Optimization Methods Applied to Power Systems: Volume 2
This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programmin...
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| Format: | E-Book |
| Sprache: | Englisch |
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MDPI - Multidisciplinary Digital Publishing Institute
2019
MDPI |
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| ISBN: | 3039211560, 3039211579, 9783039211562, 9783039211579 |
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| Abstract | This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc. |
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| AbstractList | This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc. |
| Author | Montoya, Francisco G Baños Navarro, Raúl |
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| Snippet | This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of... |
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| SubjectTerms | AC/DC hybrid active distribution active distribution system active shielding adaptive consensus algorithm affine arithmetic affinity propagation clustering artificial bee colony artificial lighting battery energy storage system bio-inspired algorithms building energy management system C&I particle swarm optimization Cable joint calibration Cameroon CCHP system chaos optimization algorithm (COA) charging/discharging congestion management consensus considerable decomposition constrained parameter estimation controllable response cost minimization cross-entropy current margins data center day-ahead load forecasting DC optimal power flow decentralized and collaborative optimization demand bidding demand response demand uncertainty dependability developed grew wolf optimizer discrete wind driven optimization distributed generations (DGs) distributed heat-electricity energy management distribution network reconfiguration dragonfly algorithm dynamic solving framework economic load dispatch problem (ELD) eight searching sub-regions electric energy costs electric power contracts electric vehicle electric vehicles energy flow model energy internet energy management energy storage energy storage system ETAP evolutionary algorithms evolutionary computation extended Kalman filter feature selection fitness function fuzzy algorithm generalized generation distribution factors genetic algorithm GenOpt geometric algebra heterogeneous networks hierarchical scheduling History of engineering and technology HOMER software HVAC system hybrid membrane computing hybrid method hybrid renewable energy system IEEE Std. 80-2000 integration assessment intelligent scatter search inter-turn shorted-circuit fault (ISCF) interactive load internal defect interval variables islanded microgrid JAYA algorithm linear discriminant analysis (LDA) load curtailment loss minimization low-voltage networks magnetic field mitigation metaheuristic micro grid micro-phasor measurement unit MILP modular predictor multi-objective particle swarm optimization multi-objective particle swarm optimization algorithm multi-population method (MP) multi-stakeholders multiobjective optimization mutual information theory MV/LV substation n/a neural network non-sinusoidal circuits off-design performance off-grid optimal congestion threshold optimal operation optimal power flow optimal reactive power dispatch optimization optimization methods optimizing-scenarios method overhead particle encoding method particle swarm optimization passive shielding PCS efficiency photovoltaic piecewise linear techniques power architectures power factor compensation power flow power optimization power system optimization power system unit commitment power systems power transfer distribution factors principal component analysis prosumer pumped-hydro energy storage radial basis function radiance renewable energy sources ringdown detection runner-root algorithm (RRA) rural electrification Schwarz’s equation simulation smart grid SOCP relaxations Stackelberg game stochastic optimization stochastic state estimation street light points strong track filter (STF) sub-Saharan Africa support vector machine sustainability switched reluctance machine (SRM) T1-995 TA1-2040 tabu search Technology, Engineering, Agriculture, Industrial processes Technology: general issues the biomimetic membrane computing the genetic algorithm based P system thermal probability density transformer-fault diagnosis transient stability two-point estimation method two-stage feature selection underground unit commitment virtual power plant voltage deviation wind energy wind power |
| Title | Optimization Methods Applied to Power Systems: Volume 2 |
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