TLBO‐based approach to optimally place and sizing of energy storage system for reliability enhancement of radial distribution system

With the significant increase in the insertion of wind turbines in the electrical system, the overall inertia of the system is reduced resulting in a loss of its ability to support frequency. This is because it is common to use variable speed wind turbines, based on the Double Fed Induction Generator (DFIG), which are coupled to the power grid through electronic converters, which do not have the same characteristics as synchronous generators. Thus, this paper proposes the use of the DFIG-associated Battery Energy Storage System (BESS) to support the primary frequency. A control strategy was developed, and important factors such as charging and discharging current limitations and operation within battery limits were considered. Time domain simulations have been proposed to study a distribution system containing a wind turbine, showing the advantages of BESS over frequency disturbances.

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Economic Analysis of Rural Distribution System with DER and Energy Storage System

Algorithms for Intelligent Systems - Proceedings of International Conference on Computational Intelligence and Emerging Power System ◽

10.1007/978-981-16-4103-9_20 ◽

2021 ◽

pp. 235-244

Author(s):

Prashant Kumar ◽

Vinod Kumar

Keyword(s):

Energy Storage ◽

Economic Analysis ◽

Distribution System ◽

Storage System ◽

Energy Storage System

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A Study on the Power Line Operation Strategy by the Energy Storage System to Ensure Hosting Capacity of Distribution Feeder with Electrical Vehicle Charging Infrastructure

Energies ◽

10.3390/en14216976 ◽

2021 ◽

Vol 14 (21) ◽

pp. 6976

Author(s):

Byungki Kim ◽

Jae-Bum Park ◽

Dae-Jin Kim

Keyword(s):

Energy Storage ◽

Distribution System ◽

Storage System ◽

Energy Storage System ◽

Power Line ◽

Operation Method ◽

Electrical Vehicle ◽

Distribution Feeder ◽

Vehicle Charging ◽

Compensation Rate

The introduction of a complex electrical vehicle charging (EVC) infrastructure consisting of an electrical vehicle (EV) charger and renewable energy source (RES) in the distribution system has been required as an important countermeasure for global environmental issues. However, the problems for hosting capacity and power stability of the distribution feeder can be caused by the penetration of lager scaled RES and EVC infrastructure. Further, it is required for the efficient operation method to prevent congestion and to ensure hosting capacity for the distribution feeder due to the increase of variable RES and EVC infrastructure in the distribution systems. In order to solve these problems, it is necessary to develop a technology which is capable of stably introducing an EVC infrastructure without reinforcing the existing distribution system. Therefore, to maintain the existing hosting capacity of distribution feeder and allowable limits, this paper presents a virtual power line (VPL) operation method using Energy Storage System (ESS) based on the power and voltage stabilization control to ensure hosting capacity of the EVS infrastructure. The proposed operation method is determined by optimal power compensation rate (PCR) and voltage compensation rate (VCR). Specifically, ESS for VPL is controlled according to the charging and discharging mode is operated according to the comparison value of the PCR and VCR. From the test results, it is verified that hosting capacity of the distribution system can be maintained using the proposed control method of ESS for VPL operation.

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Optimal Incorporation of Photovoltaic Energy and Battery Energy Storage Systems in Distribution Networks Considering Uncertainties of Demand and Generation

Applied Sciences ◽

10.3390/app11178231 ◽

2021 ◽

Vol 11 (17) ◽

pp. 8231

Author(s):

Hussein Abdel-Mawgoud ◽

Salah Kamel ◽

Marcos Tostado-Véliz ◽

Ehab E. Elattar ◽

Mahmoud M. Hussein

Keyword(s):

