Application of game theoretic approaches for identification of critical parameters affecting power system small-disturbance stability

作者：Hasan Kazi Nazmul^*; Preece Robin; Milanovic Jovica V

来源：International Journal of Electrical Power & Energy Systems, 2018, 97: 344-352.

DOI：10.1016/j.ijepes.2017.11.027

• Power system stability
• Probabilistic assessment
• Sensitivity analysis
• Small-disturbance stability
• Game theory
• Uncertainty

This paper evaluates a number of game theoretic (GT) approaches with the aim of assessing their suitability to identify the most influential parameters affecting the small-disturbance stability of a power system. Identification of the most influential parameters affecting system stability will facilitate cost-effective operation and control of a power system in general as it would require limited network monitoring, control and modelling effort by system operators and stakeholders. After identifying the most influential parameters the financial and human resources could be adequately prioritised and deployed to solve or prevent power system stability problems. A priority ranking procedure based on a GT approach has the advantage, compared to other techniques, of considering simultaneously the effect of individual and all possible combinatorial effects of the uncertain parameters (or players in a game context). In this study, the most influential players have been identified through a multi-level approach considering the power flow in the network (by optimal power flow), small disturbance stability aspects (by modal analysis), rational behavior of individual players (by a sensitivity technique) and formation of groups between players (by cooperative game theory). Various GT approaches have been considered namely Shapley Value, Aumann Shapley, Nucleolus, and z-value approach in order to compare and assess their suitability for power system applications. The results are illustrated using two test networks and considering several approaches of sensitivity analysis and different degrees of variability in the considered uncertainties.

• 出版日期2018-4