基于教与学算法的风力发电系统区间优化调度

Interval Optimal Dispatch of Wind Power System Based on Teaching and Learning Algorithms

针对风电并网后环境效益提高的同时总发电成本相应增加的问题,在发电成本中引入弃风系数,并且定义弃风系数的有效区间,建立了风力发电系统区间优化调度模型,兼顾风功率的接纳能力和系统发电总成本。采用新型算法教与学算法对模型进行求解,并对教与学算法的不足之处进行改进,有效地解决了算法寻优后期容易陷入局部最优的问题。仿真实验结果表明,弃风成本的引入平衡了风电并网后的经济效益,同时验证了教与学算法求解此类问题的有效性。

Aiming at the problem that the environmental benefit of wind power Grid-connected increases while the total cost of power generation increases accordingly,the abandonment coefficient is introduced into the generation cost,and the effective interval of abandoned wind coefficient is defined,and the optimal dispatching model of wind power system is established,which takes into account the wind power acceptance capacity and the total cost of the system.A new algorithm for teaching and learning is used to solve the model,and the shortcomings of the teaching and learning algorithm are improved,which effectively solves the problem that the algorithm is easy to fall into local optimum in the later stage of optimization.The simulation results show that the introduction of wind abandonment cost balances the economic benefits of wind power grid-connected,and verifies the effectiveness of the teaching and learning algorithm in solving such problems.