Multi-objective electricity market clearing considering dynamic security by lexicographic optimization and augmented epsilon constraint method

Authors:
J. Aghaei;N. Amjady;H. A. Shayanfar
Affiliations:
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran;Department of Electrical Engineering, Semnan University, Semnan, Iran;Center of Excellence for Power System Automation and Operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Venue:
Applied Soft Computing
Year:
2011

Citing 1
Cited 2

Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems

SIAM Journal on Optimization

Mixed integer programming of multiobjective hydro-thermal self scheduling

Applied Soft Computing
An approximate ϵ-constraint method for a multi-objective job scheduling in the cloud

Future Generation Computer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new multi-objective model for electricity market clearing, considering both voltage and dynamic security aspects of the power system, is proposed. The objective functions of the proposed model include offer cost, voltage stability margin (VSM) and corrected transient energy margin (CTEM). A new solution method incorporating the lexicographic optimization and augmented @?-constraint method is proposed to solve the multi-objective optimization problem. The New England test system is used to demonstrate the performance of the proposed method. The proposed strategy is also compared with the conventional @?-constraint technique.