<p><B>Model Based Fuzzy Control</B> uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of
Modeling, Control, Estimation, and Optimization for Microgrids-A Fuzzy-Model-Based Method
โ Scribed by Zhixiong Zhong (Author)
- Publisher
- CRC Press
- Year
- 2019
- Leaves
- 401
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Due to increasing economic and environmental pressures, small-scale grids have received increasing attention in the last fifteen years. These renewable sources, such as solar PVs, wind turbines, and fuel cells, integrated with grid, have changed the way we live our lives. This book describes microgrid dynamics modeling and nonlinear control issues from introductory to the advanced steps. The book addresses the most relevant challenges in microgrid protection and control including modeling, uncertainty, stability issues, local control, coordination control, power quality, and economic dispatch.
โฆ Table of Contents
1. Fuzzy Modeling and Control of PV Generators 2. Fuzzy Modeling and Control of Wind Power 3. Fuzzy Modeling and Control Energy Storage Systems 4. Centralized Fuzzy Control 5. Decentralized Fuzzy Control 6.Distributed Fuzzy Control 7. Operation of Microgrid 8.Optimization of Microgrid 9.Fuzzy Control with Network-Induced Delay 10. Event-Triggered Fuzzy Control 11. Estimation and Compensation for TDS Attack
๐ SIMILAR VOLUMES
<p><P>The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geome
<p><P>The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geome
The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geometric P