| Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
|---|---|---|
| Article Number | 01071 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202018401071 | |
| Published online | 19 August 2020 | |
A Cost Effective Solution to Security Constrained Unit Commitment and Dispatch Problem using Hybrid Search Algorithm
1 Ph.D Research Scholar, School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, INDIA
2 Domain of Power Systems, School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, INDIA
3 Departmement of Electrical Engineering, Shaheed Bhagat Singh State Technical Campus, Ferozepur, Punjab, INDIA
* Corresponding author: vikram.23687@lpu.co.in
The Security constraints unit commitment (SCUC) is a powerful scheduling technique used in power markets for daily planning. SCUC is a framework that combines two common algorithms in the electricity industry: Unit Commitment (UC) and Economic Dispatch (ED), while adding a new dimension – Security. Load demand is changing continuously due to variation of load of industrial, residential and commercial sectors. Thus, it is very important to decide which generating unit should be kept on and how much power should be dispatched so that time varying load demand can be meet on Hourly basis and there should be no scope of occurrence of loss of load hour (LOLH). In the proposed research, the recently developed hybrid meta-heuristics search algorithm i.e. GWO-RES has been applied to solve the security constrained Unit Commitment and dispatch problem of Electric power system. The efficiency of the proposed hybrid algorithm has been tested for standard IEEE-14 Bus, 30-Bus and 56-bus system and it has been experimentally found that GWO-RES performs much better than hybrid GWO-PS and GWO-RS algorithm.
Key words: IEEE-14 Bus / IEEE-30 Bus / IEEE-56 Bus / Security Constrained Unit Commitment Problem
© The Authors, published by EDP Sciences, 2020
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