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Robust environmental-economic dispatch incorporating wind power generation and carbon capture plants

机译:结合风力发电和碳捕集设备的强大的环境经济调度

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Utilizing clean renewable generation and carbon capture plants (CCPs) can remarkably reduce the carbon emission from electricity production. Because operating carbon capture facility consumers additional energy, minimizing the production cost and reducing the carbon emission may conflict with each other. To compromise these two objectives and cope with uncertain wind generation, this paper proposes a robust environmental-economic dispatch (EED) method that jointly optimizes energy and reserve schedules in the upcoming dispatch period. The operating characteristic of CCP and the volatility of wind energy are considered in the proposed model. Because both objectives are convex functions, the Pareto front can be readily computed by using the 8-constraint method. The Nash bargaining criterion is adopted to determine a fair trade-off between the generation cost and the carbon emission in the absence of a clear carbon tax or emission cap. A second-order cone program (SOCP) is proposed to locate the bargaining solution on the Pareto front. An adaptive scenario generation algorithm is derived to solve the robust EED problem in a tractable manner. The PJM 5-bus system is used to illustrate the obtained dispatch strategy, and demonstrate the contribution of CCPs on reducing the carbon emissions and enhancing the operational flexibility. Case studies on the IEEE 118-bus system corroborate the applicability of the proposed method. (C) 2016 Elsevier Ltd. All rights reserved.
机译:利用清洁的可再生能源发电和碳捕获厂(CCP)可以显着减少电力生产中的碳排放。由于运行中的碳捕集设施会消耗更多的能源,因此将生产成本降至最低并减少碳排放可能会相互冲突。为了兼顾这两个目标并应对不确定的风力发电,本文提出了一种鲁棒的环境经济调度(EED)方法,该方法可共同优化即将到来的调度期的能源和储备调度。该模型考虑了CCP的运行特性和风能的波动性。由于两个目标都是凸函数,因此可以使用8约束方法轻松计算Pareto前沿。在没有明确的碳税或排放上限的情况下,采用纳什议价标准来确定发电成本与碳排放之间的公平权衡。提出了一个二次锥程序(SOCP),以将讨价还价解决方案定位在帕累托前沿。导出了一种自适应场景生成算法,以一种可解决的方式解决了鲁棒的EED问题。 PJM 5总线系统用于说明获得的调度策略,并展示CCP在减少碳排放和提高操作灵活性方面的贡献。 IEEE 118总线系统的案例研究证实了该方法的适用性。 (C)2016 Elsevier Ltd.保留所有权利。

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