Proceedings ArticleDOI
Residential demand response using genetic algorithm
N Pavithra,B Priya Esther +1 more
- pp 1-4
TLDR
Genetic Algorithm is involved to the average load profile of the devices used by the residential consumers on the hourly basis and the result achieves substantial savings in cost along with a peak load reduction.Abstract:
Load control on the consumer side is termed as Demand Response and there is a purpose and urgency to develop new technologies for achieving energy conservation and demand response. There are several DR techniques and algorithms. However, this paper features the study of residential consumer behavior and its response towards Demand Side Management using load-shifting concept. The primary objective of DR is to reduce the overall peak load demand and the operational cost. Genetic Algorithm is involved to the average load profile of the devices used by the residential consumers on the hourly basis. MatLab is used for the simulation purpose and the result achieves substantial savings in cost along with a peak load reduction.read more
Citations
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Journal ArticleDOI
Closed-Loop Elastic Demand Control under Dynamic Pricing Program in Smart Microgrid Using Super Twisting Sliding Mode Controller.
Taimoor Ahmad Khan,Kalim Ullah,Ghulam Hafeez,Imran Khan,Azfar Khalid,Zeeshan Shafiq,Muhammad Usman,Abdul Baseer Qazi +7 more
TL;DR: A closed-loop super twisting sliding mode controller (STSMC) is proposed to handle the uncertain and fluctuating load to maintain the balance between demand and supply persistently and a theoretical control approach for persistent demand control by dynamic price-based closed- loop STSMC is demonstrated.
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Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources
Proceedings ArticleDOI
Remotely Controllable Consumer Perspective Demand Response using Genetic Algorithm
TL;DR: This paper focuses on consumer's perspective of Demand Response using load shifting technique to minimize the energy consumption during peak hours and to reduce the operating cost of the consumer by using Genetic algorithm.
Proceedings ArticleDOI
Demand Side Management services for smart buildings with the use of second generation Smart Meter and the Chain-2 of E-Distribuzione
Rossella Terracciano,Vincenzo Galdi,Vito Calderaro,Diego Pappalardo,Gianni Ceneri,Alessandro Pitì +5 more
TL;DR: The regulatory contest and the property of communication between the in-home device (IHD), used to develop demand side management (DSM) algorithms, and the smart meters are presented and an example of a strategy for home automation is presented.
Optimizacion del Costo Eléctrico de Grandes Demandas en Argentina por Medio de la Gestión Predictiva del Sistema de Climatizacion
TL;DR: In this paper , a gestión óptima de los aires acondicionados of un centro de diagnóstico por imágenes that tiene picos de potencia superiores a 300 kW was presented.
References
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Journal ArticleDOI
Demand Side Management in Smart Grid Using Heuristic Optimization
TL;DR: A heuristic-based Evolutionary Algorithm that easily adapts heuristics in the problem was developed for solving this minimization problem and results show that the proposed demand side management strategy achieves substantial savings, while reducing the peak load demand of the smart grid.
Journal ArticleDOI
A survey on residential Demand Side Management architecture, approaches, optimization models and methods
B. Priya Esther,K. Sathish Kumar +1 more
TL;DR: In this paper, a survey on residential demand side management (DSM) is presented, which can help general readers to have an outlook of the topic which includes the architecture, formulation of optimization problems and its various approaches.
Proceedings ArticleDOI
An Efficient Genetic Algorithm Based Demand Side Management Scheme for Smart Grid
Muhammad Awais,Nadeem Javaid,Nusrat Shaheen,Zafar Iqbal,G. Rehman,K. Muhammad,Iftikhar Ahmad +6 more
TL;DR: The focus of this work is to minimize the Peak to Average Ratio (PAR) to increase the efficiency of SG, by increasing the utilization of spinning reserves and minimize the electricity consumption cost.
Proceedings ArticleDOI
Investigating the impact of demand side management on residential customers
TL;DR: This paper investigates the impact of a DSM scheme that shifts residential high-power appliances (loads) to reduce the overall peak of households connected to the same LV feeder, showing not only that the proposed DSM scheme has great potential for peak reduction, but, more importantly, that the negative impact on the consumers is minimal.
Proceedings ArticleDOI
An efficient home energy management system for automated residential demand response
TL;DR: In this article, the authors proposed a genetic algorithm based approach to solve the optimization problem of the real-time price (RTP) model in spite of its privileges has the tendency to accumulate a lot of loads at a pretty low electricity price time.
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