基于模型预测控制的多能源微网仿射优化调度  

Affine optimal dispatch of multi-energy microgrid based on model predictive control

作　　者：陈飞雄 郭奕鑫 邵振国[1] 蔡明杰 林炜晖 李壹民 CHEN Feixiong;GUO Yixin;SHAO Zhenguo;CAI Mingjie;LIN Weihui;LI Yimin(Fujian Smart Electrical Engineering Technology Research Center,College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学电气工程与自动化学院福建省电器智能化工程技术研究中心,福建福州350108

出　　处：《电力自动化设备》2024年第9期24-31,48,共9页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(52107080);福建省自然科学基金资助项目(2021J05135)。

摘　　要：受源荷日前预测误差较大的影响,多能源微网存在优化调度方案变化范围较大,且难有足够的不确定性应对裕度的问题。为解决上述问题,提出一种基于模型预测控制的多能源微网仿射优化调度方法。首先,通过不断更新预测信息以保证源荷预测精度。在此基础上,采用仿射算法表征源荷预测的不确定性。然后,将仿射优化调度模型嵌入滚动优化中,并在每次滚动优化中求解仿射优化调度模型。最后,仿真结果验证了所提方法能够有效降低优化调度方案的保守性与提高不确定性应对能力。Affected by the large error in the day-ahead prediction of source and load,the multi-energy microgrid has the problems that the change range of the optimal dispatching scheme is wide,and has no sufficient margin for uncertainty.To solve these problems,an affine optimal dispatching method of multi-energy microgrid based on model predictive control is proposed.Firstly,the prediction information is updated continuously to ensure the accuracy of the source and load prediction.On this basis,the affine arithmetic is used to characterize the uncertainty of source and load prediction.Secondly,an affine optimal dispatching model is embedded in the rolling optimization and the affine optimal dispatching model is solved in each rolling optimization.Finally,the simulative results verify that the proposed method can effectively reduce the conservativeness of the optimal dispatching scheme and improve the ability to deal with uncertainty.

关 键 词：多能源微网 源荷不确定性 仿射算法 模型预测控制 日内调度 

分 类 号：TM734[电气工程—电力系统及自动化]