Decentralized voltage control of clustered active distribution network by means of energy storage systems

Bahramipanah, Maryam; Cherkaoui, Rachid; Paolone, Mario

doi:10.1016/j.epsr.2016.03.021

Cited by 48 publications

(38 citation statements)

References 24 publications

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“…Currently, the level of monitoring and measurement in DH is very low and instrumenting existing networks can be very costly. Nevertheless, future networks are expected to have a higher level of metering and monitoring, for this reason a different way of assessing the impact of technological and operational changes has been pursued in the form of Modeling and Simulation (M&S) [14][15][16][17]. With M&S it is possible to replicate existing DH systems and modify them virtually to evaluate the possible results without incurring in high costs.…”

Section: Introductionmentioning

confidence: 99%

Modified finite volumes method for the simulation of dynamic district heating networks

Schwarz

Mabrouk

Silva

et al. 2019

Energy

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District Heating (DH) networks are getting closer to the concept of "Smart Grids" to deal with the contribution of new technologies and paradigms like Renewable Energy Sources, Distributed Generation and Storage, and Low-Temperature District Heating. This requires good anticipation of the system's dynamics with the objective of improving control. This work proposes a model based on the Finite Volumes method for anticipating the dynamics in DH systems. Its application to branched network topologies gives the delay between the change in the settings at the generation points and the time they are perceived by the different substation in the network, which is a prerequisite for system design, operation planning and optimal control. The model is tested in a 6 Node branched network with the main topology elements being represented (junctions, splits, etc.); real demand data is used at the consumption nodes. A comparison between the model developed by the authors and the existing Finite Volumes method is also presented for the proposed topology. These results shed light on the needs and opportunities in DH, mainly for ICT implementation, energy storage location and management, and enhanced control in the smart energy networks context.

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Section: Introductionmentioning

confidence: 99%

Modified finite volumes method for the simulation of dynamic district heating networks

Schwarz

Mabrouk

Silva

et al. 2019

Energy

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“…Different voltage control schemes have been proposed in the literature in order to remove the voltage violations and to keep the system voltages within the predefined limits. The proposed voltage control algorithms (VCAs) can be classified into the centralised or distributed algorithm that employs the transformer tap changer [1][2][3][4], active and reactive powers control of DGUs [1][2][3][4][5][6][7][8][9], energy storage [10] and circuit breakers [1].…”

Section: Introductionmentioning

confidence: 99%

“…Despite the differences of the existing VCAs, they have been developed relying on similar assumptions that the loads are voltage independent [1,[3][4][5][6][7][8][9][10][11], exact load power factors (PFs) are available [1][2][3][4][5][6][7][8][9][10][11], system lines are equivalent to the series impedances [2,5,6,9,10] which have constant values over the time [1][2][3][4][5][6][7][8][9][10] and the substation transformer is a pure reactance [2,5,9] that can be even negligible [4,6]. In reality, however, these assumptions do not hold since the load powers are in function of the voltage, load PFs may be different from the ones considered in the load models, shunt admittances of the lines cannot be neglected, branch resistances vary with respect to the conductor temperatures and internal resistance of the substation transformer is needed to be taken into account.…”

Section: Introductionmentioning

confidence: 99%

“…In reality, however, these assumptions do not hold since the load powers are in function of the voltage, load PFs may be different from the ones considered in the load models, shunt admittances of the lines cannot be neglected, branch resistances vary with respect to the conductor temperatures and internal resistance of the substation transformer is needed to be taken into account. Therefore, the models based on which the VCAs in [1][2][3][4][5][6][7][8][9][10] were developed do not represent the real characteristics of the network components. Consequently, corrective decisions of the VCA obtained by relying on the simplified network model may be insufficient to solve a specific voltage violation problem of the real case.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of the model uncertainty on the voltage regulation problem of medium‐voltage distribution systems

Zad

Lobry

Vallée

2018

IET Generation, Transmission & Distribution

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In this paper, a novel framework is proposed in order to evaluate impacts of the uncertain models of the system components on the voltage regulation problem of the medium-voltage distribution systems. The investigation focuses on the model uncertainty associated with voltage dependency of loads, power factor of loads, thermal dependency of lines, shunt admittances of lines and internal resistance of substation transformer. To this end, firstly, voltage constraints are managed using a centralised voltage control algorithm (VCA) by relying on the simplified models of the system components. The system loads and lines as well as the substation transformer are then modelled with the uncertain variables which are bounded in the predefined ranges. Monte Carlo (MC) simulations are used to create wide series of scenarios that cover the possible values that the parameters of the system components can take due to their uncertain nature. The model uncertainty impacts on the voltage regulation problem are finally evaluated by the load flow calculations considering the scenarios created by the MC simulations and the set-point obtained by the VCA. The proposed investigation brings useful information regarding the possible deviations that the node voltages can have due to the uncertain models of the studied components.

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“…The same method has been used in [16] and validated using CVX software (version 2014, CVX Research, Inc., Stanford, CA, USA) (convex programming). Distributed Energy Storage Systems (DESSs) are used in [17] to control the voltage profiles of active distribution networks in a distributed way. The proposed methodology is based on network partitioning strategy.…”

Section: Introductionmentioning

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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Decentralized voltage control of clustered active distribution network by means of energy storage systems

Cited by 48 publications

References 24 publications

Modified finite volumes method for the simulation of dynamic district heating networks

Modified finite volumes method for the simulation of dynamic district heating networks

Impacts of the model uncertainty on the voltage regulation problem of medium‐voltage distribution systems

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

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