Optimal sizing and location of SPV (solar photovoltaic) based MLDG (multiple location distributed generator) in distribution system for loss reduction, voltage profile improvement with economical benefits

Jamil, Majid; Anees, Ahmed Sharique

doi:10.1016/j.energy.2016.02.095

Cited by 81 publications

(32 citation statements)

References 30 publications

(1 reference statement)

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“…Li et al developed and validated an optimal operational strategy for a multiple building system. For the placement of solar photovoltaic (SPV) and multiple types of DG units (ie, biomass, wind, and photovoltaic) in a distribution network, analytical expressions have been proposed . Optimal location of SPV‐based DGs in primary distribution system is proposed in Jamil and Anees .…”

Section: Introductionmentioning

confidence: 99%

“…For the placement of solar photovoltaic (SPV) and multiple types of DG units (ie, biomass, wind, and photovoltaic) in a distribution network, analytical expressions have been proposed . Optimal location of SPV‐based DGs in primary distribution system is proposed in Jamil and Anees . For optimal scheduling of distributed resources for minimizing the unbalance of micro‐grids, a comprehensive strategy is proposed in Carpinelli et al…”

Section: Introductionmentioning

confidence: 99%

“…17 Optimal location of SPV-based DGs in primary distribution system is proposed in Jamil and Anees. 16 For optimal scheduling of distributed resources for minimizing the unbalance of micro-grids, a comprehensive strategy is proposed in Carpinelli et al 18 Integration of DG units into a micro-grid is a major problem in respect of voltage regulation. The optimal allocation of photovoltaic DG (PV-DG) is proposed by Fu et al 19 A case study is carried out in Braslavsky et al 20 taking into account of optimal options of distributed energy resource (DER) technologies for reduced greenhouse gas emissions.…”

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confidence: 99%

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Optimum placement of distributed generation considering economics as well as operational issues

Manna

Goswami

2020

Int Trans Electr Energ Syst

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Summary Distributed generations (DGs) are in increased use because of numerous advantages. While determining the optimum DG placement in the network, issues related to optimum operation and controls have not been taken care of in earlier literatures. The determination of optimal DG locations in distribution network for optimum operation and control in respect of Generation and Load shedding cost (GLC), voltage, and frequency control taking into account of DG type, capacity, variation of DG output power, and load has been presented in this work. A comprehensive solution algorithm has been proposed to find out the optimum set of location of DG units that suit all probable variation of load and DG output power. Lightning search algorithm (LSA) is used to find optimal allocation of DG units in this work. For the multi‐objective function optimization, the weighting factors are optimized by using artificial bee colony (ABC) technique. A comparison study with the NSGA‐II optimization technique has also been reported in this work.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimum placement of distributed generation considering economics as well as operational issues

Manna

Goswami

2020

Int Trans Electr Energ Syst

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“…Also, the potential of DR has been studied in real cases such as Europe and Hawaii. 12,13 Studies about implementation of wind generations [14][15][16][17] and PVs [18][19][20] have also been proposed in other studies.…”

Section: Introductionmentioning

confidence: 99%

Reducing reliability cost in presence of renewables by demand side management resources

Jalili

Eslami

Moghaddam

2017

Int Trans Electr Energ Syst

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Summary Resource adequacy procurement is one of the most important issues in power system, which guarantees continuity of supplying the load. Independent system operator is responsible for resource adequacy procurement through capacity mechanisms. Capacity market is one of the most successful capacity mechanisms, where capacity providers sell their products in a competitive manner. Low investment costs, short construction periods, and more competition are factors that may justify using demand side management (DSM) resources in the capacity market. This paper aims to reduce reliability cost and mitigate the market power in the presence of renewables (wind generations and photovoltaics) by DSM resources. In the capacity market, reliability costs are calculated as sum of costs paid to the conventional generators and renewables proportionate to capacity price in their buses, and costs paid to consumers for participation in DSM programs proportionate to their share. The proposed method has been tested on IEEE 57‐bus test system, and the results have been reported.

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“…This DG type has a characteristic generate active power so that this type of DG is used as compensation of active power on distribution system which can decrease active power losses. Many researches have tested the effectiveness of PV use for decrease power losses at single or multiple locations 12,13 . However, the properties of PV that only compensate for the active power, it requires additional other devise to compensate for a considerable reactive power.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the effect placement capacitor and distributed photovoltaic generation for power system losses minimization in radial distribution system

Rahman

Manjang

Yusran

et al. 2018

AIP Conference Proceedings

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Optimal sizing and location of SPV (solar photovoltaic) based MLDG (multiple location distributed generator) in distribution system for loss reduction, voltage profile improvement with economical benefits

Cited by 81 publications

References 30 publications

Optimum placement of distributed generation considering economics as well as operational issues

Optimum placement of distributed generation considering economics as well as operational issues

Reducing reliability cost in presence of renewables by demand side management resources

Evaluating the effect placement capacitor and distributed photovoltaic generation for power system losses minimization in radial distribution system

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