Synthesis of an intelligent rural village microgrid control strategy based on smartgrid multi-agent modelling and transactive energy management principles

Prinsloo, Gerro; Dobson, Robert T.; Mammoli, Andrea

doi:10.1016/j.energy.2018.01.056

Cited by 57 publications

(21 citation statements)

References 22 publications

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“…Finally, it can be observed that the SGAM is now also applied beyond Europe. Examples include application development for device management and control as well as system state monitoring for residential demand response ancillary services based on graph database modeling and high-availability web services in the USA [73], the development of an effective but efficient approach to risk assessments for Smart Grid projects in Australia [55] and modeling an off-grid rural village microgrid as a multi-agent nodal system and therefore formulating distributed market-based transactive control as a discrete-time system in South Africa/the USA [74].…”

Section: Further Projects Activities and Applicationsmentioning

confidence: 99%

Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective

et al. 2019

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The continuously increasing complexity of modern and sustainable power and energy systems leads to a wide range of solutions developed by industry and academia. To manage such complex system-of-systems, proper engineering and validation approaches, methods, concepts, and corresponding tools are necessary. The Smart Grid Architecture Model (SGAM), an approach that has been developed during the last couple of years, provides a very good and structured basis for the design, development, and validation of new solutions and technologies. This review therefore provides a comprehensive overview of the state-of-the-art and related work for the theory, distribution, and use of the aforementioned architectural concept. The article itself provides an overview of the overall method and introduces the theoretical fundamentals behind this approach. Its usage is demonstrated in several European and national research and development projects. Finally, an outlook about future trends, potential adaptations, and extensions is provided as well.

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Section: Further Projects Activities and Applicationsmentioning

confidence: 99%

Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective

et al. 2019

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“…In (10), M G denotes the number of MT units, ς n and R n, t MT represent the SR cost and the SR capacity of MT n, respectively. In (11), ζ n and ψ n are the consumption coefficients of MT n, U n, t and S n, t are binary variables which denote the operating status and start-stop of the nth MT, κ n is the start-stop cost, P n, t…”

Section: Img Operation Costmentioning

confidence: 99%

Incorporating energy storage and user experience in isolated microgrid dispatch using a multi‐objective model

Yang

Zhao

et al. 2019

IET Renewable Power Generation

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In order to coordinate multiple different scheduling objectives from the perspectives of economy, environment and users, a practical multi-objective dynamic optimal dispatch model incorporating energy storage and user experience is proposed for isolated microgrids. In this model, besides Microturbine units, energy storage is employed to provide spinning reserve services for microgirds; and furthermore, from the perspective of demand side management, a consumer satisfaction indicator is developed to measure the quality of user experience. A two-step solution methodology incorporating multi-objective optimization (MOO) and decision analysis is put forward to address this model. First, a powerful heuristic optimization algorithm, called the θ-dominance based evolutionary algorithm, is used to find a well-distributed set of Pareto-optimal solutions of the problem. And thereby, the best compromise solutions (BCSs) are identified from the entire solutions with the use of decision analysis by integrating fuzzy C-means clustering and grey relation projection. The simulation results on the modified Oak Ridge National Laboratory Distributed Energy Control and Communication lab microgrid test system demonstrate the effectiveness of the proposed approach.

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“…As a result, such locations are either powered by fossil fuel or remain without any power supply. The use of fossil fuels is nondesirable due to the vital concerns including rising price of fuel (ie, higher cost of power supply), rapid depletion of fossil fuel reserves 4 (ie, the long‐term sustainability in power supply is at risk), environmental pollution as the fossil fuel consumption emits a large amount of pollutants resulting in greenhouse effect, global warming, and acid rain 5 …”

Section: Introductionmentioning

confidence: 99%

“…The use of fossil fuels is nondesirable due to the vital concerns including rising price of fuel (ie, higher cost of power supply), rapid depletion of fossil fuel reserves 4 (ie, the long-term sustainability in power supply is at risk), environmental pollution as the fossil fuel consumption emits a large amount of pollutants resulting in greenhouse effect, global warming, and acid rain. 5 Under these circumstances, the proper utilization of the locally available renewable energy (RE) sources in remote areas can be a cost-effective solution for a desirable clean, inexhaustible, and environmentally friendly energy supply option. 6,7 Not only the remote areas of developing nations, worldwide the contribution of RE into the national energy mix is significant and well-recognized.…”

Section: Introductionmentioning

confidence: 99%

A review on pump‐hydro storage for renewable and hybrid energy systems applications

Das

Mustafi

et al. 2021

Energy Storage

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The integration of storage technologies into the hybrid energy system (HES) offers significant stability in delivering electricity to a remote community. In addition, the benefits of using storage devices for achieving high renewable energy (RE) contribution to the total energy supply are also paramount. The present study provides a detailed review on the utilization of pump‐hydro storage (PHS) related to the RE‐based stand‐alone and grid‐connected HESs. The PHS‐based HESs have been analyzed considering the technical details, including reliability, cost‐effectiveness, and environmental indicators. The optimization techniques are critically employed to the PHS‐based systems, including metaheuristics intelligent techniques, commercially available optimization and simulation tools, and recent advanced optimization tools. A comparative analysis of PHS integration to the stand‐alone and grid‐connected systems based on techno‐economic and environmental indicators over other storage technologies is also presented. The key technical and environmental challenges related to the PHS‐based HES are identified. Results from the recent research studies indicate that the PHS‐based HESs offer significant cost and environmental benefits over battery storage technologies. The study identifies that the particle swarm optimization is the mostly appreciated optimizing technique for cost‐effective energy supply and environmental aspects followed by hybrid optimization model for electric renewables and genetic algorithm.

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Synthesis of an intelligent rural village microgrid control strategy based on smartgrid multi-agent modelling and transactive energy management principles

Cited by 57 publications

References 22 publications

Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective

Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective

Incorporating energy storage and user experience in isolated microgrid dispatch using a multi‐objective model

A review on pump‐hydro storage for renewable and hybrid energy systems applications

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