Optimization control scheme utilizing small-scale distributed generators and OLTC distribution transformers

Efkarpidis, Nikolaos; Rybel, Tom De; Driesen, Johan

doi:10.1016/j.segan.2016.09.002

Cited by 24 publications

(18 citation statements)

References 49 publications

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“…According to Directive 2009/72/EC [19], the utilization of energy storage systems by grid operators is very limited at present; meanwhile, unbundling requirements for DSOs under EU directives do not allow energy storage units to be directly owned, or controlled by them. Concurrently, the growing number of BESS owned by residential consumers is likely to undermine the current business model of the electric utilities [20]. The following trend aims to maximize the revenue brought to the consumer in particular when home energy management systems are utilized to optimize the local generation and consumption.…”

Section: Introductionmentioning

confidence: 99%

“…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. An extension of the same authors provide a framework for the coordination of an On Load Tap Changer (OLTC), installed at the secondary substation, with BESS and controllable microgeneration [20].…”

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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…Regarding the reactive power cost c q i (cent/kVarh), it corresponds to the approximative compensation cost of the additional inverter losses due to the reactive power utilization and is provided by [26].…”

Section: E Inverter Modelmentioning

confidence: 99%

Robust Policy-Based Distributed Voltage Control Provided by PV-Battery Inverters

Almasalma

2020

IEEE Access

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Various approaches that combine local, centralized and distributed voltage control techniques have been proposed in literature. These techniques suffer from different problems. Local voltage control systems suffer from degraded voltage regulation; centralized voltage control systems have poor reliability and scalability; distributed voltage control systems are complex to implement. To solve these issues, this paper proposes a novel distributed voltage control system enabled by robust linear policies. The proposed voltage control consists of two phases. In the day-ahead phase, the voltage control problem is formulated as a chance-constrained stochastic optimization problem, where the control actions are expressed as linear function of the uncertain households' active power consumption and photovoltaic power. The paper applies robust optimization to construct a tractable approximation to the chance constraints. In the realtime phase, the photovoltaic-battery systems communicate with each other and apply the robust policies to regulate voltages within limits. Simulations over 36500 scenarios are used to demonstrate the robustness of the proposed voltage control system.

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“…In reality, reactive power provision can lead to some additional losses in the network. An approximate cost factor can include the additional losses in the inverter [28]. Incorporating the grid losses however would require a more complete network model.…”

Section: Dual-decomposition-based P2p Voltage Control Algorithmmentioning

confidence: 99%

Experimental Validation of Peer-to-Peer Distributed Voltage Control System

et al. 2018

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This paper presents experimental validation of a distributed optimization-based voltage control system. The dual-decomposition method is used in this paper to solve the voltage optimization problem in a fully distributed way. Device-to-device communication is implemented to enable peer-to-peer data exchange between agents of the proposed voltage control system. The paper presents the design, development and hardware setup of a laboratory-based testbed used to validate the performance of the proposed dual-decomposition-based peer-to-peer voltage control. The architecture of the setup consists of four layers: microgrid, control, communication, and monitoring. The key question motivating this research was whether distributed voltage control systems are a technically effective alternative to centralized ones. The results discussed in this paper show that distributed voltage control systems can indeed provide satisfactory regulation of the voltage profiles.

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Optimization control scheme utilizing small-scale distributed generators and OLTC distribution transformers

Cited by 24 publications

References 49 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

Robust Policy-Based Distributed Voltage Control Provided by PV-Battery Inverters

Experimental Validation of Peer-to-Peer Distributed Voltage Control System

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