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author:

Fang, C. (Fang, C..) [1] | Wu, X. (Wu, X..) [2] | Jiang, Y. (Jiang, Y..) [3] (Scholars:江岳文)

Indexed by:

Scopus PKU

Abstract:

With the continuous development of wind power and load demands, new challenges arc brought to power grid planning by the issues including transmission congestion, wind curtailment, and operation safety and so on. Due to the fast response, flexible configuration and wide application, energy storage systems play an important role in wind power accommodation, transmission congestion, and system safe operation. In order to improve the transmission capacity and anti- disturbance capability of a power grid, the power transmission capacity, wind curtailment level and transient stability are comprehensively considered at the planning and operation level by involving the transient operation characteristics after faults. A two-layer network-storage joint planning model is established in multi-objective form with the system construction-operation indicator and system stability indicator. The outer-layer model is a multi-objective model considering the locating and sizing of the energy storage systems. The inner-layer model is a transmission network expansion planning model considering the unit commitment problem. In order to improve the solution efficiency, the power flow constraint of the expanded line, the charge and discharge model of the energy storage system and the generation cost curve are linearized. By solving the proposed model using NSGA-II algorithm combined with GUROBI and developing the case study in the improved Garvcr 6-bus system, the validity and rationality of this model are verified in different scenarios. © 2020, State Power Economic Research Institute. All rights reserved.

Keyword:

Energy storage system; Multi-objective optimization; Transmission network expansion planning; Unit commitment; Wind power integration

Community:

  • [ 1 ] [Fang, C.]Economic Research Institute, State Grid Fujian Electric Power Co. . Ltd, Fuzhou, 350012, China
  • [ 2 ] [Wu, X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Jiang, Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Source :

Electric Power Construction

ISSN: 1000-7229

CN: 11-2583/TM

Year: 2020

Issue: 7

Volume: 41

Page: 58-66

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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