The study of CPP programs based on logarithmic model in electricity markets

Farahani, Shoorangiz Shams Shamsabad

doi:10.17485/ijst/2011/v4i11.27

Cited by 6 publications

(1 citation statement)

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“…In Vázquez et al ( 2011 ) the management system aims at improving the elasticity of loads in smart homes by using pervasive systems and statistical information taken from loads in the country of Austria. In addition, a logarithmic modeling for direct elastic load control is proposed in Farahani et al ( 2012 ), while a model predictive driven utility function for elastic loads control is presented in Shi et al ( 2018 ). A faithful method that performs management of distributed energy resources by using a pricing scheme is introduced in Mhanna et al ( 2017 ), and a dynamic price scheme are the focal point in Althaher et al ( 2015 ) where control of the operation of smart appliance takes into consideration the comfort zone of the consumer.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids

Alamaniotis

2020

Front. Artif. Intell.

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This paper frames itself in an informational rich smart electricity grid where consumers have access to various streams of information and make decisions over their daily consumption pattern. In particular, a new intelligent management system to accommodate possible optimal decisions for elastic load consumption is discussed. The energy management system implements a fuzzy driven leaky bucket that manages the elastic load of a consumer by controlling the token rate buffer via a set of four fuzzy variables (among them the electricity price). The goal of this innovative system is to allow loads that are identified as elastic to be scheduled only when it is potentially beneficial to the consumer. To that end, a fuzzy algorithm comprised of a set of rules is developed to manage the token rate of the leaky bucket and through that the decisions over the fate of elastic loads. The developed system is applied on a set of real-world electricity consumption data taken from a residential consumer, and benchmarked against a full scheduling method, where the elastic load is fully scheduled offline. Results exhibit that the proposed fuzzy logic method outperforms the full scheduling method in the vast majority of the cases, i.e., over 79% of the cases with respect to consumption cost. Furthermore, they validate its ability to conduct real time decision making with no human in the loop.

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Section: Introductionmentioning

confidence: 99%

Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids

Alamaniotis

2020

Front. Artif. Intell.

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Definition of distinct consumer modelling approaches for the participation in Demand Response programs considering distributed generation

Pereira

Faria

Vale

2015

2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)

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The increasing use of Distributed Generation (DG) resources, as well as the introduction of Demand Response (DR) resources has motivated significant changes in the context of competitive electricity markets and smart grids. The methodology proposed in this paper aims to allow scheduling the DG and DR programs resources, considering the implementation of distinct approaches for DR programs remuneration, such as, Steps, Quadratic, Constant, Linear and Elastic. This methodology can be used by a Virtual Power Player (VPP) that aggregates and manages small size consumption resources, enabling them to participate in DR programs. Distinct levels of energy/price from external suppliers are considered in the case study that accommodates 4 external suppliers, 66 DG units, and 218 consumers, classified into 6 types of consumers. For each context the aggregator is able to discuss on the adequate remuneration approach.Index Terms-Consumers modelling, demand response, distributed generation, remuneration, virtual power player. NOMENCLATUREVariables P Power of each resource [kW] Increase E C Elasticity Cost increase [m.u./kW] Parameters DR  Maximum allowed DR contribution [%]

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Distinct approaches to model electricity consumers for the participation in demand response programs

Pereira

Faria

Vale

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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The study of CPP programs based on logarithmic model in electricity markets

Cited by 6 publications

References 0 publications

Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids

Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids

Definition of distinct consumer modelling approaches for the participation in Demand Response programs considering distributed generation

Distinct approaches to model electricity consumers for the participation in demand response programs

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