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020 _a9783030340506
024 7 _a10.1007/978-3-030-34050-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK1001
_b2020 EB
245 0 0 _aOptimization of Power System Problems :
_bMethods, Algorithms and MATLAB Codes
_cedited by Mahmoud Pesaran Hajiabbas, Behnam Mohammadi-Ivatloo.
250 _aPrimera edición 2020
264 1 _aCham
_bSpringer
_c2020
300 _a1 recurso en línea (XII, 382 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Systems Decision and Control
_x2198-4182
_v262
490 0 _aEngineering (Springer-11647)
505 0 _aModelling 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.
520 3 _aThis 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.
988 _aPrimersemestre_2020_Engineering
650 7 _2embne
_aRedes de energía eléctrica
_9153443
700 1 _aPesaran Hajiabbas, Mahmoud
_eeditor
700 1 _aMohammadi-Ivatloo, Behnam
_eeditor
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030340490
776 0 8 _iPrinted edition:
_z9783030340513
776 0 8 _iPrinted edition:
_z9783030340520
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-34050-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_eu
_zSI