Intelligent demand side energy management system for autonomous polygeneration microgrids

Kyriakarakos, George; Piromalis, Dimitrios; Dounis, Anastasios I.; Arvanitis, Konstantinos G.; Papadakis, G.

doi:10.1016/j.apenergy.2012.10.011

Cited by 137 publications

(61 citation statements)

References 16 publications

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“…In this case, the MGOCC agent directly administrates the load agent, DS agent and DG agent. The existing architecture is employed in several approaches [11][12][13][14][15]. The data shows a 41% decrease in the computational load on the MGOCC.…”

Section: Demonstration Experimentsmentioning

confidence: 99%

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Priority-Based Hierarchical Operational Management for Multiagent-Based Microgrids

et al. 2014

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Electricity consumption in the world is constantly increasing, making our lives become more and more dependent on electricity. There are several new paradigms proposed in the field of power grids. In Japan, especially after the Great East Japan Earthquake in March 2011, the new power grid paradigms are expected to be more resilient to survive several difficulties during disasters. In this paper, we focus on microgrids and propose priority-based hierarchical operational management for multiagent-based microgrids. The proposed management is a new multiagent-based load shedding scheme and multiagent-based hierarchical architecture to realize such resilient microgrids. We developed a prototype system and performed an evaluation of the proposed management using the developed system. The result of the evaluation shows the effectiveness of our proposal in power shortage situations, such as disasters.

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Section: Demonstration Experimentsmentioning

confidence: 99%

“…Therefore, each component needs to be autonomous, reactive and cooperative to work together as a microgrid. In order to meet these criteria, applying an agent system to a microgrid is proposed in existing research, and it is well established that the application of an agent system to a microgrid is effective [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Priority-Based Hierarchical Operational Management for Multiagent-Based Microgrids

et al. 2014

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“…technology in the field of management and control of microgrids. MAS based EMS architectures have been widely used for distributed control and demand side energy management in microgrids [23]. Moreover, a MAS based on hierarchical DEMS was presented in [24], in order to ensure energy supply in distributed generation systems, while a MAS-DEMS that employs fuzzy cognitive maps were presented in [15] for the energy management and control of an APM.…”

Section: Introductionmentioning

confidence: 99%

A Game Theory Approach to Multi-Agent Decentralized Energy Management of Autonomous Polygeneration Microgrids

2017

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Abstract:Energy management systems are essential and indispensable for the secure and optimal operation of autonomous polygeneration microgrids which include distributed energy technologies and multiple electrical loads. In this paper, a multi-agent decentralized energy management system was designed. In particular, the devices of the microgrid under study were controlled as interactive agents. The energy management problem was formulated here through the application of game theory, in order to model the set of strategies between two players/agents, as a non-cooperative power control game or a cooperative one, according to the level of the energy produced by the renewable energy sources and the energy stored in the battery bank, for the purpose of accomplishing optimal energy management and control of the microgrid operation. The Nash equilibrium was used to compromise the possible diverging goals of the agents by maximizing their preferences. The proposed energy management system was then compared with a multi-agent decentralized energy management system where all the agents were assumed to be cooperative and employed agent coordination through Fuzzy Cognitive Maps. The results obtained from this comparison, demonstrate that the application of game theory based control, in autonomous polygeneration microgrids, can ensure operational and financial benefits over known energy management approaches incorporating distributed intelligence.

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“…Applying either supporting systems such as diesel generators, distributed storages (DS) or implementing demand side management (DSM), may be useful to reduce a supplydemand mismatch [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode

et al. 2014

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Both performance optimization and scheduling of the distributed generation (DG) are relevant implementing an energy management system (EMS) within Microgrid (MG). Furthermore, optimization methods need to be applied to achieve maximum efficiency, improve economic dispatch as well as acquiring the best performance. This paper proposes an optimization method based on gravitational search algorithm to solve such problem in a MG including different types of DG units with particular attention to the technical constraints. This algorithm includes the implementation of some variation in load consumption model considering accessibility to the energy storage (ES) and demand response (DR). The proposed method is validated experimentally. Obtained results show the improved performance of the proposed algorithm in the isolated MG, in comparison with conventional EMS. Moreover, this algorithm which is feasible from computational viewpoint, has many advantages as peak consumption reduction, electricity generation cost minimization among other. non-responsive load (NRL) demand (kW) SOC t battery SOC in MCEMS (%) SOC t battery SOC in EMS-MGSA (%) P, P limit of power (kW) E, E limit of energy (kWh) SOC maximum SOC (%) SOC minimum SOC (%) ∆t time step

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Intelligent demand side energy management system for autonomous polygeneration microgrids

Cited by 137 publications

References 16 publications

Priority-Based Hierarchical Operational Management for Multiagent-Based Microgrids

Priority-Based Hierarchical Operational Management for Multiagent-Based Microgrids

A Game Theory Approach to Multi-Agent Decentralized Energy Management of Autonomous Polygeneration Microgrids

Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode

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