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A Model for Optimizing Spinning Reserve Requirement of Power System Under Low-Carbon Economy

机译:低碳经济下电力系统自旋储备需求的优化模型

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摘要

Spinning reserve (SR) capacity setting is an effective measure to ensure the reliability of power system operation. Traditional models for SR optimization are mainly concerned with the economic and security factors. In this paper, the concept of a low-carbon economy is introduced into the power system SR optimization while considering the emergence of low-carbon factors and their impact on the SR optimization under the condition of low-carbon economy, and then a model for optimizing SR requirement of power system is proposed under low-carbon economy. The proposed model integrates and formulates low-carbon factors such as the cost of low-carbon power technology, carbon trading cost, and the penalties for excess carbon emission and considers the constraint of the ${bf CO}_{bf 2}$ reduction targets, aiming to provide a more comprehensive evaluation method for SR requirement of power system under low-carbon economy. SR optimization based on the IEEE-RTS 96 system is studied by applying the proposed model and the results prove it to be more adaptable and effective for the sustainable development of future power systems.
机译:设置旋转备用(SR)容量是确保电力系统运行可靠性的有效措施。传统的SR优化模型主要涉及经济和安全因素。本文将低碳经济的概念引入电力系统的SR优化中,同时考虑了低碳因素的出现及其在低碳经济条件下对SR优化的影响,然后建立了一个模型。提出了在低碳经济下优化电力系统SR要求的方法。所提出的模型整合并制定了低碳因素,例如低碳电力技术的成本,碳交易成本以及超额碳排放的罚款,并考虑了 $ {bf CO} _ {bf 2} $ 减排目标,旨在为低碳经济下电力系统的SR要求提供更全面的评估方法。应用该模型对基于IEEE-RTS 96系统的SR优化进行了研究,结果表明该模型对未来电力系统的可持续发展具有更大的适应性和有效性。

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