journal1 ›› 2015, Vol. 48 ›› Issue (11): 54-59.DOI: 10.11930/j.issn.10.11930.2015.11.54

• Power System • Previous Articles     Next Articles

Research on the Difference Mechanism and Evaluation Indices of ACDC Control Measures for Improving Frequency Safety

LI Wei1, CHEN Tao2, FENG Li2, LV Yazhou1, LIU Fusuo1, REN Xiancheng1, BAI Shibin3,DING Maosheng3, XIANG Li3   

  1. 1. NARI Technology Development Co.Ltd, Nanjing 211000, China;
    2. State Grid Chongqing Electric Power Company,Chongqing 400014, China;
    3. State Grid Ningxia Electric Power Company, Yinchuan 750001, China
  • Received:2015-09-16 Online:2015-11-18 Published:2015-11-18
  • Supported by:
    This work is supported by Science and Technology Program of SGCC, Large Power Grid Program with important and specified Program of SGCC (SGCC-MPLG003-2012), Science and Technology Program of Ningxia Electric Power Company.

Abstract: The traditional control sensitivity index could be a good measure to optimize the next direction of searching control strategy and avoid the negative effect. But the perturbation calculation is needed to obtain the sensitivity of each control measure, which would not be suitable for rapid online decision-making requirements. In this paper, from the standpoint of positive and negative effect of control measures, the mechanism of improving frequency safety sensitivity of various control measures is expounded. The conception and calculation method of the actual effect of frequency safety control is proposed. The fast evaluation indices of generator tripping and load shedding and HVDC modulation is also proposed, which could obtain the performance parameters of all control measures from one simulation. Actual power system simulation indicates that these evaluation indices have similar control sensitivity of the perturbation calculation and can significantly reduce the calculation quantity of simulation and improve the strategy searching efficiency for seeking out the practical optimal control strategy.

Key words: frequency safety, quantitative analysis, sensitivity, evaluation indices, negative effects, actual effect of control measures

CLC Number: