Mohammad Mahmoudian Esfahani

TL;DR: Numerical results obtained from running the algorithm on the modified IEEE 30-bus test system and the transmission network of Esfahan Regional Power Network demonstrate convincingly the ability of the proposed algorithm in the congestion management cost and load shedding reduction, while it increases the power system security margin in intensive congestion cases significantly.

TL;DR: A hierarchical optimization algorithm in a multiagent-based area is anticipated to not only minimize the optimization solution time, but also reduce the dependency on the network in grid-connected mode or load shedding in islanded mode.

TL;DR: An adaptive real-time congestion management (RTCM) method which optimally employs adaptive thermal ratings of transmission lines to manage real- time congestions using all power system capabilities is proposed.

TL;DR: A centralized control approach using a cosimulation platform to monitor operational modes and multiple microgrid topologies to find fault and clear them optimally and this technique is investigated on IEEE 14 bus microgrid system.

TL;DR: A co-simulation platform for microgrid based on multiagent system (MAS) when the communication is available in the system and the design of the control algorithm for the battery's ac/dc converter is developed with single mode operation to eliminate the reliance on communicated control command signals to shift the controller between different modes.