An Efficient Genetic Algorithm Based Demand Side Management Scheme for Smart Grid

2015 ◽  
Author(s):  
M. Awais ◽  
N. Javaid ◽  
N. Shaheen ◽  
Z. Iqbal ◽  
G. Rehman ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side ◽  
Management Scheme

Genetic Algorithm Based Demand Side Management for Smart Grid

2017 ◽  
Vol 93 (2) ◽  
pp. 481-502 ◽  
Author(s):  
C. Bharathi ◽  
D. Rekha ◽  
V. Vijayakumar
Keyword(s):  
Genetic Algorithm ◽  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side

GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid

2014 ◽  
Vol 8 (2) ◽  
pp. 588-597 ◽  
Author(s):  
Zubair Md Fadlullah ◽  
Duong Minh Quan ◽  
Nei Kato ◽  
Ivan Stojmenovic
Keyword(s):  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side ◽  
Management Scheme ◽  
Game Theoretic

A NOVEL APPROACH OF DEMAND SIDE MANAGEMENT FRAMEWORK FOR RESIDENTIAL CONSUMERS IN SMART GRID

2016 ◽  
Vol 78 (6) ◽  
Author(s):  
Sofana Reka S. ◽  
Ramesh V.
Keyword(s):  
Smart Grid ◽  
Demand Side Management ◽  
Climatic Conditions ◽  
Demand Side ◽  
Peak Demand ◽  
Management Framework ◽  
Management Scheme ◽  
Novel Approach ◽  
Actual Load ◽  
New Strategy

In this paper, Demand Side Management scheme in a smart grid environment is proposed as a feature of reducing the peak demand for residential users and maximizing the profit for the utility. A smart grid scenario is considered for detailed analysis. Non-cooperative game theory approaches are generalized in this methodology for solving two dynamic conditions such as reducing peak demand and maximize the utility profit with respect to the users comfort. In this work a new strategy is developed among the various users for scheduling of appliances autonomously. Extensive simulations are carried out using actual load profiles and obtained results demonstrates reduction in Peak to average ratio. In addition the proposed system is analyzed by considering the changes in climatic conditions of summer and winter for a particular region.

scholarly journals A Hybrid Genetic Wind Driven Heuristic Optimization Algorithm for Demand Side Management in Smart Grid

Energies ◽  
2017 ◽  
Vol 10 (3) ◽  
pp. 319 ◽  
Author(s):  
Nadeem Javaid ◽  
Sakeena Javaid ◽  
Wadood Abdul ◽  
Imran Ahmed ◽  
Ahmad Almogren ◽  
...  
Keyword(s):  
Smart Grid ◽  
Optimization Algorithm ◽  
Demand Side Management ◽  
Heuristic Optimization ◽  
Demand Side
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