Origin of clean energy systems

Origin of clean energy systems

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In this work, the relationship between the accuracy of output prediction of the solar cell and the operation plan of the microgrid was determined. GA provides a facile method for solving optimised problem and can be easily adapted to complicated energy systems. Conventional GA requires a long runtime when the microgrid contains numerous energy sources and the solution must be highly accurate.

Chapter Contents:

  • 1.1 Introduction: origin of clean energy systems
  • 1.2 Dynamic operational scheduling for a microgrid with renewable energy
  • 1.2.1 Introduction
  • 1.2.2 Independent microgrid with renewable energy and battery
  • System configuration
  • Dynamic operation planning
  • Solar cell system
  • 1.2.3 Power balance and objective function
  • Power balance
  • Objective function
  • 1.2.4 Analysis method
  • Production-of-electricity prediction algorithm of solar cell (PEPA) [5]
  • Optimisation of dynamic operation using a genetic algorithm (GA)
  • Analysis flow of operation planning
  • 1.2.5 Case analysis
  • Analysis system
  • Analysis conditions
  • 1.2.6 Analysis results
  • Prediction of solar cell output power via PEPA
  • Prediction error of PEPA and operation method of generating equipment
  • Result of dynamic operation planning
  • 1.2.7 Conclusions
  • 1.3 Operation analysis of microgrids using an orthogonal array-GA hybrid method
  • 1.3.1 Introduction
  • 1.3.2 Analysis methods
  • Genetic algorithm
  • Orthogonal array-GA hybrid analysis
  • 1.3.3 Case study
  • System outline
  • Electric power supply system
  • Heat supply system
  • Energy flow of the system
  • Analysis conditions
  • The level of the design parameters
  • Objective function (adaptive value)
  • Initial values used for the orthogonal array-GA hybrid analysis
  • Analysis parameters of the GA
  • 1.3.4 Analysis results
  • Planning the equipment capacity
  • Optimal operation
  • Verification of the analysis algorithm
  • 1.3.5 Conclusions
  • Nomenclature
  • References

Inspec keywords: distributed power generation; power generation planning; solar cells; genetic algorithms

Other keywords: clean energy systems; energy sources; GA; solar cell; microgrid operation plan; genetic algorithms

Subjects: Photoelectric conversion; solar cells and arrays; Power system planning and layout; Optimisation techniques; Distributed power generation; Solar cells and arrays

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