Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids

Chiu, Te-Chuan; Shih, Yuan-Yao; Pang, Ai‐Chun; Pai, Che-Wei

doi:10.1109/jiot.2016.2556006

Cited by 116 publications

(78 citation statements)

References 24 publications

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“…This work proposes a set of fuzzy rules to represent customer behavior in response to the tariff system. A fuzzy controller [31] may not be an optimal choice in light of other approaches [32,33], but a set of fuzzy rules was found to be simple enough to show some responsiveness of customers to the proposed tariff system.…”

Section: Fuzzy Controllermentioning

confidence: 99%

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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Section: Fuzzy Controllermentioning

confidence: 99%

A Simple Distribution Energy Tariff under the Penetration of DG

et al. 2020

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“…The SG concept aims to present a cost-effective, more secure and reliable system by combining IoT infrastructures. In order to integrate SG stages with IoT networks, a plenty number of researches have been conducted [22,26,[58][59][60][61][62][63][64][65][66][67][68][69][70]. Several estimation algorithms, which can be employed to monitor intermittent energy sources, are investigated to present the microgrid model, including the IoT communication method in [22,71].…”

Section: Smart Energy Metering and Management Applications Based On Iotmentioning

confidence: 99%

Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

et al. 2019

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Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.presented in [12]. As a general definition, an EI system is composed of the combination of three important components that are energy systems, network systems, and ICT systems. In addition, these subsystems are connected to each other over energy routers, which comprise the main section of EI infrastructure. The energy routers are able to manage data and energy flow between these systems. The energy router idea is firstly proposed in [13], where they have two significant targets. While one of these targets is to perform dynamic scheduling of energy flows, the other is to enable communication with power devices. Different proposals related to system designs are reported in [14][15][16][17]. The use of communication technologies in EI is quite crucial to accomplish the goals of this vision. Therefore, ICTs are intensely adapted for enabling monitoring, controlling, and management processes in the EI concept. The wired and wireless communication technologies, such as ZigBee, WiMAX, cognitive radio, cellular communications, and the software-defined network (SDN), which are managed via the network system, are applied in the EI system to carry out monitoring, controlling, and management transactions in real-time [10]. One of the most recent communication technologies is the Internet of Things (IoT) [18,19] that has provided the development of numerous different communication protocols. The IoT can be exploited to ensure communication between devices employing dissimilar data types. Moreover, in order to present a communication platform in both machine-to-machine (M2M) and human-to-machine (H2M) environments, IoT technologies utilize several communication mediums, protocols, and layer architectures.A number of studies researching EI are available in the literature, which is only focused on the architecture of energy routers, techniques for system integration, SDNs, and big data analysis in the EI. To the best of our knowledge, any study surveying IoT applications in smart grids and smart environments has not been presented so far. We intend to present a comprehensive analysis of IoT applications in smart grids, smart cities, smart homes, smart metering, and EMSs to provide a further understanding of the EI concept. It is expected that these appl...

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“…47 The dynamic pricing problem is formulated as a convex optimization dual problem and a day-ahead time-dependent pricing framework providing increased user privacy is employed. 47 The dynamic pricing problem is formulated as a convex optimization dual problem and a day-ahead time-dependent pricing framework providing increased user privacy is employed.…”

Section: Energy Efficiency and Renewable Energymentioning

confidence: 99%

“…A renewable energy buy-back scheme with dynamic pricing is considered to achieve energy efficiency for smart grids. 47 The dynamic pricing problem is formulated as a convex optimization dual problem and a day-ahead time-dependent pricing framework providing increased user privacy is employed. The framework seeks to achieve maximum benefits for both users and electric companies.…”

Section: Energy Efficiency and Renewable Energymentioning

confidence: 99%

A review on the features and technologies for energy efficiency of smart grid

Anjana¹,

Shaji

2017

Int J Energy Res

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Summary In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.

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Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids

Cited by 116 publications

References 24 publications

A Simple Distribution Energy Tariff under the Penetration of DG

A Simple Distribution Energy Tariff under the Penetration of DG

Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

A review on the features and technologies for energy efficiency of smart grid

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