CAU Scholar's Space: Kim, Mun-Kyeom

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Kim, Mun-Kyeom (김문겸)

공과대학 (에너지시스템 공학부)

Research Area: Smart Hybrid AC/DC Power System, AI-based- Smart Power Network, Real-time Energy Market Design

Tel 02-820-5271
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Benders decomposition:6||Optimization:5||flexibility:5||battery energy storage system:5||ramping capability shortage expectation:4||uncertainty:4||Predictive models:4||demand response:4||Optimal power flow:4||Available transfer capability:4||Forecasting:4||Microgrid:4||Renewable energy sources:3||Load modeling:3||Maintenance strategy:3||Electricity market:3||Benders' decomposition:3||Uncertainty:3||Costs:3||Bidding strategy:3||Particle swarm optimization:3||Nonparametric test:2||optimal power flow:2||Energy management system:2||Continuation power flow:2||total transfer capability:2||penalty factor:2||permanent magnet synchronous generator:2||unit commitment:2||Biological system modeling:2||Coordination:2||power system reliability:2||Fuzzy set theory:2||Weibull distribution:2||Correlation:2||available transfer capability:2||Deep learning:2||Parameter extraction:2||maximum power point tracking:2||renewable energy resources:2||Generation maintenance scheduling:2||Nash equilibrium:2||forecasting:2||Renewable energy:2||Internet of Things:2||multiagent system:2||multiobjective optimization:2||frequency support control:2||fuzzy logic:2||Nodal congestion price (NCP):2||Generators:2||Battery energy storage system:2||Marketclearing model:2||Demand response:2||Noncooperative game:2||Bender's decomposition:2||operating cost:2||Scheduling:2||Distribution network:1||Distribution networks:1||Distribution system:1||Droop control:1||EAF:1||EMTDC:1||Economic operation:1||Economics:1||Edge Computing:1||Eigenvalue sensitivity:1||Electric arc furnace:1||Electric mobility:1||Electric vehicle:1||Electric vehicle charging:1||Electric vehicle charging station:1||Electricity:1||Energy Management System:1||Energy band:1||Energy management:1||Energy storage:1||Energy storage system:1||Energyefficient computing:1||Enhanced Algorithm:1||Enhanced grey wolf optimizer and particle swarm optimization (EGWOPSO):1||Enhanced model reference adaptive control (EMRAC):1||Equipment state model:1||Evolutionary game theory:1||Expected utility theory:1||Exponentialhyperbolic:1||FOPIFractional Order PI:1||Fastvarying solar irradiation:1||Firefly Algorithm:1||Flexible ramping product:1||Flexible risk constrainedoptimal power flow:1||Fluctuations:1||Fog Computing:1||Fog computing:1||Four diode model:1||Frequency support control:1||Fuzzyclustering:1||GZSI Gamma ZSource Inverter:1||Game theory:1||Gaussianbased regularized particle swarm optimization:1||Generation schedule:1||Generator failure:1||Green IoT:1||Green computing:1||Grid frequency:1||Gridconnected PV systems:1||HC hysteresis Controller:1||Hidden Markov models:1||Home appliances:1||Hybrid Optimization Algorithms:1||Hybrid demand response:1||Hybrid integrated system:1||Imputation:1||Indirect costs:1||Intelligent Algorithms:1||Intelligent management grid:1||Interarea oscillations:1||Interconnected power system:1||Inverters:1||Investment:1||Kmeans clustering:1||KEPCO(Korea Electric Power Corporation):1||Kinetic Energy discharge control:1||LMP:1||Levenbergmarquardt algorithm:1||Load flow:1||Load reduction:1||Load serving entity:1||Local Level Network:1||Local marginal price:1||Locational marginal price:1||Locational marginal price (LMP):1||Logic gates:1||Long ShortTerm Memory:1||MPC:1||MPPT:1||Machine learning:1||Maintenance priority index:1||Market Price:1||Market auction model:1||Market value:1||Marketclearing:1||Markov chain model:1||Mathematical modeling:1||Mathematical modelling:1||Matrix converter:1||Microgrid Optimization:1||Mixedinteger nonlinear programming:1||Modified nondominated sorting genetic algorithm II:1||Monte carlo simulation (MCS):1||Multi Microgrid:1||Multiobjective:1||Multiobjective PSO:1||Multiscenario tree method:1||Multistage corrective action:1||Multiterminal VSC HVDC:1||Multiterminal VSCHVDC:1||NLFE (Net load forecast error):1||Network charging:1||Neural Network:1||Nextgeneration smart grid:1||Nodal congestion price:1||Nodal price (NP):1||Nodal spot price:1||Noise:1||NonParametric Test:1||Nondominated sorting genetic algorithm:1||Nord pool:1||OPEX:1||Optics:1||Optimal energy trading management:1||Optimal generation scheduling:1||Optimal scheduling:1||Optimization algorithm:1||Overhead transmission line:1||PM