Inexact Optimization Methods And Its Application For Electricity Generation Planning Under Emissions Trading Policy

Electricity generation planning is crucial for power system programming. It will affect the reliability, economical efficiency, power quality and future development of the electricity generation. Uncertainty is an important factor for electricity generation planning. As the implementation of emissions trading policy, power planning is facing more and more complicated exterior factors.It is urgent to identify optimal emissions trading schemes in the new era. In this research, two methods are applied to the power planning management system, which are inexact two-stage programming and two-stage chance-constrained programming. Interval programming, two-stage programming and chance-constrained programming will be discussed in this article. The impact of the implementation of emissions trading policy on the electricity generation schemes is examined by the developed model. The model can help to balance emission quotas distribution, power generation and economic objective through maximizing regional system benefits and identifying optimal generation schemes. A case will be studied to generate optimal schemes through maximizing the total benefit. The emission quotas are also discussed in order to identify the optimal allocation pattern. The interval solution can support regional decision making under environmental, system availability and electricity demand constraints.