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Load Pattern Window Aware Power Supply Device Clustering
Wanxing Sheng,Ke-yan Liu,Yixi Yu,Rungong An,Ningnan Zhou,Xiao Zhang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8
Data-driven decision in big data era is becoming ubiquitous in electronic grid. In particular, daily collected power consumption records enable workload aware device clustering, which is crucial for critical domain applications such as device functionality identification. In this paper, we propose a load pattern window aware method for clustering power supply devices. Our approach overcomes the drawbacks in existing works, such as fuzzy based clustering, K-means based clustering and neutral network based clustering. After investigating the large scale records from power supply devices, our approach partitions device records into disjoint time intervals with parameterized window size, which indicate the load pattern feature for a period of time given a specific device. Devices are then decomposed into a mixture of these features, and those devices with similar dominating features are grouped together. The experimental results demonstrate the effectiveness and efficiency of our solution based on the real data collected from power grid in China.
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Robust Unit Commitment with Virtual Synchronous Renewables
Zhang Wei-Chao,Sheng Wanxing,Duan Qing,Sha Guanglin,Zhang Yao,Huang Hanyan,Yan Xiangwu 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
With the increasing penetration of renewable energy sources and the consequent displacement of synchronous generators, the frequency stability of power systems deteriorates since RESs cannot participate in active power and frequency control. By emulating the outer characteristics of SGs and deloading a controllable margin, RESs can also keep headroom and provide frequency responses. This paper focuses on incorporating virtual synchronous renewables into the unit commitment to optimize the joint scheduling of energy production and spinning reserves. First, based on the interval representation of renewable uncertainty, the renewable output is decomposed into the stochastic and dispatchable portions. The dispatchable portion, defi ned as VSRs, can keep deterministic regulation headroom and participate in power balance regulation. Second, a robust security-constrained unit commitment model is proposed to achieve optimal scheduling in face of multiple uncertainties. The fl exibility of the pumped-storage hydro station is also considered. Third, the solution strategies which linearize the nonlinear terms in the objective function and constraints are introduced. Finally, the correctness and eff ectiveness of the robust unit commitment model are tested and verifi ed in the modifi ed 39-bus system.
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