网省两级AGC机组协调调度的二层规划模型

doi:10.19595/j.cnki.1000-6753.tces.171135

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Abstract

The existing model for automatic generation control (AGC) units dispatch in regional- provincial grid fails to recognize the leader-follower relationship between the regional and provincial dispatch centers, and also fails to address the different regulation duties and characteristics of region- and province-units. A new bi-level programming model for coordinated dispatch of AGC units in regional-provincial grid is thus proposed, which is in compliance with the regional-provincial grid operation principles and control performance standards (CPS) in China. This model is featured by region-province coordination mechanism, i.e., the regional dispatch center is the leader with the goal of assigning the overall regulation power to each provincial grid, while each provincial grid is the follower with the goal of optimizing regulation power of each province-unit. The upper model aims to minimize the overall AGC cost by coordinating control behaviors of all provinces and considering the constraints of frequency and tie-power. The lower model tries to minimize the local regulation cost by coordinating all the local AGC units subject to constraints such as CPS index. The upper and lower models are coupled through AGC task allocation and local regulation cost feedback. Compared with the single-level province decision model, numerical experiments on a sample bi-level gird including 5 provinces under two load variation scenarios demonstrate the effectiveness of the proposed model.

Key words： AGC unit regional-provincial power system bi-level programming coordinated dispatch control performance standard (CPS)

Received: 04 August 2017 Published: 30 October 2018

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TM734

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	Articles by authors
	Zhao Xia
	Ye Xiaobin
	Yang Lun
	Zhang Rongrong
	Yan Wei

Cite this article:

Zhao Xia,Ye Xiaobin,Yang Lun等. A Bi-Level Programming Model for Coordinated Dispatch of AGC Units in Regional and Provincial Power Grids[J]. Transactions of China Electrotechnical Society, 2018, 33(20): 4876-4887.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171135 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I20/4876

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