To maximize conversion efficiency,photovoltaic(PV)systems generally operate in the maximum power point tracking(MPPT)mode.However,due to the increasing penetra tion level of PV systems,there is a need for more develop...To maximize conversion efficiency,photovoltaic(PV)systems generally operate in the maximum power point tracking(MPPT)mode.However,due to the increasing penetra tion level of PV systems,there is a need for more developed control functions in terms of frequency support services and voltage control to maintain the reliability and stability of the power grid.Therefore,flexible active power control is a manda tory task for grid-connected PV systems to meet part of the grid requirements.Hence,a significant number of flexible pow er point tracking(FPPT)algorithms have been introduced in the existing literature.The purpose of such algorithms is to real ize a cost-effective method to provide grid support functional ities while minimizing the reliance on energy storage systems.This paper provides a comprehensive overview of grid support functionalities that can be obtained with the FPPT control of PV systems such as frequency support and volt-var control.Each of these grid support functionalities necessitates PV sys tems to operate under one of the three control strategies,which can be provided with FPPT algorithms.The three control strate gies are classified as:①constant power generation control(CP GC),②power reserve control(PRC),and③power ramp rate control(PRRC).A detailed discussion on available FPPT algo rithms for each control strategy is also provided.This paper can serve as a comprehensive review of the state-of-the-art FPPT algorithms that can equip PV systems with various grid support functionalities.展开更多
提出一种基于斜率限制器的实时平抑风电场功率波动的多类型储能系统(hybrid energy storage system,HESS)控制算法。结合一阶低通滤波器与斜率限制器,依据风电功率的波动频率实时分配HESS的充放电功率值,从而发挥超级电容功率密度大和...提出一种基于斜率限制器的实时平抑风电场功率波动的多类型储能系统(hybrid energy storage system,HESS)控制算法。结合一阶低通滤波器与斜率限制器,依据风电功率的波动频率实时分配HESS的充放电功率值,从而发挥超级电容功率密度大和锂电池能量密度大的优点;实现了基于区间削减的自适应储能水平反馈控制,避免了储能电池的过充或过放。算例分析表明,相对于其他控制算法而言,该算法只需配置较小的容量,算法简单,计算量小,运算速度快,便于工程实现。展开更多
基金supported in part by the Future Battery Industries Cooperative Research Center(www.fbicrc.com.au)as part of the Australian Government’s CRC Program(www.business.gov.au),which supports industry-led collaborations between industry,researchers and the community.
文摘To maximize conversion efficiency,photovoltaic(PV)systems generally operate in the maximum power point tracking(MPPT)mode.However,due to the increasing penetra tion level of PV systems,there is a need for more developed control functions in terms of frequency support services and voltage control to maintain the reliability and stability of the power grid.Therefore,flexible active power control is a manda tory task for grid-connected PV systems to meet part of the grid requirements.Hence,a significant number of flexible pow er point tracking(FPPT)algorithms have been introduced in the existing literature.The purpose of such algorithms is to real ize a cost-effective method to provide grid support functional ities while minimizing the reliance on energy storage systems.This paper provides a comprehensive overview of grid support functionalities that can be obtained with the FPPT control of PV systems such as frequency support and volt-var control.Each of these grid support functionalities necessitates PV sys tems to operate under one of the three control strategies,which can be provided with FPPT algorithms.The three control strate gies are classified as:①constant power generation control(CP GC),②power reserve control(PRC),and③power ramp rate control(PRRC).A detailed discussion on available FPPT algo rithms for each control strategy is also provided.This paper can serve as a comprehensive review of the state-of-the-art FPPT algorithms that can equip PV systems with various grid support functionalities.
文摘提出一种基于斜率限制器的实时平抑风电场功率波动的多类型储能系统(hybrid energy storage system,HESS)控制算法。结合一阶低通滤波器与斜率限制器,依据风电功率的波动频率实时分配HESS的充放电功率值,从而发挥超级电容功率密度大和锂电池能量密度大的优点;实现了基于区间削减的自适应储能水平反馈控制,避免了储能电池的过充或过放。算例分析表明,相对于其他控制算法而言,该算法只需配置较小的容量,算法简单,计算量小,运算速度快,便于工程实现。
