FACTS devices allocation for congestion management considering voltage stability by means of MOPSO

FACTS Devices Allocation With Control Coordination Considering Congestion Relief and Voltage Stability

“…This function is formulated as follows: Minimize (13) subject to constraints for generation re-scheduling (14) constraints for current loading condition (15) constraints for stressed loading condition (16) constraints to satisfy minimum loading margin (17) Constraints in (14) are intended to express coupling between normal state and contingency states and to ensure that compensations are always positive values. In case of contingency, demands have no option to increase their power exceeding the power demand determined in normal state.…”

“…By extending the methods in [11], [13], and [15], the proposed method accurately evaluates the annual cost and benefits obtainable by FACTS installation by formulating a large-scale optimization problem that contains power flow analyses for a large number of system states representing annual power system operations. In addition, dynamic state transitions caused by specified contingencies are also simulated in the optimization problem to evaluate the benefit of FACTS control actions.…”

Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: A review

“…In [80], the same methodology has been adopted when the objective is just maximising damping ratio ξ À Á . In [81], optimal location and setting of TCSC is found in order to minimise generation cost and FACTS devices cost while keeping line power flows within thermal limits The problem has been solved by MOPSO based on σ-approach for leader selection. In [82], optimal location and setting of SVC's are determined in a way that the overall cost considering system security during possible system transition states is minimised for different load levels.…”

“…However, a limited number of MOPSO approaches have been applied to FACTS allocation problem. Actually, linear weighted sum in [41,47,48,[51][52][53][54][55]59,61,62,[71][72][73][75][76][77][78][79][80][84][85][86][87]89,[92][93][94][95][96][97][98][99][100], σ-based MOPSO in [50,81,[101][102][103], fitness-sharing-based MOPSO in [104] and crowding-distance based non-dominated sorting MOPSO has been used in [101][102][103]. Among the mentioned MOPSO approaches, linear weighted sum is the most commonly used approach due to its simplicity.…”

Congestion Management by Optimal Allocation of Facts Controllers Using Hybrid Fish Bee Optimization

“…The concept of voltage stability index was proposed by Wibowo et al (2009). A multi objective Particle Swarm Optimization was used to optimize generation and installation cost.…”