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001 978-3-030-34050-6
003 DE-He213
005 20220801214526.0
007 cr nn 008mamaa
008 200106s2020 sz | s |||| 0|eng d
020 _a9783030340506
_9978-3-030-34050-6
024 7 _a10.1007/978-3-030-34050-6
_2doi
050 4 _aTK1001-1841
072 7 _aTHR
_2bicssc
072 7 _aTEC031000
_2bisacsh
072 7 _aTHR
_2thema
082 0 4 _a621.31
_223
245 1 0 _aOptimization of Power System Problems
_h[electronic resource] :
_bMethods, Algorithms and MATLAB Codes /
_cedited by Mahmoud Pesaran Hajiabbas, Behnam Mohammadi-Ivatloo.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXII, 382 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v262
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 _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.
650 0 _aElectric power production.
_927574
650 0 _aComputational intelligence.
_97716
650 1 4 _aElectrical Power Engineering.
_931821
650 2 4 _aMechanical Power Engineering.
_932122
650 2 4 _aComputational Intelligence.
_97716
700 1 _aPesaran Hajiabbas, Mahmoud.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_938874
700 1 _aMohammadi-Ivatloo, Behnam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_938875
710 2 _aSpringerLink (Online service)
_938876
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030340490
776 0 8 _iPrinted edition:
_z9783030340513
776 0 8 _iPrinted edition:
_z9783030340520
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v262
_938877
856 4 0 _uhttps://doi.org/10.1007/978-3-030-34050-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76442
_d76442