Zobrazeno 1 - 10
of 1 161
pro vyhledávání: '"micro-grids"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3221-3233 (2024)
Abstract The variability of renewable energy within microgrids (MGs) necessitates the smoothing of power fluctuations through the effective scheduling of internal power equipment. Otherwise, significant power variations on the tie‐line connecting t
Externí odkaz:
https://doaj.org/article/39aa1e3fb5b64753819007e9f0cfe0ce
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3187-3199 (2024)
Abstract For cooperation among distributed generations in a DC microgrid (MG), distributed control is widely applied. However, the delay in distributed communication will result in steady‐state bias and the risk of instability. This paper proposes
Externí odkaz:
https://doaj.org/article/ac88fb4aa0d74c9591b09c7aa1fa3d08
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 19, Pp 3097-3107 (2024)
Abstract The increasing penetration of the distributed energy resources (DER) in the power grid, which, while having significant advantages, also pose significant challenges. The behaviors of DERs differ from those of synchronous generators, particul
Externí odkaz:
https://doaj.org/article/e07f8d2b6095490c9c39afe28a6fcc27
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 16, Pp 2705-2718 (2024)
Abstract This study employs a sophisticated bi‐level optimization methodology to model the most efficient operation of microgrids (MGs) within the operational framework of distribution companies (DCs). In this bi‐level optimization problem, the u
Externí odkaz:
https://doaj.org/article/6f05b98dcd374bedb553a38c2d9c5708
Autor:
Masoud Shokri, Taher Niknam, Mojtaba Mohammadi, Moslem Dehghani, Pierluigi Siano, Khmaies Ouahada, Miad Sarvarizade‐Kouhpaye
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 14, Pp 2421-2434 (2024)
Abstract Smart cities consist of various energy systems and services that must be optimally scheduled to improve energy efficiency and reduce operation costs. The smart city layout comprises a power distribution system, a thermal energy system, a wat
Externí odkaz:
https://doaj.org/article/0743ccc60fe84da0a7791c08779eb162
Autor:
Kamilu Alabi Sanusi, Hans‐Peter Beck
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 11, Pp 2073-2088 (2024)
Abstract Autonomous microgrid is known to lack appropriate inertia and damping for grid stabilization. Due to this, virtual synchronous machine (VISMA) has been introduced to provide necessary ancillary services through control of power converters. I
Externí odkaz:
https://doaj.org/article/b1f8c127a157449cb02a74dfb166965e
Autor:
Munusamy Arun, Thanh Tuan Le, Debabrata Barik, Prabhakar Sharma, Sameh M. Osman, Van Kiet Huynh, Jerzy Kowalski, Van Huong Dong, Viet Vinh Le
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 105115- (2024)
Installing photovoltaic (PV) systems in buildings is one of the most effective strategies for achieving sustainable energy goals and reducing carbon emissions. However, the requirement for efficient energy management, the fluctuating energy demands,
Externí odkaz:
https://doaj.org/article/b4e9ec387f7141fbb3bf924b4d74d7c1
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 160, Iss , Pp 110117- (2024)
Peer-to-Peer (P2P) energy trading between Interconnected Micro-Grids (IMGs) presents a promising approach for enhancing the economic advantages for prosumers while mitigating supply–demand imbalances within individual Micro-Grids (MGs). This paper
Externí odkaz:
https://doaj.org/article/79790ec221af4c4c9ced2608c49696b9
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 10, Pp 2020-2028 (2024)
Abstract For the problem that traditional droop control cannot maintain the maximum output power of photovoltaic (PV) units, this work proposes a self‐adaptive communication‐free control scheme for the islanded PV‐storage AC microgrids. The pro
Externí odkaz:
https://doaj.org/article/464e6562862445a5bb4d3651a64f25ab
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 9, Pp 1919-1934 (2024)
Abstract A machine learning‐based optimized droop method is suggested here to simultaneously reduce the production cost (PC) and power line losses (PLL) for a class of direct current (DC) microgrids (MGs). Traditionally, a communication‐less tech
Externí odkaz:
https://doaj.org/article/7e835cfba9d24c669475afa75e509a7b