Cost–benefit analysis of battery storage in medium‐voltage distribution networks

Mateo, Carlos; Reneses, Javier; Rodriguez-Calvo, Andrea; Frías, Pablo; Sánchez, Álvaro

doi:10.1049/iet-gtd.2015.0389

Cited by 47 publications

(25 citation statements)

References 30 publications

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“…A comprehensive survey of this subject is presented in [11]. A cost-benefit analysis of ESSs for peak demand reduction in medium voltage grids is proposed in [12]. A number of works employ heuristic methods to solve the targeted optimization problem with T single or multi-objective goals including voltage control, losses minimization, energy supply cost minimization, etc.…”

Section: Related Workmentioning

confidence: 99%

“…(e.g., [2], and [13]- [18]). In [15] it is presented a cost-benefit analysis of the use of ESSs for peak demand reduction in medium-voltage distribution networks. The objective function considers (i) savings in energy costs derived from storing energy at low-priced hours and selling it at peak hours and (ii) savings in network reinforcement thanks to the peak shaving.…”

Section: Related Workmentioning

confidence: 99%

“…The Master problem is formulated in (12). The constraints of the optimization problem are (i) geographical (i.e., the buses that cannot host ESS) and budget constraints for ESSs installation (ii) the radiality ones, and (iii) the constraints related to the seasonal network reconfiguration using DistFlow equations with inclusion of transverse parameters (see section III.C).…”

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confidence: 99%

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Optimal Planning of Distributed Energy Storage Systems in Active Distribution Networks Embedding Grid Reconfiguration

Nick

Cherkaoui

Paolone

2018

IEEE Trans. Power Syst.

155

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Abstract-In this paper we present a procedure for the optimal siting and sizing of Energy Storage Systems (ESSs) owned, and directly controlled by network operators of Active Distribution Networks (ADNs). The peculiarity of the proposed planning procedure consists in embedding the grid reconfiguration. We use a recently proposed conditionally exact convex Optimal Power Flow (OPF) as the core of the optimization model. We appropriately model the objective function to include both technical and economic aspects, while keeping the exactness of the relaxed convex OPF. In particular, the proposed procedure accounts for the minimization of: voltage-magnitude deviations, feeders'/lines' congestion, cost of supplying loads, and investment costs related to the ESSs. In addition, the seasonal configurations of the grid are determined based on (1) network security constraints, and (2) the minimum resistive losses. The stochasticity of loads and renewable productions also are taken into account. We suitably modeled the ESSs to consider their ability to support the network by both active and reactive powers. Two test cases are used to demonstrate, and quantify, the capabilities of the proposed procedure for providing optimal and feasible solutions. Sets and indicesIndex of lines and buses other than slack bus

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimal Planning of Distributed Energy Storage Systems in Active Distribution Networks Embedding Grid Reconfiguration

Nick

Cherkaoui

Paolone

2018

IEEE Trans. Power Syst.

155

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“…UE to the ongoing expansion of e-mobility and renewable-based systems, electrical storage systems are currently in the spotlight, of which batteries are the most commonly used thanks to their relatively high power density, efficiency and low cost. Battery applications in power systems include electric vehicles [1], [2], power dispatch control in photovoltaic plants and wind farms [3], [4], [5], stand-alone systems [6], [7], and microgrids [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Parameter-Independent Control for Battery Chargers Based on Virtual Impedance Emulation

Urtasun

Berrueta

Sanchis

et al. 2018

IEEE Trans. Power Electron.

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An effective battery voltage regulation is fundamental to extend battery lifetime and to avoid overvoltage. However, the design of this regulation is complicated due to the wide battery impedance range, which, when dealing with universal chargers, is dependent not only on the operating point but also on the battery type and size. This paper first shows how the voltage response becomes highly variable when designing the controller as described in the literature. Then, it proposes to emulate virtual impedance in parallel with the battery, making it possible to achieve a voltage control which is independent of battery characteristics. Experimental results are carried out for a new lithium-ion battery with 25 mΩ-impedance and an overused lead-acid battery with 400 mΩ-impedance. For this large impedance variation, the results evidence the problems of the conventional control and validate the superior performance of the proposed control. He has been involved in more than 70 research projects both with public funding and in co-operation with industry and is the co-inventor of 8 patents.He has also co-authored more than 120 papers and contributions in international journals and conferences, and supervised 9 PhD thesis. His research interests include renewable energies, power electronics, electric energy storage technologies, grid integration of renewable energies and electric microgrids. Luis Marroyo (M'04) received the M.Sc. degree in electrical engineering in 1993 from the University of Tolouse, France, and the Ph.D. degree in electrical engineering in 1997 from the UPNA, Spain, and in 1999 from the LEEI-ENSEEIHT INP Toulouse, France.From 1993 to 1998, he was Assistant Professor at the Department of Electrical and Electronic Engineering of the UPNA, where he currently works as Associate Professor, since 1998. He is the head of the INGEPER research group. He has been involved in more than 60 research projects mainly, in co-operation with industry, he is the co-inventor of 15 international patents and co-authored of more than 100 papers in international journals and conferences. His research interests include power electronics, grid quality and renewable energy.

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“…In addition to the cost benefit of battery storage in the distribution networks [35], reinforcing an SEIG by ESS reduces the running cost by improving the reliability during islanded operating mode. This work provides an important contribution to the operation of distribution networks under increasing penetration of Small-Scale Wind Generation and ensuring compliance with the G59 regulations, as stipulated by the UK grid code [36].…”

Section: Introductionmentioning

confidence: 99%

Power Management of Islanded Self-Excited Induction Generator Reinforced by Energy Storage Systems

Nasser

Farrag

2018

Energies

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Self-Excited Induction Generators (SEIGs), e.g., Small-Scale Embedded wind generation, are increasingly used in electricity distribution networks. The operational stability of stand-alone SEIG is constrained by the local load conditions: stability can be achieved by maintaining the load's active and reactive power at optimal values. Changes in power demand are dependent on customers' requirements, and any deviation from the pre-calculated optimum setting will affect a machine's operating voltage and frequency. This paper presents an investigation of the operation of the SEIG in islanding mode of operation under different load conditions, with the aid of batteries as an energy storage source. In this research a current-controlled voltage-source converter is proposed to regulate the power exchange between a direct current (DC) energy storage source and an alternating current (AC) grid, the converter's controller is driven by any variation between machine capability and load demand. In order to prolong the system stability when the battery reaches its operation constraints, it is recommended that an ancillary generator and a dummy local load be embedded in the system. The results show the robustness and operability of the proposed system in the islanding mode of the SEIG under different load conditions.

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Cost–benefit analysis of battery storage in medium‐voltage distribution networks

Cited by 47 publications

References 30 publications

Optimal Planning of Distributed Energy Storage Systems in Active Distribution Networks Embedding Grid Reconfiguration

Optimal Planning of Distributed Energy Storage Systems in Active Distribution Networks Embedding Grid Reconfiguration

Parameter-Independent Control for Battery Chargers Based on Virtual Impedance Emulation

Power Management of Islanded Self-Excited Induction Generator Reinforced by Energy Storage Systems

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