Security constrained optimal power flow in a power system based on energy storage system with high wind penetration

Ebrahimi, Hossein; Abapour, Mehdi; Mohammadi‐Ivatloo, Behnam; Golshannavaz, Sajjad

doi:10.24200/sci.2020.53865.3460

Cited by 3 publications

(4 citation statements)

References 21 publications

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“…Although all scenarios are studied in case 1, the results of only scenarios 2 and 4 are analyzed and discussed in case 1. Moreover, a comparison is established between the results obtained from the central SCOPF model proposed in Reference 37 with the results obtained from the proposed DSCOPF model. The GAMS 38 optimization environment (edition 24.2.1) is used to tackle the proposed model.…”

Section: Results and Analysismentioning

confidence: 99%

“…Therefore, these constraints would be separated into four constraints. Constraints (36) and (37) are used in the case of conventional generators' outage, and constraints (38) and (39) are employed for the outages of the wind turbine generators. Moreover, the probabilistic representation of the security constraints for the line and tie-line outages are presented in (40) to (43).…”

Section: Probabilistic Reformulationmentioning

confidence: 99%

See 1 more Smart Citation

Decentralized approach for security enhancement of wind‐integrated energy systems coordinated with energy storages

Ebrahimi

Abapour

Mohammadi‐Ivatloo

et al. 2021

Intl J of Energy Research

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Summary Wind speed fluctuations in wind‐integrated energy systems render the need for the fast and proper response of the conventional thermal generating units. This is while ramping constraints of these units as the backbone of the traditional power generation cycle depreciate their response, which poses a serious security challenge. This article is aimed at enhancing the security of multiarea wind‐integrated energy systems by the coordinated deployment of energy storage systems (ESSs). To realize a practical model, a probabilistic reformulation of decentralized security‐constrained optimal power flow by taking into account the thermal units' ramping constraints is developed, which tackles the uncertainties of wind speed fluctuations through a proper provision of ramping requirements by ESSs. Moreover, the optimality condition decomposition algorithm is used to solve security‐constrained optimal power flow at each area of the energy system in a decentralized manner. Furthermore, to reduce the computational burden, a contingency filtering approach is employed that filters the uncritical conditions during the solution process. Different scenarios of transmission line and generator outages are explored by linear outage factors, including the line outage distribution factor and the power transfer distribution factor. In the established model, the value of loss of load and the value of wind curtailment factors are employed to reflect the economic impact of load shedding and wind energy curtailment. For supplying the lost power in generation outages, the participation factor of the connected sources is modified, which considers the remained generation capacity of sources. To assess the efficiency of the proposed model, the New England 39‐bus testbed is put under extensive investigation. The results are discussed in depth.

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Section: Results and Analysismentioning

confidence: 99%

Section: Probabilistic Reformulationmentioning

confidence: 99%

Decentralized approach for security enhancement of wind‐integrated energy systems coordinated with energy storages

Ebrahimi

Abapour

Mohammadi‐Ivatloo

et al. 2021

Intl J of Energy Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…Nevertheless, a representation in dollars/kWh is more frequently employed [101]. The reason for the power outage is irrelevant because the VoLL is an economic indicator [102]. VoLL cannot be directly deduced as market performance because, even if it gives the option of expressing the value of power supply security in monetary terms, there is no market on which power interruptions can be exchanged.…”

Section: Economic Losses Due To Non-delivery Of Powermentioning

confidence: 99%

Review on Causes of Power Outages and Their Occurrence: Mitigation Strategies

Salman,

Pasupuleti,

Sabry

2023

Sustainability

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For power plant networks in developing countries like Iraq, balancing electricity demand and generation continues to be a major challenge. Energy management (EM) in either demand-side (DS) or generation-side (GS) strategies, which is frequently utilized in Iraq due to a lack of adequate power generation, has a small impact on the power balancing mechanism. Most previous studies in similar countries discussed only the application of DS strategies. The purpose of this paper is to contrast and review various energy management methodologies being used in developing nations facing power outages, to be able to recommend suitable ones according to the country’s situation. To assess potential EM-based solutions to improve the total energy efficiency of the Iraqi electrical community, a thorough and methodical analysis was carried out. The main objective of this review paper is to discuss the causes of power outages and the energy management strategies addressed here as methods to mitigate or avoid power outages. Unlike existing reviews that concentrated on demand-side energy management, this study specifically focuses on power outage causes in developing countries like Iraq rather than all management strategies. It also introduces the consequences of power outages including analysis of distribution power losses, financial loss from power blackouts, and power blackouts in firms in a typical month. Therefore, it presents readers with state-of-the-art strategies and recommends a generation-based EM strategy to mitigate such issues.

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“…Sustainable electrification renders the need for employing efficient technologies [1]- [2]. In this manner, conservation voltage reduction (CVR) has been well-recognized as a key idea which paves the way to provide sustainable electricity energy.…”

Section: Introductionmentioning

confidence: 99%

Conservation Voltage Reduction Technology Yields Sustainable Electrifications: An Exploratory Study on Implementation Capability

Spertip,

Karbalaei,

Yazdaninejadi

2023

Scientia Iranica

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Conservation voltage reduction (CVR) as a readily available technology can easily tackle line congestion and peak load issues besides meeting the energy conservation by a marginal reduction in voltages of user-end nodes. However, the application of this technology is limited owing to some unclear technical aspects such as its response to industrial loads, load modeling type, and load estimation error. Therefore, this paper aims at presenting a comprehensive analysis of the CVR process to shed light on the various aspects of this technology for operators who seek to implement it. To this end, CVR process is explored based on load composition on a typical feeder with three zones. Different sizes for active and reactive powers in consumers of those zones are taken into consideration. By doing so, not only CVR process with different load arrangements is explored but also effect of the dominant loads on feeders is unveiled. This study also deals with identifying which load modeling type show better robustness to modeling errors. In this manner, CVR process in the pointed cases are performed with a considerable error on the parameters of load models. The obtained results show that in spite of expectations, CVR may have different outputs.

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Security constrained optimal power flow in a power system based on energy storage system with high wind penetration

Cited by 3 publications

References 21 publications

Decentralized approach for security enhancement of wind‐integrated energy systems coordinated with energy storages

Decentralized approach for security enhancement of wind‐integrated energy systems coordinated with energy storages

Review on Causes of Power Outages and Their Occurrence: Mitigation Strategies

Conservation Voltage Reduction Technology Yields Sustainable Electrifications: An Exploratory Study on Implementation Capability

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