Application of Multi Objective Optimization Approach in Designing of Power System Stabilizers and Power System Stability Enhancement

作者：Ahmadzadeh M^*; Mortazavi S; Mohammadzadeh S; Heidari S V

来源：International Review of Electrical Engineering, 2010, 5(6): 2846-2854.

• PSS
• FACTS Devices
• Damping Controller
• Robustness
• Multi - Objective Genetic Approach
• Multi - Objective Function And Small Signal Stability

In this paper a new multi - objective genetic approach (MOGA) based optimization method is proposed for optimal coordinated selection of power system Stabilizers (PSS) and Flexible AC Transmission Systems (FACTS) devices. FACTS devices are containing Thyristor controlled Series Compensator (TCSC), Static var compensators (SVC), Thyristor Controlled phase shifter (TCPS) based conventional lead-lag damping controller. The controller's parameters are tuned in order to shift the lightly damped and undamped modes under nominal loading condition toward a prescribed stability region. The objective function includes system stability criteria (e.g., Integral of Time Absolute Error (ITAE) and sum of the squared errors of electrical torque) considering boundaries of controller parameters (as constraints). This approach is called MOFF (multi objective fitness function). Its robustness is tested under nominal loading condition. To select effective feedback signal for the damping controller, analysis of mode observability and the theoretical analysis of a Single- Machine Infinite-Bus (SMIB) are done. This modeling is done using its modified linearized Phillips-Heffron model installed with PSS and FACTS devices. Finally the results of proposed approach is compared by other approach (genetic algorithm approach (GA) and single objective fitness SOFF)). Obviously, in SOFF only one stability criteria is considered.

• 出版日期2010-12