Open Information Architecture for Seamless Integration of Renewable Energy Sources

Electric power systems are currently confronted with a fundamental paradigm change related to its planning and operation, mainly caused by the massive integration of renewables. To allow higher penetration of them within existing grid infrastructures, the “smart grid” makes more efficient use of existing resources by integrating appropriate information technologies. Utilising the benefits of such smart grids, it is necessary to develop new automation architectures and control strategies, as well as corresponding information and communication solutions. This makes it possible to effectively use and manage a large amount of dispersed generators and to utilise their “smart” capabilities. The scalability and openness of automation systems currently used by energy utilities have to be improved significantly for handling a high amount of distributed generators. This will be needed to meet the challenges of missing common and open interfaces, as well as the large number of different protocols. In the work at hand, these shortcomings have been tackled by a conceptual solution for open and interoperable information exchange and engineering of automation applications. The approach is characterised by remote controllable services, a generic communication concept, and a formal application modelling method for distributed energy resource components. Additionally, the specification of an access management scheme for distributed energy resources, taking into account different user roles in the smart grid, allowed for a fine-grained distinction of access rights for use cases and actors. As a concrete result of this work, a generic and open communication underlay for smart grid components was developed, providing a flexible and adaptable infrastructure and supporting future smart grid requirements and roll-out. A proof-of-concept validation of the remote controllable service concept based on this infrastructure has been conducted in appropriate laboratory environments to confirm the main benefits of this approach.

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FLEXGRID – A novel smart grid architecture that facilitates high-RES penetration through innovative flexibility markets towards efficient stakeholder interaction

Open Research Europe ◽

10.12688/openreseurope.14109.1 ◽

2021 ◽

Vol 1 ◽

pp. 128

Author(s):

Nikolaos Efthymiopoulos ◽

Prodromos Makris ◽

Georgios Tsaousoglou ◽

Konstantinos Steriotis ◽

Dimitrios J. Vergados ◽

...

Keyword(s):

Smart Grid ◽

Distribution System ◽

Smart Grids ◽

Large Scale ◽

Renewable Energy Sources ◽

Market Liquidity ◽

Level Energy ◽

Intelligent Network ◽

Distributed Energy ◽

Electricity System

The FLEXGRID project develops a digital platform designed to offer Digital Energy Services (DESs) that facilitate energy sector stakeholders (i.e. Distribution System Operators - DSOs, Transmission System Operators - TSOs, market operators, Renewable Energy Sources - RES producers, retailers, flexibility aggregators) towards: i) automating and optimizing the planning and operation/management of their systems/assets, and ii) interacting in a dynamic and efficient way with their environment (electricity system) and the rest of the stakeholders. In this way, FLEXGRID envisages secure, sustainable, competitive, and affordable smart grids. A key objective is the incentivization of large-scale bottom-up investments in Distributed Energy Resources (DERs) through innovative smart grid management. Towards this goal, FLEXGRID develops innovative data models and energy market architectures (with high liquidity and efficiency) that effectively manage smart grids through an advanced TSO-DSO interaction as well as interactions between Transmission Network and Distribution Network level energy markets. Consequently, and through intelligence that exploits the innovation of the proposed market architecture, FLEXGRID develops investment tools able to examine in depth the emerging energy ecosystem and allow in this way: i) the financial sustainability of DER investors, and ii) the market liquidity/efficiency through advanced exploitation of DERs and intelligent network upgrades.

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Economic and environmental aspects of Smart Grid technologies implementation in Ukraine

Mechanism of an economic regulation ◽

10.21272/mer.2020.87.01 ◽

2020 ◽

pp. 28-37

Author(s):

Oleksandra V. Kubatko ◽

Diana O. Yaryomenko ◽

Mykola O. Kharchenko ◽

Ismail Y. A. Almashaqbeh

Keyword(s):

