Page 229 - Mathematical Models and Algorithms for Power System Optimization

CHAPTER 7
Optimization Method for Load Frequency

Feed Forward Control

Chapter Outline
7.1 Introduction 222
7.1.1 Descriptions of the Problem 222
7.1.2 Overview of this Chapter 224
7.2 Basic Ideas of Modeling 225
7.2.1 Way of Formulating the Load Disturbance Model 226
7.2.2 Way of Constructing Estimator at All Levels 226
7.2.3 Way of Setting Up the Load Frequency Controller based on the Invariance Principle 227
7.2.4 Considerations of Transformation Methods for Linear Models 228
228
7.3 Identification of Load Disturbance Model ΔP L
7.3.1 Brief Descriptions of Time Series and Stochastic Process 229
7.3.2 Brief Descriptions of Linear Models for Stochastic Process 231
235
7.3.3 Identification of the Model ΔP L
236
7.3.4 Parameter Estimation of the Model ΔP L
7.4 Model for a Typical Power System 237
7.4.1 Generator Model 237
7.4.2 Turbogenerator Model 238
7.4.3 Hydrogenerator Model 240
7.4.4 Equivalent Generator Model of the Power System 244
7.5 Hierarchical Estimation for the Power System 245
7.5.1 Local Estimator 247
7.5.2 Central Estimator 248
248
7.5.3 Estimation and Forecasting of Load Disturbance ΔP L
7.6 Load Frequency Controller of the Power System 249
7.6.1 Invariance Principle 249
7.6.2 Load Frequency Control based on Invariance Principle 250
7.6.3 Simulation Procedure of Tracking Control 252
7.7 Transformation Methods of Linear Models 253
7.7.1 Transformation of Difference Equation into Differential Equation 254
7.7.2 Multual Transformation Method Between Difference Equations
(Successive Approximation Method) 258
7.7.3 Transformation Method From Differential Into Difference Transfer Function 260

Mathematical Models and Algorithms for Power System Optimization. https://doi.org/10.1016/B978-0-12-813231-9.00007-8
# 2019 China Electric Power Press. Published by Elsevier Inc. All rights reserved.
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