Results 191 to 200 of about 123,459 (289)
Economic dispatch of multimicrogrid interconnected system based on bilevel robust optimization. [PDF]
Kang R, Ren Y, Miao S, Zhang K.
europepmc +1 more source
This paper proposes a two‐layer, multi‐objective hybrid optimization model for low‐carbon planning in integrated energy systems. By considering uncertainty scenarios, the model simultaneously minimizes costs, greenhouse gas emissions and groundwater extraction.
Hamid Karimi, Hamid Reza Sezavar
wiley +1 more source
Enhancing microgrid resilience through integrated grid-forming and grid-following inverter strategies for solar PV battery control and fault ride-through. [PDF]
Hossain MI +6 more
europepmc +1 more source
To enhance multi‐energy load forecasting accuracy crucial for Integrated Energy System (IES) planning and control, this study proposes the EI2 (Efficient Information Extracting Informer) model. This transformer‐based approach features a shared encoder, incorporates high‐dimensional MLP layers in encoder/decoder feed‐forward networks for deeper pattern ...
Tianlu Gao +7 more
wiley +1 more source
New flexible bidirectional converter for electric vehicle substations connecting microgrids. [PDF]
Vinh NT, Nguyen VT, Van Dung N, Vu HS.
europepmc +1 more source
This paper presents a mixed integer linear programming (MILP) model for coordinated placement and sizing of distributed energy resources (DERs) (including dispatchable and renewable DG units and energy storage units in a multi‐microgrid system). DERs’ investment and operating costs in normal and emergency conditions, as well as interrupted energy cost ...
Hossein Farzin, Ali Kamaie, Mehdi Monadi
wiley +1 more source
Optimal operation of distributed generation and storage systems in microgrids under real-time pricing using biogeography-based optimization algorithm. [PDF]
Ahmed EM +6 more
europepmc +1 more source
This paper proposes a mean‐guided elite selection genetic algorithm (MGES‐GA) for bi‐objective optimisation of grid‐connected microgrids, minimising both operational costs and voltage deviation. MGES‐GA improves the selection process by considering both high‐performing and low‐performing individuals to balance exploration and exploitation.
Natasha Dimishkovska Krsteski +1 more
wiley +1 more source

