Performance Assessment of Linearized OPF-based Distributed Real-time Predictive Control

Gupta, Rahul; Sossan, Fabrizio; Paolone, Mario

doi:10.1109/ptc.2019.8810532

Cited by 11 publications

(18 citation statements)

References 13 publications

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“…where A and b are the linear mapping parameters obtained using the method in [60]. They are iteratively updated with newly sized battery and PV injections.…”

Section: Grid Modelmentioning

confidence: 99%

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

2021

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Distributed photovoltaic (PV) generation is typically connected to power distribution grids, which are not designed to host a large amount of production if it is significantly larger than their nominal electricity demand. Given the prominent role of PV in energy transition pathways, modeling the existing power distribution infrastructure's constraints and limitations is key for its reliable techno-economical analysis and expansion. As countrywide models of the distribution grids are, in general, not available, this paper first tackles the problem of estimating medium voltage (MV) distribution grids starting from publicly available datasets. It then proposes a method to estimate the PV generation hosting capacity of such grids and extend it through energy storage systems. As a final contribution and ultimate objective, this paper proposes a method to derive cost-optimal plans for countrywide deployment of PV generation and energy storage systems considering the MV power distribution infrastructure's technical limitations. The distributed PV generation potential is modeled with high-spatially resolved capacity factors. Results are discussed using Switzerland as a case study.

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“…where A and b are the linear mapping parameters obtained using the method in [60]. They are iteratively updated with newly sized battery and PV injections.…”

Section: Grid Modelmentioning

confidence: 99%

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

2021

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“…Load flow equations are nonlinear and their inclusion in optimization problems determines nonconvex formulations. To increase tractability, we linearize (2) and (3) using the method proposed in [10] based on sensitivity coefficients, whose performance has been investigated in [12], and as done in [13].…”

Section: B Power Grid Modelmentioning

confidence: 99%

Smart Charging, Vehicle-to-Grid, and Reactive Power Support from Electric Vehicles in Distribution Grids: A Performance Comparison

Mukherjee

Kariniotakis

Sossan

2021

2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

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This paper compares different charging strategies for electric vehicles (EVs) and mechanisms to support local distribution grids. First, a general scheduling problem for EVs based on convex optimization and linearized power grid models is presented. Then, it is shown how it can be adapted to model different charging strategies. These include: i) uncoordinated charging, where EVs maximize a local utility function regardless of grid constraints; ii) smart charging, where a charge schedule of all EVs is determined by maximizing their utility function subject to grid constraints; iii) vehicle-to-grid, where bidirectional power from the EVs is allowed; and iv) reactive power support, where 2-and 4-quadrant EV chargers can provide reactive power. The performance of these strategies are investigated considering the CIGRE benchmark system for medium-voltage distribution grids. It shows that, in the proposed scenario, smart charging with reactive power support is conducive to the shortest global recharging time.

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“…As known, OPF problems are non-convex due to the nature of the power-flow equations. Thus, to make it tractable and efficiently solvable, we linearize the power flow equations to express the security constraints (see section II-A2) [11]. To deal with the stochasticity of non-EV injections, we use scenario-based optimization.…”

Section: A Grid Sub-problemmentioning

confidence: 99%

Grid-aware distributed control of electric vehicle charging stations in active distribution grids

Fahmy

Gupta

Paolone

2020

Electric Power Systems Research

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The penetration of electric vehicle (EV) charging stations (CSs), along with the progressive connection of stochastic distributed generation, is increasing the probability of violating the power distribution grid operational constraints and deteriorate the quality of power supply. To this end, the paper proposes a real-time control scheme for allocating power set-points to EV CSs while accounting for the grid operational requirements. In the proposed problem formulation the grid and the power injections are modelled accounting for their unbalanced 3-phase nature, thus enabling to formulate the problem objective and its constraints adopting the sequence decomposition. The EVs' users need, along with the stochastic nature of other uncontrollable injections (e.g. loads and generation from photovoltaic generation units), are also taken into account. A distributed control scheme, with a minute-scale control horizon, is proposed where local controllers, operating at EV aggregation level, compute EV batterysecure power set-points. These controllers send their set-points to a central controller operating at the grid aggregation level. The central controller solves a scenario-based linearised optimal power flow accounting for grid operational and power quality constraints. Then, it sends back its solution to the respective local controllers. The obtained iterative algorithm is efficiently solved until convergence. We analyse the performance of the proposed control scheme via a set of simulation ran on the IEEE-34 feeder. Comparisons with two other control algorithms, a grid-unaware local controller and a myopic maximum power controller, are included to benchmark the proposed control scheme.

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Performance Assessment of Linearized OPF-based Distributed Real-time Predictive Control

Cited by 11 publications

References 13 publications

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

Smart Charging, Vehicle-to-Grid, and Reactive Power Support from Electric Vehicles in Distribution Grids: A Performance Comparison

Grid-aware distributed control of electric vehicle charging stations in active distribution grids

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