Smart Grid ◽

Environmental Sustainability ◽

Distribution System ◽

Energy Security ◽

Smart Grids ◽

Renewable Energy Sources ◽

Average Energy ◽

Time Of Day ◽

Electricity Supply ◽

Auxiliary Equipment

Interruptions in electricity supply may have a series of failures that can affect banking, telecommunications, traffic, and safety sectors. Due to the two-way interactive abilities, Smart Grid allows consumers to automatically redirect on failure, or shut down of the equipment. Smart Grid technologies are the costly ones; however, due to the mitigation of possible problems, they are economically sound. Smart grids can't operate without smart meters, which may easily transmit real-time power consumption data to energy data centers, helping the consumer to make effective decisions about how much energy to use and at what time of day. Smart Grid meters do allow the consumer to track and reduce energy consumption bills during peak hours and increase the corresponding consumption during minimum hours. At a higher level of management (e.g., on the level of separate region or country), the Smart Grid distribution system operators have the opportunity to increase the reliability of power supply primarily by detecting or preventing emergencies. Ukraine's energy system is currently outdated and cannot withstand current loads. High levels of wear of the main and auxiliary equipment of the power system and uneven load distribution in the network often lead to emergencies and power outages. The Smart Grid achievements and energy sustainability are also related to the energy trilemma, which consists of key core dimensions– Energy Security, Energy Equity, and Environmental Sustainability. To be competitive in the world energy market, the country has to organize efficiently the cooperation of public/private actors, governments, economic and social agents, environmental issues, and individual consumer behaviors. Ukraine gained 61 positions out of 128 countries in a list in 2019 on the energy trilemma index. In general, Ukraine has a higher than average energy security position and lower than average energy equity, and environmental sustainability positions. Given the fact that the number of renewable energy sources is measured in hundreds and thousands, network management is complicated and requires a Smart Grid rapid response. Keywords: economic development, Smart Grid, electricity supply, economic and environmental efficiency.

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Global Trends in the Political Economy of Smart Grids

10.1093/oso/9780198802242.003.0017 ◽

2017 ◽

Cited By ~ 2

Author(s):

Cherrelle Eid ◽

Rudi Hakvoort ◽

Martin de Jong

Keyword(s):

Smart Grid ◽

Smart Grids ◽

The United States ◽

Industry Structure ◽

Electricity Sector ◽

Distributed Energy ◽

Global Trends ◽

Political Economic ◽

Regulatory Models ◽

Global Transition

The global transition towards sustainable, secure, and affordable electricity supply is driving changes in the consumption, production, and transportation of electricity. This chapter provides an overview of three main causes of political–economic tensions with smart grids in the United States, Europe, and China, namely industry structure, regulatory models, and the impact of energy policy. In all cases, the developments are motivated by the possible improvements in reliability and affordability yielded by smart grids, while sustainability of the electricity sector is not a central motivation. A holistic smart grid vision would open up possibilities for better integration of distributed energy resources. The authors recommend that smart grid investments should remain outside of the regulatory framework for utilities and distribution service operators in order to allow for such developments.

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Integration and control of lithium-ion BESSs for active network management in smart grids: Sundom smart grid backup feeding case

Electrical Engineering ◽

10.1007/s00202-021-01311-8 ◽

2021 ◽

Author(s):

Chethan Parthasarathy ◽

Hossein Hafezi ◽

Hannu Laaksonen

Keyword(s):

Smart Grid ◽

Network Management ◽

Smart Grids ◽

Reactive Power ◽

Renewable Energy Sources ◽

Lithium Ion ◽

Active Network ◽

Li Ion ◽

Grid Side ◽

And Control

AbstractLithium-ion battery energy storage systems (Li-ion BESS), due to their capability in providing both active and reactive power services, act as a bridging technology for efficient implementation of active network management (ANM) schemes for land-based grid applications. Due to higher integration of intermittent renewable energy sources in the distribution system, transient instability may induce power quality issues, mainly in terms of voltage fluctuations. In such situations, ANM schemes in the power network are a possible solution to maintain operation limits defined by grid codes. However, to implement ANM schemes effectively, integration and control of highly flexible Li-ion BESS play an important role, considering their performance characteristics and economics. Hence, in this paper, an energy management system (EMS) has been developed for implementing the ANM scheme, particularly focusing on the integration design of Li-ion BESS and the controllers managing them. Developed ANM scheme has been utilized to mitigate MV network issues (i.e. voltage stability and adherence to reactive power window). The efficiency of Li-ion BESS integration methodology, performance of the EMS controllers to implement ANM scheme and the effect of such ANM schemes on integration of Li-ion BESS, i.e. control of its grid-side converter (considering operation states and characteristics of the Li-ion BESS) and their coordination with the grid side controllers have been validated by means of simulation studies in the Sundom smart grid network, Vaasa, Finland.