machines:1||PMSG:1||PRProportional Resonant:1||PSCAD:1||PV forecasting errors:1||Particle Swarm Optimization:1||Permanent Magnet Synchronous Generator:1||Perovskite materials:1||Perovskite solar cells:1||Photovoltaic (PV) system:1||Photovoltaic:1||Photovoltaic systems:1||Piecewise linear ramp limit:1||Power electronics:1||Power factor:1||Power loss:1||Power markets:1||Power quality:1||Power system reliability:1||Power systems:1||Power transfer capability:1||Power transmission system:1||Predictive modeling:1||Pricing:1||Probabilistic securityconstrained optimal power flow (PSCOPF):1||Probability Density Function:1||Proton Exchange Membrane Fuel Cell:1||Pumped hydroelectric storage:1||QBCQuadratic Boost Converter:1||RSE (Ramping capability shortage expectation):1||Radio frequency:1||Real LCOE:1||Realtime pricing:1||Realtime systems:1||Reliability:1||Reliability centered approach:1||Reliability centered maintenance:1||ReliabilityCentered Maintenance:1||Renewable Energy:1||Renewable Power Forecasting:1||Renewable energy management system (REMS):1||Renewable energy technologies:1||Risk analysis:1||Risk evaluation:1||Risk index:1||Riskbased Optimal Power Flow:1||Riskbased hybrid energy management:1||Riskhedging:1||SBU(strategic business unit):1||SCOPF:1||SHGqBI:1||Security:1||Security constrained optimal power flow:1||Security constrainedoptimal power flow:1||Securityconstrained generation scheduling:1||Securityconstrained optimal power flow:1||Sensitivity analysis:1||Severity Risk Index:1||Shortterm forecasting:1||Small signal stability:1||Smallperturbation stability constrained optimal power flow (SSCOPF):1||Smart Grid:1||Smart city:1||Smart energy grid:1||Smart grid:1||Smart grid data communication:1||Smart grid reliability:1||Smart home:1||Social welfare:1||Spider Monkey Optimization:1||Stability:1||Static VAR compensator:1||Stochastic probust optimization:1||Stochastic/information gap decision theory:1||Sum of Square Error:1||Sustainable development:1||Sustainable smart grid evolution:1||THD:1||TLF:1||Task offloading:1||Tensors:1||Three diode model:1||Threephase Gridintegrated:1||Topology:1||Total harmonic distortion:1||Transfer capability:1||Transmission congestion:1||Transmission system:1||Twostep Perovskite deposition:1||Uncertainties:1||Uncertainty Modeling:1||Uncertainty parameter:1||Urban Level Power Network:1||Vertical axis wind turbine (VAWT):1||Virtualization:1||Voltage control:1||Voltage deviation index (VDI):1||Voltage flicker:1||Voltage stability criteria:1||Voltage stability index (VSI):1||WECS:1||Wind power integration:1||Wireless networks:1||active power control:1||battery storage plants:1||benders decomposition:1||bidding strategy:1||boost inverter:1||chanceconstrained approach:1||combined economic emission dispatch:1||combined heat and power:1||comparative analysis:1||complementarity:1||conditional value at risk:1||congestion distribution factor:1||congestion management:1||contingency constrained optimal power flow:1||contingencyconstrained optimal power flow:1||coordinated control:1||customized incentive rates:1||data mining:1||datadriven:1||datadriven agentbased model:1||deloaded (DL) operation:1||deloaded control:1||decomposedprobabilistic security constrained optimal power flow:1||deep learning:1||distribution system operator:1||dynamic economic dispatch:1||economic viability:1||effective load carrying capability:1||eigenvalue perturbation:1||electric vehicles (EVs):1||emission constraints:1||energy band operation scheme:1||energy dataset:1||energy expansion planning:1||energy management system:1||energy market:1||energy storage systems:1||enhanced algorithm:1||enhanced learning particle swarm optimization:1||environmentbased demand response:1||environmental constraints:1||expanded net present value:1||extended binomial tree:1||flexible ramping capacity:1||floating offshore wind turbines:1||forecast accuracy:1||four diode model:1||frequency control:1||frequency deviation:1||frequency regulation:1||frequency response:1||fuzzy set theory:1||gated recurrent unit&#8211:1||generative adversarial network:1||genetic algorithm (GA):1||gradient descent method:1||graph convolution:1||green communications:1||green wireless networks:1||hybrid economic emission dispatch:1||hybrid method operation:1||hybrid network station:1||hybrid operation strategy:1||improved artificial bee colony:1||improved genetic algorithm:1||improved hill climb searching (IHCS):1||improved multilayer artificial bee colony algorithm:1||imputation:1||incentive:1||incentive demand