智能水滴算法与SQP相混合的电力环境经济调度

摘要

Economic dispatch in an electric power environment is critical to reducing the cost of coal consumption and the emission of air pollutants during power generation.We propose a hybrid methodology that combines an intelligentwater-drops (IWD) algorithm with sequential quadratic programming (SQP) to improve the economic dispatch.Because of SQP's weak global search capability,we use IWD to seek a global solution.In addition,the solution generated by the water droplets in each iteration is then taken as the initial solution of SQP,which is also slightly adjusted to improve the solution.We test the proposed approach by using a ten-unit system.In comparison with other methods that consider the valve-point effect,the proposed IWD-SQP method is feasible and effective.%电力环境经济调度对于降低发电过程中煤耗成本和污染气体排放有着重要意义.本文给出一种智能水滴算法(intelligent water drops,IWD)和序列二次规划(sequential quadratic programming,SQP)相混合求解电力环境经济调度问题的方法(IWD-SQP).针对SQP全局搜索弱的缺点,将智能水滴算法应用于求解连续优化问题,同时将每次迭代过程中水滴所产生的解作为序列二次规划初始解进行微调以得到更好的解.将提出的方法应用于一个10机组测试系统进行实验,与其他方法求解考虑阀点效应的电力环境经济调度问题相比,验证了IWD-SQP的可行性和有效性.