由于风电互联系统结构复杂并且具有随机性,传统控制器难以满足系统多运行方式下的阻尼控制效果,为提高含风电互联系统抑制低频振荡的能力,提出静止无功补偿器(static var compensator,SVC)附加双通道广域阻尼控制方法。首先建立附加双...由于风电互联系统结构复杂并且具有随机性,传统控制器难以满足系统多运行方式下的阻尼控制效果,为提高含风电互联系统抑制低频振荡的能力,提出静止无功补偿器(static var compensator,SVC)附加双通道广域阻尼控制方法。首先建立附加双通道控制器模型;其次基于频域子空间辨识与几何测度结合法设计最佳控制回路,实测方便,更有利于应用在复杂电网;最后采用基于多目标函数的改进型鸟群算法(improved bird swarm algorithm,IBSA)对控制器进行优化,确定控制参数。将上述研究方法通过含风电的两区四机系统进行仿真验证,结果表明接入设计控制器的系统阻尼大大提高,控制效果显著,能够快速抑制振荡,从而增强系统稳定性能。展开更多
Due to randomness of wind generator＇s availability, power system planners have big concern on EEG （expected energy generation） and system reliability of power system with wind generators. This paper presents a meth...Due to randomness of wind generator＇s availability, power system planners have big concern on EEG （expected energy generation） and system reliability of power system with wind generators. This paper presents a methodology to evaluate the EEG as well as overall LOLP （loss of load probability）, which is an index for system reliability of multi-area interconnected systems with wind generators, as well as conventional fossil fuel based generating units. The proposed model is also capable of tracking the energy export incorporating the multi-state probability model for wind generator which output varies with time and season.展开更多
文摘Due to randomness of wind generator＇s availability, power system planners have big concern on EEG （expected energy generation） and system reliability of power system with wind generators. This paper presents a methodology to evaluate the EEG as well as overall LOLP （loss of load probability）, which is an index for system reliability of multi-area interconnected systems with wind generators, as well as conventional fossil fuel based generating units. The proposed model is also capable of tracking the energy export incorporating the multi-state probability model for wind generator which output varies with time and season.
