考虑火电机组调度计划交付能力的风火电联合优化与调度

Optimization based scheduling for wind power integrated system considering the delivery capability of the thermal power unit

为了规模化开发利用风电,应对高不确定性风电资源的大规模接入,针对我国贫油、少气、富煤的能源结构布局,主要从火电机组调度计划交付能力的角度来研究风火电联合优化与调度,探索充分发挥风火发电的互补机制与理论方法.通过引入机会约束规划来处理风电的随机性,并建立了含概率约束的不确定模型.针对离散时间调度模型中存在的能量不可交付和备用容量上下限不可达的问题,提出含积分约束的连续时间调度模型,将风火电联合优化与调度这一实际问题建模为一个含连续时间约束与概率约束的不确定非线性规划问题,并给出将该问题转化为确定性问题的方法.对所提出的连续时间调度模型进行实验仿真表明了该模型的合理性和有效性.

In order to scale up development and utilization of wind power and coping with large scale of high uncertainty of wind sources,we urgently need to explore and fully develop the complementary mechanism and theory method of wind-thermal power generation to deal with China’s poor-oil,less-gas and rich-coal energy structure and arrangement.Through introducing chance constrained programming to cope with the randomness of wind power,we establishes uncertain model with probability constraints.Considering the generation schedule obtained with discrete-time model might be unrealizable in terms of energy and the upper and lower bounds of spinning reserve offered by a unit is unreachable,a new model for optimization based scheduling model with integral constraints is presented.Finally based on the idea of model transformation,the random dispatching model containing probability constraints is transformed into an equivalent deterministic model.Simulation experiments for the optimization based accurate scheduling for wind power integrated system is performed and simulation results are discussed.It is demonstrated the new model is reasonable and effective.