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A Comprehensive Survey on Cyber-Physical Smart Grid Testbed Architectures: Requirements and Challenges

Electronics ◽

10.3390/electronics10091043 ◽

2021 ◽

Vol 10 (9) ◽

pp. 1043

Author(s):

Abdallah A. Smadi ◽

Babatunde Tobi Ajao ◽

Brian K. Johnson ◽

Hangtian Lei ◽

Yacine Chakhchoukh ◽

...

Keyword(s):

Smart Grid ◽

Real Time ◽

Smart Grids ◽

Data Exchange ◽

Information Technologies ◽

New Technologies ◽

Rapid Development ◽

Environmental Benefits ◽

Future Research ◽

Time Data

The integration of improved control techniques with advanced information technologies enables the rapid development of smart grids. The necessity of having an efficient, reliable, and flexible communication infrastructure is achieved by enabling real-time data exchange between numerous intelligent and traditional electrical grid elements. The performance and efficiency of the power grid are enhanced with the incorporation of communication networks, intelligent automation, advanced sensors, and information technologies. Although smart grid technologies bring about valuable economic, social, and environmental benefits, testing the combination of heterogeneous and co-existing Cyber-Physical-Smart Grids (CP-SGs) with conventional technologies presents many challenges. The examination for both hardware and software components of the Smart Grid (SG) system is essential prior to the deployment in real-time systems. This can take place by developing a prototype to mimic the real operational circumstances with adequate configurations and precision. Therefore, it is essential to summarize state-of-the-art technologies of industrial control system testbeds and evaluate new technologies and vulnerabilities with the motivation of stimulating discoveries and designs. In this paper, a comprehensive review of the advancement of CP-SGs with their corresponding testbeds including diverse testing paradigms has been performed. In particular, we broadly discuss CP-SG testbed architectures along with the associated functions and main vulnerabilities. The testbed requirements, constraints, and applications are also discussed. Finally, the trends and future research directions are highlighted and specified.

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Analiza potencijala za uvođenje sistema pametnih mreža u Bosni i Hercegovini

Energija, Ekonomija, Ekologija ◽

10.46793/eee21-3.61i ◽

2021 ◽

Vol 23 (3) ◽

pp. 61-65

Author(s):

Jasmina Imamović ◽

Sanda Midžić Kurtagić ◽

Esma Manić ◽

Keyword(s):

Renewable Energy ◽

Smart Grid ◽

Technological Development ◽

Energy Resource ◽

Electricity Consumption ◽

Policy Framework ◽

Distributed Energy ◽

Smart Meters ◽

Distributed Energy Resource ◽

Charging Stations

The paper presents an analysis of the current situation regarding the development of an electricity distribution network and potential for a smart grid development in the selected pilot region of Bosnia and Herzegovina. Apart from the policy framework assessment, several indicator based criteria were included in the scope of analysis: share of renewable energy and renewable energy as distributed energy resource, total share of distributed energy resources, a number of installed smart meters for measuring electricity consumption, a number of charging stations for electric vehicles, energy storage capacities and technological development. The overall analysis of the assessment has been done by normalization of the calculated values of the indicators on a scale of 1-5. The indicators have showed that the smart grid sector in the Region is currently underdeveloped.

