A synergistic approach to implement demand response, asset management and service reliability using smart metering, AMI and MDM systems

Mak, Sioe T

doi:10.1109/pes.2009.5275280

Cited by 14 publications

(4 citation statements)

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“…Define AMI/AMM systems and software tools for managing and storage data obtained from these systems [33,34]. Define architecture and necessary performances of AMI/MDM systems so that they enable fulfilling of above mentioned SG goals [34].…”

Section: Meter Management and Controlmentioning

confidence: 99%

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Smart grids concept in electrical distribution system

2012

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This paper defines key business processes in electrical distribution systems and key elements and priority components that should be (re)defined in these processes in order to enable the goals of smart grids concept to be fulfilled in the cost effective way. Activities undertaken in the Power Distribution Company of “Elektrovojvodina” (Serbia), which provide the basis for fulfilling the Smart Grids goals and thus enable full implementation of smart grids concept are presented in details

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Section: Meter Management and Controlmentioning

confidence: 99%

“…Define architecture and necessary performances of AMI/MDM systems so that they enable fulfilling of above mentioned SG goals [34]. …”

Section: Meter Management and Controlmentioning

confidence: 99%

Smart grids concept in electrical distribution system

2012

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“…Besides one-way communication used in automated meter reading (AMR) solutions, with which the supplier gets data from clients, monitoring the integration of local generation and demand response functions is enabled by two-way communication through advanced metering infrastructure (AMI) and automated metering management (AMM) or metering data base management (MDM) [15]. Instantaneous information on individual and aggregated patterns of demand, generation and storage is a major asset for developing various functions for operation and planning purposes in a smart grid context.…”

Section: Data Representation and Information Technologiesmentioning

confidence: 99%

Challenges for smart distribution systems: Data representation and optimization objectives

Chicco

2010

2010 12th International Conference on Optimization of Electrical and Electronic Equipment

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This paper deals with the evolution of distribution networks towards the smart grid paradigm, with a twofold focus. The first focus is on discussing the role of information technologies and specific aspects of data representation for generation, demand and storage patterns gathered from the field. The second focus refers to highlighting the formulation of specific objective functions for distribution system optimization incorporating new issues emerging from today's trend towards exploiting decentralized resources.

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“…Demand response is another technology advancement to improve the reliability and efficiency of the power system [15][16][17]. The impacts of demand response on the EAS markets have been extensively studied in the existing literature [18][19][20], such as diverse pricing strategies [21,22], advanced metering [23,24], and customer behavior [25].…”

Section: Introductionmentioning

confidence: 99%

A data-driven analytical approach to enable optimal emerging technologies integration in the co-optimized electricity and ancillary service markets

Chen

Zhou

2017

Energy

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The three emerging technologies (renewable energy, energy storage and demand response) play important roles in the co-optimized electricity and ancillary service (EAS) markets where electricity and ancillary service are simultaneously dispatched. While promising, we notice that most literature focuses on either technology integration or operation in the EAS markets. In this research, we develop a three-stage data-driven multi-criteria analytical framework to enable the optimal integration of emerging technologies and operation decisions in an EAS market context under various conditions. We propose multiple performance metrics to evaluate the EAS markets and use a Latin hypercube sampling approach to generate training data for these metrics based on a mixed integer quadratic programming model. Various data-driven models are developed for the performance metrics using the training data and two multi-criteria decision models based on the data-driven models are developed to select optimal technologies based on various criteria. To demonstrate the effectiveness of the proposed framework, we study a revised IEEE 118-bus system. It is demonstrated that our proposed approach can: 1) characterize the relations between each performance metric and technology parameters, 2) determine the significant impact technologies for each performance metric, and 3) recommend optimal emerging technologies integration for market/system operators.

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A synergistic approach to implement demand response, asset management and service reliability using smart metering, AMI and MDM systems

Cited by 14 publications

References 0 publications

Smart grids concept in electrical distribution system

Smart grids concept in electrical distribution system

Challenges for smart distribution systems: Data representation and optimization objectives

A data-driven analytical approach to enable optimal emerging technologies integration in the co-optimized electricity and ancillary service markets

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