Dynamic transactive energy scheme for smart distribution networks in a Latin American context

Palacios, J.P.; Samper, Mauricio E.; Vargas, Alberto

doi:10.1049/iet-gtd.2018.5272

Cited by 6 publications

(11 citation statements)

References 33 publications

(42 reference statements)

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“…within distribution networks, whereas TE markets operate at all scales. Whilst there are examples of small TE markets [45][46][47][48], there are also examples of TE markets which trade over entire electricity networks [49][50][51]. P2P and CSC markets often aim to incentivise the use of local generation [25,26,31,34,[52][53][54] or other local resources [26,38,55,56,56].…”

Section: Defining Characteristics Of P2p Csc and Te Marketsmentioning

confidence: 99%

A Systematic Literature Review of Peer-to-Peer, Community Self-Consumption, and Transactive Energy Market Models

et al. 2021

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Section: Defining Characteristics Of P2p Csc and Te Marketsmentioning

confidence: 99%

A Systematic Literature Review of Peer-to-Peer, Community Self-Consumption, and Transactive Energy Market Models

et al. 2021

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“…In [6], the authors propose a dynamic price scheme to minimize average system cost and rebound peaks through load scheduling with individualized prices for each user and evaluate results considering the integration of renewable energy sources. Reference [7] proposes a dayahead dynamic pricing method to maximize economic, social welfare of both distribution system operators and prosumers considering network constraints. Results are tested in a radial test feeder with photovoltaic (PV) generators and batteries, scheduling flexible loads.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Dynamic Pricing Scheme for Demand Response in Brazil Considering the Integration of Renewable Energy Sources

Vilar

Affonso

2021

Energies

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This paper proposes a novel dynamic pricing scheme for demand response with individualized tariffs by consumption profile, aiming to benefit both customers and utility. The proposed method is based on the genetic algorithm, and a novel operator called mutagenic agent is proposed to improve algorithm performance. The demand response model is set by using price elasticity theory, and simulations are conducted based on elasticity, demand, and photovoltaic generation data from Brazil. Results are evaluated considering the integration effects of renewable energy sources and compared with other two pricing strategies currently adopted by Brazilian utilities: flat tariff and time-of-use tariff. Simulation results show the proposed dynamic tariff brings benefits to both utilities and consumers. It reduces the peak load and average cost of electricity and increases utility profit and load factor without the undesirable rebound effect.

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“…In this sense, the tariff systems must be as simple as possible to guarantee that each actor can understand the aim of the methodology and respond to the tariff system in a harmonic manner. Thus, simplicity is a very important feature in tariff systems, as seen in current practices [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…These tariff systems are generally called volumetric [8], as the cost of energy and network are represented in one single charge. As a volumetric tariff is the simplest way electricity can be priced, it is widely used in practice [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…In one hand, various approaches have represented cost recovery and efficiency systematically, but with complex mathematical formulations that complicates regulatory implementations. On the other hand, various actual implementations maintain a level of simplicity that allows its regulatory applicability [2,3]; however, most of these approaches are based in volumetric tariffs that overlook cost recovery and efficiency in the presence of DG. Thus, this work proposes a tariff system considering the trade-off between mathematical complexity and regulatory applicability.…”

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confidence: 99%

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A Simple Distribution Energy Tariff under the Penetration of DG

et al. 2020

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In a scenario where distributed generation infrastructure is increasing, the impact of that integration on electricity tariffs has captured particular attention. As the distribution sector is mainly regulated, tariff systems are defined by the authority. Then, tariffs must be simple, so the methodology, criteria, and procedures can be made public to ensure transparency and responsiveness of the customers to price signals. In the aim of simplicity, tariff systems in current practices mostly consist of volumetric charges. Hence, the reduction of the energy purchased from the distribution network jeopardizes the ability of the tariff system to ensure recovery of the total regulated costs. Although various works have captured this concern, most proposals present significant mathematical complexity, contrasting with the simplicity of current practices and limiting its regulatory applicability. This work develops a tariff system that captures the basic elements of distribution systems, trying to maintain the simplicity of current practices, ensuring recovery of the total regulated cost under the penetration of distributed generation, and incentivizing through price signals operational efficiency. A simulation will be presented to discuss numerical results.

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Dynamic transactive energy scheme for smart distribution networks in a Latin American context

Cited by 6 publications

References 33 publications

A Systematic Literature Review of Peer-to-Peer, Community Self-Consumption, and Transactive Energy Market Models

A Systematic Literature Review of Peer-to-Peer, Community Self-Consumption, and Transactive Energy Market Models

Intelligent Dynamic Pricing Scheme for Demand Response in Brazil Considering the Integration of Renewable Energy Sources

A Simple Distribution Energy Tariff under the Penetration of DG

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