Feedback-Based Optimization With Sub-Weibull Gradient Errors and Intermittent Updates

Ospina, Ana M.; Bastianello, Nicola; DallrAnese, Emiliano

doi:10.1109/lcsys.2022.3167947

Cited by 4 publications

(2 citation statements)

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“…Exploring the flexibility of DERs in LV grids in order to fulfill certain goals, for example, generation cost minimization, can be formulated as an Optimal Power Flow (OPF) problem [4]. Recently, feedback‐based real‐time OPF methods have gained attraction, for example, due to their performance in dynamically changing environmental conditions and their ability to cope with model inaccuracies [5–16].…”

Section: Introductionmentioning

confidence: 99%

“…They utilize online feedback optimization (OFO) algorithms that generally drive a system towards an optimal operating point by means of incremental updates. In most approaches proposed in literature, constraints on endogenous variables (e.g., node voltages) are incorporated based on direct measurements of the respective variables [5, 6, 8–12, 15, 16]. Hence, these approaches require to measure all endogenous quantities that are constrained in the OPF problem.…”

Section: Introductionmentioning

confidence: 99%

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Distributed utility‐based real‐time power flow optimization in ICT‐enabled low voltage distribution grids

Ipach

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Becker

et al. 2022

IET Generation Trans & Dist

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Low‐Voltage (LV) distribution grids are facing a rapid increase of connected Photovoltaic (PV) power plants as well as flexible consumers like Battery‐Electric Vehicle (BEV) chargers and Heat Pumps (HPs). The coordinated operation of these generation, storage and consumption units, referred to as Distributed Energy Resources (DERs), is regarded as a key requirement to maximize the benefits of renewable generation without violating, for example, voltage limits. Therefore, an operation management scheme was proposed in previous work that optimizes the power flows in LV grids in real‐time, where optimality is expressed as a maximization of the utility that DER owners experience from power consumption or injection, respectively. In this contribution, this method is extended by: (1) detailing a time‐varying utility‐model to express customer needs, (2) introducing a distributed implementation enhancing the robustness to failures, (3) developing a testbed using a real‐time digital power grid simulator and a communication network emulator, and (4) integrating a real‐time information flooding protocol. The performance is evaluated in different simulation scenarios, showing that the proposed method is able to cooperatively utilize the flexible units in order to fulfil the DER owners' needs even in the event of controller failures and constrained communication.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%