ABC algorithm based optimal sizing and placement of DGs in distribution networks considering multiple objectives

Al‐Ammar, Essam A.; Farzana, Kiran; Waqar, Asad; Aamir, Muhammad; Saifullah, Saifullah; Ul-Haq, Azhar; Zahid, Muhammad; Batool, Memoona

doi:10.1016/j.asej.2020.05.002

Cited by 69 publications

(21 citation statements)

References 42 publications

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“…Moreover, in [7] the novel heuristic technique is proposed to optimally allocate the active and reactive power in RDNs. The techniques include artificial bee colony (ABC) [1], ant line optimization (ALO) [6], efficient analytical method (EA) [31], stud krill herd algorithm (SKHA) [32]. These techniques are used for DG allocation problem for PL minimization and enhance the overall performance of RDN.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Nowadays, rising demands make distribution networks (DNs) more prone to voltage drops and line losses [1]. Electricity service providers are continuously planning to expand their existing networks to meet increasing load demands.…”

Section: Introductionmentioning

confidence: 99%

“…In recently published research works, numerous optimization methods have been employed to solve ODGA problems in radial configured DN (RDN). The aimed objectives include the minimization of PL [1], [5]- [9], reduce voltage deviation (VD) [4], [10]- [16], maximizing voltage stability index (VSI) [5], [13], [16]- [18], improved transient stability [19], enhanced reliability [20]- [24] and drop in greenhouse gas emission [25].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Hybrid Optimization-Based Algorithm for the Single and Multi-Objective Achievement With Optimal DG Allocations in Distribution Networks

et al. 2022

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Distribution networks are facing new challenges with the emergence of smart grids, such as capacity limitation, voltage instability and many others. These challenges can potentially lead to brownouts and blackouts. This paper presents an innovative technique for the optimal siting and sizing of the distributed generators (DG) in radial distribution networks (RDNs). The proposed technique uses a novel algorithm that combines improved grey wolf optimization with particle swarm optimization (I-GWOPSO) by incorporating dimension learning based hunting (DLH). The proposed I-GWOPSO employs novel aspect of DLH to reduce the gap between local and global search to keep the balance. The main optimization objectives aim to optimally site and size the DG with minimization of active power loss, voltage deviation and improvement of voltage stability in RDNs. Case studies are simulated with IEEE 33bus and IEEE 69-bus test systems, for optimal allocation of DG units by considering various power factors. The results validate the efficacy of the proposed algorithm with a significant reduction of real power loss (up to 98.1%), improvement in voltage profile and optimal reduced cost of DG operation with optimal sizing across all considered cases. A comparative analysis of the proposed approach with existing literature validates improved performance of the proposed algorithm.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Hybrid Optimization-Based Algorithm for the Single and Multi-Objective Achievement With Optimal DG Allocations in Distribution Networks

et al. 2022

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“…Table 9 presents the result summary for case 1 of 33-bus RDN for all four seasons' data. [38] 350 350 $/kW G T [65] 0.19 0.19 $/kWh I R [38] 12.5 12.5 % I F [ e objective function for this case is obtained as 0.43087. Figure 5(b) shows the total P loss, which is reduced from 245.41 kW to 184.81 kW, while the decrease of total P loss is 24.69%.…”

Section: Casementioning

confidence: 99%

Optimal Placement and Sizing Problem for Power Loss Minimization and Voltage Profile Improvement of Distribution Networks under Seasonal Loads Using Harris Hawks Optimizer

Habib

Waqar

Sohail

et al. 2022

International Transactions on Electrical Energy Systems

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Improving efficiency with sustainable radial distribution networks (RDNs) is challenging for larger systems and small grid-connected RDNs. In this paper, the optimal placement of DGs with the Harris hawks optimizer (HHO) under seasonal load demands is proposed to simultaneously reduce total active and reactive power losses and minimize bus voltage drops with the consideration of operational constraints of RDNs. HHO is a newly inspired metaheuristic optimization algorithm primarily based on the Harris hawks’ intelligent behaviors during the chasing of the prey. Furthermore, the authors have investigated four stages of DGs. The first stage involves the optimal allocation of one DG. The second stage includes an investigation with two DGs, the third stage considers three DGs, and the fourth stage investigates the integration of four DGs. The effectiveness of the applied HHO is validated on IEEE 33 and 69 bus RDNs, and results are analyzed by comparing with the standard optimization methods. The Big-O test is also executed for statistical analysis with standard algorithms. The simulation results reveal the better performance of the applied HHO under different circumstances than other algorithms. Furthermore, the total active and reactive power losses and bus voltage drops are improved by adding more DGs into IEEE 33 and 69 bus RDNs.

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“…In the functioning of power systems, economic damage and voltage collapse may be avoided through the reduction in power loss and voltage stability enhancement, respectively [5]. Thus, the investigation in optimal location selection and sizing of DG units in the distribution network is a step towards a profitable electricity supply [6,7]. Among all DG systems, solar photovoltaic DG systems seek attention worldwide for their abundant availability, easy installation, maintenance, and environment-friendly features.…”

Section: Introductionmentioning

confidence: 99%

Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects

et al. 2021

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The restructuring of power systems and the ever-increasing demand for electricity have given rise to congestion in power networks. The use of distributed generators (DGs) may play a significant role in tackling such issues. DGs may be integrated with electrical power networks to regulate the drift of power in the transmission lines, thereby increasing the power transfer capabilities of lines and improving the overall performance of electrical networks. In this article, an effective method based on the Harris hawks optimization (HHO) algorithm is used to select the optimum capacity, number, and site of solar-based DGs to reduce real power losses and voltage deviation. The proposed HHO has been tested with a complex benchmark function then applied to the IEEE 33 and IEEE 69 bus radial distribution systems. The single and multiple solar-based DGs are optimized for the optimum size and site with a unity power factor. It is observed that the overall performance of the systems is enhanced when additional DGs are installed. Moreover, considering the stochastic and sporadic nature of solar irradiance, the practical size of DG has been suggested based on analysis that may be adopted while designing the actual photovoltaic (PV) plant for usage. The obtained simulation outcomes are compared with the latest state-of-the-art literature and suggest that the proposed HHO is capable of processing complex high dimensional benchmark functions and has capability to handle problems pertaining to electrical distribution in an effective manner.

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ABC algorithm based optimal sizing and placement of DGs in distribution networks considering multiple objectives

Cited by 69 publications

References 42 publications

A Novel Hybrid Optimization-Based Algorithm for the Single and Multi-Objective Achievement With Optimal DG Allocations in Distribution Networks

A Novel Hybrid Optimization-Based Algorithm for the Single and Multi-Objective Achievement With Optimal DG Allocations in Distribution Networks

Optimal Placement and Sizing Problem for Power Loss Minimization and Voltage Profile Improvement of Distribution Networks under Seasonal Loads Using Harris Hawks Optimizer

Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects

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