Hybrid energy storage system(HESS)is an effective way to mitigate wind power fluctuations on multi-time scale,and can improve influence of large-scale grid-connected wind power on stability and reliability of power sy...Hybrid energy storage system(HESS)is an effective way to mitigate wind power fluctuations on multi-time scale,and can improve influence of large-scale grid-connected wind power on stability and reliability of power system.A novel methodology named zero-phase controlled auto-regressive integrated moving-average(CARIMA)filter is proposed to integrate HESS to smooth wind power fluctuations.First,a design method for zero-phase CARIMA filter is provided,and then used to determine grid-connected power for a wind storage system and size HESS.The reasons,direct current(DC)component caused by energy storage efficiency and grid-connected power delay caused by phase shift,for causing superfluous energy storage configuration are revealed.In addition,a nonlinear programming scheduling strategy considering battery degradation is proposed.Power imbalance caused by efficiency difference during dynamic adjustment of energy storage output power is addressed.Furthermore,thermostatically controlled loads(TCLs)are integrated in sizing and scheduling HESS to reduce energy storage demand and improve operating conditions of energy storage.Finally,effectiveness of the proposed strategy is verified by a case study.展开更多
PID(proportional integral derivative)控制器广泛应用于各种工业过程,但实际被控对象的机理、复杂程度和环境条件各不相同,常规整定方法很难维持满意的效果。为了增强控制系统的鲁棒性和稳定性,先进的PID控制算法得到了广泛的关注。...PID(proportional integral derivative)控制器广泛应用于各种工业过程,但实际被控对象的机理、复杂程度和环境条件各不相同,常规整定方法很难维持满意的效果。为了增强控制系统的鲁棒性和稳定性,先进的PID控制算法得到了广泛的关注。针对常见的带积分受控自回归滑动平均(CARIMA)模型提出了一类基于预测的自适应控制算法,使得PID参数能够随着对象模型参数的变化而变化,实现在线整定。该递推算法是通过在给定时域内极小化性能指标函数而得到的,其中性能指标函数考虑了某一给定范围内给定输入和预测输出的二次偏差以及控制量,在线辨识阶段则采用递推最小二乘算法。仿真结果证实该方法有很好的自适应力和鲁棒性。展开更多
基金supported by the Headquarters Science and Technology Project of State Grid Corporation of China(52060021N00P)。
文摘Hybrid energy storage system(HESS)is an effective way to mitigate wind power fluctuations on multi-time scale,and can improve influence of large-scale grid-connected wind power on stability and reliability of power system.A novel methodology named zero-phase controlled auto-regressive integrated moving-average(CARIMA)filter is proposed to integrate HESS to smooth wind power fluctuations.First,a design method for zero-phase CARIMA filter is provided,and then used to determine grid-connected power for a wind storage system and size HESS.The reasons,direct current(DC)component caused by energy storage efficiency and grid-connected power delay caused by phase shift,for causing superfluous energy storage configuration are revealed.In addition,a nonlinear programming scheduling strategy considering battery degradation is proposed.Power imbalance caused by efficiency difference during dynamic adjustment of energy storage output power is addressed.Furthermore,thermostatically controlled loads(TCLs)are integrated in sizing and scheduling HESS to reduce energy storage demand and improve operating conditions of energy storage.Finally,effectiveness of the proposed strategy is verified by a case study.
文摘PID(proportional integral derivative)控制器广泛应用于各种工业过程,但实际被控对象的机理、复杂程度和环境条件各不相同,常规整定方法很难维持满意的效果。为了增强控制系统的鲁棒性和稳定性,先进的PID控制算法得到了广泛的关注。针对常见的带积分受控自回归滑动平均(CARIMA)模型提出了一类基于预测的自适应控制算法,使得PID参数能够随着对象模型参数的变化而变化,实现在线整定。该递推算法是通过在给定时域内极小化性能指标函数而得到的,其中性能指标函数考虑了某一给定范围内给定输入和预测输出的二次偏差以及控制量,在线辨识阶段则采用递推最小二乘算法。仿真结果证实该方法有很好的自适应力和鲁棒性。
