Reserve Dynamic Zone Partitioning Method Based on Semi-Supervised Clustering Considering Wind Power

doi:10.3969/j.issn.1000－7229.2018.01.012

Abstract

Abstract: ABSTRACT： With the continuous access of new energy and the increasingly complex structure of the power grid, the operating state of the power system is complex and changeable. The spinning reserve calculation method based on fixed zone partitioning is unable to effectively deal with the volatility of the source-network-load and the resulting congestion transmission problem. Firstly a energy and reserve co-optimization unit commitment is studied. Secondly congestion transmissions are evaluated considering wind power uncertainty and N－1 contingency. Then, taking the power transfer distribution factor (PTDF) of congestion line as similarity measure, partition iterative method is proposed based on semi-supervised spectral clustering. Finally, reserve capacity configuration is determined based on the result of dynamic zone partitioning. This paper use a 39 bus system and a 118 bus system separately for simulation. The result shows that the proposed reserve dynamic zone partitioning method can automatically determine the number of zone partitioning and is reasonable to reserve partition；the zonal reserve could guarantee the delivery of spinning reserve.

Key words:

KEYWORDS： reserve dynamic zone partitioning, power transfer distribution factor (PTDF), spectral clustering, unit commitment

CLC Number:

TM 73

LIU Yang，YAN Zheng，MA Hongyan，XU Xiaoyuan. Reserve Dynamic Zone Partitioning Method Based on Semi-Supervised Clustering Considering Wind Power[J]. Electric Power Construction, 2018, 39(1): 90-.

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