2014/03/05 by Emiliano Dall’Anese, Sairaj V. Dhople, Dall'Anese, Emiliano +6
Engineering · #FOS: Mathematics #Microgrid Control and Optimization #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Smart Grid Energy Management
paper · pdf · doi:10.48550/arxiv.1403.1341
openalex publication_date 2014/03/05 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
Decentralized methods for computing optimal real and reactive power setpoints\nfor residential photovoltaic (PV) inverters are developed in this paper. It is\nknown that conventional PV inverter controllers, which are designed to extract\nmaximum power at unity power factor, cannot address secondary performance\nobjectives such as voltage regulation and network loss minimization. Optimal\npower flow techniques can be utilized to select which inverters will provide\nancillary services, and to compute their optimal real and reactive power\nsetpoints. Leveraging advances in semidefinite relaxation techniques and\nsparsity-promoting regularizations, such problems can be solved with reduced\ncomputational burden and with optimality guarantees. To enable large-scale\nimplementation, a novel algorithmic framework is introduced - based on the\nso-called alternating direction method of multipliers - by which the optimal\npower flow problem in this setting can be systematically decomposed into\nsub-problems that can be solved in a decentralized fashion by the utility and\ncustomer-owned PV systems with limited exchanges of information. Since the\ncomputational burden is shared among multiple devices and the requirement of\nall-to-all communication can be circumvented, the proposed optimization\napproach scales to large distribution networks.\n