Page 291 - Mathematical Models and Algorithms for Power System Optimization

CHAPTER 8
Local Decoupling Control Method for

Transient Stability of a Power System

Chapter Outline
8.1 Introduction 284
8.1.1 Description of the Problem 284
8.1.2 Investigating the Feasibility of System Stability Control based on Local Information 286
8.1.3 Overview of This Chapter 286
8.2 Basic Ideas of Solving the Problem 287
8.2.1 Analysis of Two Scenarios in Power System Instability 287
8.2.2 Purposes of Introducing an Observation Decoupled State Space 288
8.2.3 Two Stage Countermeasures in Local Stability Controls 289
8.3 Basic Concepts of Control Criteria based on Local Control 290
8.3.1 Simplified Model and Typical Network of the Power System 290
8.3.2 Basic Concept of the First Stage Control Criterion (Energy Equilibrium) 292
8.3.3 Basic Concept of the Second Stage Control Criterion (Norm Reduction) 294
8.4 Formulation and Proof of the First Stage Control Criterion (Energy Equilibrium) 305
8.5 Formulation and Proof of the Second Stage Control Criterion (Norm Reduction) 307
8.5.1 Mathematical Model of the Observation Decoupled State Space 307
8.5.2 Proof of Topology Equivalence Between Observation Decoupled State Space and Original
System State Space 310
8.5.3 Proof of Topology Equivalence Between Different Forms of Observation Decoupled State
Space and Original System State Space 327
8.5.4 Origin of Observation Decoupled State Space 329
8.5.5 Sufficient Condition for Convergence of the Second Stage Control
(Norm Reduction) 332
8.6 General Simulation Calculation Procedure in Two-Stage Control 332
8.6.1 Simplified Assumptions and Network Diagram 333
8.6.2 Variables of Measurement and Calculation in Online Control 334
8.6.3 Preprocessing of Calculations 335
8.6.4 Main Steps of Simulation Calculation Procedure 337

Mathematical Models and Algorithms for Power System Optimization. https://doi.org/10.1016/B978-0-12-813231-9.00008-X
# 2019 China Electric Power Press. Published by Elsevier Inc. All rights reserved.
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