Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Heidari, Alireza; Agelidis, Vassilios G.; Kia, Mohsen

doi:10.1109/tpwrd.2014.2385654

Cited by 76 publications

(82 citation statements)

References 18 publications

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“…Indeed, recently, a few studies have presented DG allocation while considering the optimal performance of the network, in which the power quality and reliability of the network are optimized simultaneously. Accordingly, to the best of our knowledge, the new contributions of this paper with respect to the previous ones, e.g., [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], can be summarized as follows:…”

Section: Introductionmentioning

confidence: 93%

“…Reference [14] introduces analytical expressions to determine the optimum sizes and operating strategy of DG units considering the DG impacts on power loss minimization in the system by involving time-varying demand and possible operating conditions of DG units. An Improved Analytical (IA) method has been developed in [15], to solve the problem of accommodating different DG types into the largescale primary distribution networks for achieving a high loss reduction. In [16], a multi-objective Chaotic Improved Honey Bee Mating Optimization (CIHBMO) was proposed to daily Volt/VAr control in distribution systems including DGs, considering objective functions counting costs of energy generation by DGs and distribution companies, electrical energy losses and the voltage deviations for the next day.…”

Section: Introductionmentioning

confidence: 99%

“…To cope with this issue, it is desirable to develop a procedure to include the system performance index regarding power quality and reliability when DGs are located. As above mentioned in [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], while the optimal design and operation problem of DGs has motivated much research in the last decade, few existing tools seem to offer the evaluating tool required by utilities for financial aggregated assessment of reliability and power quality in the distribution networks in the presence of DGs. The majority of current approaches is often strongly focused to a specific project and necessitates extensive reformulation in the event of the future modifications, such as changes in DG technology options and price structures.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing distributed generation parameters through economic feasibility assessment

Muttaqi

Aghaei

et al. 2016

Applied Energy

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To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation schemes in terms of their cost factors that can be significantly contributed by a DG. The direct and indirect costs of power supply quality, reliability, energy loss, total power operation, and DG investment are used as key cost components of the DG siting and sizing strategy. The Particle Swarm Optimization (PSO) method is applied to obtain the optimal DG planning solutions. Finally, the proposed approach is tested on a distribution feeder of an Australian power network. Simulation results are presented to illustrate the feasibility and effectiveness of the proposed method. Abstract -To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation schemes in terms of their cost factors that can be significantly contributed by a DG. The direct and indirect costs of power supply quality, reliability, energy loss, total power operation, and DG investment are used as key cost components of the DG siting and sizing strategy. The Particle Swarm Optimization (PSO) method is applied to obtain the optimal DG planning solutions. Finally, the proposed approach is tested on a distribution feeder of an Australian power network. Simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.2

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimizing distributed generation parameters through economic feasibility assessment

Muttaqi

Aghaei

et al. 2016

Applied Energy

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“…Three DGRES technology options, namely biomass generator, wind turbines, and solar photovoltaic (PV) are considered. The probability function for the PV and wind turbines output power and network loads are extracted from [29] and [31].…”

Section: F Reliability Analysismentioning

confidence: 99%

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

Heidari

Agelidis

Zayandehroodi

et al. 2016

IEEE Trans. Smart Grid

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The paper presents a subislanding approach based on two algorithms, a backtracking algorithm, which is used to detect the exact location of distributed generation based on renewable energy sources (DGRESs) to establish subislands in the distribution networks and a protection co-ordination algorithm, which is used to identify the fault location. The IEEE reliability busbar test system is used for algorithm qualification, with several case studies and sensitivity analyses employed to verify the proposed algorithms. The probabilistic-based analytical technique along with the customer interruption cost model is then used to evaluate reliability improvements. The results presented in the paper indicate that the proposed approach is effective in increasing the reliability of power distribution systems with high penetration of DGRESs while providing an online reliability assessment. From 2006 to 2012, he was with the Faculty of Engineering, University of Zabol, Zabol, Iran. His current research interests include power system operation, power system security and reliability, renewable energy resource, and application of optimization in power systems. Vassilios G. Agelidis (S'89-M'90-SM'00) received the B.Eng. degree in electrical engineering from the Democritus University of Thrace, Xanthi, Greece, in 1988; the M.S. degree in applied

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“…The research of distribution network switch placement optimization has become a research focus at home and abroad [1][2][3][4][5][6][7][8] . In reference 1, a theorem is proposed regarding whether a sectionalizing switch should be set for each line segment.…”

Section: Introductionmentioning

confidence: 99%

Three-phase Analytical Optimization Algorithm for Sectionalizing Switch Placement of a Medium Voltage Overhead Line

Liao¹,

Luo²,

Jiang³

et al. 2018

dtetr

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In the paper, a new heuristic algorithm is proposed for the sectionalizing switch placement of medium voltage overhead lines whose switches are of the same type. The objective function includes the reliability indexes of system average interruption duration (SAIDI) and expected energy not supplied (EENS). The constraints involve the maximum available investment, user reliability requirement and maximum sectionalizing switch number, etc. A general maximum product criterion of benefitted load and isolated line length, is presented to locate a single switch, and a three-phase analytical optimization algorithm is proposed for the sectionalizing switch placement of a medium voltage overhead line. A case study shows the effectiveness and practicability of the proposed analytical model and algorithm.

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Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Cited by 76 publications

References 18 publications

Optimizing distributed generation parameters through economic feasibility assessment

Optimizing distributed generation parameters through economic feasibility assessment

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

Three-phase Analytical Optimization Algorithm for Sectionalizing Switch Placement of a Medium Voltage Overhead Line

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