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Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.
History of engineering & technology --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency
Choose an application
Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.
electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency
Choose an application
Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.
History of engineering & technology --- electricity markets --- economic dispatch --- optimization --- maximum capacity --- online operation --- power system --- unit commitment --- circuit breaker --- network modeling --- optimal power flow --- wind and solar energies --- gas insulated switchgear --- partial discharges --- electromagnetic wave propagation --- UHF measurement --- Security-Constraint Unit Commitment --- sensitivity factors --- user cuts --- power line communication (PLC) --- energy storage management --- vehicle to grid (V2G) --- smart grid --- multi-objective optimization --- population-based intelligent optimization algorithm --- multi-behavior combination --- algorithm framework --- Economic load dispatch (ELD) --- dragonfly algorithm --- metaheuristic --- particle swarm optimization --- cold-thermal-electricity integrated energy system --- multi-energy complementation --- feasible interval of load rate --- multi-objective --- multi time scales --- optimize operation --- earthing --- earthing system --- optimisation --- Ansys Maxwell --- sensitivity analysis --- touch voltage --- non-linear programming --- security-constrained OPF --- preventive control --- corrective control --- post-contingency overflow --- transmission line --- thermal inertia --- Three-phase optimal power flow --- voltage regulation --- distributed generation --- distribution transformer taps --- linear OPF problem --- shift-factors --- line outage distribution factors --- security-constrained --- corrective formulation --- preventive formulation --- klystron --- IOT --- resotrode --- efficiency --- microwave --- bunching --- computer simulation --- global optimization --- power quality disturbances --- classification --- feature selection --- swarm optimization --- support vector machine --- genetic algorithm --- K-NN algorithm --- decision tree --- S-transform --- optimization techniques --- hydroelectric --- renewable energy --- MCDM --- fuzzy theory --- FANP --- TOPSIS --- quadratically constrained quadratic programming --- contingency constrained optimal power flow --- isolated hybrid microgrid system (IHμGS) --- solar tower (ST) --- biodiesel power generator (BDPG) --- frequency regulation --- butterfly optimization technique (BOA) --- microgrid energy management --- electric vehicle --- microgrid --- energy efficiency
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Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems.
multiple-criteria decision-making --- underground mines --- mining methods --- expert knowledge --- failure mode and effects analysis --- solar panel systems --- step-wise weight assessment ratio analysis --- grey relational analysis --- Z-number theory --- B2C e-commerce factors --- website --- MCDM --- Fuzzy AHP --- TOPSIS-Grey --- China --- IoT --- platform selection --- multi criteria decision analysis (MCDA) --- AHP --- PROMETHEE-II --- Industry 4.0 --- data envelopment analysis --- conjoint analysis --- experimental design --- criteria importance --- weight restrictions --- subjective and objective teacher efficiency --- multi-objective planning --- reverse supply chain --- robust optimization --- uncertainty --- meta-heuristic algorithm --- steel making industry --- fuzzy PIPRECIA --- fuzzy EDAS --- railway --- multi-criteria decision-making --- transport policy --- Six Sigma (6σ) --- DMAIC --- vehicle fleet --- optimization --- text mining --- Multi-Attribute Decision Making (MADM), criteria selection --- weighting --- Prospective MADM --- Latent Semantic Analysis (LSA) --- SIMUS --- decision tree --- transport plan --- Laplace’s criterion --- Hurwitz’s criterion --- q-rung orthopair fuzzy numbers --- q-rung orthopair fuzzy prioritized weighted average operator --- q-rung orthopair fuzzy prioritized weighted geometric operator --- green supply chain management --- fuzzy theory --- sustainable development --- SCOR model --- FAHP --- PROMETHEE II --- textile and garments industry --- sustainable supplier selection --- MCDA --- efficiency --- DEA --- SFA --- classification --- dimensionality reduction --- q-ROFNs --- Einstein operators --- prioritized aggregation operators --- multi-criteria group decision making --- hazardous materials --- vehicle route model (VRP) --- uncertainty theory --- chance constrained programming model --- hybrid intelligent algorithm --- linear Diophantine fuzzy set --- linear Diophantine fuzzy soft rough set --- soft rough linear Diophantine fuzzy set --- upper reduct and lower reduct --- core set --- multi-criteria decision making --- q-Rung orthopair fuzzy sets --- geometric aggregation operators based on generalized and group-generalized parameters --- water loss management --- decision making --- intuitionistic fuzzy sets --- the COMET method --- service quality --- fuzzy set --- Jensen–Shannon divergence --- shapley function --- TODIM --- port-hinterland transportation system --- bi-objective programming --- intermodal transportation --- carbon emissions --- uncertain demand --- distributionally robust --- chance constraint --- Yangtze River Economic Belt --- multi-criteria decision-analysis --- MCDA benchmark --- normalization --- entropy --- decision-making methods --- multi-criteria problems --- evolutionary algorithms --- machine learning --- fuzzy logic --- uncertain data --- consistency weights --- fuzzy preference relation (FPR) --- hesitant fuzzy preference relation (HFPR) --- Łukasiewicz consistency --- normal hesitant fuzzy preference relation (NHFPR) --- multiple criteria decision-making (MCDM) --- outsourcing provider --- DEMATEL --- CRITIC --- TOPSIS --- comparison measure --- representation --- disjoint --- multiplicative preference relation (MPR) --- group decision-making (GDM) --- incomplete fuzzy preference relation (IFPR) --- TL-consistency --- cubic m-polar fuzzy set --- Dombi’s operations --- cubic m-polar fuzzy aggregation operators with P-order (R-order) --- SIR technique --- complex networks --- social networks --- viral marketing --- information propagation --- crisp probability --- interval probability --- influence diagrams --- circuit breakers --- granular computing --- interval-valued --- intuitionistic fuzzy set --- multiple granulation --- ordered information system
Choose an application
Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems.
