摘要
随着环境问题日益突出,新能源在全球范围内得到迅速发展,电网的调度模式和技术是提升新能源消纳的关键.采用以最少的煤炭资源消耗量及水电站发电为目标,以火电机组的出力和梯级水电站的发电流量作为控制变量,综合考虑火电厂、水电站等约束条件,构建风光水火互补的电力系统动态调度模型.提出一种改进多目标差分进化算法对模型进行求解,算法中引入外部环境影响和参数自适应调整,可以提高种群全局寻优能力.分析结果表明:该算法比多目标差分算法收敛性和精确度更高,起到清洁能源的利用和削峰填谷的效果.
Environment problem is being a hot issue in the recent society,the new energy resources have grained a widely developing around the world;the dispatching model and technology of grid power become the major elements to enhance the new energy consumption.Using less consumption on coal resources and hydropower station to generate electricity is main target.Moreover,the output of thermal power units and the power flow of cascade hydropower stations should be controlled as variables,meanwhile,the restricted condition of thermal power and hydropower also should be considered,in order to establish a dynamic dispatching model of wind,light,water and fire in complementary power system.Making a proposal that can improve multi-objective differential evolution formula for solving the model,the calculation needs to consider the external factors and the index should regulate by itself.The analysis results show that the calculation method is more accurate than the multiobjective differential algorithm;therefore it results the energy fully utilized and peak load shifting.
作者
田书
赵哲林
杜少通
TIAN Shu;ZHAO Zhelin;DU Shaotong(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China)
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2019年第12期1091-1096,1105,共7页
Engineering Journal of Wuhan University
基金
河南省教育厅高等学校重点科研项目(编号:18A470003)
河南省控制工程重点学科开放实验室开放基金资助项目(编号:KG2016-5)
关键词
清洁能源
调度策略
多能互补
动态多目标优化
差分进化算法
clean energy
scheduling strategy
multi-energy complementarity
dynamic multiobjective optimization
differential evolution algorithm
