Calculation of Transmission Prices for Bilateral Contracts and Optimization of Pool Contracts Using Intelligent Techniques

S. K. Gupta*, Diksha Gupta**
* Professor, Department of Electrical Engineering, Deenbandhu Chhotu Ram University, Murthal (Sonepat) Haryana, India.
** Wipro Technology, Greater Noida, India.
Periodicity:July - September'2018

Abstract

The objective of ELD is to determine economic sharing of generating power from different generating stations to meet the demand while satisfying the constraints. Power scheduling is one of the most important problems in the optimization of operation price of the power system. In deregulated power system environment Economic load dispatch (ELD) has the objective of generation allocation to the power generators such that the total prices paid to Gencos is minimized and all operating constraints are satisfied. Various techniques are available to address ELD and other power system optimization problems. The soft computing techniques like particle swarm optimization (PSO), GA and lemda iteration are being used to improve the optimization results. This paper presents and compares the performance of the PSO, GA, and ABC with conventional ELD method for optimization of pool prices. A study on IEEE 26 Bus System has been made for calculating transmission Prices for Bilateral Contracts between GENCOs and DISCOs at different buses. Intelligent techniques have been applied to optimize pool prices and minimizing transmission losses. Transmission pricing are calculated using MWmile method. The results of these techniques are compared, which show better performance of ELD+PSO method over ELD+ABC and ELD+GA methods both.

Keywords

GA (Genetic Algorithm), PSO (Particle Swarm Optimization), ABC (Artificial Bee Colony), Pool Contracts, Transmission pricing, DISCO Participation Matrix (DPM), Independent System Operator (ISO).

How to Cite this Article?

Gupta S. K., and Gupta, D. (2018). Calculation of Transmission Prices for Bilateral Contracts and Optimization of Pool Contracts Using Intelligent Techniques. i-manager’s Journal on Electrical Engineering, 12(1), 33-40.

References

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

If you have access to this article please login to view the article or kindly login to purchase the article
Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.