groups Centralized decision-making: the BG centralizes all the partners, enabling optimization. It requires data centralization (often impossible), and it is implemented either by the BG itself or by the given SBG(s) following the BG's indications to adjust their schedules. In turn, it distributes the financial efforts/benefits among the partners. The advantages of this approach are possible optimization, risk-sharing, and limited balancing concerns. However, technical and organizational challenges (i.e., implementation/scaling) carry disadvantages, including explicit management of trust, transparency, and privacy, and practical difficulties in data integration. Decentralized decision-making: Single actors (DSOs) make autonomous decisions and are responsible for their balancing (not viable w.r.t. the current regulative framework). Indeed, the concept of balancing groups has been introduced to avoid such a decentralized solution [2]. The (theoretically) full decentralization entails advantages including actors' autonomy and no need for data integration. Nevertheless, it is discouraged by significant disadvantages such as the absence of risk-sharing (everyone is exposed to the risk), every actor needs to invest in balancing efforts (more effort per partner), possible increase of the costs, and not technologically viable. Hybrid solution: It combines the previously mentioned approaches and valorizes optimization and risk-sharing, with only a limited amount of actors needing to set up resources for balancing. It would still maintain actors' autonomy, reduce the need for data integration, and reduce the sharing of sensitive information with competitors. Besides the hybrid approach, neither of the extreme approaches can be unconditionally recommended for future balancing solutions. The GB-Flex SimulatorThe GB-Flex simulator enables the definition, simulation, and evaluation of several BGs/SBGs strategies leveraging both synthetic and real-world data 1 to mimic today's SBGs (including independent DSOs)...

show abstract

Section: Resultsmentioning

confidence: 99%

“…All our data sets are available on Zenodo [24,25]. The code is published on GitHub and archived on Zenodo [26,27,28].…”

Section: Fundingmentioning

confidence: 99%

Abstracts of the 11th DACH+ Conference on Energy Informatics

2022

Energy Inform

View full text Add to dashboard Cite

show abstract

“…Various studies have underscored the integral role of communication networks in modern smart grids [10], [11]. The robustness of these networks is key to smooth grid operations, interoperability among various components of the smart grid, quality service for grid applications, and secure power generation, transmission, and distribution.…”

Section: State Of the Artmentioning

confidence: 99%

“…The robustness of these networks is key to smooth grid operations, interoperability among various components of the smart grid, quality service for grid applications, and secure power generation, transmission, and distribution. The envisioned communication solutions must cope with the demanding needs of current and future applications, such as ultra-low delay in grid protection and control [10], [11].…”

Section: State Of the Artmentioning

confidence: 99%

Network Performance Analysis of Smart Grid Communications Over LTE cat-M

Dash,

Shah,

Malandra

2023

2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

View full text Add to dashboard Cite

Smart grid applications heavily rely on communication infrastructures that offer flexibility, scalability, and cost-effectiveness to enable bi-directional information exchange across geographically distributed grid elements. Wireless cellular networks, such as LTE cat-M, provide extensive coverage at a reduced cost, both in terms of installation and power consumption. This paper presents a multi-node testbed to assess the suitability of LTE cat-M technology for a variety of smart grid applications, with distributed nodes collecting and transmitting data at a variable rate, from 0.25 to 100 frames per second (fps). Based on field experiments, an extensive performance analysis is presented with Key Performance Indicators (KPIs), such as delay, jitter, and frame loss. The impact of the number of smart grid nodes and propagation quality are also considered in the analysis. Finally, a calibration method to optimize the packet transmission time is presented with a 33.91% delay reduction under different conditions.

show abstract

“…This degree of complexity is a substantial advance over outdated power networks and has the potential to significantly increase grid stability and reliability [24]. With a more adaptable, responsive, and sturdy infrastructure, SGs greatly reduce the likelihood of outages and extensive blackouts caused by aged power networks, ensuring a more reliable supply of electricity [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

The Research Agenda on Smart Grids: Foresights for Social Acceptance

Senyapar,

Bayindir

2023

Energies

View full text Add to dashboard Cite

The “smart grid” (SG) refers to an advanced electricity grid system that possesses the capability to effectively co-ordinate the activities of all its connected users, encompassing both energy producers and consumers, with the primary objective of ensuring the provision of a reliable, cost-effective, and environmentally sustainable electricity supply while also prioritizing security measures. Research on the adoption of SG technology holds significant academic value as it addresses the crucial issue of user resistance, which can impede or postpone the progress of SG initiatives. In this paper, bibliographic data obtained from Web of Science and Scopus documents on SGs are analyzed with two complementary methods of bibliometric and thematic analysis. The findings revealed that academic production in the field is in step with renewable energy use but tends to diminish. The authors, publications, and countries that shape the field have been identified. The in-depth thematic analysis uncovered that safety concerns, artificial intelligence, and electric vehicles are the main areas of study, and economic benefits are found to be more effective than environmental concerns in SG technology’s social adoption. Studies and policies on SGs should consider the shift in consumer and producer roles. By comprehensively examining the literature on the social aspects of SGs, which is an oft-neglected area, this study aimed to provide researchers and policymakers with fresh perspectives on how to expedite the adoption of this innovative technology, thereby facilitating the transition towards a sustainable, environmentally conscious, and fair energy system.

show abstract

Smart Grid Communication: Recent Trends and Challenges

Cited by 5 publications

References 30 publications

Abstracts of the 11th DACH+ Conference on Energy Informatics

Abstracts of the 11th DACH+ Conference on Energy Informatics

Network Performance Analysis of Smart Grid Communications Over LTE cat-M

The Research Agenda on Smart Grids: Foresights for Social Acceptance

Contact Info

Product

Resources

About