International Journal of Applied Power Engineering (IJAPE)
Vol 10, No 1: March 2021

Supplier side optimal bidding strategy for electricity market using bacterial foraging optimization algorithm

Uday Sriram L (JNT University)
Siva Nagaraju S (JNT University)
Chandram Karri (BITS-PILANI K.K Birla Goa Campus)



Article Info

Publish Date
01 Mar 2021

Abstract

In this article, bacterial foraging optimization (BFO) algorithm is developed for single side optimal bidding strategy in an electricity market. Optimal bidding strategy is one of the important functions in the electricity market along with forecasting of the electricity price and the profit based unit commitment. The prime objective of generating company (Genco) is to maximize their profit when they participate in the bidding pro-cess. The BFO algorithm has been used to maximize the probability density function (pdf). In the second stage the BFO algorithm is again applied to maximize the profit of the suppliers. The proposed algorithm is developed in MATLAB (Version, 2019) and tested on standard test case available in the literature. Also, the simulation results are presented and compared. It is noticed that the proposed method yields the best results in terms of profit.

Copyrights © 2021






Journal Info

Abbrev

IJAPE

Publisher

Subject

Electrical & Electronics Engineering

Description

International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in ...