A multilevel optimization approach for daily scheduling of combined heat and power units with integrated electrical and thermal storage

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 250, P. 123729 - 123729

Published: March 22, 2024

Language: Английский

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Energy management of multi-microgrids with renewables and electric vehicles considering price-elasticity based demand response: A bi-level hybrid optimization approach

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104908 - 104908

Published: Sept. 10, 2023

Language: Английский

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Networked Microgrids: A Review on Configuration, Operation, and Control Strategies

Energies, Journal Year: 2024, Volume and Issue: 17(3), P. 715 - 715

Published: Feb. 2, 2024

The increasing impact of climate change and rising occurrences natural disasters pose substantial threats to power systems. Strengthening resilience against these low-probability, high-impact events is crucial. proposition reconfiguring traditional systems into advanced networked microgrids (NMGs) emerges as a promising solution. Consequently, growing body research has focused on NMG-based techniques achieve more resilient system. This paper provides an updated, comprehensive review the literature, particularly emphasizing two main categories: microgrids’ configuration control. study explores key facets NMG configurations, covering formation, distribution, operational considerations. Additionally, it delves control features, examining their architecture, modes, schemes. Each aspect reviewed based problem modeling/formulation, constraints, objectives. examines findings highlights gaps, focusing elements such frequency voltage stability, reliability, costs associated with remote switches communication technologies, overall network. On that basis, unified problem-solving approach addressing both aspects stable reliable NMGs proposed. article concludes by outlining potential future trends, offering valuable insights for researchers in field.

Language: Английский

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Risk-driven optimal scheduling of renewable-oriented energy hub under demand response program and energy storages: A novel Entropic value-at-risk modeling

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105448 - 105448

Published: April 22, 2024

Language: Английский

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Performance analysis and optimization in renewable energy systems: a bibliometric review

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(3)

Published: Feb. 25, 2025

Language: Английский

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Multi-Microgrid Energy Management Strategy Based on Multi-Agent Deep Reinforcement Learning with Prioritized Experience Replay

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(5), P. 2865 - 2865

Published: Feb. 23, 2023

The multi-microgrid (MMG) system has attracted more and attention due to its low carbon emissions flexibility. This paper proposes a multi-agent reinforcement learning algorithm for real-time energy management of an MMG. In this problem, the MMG is connected distribution network (DN). operator (DSO) each microgrid (MG) are modeled as autonomous agents. Each agent makes decisions suit interests based on local information. decision-making problem multiple agents Markov game solved by prioritized deep deterministic policy gradient (PMADDPG), where only observation required make decisions, centralized training mechanism applied learn coordination strategy, experience replay (PER) strategy adopted improve efficiency. proposed method can deal with non-stationary problems in process partial observable execution stage, all trained deployed distributed manner real time. Simulation results show that according method, accelerated, optimal

Language: Английский

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Clean cooking technologies, information, and communication technology and the environment

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(48), P. 105646 - 105664

Published: Sept. 16, 2023

Language: Английский

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Economic Dispatch in Microgrid with Battery Storage System using Wild Geese Algorithm

Green Energy and Intelligent Transportation, Journal Year: 2025, Volume and Issue: unknown, P. 100263 - 100263

Published: Jan. 1, 2025

Language: Английский

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Stochastic risk-embedded energy management of a hybrid green residential complex based on downside risk constraints considering home crypto miners, adaptive parking lots and responsive loads: A real case study

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 95, P. 104589 - 104589

Published: April 14, 2023

Language: Английский

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Optimized allocation of microgrids’ distributed generations and electric vehicle charging stations considering system uncertainties by clustering algorithms

IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: 18(11), P. 1798 - 1818

Published: July 9, 2024

Abstract The reliability‐oriented optimized sizing and placement of electric vehicle (EV) charging stations (EVCSs) has received less attention. In addition, the literature review shows that a research gap exists regarding clustering‐based method to optimize allocation DGs EVCSs, considering system uncertainties. This article tries fill such knowledge by proposing new EVs simultaneously, uncertainties EV behaviours stochastic renewable DGs. Developing model for using clustering algorithm is one essential contributions. uncertain parameters, e.g. loads based on owners’ (arrival time, departure driving distance) DGs, would be clustered. proposed could solve execution time challenges Monte Carlo simulation‐based approaches concern smart grids. simultaneously optimal protection equipment, another main contribution. IEEE 33‐bus test studied examine introduced method. Simulation results imply 1.45% accuracy improvement obtained compared available analytical ones, while its appropriate.

Language: Английский

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