Reliability evaluation of a wind-diesel-battery hybrid power system
Reliability evaluation of a wind-diesel-battery hybrid power system
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DOI：
10.1109/icps.2008.4606290
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发表时间：
2008-05
期刊：
影响因子：
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通讯作者：
X. Liu;S. Islam;A. Chowdhury;D. Koval
中科院分区：
文献类型：
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作者：
X. Liu;S. Islam;A. Chowdhury;D. Koval
提出了一种新的边远地区带蓄电池组的风力-柴油混合动力系统可靠性评估的分析方法。该方法是在对威布尔风速分布进行离散风速框架分析的基础上提出的。利用风速框架分析方法，建立了风电柴油混合动力系统的分析模型，该模型考虑了由于部件故障和风速波动引起的系统停运问题。该模型通过分解威布尔风速分布曲线，为每个离散风速框架计算风力发电机组的功率输出。然后将电池组模型与风电-柴油系统的模型相结合。对整个系统进行可靠性分析，将风力发电机组和柴油发电机组的输出功率与电池在所有风速范围内的输出进行组合，得到反映混合动力系统长期性能的可靠性指标、负荷损失概率(LOLP)和期望未供应能量(EENS)。通过使用风速框架，可以很容易地考虑风速和涡轮机故障的间歇性特征。同时大大简化了建模过程，节省了计算时间。该模型适用于系统规划和系统优化的系统可靠性评估。
The paper presents a novel analytical approach of reliability evaluation for wind-diesel hybrid power system with battery bank for power supply in remote areas. The proposed approach is developed on the basis of the discrete wind speed frame analysis of the Weibull wind speed distribution. By employing wind speed frame analysis, an analytical model of wind-diesel hybrid system is developed that deals with system outage as a result of component failure and wind speed fluctuation. This model computes power output of wind turbine generators for each discrete wind speed frame, which is created by splitting the Weibull wind speed distribution curve. Then a model of battery bank is combined with that of the wind-diesel system. The reliability analysis of the overall system is conducted by combining power outputs of the wind and diesel generation units with battery throughout all wind speed frames to obtain the reliability indices, Loss of Load Probability (LOLP) and Expected Energy Not Supplied (EENS), which reflect a long term performance of the hybrid power system. By employing the wind speed frame the intermittent characteristics of wind speed and turbine failure can be easily taken into account. Simultaneously the modeling process can be greatly simplified and the calculation time can be saved as well. This model is suitable for system reliability assessment for both system planning and system optimization.