Energy Routing Challenges and Protocols in Energy Internet: A Survey

Hebal, Sara; Harous, Saad; Mechta, Djamila

doi:10.1007/s42835-021-00789-3

Cited by 16 publications

(4 citation statements)

References 46 publications

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“…A more recent problem associated with distributed open-access energy markets, and the concept of an Internet of Energy (EI), is that of energy routing. Examples of energy routing protocols based on graph theory, agent-based consensus, and game theory can be found in [104]. A recent example of D-MPC for voltage control along radial distribution feeders can be found in [105].…”

Section: Distributed Model Predictive Control (D-mpc)mentioning

confidence: 99%

“…Addressing all of the possible power quality problems that can arise in DERs can be framed as a complex multi-objective optimisation. In this regard, several authors have proposed hierarchical control schemes based on advanced algorithms for constrained optimisation, such as genetic algorithms (GAs) [6, [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][91][92][93][94][95][96][98][99][100][101][102][103][104][105][106][107][108][109][110]. However, these are computationally intensive methods that require input data such as line and load parameters, inverter specifications, and information on the constraints and operating costs.…”

Section: Management Of Power Quality Problems (Pq Control)mentioning

confidence: 99%

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DER Control and Management Strategies for Distribution Networks: A Review of Current Practices and Future Directions

Smith,

Robinson,

Elphick

2024

Energies

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It is widely recognised that improving the visibility and controllability of distributed energy resources (DERs) within electricity distribution networks will have significant benefits, particularly for the management of low-voltage (LV) and medium-voltage (MV) networks. Much work within the electricity distribution industry is currently focused on improving the visibility of DERs on LV networks. From a control-theoretic perspective, this enables closing the loop between the DER and the control room and enables a shift towards utilising data-driven model-based control strategies for DERs. The result is a system-wide performance that is closer to the theoretical optimal. In the Australian context, several jurisdictions are trialling techniques such as dynamic operating envelopes to enhance DER hosting capacity, using IEEE 2030.5-based architectures, with the implementation of distributed energy resource management (DERMS) systems at the enterprise level still quite limited. While there is significant activity focused on DER behaviour and control techniques by way of inverter grid codes and standards, the core issue of interoperability with distribution management systems (DMSs), market operators or participants, electric vehicles (EVs) or other DERs is still a work in progress. Importantly, this is also an impediment to realising distributed architectures for DER control in the grid. The unique characteristics of Australian distribution networks highlights several challenging problems for DER control and management. The objective of this paper is to provide a broad overview of DER control and management strategies in the Australian context, with an application focus on DER control in distribution network management.

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Section: Distributed Model Predictive Control (D-mpc)mentioning

confidence: 99%

Section: Management Of Power Quality Problems (Pq Control)mentioning

confidence: 99%

DER Control and Management Strategies for Distribution Networks: A Review of Current Practices and Future Directions

Smith,

Robinson,

Elphick

2024

Energies

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“…This transformation enables the seamless integration of diverse energy sources, efficient energy management, and enhanced control and coordination capabilities [21][22][23][24]. By leveraging AI technologies, such as advanced control algorithms, predictive analytics, and intelligent decision-making systems, the energy internet can achieve optimal energy utilization, facilitate energy exchange, and contribute to the development of a sustainable and resilient energy landscape [25,26].…”

Section: Literature Reviewmentioning

confidence: 99%

Harnessing the Power of Artificial Intelligence for Collaborative Energy Optimization Platforms

Stecyk,

Miciuła

2023

Energies

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This scientific paper highlights the critical significance of energy in driving sustainable development and explores the transformative potential of Artificial Intelligence (AI) tools in shaping the future of energy systems. As the world faces mounting challenges in meeting growing energy demands while minimizing environmental impact, there is a pressing need for innovative solutions that can optimize energy generation, distribution, and consumption. AI tools, with their ability to analyse vast amounts of data and make intelligent decisions, have emerged as a promising avenue for advancing energy systems towards greater efficiency, reliability, and sustainability. This paper underscores the importance of energy in sustainable development and investigates how AI tools can catalyse the next phase of human civilization. This paper presents a comprehensive review of the Collaborative Energy Optimization Platform (CEOP), an innovative model that utilizes AI algorithms in an integrated manner. The review of the CEOP model is based on an in-depth analysis of existing literature, research papers, and industry reports. The methodology encompasses a systematic review of the model’s key features, including collaboration, data-sharing, and AI algorithm integration. The conducted research demonstrates the effectiveness of applying MCDM methods, specifically fuzzy AHP and TOPSIS, in evaluating and ranking the performance of five Collaborative Energy Optimization Platforms (CEOP models) across 20 sub-criteria. The findings emphasize the need for a comprehensive and holistic approach in assessing AI-based energy optimization systems. The research provides valuable insights for decision-makers and researchers in the field, fostering the development and implementation of more efficient and sustainable AI-powered energy systems.

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“…An analysis of the publications devoted to EI showed that most articles are reviews. The works are dedicated to the features of EI [4], [5], the EI architecture [1], [5], information and communication technologies (ICT) application in EI [1], [6], [7], the key equipment of EI [4], [8], technologies and applications of EI Blockchain [9] and some other issues. The main problems associated with the creation of an internet-style electrical network concerning the architecture, control system, power equipment, are considered conceptually.…”

Section: Introductionmentioning

confidence: 99%

The effect of the thyristor energy router on harmonics

Sosnina

Bedretdinov

Kryukov

2023

IJPEDS

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Energy routers (ER) are the key equipment of the energy internet that provides control over bidirectional power flows and the voltage level of an electric network. The paper presents the thyristor-powered ER (TER) for an Internet-style medium voltage distribution electric network (6, 10, 20 kV). The developed scheme of the device implements longitudinal and transverse voltage regulation at the ER connection point and it allows changing the power flow and the voltage level in the network. The article is devoted to the study of the harmonic components of voltage introduced into the electrical network by the semiconductor elements of the TER. A mathematical and a computer model and a prototype of an electric network section with a TER have been developed. The studies carried out with the help of the developed models have shown that the device does not significantly distort sinusoidally. The harmonic components factor of the output voltage has acceptable values over the entire range of an effective regulation.

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Energy Routing Challenges and Protocols in Energy Internet: A Survey

Cited by 16 publications

References 46 publications

DER Control and Management Strategies for Distribution Networks: A Review of Current Practices and Future Directions

DER Control and Management Strategies for Distribution Networks: A Review of Current Practices and Future Directions

Harnessing the Power of Artificial Intelligence for Collaborative Energy Optimization Platforms

The effect of the thyristor energy router on harmonics

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