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Short-Term Operation Model and Risk Management for Wind Power Penetrated System in Electricity Market

机译:电力市场中风电渗透系统的短期运行模型与风险管理

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摘要

In view of the uncertainty and intermittency of wind power, this paper proposes an optimal economical dispatch (ED) model and develops a method to estimate risk and manage hybrid power systems $({rm traditional} + {rm wind~power~systems})$ for the short-term (24 h) operations. The model and the method have taken into account the large wind power penetration and the wind variability. The particle swarm optimization (PSO) algorithm with constraints is applied to solve the ED problem. Value at risk (VaR) and integrated risk management (IRM) are used separately to assess the risk, so that an optimal tradeoff between the profit and risk is made for the system operations. The model and the method are tested on the standard IEEE 30-bus power system and network in Shanghai. The validity of the model and the method has been approved.
机译:鉴于风电的不确定性和间歇性,本文提出了一种最优的经济调度(ED)模型,并开发了一种估计风险和管理混合动力系统$({rm传统} + {rm wind〜power〜systems})的方法。短期(24小时)操作的$。该模型和方法已经考虑到大的风力穿透力和风的可变性。应用带约束的粒子群算法(PSO)解决ED问题。风险价值(VaR)和综合风险管理(IRM)分别用于评估风险,以便在系统运营中实现利润和风险之间的最佳权衡。该模型和方法在上海的标准IEEE 30总线电源系统和网络上进行了测试。该模型和方法的有效性已被批准。

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