scholarly journals Impact of Storage Devices with Renewable Integrated Distribution Network for Power Loss Minimization

2021 ◽  
Vol 10 (3) ◽  
pp. 180-192
Author(s):  
Bharat Singh ◽  
Satyaveer Singh Rawat
Keyword(s):  
Energy Storage ◽  
Power Loss ◽  
Distribution Network ◽  
Test System ◽  
Storage Device ◽  
Energy Storage Device ◽  
Loss Minimization ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
The Impact

The intermittent behaviour of renewable energy generation has become an essential issue for power deficiency in the distribution network. The high penetration of wind and solar became the primary task for the optimal size of energy storage to support the power mismatch. In the present work, the impact of the energy storage device with distribution generation (DGs) have been determined in a renewable integrated distribution system for power loss minimization. The main contribution of this paper is: (i) optimal location of DGs and battery are obtained by solving single and multi-objective functions. (ii) Determination of DG and battery size for minimization of power loss and system cost. (iii) Impact of battery energy storage device on loss profile and total cost of the system. The impact of day load variation has been considered in the study. The results have been obtained for IEEE-33 bus test system using a hybrid GAMS and particle swarm optimization (PSO) algorithm. The power loss is reduced to 47.60% with single DG and battery energy storage (BES). In addition, the power loss is reduced to 59.285% with two DGs and BES. The simulation results of the test system have been compared with other existing results.

scholarly journals Optimal Placement of DG with Battery Energy Storage in Distribution Network for Power loss Minimization using Combined Dispatch & Combined PLS Strategy

2020 ◽  
Vol 9 (5) ◽  
pp. 1073-1081
Keyword(s):  
Energy Storage ◽  
Power Loss ◽  
Test System ◽  
Optimal Placement ◽  
Total Power ◽  
Computational Time ◽  
Optimal Size ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
The Impact

This paper presents a novel application of General Algebraic Modelling System (GAMS) and MATLAB interfacing for optimal location and placement of DG with battery. The main contribution of this paper is: (i) optimal placement of DG based on combined-Power Loss Sensitivity (PLS) method, (ii) optimal placement of battery energy storage using combined dispatch strategy, (iii) optimal size of DGs and Battery have been carried out in such a way to minimize the total power loss without violating the constraints using MINLP solver in GAMS . (iv) Two types of DGs have been considered for analysis and the impact of DG with and without battery placement on total power loss and voltage improvement. Voltage profile, real and reactive power flow pattern, total power loss, computational time, fuel cost, total installation cost, total cost, State of Charge (SOC) status of battery and power obtain by DG with the battery has been determined. The result shows the importance of DG with battery size and location. The results are obtained on IEEE-33bus radial distribution test system and compare with another existing method also.

scholarly journals Sizing and Evaluation of Battery Energy Storage Integrated with Photovoltaic Systems.

2019 ◽  
Vol 2 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Paulo A. V. Vieira ◽  
Felipe P. G. Silva ◽  
Bruna F. Pinheiro ◽  
Edson C. Bortoni
Keyword(s):  
Energy Storage ◽  
Distribution Network ◽  
Photovoltaic Systems ◽  
Solar Panels ◽  
Pv System ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
Storage Technologies ◽  
The Impact

This paper provides a review of the most common energy storage technologies and analysis of the impact of battery energy storage (BES) in a distribution network with penetration of photovoltaic. In order to reduce the intermittence impacts caused by solar panels (PV), is proposed the use an energy storage elements to stabilize the energy produced, dependent of the irradiation and temperature. Different storage technologies were considered as a function of the costs. A 100 kW PV system with integration of an energy storage was used for the simulated and analysis.

scholarly journals Optimal Siting and Sizing of Battery Energy Storage: Case Study Seventh Feeder at Nakhon Phanom Substation in Thailand

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1458
Author(s):  
Panyawoot Boonluk ◽  
Sirote Khunkitti ◽  
Pradit Fuangfoo ◽  
Apirat Siritaratiwat
Keyword(s):  
Energy Storage ◽  
Power Loss ◽  
Distribution Network ◽  
Voltage Regulation ◽  
Voltage Profile ◽  
Peak Demand ◽  
Battery Energy Storage ◽  
Real Power ◽  
Comparison Results ◽  
Battery Energy

The optimal siting and sizing of battery energy storage system (BESS) is proposed in this study to improve the performance of the seventh feeder at Nakhon Phanom substation, which is a distribution network with the connected photovoltaic (PV) in Thailand. The considered objective function aims to improve the distribution network performance by minimizing costs incurred in the distribution network within a day, comprising of voltage regulation cost, real power loss cost, and peak demand cost. Particle swarm optimization (PSO) is applied to solve the optimization problem. It is found that the optimal siting and sizing of the BESS installation could improve the performance of the distribution network in terms of cost minimization, voltage profile, real power loss, and peak demand. The results are investigated from three cases where case 1 is without PV and BESS installation, case 2 is with only PV installation, and case 3 is with PV and BESS installations. The comparison results show that case 3 provided the best costs, voltage deviation, real power loss, and peak demand compared to those of cases 1 and 2; system costs provided by cases 1, 2 and 3 are USD 4598, USD 5418, and USD 1467, respectively.

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