Demand response regulation modeling based on distribution system asset efficiency

Dashti, Reza; Afsharnia, Saeed

doi:10.1016/j.epsr.2010.10.031

Cited by 17 publications

(5 citation statements)

References 23 publications

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“…However, it is a fact demonstrated in different research and applications [4][5][6] that many medium industrial customers may be also able to offer DR services to the TSO if they were allowed, directly or through an aggregator. For this reason, it is important to provide them with new tools and mechanisms so as to enable them for estimating the DR potential that could remain hidden in their production processes [7,8].…”

Section: A Novel Tool For the Evaluation And Assessment Of Demand Resmentioning

confidence: 99%

A novel tool for the evaluation and assessment of demand response activities in the industrial sector

Rodríguez-García¹,

Álvarez-Bel²,

Carbonell-Carretero³

et al. 2016

Energy

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This paper introduces a novel tool for industrial customers to perform a cost-benefit analysis regarding the implementation of Demand Response (DR) strategies in their facilities with the final goal of softening the impact of RES intermittency in the grid. The dynamic simulation tool focuses on assessing the participation of industries in reserve energy markets in the same conditions as generators offering capacity reserve, energy reserve or both of them and taking into account all the technical restrictions of production processes as well as possible extra costs due to the implementation of DR (additional labour cost, productivity losses, etc.) Main innovations of the methodology are the DR assessment carried out per process and the introduction of the "margin of decision" as a decision making strategy for the energy consumer. Along the paper, the methodology behind this tool is introduced step by step in order to show how the technical, economic and environmental analyses are performed. At the end, it is included the application of the methodology to a real paper factory in Germany. Results of the _________________________________

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Section: A Novel Tool For the Evaluation And Assessment Of Demand Resmentioning

confidence: 99%

A novel tool for the evaluation and assessment of demand response activities in the industrial sector

Rodríguez-García¹,

Álvarez-Bel²,

Carbonell-Carretero³

et al. 2016

Energy

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show abstract

“…Si bien muchos de estos trabajos tratan de mejorar la eficiencia de la red, no son muchos los que usan índices para medir la eficiencia, a continuación se documentan algunos de los trabajos que miden la eficiencia de los equipos o de la red en conjunto. Los autores en [77] proponen un modelo para calcular la eficiencia global de la red de distribución incluyendo eficiencia energética, la eficiencia de los activos y la eficiencia del recurso humano, y proponen un modelo para determinar qué tan eficientemente se usan los alimentadores. Este índice se calcula con base en la demanda pico, el factor de carga, la capacidad instalada y el tiempo de operación de la red.…”

Section: Estado Del Arte En Técnicas E íNdices Para Medir La Eficienc...unclassified

Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation

Ganguly

Sahoo

Das

2013

Fuzzy Sets and Systems

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“…Dashti et al 25 analyzed the effects of regulations and evaluate them. Dashti et al 26 determined the way that asset management processes can be evaluated. Dashti et al 27 determined the way that asset management targets can be evaluated.…”

Section: Introductionmentioning

confidence: 99%

Asset management optimization in smart grids

Dashti

Hosseini

2022

Env Prog and Sustain Energy

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Electricity distribution companies manage financial resources to maximize profits.While the stability of the electricity distribution system depends on the efficiency of the resources used by this system. The regulator is responsible for balancing and aligning the stability of the electricity industry with the profits of electricity distribution companies, which does so by adjusting penalty indices and service rates. This article investigates the management indicators of the electricity distribution industry and how to spend each of them is studied by electricity distribution companies and provides a model that can guide the optimization of the division of financial resources and investment between the indicators. Adjust indicators for regulators to align the benefits and profits of electricity distribution companies with the stability of the electricity distribution system. The implementation of this model was observed in Bushehr Electricity Distribution Company and increased the efficiency percentage.

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Demand response regulation modeling based on distribution system asset efficiency

Cited by 17 publications

References 23 publications

A novel tool for the evaluation and assessment of demand response activities in the industrial sector

A novel tool for the evaluation and assessment of demand response activities in the industrial sector

Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation

Asset management optimization in smart grids

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