Open AccessDistribution system planning incorporating distributed generation and cyber system vulnerability
Author(s) -
Wang HongHao,
Shi Libao,
Ni Yixin
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0720
Subject(s) - computer science , scada , vulnerability (computing) , load shedding , reliability engineering , reliability (semiconductor) , genetic algorithm , photovoltaic system , distributed generation , scheme (mathematics) , electric power system , distributed computing , renewable energy , computer security , engineering , power (physics) , mathematical analysis , physics , mathematics , quantum mechanics , machine learning , electrical engineering
An optimisation model for distribution network expansion is proposed to acquire the optimal economical scheme by planning the installation of distributed generations (DGs) as well as the investment on newly constructed lines. The scenario‐based method is employed to deal with the uncertainties of DGs including wind generation and photovoltaic units together with energy storage devices. Especially, the model highlights the cyber security requirements as additional constrains by means of introducing a risk index to evaluate the vulnerability of cyber system, and the payoff of cyber system failure is estimated by the load losses after the load shedding operations for the sake of system security and reliability. An improved genetic algorithm is applied to solve the aforementioned optimisation model. Finally, case studies are carried out on the 16‐bus system with typical substation automation architecture to verify the effectiveness of the proposed model and method.