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List of Figures List of Tables Preface About the Authors List of Principal Symbols List of Abbreviations Prologue Motivation of the Book Contributions of the Book Organization of the Book Background and Literature Survey Introduction Power Network Performance Evaluation Importance of Voltage Stability on Performance Evaluation Significance of Compensation Techniques Optimization Methods with System Performance and Cost Emphasis Enrichment of Cost-Governed System Performance in Smart Grid Arena Concluding Remarks on Existing Efforts Annotating Outline Analysis of Voltage Stability of Longitudinal Power Supply System Using an Artificial Neural Network Introduction Theoretical Development of Voltage Stability and Voltage Collapse Theoretical Background of Voltage Instability and Its Causes Few Relevant Analytical Methods and Indices for Voltage Stability Assessment Theory of ANN Attributes of ANNs Analysis of Voltage Stability of Multi-Bus Power Network Classical Analysis of Voltage Stability Application of ANN on Voltage Stability Analysis Summary Annotating Outline Improvement of System Performances Using FACTS and HVDC Introduction Development of FACTS Controllers Modeling of Shunt Compensating Device Modeling of Series Compensating Device Prologue of High-Voltage Direct Current (HVDC) System Modeling of DC Link Improvement of System Performance Using FACTS and HVDC Improvement of Voltage Profile of Weak Bus Using SVC Application of ANN for the Improvement Voltage Profile Using SVC Application of TCSC and HVDC for Upgrading of Cost-Constrained System Performance Summary Annotating Outline Multi-Objective Optimization Algorithms for Deregulated Power Market Introduction Deregulated Power Market Structure Soft Computing Methodologies for Power Network Optimizations Overview of Genetic Algorithm Overview of Particle Swarm Optimization Overview of Differential Evolution Algorithms for Utility Optimization with Cost and Operational Constraints Genetic Algorithm-Based Cost-Constrained Transmission Line Loss Optimization GA-Based Generation Cost-Constrained Redispatching Schedules of GENCOs Congestion Management Methodologies Generator Contribution-Based Congestion Management Using Multi-Objective GA DE- and PSO-Based Cost-Governed Multi-Objective Solutions in Contingent State Mitigation of Line Congestion and Cost Optimization Using Multi-Objective PSO Swarm Intelligence-Based Cost Optimization for Contingency Surveillance Summary Annotating Outline Application of Stochastic Optimization Techniques in the Smart Grid Introduction Smart Grid and Its Objectives Concept of the Smart Grid Elementary Objectives of the Smart Grid and Demand Response Demand Response-Based Architecture of the Smart Grid Effect of DR on the Smart Grid Scenario Cost Component of the Smart Grid Smart Grid: Cost-Benefit Analysis Swarm Intelligence-Based Utility and Cost Optimization Cost Objective and Operating Constraints of the Work Theory of Cost-Regulated Curtailment Index (CI) Cost Realization Methodology Implementation with Swarm Intelligence Implementation of the Cost-Effective Methodology with DR Connectivity Summary Annotating Outline Epilogue Summary and Conclusions Future Scope References Appendix A: Description of Test Systems Appendix B: Development of System Performance Indices Index