response:1||information gap decision theory:1||interior point method:1||investment options:1||investment strategy:1||kinetic energy (KE) discharge:1||kinetic energy discharge control:1||kinetic energy reserve control:1||lead times:1||life cycle cost:1||load aggregator:1||long shortterm memory autoencoder:1||loss sensitivity factor (LSF):1||machine learning:1||mathematical modelling:1||maximum power point trackers:1||maximum power point tracking (MPPT):1||microgrid:1||missing data:1||mixed integer linear programming:1||model predictive control:1||modified nondominated sorting genetic algorithmII:1||modified semiMarkov chain:1||multiagent guiding particle swarm optimization:1||multienergy system:1||multiobjective particle swarm optimization:1||multiscenario tree method:1||multistage model:1||net load carrying capability:1||noncooperative game theory:1||nonparametric test:1||offshore wind farm:1||offshore wind turbines:1||onshore wind turbines:1||operating condition:1||optimal energy scheduling strategy:1||optimal mix:1||output power command:1||parameter extraction:1||particle swarm optimization:1||particle swarm optimization (PSO):1||permanent magnet generators:1||permanentmagnet machines:1||photovoltaic:1||photovoltaic power plant:1||piecewise linear ramping model:1||power flow:1||power grid frequency regulation:1||power grids:1||power system control:1||power system operation:1||price forecasting:1||probabilistic voltagestabilityconstrained optimal power flow:1||probability distribution function (PDF):1||pumped hydroelectric storage:1||rainflow counting algorithm:1||ramping capability:1||reactive power compensators (RPCs):1||real option:1||realtime pricing:1||reliabilitycentered maintenance (RCM):1||renewable electrical power source:1||renewable energy certificate:1||renewable portfolio standard:1||renewable power generations (RPGs):1||reserve requirement:1||reserve scheduling:1||risk analysis:1||riskbased hybrid demand response:1||rolling horizon:1||scenario integration technique:1||security constrained optimal power flow:1||security cost:1||sensitivity analysis:1||shortterm frequency response:1||size optimization efficiency:1||small signal stability:1||smoothing control strategy:1||spatialtemporal:1||stochastic programming:1||stochastic unit commitment:1||support schemes:1||sustainability:1||sustainable energy generation:1||synchronous generators:1||system uncertainty:1||technoeconomic:1||three diode model:1||tieline flow:1||torque ripple:1||total harmonic distortions:1||transmission expansion planning:1||twostage optimization:1||uncertainties:1||uncertainty factors:1||uncertainty integration method:1||variability:1||variable generation (VG) acceptability:1||variable generation resource:1||variable wind speed condition:1||virtual power plant:1||voltage management:1||voltage source converter multiterminal high voltage direct current:1||voltage stability index (VSI):1||voltage stability margin:1||wake loss effect (WLE):1||weighting update artificial bee colony:1||wind energy conversion system:1||wind energy storage system:1||wind farm:1||wind power density:1||wind power plants:1||6G applications:1||wind speed:1||6G vision:1||6G wireless networks:1||AI in energy grids:1||AMD Asynchronous Motor Drive:1||Allocation rate:1||And POSOCO (power system operation corporation):1||Artificial Intelligent:1||Artificial neural network:1||Autonomous fuzzy controller (AuFuCo):1||BAT algorithm:1||BESS:1||Backpropagation Algorithm:1||Band gap engineering:1||Battery Energy Storage System:1||Behavioral sciences:1||Benchmark Test Function:1||Bilevel optimization model:1||Bilateral contract:1||Bilateral transaction:1||CM Current Mode:1||CO2 emissions:1||COVID19:1||Capacitor bank:1||Capacitor bank (CB):1||Cayley transformation:1||Clustering:1||Clustering algorithms:1||Cogging torque:1||Computing:1||Confidencebased demand response:1||Consensus Algorithm:1||Contingency screening:1||Control systems:1||Cooperation:1||Coordination strategy:1||Corrective control action:1||Correlated wind speed:1||DEA(data envelopment analysis):1||DED:1||DER aggregator:1||DL:1||Damping ratio criteria:1||Data Clustering:1||Data mining:1||Data models:1||Deloaded control:1||Decision making:1||Degradation:1||Demand forecasting:1||Demand side management (DSM):1||Device architecture:1||Distributed Generation:1||Distributed energy resource:1||Distributed generation:1||Distributed generation (DG):1||Distributed power flow:1||Distribution generator:1||

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