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Proceedings ArticleDOI

Development of domestic load management scheme to participate in demand side integration

TLDR
A hardware prototype and customized software to establish two way communications between consumer and utility to keep the consumer cognizant about the load usage and Prediction of baseline in advance, together with the developed hardware and software helps to reduce the peak demand with the involvement of the consumers.
Abstract
Advent of Demand Side Management (DSM) is an approach towards the “load demand follows the generation”, to create a flexible and resilient system supporting multidirectional flow of power where consumer acts as a crucial agent. Effective implementation of DSM needs an advanced ICT infrastructure and thorough knowledge of system loads. This paper provides a hardware prototype and customized software to establish two way communications between consumer and utility to keep the consumer cognizant about the load usage. It also helps the utility to create a baseline with which the DSM measures will be deployed. It provides an insight towards the consumers' awareness about their overall energy usage and the usage of the connected appliances at different time through a developed algorithm in MATLAB. The simulations of residential loads are performed using PSCAD/EMTDC software through which the variation in the load curves can be observed with the different combination of loads. Prediction of baseline in advance, together with the developed hardware and software helps to reduce the peak demand with the involvement of the consumers.

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Citations
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Journal ArticleDOI

Demand-side management in territorial entities based on their volatility trends

TL;DR: In this paper, the issues of assessing electricity consumption by individual countries and territorial entities based on their demand volatility are explored, and the authors introduce new indicators for assessing the electricity demand volatility such as: "Annual Load Volatility Factor", "Daily Load Factor", and "Demand Volatility Coefficient", which underlie a demand volatility map.
References
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Journal ArticleDOI

Management and Control of Domestic Smart Grid Technology

TL;DR: Using good predictions, in advance planning and real-time control of domestic appliances, a better matching of demand and supply can be achieved and a more energy-efficient electricity supply chain can be achieve.
Journal ArticleDOI

A model for generating household electricity load profiles

TL;DR: In this article, a simplified bottom-up load model is presented to generate realistic domestic electricity consumption data on an hourly basis from a few up to thousands of households using input data that is available in public reports and statistics.
Journal ArticleDOI

Using appliance signatures for monitoring residential loads at meter panel level

TL;DR: In this paper, an initial approach to identifying electrical household appliances strictly by analyzing variations in current-voltage signals at the meter panel level is presented, where the authors show that local measurement of variations in active and reactive power is sufficient in most cases to identify an appliance.
Journal ArticleDOI

Customer Engagement Plans for Peak Load Reduction in Residential Smart Grids

TL;DR: The effectiveness of customer engagement plans that clearly specify the amount of intervention in customer's load settings by the grid operator for peak load reduction are studied and constant deviation plans (CDPs and PDPs) are suggested.
Proceedings ArticleDOI

Demand response implementation in a home area network: A conceptual hardware architecture

TL;DR: A DR framework that can be implemented within a home area network, as well as a conceptual hardware architecture for a Home Management System and appliance interface units that enable in-home DR implementation, are presented.
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