摘要
能源互联网的发展使得不同形式能源之间的耦合关系不断加强,能量枢纽是能源互联网环境下多能协同互补的重要系统形态.针对包含电、气、热、氢等不同能源形式的能量枢纽,本文构建了含风力发电单元、热电联产单元、燃气锅炉、电解槽、储氢单元、电能储能单元和热能储能单元的负荷优化调度模型,该模型旨在满足各类运行约束条件情况下,通过优化各单元的出力,实现能量枢纽成本的最小化.进而采用数据驱动的两阶段分布鲁棒优化方法来处理风电出力的不确定性,并采用了列与约束生成算法对提出的两阶段分布鲁棒优化模型进行求解.结果表明,与随机规划方法相比,本文提出的数据驱动的分布鲁棒优化方法在处理风电出力不确定性方面具有更好的鲁棒性.而与传统的鲁棒优化方法相比,本文提出的方法更好地实现了能量枢纽负荷优化调度的经济性.因此,本文构建的负荷优化调度模型对于协调能源互联网环境下能量枢纽负荷优化调度的经济性和鲁棒性具有重要支撑作用.
The development of the energy internet has continuously strengthened the coupling relationship among different forms of energy sources.Energy hub(EH) is an important system form of multi-energy coordination and complementation in the environment of energy internet.In this regard,an optimal load dispatch model of EH with electricity,gas,heat and hydrogen is proposed,which aims to reduce the total cost of EH by optimizing the output of each unit under various operating constraints.The proposed EH model includes wind turbine(WT),combined heat and power(CHP) unit,gas boiler,electrolytic cell(EC),hydrogen storage unit(HS),thermal energy storage unit(TES) and electrical energy storage unit(EES).Then,a data-driven two-stage distributionally robust optimization(DRO) method is used to deal with the uncertainty of wind energy.And the column and constraint generation algorithm(C&CG)is used to solve the proposed two-stage DRO model.The results show that the proposed data-driven DRO method has better robustness than that of stochastic programming method in dealing with wind power output uncertainty.And compared to the traditional robust optimization method,the proposed method can better realize the economy of load optimal dispatch of EH.Therefore,the proposed optimal load dispatch model plays an important role in coordinating the economy and robustness of EH in energy Internet environment.
作者
陆信辉
周开乐
杨善林
LU Xinhui;ZHOU Kaile;YANG Shanlin(School of Management,Hefei University of Technology,Hefei 230009,China;Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education,Hefei 230009,China)
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2021年第11期2850-2864,共15页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71822104)
安徽省自然科学基金(2008085UD05)
中央高校基本科研业务费专项资金(JZ2021HGTA0133)。
关键词
能量枢纽
负荷优化调度
分布鲁棒优化
风电
energy hub
optimal load dispatch
distributionally robust optimization
wind power
