Hierarchical smart energy management strategy based on cooperative distributed economic model predictive control for
            <scp>multi‐microgrids</scp>
            systems

Brahmia, Ibrahim; Wang, Jingcheng; Oliveira, Luca; Xu, Haotian

doi:10.1002/2050-7038.12732

Cited by 5 publications

(4 citation statements)

References 59 publications

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“…The results demonstrate the suggested method's suitable performance. Brahmia et al 30 develop a smart energy dispatch for multi-MGs systems using cooperative distributed economic MPC (DEMPC). A DEMPC coordinator calculates the best energy dispatch solution by considering the energy excess with a power-sharing policy, the electricity market price based on the TOU, and the distributed generating units.…”

Section: Literature Survey Of Open-loop Emsmentioning

confidence: 99%

Toward an intelligent community microgrid energy management system based on optimal control schemes

Azaroual

Mbungu

Ouassaid

et al. 2022

Intl J of Energy Research

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This article investigates a modelization of the energy management strategy of a grid-tied photovoltaic (PV), wind generator, and battery system. The model uses a smart metering system to collect data from various electrical components of a microgrid. The power optimization strategy is modeled under demand response, including time-of-use pricing to create a home's energy flow more efficiently. Two optimal control strategies are developed to coordinate

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Section: Literature Survey Of Open-loop Emsmentioning

confidence: 99%

Toward an intelligent community microgrid energy management system based on optimal control schemes

Azaroual

Mbungu

Ouassaid

et al. 2022

Intl J of Energy Research

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“…e IC information is selected as the consistency variable, and the local controller of DGi updates the reference power P ref i according to (15). In addition, the system frequency is stabilized based on (16).…”

Section: Secondary Frequency Modulation and Power Optimization Controlmentioning

confidence: 99%

“…In References [15,16], a smart energy dispatching method based on distributed economic cooperative predictive control is proposed. In References [17][18][19], a pilot distributed follower decentralized control strategy for islanded microgrids is proposed, which realizes economic dispatch while ensuring voltage quality and frequency synchronization.…”

Section: Introductionmentioning

confidence: 99%

A Consensus-Based Distributed Two-Layer Control Strategy with Predictive Compensation for Islanded Microgrid CPS against DoS Attack

Liu

Hou

Yang³

et al. 2022

International Transactions on Electrical Energy Systems

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Summary.Aiming at the problems of insufficient scalability and slow response speed of the traditional three-layer control structure based on the time scale, this study proposes a distributed two-layer control structure. The primary control uses traditional power-frequency droop control, and the second-level control adopts a consensus protocol to simultaneously achieve the goals of frequency synchronization, frequency non-difference, and power optimization in a distributed manner, which can effectively improve the performance of microgrid frequency adjustment and power optimization. The cyber layer of the AC microgrid cyber-physical system (CPS) is extremely vulnerable to denial-of-service (DoS) attacks, resulting in the inability to achieve control objectives. For this reason, this paper designs a consensus algorithm based on event-triggered and a predictive compensation control link that combines empirical mode decomposition (EMD) and extreme learning machine (ELM) on the basis of the two-layer control structure. Finally, a 4-node islanded microgrid simulation example is used to verify the effectiveness of the proposed strategy. The simulation results show that the two-layer control strategy can achieve microgrid frequency recovery and power optimization while effectively responding to different degrees of DoS attacks.

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“…To equalize the difference in the grid, it is need to increase electricity consumption at night. That is why one of the most necessary elements in the Smart Grid is an energy storage device that can receive energy at night and emit it during the day, thus equalizing the load drops in the power grid [8,9].…”

Section: Development Of Smart Grid Technology In the Worldmentioning

confidence: 99%

Possibility Implementation Analysis of the Smart Grid Network in a Current State Conditions of the United Energy Systems of Ukraine

Pliuhin

Teterev

2021

LEPE

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The paper analyzes the current state of the energy system of Ukraine and the efficiency of generation and transmission of electricity. The analysis of the best world practices shows that the active development of modern technologies of energy accounting allows: to bring to a fundamentally new level the quality of data collection and analysis of consumers’ energy consumption; increases the efficiency of operational management of energy assets; promotes the active involvement of energy consumers in the processes of regulating their own energy consumption. Ukraine's energy system has been in operation for quite a long time, and it is difficult for it to withstand the load of modern times. The high level of wear of the main and auxiliary equipment of the power system and the uneven distribution of load in the network often lead to emergencies and power outages to consumers. Undoubtedly, increasing the efficiency of electricitygeneration and supply is an important and urgent task for Ukraine's energy sector. One of the modern and innovative concepts that can significantly affect the quality of electricity transmission is Smart Grid technology. This technology and its capabilities are not new. But the problems that accompany the widespread introduction of Smart Grid in the energy market of Ukraine do not have an unambiguous and effective solution. In this regard, this paper proposes to consider and discuss several scenarios for the implementation of Smart Grid in Ukraine, with an overview of their advantages and disadvantages. In particular, this is a scenario of monitoring and point-by-point implementation of certain Smart Grid technologies; scenario of development of existing and creation of new competencies in the field of Smart Grid; scenario of development and re-implementation of a comprehensive national program of innovative development of electric power on the basis of the Smart Grid concept. The ways of mathematical formulation of the Smart Grid optimization problem using the Data Science approach based on the machine learning system and neural networks are determined separately. These include Big Data processing methods, Data Mining, statistical methods, artificial intelligence methods, and Machine Learning. Data Science includes methods of designing and developing databases and application software. The main practical purpose of the scientist's work is to extract useful information for business from large arrays of information, identify patterns, develop and test hypotheses by modeling and developing new software, and therefore are necessary and sufficient conditions for theoretical justification of practical implementation of Smart Grid in Ukraine.

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Hierarchical smart energy management strategy based on cooperative distributed economic model predictive control for multi‐microgrids systems

Cited by 5 publications

References 59 publications

Toward an intelligent community microgrid energy management system based on optimal control schemes

Toward an intelligent community microgrid energy management system based on optimal control schemes

A Consensus-Based Distributed Two-Layer Control Strategy with Predictive Compensation for Islanded Microgrid CPS against DoS Attack

Possibility Implementation Analysis of the Smart Grid Network in a Current State Conditions of the United Energy Systems of Ukraine

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