Multicriteria decision making for resource management in renewable energy assisted microgrids

Naz, Muhammad Naveed; Mushtaq, Muhammad; Iqbal, Muhammad; Altaf, Muhammad; Haneef, Muhammad

doi:10.1016/j.rser.2016.12.059

Cited by 43 publications

(17 citation statements)

References 137 publications

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“…Our purpose is to provide the interested reader with concise, yet comprehensive and meaningful information about these recent EPDM literature reviews. Several more recent literature reviews [3,8,122,141,153,161,162] have been left out of the scope of this paper, since their main focus was on management aspects exclusively.…”

Section: An Overview Of Reviews On Epdmmentioning

confidence: 99%

“…when answering strategic questions or making operational decisions [6]. A variety of (multi-objective) optimization techniques [5][6][7][8], have been previously used to provide a desirable energy resource allocation, and enable energy-safe capacity expansion plans with minimized costs and maximized system's reliability. Notwithstanding, energy optimization is only part of an overall energy planning decision-making (EPDM) field that relies on a plethora of decision analysis methods [9].…”

Section: Introductionmentioning

confidence: 99%

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Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Sellak¹,

Ouhbi²,

Frikh

et al. 2017

Renewable and Sustainable Energy Reviews

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Achieving sustainable energy planning and development involves complex decision-making processes. The energy planning decision-making (EPDM) field relies on a plethora of decision analysis methods that offered many solutions to process a variety of energy management and strategic decision-making problems. However, current EPDM solutions are unable to overcome the increasing complexity of strategic energy planning situations involving a large number of stakeholders in uncertain, dynamic, and distributed environments. This raises significant new challenges for researchers in both decision sciences and renewable and sustainable energy planning. On the basis of a representative assortment of peer-reviewed related literature selected by querying multiple electronic databases and indexed in Scopus and Web of Science databases domain journals over the last 12 years, this paper exhaustively highlights and discusses limitations of existing strategic EPDM solutions. The analysis is based on a classification specially developed by holistically harmonizing important domain concepts to categorize the considered representative sample of the field of interest. Additionally, this paper integrates results and conclusions from some recent and most cited literature reviews to (i) formulate essential evidence as well as practical and conclusive literature's supportalongside with the formulated representative sample -to this paper's subsequent insights and statements, and (ii) guarantee that no relevant articles have been excluded. A total of 78 related works is gathered and analyzed to provide a general view and discussion on major complexities found in classical/traditional strategic EPDM solutions and challenges for next-generation EPDM solutions. Moreover, a comparative analysis of the two solutions and a set of "quality indexes" of a next-generation EPDM solution were identified and some proposals were made to improve future applicative research. As an original result coming from the "quality indexes" identified through the review process, an intelligent expert-based framework for next-generation EPDM solutions is developed for enhanced renewable and sustainable energy planning.

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Section: An Overview Of Reviews On Epdmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Sellak¹,

Ouhbi²,

Frikh

et al. 2017

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…Usually, complex systems occuring in multiparty negotiation processes are modeled as MOPs with one objective function and one feasible set per subsystem, see, e.g., Lou and Wang [25]. Di Matteo et al [6] study spatially distributed storm water harvesting systems, while Naz et al [29] review multiple objectives for resource management on microgrids. Lewis and Mistree [23] use a game theory approach to model interactions between the subsystems in MDO.…”

Section: Introductionmentioning

confidence: 99%

Introducing multiobjective complex systems

Dietz

Klamroth

Konstantin

et al. 2020

European Journal of Operational Research

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This article focuses on the optimization of a complex system which is composed of several subsystems. On the one hand, these subsystems are subject to multiple objectives, local constraints as well as local variables, and they are associated with an own, subsystemdependent decision maker. On the other hand, these subsystems are interconnected to each other by global variables or linking constraints. Due to these interdependencies, it is in general not possible to simply optimize each subsystem individually to improve the performance of the overall system. This article introduces a formal graph-based representation of such complex systems and generalizes the classical notions of feasibility and optimality to match this complex situation. Moreover, several algorithmic approaches are suggested and analyzed.

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“…Os Sistemas Elétricos de Potência (SEPs) têm grande importância no desenvolvimento socioeconômico e devem operar de forma confiável e segura (NAVEED et al, 2017).…”

Section: Introductionunclassified

“…Contudo, no cenário atual, a crescente utilização de fontes distribuídas de energia conectadas em paralelo com a rede principal apresenta-se como uma interessante solução para potencializar a produção de energia elétrica. Nesse novo contexto, a depender da topologia do sistema planejado e das condições de operação desejadas, podem ser caracterizadas as microrredes que trazem, por concepção, a inserção das novas fontes e de elementos armazenadores de energia de forma eficiente formando, assim, um sistema multi-energia (NAVEED et al, 2017).…”

Section: Introductionunclassified

A supervisão de uma microrrede baseada em um Sistema Multiagente

Faria¹

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Multicriteria decision making for resource management in renewable energy assisted microgrids

Cited by 43 publications

References 137 publications

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Introducing multiobjective complex systems

A supervisão de uma microrrede baseada em um Sistema Multiagente

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