A multi-temporal optimal power flow for managing storage and demand flexibility in LV networks

Costa, H. M.; Sumaili, Jean; Madureira, André; Gouveia, Clara

doi:10.1109/ptc.2017.7981166

Cited by 8 publications

(8 citation statements)

References 9 publications

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“…The analytical AC power flow equations over all periods of the horizon window can be derived by the resolution of Equation (21). The operator is used for element-wise matrix product.…”

Section: Gradients Of Nonlinear Constraints and Hessian Of Lagrangianmentioning

confidence: 99%

“…The current bus injection I inj appears in the power flow Equations (21). It would be useful for the power flow expressions derivation to present the corresponding for the current injections:…”

Section: Gradients Of Nonlinear Constraints and Hessian Of Lagrangianmentioning

confidence: 99%

“…Other research works have proposed advanced controlling more DER types such as EV and Controllable Loads (CL) for the mitigation of overvoltages or line congestions by [21][22][23][24][25][26]. A centralized control scheme for the voltage regulation and the mitigation of high unbalance instances is proposed [27], the efficiency of which is compared with typical local control droops.…”

Section: Introductionmentioning

confidence: 99%

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A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks

et al. 2019

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In recent years, the installation of residential Distributed Energy Resources (DER) that produce (mainly rooftop photovoltaics usually bundled with battery system) or consume (electric heat pumps, controllable loads, electric vehicles) electric power is continuously increasing in Low Voltage (LV) distribution networks. Several technical challenges may arise through the massive integration of DER, which have to be addressed by the distribution grid operator. However, DER can provide certain degree of flexibility to the operation of distribution grids, which is generally performed with temporal shifting of energy to be consumed or injected. This work advances a horizon optimization control framework which aims to efficiently schedule the LV network’s operation in day-ahead scale coordinating multiple DER. The main objectives of the proposed control is to ensure secure LV grid operation in the sense of admissible voltage bounds and rated loading conditions for the secondary transformer. The proposed methodology leans on a multi-period three-phase Optimal Power Flow (OPF) addressed as a nonlinear optimization problem. The resulting horizon control scheme is validated within an LV distribution network through multiple case scenarios with high microgeneration and electric vehicle integration providing admissible voltage limits and avoiding unnecessary active power curtailments.

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“…The analytical AC power flow equations over all periods of the horizon window can be derived by the resolution of Equation (21). The operator is used for element-wise matrix product.…”

Section: Gradients Of Nonlinear Constraints and Hessian Of Lagrangianmentioning

confidence: 99%

Section: Gradients Of Nonlinear Constraints and Hessian Of Lagrangianmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks

et al. 2019

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“…A typified approach to centralized control schemes is the use of optimization techniques. In Reference [12], the authors propose an Optimal Power Flow (OPF) algorithm to perform the voltage control of the LV network, recurring to energy storage devices and flexible loads. Similar approaches to the coordination of DER can also be found in References [13,14].…”

Section: Centralized Management Schemesmentioning

confidence: 99%

Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks

Simões

Madureira

2020

Applied Sciences

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In order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach proposed for a predictive voltage control algorithm to be used in Low Voltage (LV) distribution networks in order to make use of available flexibilities from domestic consumers via their Home Energy Management System (HEMS) and more traditional resources from the Distribution System Operator (DSO), such as transformers with On-Load Tap Changer (OLTC) and storage devices. The proposed algorithm—the Low Voltage Control (LVC)—is detailed in this paper. The algorithm was tested through simulation using a real Portuguese LV network and real consumption and generation data, in order to evaluate its performance in preparation for a field-trial validation in a Portuguese smart grids pilot.

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“…Many of the solutions available in the scientific literature involve some type of optimization algorithms that aim at optimizing the use of the available resources in the LV grid. For instance, in [3], the authors present an algorithm developed for the optimization of LV grids that takes advantage of DER such as storage devices and flexible loads based on a multi-temporal Optimal Power Flow (OPF) algorithm that feeds from forecasting tools for load and renewable generation. Other similar approaches to the coordination of different DER in smart microgrids can be found in [4][5].…”

Section: Introductionmentioning

confidence: 99%

Predictive Voltage Control for LV Distribution Grids exploiting Flexibility from Domestic Customers

Simões¹,

Costa²,

Madureira³

2018

Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018)

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In order to avoid voltage problems derived from the connection of large amounts of renewable-based energy generation to distribution networks, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach proposed for a predictive voltage control algorithm to be used in LV distribution networks in order to make use of available flexibilities from domestic consumers via their Home Energy Management System (HEMS) and more traditional Distribution System Operator's (DSO's) resources, such as transformers with On-Load Tap Changer (OLTC) and storage devices. The proposed algorithm for the Low Voltage Control (LVC) is detailed in this paper. The algorithm was then tested through simulation using a representative Portuguese Low Voltage (LV) network in order to assess its performance in several future scenarios with different operating conditions. The future prospects for field-trial validation in a Portuguese smart grids pilot are also discussed.

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A multi-temporal optimal power flow for managing storage and demand flexibility in LV networks

Cited by 8 publications

References 9 publications

A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks

A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks

Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks

Predictive Voltage Control for LV Distribution Grids exploiting Flexibility from Domestic Customers

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