Electric Power ›› 2019, Vol. 52 ›› Issue (8): 45-54.DOI: 10.11930/j.issn.1004-9649.201806152

Previous Articles     Next Articles

Evaluation of Interval Load N-K Contingency of Power System Based on DC Power Flow

HONG Shaoyun1, XING Haijun2, CHENG Haozhong3   

  1. 1. Construction Branch of State Grid Jiangxi Electric Power Co. Ltd., Nanchang 330000, China;
    2. Shanghai University of Electric Power, Shanghai 200090, China;
    3. Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2018-07-03 Revised:2018-12-13 Published:2019-08-14
  • Supported by:
    This work is supported by National Key Research and Development Plan of China (No.2016YB0900102).

Abstract: From the rigorous mathematical point of view,this paper evaluate K components of contingencies for generation and transmission system,which based on DC power flow system. There are many N-K contingent scenarios of interval load. In this paper, the optimal state and the minimum state with minimum load model of the N-K interval load are established from the optimization perspective. According to this, a bi-level optimization model is proposed for minimum load shedding of the worst state of power system considering generating unit contingency and interval load. The upper decision variables of the model is the state of units, lines and loads. The lower layer of the bi-level model is the minimum load shedding model based on DC power flow. In order to solve this model, the papers transforms the bi-level model to a mixed integer linear programming (MILP) by strong duality theory and linearized method. Finally, An IEEE standard system is used to testify the validity of the proposed model, in which the worst N-K case evaluation model of interval loads, units and lines (or transformers) faults are fully tested. Numerical results indicate that the method proposed in this paper is feasible and effective.

Key words: interval load, NK contingency, load shedding, bi-level linear optimization, mixed integer linear programming

CLC Number: