Optimization of Grid-Tied Microgrids Under Binomial Differentiated Tariff and Net Metering Policies: A Brazilian Case Study

Lopez-Salamanca, Henry L.; Arruda, Lúcia Valéria Ramos de; Magatão, Leandro; Normey‐Rico, Julio E.

doi:10.1007/s40313-018-0403-x

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…López‐Salamanca et al. (2018) conduct a study to integrate and operate a renewable energy source by optimizing grid‐tied microgrids in Brazil. Ferrer‐Martí et al.…”

Section: Application Areasmentioning

confidence: 99%

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Orhan

Guajardo

2021

Int Trans Operational Res

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The growing availability of data coupled with advanced methods and computing power have fostered organizations to adopt business analytics in their decision‐making. Nevertheless, the application of analytics is subject to available resources and capabilities, and, therefore, differs from region to region. Developing countries in particular are exposed to circumstances that can limit the expansion of analytics within their domains. This may prohibit the acceleration of development efforts and, consequently, may result in delays in achieving the United Nations Sustainable Development Goals (UNSDGs) set for 2030. Taking this concern as a starting point, this paper provides the results of a survey on the status of analytics research in developing countries. Through a thorough review and classification of 142 articles published during 2009–2019, we characterize analytics in developing countries along three dimensions. First, we explore the mainstream methodologies appearing in the literature, which range from classic optimization techniques to more recent statistical and machine learning methods. Second, we identify 11 application areas that cover a broad range. Third, we focus on the linkages between the reviewed papers and the 17 UNSDGs. Along this dimension, we establish a connection between the literature and 13 goals, and illustrate how some of these contributions relate to some of the 169 targets set by United Nations. Goals such as gender equality are addressed to either little or no extent by the surveyed literature. Also, the survey reveals no adoption of indicators that are set to track the progress toward the targets.

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“…López‐Salamanca et al. (2018) conduct a study to integrate and operate a renewable energy source by optimizing grid‐tied microgrids in Brazil. Ferrer‐Martí et al.…”

Section: Application Areasmentioning

confidence: 99%

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Orhan

Guajardo

2021

Int Trans Operational Res

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“…Several mixed integer programming (MIP) models have been beneficial for this group. Khalilpour and Vassallo 61 proposed a model of sizing and scheduling for minimization of energy costs in the MG. Lopez‐Salamanca et al 62 aimed at reducing industrial consumers' electricity bill and energy storage systems degradation for the grid‐connected MG. Zhang et al 63 used stochastic and quadratic MIP for cost minimization and to decrease extra power generation capacity of a grid‐connected MG.…”

Section: Reviewed Studies and Analysesmentioning

confidence: 99%

Review and clustering of optimal energy management problem studies for industrial microgrids

Bektas

Kayakutlu

2020

Int J Energy Res

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The optimal energy management problem of microgrids is an agenda item for the energy field. Especially industrial microgrids, whose energy demand is high and uninterruptible, need to be managed by a holistic view of optimization. Technical researches in this field are to be enriched with the literature review that looks through various angles. In the scope of this paper, the research literature is reviewed deeply and analyzed with the aim of presenting the gaps. Articles written in English, in the period of 2010 to 2019 have been revised thoroughly. By eliminating the search results, 105 relevant articles have been determined. Objective(s), criteria for analysis, processes included, power source(s), storage system, other system components and methodology of each article have been studied. The literature has been summarized, it has been seen that solar, wind, and diesel sources are used in about 82%, 55%, and 16% of articles, respectively. Then, they have been clustered using self-organizing maps. Nine clusters have been obtained which separate the articles clearly. Especially, three of them which have fewer data have been analyzed. Clustering results have been interpreted and utilized to show the research openings. Achievements of this study will lead the scientific research that will fill in the gaps.

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“…Barazza and Strachan [6,7] discussed the construction path of the power market from the perspectives of the construction mode of the spot market in the southern region and the mechanism design of the power market in Yunnan; Santos et al [8,9], respectively, designed the electric power spot market mechanism from the perspective of real-time price elasticity of user demand and marketization operation of incremental distribution network; López-Salamanca et al [10], based on the similar network topology of blockchain and electric power spot market system, designed a brand new electric power spot real-time scheduling transaction and regulatory model for the intelligence and real-time and security requirements of electric power spot market transactions. e above literature provides valuable references for the construction of the spot market from multiple perspectives but lacks analysis on the construction of the complete technical support system of the spot market of electric power.…”

Section: Introductionmentioning

confidence: 99%

The Architecture of an Intelligent Technical Support System for Electricity Spot Market

Sun

Peng

et al. 2022

Scientific Programming

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With the accelerating pace of China's electricity market reform, the construction of the electricity spot market has been put on the agenda. However, as the number and scope of market participants gradually expand, the market-oriented transaction power continues to rise, and the intraprovincial and interprovincial transaction varieties are increasingly abundant. How to design an intelligent and powerful system that can meet the performance requirements of high concurrency and high-frequency transactions in the future market is a major problem in power reform. Based on the research of theoretical research results, this paper builds the front-end interaction platform of the southern spot electricity system based on the regional center to provide a data declaration interface for market users, including market management, market declaration, market release, market evaluation, intelligent analysis, front-end data interface, security protection, and other functional modules, provide declaration information and some market evaluation results to the southern regional spot power system platform, and obtain clearance results and published information from this platform.

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Optimization of Grid-Tied Microgrids Under Binomial Differentiated Tariff and Net Metering Policies: A Brazilian Case Study

Cited by 8 publications

References 17 publications

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Review and clustering of optimal energy management problem studies for industrial microgrids

The Architecture of an Intelligent Technical Support System for Electricity Spot Market

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