This chapter has been focused on application of metaheuristic population-based optimization methods to solution of the OPF problem.

Chapter Contents:

• 6.1 Introduction
• 6.2 Literature overview
• 6.3 Formulation of the OPF problem
• 6.3.1 Equality constraints
• 6.3.2 Inequality constraints
• 6.3.3 Objective function
• 6.3.3.1 Minimization of fuel cost
• 6.3.3.2 Minimization of active power loss
• 6.3.3.3 Voltage-profile improvement
• 6.3.3.4 Voltage-stability enhancement
• 6.3.4 Multiobjective function
• 6.3.4.1 Minimization of fuel cost and active power loss
• 6.3.4.2 Minimization of fuel cost and voltage deviation
• 6.3.4.3 Minimization of fuel-cost and voltage-stability index
• 6.3.4.4 Other multiobjective functions
• 6.3.5 Transient-stability-constrained OPF
• 6.4 Solution methodology for OPF problem
• 6.4.1 Overview of PSO
• 6.4.2 Application of PSO to the OPF problem
• 6.4.3 Overview of GSA
• 6.4.4 Application of GSA to the OPF problem
• 6.4.5 Overview of hybrid PSOGSA
• 6.4.6 Application of PSOGSA to the OPF problem
• 6.5 Simulation results
• 6.5.1 IEEE 30-bus test system
• 6.5.1.1 Case 1: minimization of fuel cost
• 6.5.1.2 Case 2: minimization of fuel cost with considering the valve-point effect
• 6.5.1.3 Case 3: minimization of fuel cost and active power loss
• 6.5.1.4 Case 4: minimization of fuel cost and voltage deviation
• 6.5.1.5 Case 5: minimization of fuel cost and voltage-stability index
• 6.5.1.6 Comparative study
• 6.5.2 IEEE 118-bus test system
• 6.6 Solution software—opfgui
• 6.7 Conclusion
• References

Inspec keywords: optimisation; transmission networks; load flow

Other keywords: OPF problem; optimal power flow; metaheuristic population-based optimization methods; transmission networks

Subjects: Optimisation techniques; Power transmission, distribution and supply