Reliability Evaluation of Distribution Systems under &amp;lt;i&amp;gt;μ&amp;lt;/i&amp;gt; Grid-Tied and Islanded &amp;lt;i&amp;gt;μ&amp;lt;/i&amp;gt; Grid Modes Using Monte Carlo Simulation

Abul’Wafa, Ahmed R.; Taha, Adel

doi:10.4236/sgre.2014.53006

Cited by 8 publications

(6 citation statements)

References 19 publications

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“…Besides LDC provides important measures of reliability such as the loss of load probability and expected unserved demand [18]. Also, LDC is very often used in power system simulation based on probability where availability of production resources is combined with the load forming equivalent load [1,4,13,16,22]. Analysing load duration curve of equivalent load several power system indices can be derived out such as: loss of load probability (LOLP) and expected energy not supplied (EENS).…”

Section: Figure 4 Screening Curve Methodsmentioning

confidence: 99%

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New Approach for Stochastic Modelling of Microgrid Containing CHP

Perić¹,

Plavšić²,

Kuzle

2018

Teh. vjesn.

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The focus in this article is on long term load forecasting and expansion generation planning of the microgrids containing multiple load type consumption. The novel approach of planning cogeneration systems by introducing the function of simultaneous heat and electricity duration is presented. The function is extended form of load duration curve in such a way as to capture the simultaneity of different type of energy load. The paper contains seven chapters. In the second chapter the load forecasting methods are summarized. In continuation as an introduction to the main goal of this article, definition, application and restriction of load duration curve is presented. In the fourth chapter, some outlines about cogeneration system planning are given. The new approach for planning of microgrid contacting CHP based on probabilistic approach is presented in the fifth chapter. In the sixth chapter are demonstrated some application functions of simultaneous heat and electricity duration as a tool for planning multi energy systems.

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Section: Figure 4 Screening Curve Methodsmentioning

confidence: 99%

“…The curve Ψ C can be determined as orthogonal mapping of the heat to electricity curve (HPR) of cogeneration unit (22)…”

Section: Calculation Of Total Heat and Electricity Energy Produced Inmentioning

confidence: 99%

New Approach for Stochastic Modelling of Microgrid Containing CHP

Perić¹,

Plavšić²,

Kuzle

2018

Teh. vjesn.

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“…power capacity of each PV plant is 1.5 MW [47][48]. The failure and repair rates for PV plants for this power capacity are 0.1 failure/yr and (1/30) hr, respectively [47][48]. The 200 PV plants are required to construct the proposed PV system as shown in table (3).…”

Section: A One Pv System Installation (Ieee_eps_24 Bus_1_pvmentioning

confidence: 99%

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

et al. 2021

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Integrating renewable energy sources (RESs) into electrical power systems has gotten highly noticeable among researchers and those interested in electrical energy production due to the increase in energy demands, fossil fuel exhaustion, and ecological effects. PV-based renewable energy generation is one of the essential RESs that has appeared and had played a vital role in electrical power systems recently due to their advantages. In this regard, this paper presents a multi-objective computation problem for optimal siting and the design of grid-tied PV systems to achieve optimum generating reliability, considering some states of different generation probabilities. The proposed paper studies the evaluation of the grid-tied PV systems reliability, the states of generation probabilities, the generation buses availabilities, the capacities of the generation's system in or out of service for each failure state, and the frequency and mean duration of generation failure states. The presented multi-objective computation problem is optimized using a modified adaptive accelerated particle swarm optimization (MAACPSO) algorithm. The effectiveness of the proposed method is demonstrated through IEEE_EPS_24_bus integrated with PV systems. Results revealed the ability of MAACPSO to solve the multi-objective optimization problem presented, consequently supporting the system reliability.

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“…An unsymmetrical two point estimate method (U2PEM) has been implemented to handle the uncertainties of the used variables. Monte Carlo Simulation is proposed in [7] to find the reliability of distributed networks and results satisfy that the penetration of distributed generations improves the reliability of the distribution network. Moreover, the reliability factor is also dependent on the operation time and gets decreased when operated for a very long time [8].…”

Section: Introductionmentioning

confidence: 99%

Reliabilitystudy of Solar PV Power Production In Terms Of Weather Parameters Using Monte Carlo Simulation

Sharma¹,

Bora²,

Sharma³

et al. 2017

IJERA

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In this study the comprehensive reliability in terms of clearness index for power production of HIT, amorphous silicon & multi-crystalline silicon (m-cSi) technologies has been analyzed. The energy estimation of these three technologies is done based on regression, and deviation in the measured and estimated values is also reported. It has been found that for winter season, HIT technology module is the most reliable for overcast and partly cloudy conditions between the HIT, amorphous silicon &m-cSitechnologies. For summer season, amorphous Silicon technology shows the highest reliability for clear sky condition, m-cSi has the highest reliability for partly cloudy and HIT technology for overcast condition. HIT technology shows higher reliability both in the post monsoon and autumn season for clear sky and partly cloudy index conditions. The error in the estimations has been reduced by increasing the number of iterations.

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Reliability Evaluation of Distribution Systems under <i>μ</i> Grid-Tied and Islanded <i>μ</i> Grid Modes Using Monte Carlo Simulation

Cited by 8 publications

References 19 publications

New Approach for Stochastic Modelling of Microgrid Containing CHP

New Approach for Stochastic Modelling of Microgrid Containing CHP

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

Reliabilitystudy of Solar PV Power Production In Terms Of Weather Parameters Using Monte Carlo Simulation

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