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Optimal operation of hybrid AC/DC microgrids under uncertainty of renewable energy resources: A comprehensive review
The hybrid AC/DC microgrids have become considerably popular as they are reliable,
accessible and robust. They are utilized for solving environmental, economic, operational …
accessible and robust. They are utilized for solving environmental, economic, operational …
Probabilistic optimization techniques in smart power system
Uncertainties are the most significant challenges in the smart power system, necessitating
the use of precise techniques to deal with them properly. Such problems could be effectively …
the use of precise techniques to deal with them properly. Such problems could be effectively …
Optimal scheduling of an isolated microgrid with battery storage considering load and renewable generation uncertainties
By modeling the uncertainty of spinning reserves provided by energy storage with
probabilistic constraints, a new optimal scheduling mode is proposed in this paper for …
probabilistic constraints, a new optimal scheduling mode is proposed in this paper for …
Optimal scheduling of isolated microgrid with an electric vehicle battery swap** station in multi-stakeholder scenarios: A bi-level programming approach via real …
In order to coordinate the scheduling problem between an isolated microgrid (IMG) and
electric vehicle battery swap** stations (BSSs) in multi-stakeholder scenarios, a new bi …
electric vehicle battery swap** stations (BSSs) in multi-stakeholder scenarios, a new bi …
Dynamic energy management of a microgrid using approximate dynamic programming and deep recurrent neural network learning
This paper focuses on economical operation of a microgrid (MG) in real-time. A novel
dynamic energy management system is developed to incorporate efficient management of …
dynamic energy management system is developed to incorporate efficient management of …
Modeling and Planning for Dual-Objective Selective Disassembly Using and/or Graph and Discrete Artificial Bee Colony
Disassembly sequencing is important for remanufacturing and recycling used or discarded
products. AND/OR graphs (AOGs) have been applied to describe practical disassembly …
products. AND/OR graphs (AOGs) have been applied to describe practical disassembly …
[HTML][HTML] Optimal scheduling of micro-energy grid with integrated demand response based on chance-constrained programming
H Wang, H **ng, Y Luo, W Zhang - … Journal of Electrical Power & Energy …, 2023 - Elsevier
The micro-energy grid can meet various load demands and realize the complementary
advantages of different energy sources, which provides a new way to solve the problems of …
advantages of different energy sources, which provides a new way to solve the problems of …
Coordinated optimal bidding strategies methods of aggregated microgrids: A game theory-based demand side management under an electricity market environment
Due to substantial demand of expansion and application of distributed generations and
energy storage systems (ESSs), the operation of microgrids (MGs) has become more flexible …
energy storage systems (ESSs), the operation of microgrids (MGs) has become more flexible …
Optimal bilevel model for stochastic risk-based planning of microgrids under uncertainty
The sharp fluctuations of load consumption and renewable power generation make
significant risks in microgrids (MG) planning problem. In order to handle the risk, this paper …
significant risks in microgrids (MG) planning problem. In order to handle the risk, this paper …
Transient stability augmentation of a wave energy conversion system using a water cycle algorithm-based multiobjective optimal control strategy
HM Hasanien - IEEE Transactions on Industrial Informatics, 2018 - ieeexplore.ieee.org
This paper introduces a novel optimum design of the proportional-integral (PI) controller in
the power converter circuits using the water cycle algorithm (WCA) to augment the transient …
the power converter circuits using the water cycle algorithm (WCA) to augment the transient …