Optimum electricity purchase scheduling for aggregator storage in a reliability framework for rural distribution networks

Narimani, A.; Nourbakhsh, Ghavameddin; Ledwich, Gerard; Walker, Geoffrey R.

doi:10.1016/j.ijepes.2017.08.001

Cited by 14 publications

(24 citation statements)

References 20 publications

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“…Specific probabilistic models are required for the calculation of the SOC evolution in analytical techniques and simplifications are commonly applied. In [62,66] a probabilistic battery state model formed of multiple states of charge and their associated probabilities is used. However, the number of SOC states is limited and the chronological SOC evolution is not considered.…”

Section: Energy Storage Systemsmentioning

confidence: 99%

“…The main drawback in modelling of energy storage lies in the increased complexity required to address the variability and time-evolution of generation and demand during failures [62]. An effective modelling solution is to define probabilistic states of stored energy over the failure duration [62,66]. However, these models do not include the charge and discharge processes of energy storage.…”

Section: Introductionmentioning

confidence: 99%

“…In [124] an analytical method was proposed to assess the reliability improvement introduced by a renewable DG with an energy storage system operated in the islanded mode. In [66] the reliability of rural distribution networks including energy storage and photovoltaic systems was also evaluated in the islanded mode. However, in these references the contribution of energy storage in tie-supported restoration mode was not evaluated, and the chronological charge and discharge processes over the fault duration were not modelled.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Analysis of the Energy Storage for Improving the Reliability of Distribution Networks

Escalera

Prodanović

Castronuovo

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Apparent power in the soft-open pointVoltage magnitude and angle at bus i Chapter 2Literature Review: Reliability Assessment of Active Distribution NetworksReliability assessment tools are of crucial importance for planning power distribution systems. In recent years there has been an increased deployment of renewable energy, distributed generation, energy storage, electric vehicle, protection device automation and demand response schemes in the distribution system, leading to the creation of the term Active Distribution Networks (ADNs). All these technologies contribute in their own way to the network reliability. The objective of this chapter is to provide a critical literature review of the reliability assessment techniques used for the evaluation of distribution networks, emphasising the importance of an increased penetration of distributed energy resources and a more widespread application of control, protection and communication technologies. A detailed analysis and a comparison between different techniques used for the reliability assessment will be provided for each technology. Most of the content of this chapter has been already published in [10].

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Section: Energy Storage Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Analysis of the Energy Storage for Improving the Reliability of Distribution Networks

Escalera

Prodanović

Castronuovo

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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“…Under these circumstances, the effect of applying demand response actions to support renewable generation has been studied in References [16][17][18]. Another option to improve reliability is energy storage, studied in References [19][20][21] for energy storage devices and in References [22,23] for parking lots. In these works, demand response and energy storage options are individually used to support renewable generation.…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management

et al. 2019

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Modern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of the interrupted areas and help improve the network reliability. However, the optimal coordination of control actions between these resources will lead to their most efficient use, maximizing the network reliability improvement. Until now, the effect of such networks with optimal coordination has not been considered in reliability studies. In this paper, DGs, energy storage and demand management techniques are jointly modelled and evaluated for reliability assessment. A novel methodology is proposed for the calculation of the reliability indices. It evaluates the optimal coordination of energy storage and demand management in order to reduce the energy-not-supplied during outages. The formulation proposed for the calculation of the reliability indices (including the modelling of optimal coordination) is described in detail. The methodology is applied to two distribution systems combining DGs, energy storage and demand management. Results demonstrate the capability of the proposed method to assess the reliability of such type of networks and emphasise the impact of the optimal coordination on reliability.

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“…It is suggested that renewable energy resources improve the reliability of distribution networks. Also in [16], a technique for assessing the reliability of distribution systems is proposed, considering the planning of large-scale storage systems. In this work, the impacts of seasonal changes in load and output power of DG, electricity market prices, islanded operation and state of charge (SOC) are also considered.…”

mentioning

confidence: 99%

Analytical evaluation of the reliability of the active distribution networks considering the scheduling of switching and network recovery

Roshan¹,

Forouzanfar²,

Ghiasi³

2019

IJET

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Given the direct relationship between distribution networks and consumers of the power systems, the reliability of these systems is highly important. So improvement of reliability is the top priority of distribution networks designers and operators. One of the solutions provided in this area is the installation of distributed generation in distribution networks, which allows the islanded operation of the distribution system at the time of fault in upstream networks. In this project, a detailed analytical model was proposed to evaluate the reliability of distribution networks considering distributed generation. In order to more accurately modelling, the time required to recover from a main source, the time needed to open and close the switches and the time needed to recover loads through an alternative source were considered. Moreover, the age of distributed generation sources was modeled and its impact on reliability was examined. Also, the time and volume of calculations were reduced using the concept of segmentation and calculation of reliability indices for each segmrnt. The proposed model was used to evaluate the reliability of a sample distribution network. The results indicated that as the age of distributed generation increased, the reliability of the distribution system was reduced.Keyword -reliability of distributed systems, distributed generation (DG), analytical evaluation, islanded operation. I. INTRODUCTIONIn recent years, many efforts have been made to improve the reliability of power systems and distribution networks. One of the solutions considered by many researchers to improve reliability is the implementation and use of renewable energy resources in power systems. In order to improve the conditions for the use of distributed generation (DG), a new concept called microgid was introduced that enables the integration of DG sources and more efficient use of them [1]. Given the increasing presence of DG and microgrids in distribution systems, evaluating the reliability of these networks has become more complex. The evaluation of the reliability of distributed networks along with DG has attracted the attention of many scholars. In some studies, the reliability of microgrids with distributed energy sources such as wind and solar energy is evaluated. For example, in [2,3,4,5], the reliability of distributed networks along with DG is evaluated. In [6], the impact of DG and storage systems on the reliability of the distribution system is studied. In this study, storage system modeling was used to reduce the fluctuations in output power of renewable energy resources.There are also studies to use Monte Carlo Simulation (MCS) to evaluate the reliability of the system. In [7,8], the reliability of small islanded power systems and independent microgrids is calculated using load simulation and MCS. In [9], a comprehensive review of reliability models and methods for estimating the impact of renewable energy resources on the availability of generation power is provided. In [10], a study on evaluating the reliab...

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Optimum electricity purchase scheduling for aggregator storage in a reliability framework for rural distribution networks

Cited by 14 publications

References 20 publications

An Analysis of the Energy Storage for Improving the Reliability of Distribution Networks

An Analysis of the Energy Storage for Improving the Reliability of Distribution Networks

Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management

Analytical evaluation of the reliability of the active distribution networks considering the scheduling of switching and network recovery

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