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A generation-reserve co-optimization approach considering wind power cross-regional accommodation

机译:考虑风电跨区域适应性的发电-备用协同优化方法

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In recent years, the wind power industry of China has a rapid development. However, because of the uncertainty, randomness and fluctuation nature of wind power, the problem of its integration and accommodation has become the bottleneck of its sustainable development. Cross-regional accommodation has emerged as an attractive and challenging research area due to the fact that wind energy resource is usually far away from load center and hard to be used locally. Thus, a generation-reserve co-optimization dispatch method for wind power integrated power system considering cross-regional accommodation is proposed in this paper. Considering the prediction errors of wind power and load demand and also equipment failures, the reserve requirement for each area is calculated based on the theory of conditional value-at-risk. Further, generating units are scheduled optimally, and the geographical allocation and levels of the required reserves are determined taking into account interregional transmission line constraints. The aim of this paper is to promote the wind power accommodation in a larger spatial scale and also the system efficiency from both the economic and security point of view. The reasonableness and effectiveness of the constructed model is validated by case study.
机译:近年来,中国的风电产业发展迅速。然而,由于风力发电的不确定性,随机性和波动性,其整合和适应性问题已成为其可持续发展的瓶颈。由于风能资源通常远离负荷中心并且难以在本地使用,因此跨区域住宿已成为一个有吸引力且具有挑战性的研究领域。因此,本文提出了一种考虑跨区域适应性的风电集成发电系统发电—备用协同优化调度方法。考虑到风电和负荷需求的预测误差以及设备故障,基于条件风险值理论计算每个区域的储备需求。进一步地,发电机组被最佳地调度,并且考虑到区域间传输线的约束来确定所需储备的地理分配和水平。本文的目的是从经济和安全角度出发,在更大的空间范围内促进风力发电的适应,并提高系统效率。通过案例研究验证了所构建模型的合理性和有效性。

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