A Centralised Control Method for Tackling Unbalances in Active Distribution Grids

Karagiannopoulos, Stavros; Aristidou, Petros; Hug, Gabriela

doi:10.23919/pscc.2018.8442493

Cited by 24 publications

(40 citation statements)

References 23 publications

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“…The BESS capacity at node 2 is 484 kWh, and the maximum power 484 kW. In this work, we only consider balanced, single-phase system operation, but the framework can be extended to three-phase unbalanced networks as we explain in [24].…”

Section: Case Study -Resultsmentioning

confidence: 99%

“…Subsequently, if the derived solution is not AC feasible, we update the voltages by projecting the solution into the AC feasible manifold [23], and re-run the OPF problem. This reformulation provides a sufficiently accurate approximation of the full AC OPF [25], is computationally tractable [24], and results in AC feasible solutions which can account for uncertainties (see [23] for more details). A single iteration of the BFS is used to replace the AC power-flow constraints in the OPF formulation as follows:…”

Section: Centralized Deterministic Opfmentioning

confidence: 99%

“…where (V max , V min ) are respectively the upper and lower acceptable voltage limits. However, the lower voltage magnitude limit results in a non-convex constraint [24]. By exploiting the fact that the voltage angles are typically small in distribution grids, we can approximate the complex voltage with its real part for the lower bound, as explained in [24]:…”

Section: Centralized Deterministic Opfmentioning

confidence: 99%

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Active Distribution Grids Offering Ancillary Services in Islanded and Grid-Connected Mode

Karagiannopoulos

Gallmann²,

Vayá³

et al. 2020

IEEE Trans. Smart Grid

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Future active distribution grids (ADGs) will incorporate a plethora of Distributed Generators (DGs) and other Distributed Energy Resources (DERs), allowing them to provide ancillary services in grid-connected mode and, if necessary, operate in an islanded mode to increase reliability and resilience. In this paper, we investigate the ability of an ADG to provide frequency control (FC) in grid-connected mode and ensure reliable islanded operation for a pre-specified time period. First, we formulate the operation of the grid participating in Europeantype FC markets as a centralized multi-period optimal power flow problem with a rolling horizon of 24 hours. Then, we include constraints to the grid-connected operational problem to guarantee the ability to switch to islanded operation at every time instant. Finally, we explore the technical and economic feasibility of offering these services on a balanced low-voltage distribution network. The results show that the proposed scheme is able to offer and respond to different FC products, while ensuring that there is adequate energy capacity at every time step to satisfy critical load in the islanded mode.

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Section: Case Study -Resultsmentioning

confidence: 99%

Section: Centralized Deterministic Opfmentioning

confidence: 99%

Section: Centralized Deterministic Opfmentioning

confidence: 99%

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Active Distribution Grids Offering Ancillary Services in Islanded and Grid-Connected Mode

Karagiannopoulos

Gallmann²,

Vayá³

et al. 2020

IEEE Trans. Smart Grid

Self Cite

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show abstract

“…Following our previous work [26], a single iteration of the BFS power-flow method is used to replace the AC powerflow constraints in the OPF formulation. This is written as…”

Section: Centralized Chance-constrained Opfmentioning

confidence: 99%

“…This convex formulation provides a good approximation to the nonlinear AC OPF [2], is computationally tractable even in a three-phase model [26], and results in AC feasible solutions which can account for uncertainties, see [25] and Section II-B.…”

Section: Centralized Chance-constrained Opfmentioning

confidence: 99%

Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning Techniques

Karagiannopoulos

Aristidou

Hug

2019

IEEE Trans. Smart Grid

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128

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The optimal control of distribution networks often requires monitoring and communication infrastructure, either centralized or distributed. However, most of the current distribution systems lack this kind of infrastructure and rely on suboptimal, fit-and-forget, local controls to ensure the security of the network. In this paper, we propose a data-driven algorithm that uses historical data, advanced optimization techniques, and machine learning methods, to design local controls that emulate the optimal behavior without the use of any communication. We demonstrate the performance of the optimized local control on a three-phase, unbalanced, low-voltage, distribution network. The results show that our data-driven methodology clearly outperforms standard industry local control and successfully imitates an optimal-power-flow-based control.

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Optimal management of electrical power systems for losses reduction in the presence of active distribution networks

2021

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A Centralised Control Method for Tackling Unbalances in Active Distribution Grids

Cited by 24 publications

References 23 publications

Active Distribution Grids Offering Ancillary Services in Islanded and Grid-Connected Mode

Active Distribution Grids Offering Ancillary Services in Islanded and Grid-Connected Mode

Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning Techniques

Optimal management of electrical power systems for losses reduction in the presence of active distribution networks

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