Title
Bacteria Foraging Optimization Based Bidding Strategy Under Transmission Congestion
Abstract
This paper presents a methodology for an optimal bidding strategy of a supplier considering congestion influence and rivals' bidding behavior. Market splitting methodology, which is being used in Nord Pool as well as in the Indian electricity market, has been utilized to manage the congestion. Monte Carlo simulation (MCS) has been used to predict the bidding behavior of the rivals. In this paper, a bi-level optimization problem has been proposed to obtain the optimal bidding strategy of a supplier considering double-sided bidding. Lower level problem represents the market clearing process of the system operator (SO) and the upper level optimization problem represents the supplier's profit maximization function, which is a non-linear function. Bacteria foraging optimization (BFO) algorithm, a modern heuristic approach, has been used to obtain the global solution of the proposed bi-level optimization problem. The effectiveness of the proposed in method has been tested on a five-bus system and modified IEEE-30 bus system. Results obtained using the BFO algorithm have been compared with those obtained using a genetic algorithm (GA) based approach.
Year
DOI
Venue
2015
10.1109/JSYST.2013.2258229
Systems Journal, IEEE  
Keywords
DocType
Volume
Monte Carlo methods,optimisation,power markets,tendering,Indian electricity market,Monte Carlo simulation,Nord Pool,bacteria foraging optimization,bi-level optimization problem,congestion influence,five-bus system,market clearing process,market splitting methodology,modern heuristic approach,modified IEEE-30 bus system,nonlinear function,optimal bidding strategy,rivals bidding behavior,supplier profit maximization function,system operator,transmission congestion,upper level optimization problem,Bacteria foraging optimization (BFO) algorithm,Monte Carlo simulation (MCS),bi-level optimization problem,congestion management,optimal bidding strategy
Journal
9
Issue
ISSN
Citations 
1
1932-8184
5
PageRank 
References 
Authors
0.49
6
4
Name
Order
Citations
PageRank
Arvind Kumar Jain150.49
Suresh Chandra Srivastava250.49
S. N. Singh39913.38
Laxmi Srivastava48911.56