Optimization of Power System Operation
Optimization of Power System Operation
Oct 2008, Wiley-IEEE Press
DescriptionLearn to apply optimization methods to solve power system operation problems
Optimization of Power System Operation applies the latest applications of new technologies to power system operation and analysis, including several new and important content areas that are not covered in existing books: uncertainty analysis in power systems; steady-state security regions; optimal load shedding; and optimal reconfiguration of electric distribution networks.
The book covers both traditional and modern technologies, including power flow analysis, steady-state security region analysis, security-constrained economic dispatch, multi-area system economic dispatch, unit commitment, optimal power flow, reactive power (VAR) optimization, optimal load shed, optimal reconfiguration of distribution network, power system uncertainty analysis, power system sensitivity analysis, analytic hierarchical process, neural network, fuzzy set theory, genetic algorithm, evolutionary programming, and particle swarm optimization, among others. Additionally, new topics such as the wheeling model, multi-area wheeling, the total transfer capability computation in multiple areas, reactive power pricing calculation, and others are also addressed.
Power system engineers, operators, and planners will benefit from this insightful resource. It is also of great interest to advanced undergraduate and graduate students in electrical and power engineering.
1.1 Conventional Methods.
1.2 Intelligent Search Methods.
1.3 Application of Fuzzy Set Theory.
2 Power Flow Analysis.
2.1 Mathematical Model of Power Flow.
2.2 Newton–Raphson Method.
2.3 Gauss–Seidel Method.
2.4 P-Q decoupling Method.
2.5 DC Power Flow.
3 Sensitivity Calculation.
3.2 Loss Sensitivity Calculation.
3.3 Calculation of Constrained Shift Sensitivity Factors.
3.4 Perturbation Method for Sensitivity Analysis.
3.5 Voltage Sensitivity Analysis.
3.6 Real-Time Application of Sensitivity Factors.
3.7 Simulation Results.
4 Classic Economic Dispatch.
4.2 Input-Output Characteristic of Generator Units.
4.3 Thermal System Economic Dispatch Neglecting Network Losses.
4.4 Calculation of Incremental Power Losses.
4.5 Thermal System Economic Dispatch with Network Losses.
4.6 Hydrothermal System Economic Dispatch.
4.7 Economic Dispatch by Gradient Method.
4.8 Classic Economic Dispatch by Genetic Algorithm.
4.9 Classic Economic Dispatch by Hopfi eld Neural Network.
5 Security-Constrained Economic Dispatch.
5.2 Linear Programming Method.
5.3 Quadratic Programming Method.
5.4 Network Flow Programming Method.
5.5 Nonlinear Convex Network Flow Programming Method.
5.6 Two-Stage Economic Dispatch Approach.
5.7 Security-Constrained ED by Genetic Algorithms.
6 Multiarea System Economic Dispatch.
6.2 Economy of Multiarea Interconnection.
6.4 Multiarea Wheeling.
6.5 MAED Solved by Nonlinear Convex Network Flow Programming.
6.6 Nonlinear Optimization Neural Network Approach.
6.7 Total Transfer Capability Computation in Multiareas.
7 Unit Commitment.
7.2 Priority Method.
7.3 Dynamic Programming Method.
7.4 Lagrange Relaxation Method.
7.5 Evolutionary Programming-Based Tabu Search Method.
7.6 Particle Swarm Optimization for Unit Commitment.
7.7 Analytic Hierarchy Process.
8 Optimal Power Flow.
8.2 Newton Method.
8.3 Gradient Method.
8.4 Linear Programming OPF.
8.5 Modifi ed Interior Point OPF.
8.6 OPF with Phase Shifter.
8.7 Multiple-Objectives OPF.
8.8 Particle Swarm Optimization for OPF.
9 Steady-State Security Regions.
9.2 Security Corridors.
9.3 Traditional Expansion Method.
9.4 Enhanced Expansion Method.
9.5 Fuzzy Set and Linear Programming.
10 Reactive Power Optimization.
10.2 Classic Method for Reactive Power Dispatch.
10.3 Linear Programming Method of VAR Optimization.
10.4 Interior Point Method for VAR Optimization Problem.
10.5 NLONN Approach.
10.6 VAR Optimization by Evolutionary Algorithm.
10.7 VAR Optimization by Particle Swarm Optimization Algorithm.
10.8 Reactive Power Pricing Calculation.
11 Optimal Load Shedding.
11.2 Conventional Load Shedding.
11.3 Intelligent Load Shedding.
11.4 Formulation of Optimal Load Shedding.
11.5 Optimal Load Shedding with Network Constraints.
11.6 Optimal Load Shedding without Network Constraints.
11.7 Distributed Interruptible Load Shedding.
11.8 Undervoltage Load Shedding.
11.9 Congestion Management.
12 Optimal Reconfi guration of Electrical Distribution Network.
12.2 Mathematical Model of DNRC.
12.3 Heuristic Methods.
12.4 Rule-Based Comprehensive Approach.
12.5 Mixed-Integer Linear Programming Approach.
12.6 Application of GA to DNRC.
12.7 Multiobjective Evolution Programming to DNRC.
12.8 Genetic Algorithm Based on Matroid Theory.
13 Uncertainty Analysis in Power Systems.
13.2 Defi nition of Uncertainty.
13.3 Uncertainty Load Analysis.
13.4 Uncertainty Power Flow Analysis.
13.5 Economic Dispatch with Uncertainties.
13.6 Hydrothermal System Operation with Uncertainty.
13.7 Unit Commitment with Uncertainties.
13.8 VAR Optimization with Uncertain Reactive Load.
13.9 Probabilistic Optimal Power Flow.
13.10 Comparison of Deterministic and Probabilistic Methods.