An Analytical Approach for Reliability Evaluation of Distribution Systems Containing Dispatchable and Nondispatchable Renewable DG Units

Zou, Kai; Agalgaonkar, Ashish P.; Muttaqi, Kashem M.; Perera, Sarath

doi:10.1109/tsg.2014.2350505

Cited by 75 publications

(59 citation statements)

References 22 publications

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“…The overall system reliability can be calculated as follows [28], [29]: (18) where N LP is the total number of LP, N SI is the total number of subislands, N q is the total number of possible fault locations, and N CT is the total number of customer types. CDF ijkm refers to the customer damage function and L jkm is the average load of the kth type customer located at the jth LP of mth subisland.…”

Section: F Reliability Analysismentioning

confidence: 99%

“…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%

“…Also, to verify the proposed analytical approach, the results of case 2 are compared with those obtained by the Monte Carlo simulation (MSC) and presented in Table IV. In the MCS, the load demand and generation pattern are the same with the analytical method [29]. The exponential distribution functions are implemented to simulate the stats of DGRESs and system components.…”

Section: F Reliability Analysismentioning

confidence: 99%

See 2 more Smart Citations

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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Section: F Reliability Analysismentioning

confidence: 99%

Section: F Reliability Analysismentioning

confidence: 99%

Section: F Reliability Analysismentioning

confidence: 99%

See 1 more Smart Citation

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

Heidari

Agelidis

Zayandehroodi

et al. 2016

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

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“…However, solar radiation, wind velocity and wind direction are unpredictable and change rapidly based on the variations of environmental conditions [9][10][11][12][13]. Therefore, an individual power conditioning for each of the individual system is required to operate the interconnected renewable systems more efficiently.…”

Section: Introductionmentioning

confidence: 99%

Independent MPPTracking Method of Hybrid Solar-Wind Power Conditioning Systems Using Integrated Dual-Input Single-PWM-Cell Converter Topology

Thenathayalan¹,

Ahmed²,

Choi³

et al. 2017

Journal of Electrical Engineering and Technology

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-This paper proposes the modeling and control strategy to track the MPPs of hybrid PV and Wind power systems, using a new dual input boost converter. The dual input power conditioning system with an independent MPPT control scheme is introduced with minimum number of circuit elements in order to reduce the switching loss, size and cost of the system. Since the operating conditions for the PV and Wind power systems are very distinct from each other, an efficient and superior control system is required to track the MPPs of both renewable sources with the use of a simply-structured single-ended single-inductor converter. The design of Power-Conditioning System (PCS) and detail control strategy are presented in this paper. To provide independent tracking of MPPs, a variable duty-cycle control strategy is employed for the wind system and a variable frequency strategy is employed for the PV system. Finally, the proposed dual-input converter for hybrid power conditioning system is implemented and the hardware test results are presented. From the hardware experiment, it is concluded that the proposed system successfully tracks the MPPs of both of the renewable power systems independently.

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“…[5][6][7] There are certain voltage regulation measurements, such as the on-load tap changer and shunt capacitor that can regulate the stable voltage for the conventional distribution network, but they cannot meet the voltage control demands of an active distribution network, particularly in adjustments of speed and continuity. [8][9][10][11][12][13][14][15] This limitation is the primary factor governing the amount of DG that can be injected into the distribution system.…”

Section: Introductionmentioning

confidence: 99%

An improved differential evolution algorithm-based optimal series compensation voltage control strategy for an active distribution network

Zhang

Crossley

et al. 2017

Int Trans Electr Energ Syst

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Summary A distribution network with distributed generation (DG) is usually called an active distribution network. The voltage quality in an active distribution network tends to degrade because of the bidirectional power flow in the network and the random output characteristic of DG. Existing voltage control methods cannot effectively address this issue. In this article, an improved differential evolution (DE) algorithm–based optimal series compensation voltage control method for an active distribution network is presented. It is assumed that the series compensating voltage is produced flexibly by modern power electronics equipment. The quantitative relationship connecting the node voltage deviation, network power loss and compensating voltage is analysed. The optimal control model, including the power loss and load node voltage, is constructed. Then an improved DE algorithm is proposed to solve the optimal model, which combines the standard DE approach with the simulated annealing and adaptive mutation operator method. The optimal control model can be solved effectively by the improved algorithm. A simulation model is developed based on the IEEE 33 standard distribution network with DG. Simulation results confirm the validity of the optimal control model and the advantages of the improved DE algorithm.

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An Analytical Approach for Reliability Evaluation of Distribution Systems Containing Dispatchable and Nondispatchable Renewable DG Units

Cited by 75 publications

References 22 publications

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

Independent MPPTracking Method of Hybrid Solar-Wind Power Conditioning Systems Using Integrated Dual-Input Single-PWM-Cell Converter Topology

An improved differential evolution algorithm-based optimal series compensation voltage control strategy for an active distribution network

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