New Metrics for Assessing the Reliability and Economics of Microgrids in Distribution System

Wang, Shouxiang; Li, Zhixin; Wu, Lei; Shahidehpour, Mohammad; Li, Zuyi

doi:10.1109/tpwrs.2013.2249539

Cited by 174 publications

(100 citation statements)

References 19 publications

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“…The work analyzes the variation tendency of reliability indexes for different penetration of EVs in scenario (10). The proportion of BEVs and PHEVs in regular EVs and the proportion of EVs in three recharging mode in ruleless EVs can be determined according to scenarios (5) and (9).…”

Section: (5) Ev Penetrationmentioning

confidence: 99%

“…The battery changes the real-time power supply relationship between DG and load, so the calculation method for loss of load probability (LOLP) proposed in that paper cannot be implemented for a distribution network with BS. Reference [9] presents an equivalent conventional generator model for the Point of Common Coupling (PCC) and uses a two-step Monte Carlo simulation method to assess the reliability of distribution systems with microgrids. The equivalent conventional generator model is used to simplify the microgrid evaluation process, but the reliability assessment in microgrids is imperfect because the model does not consider the influence of EVs' charge demands and discharge capacity on the daily load.…”

Section: Introductionmentioning

confidence: 99%

“…The large-scale charging demands of EVs will have an influence on grid load [13], while vehicle-to-grid (V2G) technology can take on the tasks of peak load shifting [14]. EVs increase the complexity of power consumption, which exceeds the capability of conventional reliability evaluation models [8][9][10][11], so distribution systems need to build new reliability evaluation models covering the effects of EVs. Due to the EVs and BS, the energy that flows among DG, EVs, BS and loads has more uncertainty in amount and direction, so a new integrated model should be built to describe the complex energy interactions in microgrids.…”

Section: Introductionmentioning

confidence: 99%

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Reliability Evaluation of a Distribution Network with Microgrid Based on a Combined Power Generation System

et al. 2015

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Distributed generation (DG), battery storage (BS) and electric vehicles (EVs) in a microgrid constitute the combined power generation system (CPGS). A CPGS can be applied to achieve a reliable evaluation of a distribution network with microgrids. To model charging load and discharging capacity, respectively, the EVs in a CPGS can be divided into regular EVs and ruleless EVs, according to their driving behavior. Based on statistical data of gasoline-fueled vehicles and the probability distribution of charging start instant and charging time, a statistical model can be built to describe the charging load and discharging capacity of ruleless EVs. The charge and discharge curves of regular EVs can also be drawn on the basis of a daily dispatch table. The CPGS takes the charge and discharge curves of EVs, daily load and DG power generation into consideration to calculate its power supply time during islanding. Combined with fault duration, the power supply time during islanding will be used to analyze and determine the interruption times and interruption duration of loads in islands. Then the Sequential Monte Carlo method is applied to complete the reliability evaluation of the distribution system. The RBTS Bus 4 test system is utilized to illustrate the proposed technique. The effects on the system reliability of BS capacity and V2G technology, driving behavior, recharging mode and penetration of EVs are all investigated. OPEN ACCESSEnergies 2015, 8 1217

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Section: (5) Ev Penetrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reliability Evaluation of a Distribution Network with Microgrid Based on a Combined Power Generation System

et al. 2015

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“…However, single DG cannot provide high-quality and sustainable power. The implementation of dispersed DGs, however, may bring additional challenges while providing various benefits [1]. To make full use of renewable energy, the concept of microgrid came into existence.…”

Section: Introductionmentioning

confidence: 99%

Energy Management and Economic Operation Optimization of Microgrid under Uncertainty

Wang¹,

Ge²,

Wang³

et al. 2016

Energy Management of Distributed Generation Systems

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Microgrid provides an effective means to promote renewable energy utilization via deploying multiple distributed generations (DGs) with energy storage systems (ESSs), loads, control devices and protect devices, which can operate in either islanded mode or grid-connected mode. In order to coordinate the output of different DGs and realize the potential of renewable energy, energy management and economic dispatch of microgrid is needed. Both distributed energy resources (DERs) and user loads in microgrid have uncertainty characteristics; so the randomness of the wind speed and solar radiation intensity are modeled by interval mathematics and the interval output of the wind turbine and photovoltaic (PV) generation system are obtained. Then, a microgrid economic optimization model based on interval optimization method is proposed. Next, combined with the time-of-use characteristic, issue of the power exchange with the external grid has been considered. Finally, Considering the effect of ESS, this chapter discusses the impacts of uncertainty of renewable energy power and load power on optimization results, as well as the effects of the degree of load uncertainty or load fluctuation on scheduling results. The results verify the robustness and effectiveness of the proposed method in dealing with uncertainty optimization problem of microgrid.

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“…An approach to quantify voltage violations in the presence of battery electric vehicles is proposed in [1]. Indices are proposed in [2] for the performance assessment of micro grids. An approach is proposed in [3] for the optimal scheduling of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Risk of supply insecurity with weather condition‐based operation of plug in hybrid electric vehicles

Jayaweera

Islam

2014

IET Generation, Transmission & Distribution

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Abstract-Plug in Hybrid Electric Vehicles (PHEVs) can be a strategic source to mitigate risk of supply insecurity in an active distribution network. This paper proposes a new methodology to quantify the risk of supply insecurity with weather condition based operation of PHEVs in an active distribution network. The approach divides operating characteristics of PHEVs into charging, discharging, and null. Operation of PHEVs with change in weather conditions, intermittent characteristics of distributed generation, sector customer demand characteristics, and random outages of components are modelled on MarkovChain Monte Carlo simulation. A set of case studies are performed considering distributed operation of PHEVs as oppose to central operation of conventional units. Results suggest that distributed operation of PHEVs can potentially mitigate risk of supply insecurity of moderately stressed networks. Highly stressed networks, which are operated with PHEVs, need supplementary supports from conventional units to mitigate risk of supply insecurity.

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New Metrics for Assessing the Reliability and Economics of Microgrids in Distribution System

Cited by 174 publications

References 19 publications

Reliability Evaluation of a Distribution Network with Microgrid Based on a Combined Power Generation System

Reliability Evaluation of a Distribution Network with Microgrid Based on a Combined Power Generation System

Energy Management and Economic Operation Optimization of Microgrid under Uncertainty

Risk of supply insecurity with weather condition‐based operation of plug in hybrid electric vehicles

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