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“Electricity Pricing: Regulated, Deregulated and Smart Grid Systems (English Edition)”,作者:[Sawan Sen, Samarjit Sengupta, Abhijit Chakrabarti]

Electricity Pricing: Regulated, Deregulated and Smart Grid Systems (English Edition) 1第一 版本, Kindle电子书

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Kindle电子书, 2018年9月3日



Sawan Sen holds a B.Sc, B.Tech, M.Tech, and Ph.D from the University of Calcutta, Kolkata, India. She is currently an associate professor in the Electrical Engineering Department of the Academy of Technology, Hooghly, India. Her main research interests include power system stability analysis, system performance enhancement, and different soft computing techniques for solving power system problems like congestion management, cost optimization, and electricity pricing under regulated, deregulated, and smart grid environments. Samarjit Sengupta holds a B.Sc, B.Tech, M.Tech, and Ph.D from the University of Calcutta, Kolkata, India. He is currently a professor of electrical engineering in the Department of Applied Physics at the University of Calcutta. He has published 130 journal papers and eight books on various topics of electrical engineering. His main research interests include power quality instrumentation, power system stability, and security and power system protection. He is a fellow of IET and IETE, as well as a senior member of IEEE. Abhijit Chakrabarti holds as Ph.D from the University of Calcutta, Kolkata, India. He is currently the vice chancellor of Jadavpur University, Kolkata, India and a professor at the Indian Institute of Engineering Science and Technology, Shibpur. Previously he served on the West Bengal State Council of Higher Education as vice chairman and chairman. A life fellow of IE, he has authored 123 research papers and 12 books, and received the Pandit Madan Mohan Malviya Power Medal. He is a member of the AICTE including the NBA, as well as a member of different expert and policymaking committees for various universities. --此文字指其他 kindle_edition 版本。


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 --此文字指其他 kindle_edition 版本。


  • ASIN ‏ : ‎ B07JPBXD18
  • 出版社 ‏ : ‎ CRC Press; 第 1st 版 (2018年9月3日)
  • 出版日期 ‏ : ‎ 2018年9月3日
  • 语言 ‏ : ‎ 英语
  • 文件大小 ‏ : ‎ 17945 KB
  • 同步设备使用情况: ‏ : ‎ 根据出版商限制,最多 4 台同步设备
  • 标准语音朗读 ‏ : ‎ 未启用
  • X-Ray ‏ : ‎ 未启用
  • 生词提示功能 ‏ : ‎ 未启用
  • 纸书页数 ‏ : ‎ 244页


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