An Optimal Coordinated Method for EVs Participating in Frequency Regulation Under Different Power System Operation States | Zendy

Canbing Li | Zendy; Long Zeng | Zendy; Bin Zhou | Zendy; Xubin Liu | Zendy; Qiuwei Wu | Zendy; Di Zhang | Zendy; Sheng Huang | Zendy

Open Access

An Optimal Coordinated Method for EVs Participating in Frequency Regulation Under Different Power System Operation States

Author(s) -

Canbing Li,

Long Zeng,

Bin Zhou,

Xubin Liu,

Qiuwei Wu,

Di Zhang,

Sheng Huang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2875929

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper proposes an optimal coordinated method for electric vehicles (EVs) participating in frequency regulation (FR) under different power system operation states (PSOSs). In the proposed methodology, the FR power of EVs and generators is coordinated with different optimization objectives for power system secure and economic operations. When a power system operates in normal state, the minimum FR cost is used as an optimization objective considering the battery degradation cost. In the abnormal state, the minimum frequency restoring time is considered in the optimization objective. Based on the optimized results in different scenarios, the output power coordinated control rule between EVs and generators is drawn. Simulations on an interconnected two-area power system have validated the superiority of the proposed optimized coordinated control strategy.

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