Showing 3 results for Smart Grid.
S. Jadid, O. Homaee, A. Zakariazadeh,
Volume 10, Issue 2 (10-2013)
Abstract
Voltage control is one of the imperative issues in the smart distribution control system. While traditional distribution network is equipped with communication and monitoring equipment, the online voltage control can be perfectly achieved. With using these smart grid technologies, the distribution voltage control schemes should carry out intelligently and cover the undesirable effect of high penetration of renewable distributed generation. This paper presents a new approach that improved the conventional voltage control models. The proposed approach needs measuring and communication equipment less than other methods, and can cover the renewable distributed generation impact on distribution network. The proposed online voltage control model was tested on typical distribution network. The results show that the proposed model can stabilize voltage in predefined range in different consumer load fluctuation conditions and variable renewable generation levels.
Dr. Seyed Erfan Hosseini, Dr. Alimorad Khajehzadeh, Dr. Mahdiyeh Eslami,
Volume 20, Issue 4 (12-2023)
Abstract
Individual and public awareness of global warming and pollution has required the different sectors of industry to pay more attention to this issue and take some action in this regard. The electrical industry as the backbone of most other industries should devote more effort for pollution reduction. Unit commitment is the process of determining the state of the units for the day-ahead market. Therefore, managing unit commitment is the best option for contamination reduction. However, in the smart grid, customers can be part of the market via demand response programs. On the other hand, congestion is one of the main problems of the transmission network. Demand response programs could have a positive effect on congestion alleviation as they reduce the total power transmitted via the transmission system.
In this paper, the effect of aggregated demand response programs as virtual power plants on operation cost, congestion and emission of network-constrained unit commitment is investigated. Moreover, the best rate of the incentive paid to the demand response programs participants is determined. In this study, according to the simultaneous implementation of the unit commitment problem and the demand response program, which is a complex nonlinear problem with continuous and discrete variables, the MILP method has been applied. Moreover, the transmission system is also considered to fully analyze the impact of demand response programs in the electricity market and its impact on reducing congestion. The recommended strategy is carried out on the IEEE 24 bus reliability test system to prove the effectiveness of demand response programs integration for cost and emission reduction.
Dr. Hamidreza Toodeji, Dr. Mohsen Jannati,
Volume 21, Issue 4 (12-2024)
Abstract
Modern voltage control strategies in the present distribution networks require efficient equipment as well as appropriate communication channels between these equipment, sensors and control centers, which has led to smart distribution networks with a complex cyber-physical nature. One of the efficient equipment for voltage control in modern distribution networks is the DSTATCOM, which uses using multilevel converters in its structure, provides many advantages, such as direct connection to the grid. A DSTATCOM with the multilevel converter requires a cyber-physical network between the controller and its components due to the presence of many controllable components, which makes it vulnerable to cyber-attacks, when connected to the present smart distribution networks. In this paper, a feedback linearization-based controller is developed for the cascaded multilevel DSTATCOM, and a discrete Kalman filter-based method is proposed to detect and compensate false data injection cyber-attacks on voltage sensors of the multilevel converter. The abilities of the proposed nonlinear controller to control the multilevel DSTATCOM as well as the reliable operation against false data injection attacks are verified through the simulation of a test power network in the MATLAB/Simulink environment.
