scholarly journals 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 ◽  
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.

scholarly journals Energy Storage System Integration with Wind Generation for Primary Frequency Support in the Distribution Grid

2020 ◽  
Author(s):  
Rodrigo Zambrana Vargas ◽  
José Calixto Lopes ◽  
Juan C. Colque ◽  
José L. Azcue ◽  
Thales Sousa
Keyword(s):  
Energy Storage ◽  
Wind Turbines ◽  
Distribution System ◽  
System Integration ◽  
Storage System ◽  
Energy Storage System ◽  
Distribution Grid ◽  
Synchronous Generators ◽  
Battery Energy ◽  
Primary Frequency

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.

scholarly journals A New Method to Optimize Semiactive Hybrid Energy Storage System for Hybrid Electrical Vehicle by Using PE Function

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Cong Zhang ◽  
Haitao Min ◽  
Yuanbin Yu ◽  
Qingnian Wang ◽  
Huanli Sun
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Super Capacitor ◽  
Power Sources ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Electrical Vehicle ◽  
Mass Volume

Although both battery and super-capacitor are important power sources for hybrid electric vehicles, there is no accurate configuration theory to match the above two kinds of power sources which have significantly different characteristics on energy and power storage for the goal of making good use of their individual features without size wasting. In this paper, a new performance is presented that is used for analysis and optimal design method of battery and super-capacitor for hybrid energy storage system of a parallel hybrid electrical vehicle. In order to achieve optimal design with less consumption, the power-energy function is applied to establish direct mathematical relationship between demand power and the performance. During matching process, firstly, three typical operating conditions are chosen as the basis of design; secondly, the energy and power capacity evaluation methods for the parameters of battery and super-capacitor in hybrid energy storage system are proposed; thirdly, the mass, volume, and cost of the system are optimized simultaneously by using power-energy function. As a result, there are significant advantages on mass, volume, and cost for the hybrid energy storage system with the matching method. Simulation results fit well with the results of analysis, which confirms that the optimized design can meet the demand of hybrid electric vehicle well.

Operation Method for Hybrid UPS with Energy Storage System Function

2019 ◽  
Vol 14 (5) ◽  
pp. 1871-1880
Author(s):  
Jin-Hong Oh ◽  
Jung-Hun Lee ◽  
Je-Chang Ryu ◽  
Hong-Won Lee ◽  
Hong-Moon Chae ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
System Function ◽  
Operation Method

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

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.

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

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1339 ◽  
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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