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Impacts of photovoltaic/wind turbine/microgrid turbine and energy storage system for bidding model in power system

机译:光伏/风力涡轮机/微电网涡轮机和储能系统对电力系统招标模型的影响

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摘要

In this work, a new model has been developed to examine and present a bidding method and a suitable strategy for large consumers. The proposed model is consists of different energy suppliers as: wind micro turbines, energy storage systems, renewable energy sources (wind turbine and solar system) and bilateral contracts. To solve the mentioned problem, a hybrid robust-stochastic method in which the load uncertainty, temperature and wind speed, the amount of solar radiation and the cost of purchasing energy are considered in the proposed model. In this work, load uncertainty and other uncertainties are modeled. Also, two types of weibull and normal distribution are utilized, that the first distribution is used to create wind speed scenarios and second distribution to create solar radiation, temperature and electricity market prices scenarios. Bidding and offering curves have been obtained via a mixed-integer linear programming model and this model has a significant effect on uncertainty in the demand of the large consumers. Effectiveness of proposed method is applied on standard system through different scenarios. Obtained results shows the efficiency of proposed method in large consumers and the presence of load uncertainty. (C) 2019 Published by Elsevier Ltd.
机译:在这项工作中,已经开发了一种新模型来检查并提出针对大型消费者的投标方法和合适的策略。提议的模型由不同的能源供应商组成,例如:微型风力发电机,储能系统,可再生能源(风力发电机和太阳能系统)以及双边合同。为了解决上述问题,提出了一种混合鲁棒随机方法,在该模型中考虑了负载不确定性,温度和风速,太阳辐射量以及购买能源的成本。在这项工作中,对负载不确定性和其他不确定性进行了建模。而且,使用了两种类型的威布尔分布和正态分布,一种是第一分布用于创建风速情景,另一种是用于创建太阳辐射,温度和电力市场价格情景。通过混合整数线性规划模型已经获得了投标和报价曲线,该模型对大型消费者需求的不确定性具有重大影响。所提方法的有效性通过不同场景应用于标准系统。所得结果表明,该方法在大用户中效率高,并且存在负载不确定性。 (C)2019由Elsevier Ltd.发布

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