A Probabilistic Multi-Objective Model for Phasor Measurement Units Placement in the Presence of Line Outage

Yu Huang, Shuqin Li, Xinyue Liu, Yan Zhang, Li Sun and Kai Yang
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Yu Huang: Department of Automation, North China Electric Power University, Baoding 071000, China
Shuqin Li: Department of Automation, North China Electric Power University, Baoding 071000, China
Xinyue Liu: Department of Automation, North China Electric Power University, Baoding 071000, China
Yan Zhang: Department of Automation, North China Electric Power University, Baoding 071000, China
Li Sun: Key Lab of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
Kai Yang: Department of Automation, North China Electric Power University, Baoding 071000, China

Sustainability, 2019, vol. 11, issue 24, 1-12

Abstract: Optimal phasor measurement units (PMU) placement was developed to determine the number and locations of PMUs on the premise of full observability of the whole network. In order to enhance reliability under contingencies, redundancy should also be considered beside the number of PMUs in optimal phasor measurement units placement problem. Thus, in this paper, a multi-objective model was established to consider the two conflicting components simultaneously, solved by ε-constraint method and the fuzzy satisfying approach. The redundancy here was formulated as average possibility of observability including random component outages, and full possibility formula was applied to calculate the average possibility of observability in the case of single line outage. Finally, the model was employed to the IEEE-57 bus system, and the results verified that the developed model could provide a placement scheme with higher reliability.

Keywords: average possibility of observability; ?-constraint; fuzzy satisfying approach average; multi-objective; PMU placement (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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