A Monte Carlo approach for assessment of investments deferral in radial distribution networks with distributed generation

Méndez, V.H.; Rivier, J.; Fuente, J.I. de la; Gómez, Tomás; Arceluz, J.; Marín, José Casas; Madurga, A.

doi:10.1109/ptc.2003.1304110

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…In [14] solar radiation in a time step is assumed to be dependent on the beam radiation, the diffuse radiation, the slope of the PV surface, the ground reflectance, the anisotropy and the cloudiness. In addition, the unavailability of the PV units is considered in [15].…”

Section: A Uncertainties From Pv and Loadmentioning

confidence: 99%

Distribution network planning with a large amount of small scale photovoltaic power

Martínez

Huang

Söder

2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Abstract-This paper presents a new method to assist distribution system operators assessing the capacity of each bus for connecting more photovoltaic power in a low voltage distribution network. The developed method takes the uncertainties from load and generation into account. Moreover, it applies probabilistic voltage limits in the assessment process. An improved linear power flow analysis is used in the process. Furthermore, a case study in a Swedish low voltage network is discussed to apply the proposed method on assessing the maximum photovoltaic peak power that can be installed into a distribution network without violating probabilistic voltage limits. A comparison between deterministic approach and probabilistic approach is also performed.

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Section: A Uncertainties From Pv and Loadmentioning

confidence: 99%

Distribution network planning with a large amount of small scale photovoltaic power

Martínez

Huang

Söder

2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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“…The penetration of distributed generation into a given distribution system could be measured through an individual penetration index [11] associated with the generator i:…”

Section: Distributed Generation Penetrationmentioning

confidence: 99%

Cost Loss Allocation in Distribution Networks with High Penetration of Distributed Renewable Generation - A Comparative Study

Jesús¹,

Leao²,

Yusta³

et al. 2005

REPQJ

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The implementation of market mechanisms to remunerate distributed generation should take into account a nondiscriminatory access to distribution networks. In consequence, power losses of distribution network must be fairly allocated among the all distributed generators and consumers. Several methods for power loss cost allocation have been proposed in the literature, divided basically into two groups. Firstly, methods as postage stamp, mw-mile, circuit based and proportional sharing have been supported on an arbitrary allocation of power losses between consumers and generators, typically 50-50%. More recently, a modified proportional sharing procedure has been proposed based on the allocation of the entire losses to consumers disregarding the influence of distributed generators using the basic proportional sharing principle and reallocate avoided or produced losses among distributed generators. Secondly, marginal procedures have been extensively proposed in order to send efficient economical signals to the market agents. Marginal methods require a slack bus designation and do not assign arbitrarily power losses among producers and consumers. This paper presents a comparative study of different loss allocation procedures taking into account different levels of penetration of renewable sources in distribution networks. Results are obtained and discussed from a test distribution network.

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“…In the last decade, it has been reported that the network upgrade deferral is an attractive option for DG planning to meet load growth [61][62][63]. The study in [61] showed that depending on technologies adopted, DG units have diverse impacts on the network deferral. For example, due to their intermittency, wind units have the ability to release the overloads of power networks less than CHP units.…”

Section: Network Upgrade Deferralmentioning

confidence: 99%

Smart integration of distributed renewable generation and battery energy storage

Hung¹

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Renewable energy (i.e., biomass, wind and solar) and Battery Energy Storage (BES) are emerging as sustainable solutions for electricity generation. In the last decade, the smart grid has been introduced to accommodate high penetration of such renewable resources and make the power grid more efficient, reliable and resilient. The smart grid is formulated as a combination of power systems, telecommunication communication and information technology. As an integral part of the smart grid, a smart integration approach is presented in this thesis. The main idea behind the smart integration is locating, sizing and operating renewable-based Distributed Generation (DG) resources and associated BES units in distribution networks strategically by considering various technical, economical and environmental issues. Hence, the aim of the thesis is to develop methodologies for strategic planning and operations of high renewable DG penetration along with an efficient usage of BES units.The first contribution of the thesis is to present three alternative analytical expressions to identify the location, size and power factor of a single DG unit with a goal of minimising power losses. These expressions are easily adapted to accommodate different types of renewable DG units for minimizing energy losses by considering the time-varying demand and different operating conditions of DG units. Both dispatchable and nondispatchable renewable DG units are investigated in the study. Secondly, a methodology is also introduced in the thesis for the integration of multiple dispatchable biomass and nondispatchable wind units. The concept behind this methodology is that each nondispatchable wind unit is converted into a dispatchable source by adding a biomass unit with sufficient capacity to retain the energy loss at a minimum level. Thirdly, the thesis studies the determination of nondispatchable photovoltaic (PV) penetration into distribution systems while considering time-varying voltage-dependent load models and probabilistic generation. The system loads are classified as an industrial, commercial or residential type or a mix of them with different normalised daily patterns. The Beta probability density function model is used to describe the probabilistic nature of solar irradiance. An analytical expression is proposed to size a PV unit. This expression is based on the derivation of a multiobjective index (IMO) that is formulated as a combination of iii three indices, namely active power loss, reactive power loss and voltage deviation. The IMO is minimised in determining the optimal size and power factor of a PV unit. Fourthly, the thesis discusses the integration of PV and BES units considering optimal power dispatch. In this work, each nondispatchable PV unit is converted into a dispatchable source by adding a BES unit with sufficient capacity. An analytical expression is proposed to determine the optimal size and power factor of PV and BES units for reducing energy losses and enhancing voltage stability. A self-correction algorith...

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A Monte Carlo approach for assessment of investments deferral in radial distribution networks with distributed generation

Cited by 6 publications

References 7 publications

Distribution network planning with a large amount of small scale photovoltaic power

Distribution network planning with a large amount of small scale photovoltaic power

Cost Loss Allocation in Distribution Networks with High Penetration of Distributed Renewable Generation - A Comparative Study

Smart integration of distributed renewable generation and battery energy storage

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