Probabilistic impact assessment of residential BESSs on the HC of LV distribution systems

Abad, Mohammad Seydali Seyf; Ma, Jin; Marzooghi, Hesamoddin; Ahmadyar, Ahmad Shabir

doi:10.1016/j.ijepes.2021.107652

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…Based on the time-varying generations and demands from measurement devices, and historical data, the time series methods are applied easily in short-term timescales to avoid increasing complexity or computational times [93]. Various recent articles applied these approaches for estimating the DSF [94][95][96][97][98][99][100][101].…”

Section: Conventional Approachesmentioning

confidence: 99%

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

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Recently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of distributed energy resource‐rich systems can cause various power quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial to establish energy balance between generation and demand to improve power system's reliability and stability and to minimize energy costs without sacrificing customers’ comfort or utility. In this regard, power system flexibility concept is highlighted as a robust and cost‐effective energy management system, especially on the demand side, to provide consumers’ demands with an acceptable level of power quality. Accordingly, here, a comprehensive review of recent developments in the power system flexibility and demand‐side management strategies and demand response programs are provided to include mainly classifications, estimation methods, distributed energy resource modelling approaches, infrastructure requirements, and applications. In addition, current research topics for applying power system flexibility solutions and demand‐side management strategies based on modern power system operation are deliberated. Also, prominent challenges, research trends, and future perspectives are discussed. Finally, this review article aims to be an appropriate reference for comprehensive research trends in the power system flexibility concept in general and in demand‐side management strategies and demand response programs, specifically.

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Section: Conventional Approachesmentioning

confidence: 99%

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

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“…In addition, much attention has been paid to ESSs in smart grids and SMGs, while different types and technologies for ESSs have been introduced. This paper considers the battery energy storage systems (BESSs) [53,54]. However, other ESSs' types and technologies could be studied using the proposed model.…”

Section: Information Transmission Errormentioning

confidence: 99%

Analytical reliability evaluation method of smart micro‐grids considering the cyber failures and information transmission system faults

Aslani

Hashemi‐Dezaki

Ketabi

2022

IET Renewable Power Gen

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The reliability of smart micro‐grids (SMGs), as a cyber‐physical system (CPS), might be influenced by cyber failures and information transmission faults. Several Monte Carlo simulation (MCS)‐based approaches have been reported to assess the reliability of SMGs and smart grids. On the other hand, analytical reliability assessment methods have been presented in some research works, while the cyber system has not been concerned. However, the literature shows a research gap in developing an accurate and fast reliability evaluation method for SMGs based on the unavailability of cyber elements and information transmission faults. This article tries to fill the discussed gap by adding the analytical modelling of cyber‐physical interdependencies and information transmission faults to available analytical methods, focusing on physical uncertainties. Comparing the proposed model with existing MCS‐based and analytical reliability evaluation methods illustrates the advantages of this research. Test results show that less than 5.7% expected energy not supplied (EENS) error occurs by the proposed method, which would be much faster than MCS‐based ones. Moreover, the sensitivity analyses highlight the impacts of the cyber network topologies on the cyber‐physical interdependencies.

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“…Apart from the way of allocating PV, the assumption on the stochastic and operational constraints applied to the voltage and current directly influences the calculated HC. An important takeaway was the use of a stochastic constraints, also known as chance-constraints (CC), in HC calculation which is deemed necessary to prevent calculating the HC for the worstcase [2], [5].…”

mentioning

confidence: 99%

“…A scenario-based CC-OPF was presented in [16], where the authors applied chance constraints in the curtailment risk, but an increasing number of scenarios had a huge toll on computation time. Authors of [5] used an actual LV feeder from the UK to demonstrate a stochastic OPF based HC of PV with storage, which calculated the minimum and the maximum HC of each feeder. However, the method relies on linearizing the power flow equations, uses MC samples of load and PV generation, uses worst-case voltage and current limits instead of chanceconstraints, and assumes PV size as a constant rather than a variable.…”

mentioning

confidence: 99%

Chance-Constrained Optimization Based PV Hosting Capacity Calculation Using General Polynomial Chaos

Koirala

Acker

Hashmi

et al. 2024

IEEE Trans. Power Syst.

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Probabilistic impact assessment of residential BESSs on the HC of LV distribution systems

Cited by 9 publications

References 24 publications

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Analytical reliability evaluation method of smart micro‐grids considering the cyber failures and information transmission system faults

Chance-Constrained Optimization Based PV Hosting Capacity Calculation Using General Polynomial Chaos

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