Research On The Unit Commitment Problem In Multiple-Energies Distributed Generation

With the development of our society, people require more about the power itself, such as the quality, environmental protection, and sustainable development of energy. In the final process of energy utilization, renewable energy will totally replace the traditional fossil energy. Distributed generation gains more recognize today than ever because people pay more attention to environment problems and generation skills of small size-high efficiency, especially in recent years. Distributed generation not only improves the quality and reliability of electricity, but satisfies optimization setting and reasonable utility of energy.Unit commitment deals with the optimization setting and reasonable utility of energy. Traditional unit commitment only refers to thermal generating units, but in distributed generation system, unit commitment contains multiple distributed generators. Such as PV generators, wind turbines, gas turbines, fuel cells, thermal generators, hydrogen generators and energy-storage equipment. Unit commitment deals with coordinated control and combinatorial optimization for the above multiple generators.Based on a description of distributed generation characteristics, the paper puts forward a unit commitment model and dispatch strategy which contains multiple energies. Genetic algorithm is used to calculate the parameters in lowest generation cost. Some improvements are done to the algorithm. The improved genetic algorithm uses a multi- point orthogonal crossover operation in addition to the traditional genetic algorithm, and sets reserved operators. This improved algorithm directly and randomly replaces the best individuals of the former generation with those of the next generation. Both traditional and special constraints for the distributed generation system are included in the model.