Abstract
The reasonable clustering of large-scale distributed generations (DGs) can optimize the scheduling control and operation monitoring of the power grid, which ensures the orderly and efficient integration of DGs into the power system. In this article, the influence of internal and external flexible resources is considered in the DG cluster partition, and the comprehensive performance indexes with expanded dynamic time scenario are proposed to realize the dynamic cluster partition. Firstly, the active and reactive power balance indexes considering the flexible resources are derived, which forms the comprehensive index together with the structure index. Then, the comprehensive index is expanded to the dynamic forms, which reflects the real-time cluster performance, and the cluster partition method is given with the genetic algorithm. Finally, the effectiveness verification of the proposed cluster partition method is carried out with the 14- and 33-bus systems.
Highlights
In recent years, due to the support of national renewable energy policy for sustainable development and people’s awareness of green environmental protection, large-scale distributed generations (DGs) such as hydroelectric power generation, photovoltaic, and wind power have been developing rapidly, which brings certain impact on the safe and stable operation and management of the power grid [1,2,3]
The main application scenarios of DG cluster are system planning and scheduling control, and from the contents published in several works in the literature, the focus of cluster partition is on scheduling control, such as grid partitioning [5, 6], voltage control partitioning [7,8,9], and group regulation and group control [10, 11]
In [12], a distributed Newton-based voltage control method is presented to realize distributed coordination of PV generation cluster, which can fast respond to voltage mismatch and realize voltage profiles optimization
Summary
Due to the support of national renewable energy policy for sustainable development and people’s awareness of green environmental protection, large-scale distributed generations (DGs) such as hydroelectric power generation, photovoltaic, and wind power have been developing rapidly, which brings certain impact on the safe and stable operation and management of the power grid [1,2,3]. Compared with other cluster partition problems for power system, the factors needed to consider DGs cluster partition are relatively more, including the electrical distance, the active and reactive power balance, and the flexible resources How to combine these factors to form the real-time comprehensive index in the expanded dynamic time scenarios is the main difference. The improvement of the partition method makes DG cluster become an important solution for renewable energy grid integration [14, 15] and how to realize the dynamic cluster partition of DGs considering expanded dynamic time scenarios needs to be furtherly studied. The influence of internal and external flexible resources is considered in the DG cluster division, and the comprehensive performance indexes with the expanded dynamic time scenario are proposed to realize the dynamic cluster partition. The effectiveness verification of the proposed comprehensive index is carried out with the 14- and 33-bus system
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