Impact of DG Placement on Reliability and Efficiency With Time-Varying Loads

Zhu, Dan; Broadwater, Robert; Tam, Kwa-Sur; Seguin, R.; Asgeirsson, Haukur

doi:10.1109/tpwrs.2005.860943

Cited by 161 publications

(73 citation statements)

References 9 publications

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“…The most common indices used by electric services are System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI) [8,9,[11][12][13]. However, in order to reflect the severity of a system outage, additional reliability indices can be evaluated, like the Energy-Not-Supplied (ENS) index and Average Energy-Not-Supplied (AENS) index [2,6].…”

Section: Reliability Evaluationmentioning

confidence: 99%

“…The availability of continuing the supply of power is based the development of a distribution system that relies on the type, number, and size of the distributed generators, number of reclosers, and positions of both generators and reclosers on the feeder [11]. Another case study pointed out that both reliability and losses vary as a function of loading or time based on the qualitative analysis of three different systems [12]. The switch placement problem to increase system reliability for radial distribution systems with the integration of DGs after a fault was expressed.…”

Section: Introductionmentioning

confidence: 99%

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Photovoltaic and Wind Turbine Integration Applying Cuckoo Search for Probabilistic Reliable Optimal Placement

2018

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This paper presents an efficient Cuckoo Search Optimization technique to improve the reliability of electrical power systems. Various reliability objective indices such as Energy Not Supplied, System Average Interruption Frequency Index, System Average Interruption, and Duration Index are the main indices indicating reliability. The Cuckoo Search Optimization (CSO) technique is applied to optimally place the protection devices, install the distributed generators, and to determine the size of distributed generators in radial feeders for reliability improvement. Distributed generator affects reliability and system power losses and voltage profile. The volatility behaviour for both photovoltaic cells and the wind turbine farms affect the values and the selection of protection devices and distributed generators allocation. To improve reliability, the reconfiguration will take place before installing both protection devices and distributed generators. Assessment of consumer power system reliability is a vital part of distribution system behaviour and development. Distribution system reliability calculation will be relayed on probabilistic reliability indices, which can expect the disruption profile of a distribution system based on the volatility behaviour of added generators and load behaviour. The validity of the anticipated algorithm has been tested using a standard IEEE 69 bus system.

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Section: Reliability Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Photovoltaic and Wind Turbine Integration Applying Cuckoo Search for Probabilistic Reliable Optimal Placement

2018

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“…The characteristic of surge arrester is shown in Table I. Failure rate of overhead line, cable line and surge arrester which presented in Table II is used to reliability analysis [11]. …”

Section: Cablementioning

confidence: 99%

Maximum lightning overvoltage location and reliability indices in power system with combined transmission line

Sadeh

Damchi

2010

2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America (T&D-La)

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Abstract--In recent years with the expansion of the power system and competing the electrical energy market, cause is to optimum designing power system and optimizing power system maintenance methods with decreasing unnecessary cost without affecting overall power system reliability.Combined transmission line is one of the factors that affect on power system reliability indices, because cable lines are manufactured with high voltage insulations, while high voltage insulations are known as weak points in the power system in view of reliability. Therefore, many efforts have been done for increasing high voltage reliability insulation, e.g. improving insulation endurance and optimizing insulation system design [5].Reliability analysis of the power system that contains combined line is very important because most faults on transmission lines are transient and these faults do not cause that overhead line be permanently out of service. Transient faults are typically caused by lightning activity, and they have a very short duration. Transient faults automatically clear by auto-reclose operation of the line circuit breakers. Automatic clearing operation time takes less than a second and clearing operation does not require human intervention. Whereas autoreclose operation can not clear cable insulation faults and also cable insulation does not restore like air insulated transmission line. Therefore, cable fault always causes that cable line completely be out of service [6]. Repairing damaged cable line takes several days or even some weeks [7].The cable failure rate depends on several factors, such as voltage stress, age of cable line, insulation defects and design of cable [8]. Therefore, one of the factors that affect the combined transmission line reliability is age of cable, because of cable line failure rate increases by increasing cable line age [9].In this paper, variations of the maximum overvoltage amount and location are analyzed by changing cable line length and number of spans before a cable line in the power system with a combined transmission line. Also, reliability analysis is performed for combined transmission line which the cable line is protected by surge arresters at both ends.

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“…Dan Zhu et al [15] has done a reliability analysis based on set theory and discussed how the system load and additional generation (provided by DG) affect the system reliability. The manner in which these locations vary as a function of time-varying loading is considered.…”

Section: Distributed Generation Planning Strategy Withmentioning

confidence: 99%

Distributed Generation Planning Strategy with Load Models in Radial Distribution System

Singh¹,

Singh²,

Verma³

2009

IJCEE

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Abstract-This paper proposes a new approach for distributed generation (DG) planning from the perspective of a distribution company (disco). Optimal sizing and siting decisions for distributed generator is obtained through different approaches: Power loss minimization, System MVA minimization, System cost minimization and System Energy loss minimization. The methodology adopted permits the planner to decide optimal location and size of DG with compromise between Power loss, System MVA, System cost and System energy loss. Normally a constant power (real and reactive) load model is assumed in most of the studies. It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems. A comparative study of optimal location and size of distributed generator provided by installing DG resources with different type of loads models has been performed.

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Impact of DG Placement on Reliability and Efficiency With Time-Varying Loads

Cited by 161 publications

References 9 publications

Photovoltaic and Wind Turbine Integration Applying Cuckoo Search for Probabilistic Reliable Optimal Placement

Photovoltaic and Wind Turbine Integration Applying Cuckoo Search for Probabilistic Reliable Optimal Placement

Maximum lightning overvoltage location and reliability indices in power system with combined transmission line

Distributed Generation Planning Strategy with Load Models in Radial Distribution System

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