The Impact of Quality Investment in the Electricity Market Based on a Socioeconomic Market Model Contribution

Arango, Lucas Gustavo; Arango, H.; Bonatto, Benedito Donizeti; Deccache, E.; Maciel, Larissa Silva; Pamplona, Edson de Oliveira

doi:10.1109/eem.2018.8470002

Cited by 3 publications

(6 citation statements)

References 7 publications

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“…The analysis of this type of methodology seeks to determine an ideal or minimized regulatory tariff to be applied to the final consumers of energy, considering that there is an ideal investment for the production and supply of energy, based on the technical and commercial quality that should allow the maximization of the value socioeconomic aggregate 40 . To apply this methodology to the business model of a charging station for electric vehicles, we initially consider that the utility function must be weighted due to the types of energy that can be applied, the energy from the distributed systems, and the energy from the public network.…”

Section: Methodsmentioning

confidence: 99%

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Analysis of solar and wind energy installations at electric vehicle charging stations in a region in Brazil and their impact on pricing using an optimized sale price model

et al. 2020

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Electric vehicles are becoming more popular in the automobile sector since questions about the environment and quality of life have become increasingly important. New ways of commercializing energy should be regulated, like the sale prices applied to service stations for electric vehicles. This study adopted a model for calculating tariffs at a charging station using the optimized tariff methodology-Tarot, a new application for this method. The charging station proposed uses an alternative energy generation system comprised of photovoltaic panels and wind turbines. We evaluated four regions in Brazil with different solar and wind potentials. This is done to see how the tariff can be impacted by the use of natural resources. As a result, we indicate that the application of the Tarot methodology adapted to the concept of charging electric vehicles from the use of renewable sources becomes an opportunity for the sector to apply a tariff adjusted to national regulatory guidelines and to provide a better cost/benefit for the consumer. Of the four regions analyzed, Region 2 proved to be the best region for the implementation of this type of enterprise with the use of a wind and solar distributed generator. The difference in billing value with the average tariff applied with the aid of the distributed system and purely energy network reaches 6% in Region 2. If the photovoltaic generation is added in 30% in this location, it can cause a reduction of up to 7% in the tariff for the sale of energy to vehicles.

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Section: Methodsmentioning

confidence: 99%

“…Some variables applied to the model are recognized in some studies already published in the literature on the Tarot methodology, such as with Reference 1, 9, and 40. And based on previous studies, we adopted the elasticity as 5% for the scenarios.…”

Section: Methodsmentioning

confidence: 99%

Analysis of solar and wind energy installations at electric vehicle charging stations in a region in Brazil and their impact on pricing using an optimized sale price model

et al. 2020

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“…The regulatory economic electricity market model that is used in this work is the TAROT. This model was already used to analyse the impact of electricity theft on power quality [30], for evaluation of public policies in smart grids [31], to do a socioeconomic analysis of incentive public policies for the use of renewable energy per consumer class in Brazil [32], aggregated economic analysis of the Brazilian electricity distribution companies [33], the impact of quality investment in the electricity market [34], economic evaluation of regulatory tariff risk planning for a Brazilian electric Power Company [35], etc. It is a model that represents the Brazilian regulated electricity distribution Therefore, in this paper, the regulatory economic market model TAROT is applied taking into consideration the increase in the number of prosumers (consumers who produce their own energy), ordinary consumers and low-income consumers, in order to assess how the current TSEE public policy affects the regions already specified, and evaluate possible solutions.…”

Section: Regulatory Economic Market Modelmentioning

confidence: 99%

Evaluating Public Policies for Fair Social Tariffs of Electricity in Brazil by Using an Economic Market Model

et al. 2020

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This paper presents an evaluation of public policies for fare social tariffs of electricity in Brazil by using an economic model of the electricity market (TAROT-Optimized Tariff) that represents the regulated market of distribution of electrical energy. It was considered the scenario of an increasing number of prosumers (residential consumers who self-generate energy) in two of the five major regions of Brazil which have quite different socioeconomic characteristics. However, the current electricity regulation is the same for all concessionaires. In this work a new public policy is proposed, allowing the use of regulation in a different way aiming for a best result for Brazil and particularly for the poor population that today are not able to enjoy the benefits of electricity due to high tariff values. It is also discussed how this can contribute in a positive way to improve the income distribution in these regions, which is evaluated by using the GINI index.

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“…In Brazil, the NTL is an input variable for tariff calculations. The NTL is partially passed to consumers through electricity tariffs, i.e., the NTL is a cost shared among all consumers [6]. manageable by the utilities.…”

Section: Introductionmentioning

confidence: 99%

“…In order to reduce the harmful effects of NTLs, the distribution utilities should invest in technology for theft detection and the inspection of consumer units to identify and punish fraudsters [1,8,[12][13][14]. However, the costs are high and they can outweigh the benefits from the non-technical loss reduction if the investments are greater than the energy losses cost reduction [6].…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Frontier Model for Definition of Non-Technical Loss Targets

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et al. 2020

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The theft of electrical energy is one of the main problems faced by electricity distribution utilities, especially in developing countries. Aware of the difficulties in combating non-technical losses (NTLs) in Brazil, the National Electric Energy Agency (ANEEL) established tolerable limits for the percentage of non-technical losses to each Brazilian distribution utility. Despite the notable progress made by ANEEL, when comparing public utility NTLs and their regulatory targets in the last decade, it was observed that the goals defined by this agency were not able to lead to a general reduction in NTLs in the country. Thus, the search for alternative methodologies to deal with the topic is necessary. A more attractive alternative to the ANEEL’s model is an efficient frontier model. This paper describes a stochastic frontier cost model for panel data whose equation is specified to provide the tolerable limits for the percentage of NTLs. The proposed model was applied to a panel of data containing annual observations, over 10 years, of 41 distribution utilities in the Brazilian electrical system.

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The Impact of Quality Investment in the Electricity Market Based on a Socioeconomic Market Model Contribution

Cited by 3 publications

References 7 publications

Analysis of solar and wind energy installations at electric vehicle charging stations in a region in Brazil and their impact on pricing using an optimized sale price model

Analysis of solar and wind energy installations at electric vehicle charging stations in a region in Brazil and their impact on pricing using an optimized sale price model

Evaluating Public Policies for Fair Social Tariffs of Electricity in Brazil by Using an Economic Market Model

A Stochastic Frontier Model for Definition of Non-Technical Loss Targets

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