Impact of uncertainty sources on the voltage control of active distribution grids

Pau, Massimiliano; Din, Edoardo De; Ponci, Ferdinanda; Pegoraro, Paolo Attilio; Sulis, Sara

doi:10.1109/sest50973.2021.9543230

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…Having a closer look to the voltage constraints in ( 12) and ( 13), it is possible to notice that the proposed formulation provides an uncertainty-inclusive voltage control, in that the voltage limits are always adjusted considering the uncertainty of the voltage estimates. This ensures that the uncertainties are duly taken into account and that the voltage limits are always respected regardless of the possible errors present in the voltage estimates [30]. Moreover, a term related to the voltage deviation applied at the previous time step t − 1 is also included in the constraint.…”

Section: Uncertainty-inclusive Voltage Controlmentioning

confidence: 99%

A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

Pau,

Ginocchi,

Pacheco

et al. 2024

IEEE Trans. Instrum. Meas.

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Distribution system operators are progressively expanding the measurement infrastructure in their grids in order to enhance the real-time monitoring capabilities. Meter placement algorithms allow identifying the best type and location for new measurements, thus being a key tool in support of meter installation decisions and planning. Existing meter placement solutions aim at reducing the monitoring uncertainties below an arbitrary accuracy threshold, but typically they are not explicitly linked to some tangible benefits achievable by the grid operator via the measurement infrastructure upgrade. This paper aims at filling this gap by presenting an overall meter placement strategy that takes into account how the monitoring uncertainties translate into costs for avoiding contingencies and then drives the meter placement process according to the economic benefit resulting from the reduction of those uncertainties. An exemplary implementation is presented to describe the underlying concepts and the role and functionalities of the different software components involved in the meter placement cost-benefit analysis. Simulations performed on a sample grid show the application of the proposed meter placement strategy in a realistic scenario and highlight how this may be used to determine not only type and location of the new meters but also the number of measurements that makes sense to install according to cost-benefit criteria.

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Section: Uncertainty-inclusive Voltage Controlmentioning

confidence: 99%

A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

Pau,

Ginocchi,

Pacheco

et al. 2024

IEEE Trans. Instrum. Meas.

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“…where µ i ∈ R S is the vector of multipliers linked to the inequality constraints in (7) and obtained by the solution of the local problem (7), whereas neighboring variables λ ij ∈ R S , j ∈ P i are lagrangian multipliers associated with the node i and its set of neighbors P i . The updated values of λ ij are exchanged at each iteration of the algorithm among the neighbors, which are defined by the configuration of the graph.…”

Section: Relaxation and Successive Distributed Decompositionmentioning

confidence: 99%

“…Since the box constraints defined in ( 16) are independent from the other neighbors, their formulation are identical to the one previously defined. Based on (7), an additional constraint for the variable ρ tot,k [i] has to be defined as follows:…”

Section: ) Box Constraintsmentioning

confidence: 99%

“…Smart control techniques that coordinate the installed DGs to reach a system-level solution, do not represent at the moment the common approach followed by DSOs, however some new regulations are attempting to shift the focus to alternative, digitalized control techniques for distribution networks [6]. These solutions make use of the on-site communication network, monitoring system and controllable DGs to prevent overvoltage or undervoltage events by providing control set-points to the controllable assets, so as to reduce the need for grid reinforcements [7]- [9]. The control structures developed for the voltage control of distribution grids have been originally expressed in a centralized formulation, meaning that optimal control problem is solved entirely by a single controller [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

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Distributed Model Predictive Voltage Control for Distribution Grid Based on Relaxation and Successive Distributed Decomposition

et al. 2022

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Advanced control techniques for modern distribution grids are becoming fundamental for the reduction of grid reinforcements while maintaining network performances. In particular, as shown in literature, distributed algorithms for voltage control have gained much interests in comparison with the typical centralized formulation for its feasibility. Distributed model predictive control (MPC) is shown to optimally manage the Distributed Generators (DGs) over time and it can be implemented locally at the controllable sources. For this purpose, this paper adopts a distributed algorithm recently presented in the literature for solving a constraint-coupled optimization problem for model predictive voltage control. A detailed reformulation of the original MPC problem for the specific application is presented. Besides, this paper provides a calculation of the convergence limit for the value of the iteration step size of the algorithm, supported by numerical results. The proposed distributed solution of model predictive voltage control is compared with a centralized formulation via numerical simulation in terms of the percentage of error with the centralized solution and number of iteration for the convergence.INDEX TERMS Voltage control, distributed optimization, smart grids, networked control systems.

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Voltage control in low voltage grids with independent operation of on-load tap changer and distributed photovoltaic inverters

Spertino

Ciocia

Mazza

et al. 2022

Electric Power Systems Research

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Impact of uncertainty sources on the voltage control of active distribution grids

Cited by 4 publications

References 18 publications

A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

Distributed Model Predictive Voltage Control for Distribution Grid Based on Relaxation and Successive Distributed Decomposition

Voltage control in low voltage grids with independent operation of on-load tap changer and distributed photovoltaic inverters

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