CAU Scholar's Space: Kim, Mun Kyeom

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Kim, Mun Kyeom (김문겸)

공과대학 (에너지시스템 공학부)

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Tel 02-820-5271
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Benders decomposition:6||battery energy storage system:5||flexibility:5||Available transfer capability:4||ramping capability shortage expectation:4||Optimal power flow:4||Microgrid:4||uncertainty:4||demand response:3||Maintenance strategy:3||Particle swarm optimization:3||Renewable energy sources:3||penalty factor:3||Benders' decomposition:3||Electricity market:3||Demand response:2||Uncertainty:2||improved artificial bee colony:2||renewable energy resources:2||Marketclearing model:2||permanent magnet synchronous generator:2||Nodal congestion price (NCP):2||total transfer capability:2||Bidding strategy:2||Costs:2||Generation maintenance scheduling:2||operating cost:2||Noncooperative game:2||Nash equilibrium:2||Fuzzy set theory:2||unit commitment:2||Continuation power flow:2||Optimization:2||power system reliability:2||Weibull distribution:2||Coordination:2||Battery energy storage system:2||multiagent system:2||maximum power point tracking:2||fuzzy set theory:2||environmental constraints:2||frequency support control:2||available transfer capability:2||Forecasting:2||hybrid economic emission dispatch:2||Bender's decomposition:2||optimal power flow:2||Energy management system:1||Energy storage:1||Energy storage system:1||Enhanced grey wolf optimizer and particle swarm optimization (EGWOPSO):1||Equipment state model:1||Evolutionary game theory:1||Expected utility theory:1||Exponentialhyperbolic:1||Flexible ramping product:1||Flexible risk constrainedoptimal power flow:1||Fluctuations:1||Frequency support control:1||Fuzzyclustering:1||Game theory:1||Gaussianbased regularized particle swarm optimization:1||Generator failure:1||Generators:1||Hybrid demand response:1||Hybrid integrated system:1||Indirect costs:1||Interarea oscillations:1||Interconnected power system:1||Investment:1||Kmeans clustering:1||KEPCO(Korea Electric Power Corporation):1||Kinetic Energy discharge control:1||Levenbergmarquardt algorithm:1||Load flow:1||Load modeling:1||Load serving entity:1||Local Level Network:1||Local marginal price (LMP):1||Locational marginal price:1||Locational marginal price (LMP):1||Logic gates:1||Long ShortTerm Memory:1||Maintenance priority index:1||Market Price:1||Market auction model:1||Market value:1||Marketclearing:1||Markov chain model:1||Matrix converter: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||Nodal congestion price:1||Nodal price (NP):1||Nodal spot price:1||Nondominated sorting genetic algorithm:1||Nord pool:1||OPEX:1||Optimal energy trading management:1||Optimal generation scheduling:1||Optimal scheduling:1||Overhead transmission line:1||PSCAD:1||PV forecasting errors:1||Particle Swarm Optimization:1||Permanent Magnet Synchronous Generator(PMSG):1||Photovoltaic (PV) system:1||Photovoltaic systems:1||Piecewise linear ramp limit:1||Power loss:1||Power markets:1||Power systems:1||Power transfer capability:1||Power transmission system:1||Predictive models:1||Probabilistic securityconstrained optimal power flow (PSCOPF):1||Probability Density Function:1||Pumped hydroelectric storage:1||RSE (Ramping capability shortage expectation):1||Radio frequency:1||Real LCOE:1||Realtime pricing:1||Reliability centered approach:1||Reliability centered maintenance:1||ReliabilityCentered Maintenance:1||Renewable Energy:1||Renewable Power Forecasting:1||Renewable energy:1||Renewable energy management system (REMS):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||SHGqBI:1||Scheduling:1||Security:1||Security constrained optimal power flow:1||Security constrainedoptimal power flow (SCOPF):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||Social welfare:1||Static VAR compensator:1||Stochastic probust optimization:1||Stochastic/information gap decision theory:1||Total harmonic distortion (THD):1||Transfer capability:1||Transmission congestion:1||Transmission system:1||Uncertainties:1||Uncertainty Modeling:1||Uncertainty parameter:1||Urban Level Power