An Evaluation Strategy for Microgrid Reliability Considering the Effects of Protection System

Xu, Xufeng; Mitra, Joydeep; Wang, Tingting; Mu, Longhua

doi:10.1109/tpwrd.2015.2440664

Cited by 40 publications

(31 citation statements)

References 25 publications

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“…It is a relatively complete reliability assessment, but it 6 does not specify the effect of environmental conditions on reliability. In reference [16], the microgrid operational reliability is calculated by discussing the quantitative effect of protection system. However, it still not takes environmental conditions into consideration.…”

Section: Reliability Of Micro-grid Systemmentioning

confidence: 99%

“…A short-term outage model is used to calculate system short-term reliability indices in microgrids. Three short-term reliability indices in microgrid system are defined as same as the ones applied for distribution system, namely system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), and energy not supplied index (ENS) [16] Their corresponding expressions can be described as follows:…”

Section: Short-term Outage Modelmentioning

confidence: 99%

“…A. Wind turbine generators 16 The output power of WTG varies with the random variation of wind speed. First the relationship between the wind speed and windfarm output is expressed as [36] (2.1)…”

Section: Output Power Of Renewable Energy Resourcesmentioning

confidence: 99%

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Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

Wang

Hou

2018

2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)

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The University of Wisconsin-Milwaukee, 2018 Under the Supervision of Dr. Lingfeng Wang Microgrid, a distributed energy system consisting of distributed energy and loads, aim s to ensure reliable and affordable energy security in urban and rural communities. With the growing global energy need and the emerging threat of climate change, green renewa ble energy is becoming a new favorite in the field of power generation. Microgrids have rec eived wide spread attention and application for their minimizing carbon dioxide and gree nhouse gas emissions. Microgrids do so by maximizing clean local energy generation as well as reducing the stress of the transmission and distribution system.With the use of renewable energy, the reliability performance of microgrids becomes an issue because many renewable energy sources are intermittent. As power electronics increasingly serve as interfaces for renewable energy integration in microgrids, the reliable performance of power electronics plays an important role in microgrid reliability. In recent years, although the reliability of microgrid and power electronics has been studied, most of the research was limited to the reliability evaluation on the long-term planning timescale. However, the operational reliability evaluation considering power electronic influence was rarely studied.Power electronic devices such as converters are important parts of the microgrid system. The constant failure rate of converters has been widely used in power system planning. It has proved to be useful for calculating long-term or medium-term average reliability indices. However, iii under different operating conditions, the average failure rate cannot fully represent the failure rate of the component.In this thesis, a converter real-time failure model in different micro-sources was built and tested. These models were applied to an 11-node microgrid test system to calculate the operating reliability indices under different situations. Then, the sensitivity analysis was carried out, and the influence of various factors was evaluated.The converter real-time failure model is built based on the power losses of power electronics caused by the variation of the weather data (wind speed, ambient temperature, and illumination).To calculate the availability for test systems, systems were simplified to several sub-systems according to the power flow. By using the reliability block diagram (RBD) method and combining with the real-time availability of the converter, each sub-system's hourly availability was calculated. In the simulation, the system availability considering the influence of power electronics was calculated and a comparison was made with the system availability without considering the influence of power electronics. To calculate operational reliability indices, a short-term outage model was applied and varied cases were used to test the influencing factor.The sensitivity analyses demonstrated the influence of seasons, wind turbine parameters and meteorological conditions. According to the simulati...

