Load shedding using GA and ACO in smart gird environment

Title

Load shedding using GA and ACO in smart gird environment

Creator

Margaret V.; Rao K.U.

Description

Increasing pressure on the utilities to accommodate energy efficiency, load management and progress in advanced technology has led to transformations for existing grid into a smarter grid. Creating awareness among the end-users to participate in load management programs instead of capacity addition is the best solution for maintaining the stability in the grid. Load shedding is a strategy under load management in which load connected to the smart grid is individually controlled via two- way communication. In this paper, a Smart Load shedding approach is developed based on load prioritization. The required amount of load to be shed under lack of sufficient generation level is optimized by Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithms. The proposed approach is implemented using a real time feeder data from the substation, India. The results reflect the effectiveness of proposed algorithms taken into practical applications.

Source

Journal of Electrical Engineering, Vol-16, No. 4

Date

2016-01-01

Publisher

Universitatea Politehnica din Timisoara

Subject

ACO; GA; Load Management; Smart Grid; Smart Load Shedding

Coverage

Margaret V., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ University Bengaluru, India; Rao K.U., Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 15824594

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017032445&partnerID=40&md5=d8b60a10a798822bfdf57de6309f8555