Agent based micro grid management system

Oyarzabal, José; Jimeno, Joseba; Ruela, José; Engler, A.; Hardt, C.

doi:10.1109/fps.2005.204230

Cited by 136 publications

(73 citation statements)

References 1 publication

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“…The Micro Grid Management System described in [10] is an agent based system for scheduling electricity production, storage and consumption with multiple types of agents. A micro grid is defined as a set of generators, storage devices and loads.…”

Section: Related Workmentioning

confidence: 99%

“…(microgrids) [10], [12]. The energy production, usage and storage within these clusters can be balanced.…”

Section: Introductionmentioning

confidence: 99%

“…Various global controlling algorithms and products are developed both commercially 2 and from a more research point of view [6], [9], [10]. Three of these research algorithms are discussed in the next section in more detail.…”

Section: Introductionmentioning

confidence: 99%

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Domestic energy management methodology for optimizing efficiency in Smart Grids

Molderink

Bakker

Bosman

et al. 2009

2009 IEEE Bucharest PowerTech

122

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Abstract-Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency. These technologies on their own already improve the efficiency, but more can be gained by a combined management. Multiple optimization objectives can be used to improve the efficiency, from peak shaving and Virtual Power Plant (VPP) to adapting to fluctuating generation of wind turbines.In this paper a generic management methology is proposed applicable for most domestic technologies, scenarios and optimization objectives. Both local scale optimization objectives (a single house) and global scale optimization objectives (multiple houses) can be used. Simulations of different scenarios show that both local and global objectives can be reached.

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Section: Related Workmentioning

confidence: 99%

“…(microgrids) [10], [12]. The energy production, usage and storage within these clusters can be balanced.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Domestic energy management methodology for optimizing efficiency in Smart Grids

Molderink

Bakker

Bosman

et al. 2009

2009 IEEE Bucharest PowerTech

122

View full text Add to dashboard Cite

show abstract

“…In [17] a combination of DGs is explained by utilizing a linear programming scheme. To optimize the system operation where some agents can generate scheduling models from MG information, a multi-agent system for MG management is proposed in [18]. Operation optimization of DGs is expressed in [19] considering environmental factors.…”

Section: Introductionmentioning

confidence: 99%

A Novel Optimal Control Method for Islanded Microgrids Based on Droop Control Using the ICA-GA Algorithm

Goodarzi

Kazemi

2017

Energies

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Microgrids are small scale power systems with local resources for generation; consumption and storage, that can operate connected to the main grid or islanded. For the islanding operation of microgrids, two important tasks are to share the load demand and maintain the voltage and frequency stabilities. In order to achieve this goal, a hierarchical control structure can be employed. This research presents a solution technique for finding the optimal site, production and droop coefficients of distributed generation (DG) units in microgrids. In this paper, three main factors are scrutinized through a multi-objective optimization approach. These factors include fuel consumption cost, stability and variations of voltage. To solve this optimization problem, an Imperialist Competitive Algorithm-Genetic Algorithm (ICA-GA) is presented. A fuzzy approach is used to search in non-dominated outcomes and to find the best answer. To show the effectiveness of the proposed method, it is implemented on 33-buses IEEE test systems. The simulation results exhibit the ability and efficiency of the proposed scheme to find the optimal solutions.

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“…To address these issues, the multiagent system paradigm is widely agreed to be one challenging approach to build these systems [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Self-Configurable Mechanism for Distributed Energy Storage Systems

Alberola

Julián

García-Fornes

2014

Cybernetics and Systems

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Alberola Oltra, JM.; Julian Inglada, VJ.; García-Fornes, A. (2014 and energy transmission. Multiagent systems are envisioned to provide autonomic and adaptability features to these systems in order to gain advantage in their current environments. In this paper we present a mechanism for providing distributed energy storage systems (DESSs) with intelligent capabilities. In more detail, we propose a self-configurable mechanism which allows a DESS to adapt itself according to the future environmental requirements. This mechanism is aimed at reducing the costs at which energy is purchased from the market.

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Agent based micro grid management system

Cited by 136 publications

References 1 publication

Domestic energy management methodology for optimizing efficiency in Smart Grids

Domestic energy management methodology for optimizing efficiency in Smart Grids

A Novel Optimal Control Method for Islanded Microgrids Based on Droop Control Using the ICA-GA Algorithm

An Intelligent Self-Configurable Mechanism for Distributed Energy Storage Systems

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