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Section: Reliability Of Micro-grid Systemmentioning

confidence: 99%

Section: Short-term Outage Modelmentioning

confidence: 99%

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Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

Wang

Hou

2018

2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)

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“…A probabilistic feeder protection model [17] is adopted in this study. We assume that each feeder has a trigger value of for overcurrent protection.…”

Section: Feeder Protection Outage Modelmentioning

confidence: 99%

Adequacy Assessment of Power Distribution Network with Large Fleets of PHEVs Considering Condition-Dependent Transformer Faults

Tan

Wang

2016

IEEE Trans. Smart Grid

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As a new form of distributed energy resources, massive plug-in hybrid electric vehicles (PHEVs) could affect the power distribution system adequacy considering their intermittent charging loads and the load recovery ability during system outages. This paper proposes a comprehensive framework for adequacy evaluation of power distribution networks with PHEVs penetration. A condition-dependent outage model is used in this study to obtain the time sequential failure rate of the transformer. Also, a business model for the PHEVs is developed to encourage the PHEV owners to charge their vehicles in such a way that the distribution system adequacy is enhanced. Based on this model, a smart charging algorithm is proposed for the PHEVs to minimize their charging cost and enhance the adequacy of the distribution network at the same time. Various simulation studies are carried out to verify the effectiveness of the proposed smart charging approach. The simulation results show that the proposed approach is effective in enhancing both the adequacy of the distribution network and economic profits of PHEVs.Index Terms-Plug-in hybrid electric vehicle, power system adequacy assessment, hybrid transformer failure model, Monte Carlo Simulation. NOMENCLATURE Indices:Index of time slots, running from 1 to T. Index of PHEVs, running from 1 to M. Variables:Real-time electricity price. Initial state of charge. Desired state of charge. The minimal limit of SOC. The maximal limit of SOC. SOC of the ℎ PHEV at time slot . Capacity of the ℎ PHEV. , Plug-in time of the ℎ PHEV., Plug-out time of the ℎ PHEV., Energy required to charge the ℎ PHEV to the desired SOC. The total power demand of the studied system.The base load demand of the studied system. The average power demand of the studied system. The rated charging power. The total charging power of all the PHEVs., Energy required to charge the ℎ PHEV to the desired SOC at time slot ., , Available energy can be charged by the PHEV after the interruption occurred at time slot . , ,The energy can be exported to the grid during an interruption at time slot for the ℎ PHEV. ,The energy can be charged by the ℎ PHEV during the remaining plug-in time at time slot ., The potential energy can be used for load recovery at time slot for the ℎ PHEV.ℎ Charging cost of all the PHEVs. The profit earned by providing reliability support for the ℎ PHEV. The profit earned by providing reliability support for all the PHEVs. CostThe total cost of all the PHEVs. ,The loss of insulation life during a time period N. ∆The equivalent operation time. Random transformer failure probability. Transformer aging failure probability. The hybrid transformer failure probability. The outage rate for transformer protection. The outage rate for transformer when the overload protection is not required. The outage rate for transformer when the overload protection is required.The pick-up current value. The expectation value of . Trigger current for feeder overcurrent protection.The expected value of . The probability for feeder overcu...

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“…Considering the main function of the power utilities being the transportation of energy to the final customer, we seek to use these new technologies and methods to increase the quality and safety of the service provided. In this way, one of the criteria most considered by the companies is the reliability of the network, both for strategic issues of network operation, and for the existence of financial penalties for not meeting targets [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Coordination and Selectivity of Protection Devices with Reliability Assessment in Distribution Systems

Boaski¹,

Santos²,

MauricioSperandio³

et al. 2017

System Reliability

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This chapter provides an overview of the reliability of electricity distribution networks, and its evaluation that is linked with the protection system. In this way, the characteristics of network protection are presented, along with the peculiarities in coordination and device selectivity adjustments. For the assessment of the reliability, we have the methodology of logic-structural matrix (LSM) that integrates the constitution of the network with historical data of faults, so that with this, a model can be elaborated that can evaluate the impact of changes in the system directly on the reliability indicators.

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An Evaluation Strategy for Microgrid Reliability Considering the Effects of Protection System

Cited by 40 publications

References 25 publications

Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

Adequacy Assessment of Power Distribution Network with Large Fleets of PHEVs Considering Condition-Dependent Transformer Faults

Coordination and Selectivity of Protection Devices with Reliability Assessment in Distribution Systems

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