Using Battery Energy Storage Systems for Load Balancing and Reactive Power Compensation in Distribution Grids

Gusev, Yu. P.; Subbotin, P. V.

doi:10.1109/icieam.2019.8742909

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…Valley-filling approach to meet charging demands and nodal voltage [18] Voltage unbalance RES and energy storage with optimal scheduling Optimal scheduling uing energy storage batteries [19] Voltage unbalance and reactive power…”

Section: Charging Controlmentioning

confidence: 99%

Electric Vehicles: From Charging Infrastructure to Impacts on Utility Grid

Ibrahim,

Gaber

2024

Advances in Transdisciplinary Engineering

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Electric vehicles (EVs) are penetrating rapidly into the transport sector, profoundly impacting the electricity and energy sectors. While EVs bring many benefits, they present challenges to utility grid operators, particularly during charging their batteries. Uncoordinated charging stands out as a critical charging strategy requiring attention to mitigate potential adverse effects on power grids. Smart charging and vehicle-to-grid (V2G) technologies enable intelligent and bidirectional power transfer between the EV and the grid taking into account network conditions and requirements. However, the widespread adoption of these technologies depends on the formulation of effective infrastructure and regulatory frameworks. This paper presents the effects of unmanaged charging of EVs on the utility grid power quality such as voltage violations, utility assets overloading and harmonic distortion. The paper also sheds light on some mitigation strategies incorporated in literature to reduce the adverse effects of EV integration.

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Section: Charging Controlmentioning

confidence: 99%

Electric Vehicles: From Charging Infrastructure to Impacts on Utility Grid

Ibrahim,

Gaber

2024

Advances in Transdisciplinary Engineering

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“…Table 7 presents the simulation results for each of the simulation cases 1, 3, and 4, considering that the objective of minimization is given by Equation (25), where the renewable generation is operated under nominal conditions. Note that C 2 is not analyzed since it is not typical that batteries are used only for reactive compensation due to its main purpose in electrical networks is to provide active compensation service [42]. The numerical results in Table 7 shows that, (1) comparing C 1 with C 4 , the greenhouse gas emissions of CO 2 are reduced about 8.49% and 8.69% regarding daily operative costs with the inclusion of the battery energy storage systems with apparent power compensation capabilities and, (2) if these results are compared with C 3 , then we observe that the reduction regarding the base case are about 5.55%, and 6.02%, which demonstrates the positive effects of including reactive power capabilities of batteries to improve the grid performance of the distribution networks in relation with greenhouse gas emissions and energy purchasing costs, since additional 2.94%, and 2.67% where reactive power is introduced, respectively.…”

Section: Numerical Performance Of the 69-node Test Feedermentioning

confidence: 99%

A Second-Order Cone Programming Reformulation of the Economic Dispatch Problem of BESS for Apparent Power Compensation in AC Distribution Networks

et al. 2020

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The problem associated with economic dispatch of battery energy storage systems (BESSs) in alternating current (AC) distribution networks is addressed in this paper through convex optimization. The exact nonlinear programming model that represents the economic dispatch problem is transformed into a second-order cone programming (SOCP) model, thereby guaranteeing the global optimal solution-finding due to the conic (i.e., convex) structure of the solution space. The proposed economic dispatch model of the BESS considers the possibility of injecting/absorbing active and reactive power, in turn, enabling the dynamical apparent power compensation in the distribution network. A basic control design based on passivity-based control theory is introduced in order to show the possibility of independently controlling both powers (i.e., active and reactive). The computational validation of the proposed SOCP model in a medium-voltage test feeder composed of 33 nodes demonstrates the efficiency of convex optimization for solving nonlinear programming models via conic approximations. All numerical validations have been carried out in the general algebraic modeling system.

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“…Uses of renewable power sources are comprehensively performed on-grid and off-grid. A framework is essentially a coordination of production, transmission and circulation which supplies power to purchasers [6]. On-grid and off-grid are the terms which portray the manner in which power is conveyed.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Evaluation of Sliding Mode Control with Washout Filter for Power Balancing in Battery Energy Storage Systems

Journal

2024

IJSREM

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This research paper presents a simulation-based evaluation of a novel sliding mode control (SMC) approach with a washout filter for power balancing in battery energy storage systems (BESS). Unlike traditional proportional-plus integral control methods, the proposed SMC technique is specifically tailored for charging and discharging BESS units. The primary objective of this study is to investigate the efficacy of the proposed SMC-based scheme in achieving optimal power balancing at the DC bus of the BESS. A comparative analysis is conducted to assess the performance of the developed SMC strategy against the conventional proportional-plus integral controller. MATLAB simulations utilizing Simulink and the Sim Power System toolbox are employed to obtain comprehensive results. The findings of this study provide valuable insights into the effectiveness of the SMC with washout filter for enhancing power balancing in BESS applications, thereby contributing to advancements in energy storage system control methodologies. Keywords: Sliding Mode Control (SMC), Washout Filter, Power Balancing, Battery Energy Storage Systems (BESS), Simulation-based Evaluation, MATLAB Simulation

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Using Battery Energy Storage Systems for Load Balancing and Reactive Power Compensation in Distribution Grids

Cited by 13 publications

References 7 publications

Electric Vehicles: From Charging Infrastructure to Impacts on Utility Grid

Electric Vehicles: From Charging Infrastructure to Impacts on Utility Grid

A Second-Order Cone Programming Reformulation of the Economic Dispatch Problem of BESS for Apparent Power Compensation in AC Distribution Networks

Simulation-Based Evaluation of Sliding Mode Control with Washout Filter for Power Balancing in Battery Energy Storage Systems

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