Distributed optimal power flow using feasible point pursuit

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)(2017)

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摘要
The AC Optimal Power Flow (OPF) is a core optimization task in the domain of power system operations and control. It is known to be nonconvex (and, in fact, NP-hard). In general operational scenarios, identifying feasible (let alone optimal) power-flow solutions remains hard. This paper leverages the recently proposed Feasible Point Pursuit algorithm for solving the OPF problem to devise a fully distributed procedure that can identify AC OPF solutions. The paper considers a multi-area setting and develops an algorithm where all the computations are done locally withing each area, and then the local controllers have to communicate to only their neighbors a small amount of information pertaining to the boundary buses. The merits of the proposed approach are illustrated through an example of a challenging transmission network.
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关键词
distributed optimal power flow,feasible point pursuit,AC Optimal Power Flow,core optimization task,power system operations,general operational scenarios,OPF problem,fully distributed procedure,AC OPF solutions,multiarea setting,local controllers,transmission network,boundary buses,OPF,NP
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