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A framework for uncertainty quantification and economic dispatch model with wind-solar energy

机译:风光能不确定性量化与经济调度模型框架

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More and more renewable energy generations are being connected to power system, such as wind power, solar power, together with the load forecasting deviation, so there is a growing need to study impacts of multiple different uncertainties on system. It is important that operators understand how these stochastic characteristics of uncertainties affect the stable operation of power system. In this paper, the combinations of uncertainties that are power fluctuation due to forecasting deviation of wind speed, solar radiation and load. Framework is established including joint probabilistic models of several uncertainties and the risk models of load shed under two different scenarios. An economic dispatch model considering unit commitment is proposed to minimize the generation cost and operational cost and starting-up cost of conventional power units, combined heat and power (CHP) units and heat-only units. However, high/low risk of load shed does not represent large/small of load loss in fact, thus the load loss is defined as multiplying of load shed risk and load loss amount, which is described by methodology of alpha-superquantile. Effectiveness of proposed model is examined by case studies and the numerical results are presented. (C) 2015 Elsevier Ltd. All rights reserved.
机译:越来越多的可再生能源发电与风电,太阳能等电力系统连接在一起,并且负荷预测偏差也越来越大,因此越来越需要研究多种不同不确定性对系统的影响。操作员必须了解这些不确定性的随机特性如何影响电力系统的稳定运行,这一点很重要。在本文中,不确定性的组合是由于预测风速,太阳辐射和负载的偏差而引起的功率波动。建立了框架,包括几种不确定性的联合概率模型和两种不同情况下的负荷下降风险模型。提出了一种考虑机组承诺的经济调度模型,以最大程度地降低常规动力机组,热电联产(CHP)机组和仅热机组的发电成本,运营成本和启动成本。但是,甩负荷的高/低风险实际上并不代表甩负荷的大/小,因此,将甩负荷定义为甩负荷风险与甩负荷量的乘积,用α-超分位数的方法进行描述。通过案例研究验证了所提模型的有效性,并给出了数值结果。 (C)2015 Elsevier Ltd.保留所有权利。

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