Optimum Location of Voltage Regulators in the Radial Distribution Systems

Salkuti, Surender Reddy; Lho, Young Hwan

doi:10.1515/energyo.0034.00437

Cited by 2 publications

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“…2) Bus voltage constraint: Lower and upper voltage limits of buses in the RDS are expressed as [25],…”

Section: ) Dg Power Constraintsmentioning

confidence: 99%

Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Salkuti¹

2021

IJACSA

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This paper proposes a methodology for an optimal operation of smart distribution network considering the network reconfiguration, distributed generation (DG) units allocation and optimally placing the shunt capacitors for reactive power compensation. In this work, the total power losses minimization objective is considered. By optimizing this objective, it can also results in the reduction of voltage deviation. The proposed problem is solved using evolutionary-based gravitational search algorithm (GSA). Simulation studies are performed on 33 bus radial distribution system (RDS). Simulation results reveal that there is a drastic reduction in the power losses by utilizing the network reconfiguration, DG allocation, and reactive power compensation.

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“…2) Bus voltage constraint: Lower and upper voltage limits of buses in the RDS are expressed as [25],…”

Section: ) Dg Power Constraintsmentioning

confidence: 99%

Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Salkuti¹

2021

IJACSA

Self Cite

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“…In Reference 35, the authors have presented the modified bat algorithm to allocate DSTATCOM and renewable DGs for cost reduction. The authors in Reference 36 presented an efficient method for optimal integration of the voltage regulators in the radial distribution systems. In Reference 37, the optimal power flow problem has been solved using PSO by considering the uncertainties of wind energy generators (WEGs) and solar photovoltaic (PV).…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of a hybrid photovoltaic‐basedDGandDSTATCOMunder the load and irradiance variability

Oda

Ebeed

Hamed

et al. 2021

Int Trans Electr Energ Syst

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Summary This paper addresses the allocation of a hybrid system that includes PV‐DG and DSTATCOM. The planning problem considers the variations of load demand and solar irradiance under deterministic and probabilistic conditions. An efficient optimization algorithm called MPA is implemented to assign the optimal placement and ratings of the hybrid PV‐DG and DSTATCOM. The considered objective function is a multi‐objective function that includes the annual cost reduction, improvement of voltage profiles, and system stability improvement. The assessment is accomplished with the inclusion of a single and two‐hybrid system on a large 94‐bus system. For validating the effectiveness of the MPA, the yielded results are compared with the PSO, which is considered a commonly used algorithm. In deterministic conditions, the hourly variations of the load demand and solar radiation are considered in four yearly seasons, while in probabilistic conditions, 3 years of hourly historical data of solar irradiance and load demand are utilized to describe the uncertainties of the load demand and solar irradiance. The simulation results demonstrate that the optimal inclusion of a single‐hybrid PV‐DG and DSTATCOM system can enhance the system's technical performance (the voltage profile, the voltage stability) and enhance the economic scheme (total annual cost reduction). In addition, the inclusion of two‐hybrid systems is superior compared with the inclusion of a single‐hybrid system in terms of the considered objective functions, as well as the proposed technique is more efficient for solving the allocation problem of the hybrid system.

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Optimum Location of Voltage Regulators in the Radial Distribution Systems

Cited by 2 publications

References 0 publications

Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Optimal allocation of a hybrid photovoltaic‐basedDGandDSTATCOMunder the load and irradiance variability

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