Analytical FRTU deployment approach for reliability improvement of integrated cyber-physical distribution systems

作者：Wang, Shouxiang^*; Liang, Dong; Ge, Leijiao; Wang, Xudong

来源：IET Generation Transmission & Distribution, 2016, 10(11): 2631-2639.

DOI：10.1049/iet-gtd.2015.1050

• power distribution reliability
• distributed power generation
• power grids
• cyber-physical systems
• nonlinear programming
• integer programming
• power distribution control
• 62-bus distribution system
• China southern power grid
• RBTS-BUS4 distribution system
• customer interruption
• life cycle cost
• underground distribution feeders
• overhead distribution feeders
• mixed-integer nonlinear programming problem
• dynamic control
• situational awareness
• FRTU deployment problem

The increasing of distributed generators and high demand of customer service quality of recent years keep challenging the design and operation of electric power distribution systems. The future smart distribution grid is envisioned to be a large complex cyber-physical distribution system (CPDS), where physical grid components are monitored and controlled based on the interactions on the cyber space. As sensors and controllers, smart feeder remote terminal units (FRTUs) transfer necessary data to the control centre for situational awareness, and receive orders from the control centre for dynamic controlling. This study introduces an analytical FRTU deployment approach for the reliability improvement of integrated CPDSs. The FRTU deployment problem is modelled as a mixed-integer non-linear programming problem, which aims to minimise the total cost with the reliability index of average service available index as the constraint. Two kinds of distribution feeders (overhead and underground) are considered. The total cost includes the life cycle cost of FRTUs in addition to customer interruption cost. The proposed model can be solved by large-scale commercial solvers in an efficient manner. Test results of the RBTS-BUS4 distribution system and a China Southern Power Grid 62-bus distribution system validate the accuracy and effectiveness of the approach. Comparison with the genetic algorithm also shows its great efficiency.

• 出版日期2016-8-4
• 单位天津大学