Optimization of Power System Problems
Methods, Algorithms and MATLAB Codes
Mahmoud Pesaran Hajiabbas (Redaktør) ; Behnam Mohammadi-Ivatloo (Redaktør)
This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB.
Providing a reliable and secure power and energy system is one of the main challenges of the new era. Les mer
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This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB.
Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear
multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power
system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks,
but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate
and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical
and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical
background.
- FAKTA
-
Utgitt:
2020
Forlag: Springer Nature Switzerland AG
Innbinding: Innbundet
Språk: Engelsk
Sider: 382
ISBN: 9783030340490
Format: 24 x 16 cm
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Modelling for Composite Load Model Including Participation of Static and Dynamic Load.- A novel forward-backward sweep based
optimal DG placement approach in radial distribution systems.- Optimal capacitor placement in distribution systems using backward-forward
sweep based load flow method.- Optimal capacitor placement and sizing in distribution networks.- Binary Group Search Optimization
for Distribution Network Reconfiguration.- Combined heat and power economic dispatch using particle swarm optimization.- Combined
heat and power stochastic dynamic economic dispatch using particle swarm optimization considering load and wind power uncertainties.-
Economic dispatch of multiple-chiller plants using Wild Goats algorithm.- Optimization of tilt angle for intercepting maximum
solar radiation for power generation.- Probabilistic power flow analysis of distribution systems using Monte Carlo simulations.-
Long-Term Load Forecasting Approach Using Dynamic Feed-Forward Back-Propagation Artificial Neural Network.- Multi-objective
economic and emission dispatch using MOICA: a competitive study.- Voltage Control by Optimized Participation of Reactive Power
Compensation Using Fixed Capacitor and STATCOM.- Backward-forward sweep based power flow algorithm in distribution systems.