Abstract | 第5页 |
Chapter 1: Introduction | 第10-15页 |
1.1 Background and meaning of the topic | 第10页 |
1.2 Research contents and objectives | 第10-13页 |
1.3 Organization of Thesis | 第13-15页 |
Chapter 2: System Frequency Control | 第15-33页 |
2.1 Introduction to literature review | 第15-17页 |
2.2 Impact of intermittent renewable energy sources to Power system | 第17-19页 |
2.3 Demand Response strategies to implement ancillary frequency response | 第19-22页 |
2.4 Introduction to HVAC Load control | 第22-29页 |
2.4.1 Air-Side HVAC systems | 第23-24页 |
2.4.2 PID control | 第24-25页 |
2.4.3 Model predictive control | 第25-27页 |
2.4.4 Adaptive Fuzzy Logic Control | 第27-29页 |
2.5 Low-Order System Frequency Response Model | 第29-33页 |
Chapter 3: Power System Frequency Response model and HVAC load control designs | 第33-54页 |
3.1 Power System Frequency Response Model with dynamic system parameters | 第33-35页 |
3.2 The HVAC aggregate model and its control | 第35-36页 |
3.3 Mathematical Formulation of Demand side response model | 第36-39页 |
3.4 Adaptive Fuzzy Logic control design for HVAC Systems | 第39-44页 |
3.4.1 Sizing of Water valve | 第40页 |
3.4.2 Sizing of steam valve | 第40页 |
3.4.3 Modelling of Air Handling Unit | 第40-42页 |
3.4.4 Fuzzy Rule Matrix Adaptation Algorithm | 第42-44页 |
3.5 Case study of the Power System Frequency Response model with A-FLC HVACloads | 第44-54页 |
3.5.1 Contribution of HVAC loads to Frequency Response | 第47-50页 |
3.5.2 Methodology for Evaluating System Operation | 第50-52页 |
3.5.3 Introduction of DR loads into System scheduling and Evaluation the Benefits ofDR | 第52-54页 |
Chapter 4: Result analysis of case study and discussion | 第54-59页 |
4.1 Simulation results of Adaptive Fuzzy Logic Control model for HVAC system | 第54-56页 |
4.2 Simulated scenarios for the Great Britain System | 第56-57页 |
4.3 Economic Benefits of DR in the system | 第57-59页 |
Chapter 5: conclusion and the scope of future work | 第59-61页 |
5.1 Conclusion | 第59页 |
5.2 Scope of Future work | 第59-61页 |
Acknowledgement | 第61-62页 |
References | 第62-65页 |