2014
DOI: 10.1016/j.enconman.2014.09.002
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Distributed multi-agent scheme for reactive power management with renewable energy

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Cited by 38 publications
(20 citation statements)
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“…Some works describing the interactions of the agents for solving power systems problems can be found in [34,35,36,37,38]. MAS has also been analysed for reliability assessment [39], transient stability enhancement [40], reactive power management with renewable energy [41], relaying [42], distribution grid congestion management with electric vehicles [43] and to provide demand response services from residential consumers [44].…”
Section: Combined Mas and Ann Methodsmentioning
confidence: 99%
“…Some works describing the interactions of the agents for solving power systems problems can be found in [34,35,36,37,38]. MAS has also been analysed for reliability assessment [39], transient stability enhancement [40], reactive power management with renewable energy [41], relaying [42], distribution grid congestion management with electric vehicles [43] and to provide demand response services from residential consumers [44].…”
Section: Combined Mas and Ann Methodsmentioning
confidence: 99%
“…Therefore, several multi-area SGCs have been proposed, in which an intelligent agent with highly self-learning and self-optimizing abilities is used, and optimal wide-area coordination can be effectively realized through a multi-agent bionic system [9]. In the real power system operations, there exist various uncertainties which can be regarded as a non-Markov decision and stochastic game problem.…”
Section: Introductionmentioning
confidence: 99%
“…The existing approaches have in common that the application of multi-agent-based simulation is limited almost exclusively to market analysis, see for example [7], [8], [9]. The underlying physical level of energy networks and the involved communication technologies and resulting issues of network control are not considered appropriately.…”
Section: Development Of a Comprehensive System Architecturementioning
confidence: 99%