A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems DOI Creative Commons
Peyman Afzali, Seyed Amir Hosseini, Saeed Peyghami

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 12042 - 12042

Published: Dec. 23, 2024

The increasing integration of renewable energy sources (RESs) into power systems has introduced new complexities due to the inherent variability and uncertainty these sources. In addition in RES generation, demand-side load is also subject fluctuations, further complicating system operations. Addressing challenges requires effective modeling assessment techniques quantify mitigate risks associated with uncertainties. This paper evaluates impact various on reliability wind farm integration. Furthermore, this reviews state art risk systems. Through a detailed case study, performance uncertainties speeds analyzed. Based results, turbines improves system’s overall when there reduction conventional plants (CPPs)’ which are dispatchable providing stable flexible supply. However, generation farms uncertainty. results show Monte Carlo simulation combined K-Means method consistently more accurate model for speeds, closely aligning real-case scenarios, compared other methods such as Markov Chain (MCMC), robust optimization (RO), information-gap decision theory (IGDT).

Language: Английский

Optimal scheduling of electricity-hydrogen-thermal integrated energy system with P2G for source-load coordination under carbon market environment DOI

Leidan Chen,

Kezhen Liu, Kai Zhao

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 2269 - 2276

Published: Feb. 5, 2025

Language: Английский

Citations

1
Optimal allocation of customer energy storage based on power big data and improved LSTM load forecasting DOI Creative Commons

Limeng Wang,

Yang Qu, Shuo Wang

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 3902 - 3913

Published: March 29, 2024

This research explores the potential of energy storage investment with a focus on regional power users. An incentive-based demand response framework is constructed, emphasizing aggregation demand-side resources for active participation in market. Utilizing data-driven approach, improved Long Short Term Memory (LSTM) model employed to predict customer behavior incentives. The primary objective maximize life cycle benefit while minimizing payback period users investing storage. By harnessing big data analytics, suitable are identified and optimal capacity allocation determined. Given current parameters dynamics electricity pricing, boundary values profitable user capacities derived. methodology filters exceeding these thresholds, marking them as candidates deployment. Furthermore, measurement iron phosphate batteries introduced. Analysis adjustable resource capacity, duration, benefits provides insights into strategies. Integrating configured time-of-use tariffs substantially reduces costs, leading enhanced economic efficiency.

Language: Английский

Citations

6
Accelerating the low-carbon transition: Technological advancements and challenges for the sustainable development of energy, water, and environment systems DOI Creative Commons
Giovanni Francesco Giuzio, Cesare Forzano, Giovanni Barone

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 4676 - 4687

Published: April 26, 2024

This editorial explores the contributions of papers collected in virtual special issue Energy Reports dedicated to series Conferences on Sustainable Development Energy, Water and Environment Systems held Paphos (Cyprus), São Paulo (Brazil), Vlorë (Albania) 2022. Within this article collections, 13 accepted address key research topics aligned with focus SDEWES conferences, such as energy, water, environmental systems, thereby fulfilling aim scope Reports. Since 2002, Water, (SDEWES) serve a platform for fostering inter-sectoral collaborations among scientists worldwide individuals keen delving into sustainable development showcase advancements engage discussions regarding current trends, future trajectories development. In 2022, conference brought together approximately about 800 scientists, researchers, experts from more than 55 Countries. Based published 2022 – 5th SEE SDEWES, 3rd LA 17th is organized several sections covering VSI primary that encompass innovative renewable energy technologies, design solutions buildings communities, simulation tools green fuels, based technologies. Detailed latest technological challenges accelerate transitions are here presented.

Language: Английский

Citations

4
A novel multi-period proactive flexible load management strategy for low-cost off-grid green methanol production DOI
Mingqi Bai,

Shangzhi Liu,

Meng Qi

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135446 - 135446

Published: March 1, 2025

Language: Английский

Citations

0
Cooperative stochastic energy management of networked energy hubs considering environmental perspectives DOI Creative Commons
Saeed Akbari, Hamed Hashemi‐Dezaki, João Martins

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 1638 - 1654

Published: Aug. 1, 2024

Language: Английский

Citations

2
Assessing Voltage Stability in Distribution Networks: A Methodology Considering Correlation among Stochastic Variables DOI Creative Commons
Yuan Gao, Sheng Li,

Xiangyu Yan

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(15), P. 6455 - 6455

Published: July 24, 2024

Distributed photovoltaic (PV) output exhibits strong stochasticity and weak adjustability. After being integrated with the network, its interaction stochastic loads increases difficulty of assessing distribution network’s static voltage stability (SVS). In response to this issue, article presents a probabilistic assessment method for SVS in network distributed PV that considers bilateral uncertainties correlations on source load sides. The models uncertain variables are established, correlation between described using Copula function. three-point estimate (3PEM) based Nataf transformation is used generate correlated samples. Continuous power flow (CPF) calculations then performed these samples obtain system’s critical state. curves margin index (LMI) fitted Cornish-Fisher series. Finally, utility function introduced establish degree risk instability under different scenarios, completed. IEEE 33-node system utilized test presented, results across various scenarios highlight method’s effectiveness.

Language: Английский

Citations

1
Optimizing energy hubs with a focus on ice energy storage: a strategic approach for managing cooling, thermal, and electrical loads via an advanced slime mold algorithm DOI Creative Commons
Tao Hai,

Hayder Oleiwi Shami,

S Saleh

et al.

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 2568 - 2579

Published: Jan. 1, 2024

Abstract Amidst the increasing incorporation of multicarrier energy systems in industrial sector, this article presents a detailed stochastic methodology for optimal operation and daily planning an integrated system that includes renewable sources, adaptive cooling, heating, electrical loads, along with ice storage capabilities. To address problem, it applies 2 m + 1 point estimation method to accurately assess uncertainties while minimizing computational complexity. The “2 point” technique swiftly evaluates unpredictability through Taylor series calculations, capturing deviations green output, demand both electric thermal across power networks, also considering oscillating costs associated senior transmission systems. In addition, proposes novel self-adaptive optimization technique, called enhanced mucilaginous fungus algorithm (SMSMA), dedicated overcoming intricate nonlinear challenges inherent system. advanced strategy relies on wavelet theory enhance capability effectiveness original optimizing schedules Numerical analyses demonstrate introduced scheduling framework, coupled SMSMA algorithm, effectively reduces operating

Language: Английский

Citations

0
Optimizing energy management in distribution systems using PSO and scenario analysis: insights from CHP, wind, and NG integration DOI
Guangqiang Wu

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

Language: Английский

Citations

0
A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems DOI Creative Commons
Peyman Afzali, Seyed Amir Hosseini, Saeed Peyghami

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 12042 - 12042

Published: Dec. 23, 2024

The increasing integration of renewable energy sources (RESs) into power systems has introduced new complexities due to the inherent variability and uncertainty these sources. In addition in RES generation, demand-side load is also subject fluctuations, further complicating system operations. Addressing challenges requires effective modeling assessment techniques quantify mitigate risks associated with uncertainties. This paper evaluates impact various on reliability wind farm integration. Furthermore, this reviews state art risk systems. Through a detailed case study, performance uncertainties speeds analyzed. Based results, turbines improves system’s overall when there reduction conventional plants (CPPs)’ which are dispatchable providing stable flexible supply. However, generation farms uncertainty. results show Monte Carlo simulation combined K-Means method consistently more accurate model for speeds, closely aligning real-case scenarios, compared other methods such as Markov Chain (MCMC), robust optimization (RO), information-gap decision theory (IGDT).

Language: Английский

Citations

0