MULTI-OBJECTIVE CONGESTION MANAGEMENT OF TRANSMISSION LINES USING DEMAND RESPONSE AND STATIC VAR COMPENSATORS

Abstract

This paper presents multi-objective congestion management of transmission lines using time-of-use (TOU) based demand response (DR) program and static var compensator (SVC). Congestion of transmission lines is managed, while system parameters such as generation fuel cost and active power losses are reduced, in addition to enhancement of bus voltages. The SVC was modeled as a reactive power injector, while the TOU–based DR was modeled using the price elasticity of demand for responsive loads. Particle swarm optimization was used for the optimal placement and sizing of the SVCs, considering the rolled-out DR program in MATLAB/MATPOWER. The DR program was first tested separately on the IEEE-30 bus test system to show its effects on the afore-mentioned system parameters. Subsequently, the DR program was combined with the SVC, and again tested on the IEEE-30 bus test system. The results showed a significant improvement of 1.414% on the voltage profile, 44.65% reduction on the generation fuel cost, and much significant 71.13% reduction on the system losses with the proposed method, compared with the Base Case Scenario (the Peak Period) where there was congestion. This shows the effectiveness of the proposed hybridized DR-SVC method in congestion management of transmission lines.

Keywords

• congestion
• demand response
• static var compensator
• particle swarm optimization