Sustainability and reliability assessment of microgrids in a regional electricity market

Prete, Chiara Lo; Hobbs, Benjamin F.; Norman, Catherine S.; Cano-Andrade, Sergio; Fuentes, Alejandro Sevilla; Spakovsky, Michael R. von; Mili, Lamine

doi:10.1016/j.energy.2011.08.028

Cited by 71 publications

(50 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the determination of the "true" individual importance of each indicator is not possible. Indeed, the relative importance of each indicator will vary among people with different backgrounds, cultural environments, social origins, education levels, life experiences, among others things [5,7]. Moreover, subjectivity of preferences among different decision groups may also lead to different sets of weighting factors even within the same cultures and/or education levels.…”

Section: Definition Of Weighting Factorsmentioning

confidence: 99%

“…The method is based on a multi-objective optimization. Other authors present a framework to assess the sustainability and reliability of different power production scenarios in a regional system [5]. This framework calculated four sub-indexes (technical, environmental, economic and reliability sub-index) for the different scenarios.…”

Section: Related Workmentioning

confidence: 99%

“…As a consequence, a normalization process for each indicator is performed based on linear functions considering lower and upper thresholds [5,24,29]. For those indicators for which a bigger value denotes a better situation from a sustainability perspective, the normalization is performed according to:…”

Section: Normalization Of the Indicatorsmentioning

confidence: 99%

“…A microgrid is a localized group of generation and storage devices working together to supply a local demand [5]. Generation can be based on photovoltaics, wind power, fossil-fueled distributed generation, or a combination of these and other technologies.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Methodology for Monitoring Sustainable Development of Isolated Microgrids in Rural Communities

et al. 2016

View full text Add to dashboard Cite

Microgrids are a rapidly evolving and increasingly common form of local power generation used to serve the needs of both rural and urban communities. In this paper, we present a methodology to evaluate the evolution of the sustainability of stand-alone microgrids projects. The proposed methodology considers a composite sustainability index (CSI) that includes both positive and negative impacts of the operation of the microgrid in a given community. The CSI is constructed along environmental, social, economic and technical dimensions of the microgrid. The sub-indexes of each dimension are aggregated into the CSI via a set of adaptive weighting factors, which indicate the relative importance of the corresponding dimension in the sustainability goals. The proposed methodology aims to be a support instrument for policy makers especially when defining sound corrective measures to guarantee the sustainability of small, isolated microgrid projects. To validate the performance of the proposed methodology, a microgrid installed in the northern part of Chile (Huatacondo) has been used as a benchmarking project.

show abstract

Section: Definition Of Weighting Factorsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Normalization Of the Indicatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Methodology for Monitoring Sustainable Development of Isolated Microgrids in Rural Communities

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Medians have shown better performance than averages, although they may remove good points. To overcome this issue, a type of fuzzy averaging is employed that puts the center prototype among the more densely situated points [2,9]. Consider {l (1) , .…”

Section: Clustering Processmentioning

confidence: 99%

Microgrids Real-Time Pricing Based on Clustering Techniques

Liu

Mahmoudi²,

Chen³

2018

Energies

View full text Add to dashboard Cite

Microgrids are widely spreading in electricity markets worldwide. Besides the security and reliability concerns for these microgrids, their operators need to address consumers' pricing. Considering the growth of smart grids and smart meter facilities, it is expected that microgrids will have some level of flexibility to determine real-time pricing for at least some consumers. As such, the key challenge is finding an optimal pricing model for consumers. This paper, accordingly, proposes a new pricing scheme in which microgrids are able to deploy clustering techniques in order to understand their consumers' load profiles and then assign real-time prices based on their load profile patterns. An improved weighted fuzzy average k-means is proposed to cluster load curve of consumers in an optimal number of clusters, through which the load profile of each cluster is determined. Having obtained the load profile of each cluster, real-time prices are given to each cluster, which is the best price given to all consumers in that cluster.

show abstract

Multi-Objective Optimization and Multi-Criteria Analysis Models and Methods for Problems in the Energy Sector

Antunes

Henriques²

2016

International Series in Operations Research &Amp; Management Science

View full text Add to dashboard Cite

Sustainability and reliability assessment of microgrids in a regional electricity market

Cited by 71 publications

References 21 publications

Methodology for Monitoring Sustainable Development of Isolated Microgrids in Rural Communities

Methodology for Monitoring Sustainable Development of Isolated Microgrids in Rural Communities

Microgrids Real-Time Pricing Based on Clustering Techniques

Multi-Objective Optimization and Multi-Criteria Analysis Models and Methods for Problems in the Energy Sector

Contact Info

Product

Resources

About