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


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.


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.


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