Combined Local and Centralized Voltage Control in Active Distribution Networks

Bidgoli, Hamid Soleimani; Cutsem, Thierry Van

doi:10.1109/tpwrs.2017.2716407

Cited by 146 publications

(50 citation statements)

References 21 publications

(46 reference statements)

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“…In [20], a two-level voltage control by electrical springs is proposed, which contains both optimized dispatch and distributed operation. In [21], a voltage regulation scheme combined local and centralized control is proposed. In [22], the decentralized and distributed voltage control scheme is proposed.…”

Section: Introductionmentioning

confidence: 99%

Inverter-Based Voltage Control of Distribution Networks: A Three-Level Coordinated Method and Power Hardware-in-the-Loop Validation

Wang

Syed

Guillo-Sansano

et al. 2020

IEEE Trans. Sustain. Energy

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 Abstract-The reactive power of the photovoltaic (PV) inverters has great potential for voltage regulation of distribution networks. In this paper, a new three-level coordinated control method for PV inverters is proposed to address network voltage fluctuation and violation issues. In Level I, a ramp-rate control is designed to smooth the network voltage fluctuations, while in Level II, a droop control is designed to alleviate the network voltage deviations. If the local compensation provided by Level I and II is not enough to regulate the network voltages within the required limits, the Level III control based on dynamic average consensus can respond and share the reactive power requirement among other inverters in a distributed way. The proposed control method can smooth the voltage profiles, restrain the voltage rise/drop problem, and coordinate all PV inverters in real-time when there is no feasible local solution. The stability analysis of the proposed three-level coordinated control for network voltage regulation is provided. The power hardware-in-the-loop (PHIL) experiment has been conducted for validating the proposed control method under various scenarios. Index Terms-Voltage regulation, PV inverters, distributed control, power hardware-in-the-loop, distribution networks. T P P Q Q J J J J VV     S J J J J J J . It should be noted that although VQ S and VP S are functions of t, the variations of them respect to t are relatively small for a wide range of operating conditions [13], [23]. Equation (2) gives a linearized representation of ΔQ and ΔV near the equilibrium point, which is used to investigate the stability analysis in Section IV. In distribution networks, bus voltages are affected by both real and reactive power changes due to the high resistance to reactance ratio (R/X). For simplicity, the PV systems and load demand are aggregated at each bus. The PV inverters are operated to provide the maximum power output.

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Section: Introductionmentioning

confidence: 99%

Inverter-Based Voltage Control of Distribution Networks: A Three-Level Coordinated Method and Power Hardware-in-the-Loop Validation

Wang

Syed

Guillo-Sansano

et al. 2020

IEEE Trans. Sustain. Energy

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“…More specifically, the size of sensitivity matrix l is N x T and can be analytically calculated following the analysis presented in [23]. Additionally, the size of sensitivity matrix s is N x N x T and is calculated for each time instant t by inverting the power flow Jacobian matrix [8]. Afterward, the linearized bi-objective OVR problem is solved multiple times for different combinations of the weight coefficients.…”

Section: First Stagementioning

confidence: 99%

“…An additional operation constraint is introduced in [7] to limit the daily number of the tap changes. Furthermore, an offline coordination of the Q(V ) droop characteristics is proposed in [8] to minimize the overall reactive power of the DG units. Nevertheless, the above-mentioned methods attempt to solve a single-objective optimization problem, focusing on the coordinated operation of the DG units and neglecting possible interactions with other network devices, such as the OLTC [9].…”

mentioning

confidence: 99%

A Two-Stage Solution to the Bi-Objective Optimal Voltage Regulation Problem

Kryonidis

Demoulias

Papagiannis

2020

IEEE Trans. Sustain. Energy

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In this work, a two-stage approach is introduced to efficiently solve the optimal voltage regulation problem in radial medium-voltage (MV) distribution networks. The proposed method uses the available reactive power of distributed generation units and the on-load tap changer (OLTC) of the high-/medium-voltage transformer to regulate network voltages, while also minimizing two conflicting objectives, namely the network energy losses and the frequency of tap changes. This bi-objective optimal voltage regulation problem is addressed in two distinct stages. In the first stage, the network is linearized and a simplified optimal voltage regulation problem is solved to determine the candidate OLTC operating plans (COOPs). For each COOP, a new reactive power allocation method is employed in the second stage to regulate the network voltages and minimize network losses. This method follows a rule-based approach, allowing also its implementation under real-field conditions. The final outcome of this two-stage process is the Pareto-front which can be used by the distribution system operators to select the most preferable solution for the real-time network operation. The proposed methodology is characterized by reduced computational complexity compared to the application of conventional optimization techniques. Time-domain and time-series simulations on a radial MV distribution network are employed to thoroughly evaluate the performance of the proposed method.

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“…The impact of the model predictive control of the ADN voltages to the transmission grid is discussed in [17]. A two-level real-time voltage correction scheme is proposed in [18]. The local level provides the fast response to a disturbance, and the central level coordinates the various distributed generation units relying on the concept of MPC.…”

Section: Introductionmentioning

confidence: 99%

“…The length of the prediction horizon should be equal to the length of the control horizon unless the controller is requested to consider changes happening beyond the control horizon [16]. References [3,4,[6][7][8][9][10][11][12][13][14][15]18,19] apply constant horizon parameters, but how those parameters are determined is not discussed. The horizon parameters in [5] is chosen to be the time in which the predicted voltage drops by a predefined percentage at the initial control instant, and the horizon parameters are kept constant during the entire receding-horizon optimization process.…”

Section: Introductionmentioning

confidence: 99%

Power System Voltage Correction Scheme Based on Adaptive Horizon Model Predictive Control

Zhang¹,

Liu²,

Zhang

et al. 2018

Applied Sciences

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Model predictive control (MPC) is commonly used to compensate for modeling inaccuracies and measurement noise in voltage control problems. The length of the prediction horizon and control horizon of a MPC-based method has significant impact on the control performances. In existing relevant works, those horizon parameters are determined off-line based on experience or enumeration, and keeps constant during the entire receding-horizon optimization process. This paper presents a system voltage correction scheme based on adaptive horizon model predictive control (AH-MPC). The reactive power compensation and voltage regulation devices are coordinated to maintain the system voltages within a desired range. An evaluation index is proposed to determine the horizon parameters, which reflects the maximum voltage regulation ability with the current parameter configuration. Within each sampling interval, the horizon parameters are updated according to the evaluation index and real-time measurements periodically, which comprehensively considers the system uncertainties and voltage recovery speed, and the computational effort is remarkably reduced. The validation and effectiveness of the proposed method is verified by the simulation analysis on the test system.

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Combined Local and Centralized Voltage Control in Active Distribution Networks

Cited by 146 publications

References 21 publications

Inverter-Based Voltage Control of Distribution Networks: A Three-Level Coordinated Method and Power Hardware-in-the-Loop Validation

Inverter-Based Voltage Control of Distribution Networks: A Three-Level Coordinated Method and Power Hardware-in-the-Loop Validation

A Two-Stage Solution to the Bi-Objective Optimal Voltage Regulation Problem

Power System Voltage Correction Scheme Based on Adaptive Horizon Model Predictive Control

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