Visible to the public Biblio

Filters: Keyword is optimization method  [Clear All Filters]
2020-02-17
Leite, Leonardo H. M., do Couto Boaventura, Wallace, de Errico, Luciano, Machado Alessi, Pedro.  2019.  Self-Healing in Distribution Grids Supported by Photovoltaic Dispersed Generation in a Voltage Regulation Perspective. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). :1–6.
Distributed Generation Photovoltaic Systems -DGPV - connected to the power distribution grid through electronic inverters can contribute, in an aggregate scenario, to the performance of several power system control functions, notably in self-healing and voltage regulation along a distribution feeder. This paper proposes the use of an optimization method for voltage regulation, focused on reactive power injection control, based on a comprehensive architecture model that coordinates multiple photovoltaic distributed sources to support grid reconfiguration after self-healing action. A sensitivity analysis regarding the performance of voltage regulation, based on a co-simulation of PSCAD and MatLab, shows the effectiveness of using dispersed generation sources to assist grid reconfiguration after disturbances caused by severe faults.
2018-05-09
Livshitz, I., Lontsikh, P., Eliseev, S..  2017.  The optimization method of the integrated management system security audit. 2017 20th Conference of Open Innovations Association (FRUCT). :248–253.

Nowadays the application of integrated management systems (IMS) attracts the attention of top management from various organizations. However, there is an important problem of running the security audits in IMS and realization of complex checks of different ISO standards in full scale with the essential reducing of available resources.

2018-02-06
Xiong, X., Yang, L..  2017.  Multi End-Hopping Modeling and Optimization Using Cooperative Game. 2017 4th International Conference on Information Science and Control Engineering (ICISCE). :470–474.

End-hopping is an effective component of Moving Target Defense (MTD) by randomly hopping network configuration of host, which is a game changing technique against cyber-attack and can interrupt cyber kill chain in the early stage. In this paper, a novel end-hopping model, Multi End-hopping (MEH), is proposed to exploit the full potentials of MTD techniques by hosts cooperating with others to share possible configurable space (PCS). And an optimization method based on cooperative game is presented to make hosts form optimal alliances against reconnaissance, scanning and blind probing DoS attack. Those model and method confuse adversaries by establishing alliances of hosts to enlarge their PCS, which thwarts various malicious scanning and mitigates probing DoS attack intensity. Through simulations, we validate the correctness of MEH model and the effectiveness of optimization method. Experiment results show that the proposed model and method increase system stable operational probability while introduces a low overhead in optimization.