A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids

Karavas, Christos-Spyridon; Kyriakarakos, George; Arvanitis, Konstantinos G.; Papadakis, G.

doi:10.1016/j.enconman.2015.06.021

Cited by 267 publications

(136 citation statements)

References 51 publications

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“…Detailed information and implementation of genetic algorithm can be found in [45] . Direct particle swarm is utilized in [46,47] for economic dispatch.…”

Section: Economic Dispatchmentioning

confidence: 99%

A Review on Multi-Agent Technology in Micro-Grid Control

Ding

Yin

2018

Electron Sci Technol Appl

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Micro-Grid (MG) integrates renewable generation, storage devices and controllable generations, it provides efficent utilization of clean energy while keeping stable external characteristics. Capability of continuous power supply, high scalability and flexible operation modes can satifiy the current demand of joint operation of renewable generation and Macro-Grid, and will provide a solid foundation for smart grid technology in the future. Thus, MG is an excellent integration of renewable energy utilization with a bright future, Multi-Agent System (MAS) is a new hierarchical control platform and can completely cover all the devices within a MG, its flexible control modes meet the needs of various operations of MG, and the capability of distributed computing supports intelligent functions of MG in the future. Therefore, developing premium functions for MAS in MG control will promote the development of both MG and Smart Grid technologies. This paper reviews the current applications of MAS technology for MG both in basic and advanced control demands. For basic demands concerning safe operations for MG, functions of MAS are available, but a further improvement of performance is essential for future researches to increase penetration of MAS in MG control; For advanced demands, MAS should increase calculation speed to meet the complex need of MG. In the last part, the future focuses are also depicted.

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“…Detailed information and implementation of genetic algorithm can be found in [45] . Direct particle swarm is utilized in [46,47] for economic dispatch.…”

Section: Economic Dispatchmentioning

confidence: 99%

A Review on Multi-Agent Technology in Micro-Grid Control

Ding

Yin

2018

Electron Sci Technol Appl

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“…Droop control also could be applied to regulate AC system voltage by changing the reactive power output as given in Equation (2), where Q ac is the reactive power produced by the droop control with droop characteristic R q,ac , while V ac is the measured AC voltage. V min,ac is the minimum allowable voltage and Q max,ac is the maximum reactive power of the AC droop control scheme.…”

Section: Droop Control Of Ac Microgridmentioning

confidence: 99%

“…Efficient managing and coordinating the operation of the available resources in microgrids can provide several benefits from the viewpoint of economy and system performance. For instance, in [2] a decentralized energy management system is designed for autonomous polygeneration microgrids using the intelligent multi-agent systems, and in [3] an integrated framework of agent-based modelling and robust optimization is proposed, where both energy management systems show improvements in financial and operational terms.…”

Section: Introductionmentioning

confidence: 99%

Interlink Converter with Linear Quadratic Regulator Based Current Control for Hybrid AC/DC Microgrid

2017

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A hybrid alternate current/direct current (AC/DC) microgrid consists of an AC subgrid and a DC subgrid, and the subgrids are connected through the interlink bidirectional AC/DC converter. In the stand-alone operation mode, it is desirable that the interlink bidirectional AC/DC converter manages proportional power sharing between the subgrids by transferring power from the under-loaded subgrid to the over-loaded one. In terms of system security, the interlink bidirectional AC/DC converter takes an important role, so proper control strategies need to be established. In addition, it is assumed that a battery energy storage system is installed in one subgrid, and the coordinated control of interlink bidirectional AC/DC converter and battery energy storage system converter is required so that the power sharing scheme between subgrids becomes more efficient. For the purpose of designing a tracking controller for the power sharing by interlink bidirectional AC/DC converter in a hybrid AC/DC microgrid, a droop control method generates a power reference for interlink bidirectional AC/DC converter based on the deviation of the system frequency and voltages first and then interlink bidirectional AC/DC converter needs to transfer the power reference to the over-loaded subgrid. For efficiency of this power transferring, a linear quadratic regulator with exponential weighting for the current regulation of interlink bidirectional AC/DC converter is designed in such a way that the resulting microgrid can operate robustly against various uncertainties and the power sharing is carried out quickly. Simulation results show that the proposed interlink bidirectional AC/DC converter control strategy provides robust and efficient power sharing scheme between the subgrids without deteriorating the secure system operation.

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“…A robust optimization approach for optimal microgrid management considering wind power uncertainty is presented in [14], in which a time-series based autoregressive integrated moving average model is used to characterize the wind power uncertainty through interval forecasting. A decentralized EMS for microgrids is described in [15], based on a multi-agent system, and a, centralized EMS is compared with the proposed decentralized EMS.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective energy management system for DC microgrids based on the maximum membership degree principle

Wang

Meng

et al. 2017

J. Mod. Power Syst. Clean Energy

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With the increasing quantity of DC electrical equipment, DC microgrids have been paid more and more attention. This paper proposes an approach to multi-objective optimisation of an energy management system (EMS) for a DC microgrid that includes a hybrid energy storage system (HESS). The operating and maintenance cost and the loss of power supply probability (LPSP) of the system are used as optimisation targets. The power flows of all distributed generators (DGs) in the DC microgrid during operating period are optimized. Based on the improved differential evolution (DE) algorithm, and by using the multi-objective non-dominated sorting method and the maximum membership degree principle (MMDP) of fuzzy control, the overall satisfaction degree of Pareto solutions to power flow optimization can be obtained. Simulation results verify the effectiveness of the proposed EMS optimization scheme, which is able to achieve an effective trade-off between the economy and the reliability of microgrid operation.

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A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids

Cited by 267 publications

References 51 publications

A Review on Multi-Agent Technology in Micro-Grid Control

A Review on Multi-Agent Technology in Micro-Grid Control

Interlink Converter with Linear Quadratic Regulator Based Current Control for Hybrid AC/DC Microgrid

Multi-objective energy management system for DC microgrids based on the maximum membership degree principle

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