An analytical methodology for reliability assessment and failure analysis in distributed power system

Ghiasi, Mohammad; Ghadimi, Noradin; Ahmadinia, Esmaeil

doi:10.1007/s42452-018-0049-0

Cited by 171 publications

(55 citation statements)

References 25 publications

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“…LOLE sys ≤ LOLE max (22) According to (20), the LOLE of each scenario is determined. After that, the LOLE of the system is calculated by (21).…”

Section: Reliability Constraintsmentioning

confidence: 99%

“…Accuracy of stochastic UC extremely depends on the number of scenarios [18,19]. Security-constraint AC UC model for a microgrid in the presence of renewable resources and demand response programme is investigated to minimise the total payment of costumers [20]. In the proposed assay, stochastic variables are electricity price and renewable generation.…”

Section: Introductionmentioning

confidence: 99%

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Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory

Ghadimi

2019

IET Renewable Power Generation

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164

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This essay performs a reliability constraint stochastic model for unit commitment problem by considering generation and transmission constraints with high wind penetration and volatility of load demands. This query is expressed as a MILP that is based on the linear direct current model. The proposed approach models uncertainty of wind generators output power, load demand fluctuations and stochastic elements outage of the system like generators and transmission lines. In this paper, stochastic interdependence between random variables like wind speed and load demand is recognized. To establish the probability distribution of these correlated random variables, Copula theory is applied. Correlation structure between wind speed of different locations and a group of loads existing in the same area is investigated and studied based on historical data. For representing these uncertainties in the stochastic unit commitment problem, possible scenarios are generated with Monte Carlo simulation method. The reliability constraints are utilized in each scenario to evaluate the feasibility of solutions from a reliability point. The introduced stochastic UC is executed on the RTS 96-bus test system. Numerical results demonstrate the advantages of implementing stochastic programming on the UC problem by taking into account the intermittent behavior of wind energy and load inconstancy.

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“…LOLE sys ≤ LOLE max (22) According to (20), the LOLE of each scenario is determined. After that, the LOLE of the system is calculated by (21).…”

Section: Reliability Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory

Ghadimi

2019

IET Renewable Power Generation

Self Cite

164

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“…If these units are directly connected to the substation, the power distribution network may also supply the island as a power supply if the power supply is interrupted. In the case of network connection, it can also be exchanged with the electricity company based on the approved rate [42].…”

Section: Improving Power Quality and Reliabilitymentioning

confidence: 99%

Optimal DG Placement to Find Optimal Voltage Profile Considering Minimum DG Investment Cost in Smart Neighborhood

Fathi

Ghiasi

2019

Smart Cities

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: Distributed Generations (DGs) have a productive capacity of tens of kilowatts to several megawatts, which are used to produce electrical energy at close proximity to consumers, which of the types of DGs can be named solar cells and Photovoltaics (PVs), fuel cells, micro turbines, wind power plants, and etc. If such kinds of power plants are connected to the network in optimal places, they will have several positive effects on the system, such as reducing network losses, improving the voltage profile, and increasing network reliability. The lack of optimal placement of DGs in the network will increase the costs of energy production and losses in transmission lines. Therefore, it is necessary to optimize the location of such DGs in the network so that the number of DGs, installation locations, and their capacity are determined to which the maximum reduction in network losses occurs. Besides, by applying an appropriate objective function, the evolutionary algorithm can find the optimal location of renewable units with respect to the constraints of the issue. In this paper, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm are used to address the placement of wind and photovoltaic generators simultaneously in two states: With and without considering the effects of greenhouse gas emission. In this regard, first, an analytical method for optimal DG (wind and PV) placement is presented, then, the proposed approach is applied over a real study case, and the simulation carried out using the MATLAB program; hence, the placement problem was solved using GA and PSO and implemented in the IEEE 33-bus radial distribution system. The obtained results were compared and analyzed. The results of the simulation show the improvement of the voltage profile and the reduction of losses in the network.

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“…Different models are proposed for reliability assessment. For example, in Ghiasi et al (2019), an analytical methodology is proposed for the failure analysis of a distribution system. In reliability theory, the main concern is lifetime of items.…”

Section: Introductionmentioning

confidence: 99%

Designing variable control charts under failure censoring reliability tests with replacement

Rasay

Arshad

2020

Transactions of the Institute of Measurement and Control

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There exist many processes where the quality characteristic does not follow a normal distribution, and the conditions for the application of central limit theorem are not satisfied; for example, because collecting data in a subgroup is impossible or the distribution is highly skewed. Thus, researchers have developed the control charts according to the specific distribution that models the quality characteristic. In this paper, some control charts are designed to monitor an exponentially distributed lifetime. The life testing is conducted according to the failure censoring while during the test; once observing a failure item, it is replaced by a new one so that the total number of items inspected during the test remains constant. Under the condition of the test, it is discussed that the elapsed time until observing the r’th failure has Erlang distribution. According to the relation of Erlang and chi-square distributions, the chart limits are computed to satisfy a specified value of type I error. Examples are presented and the curves of average run length are derived for the one-sided and two-sided control charts. Also, a comparative study is conducted to show the performance and superiority of the proposed control charts.

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An analytical methodology for reliability assessment and failure analysis in distributed power system

Cited by 171 publications

References 25 publications

Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory

Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory

Optimal DG Placement to Find Optimal Voltage Profile Considering Minimum DG Investment Cost in Smart Neighborhood

Designing variable control charts under failure censoring reliability tests with replacement

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