Network:1||Vertical axis wind turbine (VAWT):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||boost inverter:1||chanceconstrained approach:1||combined economic emission dispatch:1||combined heat and power:1||complementarity:1||conditional value at risk:1||congestion distribution factor:1||congestion management:1||contingencyconstrained optimal power flow:1||continuation power flow:1||coordinated control:1||deloaded (DL) operation:1||deloaded control:1||decomposedprobabilistic security constrained optimal power flow:1||distribution system operator:1||dynamic economic dispatch (DED):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 expansion planning:1||enhanced learning particle swarm optimization:1||environmentbased demand response:1||flexible ramping capacity:1||forecast accuracy:1||frequency control:1||frequency deviation:1||frequency regulation:1||frequency response:1||fuzzy logic:1||gated recurrent unit&#8211:1||genetic algorithm (GA):1||gradient descent method:1||green communications:1||green wireless networks:1||hybrid method operation:1||hybrid network station:1||hybrid operation strategy:1||improved genetic algorithm:1||improved hill climb searching (IHCS):1||improved multilayer artificial bee colony algorithm:1||incentive:1||information gap decision theory:1||interior point method:1||investment options:1||kinetic energy (KE) discharge:1||kinetic energy discharge control:1||kinetic energy reserve control:1||lead times:1||life cycle cost:1||loss sensitivity factor (LSF):1||maximum power point trackers:1||maximum power point tracking (MPPT):1||microgrid:1||mixed integer linear programming:1||model predictive control (MPC):1||modified nondominated sorting genetic algorithmII:1||modified semiMarkov chain:1||multiagent guiding particle swarm optimization:1||multienergy system:1||multiobjective optimization:1||multiobjective particle swarm optimization:1||multiscenario tree method:1||multistage model:1||net load carrying capability:1||noncooperative game theory:1||offshore wind farm:1||operating condition:1||optimal energy scheduling strategy:1||optimal mix:1||output power command:1||particle swarm optimization:1||particle swarm optimization (PSO):1||permanent magnet generators:1||permanentmagnet (PM) 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||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||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||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||stochastic programming:1||stochastic unit commitment:1||support schemes:1||sustainability:1||synchronous generators:1||system uncertainty:1||technoeconomic:1||tieline flow (TLF):1||torque ripple:1||total harmonic distortions:1||transmission expansion planning:1||twostage optimization:1||uncertainties:1||uncertainty factors:1||uncertainty integration method:1||uncertainty parameter:1||variability:1||variable generation (VG) acceptability:1||variable generation resource:1||variable wind speed condition: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||Allocation rate:1||wind speed:1||Artificial neural network:1||Autonomous fuzzy controller (AuFuCo):1||BAT algorithm:1||BESS:1||Backpropagation Algorithm:1||Battery Energy Storage System:1||Bilevel optimization model:1||Bilateral contract:1||Bilateral transaction:1||CO2 emissions:1||Capacitor bank (CB):1||Cayley transformation:1||Cogging torque:1||Confidencebased demand response:1||Consensus Algorithm:1||Contingency screening:1||Cooperation:1||Coordination strategy:1||Corrective control action:1||Correlated wind speed:1||Correlation:1||DEA(data envelopment analysis):1||DER aggregator:1||Damping ratio criteria:1||Data Clustering:1||Data mining:1||Deloaded control(DL):1||Deep learning:1||Degradation:1||Demand side management (DSM):1||Distributed energy resource:1||Distributed generation (DG):1||Distributed power flow:1||Distribution generator:1||Distribution network:1||Distribution networks:1||Distribution system:1||Droop control:1||EMTDC:1||Economic operation:1||Economics:1||Eigenvalue sensitivity:1||Electric arc furnace (EAF):1||Electric vehicle:1||Energy band:1||Energy management:1||

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