Energy Storage ◽

Optimization Algorithm ◽

Distribution System ◽

Storage System ◽

Global Solutions ◽

Distribution Networks ◽

Energy Storage System ◽

Buoyant Force ◽

Battery Energy Storage ◽

Battery Energy

In this paper, the Archimedes optimization algorithm (AOA) is applied as a recent metaheuristic optimization algorithm to reduce energy losses and capture the size of incorporating a battery energy storage system (BESS) and photovoltaics (PV) within a distribution system. AOA is designed with revelation from Archimedes’ principle, an impressive physics law. AOA mimics the attitude of buoyant force applied upward on an object, partially or entirely dipped in liquid, which is relative to the weight of the dislodged liquid. Furthermore, the developed algorithm is evolved for sizing several PVs and BESSs considering the changing demand over time and the probability generation. The studied IEEE 69-bus distribution network system has different types of the load, such as residential, industrial, and commercial loads. The simulation results indicate the robustness of the proposed algorithm for computing the best size of multiple PVs and BESSs with a significant reduction in the power system losses. Additionally, the AOA algorithm has an efficient balancing between the exploration and exploitation phases to avoid the local solutions and go to the best global solutions, compared with other studied algorithms.

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Implementation of Optimal Scheduling Algorithm for Multi-Functional Battery Energy Storage System

Energies ◽

10.3390/en12071339 ◽

2019 ◽

Vol 12 (7) ◽

pp. 1339 ◽

Cited By ~ 2

Author(s):

Hee-Jun Cha ◽

Sung-Eun Lee ◽

Dongjun Won

Keyword(s):

Energy Storage ◽

Electricity Market ◽

Distribution System ◽

Wind Farm ◽

Storage System ◽

Energy Storage System ◽

Optimal Scheduling ◽

Battery Energy Storage System ◽

Battery Energy Storage ◽

Battery Energy

Energy storage system (ESS) can play a positive role in the power system due to its ability to store, charge and discharge energy. Additionally, it can be installed in various capacities, so it can be used in the transmission and distribution system and even at home. In this paper, the proposed algorithm for economic optimal scheduling of ESS linked to transmission systems in the Korean electricity market is proposed and incorporated into the BESS (battery energy storage system) demonstration test center. The proposed algorithm considers the energy arbitrage operation through SMP (system marginal price) and operation considering the REC (renewable energy certification) weight of the connected wind farm and frequency regulation service. In addition, the proposed algorithm was developed so that the SOC (state-of-charge) of the ESS could be separated into two virtual SOCs to participate in different markets and generate revenue. The proposed algorithm was simulated and verified through Matlab and loaded into the demonstration system using the Matlab “Runtime” function.

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Bi-objective Mixed Optimal Planning for Distributed Energy Storage System of Active Distribution System

2018 8th International Conference on Power and Energy Systems (ICPES) ◽

10.1109/icpesys.2018.8626898 ◽

2018 ◽

Author(s):

Weiwei Chen ◽

Yougen Chen ◽

Junbo Yin ◽

Zhiyong Li

Keyword(s):

Energy Storage ◽

Distribution System ◽

Storage System ◽

Energy Storage System ◽

Optimal Planning ◽

Distributed Energy ◽

Distributed Energy Storage ◽

Active Distribution System

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Optimal Siting and Sizing of Battery Energy Storage Systems for Distribution Network of Distribution System Operators

Batteries ◽

10.3390/batteries6040056 ◽

2020 ◽

Vol 6 (4) ◽

pp. 56

Author(s):

Panyawoot Boonluk ◽

Apirat Siritaratiwat ◽

Pradit Fuangfoo ◽

Sirote Khunkitti

Keyword(s):

Energy Storage ◽

Distribution System ◽

Renewable Energy Sources ◽

Storage System ◽

Distribution Network ◽

Energy Storage System ◽

Power Losses ◽

Battery Energy Storage ◽

Battery Energy Storage Systems ◽

Battery Energy

In this work, optimal siting and sizing of a battery energy storage system (BESS) in a distribution network with renewable energy sources (RESs) of distribution network operators (DNO) are presented to reduce the effect of RES fluctuations for power generation reliability and quality. The optimal siting and sizing of the BESS are found by minimizing the costs caused by the voltage deviations, power losses, and peak demands in the distribution network for improving the performance of the distribution network. The simulation results of the BESS installation were evaluated in the IEEE 33-bus distribution network. Genetic algorithm (GA) and particle swarm optimization (PSO) were adopted to solve this optimization problem, and the results obtained from these two algorithms were compared. After the BESS installation in the distribution network, the voltage deviations, power losses, and peak demands were reduced when compared to those of the case without BESS installation.

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