基于NNC法和DMC算法的CCHP型微电网两阶段调度  

Two-Stage Dispatch of CCHP Microgrid Based on NNC and DMC

作　　者：陈苏豪 吴越 曾伟 杨晓辉[1] 王晓鹏 伍云飞 CHEN Suhao;WU Yue;ZENG Wei;YANG Xiaohui;WANG Xiaopeng;WU Yunfei(School of Information Engineering,Nanchang University,Nanchang 330031,China;State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang 330066,China;Electric Power Research Institute of State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang 330096,China)

机构地区：[1]南昌大学信息工程学院,江西南昌330031 [2]国网江西省电力有限公司,江西南昌330066 [3]国网江西省电力有限公司电力科学研究院,江西南昌330096

出　　处：《中国电力》2024年第2期171-182,共12页Electric Power

基　　金：国家自然科学基金资助项目(基于迁移学习的PHM预测模型的建模理论与方法,61963026)。

摘　　要：冷热电联产(combined cooling, heating and power,CCHP)系统与微电网的结合有利于促进消纳可再生能源,为了提升CCHP型微电网的经济性、环保性和稳定性,提出了两阶段优化调度模型。离线优化阶段基于需求侧响应策略,建立了基于归一化法向约束法的多目标规划模型,并用熵权-TOPSIS法筛选最优结果。在线优化阶段建立了基于动态矩阵控制算法的有限时域优化模型,对离线优化结果进行跟踪优化和反馈校正,以降低不确定性因素的影响。最后,设计对比方案进行分析,验证了所提优化模型的有效性。The combination of combined cooling,heating and power(CCHP)and microgrid promotes the consumption of renewable energy.In order to improve the economy,environmental protection and stability of CCHP microgrid,a two-stage optimal dispatching model is proposed.The offline optimization stage is based on the demand response strategy,and the multi-objective model based on the normalized normal constraint method is established,and the optimal results are screened by the entropy-TOPSIS method.In the online optimization stage,a finite-time domain optimization model based on dynamic matrix control algorithm is established to track and optimize the offline optimization results with feedback correction to reduce the influence of uncertainty factors.Finally,a comparison scheme is designed to for analysis verify the effectiveness of the proposed optimization model.

关 键 词：冷热电联供型微电网 两阶段优化调度 多目标规划 归一化法向约束法 动态矩阵控制算法 

分 类 号：TM73[电气工程—电力系统及自动化]