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An Effectiveness Modelling Approach for IoT-Based Smart Grids

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Design, Applications, and Maintenance of Cyber-Physical Systems ◽

10.4018/978-1-7998-6721-0.ch005 ◽

2021 ◽

pp. 92-111

Author(s):

Dongming Fan ◽

Yi Ren ◽

Qiang Feng

Keyword(s):

Smart Grid ◽

Smart Grids ◽

Information Technologies ◽

Self Healing ◽

New Paradigm ◽

Agent Based ◽

Efficient Energy ◽

Real Time Analysis ◽

Multi Agent

The smart grid is a new paradigm that enables highly efficient energy production, transport, and consumption along the whole chain from the source to the user. The smart grid is the combination of classical power grid with emerging communication and information technologies. IoT-based smart grid will be one of the largest instantiations of the IoT in the future. The effectiveness of IoT-based smart grid is mainly reflected in observability, real-time analysis, decision-making, and self-healing. A proper effectiveness modeling approach should maintain the reliability and maintainability of IoT-based smart grids. In this chapter, a multi-agent-based approach is proposed to model the architecture of IoT-based smart grids. Based on the agent framework, certain common types of agents are provided to describe the operation and restoration process of smart grids. A case study is demonstrated to model an IoT-based smart grid with restoration, and the interactive process with agents is proposed simultaneously.

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A Methodology for Dependability Evaluation of Smart Grids

Energies ◽

10.3390/en12091817 ◽

2019 ◽

Vol 12 (9) ◽

pp. 1817 ◽

Cited By ~ 1

Author(s):

Gisliany Alves ◽

Danielle Marques ◽

Ivanovitch Silva ◽

Luiz Affonso Guedes ◽

Maria da Guia da Silva

Keyword(s):

Smart Grid ◽

Power Systems ◽

Information And Communication Technologies ◽

Power Distribution ◽

Smart Grids ◽

Low Voltage ◽

Hierarchical Topology ◽

Automation Systems ◽

Dependability Evaluation ◽

Information And Communication

Smart grids are a new trend in electric power distribution, which has been guiding the digitization of electric ecosystems. These smart networks are continually being introduced in order to improve the dependability (reliability, availability) and efficiency of power grid systems. However, smart grids are often complex, composed of heterogeneous components (intelligent automation systems, Information and Communication Technologies (ICT) control systems, power systems, smart metering systems, and others). Additionally, they are organized under a hierarchical topology infrastructure demanded by priority-based services, resulting in a costly modeling and evaluation of their dependability requirements. This work explores smart grid modeling as a graph in order to propose a methodology for dependability evaluation. The methodology is based on Fault Tree formalism, where the top event is generated automatically and encompasses the hierarchical infrastructure, redundant features, load priorities, and failure and repair distribution rates of all components of a smart grid. The methodology is suitable to be applied in early design stages, making possible to evaluate instantaneous and average measurements of reliability and availability, as well as to identify eventual critical regions and components of smart grid. The study of a specific use-case of low-voltage distribution network is used for validation purposes.

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Stochastic Mixed-Integer Programming (SMIP)-Based Distributed Energy Resource Allocation Method for Virtual Power Plants

Energies ◽

10.3390/en13010067 ◽

2019 ◽

Vol 13 (1) ◽

pp. 67

Author(s):

Rakkyung Ko ◽

Sung-Kwan Joo

Keyword(s):

Renewable Energy ◽

Power Plants ◽

Renewable Energy Sources ◽

Energy Resource ◽

Mixed Integer ◽

Virtual Power ◽

Distributed Energy ◽

Distributed Energy Resource ◽

Stochastic Mixed Integer Programming ◽

Virtual Power Plants

Virtual power plants (VPPs) have been widely researched to handle the unpredictability and variable nature of renewable energy sources. The distributed energy resources are aggregated to form into a virtual power plant and operate as a single generator from the perspective of a system operator. Power system operators often utilize the incentives to operate virtual power plants in desired ways. To maximize the revenue of virtual power plant operators, including its incentives, an optimal portfolio needs to be identified, because each renewable energy source has a different generation pattern. This study proposes a stochastic mixed-integer programming based distributed energy resource allocation method. The proposed method attempts to maximize the revenue of VPP operators considering market incentives. Furthermore, the uncertainty in the generation pattern of renewable energy sources is considered by the stochastic approach. Numerical results show the effectiveness of the proposed method.

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