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Optimisation Models and Methods in Energy Systems

Optimisation Models and Methods in Energy Systems

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Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning.

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Keywords

  • building microgrid
  • combined heat and power
  • component outage
  • demand side management
  • domino effect
  • electric-power structure adjustment
  • electrical distribution systems
  • energy conservation and emissions reduction
  • energy network
  • energy system management model
  • feasible operation region
  • firefighting
  • flexibility option
  • fuzzy set theory
  • generation efficiency
  • generation expansion planning
  • Graph theory
  • heating ventilation and air-conditioning (HVAC)
  • influence diagram
  • integrated energy system
  • intermittent sources
  • islanded microgrids
  • Life Cycle Cost
  • long-term forecasting
  • Markov chain Monte Carlo
  • meshed topology
  • microgrid operation
  • mixed integer linear programing
  • mixed integer linear programming
  • multi-criteria decision making (MCDM)
  • multi-objective optimization
  • net demand
  • nondominated sorting genetic algorithm (NSGA)
  • occupancy-based control
  • oil storage plants
  • optimal power generation mix
  • optimization
  • portfolio analysis
  • predicted mean vote (PMV)
  • re-optimization and rescheduling
  • scenario-based multistage stochastic programming
  • semi-mean-absolute deviation model
  • Stochastic programming
  • stochastic robust optimization
  • technique for the order of preference by similarity to the ideal solution (TOPSIS)
  • variable renewable power
  • wind power forecasting

Links

DOI: 10.3390/books978-3-03921-119-7

Editions

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