Optimal Operation of Microgrids Considering Auto-Configuration Function Using Multiagent System

Bui, Van-Hai; Hussain, Akhtar; Kim, Hak-Man

doi:10.3390/en10101484

Cited by 30 publications

(21 citation statements)

References 29 publications

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“…Meanwhile, regarding electricity generation systems, S. Ahmad et al and T. Ou et al performed research under the title of 'Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia' and 'Dynamic operation and control of microgrid hybrid power systems', respectively [15,16]. Other interesting works include 'Design of a novel voltage controller for conversion of carbon dioxide into clean fuels using the integration of a vanadium redox battery with solar energy' (T. Ou) [17], 'Optimal operation of microgrids considering auto-configuration function using multiagent system' (Van-Hai Bui et al) [18], 'A novel unsymmetrical faults analysis for microgrid distribution systems' (T. Ou) [19], and 'Contribution-based energy-trading mechanism in microgrids for future smart grid: A game theoretic approach' (S. Park et al) [20].…”

Section: Background Knowledgementioning

confidence: 99%

The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies

Kim

2019

Sustainability

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Efficient information flow in an intelligent system is vital for effectively controlling the entire system. Currently, intelligent systems are used in many industries related to energy production, sustainable agriculture/transport, and intelligent building/cities. Information technology (IT) and information and communication technologies (ICT) play vital roles in introducing technical or technological innovation in these industries as well as establishing a collaborative network. Also, the digitization of existing systems has been quite effective at creating a sustainable global environment as it allows more efficient and well-balanced control of socio-economic factors. However, it has become clear that adopting an intelligent system to achieve innovation, sustainability, and safety may well depend on the quality of the algorithms to be used for that very system. Despite recent controversies, new and renewable energies are considered as a realistic alternative to fossil fuels, which have been integral to modern industries but are regarded as a cause of environmental or economic problems, not to mention their limited deposits. Therefore, since renewable energies will gradually replace existing energy sources but require more time to be fully available, it is essential to find a method of managing them in a fair and transparent way. The United States, Japan, and some European countries are attempting to achieve such a goal by utilizing a blockchain system, but the issues pertaining to its functionality, security, or efficiency have yet to be addressed. This study introduces a viable consensus algorithm (Hyper Delegation Proof of Randomness, or HDPoR algorithm) for blockchain and attempts to validate its parallel computing capability through simulations. This study also attempts to design an efficient but secure peer-to-peer (P2P) transaction service model for these energies for the future where blockchain-based systems will hold a key position in the digitalized world. As its main contribution, this study introduces an effective method of applying blockchain to a new and renewable energy transaction system by presenting a consensus algorithm that can improve its infrastructure and performance.

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Section: Background Knowledgementioning

confidence: 99%

The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies

Kim

2019

Sustainability

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“…In addition, several studies on microgrids about demand response (DR), auto-configuration, fault analysis, and control are also available in the literature. Optimal operation of microgrids considering DR and auto-configuration function are studied based on multi-agent system (MAS) in [7,8], respectively. In [9], unsymmetrical faults of microgrids are studied based on definite two relationship matrices.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

et al. 2018

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In this paper, an optimal energy management scheme for building microgrids with rooftop greenhouse is proposed. A building energy management system (BEMS) is utilized for the optimal fulfilment of energy demands in the building and the greenhouse. The exhaust heat generated due to the operation of air conditioners in the building is used for fulfilling the cooling demands of the greenhouse via chillers. In addition to thermal and cooling demands, the four major control parameters (temperature, humidity, light intensity, and CO 2 concentration) are also considered for optimal growth of crops in the greenhouse. A multi-agent system (MAS) is adopted to realize the interaction among several households of the building, the greenhouse, and the BEMS. The MAS comprises of several inner-level, intermediate level, and upper-level agents, which are responsible for their respective tasks. The performance of the proposed optimization strategy is evaluated for two seasons of a year, i.e., summer and winter. Numerical simulations have demonstrated the effectiveness of the proposed operation scheme for optimal operation of building microgrids with rooftop greenhouses.

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“…The power output was controlled in the hybrid system with diesel generation and was found capable of frequency control despite varying load conditions. Bui [40] developed an auto-configuration function to integrate old and new devices (microgrids) with rescheduling process. This system assists energy management system to reduce operational cost and alleviate load shedding.…”

Section: Sourcementioning

confidence: 99%

Wind–PV-Based Hybrid DC Microgrid (DCMG) Development: An Experimental Investigation and Comparative Economic Analysis

et al. 2018

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Abstract:The cyclical nature and high investment costs of the wind and photovoltaic renewable energy sources are the two critical issues seeking attention for the use of such systems in backup or isolated applications. This paper aims to present the experimental and economic analysis of a wind-photovoltaic-based hybrid direct current microgrid (DCMG) system for backup power and off-grid isolated power generation system for emergency purposes. The two distributed generating units comprising photovoltaic panels and wind generator were designed and developed for the experimental study. A lead-acid battery is also added as an energy storage system to enhance the system supply. The electric load of this system comprise of 42 DC light emitting diode (LED) lamps of 12 Watt each and a 25 Watt DC fan. The charge controller provides the control and protection features for the designed system. The complete system design and fabrication of this system have been undertaken at Mehran University of Engineering & Technology (MUET, Jamshoro, Pakistan). The compatibility of the designed system has been analysed by comparing the Levelized Cost of Energy (LCOE) with a conventional gasoline generator system of the same capacity. The capital, running and lifetime costs of DCMG are found to be 1.29, 0.15 and 0.29 times those of the gasoline generator, respectively. Moreover, it is found that per unit cost of gasoline generator is $0.3 (i.e., PKR 31.4) which is almost 3.4 times higher than that of the hybrid DCMG system. The performance and cost evaluation of the designed system indicate its broad potential to be adopted for commercialisation to meet backup power and off-grid power requirements. This study concludes that proposed DCMG system is a not only low cost, but also a pollution-free alternative option compared to the existing traditional small gasoline generator system.

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Optimal Operation of Microgrids Considering Auto-Configuration Function Using Multiagent System

Cited by 30 publications

References 29 publications

The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies

The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

Wind–PV-Based Hybrid DC Microgrid (DCMG) Development: An Experimental Investigation and Comparative Economic Analysis

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