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Deployment and control of PHEVs in electrical power systems with wind power penetration

机译:具有风力渗透的电力系统的PHEV部署与控制

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Large penetration of wind power in congested and weak power networks could lead to severe problems due to variation in wind speed. Hence, severe voltage and frequency fluctuations occur due to fast intermittent power generation. In this work, quasi-static models have been implemented to investigate the effect of wind power variations on classical power generation as well as network frequency. Probabilistic PHEVs models are deployed to absorb wind power fluctuations and improve system frequency response. The developed control strategy for PHEVs demand management is integrated with existing control infrastructure on both power plant and center control levels. The developed control reduces frequency fluctuations due to fast wind power transients and guarantees charging of the PHEVs plugged into the system by the end of their connection period. The developed quasi-static time-series (QSTS) simulation model accounts for primary control, optimized unit participation, and economic dispatch. The frequency is represented as state variable whereas the continuous power-flow is solved using Gauss-Seidel method. PHEVs are aggregated through the network based on probabilistic distribution of both traveling distance and parking time. The results calculated for the IEEE 30-bus shows that integration of PHEVs with wind power energy systems improves the system frequency response and provide fast and dynamic power supply in case of power shortcoming along the day.
机译:由于风速的变化,充满了拥挤和弱电网风电的大渗透可能导致严重的问题。因此,由于快速间歇发电,严重的电压和频率波动发生。在这项工作中,已经实施了准静态模型来研究风力变化对经典发电以及网络频率的影响。部署概率PHEVS模型以吸收风电波动并提高系统频率响应。 PHEVS需求管理的开发控制策略与电厂和中心控制电平的现有控制基础设施集成。开发的控制减少了由于快速风电瞬变引起的频率波动,并通过连接时段结束,保证将PHEV充电进入系统。开发的准静态时间系列(QST)仿真模型占主控,优化的单位参与和经济派遣。频率表示为状态变量,而使用高斯-Seidel方法求解连续的电流。 PHEV基于行驶距离和停车时间的概率分布来通过网络聚合。为IEEE 30-Sus计算的结果表明,使用风电能量系统的PHEV集成可提高系统频率响应,并在沿当天的电源缺点提供快速和动态的电源。

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