Information technology industries --- multiple-criteria decision-making --- underground mines --- mining methods --- expert knowledge --- failure mode and effects analysis --- solar panel systems --- step-wise weight assessment ratio analysis --- grey relational analysis --- Z-number theory --- B2C e-commerce factors --- website --- MCDM --- Fuzzy AHP --- TOPSIS-Grey --- China --- IoT --- platform selection --- multi criteria decision analysis (MCDA) --- AHP --- PROMETHEE-II --- Industry 4.0 --- data envelopment analysis --- conjoint analysis --- experimental design --- criteria importance --- weight restrictions --- subjective and objective teacher efficiency --- multi-objective planning --- reverse supply chain --- robust optimization --- uncertainty --- meta-heuristic algorithm --- steel making industry --- fuzzy PIPRECIA --- fuzzy EDAS --- railway --- multi-criteria decision-making --- transport policy --- Six Sigma (6σ) --- DMAIC --- vehicle fleet --- optimization --- text mining --- Multi-Attribute Decision Making (MADM), criteria selection --- weighting --- Prospective MADM --- Latent Semantic Analysis (LSA) --- SIMUS --- decision tree --- transport plan --- Laplace’s criterion --- Hurwitz’s criterion --- q-rung orthopair fuzzy numbers --- q-rung orthopair fuzzy prioritized weighted average operator --- q-rung orthopair fuzzy prioritized weighted geometric operator --- green supply chain management --- fuzzy theory --- sustainable development --- SCOR model --- FAHP --- PROMETHEE II --- textile and garments industry --- sustainable supplier selection --- MCDA --- efficiency --- DEA --- SFA --- classification --- dimensionality reduction --- q-ROFNs --- Einstein operators --- prioritized aggregation operators --- multi-criteria group decision making --- hazardous materials --- vehicle route model (VRP) --- uncertainty theory --- chance constrained programming model --- hybrid intelligent algorithm --- linear Diophantine fuzzy set --- linear Diophantine fuzzy soft rough set --- soft rough linear Diophantine fuzzy set --- upper reduct and lower reduct --- core set --- multi-criteria decision making --- q-Rung orthopair fuzzy sets --- geometric aggregation operators based on generalized and group-generalized parameters --- water loss management --- decision making --- intuitionistic fuzzy sets --- the COMET method --- service quality --- fuzzy set --- Jensen–Shannon divergence --- shapley function --- TODIM --- port-hinterland transportation system --- bi-objective programming --- intermodal transportation --- carbon emissions --- uncertain demand --- distributionally robust --- chance constraint --- Yangtze River Economic Belt --- multi-criteria decision-analysis --- MCDA benchmark --- normalization --- entropy --- decision-making methods --- multi-criteria problems --- evolutionary algorithms --- machine learning --- fuzzy logic --- uncertain data --- consistency weights --- fuzzy preference relation (FPR) --- hesitant fuzzy preference relation (HFPR) --- Łukasiewicz consistency --- normal hesitant fuzzy preference relation (NHFPR) --- multiple criteria decision-making (MCDM) --- outsourcing provider --- DEMATEL --- CRITIC --- TOPSIS --- comparison measure --- representation --- disjoint --- multiplicative preference relation (MPR) --- group decision-making (GDM) --- incomplete fuzzy preference relation (IFPR) --- TL-consistency --- cubic m-polar fuzzy set --- Dombi’s operations --- cubic m-polar fuzzy aggregation operators with P-order (R-order) --- SIR technique --- complex networks --- social networks --- viral marketing --- information propagation --- crisp probability --- interval probability --- influence diagrams --- circuit breakers --- granular computing --- interval-valued --- intuitionistic fuzzy set --- multiple granulation --- ordered information system
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