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Joint operation of wind farm, photovoltaic, pump-storage and energy storage devices in energy and reserve markets

机译:在能源和储备市场中联合运营风电场,光伏,抽水蓄能和储能设备

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摘要

Renewable resources generation scheduling is one of the newest problems of the power markets. In this paper, joint operation (JO) of wind farms (WF), pump-storage units (PSU), photo-voltaic (PV) resources, and energy storage devices (ESD) is studied in the energy and ancillary service markets. There are uncertainties in wind power generation (WPG), photovoltaic power generation (PVPG) and the market prices. To model these uncertainties, the WPG is forecasted by using ARMA model and its scenarios are generated using Weibull distribution function. Moreover, other uncertain parameters are forecasted first, and their uncertainties are modeled by using scenario generation and scenario reduction method. The proposed JO method is used to determine the optimal bidding strategy of the PSU, PV, ESD and WF of IEEE 118-bus standard system. The results for these renewable energy resources confirm that the JO of these resources increases the profit and decreases the risk of the resources in comparison with their uncoordinated operation (UO).
机译:可再生资源的发电调度是电力市场的最新问题之一。本文在能源和辅助服务市场中研究了风电场(WF),抽水蓄能机组(PSU),光伏(PV)资源和储能设备(ESD)的联合运营(JO)。风力发电(WPG),光伏发电(PVPG)和市场价格存在不确定性。为了对这些不确定性进行建模,使用ARMA模型预测WPG,并使用Weibull分布函数生成其情景。此外,首先预测其他不确定参数,并使用情景生成和情景约简方法对它们的不确定性进行建模。提出的JO方法用于确定IEEE 118总线标准系统的PSU,PV,ESD和WF的最优竞标策略。这些可再生能源的结果证实,与非协调运行(UO)相比,这些资源的JO可增加利润并降低资源的风险。

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