Design and Implementation of Multiagent-Based Distributed Restoration System in DAS

Robust Restoration Decision-Making Model for Distribution Networks Based on Information Gap Decision Theory

“…Equation (7) represents the states of the branches by Boolean variables. Equation (8) describes the relationship between the number of connected branches, the number of buses, and the number of roots (feeders); this constraint is necessary to ensure the radial operation of the network. Equation (9) is the active and reactive power balance.…”

Survey of multi-agent systems for microgrid control

“…Several approaches to using MAS in distributed power systems are proposed in the literature (Nagata and Sasaki, 2002;Chen et al, 2013;Lim et al, 2013;Solanki et al, 2007;Lo et al, 2009) indicating that for fault detection, isolation and service restoration, MAS could provide an alternative to a centralized processing system.…”

Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems

“…The communication network of the RBTS bus 2 is assumed to be a ring network which is also depicted by the dashed lines in Figure 4. In the simulation, the response time to apply restore function is assumed to be 5 min, and the time required to repair a permanent failure or the control center server is assumed to be 60 minutes [3]. The importance of each load is given in Table 2, the other detailed information of RBTS bus 2 is shown in reference [31].…”

“…In a power distribution system, with the help of advanced information technologies and intelligent feeder remote terminal units (FRTU), a distribution automation system (DAS) is able to provide higher reliability, greater efficiency and intensive interactions with consumers [3].…”