Installing distributed generation units and capacitors simultaneously in a distribution system considering economic issues

Hosseini, Seyed Amir; Eslami, Reza; Vahidi, B.; Abyaneh, Hossein Askarian; Sadeghi, S.H.H.; Mohseni, Kazem

doi:10.1063/1.4872361

Cited by 10 publications

(7 citation statements)

References 21 publications

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“…According to the simulation results, the penetration of DG resources in t network is 25.96%, while in reference [4], this value is 61.43% which is not a higher than the limit of the maximum penetration of DG. According to the simulation results, the penetration of DG resources in this paper for the BREC ork is 25.96%, while in reference [4], this value is 61.43% which is not acceptable, because it is er than the limit of the maximum penetration of DG. According to the simulation results, the penetration network is 25.96%, while in reference [4], this value is 6 higher than the limit of the maximum penetration of DG According to the simulation results, the penetration of DG resources in this paper for the BREC ork is 25.96%, while in reference [4], this value is 61.43% which is not acceptable, because it is er than the limit of the maximum penetration of DG.…”

Section: Resultsmentioning

confidence: 88%

“…According to the simulation results, the penetration network is 25.96%, while in reference [4], this value is 61 higher than the limit of the maximum penetration of DG. mulation results, the penetration of DG resources in this paper for the BREC e in reference [4], this value is 61.43% which is not acceptable, because it is the maximum penetration of DG. According to the simulation results, the penetration of DG resources in this paper for the BREC network is 25.96%, while in reference [4], this value is 61.43% which is not acceptable, because it is higher than the limit of the maximum penetration of DG.…”

Section: Resultsmentioning

confidence: 89%

“…Some of the technical advantages include power loss reduction, peak shaving, and improvement in voltage profile, reliability, and power quality [1][2][3]. Some of the economic advantages include the reduction of transmission and distribution costs [4]. Renewable DG resources are the most imperative part of the modern power system and have many potential economic benefits [5].…”

Section: Introductionmentioning

confidence: 99%

“…In [15,21], some indices, such as power loss and voltage profile indices, have been presented in order to evaluate the efficiency of installed DG units. Paper [4] has minimized the benefit-to-cost ratio by considering power loss and voltage profile of the network by assigning them to monetary values. Article [22] has presented the optimal siting and sizing of renewable distributed generators such as wind and photovoltaic units in distribution systems considering the cost of operational risk.…”

Section: Introductionmentioning

confidence: 99%

“…In articles [12,13], some of the technical and economic parameters have not been considered, such as reliability. In paper [4], for DG resources only non-renewable DG resources have been considered and renewable DG resources have not been considered. Also, some of the constraints such as DG penetration in feeders and budget constraints have been ignored in [4,17].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Multi-Criteria Optimal Sizing and Allocation of Renewable and Non-Renewable Distributed Generation Resources at 63 kV/20 kV Substations

Madahi

Sarić

2020

Energies

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The optimal allocation and sizing of distributed generation (DG) resources are important in installing these resources, to improve the technical parameters of the network, including the power losses, voltage profile, and short-circuit level, as well as to increase economic factors. In this paper, a new multi-criteria algorithm and objective function are proposed for the optimal sizing and allocation of renewable and non-renewable DG resources simultaneously. The proposed algorithm is implemented on 63/20 kV substations at 20 kV levels. In the proposed objective function, all important technical and economic factors as well as important constraints, such as penetration level of DGs and budget constraint, are considered in a way that all factors are assigned to monetary values. Moreover, a new mathematical formulation is introduced for the allocation of renewable DG resources to reduce run-time optimization. The genetic algorithm (GA) is employed in the proposed algorithm to minimize the objective function. For renewable DG resources, photovoltaic panels and wind turbines, and for non-renewable DG resources, gas turbines are considered. The 115 buses network of Bakhtar Regional Electric Company (BREC) in Iran is used to evaluate the performance of the proposed algorithm. The results demonstrate that the proposed algorithm improves technical factors efficiently and maximizes the profitability of the investment.

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Section: Resultsmentioning

confidence: 88%

Section: Resultsmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multi-Criteria Optimal Sizing and Allocation of Renewable and Non-Renewable Distributed Generation Resources at 63 kV/20 kV Substations

Madahi

Sarić

2020

Energies

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A seven-state Markov model for determining the optimal operating mode of distributed generators

Hosseini

Vahidi

Abyaneh

et al. 2015

Journal of Renewable and Sustainable Energy

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Distributed generation resources (DG) can operate in three modes of peak shaving, backup, and intentional islanding. Optimal operation of DGs has high influence in reliability improvement and cost reduction. Accordingly, in this paper using the index of expected cost of interruption, the optimal operation mode of DGs is identified. The purpose of this optimization is improving the reliability and reducing the cost of distribution companies which own DG resources. Since any method, which considers all operation modes simultaneously, has not been presented, this paper is aimed to present a method to identify operation mode of DG. The presented method uses Monte Carlo simulation in order to model the network component and a seven-state Markov model is presented. Results show that total operation cost of the distribution companies is reduced 256838.489 ($/yr) by determining optimal operation mode for DG. Results also show that operation cost of system reduces drastically when DG operation mode is identified hourly rather than situation when DG operates in only single mode. Accordingly, using the presented method, companies which own DG can choose optimal operation mode of their DGs for each hour so that most benefits are acquired.

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Merging the retrieval of the protection coordination of distribution networks equipped with DGs in the process of their siting and sizing

Hosseini

Abyaneh

Sadeghi

et al. 2016

Journal of Renewable and Sustainable Energy

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Changes in the topology of distribution networks which is due to connecting or disconnecting of distributed generations (DGs) is a critical challenge in maintaining protection coordination in these networks. Protection coordination is generally retrieved after deciding optimal capacity and location of installing DGs. Nevertheless, in this paper, a new method is presented which merges the protection coordination of distribution networks in the process of sizing and siting DGs. The presented approach of this paper, in addition to identifying the optimal location and capacity of DGs with the purpose of increasing the benefits and reducing cost of installing these resources, is to also create a robust protection coordination. In order to provide a robust protection coordination, the capacity and location of fault current limiters are identified parallel with sizing and siting DGs. The protection coordination considered in this paper results in grouping different topologies of the network according to allowable memory of protective relays. On this basis, the protection coordination of all operational topologies of the network is guaranteed. In order to coordinate each group interval linear programming is suggested. This method reduces the number of protection coordination constraints of each group and simplifies appropriate protection coordination for the group. The proposed method is tested on Zanjan Regional Electric Board, Iran. Simulation results are reported and discussed.

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Installing distributed generation units and capacitors simultaneously in a distribution system considering economic issues

Cited by 10 publications

References 21 publications

Multi-Criteria Optimal Sizing and Allocation of Renewable and Non-Renewable Distributed Generation Resources at 63 kV/20 kV Substations

Multi-Criteria Optimal Sizing and Allocation of Renewable and Non-Renewable Distributed Generation Resources at 63 kV/20 kV Substations

A seven-state Markov model for determining the optimal operating mode of distributed generators

Merging the retrieval of the protection coordination of distribution networks equipped with DGs in the process of their siting and sizing

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