Simultaneous allocation of distributed resources using improved teaching learning based optimization

Kanwar, Neeraj; Gupta, Nikhil; Niazi, K. R.; Swarnkar, Anil

doi:10.1016/j.enconman.2015.06.057

Cited by 51 publications

(39 citation statements)

References 41 publications

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“…The reactive power support provided by SCs drastically reduces the cost of AEL as compared to the case of DG only integration, as discussed in Case-II. On the other hand, the proposed MSO is generating better optimal solution in comparison to ITLBO [6] and DNPL-GA [5], due to its better solution searching ability. The ITLBO is unable to determine the required amount of DER penetration because the cost of energy for different load levels is not considered in [6].…”

Section: Case-v: Optimal Integration Of Dgs and Scs Simultaneouslymentioning

confidence: 98%

“…In traditional PDNs, the node voltages are generally regulated by OLTCs associated with grid substation transformers. Many of the available DER allocation models [6]- [18], [20]- [24], [27] have ignored the presence of existing VRs in distribution systems and determined the optimal sites and sizes of DERs. However, ignoring existing resources may produce counterproductive results during system operations such as coordination issues, underutilization or overutilization of resources, and high initial investment cost of DERs.…”

Section: Proposed Optimization Framework For Optimal Der Integratmentioning

confidence: 99%

“…In order to minimize some of the operational coordination issues and to improve the system performance, optimal allocation of different distributed energy resources (DERs) such as DGs and SCs is simultaneously obtained [6], [19]- [21]. A handful amount of work suggests the operational strategies like network reconfiguration while deploying DGs in distribution systems [6], [7], [22]. The simultaneous optimal allocation of DGs and OLTCs is also obtained in [23] for power loss minimization in distribution systems.…”

mentioning

confidence: 99%

“…In the literature, many analytical [17], [24] and Artificial Intelligence (AI) techniques [5], [6], [21], [25] have been suggested to optimally allocate the DGs in distribution systems. Some of the AI techniques may include genetic algorithm/particle swam optimization (GA/PSO) [13], teaching-learning-based optimization (TLBO) [6], [8], [25], improved elephant heard optimization (EHO) [11], water cycle optimization [21], etc. However, these methods show some inherent limitations when applied to real-life optimization problems such as high computation time and tendency to stuck in local optima [26].…”

mentioning

confidence: 99%

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Moth Search Optimization for Optimal DERs Integration in Conjunction to OLTC Tap Operations in Distribution Systems

Singh

Bishnoi²,

Meena

2020

IEEE Systems Journal

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In this paper, a newly developed moth search optimization (MSO) technique is introduced to solve the complex distributed energy resources (DER) integration problems of distribution systems. In order to overcome some of the limitations observed in the standard variant of MSO, minor corrections are also suggested. On the other hand, a new optimization problem is formulated for optimal deployment of dispatchable distributed generations and shunt capacitors while simultaneously optimizing the tap positions of on-load tap-changing transformers, already deployed in grid substations. The objective of this work is to minimize the cost of annual energy loss and node voltage deviations over multiple load levels. The proposed model is implemented and solved for two benchmark test distribution networks of 33 and 118 buses. The suggested corrections are also validated by comparing the performance of the proposed approach with standard MSO and other available optimization methods. The simulation results show that the developed model optimally utilizes the existing distribution system resources and generates higher deployment benefits at lesser DER penetration as compared to the planning model which ignores these resources.

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Section: Case-v: Optimal Integration Of Dgs and Scs Simultaneouslymentioning

confidence: 98%

Section: Proposed Optimization Framework For Optimal Der Integratmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Moth Search Optimization for Optimal DERs Integration in Conjunction to OLTC Tap Operations in Distribution Systems

Singh

Bishnoi²,

Meena

2020

IEEE Systems Journal

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“…The presented model of Fathabadi is solved through modified particle swarm optimization (PSO). Additionally, the objective function of PLR is taken into account within an optimization problem in Kanwar et al, solved by improved variant of teaching learning based optimization. In the proposed model of Kanwar et al, the optimal location and size of DG and shunt capacitor units are simultaneously determined…”

Section: Introductionmentioning

confidence: 99%

A novel approach for power loss reduction in distribution networks considering budget constraint

Ahmadi

Ahmadigorji

Tohidifar

2018

Int Trans Electr Energ Syst

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Summary This paper presents an efficient framework for power loss reduction (PLR) in distribution networks. The aim of the suggested PLR model is to maximize the benefit earned for every dollar annually paid for the PLR purposes. As a main contribution compared with other works in the area of PLR, the budget constraint is incorporated with the presented model. Furthermore, in this paper, 4 potential alternatives implemented for PLR including distributed generation installation, network reconfiguration, distribution feeders' reinforcement, and installation of capacitor banks are simultaneously employed and subsequently, the optimum portion of each, based on the considered budget limitation, is determined. To solve the formulated PLR model, the integer‐based particle swarm optimization algorithm is utilized. The suggested PLR model together with integer‐based particle swarm optimization has been implemented in MATLAB programming environment structurally integrated with DIgSILENT software. Additionally, simulations are carried out on 2 distribution systems encompassing the IEEE 33‐bus and a 94‐bus real‐world distribution system. The obtained results for both of distribution systems demonstrate that the variation in limitation of budget can change the portion of each of 4 loss reduction alternatives and also the benefit received versus each dollar of annual expenditure. Furthermore, it is comprehended that the more than enough growth in investment cost can potentially decrease the benefit earned versus each dollar of annual cost paid for the PLR implementation.

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Impact of optimal integration of renewable energy sources and electric vehicles in practical distribution feeder with uncertain load demand

Dixit

2020

Int Trans Electr Energ Syst

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Distributed energy resources (DERs) are a better option for fulfillment of load demand near the load centers. Optimal location and rating of DERs plays a vital role in the enhancement of distribution system performance in terms of power loss reduction, voltage profile enhancement, environmental friendliness, increasing reliability, and postponement of system upgrading. This paper addresses the Gbest-guided artificial bee colony (GABC) optimization technique for the optimal integration of renewable energy sources (RESs) and electric vehicles (EVs) in distribution feeder to improve the power loss reduction, voltage level, cost reduction, and emissions reduction under load demand uncertainty. In this work, mathematical models of RESs, that is, wind turbine generation system (WTGS) and photovoltaic generation system (PVGS), are employed to determine the generated output power. The foremost aim of this research work is simultaneous abatement of total active power loss, entire cost, and emissions generation; therefore a multiobjective-based fitness function is formed. Moreover, the impact of charging/discharging behavior of EVs on the distribution grid has also been considered in this study. The proposed methodology is applied on two test systems: (a) 28-bus practical rural distribution network located at Kakdwip zone in the province of West Bengal, India, and (b) standard 69-bus distribution feeders. Finally, from the achieved numerical outcomes, it is analyzed that, GABC algorithm generates better outcomes as compared to other optimization techniques. This indicates the viability and effectiveness of the proposed methodology.

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Simultaneous allocation of distributed resources using improved teaching learning based optimization

Cited by 51 publications

References 41 publications

Moth Search Optimization for Optimal DERs Integration in Conjunction to OLTC Tap Operations in Distribution Systems

Moth Search Optimization for Optimal DERs Integration in Conjunction to OLTC Tap Operations in Distribution Systems

A novel approach for power loss reduction in distribution networks considering budget constraint

Impact of optimal integration of renewable energy sources and electric vehicles in practical distribution feeder with uncertain load demand

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