Smart Grid Resources Optimization Using Heuristic Approach

In this paper, we propose a new layered architecture for Smart Grid Resource Optimization using heuristic approach (SGROH). SGROH allows Smart Grid Constituencies (SGC) such as Power Generators (PG), Power Transporters (PT), Power Distributors (PD), and Power Consumers (PC) to optimize their pay-off...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2018-06, Vol.168 (1), p.12015
Main Authors: Touzene, A, Al Yahyai, S, Oukil, A
Format: Article
Language:English
Subjects:
Consumers
Distributors
Generators
Heuristic
Heuristic methods
Optimization
Power consumption
Problem solving
Renewable energy
Resource utilization
Smart grid
Sustainability
Time of use electricity pricing
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Summary:In this paper, we propose a new layered architecture for Smart Grid Resource Optimization using heuristic approach (SGROH). SGROH allows Smart Grid Constituencies (SGC) such as Power Generators (PG), Power Transporters (PT), Power Distributors (PD), and Power Consumers (PC) to optimize their pay-offs using the smart grid. The proposed optimization heuristic aims to support power consumers with sustainable energy from power distributors, transparently at the best price on a real time basis (variable pricing). It will also decide automatically for the power distributors the best power generators and connecting transporter lines. The SGROH engine is based on a greedy heuristic which aims at optimizing the profits and resource utilization over the whole smart grid. Experimental study shows that SGROH heuristic gives nearly optimal solutions.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/168/1/012015