Book ChapterDOI
Demand Side Management Using Bacterial Foraging Optimization Algorithm
B. Priya Esther,K. Shivarama Krishna,K. Sathish Kumar,Kumar Ravi +3 more
- pp 657-666
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TLDR
The proposed demand side management strategy uses load shifting technique to handle the large number of loads and bacterial foraging optimization algorithm (BFOA) is implemented to solve the minimization problem.Abstract:
Demand side management (DSM) is one of the most significant functions involved in the smart grid that provides an opportunity to the customers to carryout suitable decisions related to energy consumption, which assists the energy suppliers to decrease the peak load demand and to change the load profile. The existing demand side management strategies not only uses specific techniques and algorithms but it is restricted to small range of controllable loads. The proposed demand side management strategy uses load shifting technique to handle the large number of loads. Bacterial foraging optimization algorithm (BFOA) is implemented to solve the minimization problem. Simulations were performed on smart grid which consists of different type of loads in residential, commercial and industrial areas respectively. The simulation results evaluates that proposed strategy attaining substantial savings as well as it reduces the peak load demand of the smart grid.read more
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Journal ArticleDOI
Progress on the demand side management in smart grid and optimization approaches
Eity Sarker,Pobitra Halder,Mehdi Seyedmahmoudian,Elmira Jamei,Ben Horan,Saad Mekhilef,Alex Stojcevski +6 more
Journal ArticleDOI
Residential Demand Side Management model, optimization and future perspective: A review
Subhasis Panda,Sarthak Swaroop Mohanty,Prasant Kumar Rout,Binod Kumar Sahu,Mohit Bajaj,Hossam M. Zawbaa,Salah Kamel +6 more
TL;DR: In this paper , a review of demand-side management (DSM) for the complex residential sector considering various operational constraints, objectives, identifying various factors that affect better planning, scheduling, and management, to project the key features of various approaches and possible future research directions.
Journal ArticleDOI
A Survey of Efficient Demand-Side Management Techniques for the Residential Appliance Scheduling Problem in Smart Homes
TL;DR: In this paper , the authors present a survey of residential appliance scheduling in smart homes and propose new viewpoints on appliance scheduling for smart homes based on the DSM techniques used in the literature.
Proceedings ArticleDOI
Residential demand response using genetic algorithm
N Pavithra,B Priya Esther +1 more
TL;DR: 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.
Proceedings ArticleDOI
An Optimized Priority Enabled Energy Management System for Smart Homes
TL;DR: A bio-inspired technique, binary particle swarm optimization (BPSO), is used for the optimal scheduling of appliances in a smart home and results illustrate the effectiveness of the HEMS in terms of electricity cost, demand, user comfort and peak to average ratio (PAR).
References
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Book
Handbook of Evolutionary Computation
TL;DR: The Oxford University Press and the Institute of Physics have joined forces to create a major reference publication devoted to EC fundamentals, models, algorithms and applications, intended to become the standard reference resource for the evolutionary computation community.
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
Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system
TL;DR: In this article, a multi-agent system for energy resource scheduling of an islanded power system with distributed resources, which consists of integrated microgrids and lumped loads, is proposed.
Journal ArticleDOI
Direct load control-A profit-based load management using linear programming
Kah-Hoe Ng,Gerald B. Sheblé +1 more
TL;DR: In this paper, profit-based load management is introduced to examine generic direct load control scheduling, based upon the cost/market price function, the approach aims to increase the profit of utilities.
Journal ArticleDOI
Dispatch of direct load control using dynamic programming
Yuan-Yih Hsu,Chung-Ching Su +1 more
TL;DR: In this paper, an approach based on dynamic programming is presented for the dispatch of direct load control (DLC) for the Taiwan power system, where the objective is to coordinate DLC strategies with system unit commitment such that the system production cost is minimized.
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