Comparative analysis of various compensating devices in energy trading radial distribution system for voltage regulation and loss mitigation using Blockchain technology and Bat Algorithm

Yuvaraj, T.; Devabalaji, K.R.; Srinivasan, Suresh; Prabaharan, Natarajan; Hariharan, R.; Alhelou, Hassan Haes; Ashokkumar, B.

doi:10.1016/j.egyr.2021.08.184

Cited by 57 publications

(8 citation statements)

References 22 publications

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“…The basic active and reactive power of the loads is reported in the literature (Yuvaraj et al, 2021). However, the load profile is not reported for different time intervals of a day.…”

Section: Case Studymentioning

confidence: 99%

Over-Voltage Regulation of Distribution Networks by Coordinated Operation of PV Inverters and Demand Side Management Program

et al. 2022

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The increase of Photovoltaics (PV) units’ penetration factor in the power grids might create overvoltage over the network buses. The active power curtailment (APC) and the reactive power provision methods use inverters to regulate their output active and reactive powers for high PV-penetrated grids. However, the mentioned solutions would reduce the maximum injectable active solar power to the grid, not financially acceptable. Continuous employment of the maximum apparent power capacity of the inverters will practically decrease the inverters’ lifetime, require special design considerations, and make the control system complex. To overcome those issues, a feasible solution would be increasing the load consumption within the time intervals in which the grid faces the over-voltage problem. In this research, the demand response (DR) program is employed. Load shifting techniques are exerted to move a portion of loads from the peak hours to when further power consumption is expected for voltage level reduction purposes. A new long-term strategy based on the coordinated operation of the PV inverters and load shifting techniques is proposed to resolve the over-voltage issue in the network. Consequently, the PV inverter’s contribution to voltage control is reduced; a new sight of DR potential is implemented, and also the under-voltage level in peak times is decreased significantly.

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“…The basic active and reactive power of the loads is reported in the literature (Yuvaraj et al, 2021). However, the load profile is not reported for different time intervals of a day.…”

Section: Case Studymentioning

confidence: 99%

Over-Voltage Regulation of Distribution Networks by Coordinated Operation of PV Inverters and Demand Side Management Program

et al. 2022

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“…Several studies in the literature have attempted to solve the DSTATCOM allocation problem in distribution systems using various objective functions and optimization approaches [8]. Nevertheless, there needs to be more literature on EVCS allocation since research on EVCS is still in its early stages.…”

Section: Related Workmentioning

confidence: 99%

Integration of Electric Vehicle Charging Stations and DSTATCOM in Practical Indian Distribution Systems Using Bald Eagle Search Algorithm

et al. 2023

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Because of the increasing growth of Electric Vehicle (EV) in India, more electricity is required to power such vehicles. It is also gaining popularity because of its low maintenance, improved performance, and zero carbon impact. As the usage of electric vehicles grows, the distribution system's performance is impacted. As an outcome, the reliability of the distribution system (DS) is dependent on the position of the electric vehicle charging station (EVCS). The fundamental difficulty is the deterioration of the DS due to an incorrect EVCS location. The DS is linked to the charging station and works with the distribution static compensator (DSTATCOM) to minimize the impact of the EVCS. A new nature-inspired Bald Eagle Search Algorithm (BESA) based optimization technique was utilized to find the optimal allocation of DSTATCOM and EVCS in the DS. The proposed strategy for mitigating the real power loss has been tested on practical Indian 28-bus and 108-bus distribution networks. Power loss reduction optimizes the system's net savings, voltage stability, and bus voltage. The test case findings show that the BESA-based optimization is more accurate regarding power loss mitigation, bus voltage enhancement, and annual net saving improvement than the BA-based optimization in the DS. INDEX TERMS Electrical vehicle (EV), bald eagle search algorithm (BESA), bat algorithm (BA), distribution STATicCOMpensator (DSTATCOM), voltage stability index (VSI), distribution system (DS), electric vehicle charging station (EVCS). I. INTRODUCTIONLong-term development and poverty eradication depend heavily on energy. In India, 97.2% of the population has access to electricity. Natural gas and coal are the most frequent fuels utilized in the power sector. India has a total capacity for electricity generation of 388.134GW, with offgrid renewable energy (RE) accounting for 21.26% of that capacity. The lack of coal and natural gas might threaten the production of power. To address the nation's expandingThe associate editor coordinating the review of this manuscript and approving it for publication was Junho Hong .

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“…Inequality Constraints 1. Node voltage limit Equation (20) refers to the magnitude of node voltages that must be between the V min = 0.95 p.u. and V max =1.05 p.u.…”

Section: Pvdg J Demandmentioning

confidence: 99%

“…Allocation of DSTATCOM devices optimally provides greater stability, and power quality, minimizing total power loss and maximizing loading capability [18,19]. It observed that the allocation of DG will bring down network total power loss more than the allocation of Capacitors or DSTATCOM devices [20]. The author investigated the impact of several load models on distributed STATCOM device allotment in a radial power distributed scheme [21].…”

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confidence: 99%

Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer

R S

2023

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This research emphasizes a meta-heuristic Modified Ant Lion Optimizer (MALO) optimization approach for simultaneous utilization of DSTATCOM devices and distributed Photovoltaic (PV) sources with network reconfiguration in a radial power distribution scheme. In a radial power distribution network with network reconfiguration majority of the research is based on Constant Power model analysis. However, it is noticed that load models have a substantial impact on the distributed PV sources and the D-STATCOM device's optimal size and position. The effect of the Constant Power (CP) and Polynomial (ZIP) with load growth load models for the simultaneous insertion of distributed PV sources and DSTATCOM devices with network reconfiguration examined in this research work for power system planning. The penetration levels of distributed PV sources considered for the investigation are 25%, 50%, 75%, and 100%. The principal objective of this research is to reduce network total power losses, enhance the voltage magnitude profile at all buses, and reduce the overall operating cost while adhering to equality and inequality constraints. The proposed algorithm verified on 118-node test systems. The investigation is carried out for planning network upgradation to a High Voltage Distribution System(HVDS) on 317 nodes in the rural Bangalore Electricity Supply Company Limited(BESCOM) radial distribution scheme. Simulated results obtained by this method are validated with the BAT algorithm and available techniques in the literature.

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Comparative analysis of various compensating devices in energy trading radial distribution system for voltage regulation and loss mitigation using Blockchain technology and Bat Algorithm

Cited by 57 publications

References 22 publications

Over-Voltage Regulation of Distribution Networks by Coordinated Operation of PV Inverters and Demand Side Management Program

Over-Voltage Regulation of Distribution Networks by Coordinated Operation of PV Inverters and Demand Side Management Program

Integration of Electric Vehicle Charging Stations and DSTATCOM in Practical Indian Distribution Systems Using Bald Eagle Search Algorithm

Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer

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