A hybrid algorithm for optimal allocation of DG in radial distribution system

Rakesh, R.; VenkataPapana, P.; Keerthi, Sravani

doi:10.1109/tenconspring.2017.8070009

Cited by 16 publications

(7 citation statements)

References 4 publications

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“…The location of the suitable capacity of a DG unit in a distribution network plays a significant role in influencing the performance of a power network. For instance, a reduction in power losses and an increase in bus voltages are dependent on the optimal location and capacity of installed DG units in the network (Pisica, Bulac, & Eremia, 2009;Liu, Zhu, Kang, & Chen, 2007;Talaat & Al-Ammar, 2011;Sulaiman, Mustafa, Azmi, Aliman, & Abdul Rahim, 2012;Tan, Hassan, Majid, & Rahman, 2013;Elsherif & Shaaban, 2015;Kaur & Mehta, 2016;Shivarudraswamy, Gaondar, & Jayalakshmi, 2016;Rakesh, VenkataPanana, & Keerthi, 2017). Furthermore, the optimal location of multiple DG systems increases the penetration level of DG in a network to enable the manipulation of power flow in a power system (Talaat & Al-Ammar, 2011;Elsherif & Shaaban, 2015;Ogunjuyigbe, Ayodele, & Alinala, 2016).…”

Section: Dg Sitingmentioning

confidence: 99%

The Role of Distributed Generation on The Performance of Electrical Radial Distribution Network

Amewornu

Essilfie²

2022

AJAR

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Purpose: This article provides available information on the role of distributed generation (DG) in the performance of a power distribution network. Design/methodology/approach: The study reviewed articles about available methods for reducing technical losses in electrical distribution networks. The second step involved studying various researchers' views on renewable energy in some developing countries for introducing DG into a distribution network. The influence of DG on the economic performance of a distribution network. Finally, the study scouted for available information on the implementation of a demand response (DR) program on the performance of a distribution network in the presence of DG. Findings: Available information reveals that the reliability of DG for reducing the technical losses in a distribution network is higher than relying on alternating current controllers. There are indications of renewable energies in developing countries for introducing DG into a distribution network. According to the articles reviewed, the approach for the optimal location of DG did not include the combination of the voltage stability index and power loss reduction index. It is also worth considering using the power system analysis toolbox (PSAT) for DG sitting. The economic influence of DG on a distribution network's performance has not been evaluated based on the technical loss, generation cost, emission cost and reliability. It is also worth considering the benefits of demand response programs in the presence of DG. Research limitation: The review concentrated mainly on DG's influence in reducing technical loss. Articles relating to the effect of DG on other distribution network technical issues such as voltage stability, harmonics etc. also require attention Practical implications: Distribution network performance is essential for the operation of electrical gadgets. Therefore, improved distribution network performance will result in the economic development of a country. Originality/Value: This paper provides the platform that stimulates interest in using DG to improve the distribution network performance.

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Section: Dg Sitingmentioning

confidence: 99%

The Role of Distributed Generation on The Performance of Electrical Radial Distribution Network

Amewornu

Essilfie²

2022

AJAR

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“…Distributed Generation (DG) integration into the distribution system has been growing very fast due to technical, economical and environmental benefits [1,2] as presented in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of Distribution Generation in Radial Distribution System Using Hybrid Genetic Dragonfly Algorithm

Lakshmi

Jayalaxmi

Veeramsetty

2021

Technol Econ Smart Grids Sustain Energy

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Optimal placement of distributed generation (DG) is an essential task for distribution companies in order to operate the distribution network in good operating conditions. Optimal placement of DG units is an optimization problem where minimization of active power losses in the network is considered as an objective function. In this paper, hybrid genetic dragonfly algorithm is used as an optimization technique to find the optimal location and size of distributed generation units. The proposed algorithm is implemented on IEEE 15 and PG & E 69 bus distribution systems in MATLAB environment. Based on the simulation results it has been observed that with proper placement and size of DG units, distribution network can be operated with less active power losses.Keywords Distributed generation • Optimal placement • Hybrid genetic dragonfly algorithm • Active power loss Nomenclature ΔY t+1 Step vector for dragonflies A iAlignment value of dragonfly i C i Cohesion value of dragonfly i E iEnemy source of dragonfly i F iFood source of dragonfly i I k i Current at bus 'i' and iteration 'k' I k LR Current injecting at receiving node of line 'L' at iteration 'k' I l Current flowing through line l I k L Current through line 'L' at iteration 'k' I max l

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“…Restructuring electrical power utilities, increasing load demand, technical innovation, concern for greenhouse gas emissions, improving voltage and loss reduction are some of the key reasons for increasing the penetration of Distributed Generator (DG) units into the distribution network [1][2][3]. In addition, DG Units can provide customers with freedom and flexibility in planning and developing installations according to load criticality [4].…”

Section: Introductionmentioning

confidence: 99%

Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction

Veeramsetty

2021

Prot Control Mod Power Syst

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An iterative method based on Shapley Value Cooperative Game Theory is proposed for the calculation of local marginal price (LMP) for each Distributed Generator (DG) bus on a network. The LMP value is determined for each DG on the basis of its contribution to reduce loss and emission reduction, which is assessed using the Shapley Value approach. The proposed approach enables the Distribution Company (DISCO) decision-maker to operate the network optimally in terms of loss and emission. The proposed method is implemented in the Taiwan Power Company distribution network 7 warnings consisting of 84 buses and 11 feeders in the MATLAB environment. The results show that the proposed approach allows DISCO to operate the network on the basis of its priority between the reduction of active power loss and emission in the network

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A hybrid algorithm for optimal allocation of DG in radial distribution system

Cited by 16 publications

References 4 publications

The Role of Distributed Generation on The Performance of Electrical Radial Distribution Network

The Role of Distributed Generation on The Performance of Electrical Radial Distribution Network

Optimal Placement of Distribution Generation in Radial Distribution System Using Hybrid Genetic Dragonfly Algorithm

Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction

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