Optimal location and sizing of DG and D-STATCOM in distribution networks

Salkuti, Surender Reddy

doi:10.11591/ijeecs.v16.i3.pp1107-1114

Cited by 19 publications

(19 citation statements)

References 34 publications

(29 reference statements)

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“…First part introduces the bus identification technique used in the entire formulation procedure while the second part discusses regarding the derivation of the developed loss allocation procedure. The entire formulation is carried out by utilizing optimal voltages as obtained through a forward-backward sweep (FBS) based power flow approach [26]. In irder to incorporate DGs into the evaluation procedure, the negative load modelling of generators as discussed in [27], [28] can be implemented to get the net power injections, and with these values the load flow can be carried out further to get desired solutions.…”

Section: Loss Allocation Methodsmentioning

confidence: 99%

Allocating active power loss with network reconfiguration in electrical power distribution systems

Hota

Mishra²,

Mishra

et al. 2021

IJPEDS

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This paper presents a branch exchange (BE) based heuristic network reconfiguration technique where, the proposed bus classification strategy remodels dynamically as per the modified topology in order to provide a reconfigured network with minimum loss. Further, for fair allocation of the active power losses, it develops a new active power loss allocation (APLA) technique which eradicates the influence of cross-term analytically from loss formulation without any assumptions and approximations. The effectiveness of the proposed procedure has been investigated against other established methods using a 69-bus radial distribution network (RDN). The results of APLA achieved for original and reconfigured 69-bus RDN are found to be promising and judicious as regard to their load demands and geographical locations. The implementation of present reconfiguration procedure provides a total loss reduction benefit of 55.73% to the utility which highlights the significance of the developed procedure against other established techniques.

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Section: Loss Allocation Methodsmentioning

confidence: 99%

Allocating active power loss with network reconfiguration in electrical power distribution systems

Hota

Mishra²,

Mishra

et al. 2021

IJPEDS

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“…The power balance equations 25–32 are used to describe equality constraints:

P_{G} + P_{DG} = P_{D} + P_{Loss}

Q_{G} + Q_{DSTATCOM} = Q_{D} + Q_{Loss}

…”

Section: Mathematical Problem Formulations Of Allocationmentioning

confidence: 99%

“…In 2019, applied Rooted Tree Optimization (RTO) algorithm with Hourly variation of DG power output‐based annual average of APL, system voltage improvement index, environmental benefit enhancement index, and net economic savings, 20 Grey Wolf Optimizer (GWO) algorithm for APL minimization with various load levels, 21 Chaotic Stochastic Fractal Search (CSFS) method to minimize the APL in distribution systems, 22 Improved Crow Search Algorithm (ICSA) to improve system voltage, reduce line losses, maximize economic benefit, and decrease pollutants' emission, 23 Modified Bat Algorithm (MBA) applied for mitigate power loss, bus voltage development stability betterment and operating cost minimization, 24 Multi‐Verse Optimizer (MVO) algorithm to minimize three technical‐economic system indices, which are apparent power loss, TVV, and annual losses cost, 25 Artificial Fish Swarm Optimization Algorithm (AFSOA) based to minimize the total APL in the EDS, 26 Ant Lion optimization (ALO) algorithm to minimize APL, RPL, and the new VSI, 27 Optimal coordination and management of OLTC, DSTATCOM, and DG to maximize annual cost savings using hybrid optimization algorithm, 28 and this paper reports a comprehensive review of the currently available methodologies on simultaneous DG and DSTATCOM allocation 29 …”

Section: Introductionmentioning

confidence: 99%

Simultaneous allocation of photovoltaic DG and DSTATCOM for techno‐economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

Zellagui

Lasmari

Settoul

et al. 2021

Int Trans Electr Energ Syst

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Summary Enhancing distribution system operation accomplished with the integration of renewable energy resources (RERs) has several technical, economical, and environmental dimensions. In this regard, this paper presents an optimal integration procedure of Distributed Generation (DG) based on Photovoltaic panel (PV) and Distribution Static Compensator (DSTATCOM) in Electrical Distribution System (EDS). The proposed procedure is formulated as a multi‐objective function (MOF). The considered objectives that reflect the technical, economic, and environmental issues, are Active Power Loss Level (APLL), Short Circuit Level (SCL), Voltage Deviation Level (VDL), Net Saving Level (NSL), and Environmental Pollution Reduction Level (EPRL). The proposed procedure investigates several hybrid optimization methods that combine the firefly algorithm (FA) with various acceleration coefficients PSO algorithms to improve the overall solution quality of the hybrid algorithms compared with the individual algorithms. To prove the capability of the proposed procedure, four different cases are tested on IEEE 33‐bus and 69‐bus EDSs. Added to that, the proposed algorithms are extended to practical Algerian EDS in Adrar City 205‐bus. Results obtained by the hybrid FA‐SCAC‐PSO algorithm showed that the simultaneous allocation of multiple DG and DSTATCOM in all standard and practical test systems significantly reduces the loss and enhances the voltage profile. An energy‐efficient analysis to proceed for different cases studied based on the best hybrid FA‐SCAC‐PSO algorithm to reach the best value of MOF compared to other algorithms, moreover the capability to achieve the optimal allocation of DG and DSTATCOM by maintaining the voltages profile within the permissible limit, whatever the variation of load. Significant technical economic and environmental achievements are found for different case studies especially in the existence of DGs and DSTATCOM devices.

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“…Here, a direct approach is utilized to solve the distribution load flow (DLF), which gives the voltage at each bus and total power losses in the RDS. From Figure 1, voltage at the bus (i+1) is expressed as [22],…”

Section: A Distribution Load Flow (Dlf)mentioning

confidence: 99%

Optimal Allocation of DG and D-STATCOM in a Distribution System using Evolutionary based Bat Algorithm

Salkuti¹

2021

IJACSA

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In this work, a methodology to find the optimal allocation (i.e., sizing and location) of Distributed Generators (DGs) and Distribution-static compensators (D-STATCOM) in a radial distribution system (RDS) is proposed. Here, the voltage stability index (VSI) is utilized to find the optimal location for the D-STATCOM, and loss sensitivity factor (LSF) method is utilized to find the optimal location for distributed generation. In this work, the proposed work is formulated as a non-linear optimization problem and it is solved using the metaheuristic/evolutionary-based algorithm. The evolutionary-based Bat algorithm is used to find optimal sizes of D-STATCOM and DGs in RDSs. To check the validity and feasibility and validity of the proposed optimal allocation approach, two standard IEEE 34 and 85 bus RDSs are considered in this paper. The simulation results show reduction in power losses and enhancement in bus voltages in the RDSs.

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Optimal location and sizing of DG and D-STATCOM in distribution networks

Cited by 19 publications

References 34 publications

Allocating active power loss with network reconfiguration in electrical power distribution systems

Allocating active power loss with network reconfiguration in electrical power distribution systems

Simultaneous allocation of photovoltaic DG and DSTATCOM for techno‐economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

Optimal Allocation of DG and D-STATCOM in a Distribution System using Evolutionary based Bat Algorithm

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