为了解决交直流混合微电网中储能单元荷电状态(state of charge,SOC)变化导致的子网互济能力变化和系统供电可靠性问题,提出一种综合考虑子网运行状态和储能SOC变化的交直流混合微电网多模式功率协调控制策略,将系统的运行模式划分为盈...为了解决交直流混合微电网中储能单元荷电状态(state of charge,SOC)变化导致的子网互济能力变化和系统供电可靠性问题,提出一种综合考虑子网运行状态和储能SOC变化的交直流混合微电网多模式功率协调控制策略,将系统的运行模式划分为盈余互济、缺损互济、独立运行和功率共享4种情况,详细研究了在不同运行模式下网间互济功率的传输原则和计算方法,从而实现系统源荷功率平衡和网间SOC均衡,达到了提高交直流混合微电网的可靠性和储能利用效率的目的。最后,在Matlab/Simulink仿真平台上搭建仿真模型并验证了所提多模式控制策略有效性。展开更多
为规模化灵活控制分布式可再生能源与可控负荷参与市场交易和优化调度,本文提出一种虚拟电厂(virtual power plant,VPP)参与的交直流混合微网(AC/DC hybrid microgrid,AC/DCHM)双层多目标鲁棒优化模型。该模型利用VPP技术平抑发、用电...为规模化灵活控制分布式可再生能源与可控负荷参与市场交易和优化调度,本文提出一种虚拟电厂(virtual power plant,VPP)参与的交直流混合微网(AC/DC hybrid microgrid,AC/DCHM)双层多目标鲁棒优化模型。该模型利用VPP技术平抑发、用电功率的不确定性,采用鲁棒理论构建灵活调整边界的不确定合集,针对模型特点利用多目标飞蛾扑火算法进行求解。算例验证及分析表明:该模型能弥补传统鲁棒优化过于保守的不足,一定程度上可应对微电网荷源可预测性差、可调度资源和手段不足等缺陷;均衡各层收益主体,引入VPP可提高微网利润7.3%;在保证稳定运行的前提下,合理选择荷、源不确定变量的置信概率可提高微网利润22.8%,可有效实现电力经济的可持续性发展。展开更多
With the highly-extensive integration of distributed renewable energy resources(DER)into the grid,the power distribution system has changed greatly in the structure,function and operating characteristics.On this groun...With the highly-extensive integration of distributed renewable energy resources(DER)into the grid,the power distribution system has changed greatly in the structure,function and operating characteristics.On this ground,An AC-DC hybrid DER system becomes necessary for effective management and control over DER.This paper first summarizes the physical characteristics and morphological evolution of AC-DC hybrid DER system.The impact of these new features on system configuration planning is analyzed with respect to its flexible networking,rich operation control modes,and tight sourcenetwork-load-storage coupling.Then,based on a review of the existing research,problems and technical difficulties are figured out in terms of converter modeling,steady-state analysis,power flow calculation,operating scenarios management,and optimization model solution.In light of the problems and difficulties,a framework for the configuration optimization of AC-DC hybrid DER systems is proposed.At last,the paper provides a prospect of key technologies from six aspects including morphology forecasting,coupling interaction analysis,uncertainty modeling,operation simulation,optimization model solving algorithm and comprehensive scheme evaluation.展开更多
文摘为了解决交直流混合微电网中储能单元荷电状态(state of charge,SOC)变化导致的子网互济能力变化和系统供电可靠性问题,提出一种综合考虑子网运行状态和储能SOC变化的交直流混合微电网多模式功率协调控制策略,将系统的运行模式划分为盈余互济、缺损互济、独立运行和功率共享4种情况,详细研究了在不同运行模式下网间互济功率的传输原则和计算方法,从而实现系统源荷功率平衡和网间SOC均衡,达到了提高交直流混合微电网的可靠性和储能利用效率的目的。最后,在Matlab/Simulink仿真平台上搭建仿真模型并验证了所提多模式控制策略有效性。
文摘为规模化灵活控制分布式可再生能源与可控负荷参与市场交易和优化调度,本文提出一种虚拟电厂(virtual power plant,VPP)参与的交直流混合微网(AC/DC hybrid microgrid,AC/DCHM)双层多目标鲁棒优化模型。该模型利用VPP技术平抑发、用电功率的不确定性,采用鲁棒理论构建灵活调整边界的不确定合集,针对模型特点利用多目标飞蛾扑火算法进行求解。算例验证及分析表明:该模型能弥补传统鲁棒优化过于保守的不足,一定程度上可应对微电网荷源可预测性差、可调度资源和手段不足等缺陷;均衡各层收益主体,引入VPP可提高微网利润7.3%;在保证稳定运行的前提下,合理选择荷、源不确定变量的置信概率可提高微网利润22.8%,可有效实现电力经济的可持续性发展。
基金This work was supported by the National Key R&D Program of China(2017YFB0903300).
文摘With the highly-extensive integration of distributed renewable energy resources(DER)into the grid,the power distribution system has changed greatly in the structure,function and operating characteristics.On this ground,An AC-DC hybrid DER system becomes necessary for effective management and control over DER.This paper first summarizes the physical characteristics and morphological evolution of AC-DC hybrid DER system.The impact of these new features on system configuration planning is analyzed with respect to its flexible networking,rich operation control modes,and tight sourcenetwork-load-storage coupling.Then,based on a review of the existing research,problems and technical difficulties are figured out in terms of converter modeling,steady-state analysis,power flow calculation,operating scenarios management,and optimization model solution.In light of the problems and difficulties,a framework for the configuration optimization of AC-DC hybrid DER systems is proposed.At last,the paper provides a prospect of key technologies from six aspects including morphology forecasting,coupling interaction analysis,uncertainty modeling,operation simulation,optimization model solving algorithm and comprehensive scheme evaluation.
