Framework for evaluating and comparing performance of power system reliability criteria

Heylen, Evelyn; Labeeuw, Wouter; Hertem, Dirk Van

doi:10.1109/ptc.2017.7981083

Cited by 7 publications

(13 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The objective function presented in (26) is composed of two terms: investment as well as operation costs presented in (1) and load curtailment cost. Load curtailment cost is formulated in (27) [35]. It should be noted that the load curtailment cost stands for sum of power curtailment in each contingency.…”

Section: Linearised Es-tep Model-objective Functionmentioning

confidence: 99%

An online method for MILP co‐planning model of large‐scale transmission expansion planning and energy storage systems considering N‐1 criterion

Mazaheri

Abbaspour

Fotuhi‐Firuzabad

et al. 2020

IET Generation Trans & Dist

View full text Add to dashboard Cite

In recent years, increased integration of renewable energy sources (RES) calls for extensive and costly investments in transmission networks. In response, power system decisionmakers try to apply alternative solutions aimed to decrease the imposed investment costs. In this context, the presence of large-scale energy storage systems (ESSs) in transmission network can be a practical option for deferring investment in expansion plans of transmission lines, alleviating system congestions, and attaining higher flexibility. In this paper, an efficient model is proposed for co-planning expansion studies of compressed air energy storage (CAES) units and transmission networks. The associated optimisation formulation of co-planning problem is expressed as a MILP model, which can be efficiently solved. The proposed model is applied on the Garver as well as RTS test systems and N-1 criterion is considered to address the system reliability performance in expansion studies. The results demonstrate that the proposed co-planning framework has a superior performance in expansion plans of transmission systems. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Section: Linearised Es-tep Model-objective Functionmentioning

confidence: 99%

An online method for MILP co‐planning model of large‐scale transmission expansion planning and energy storage systems considering N‐1 criterion

Mazaheri

Abbaspour

Fotuhi‐Firuzabad

et al. 2020

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…Up till now, performance evaluation of reliability management was mainly based on reliability indicators, such as ENS, system-related indicators, such as line overloading or voltage violations, and socio-economic indicators, such as total system cost [11], [12], [13]. Besides these traditional aspects determining technical, economic and social acceptability of RMACs, the latter is also determined by the distribution of reliability among consumers.…”

Section: Inequality In Short-term Reliability Management Approacmentioning

confidence: 99%

“…The simulation of preventive and corrective control is executed using a DC security constrained optimal power flow (SCOPF) in which generation redispatch, branch switching, phase shifting transformer tap changing and load curtailment are considered as available actions [15]. The simulations are executed using a MATLAB implementation [12] interfacing with the DC SCOPF, which is implemented in AMPL [16].…”

Section: A Data and Assumptionsmentioning

confidence: 99%

Fair Reliability Management: Comparing Deterministic and Probabilistic Short-Term Reliability Management

Heylen

Ovaere

Hertem

2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

Self Cite

View full text Add to dashboard Cite

Fairness is considered important in various contexts. Although electricity is an essential public good in modern societies that should be affordable and accessible on a fair, nondiscriminatory basis, there is no assessment of fairness in a power system reliability context. Nevertheless, fairness might become an issue with probabilistic short-term reliability management approaches that enable system operators to differentiate between consumers based on their value of lost load. This paper focuses on equality between consumers in terms of energy not supplied. A transparent assessment of inequality in short-term power system reliability management is illustrated that uses an inequality ratio and inequality index to quantify the level of inequality between entities, such as nodes, consumer groups or individual consumers. Inequality resulting from short-term probabilistic reliability management and reliability management based on a deterministic N-1 criterion are assessed in a case study for a five-node and 24-node test system. The proposed inequality assessment enables system operators and regulating bodies to verify the social acceptability of reliability management approaches and criteria.

show abstract

“…The use of intermittent energy generation, energy storage systems, and other recently emerged technologies results in an augmented uncertainty margin in power grids. Furthermore, the lack of investments in generation and transmission capacity rises the stress put on power grids’ stability which might propagate into reliability issues [1]. Hence, the question is whether currently used grid control techniques, installed with an old‐fashioned power grid in mind, can handle challenges created by the evolutions in power systems in a simple cost‐effective way.…”

Section: Introductionmentioning

confidence: 99%

Testing and validation of wide‐area control of STATCOM using real‐time digital simulator with hybrid HIL–SIL configuration

Musleh

Muyeen

Al‐Durra

et al. 2017

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

Framework for evaluating and comparing performance of power system reliability criteria

Cited by 7 publications

References 0 publications

An online method for MILP co‐planning model of large‐scale transmission expansion planning and energy storage systems considering N‐1 criterion

An online method for MILP co‐planning model of large‐scale transmission expansion planning and energy storage systems considering N‐1 criterion

Fair Reliability Management: Comparing Deterministic and Probabilistic Short-Term Reliability Management

Testing and validation of wide‐area control of STATCOM using real‐time digital simulator with hybrid HIL–SIL configuration

Contact Info

Product

Resources

About