Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Cost of Operation Risk

Gong, Qingjie; Lei, Jiazhi; Ye, Jun

doi:10.3390/en9010061

Cited by 23 publications

(16 citation statements)

References 35 publications

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“…Fleet management with optimal sizing and siting of PV systems would help mitigate against some challenges as a consequence of the intermittent nature of PV [182][183][184][185][186][187][188]. Several factors such as feeder losses, voltage profile, cost, line ampacity and the existence of previous PV installations are some of the primary factors to be considered when siting and sizing a PV on an existing feeder.…”

Section: Geographic Smoothing and Optimal Location Of Pv Systemsmentioning

confidence: 99%

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

et al. 2018

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Integration of high volume (high penetration) of photovoltaic (PV) generation with power grids consequently leads to some technical challenges that are mainly due to the intermittent nature of solar energy, the volume of data involved in the smart grid architecture, and the impact power electronic-based smart inverters. These challenges include reverse power flow, voltage fluctuations, power quality issues, dynamic stability, big data challenges and others. This paper investigates the existing challenges with the current level of PV penetration and looks into the challenges with high PV penetration in future scenarios such as smart cities, transactive energy, proliferation of plug-in hybrid electric vehicles (PHEVs), possible eclipse events, big data issues and environmental impacts. Within the context of these future scenarios, this paper reviewed the existing solutions and provides insights to new and future solutions that could be explored to ultimately address these issues and improve the smart grid's security, reliability and resiliency.

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Section: Geographic Smoothing and Optimal Location Of Pv Systemsmentioning

confidence: 99%

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

et al. 2018

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“…By the simulated wind speed, the wind power output P w can be calculated by

P_{w} = ({, \begin{array}{c} P_{N} ((), b_{1} v^{3} + b_{2} v^{2} + b_{3} v + b_{4}), \\ P_{N}, \\ 0, \end{array}) \begin{matrix} centertrue \\ v_{italicin} \leq v < v_{N} \\ v_{N} \leq v < v_{italicout} \\ v < v_{italicin} & v \geq v_{italicout} \end{matrix}

where, b 1 , b 2 , b 3 , and b 4 are fitting coefficients which can be evaluated by wind history data. P N represents the rated output of WTG, v N is the rated wind speed, v in is the cut‐in speed of wind, and v out is the cut‐out speed of wind.…”

Section: Modeling Of Active Distribution Networkmentioning

confidence: 99%

Optimal allocation of a hybrid energy storage system considering its dynamic operation characteristics for wind power applications in active distribution networks

Lei

Gong

2018

Int J Energy Res

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Summary This paper aims at specifying the optimal allocation of a hybrid supercapacitor‐vanadium redox flow battery (VRB) energy storage system (ESS) for maintaining power balance of active distribution networks (ADNs) for wind power applications. Correspondingly, an optimal allocation approach for the hybrid ESS considering the application scenarios of supercapacitor ESS and VRB ESS was proposed. The supercapacitor ESS was used for restraining the high‐frequency components of net load power and a net load power spectrum analysis method based on dividing the variations of net load power was used to obtain the optimal capacity of supercapacitor ESS. For the allocation of hybrid ESS, a mathematical framework was proposed considering both the economy and reliability of ADNs associated with VRB′ dynamic operation characteristics. Finally, the proposed optimal allocation approach was validated and tested by a modified IEEE 33‐bus system. Test results have demonstrated the effectiveness of the proposed optimal allocation approach associated with the power flow operation characteristics of ADNs.

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“…By normalizing the scales of the consequence and occurrence of an event, a log‐log risk chart is utilized for the potential failure estimation . Reliability‐based indices (eg, loss of load probability index, expectation of load not being served, damage recovery index, and line outages index) were developed to quantify the resilience of microgrid under extreme events (Hurricanes, blizzards, and earthquakes) . Relevant work addressed the cascading failures from the viewpoint of topology and connectedness in a network.…”

Section: Introductionmentioning

confidence: 99%

New risk analysis considering spatial correlations among connected PVs for bidirectional distribution feeders

Al‐Saadi

Živanović

Al-Sarawi

2020

Int Trans Electr Energ Syst

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Summary The distribution networks are in a transition stage from being “passive” (consuming energy and typically with unidirectional power flows) into “active” (consuming/producing energy with bidirectional power flows). This transition has exposed the networks to stochastically behaving risks such as violation of the prescribed limits of power quality or overloading the network elements. The current paper presents a new risk analysis to quantify the risks of violating operational constraints due to a large number of small‐size Photovoltaics (PVs). Risk's likelihood and severity are estimated based on the relative frequency of the number and the relative frequency of the accumulative depth of a violation, respectively. This article has two objectives. The first is to determine the hosting capacity of the targeted network. The second is to address the effect of spatial correlation on risk quantification, specifically the effect of perfectly positive correlation (PEC) to the effect of partially positive correlation (PAC). Modelling PAC through spatial rank correlation is established utilizing the Nataf transformation due to the non‐Gaussianity of the probability densities of PV uncertainties. The approach is implemented on two distribution networks: IEEE 13 bus test distribution feeder and a large distribution network with multiple zones situated in South Australia. The approach is location‐specific and time‐varying. Hosting capacity is determined with the results of PEC showed an overestimation of the problem in comparison with the more realistic simulation under PAC. The analysis outcomes can help distribution network operators in managing and regulating the growing risks of high PV penetration.

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Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Cost of Operation Risk

Cited by 23 publications

References 35 publications

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

Optimal allocation of a hybrid energy storage system considering its dynamic operation characteristics for wind power applications in active distribution networks

New risk analysis considering spatial correlations among connected PVs for bidirectional distribution feeders

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