Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Solar power stations and photovoltaic power systems"'
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 11, Pp 2292-2312 (2022)
Abstract Parameter estimation for solar photovoltaic (PV) models is a challenging issue due to the complex nonlinear multivariable of the current‐voltage and power‐voltage characteristics. In this article, an improved heap‐based algorithm (IHBA
Externí odkaz:
https://doaj.org/article/bb641167218746cf8b1580a71646fd49
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 11, Pp 2384-2401 (2022)
Abstract The increase in penetration of large‐scale renewable generation significantly affects power system characteristics. Thus, it is necessary to assess the steady state and dynamic performance of a power system for different installing scenari
Externí odkaz:
https://doaj.org/article/08874e815f3741688d36e7bc2b524a8c
Autor:
Zahid Ullah, Nayyar Hussain Mirjat
Publikováno v:
Energy Conversion and Economics, Vol 3, Iss 1, Pp 11-19 (2022)
Abstract This study provides an overview of virtual power plants as aggregated flexibility service providers in distribution systems. The integration of photovoltaic energy sources increases uncertainty regarding the operation of distribution grids,
Externí odkaz:
https://doaj.org/article/6731b7a2fc114a24961eb8ff7a4a5caf
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 3, Pp 535-547 (2022)
Abstract This paper presents a practical optimal planning of solar photovoltaic (SPV) and battery storage system (BSS) for electric vehicle (EV) owner households with time of use (TOU) electricity pricing. The main aim of the optimisation problem is
Externí odkaz:
https://doaj.org/article/92222b5af77644e48d3ce105770352aa
Autor:
Jéssica Pederneiras Moraes Rocha, Fabiano Salvadori, Lucas Vinícius Hartmann, Gustavo Malagoli Buiatti, Italo Roger Ferreira Moreno Pinheiro da Silva, Camila Seibel Gehrke
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 2, Pp 257-266 (2022)
Abstract The constant growth of distributed energy resource (DER) in the electric power system (EPS) is a reality on account of some aspects, for example, technical, financial, environmental. The insertion of DERs can be positive, providing ancillary
Externí odkaz:
https://doaj.org/article/15545950ef4a47ccb9ec4aeb9528915e
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 1, Pp 57-70 (2022)
Abstract Renewable‐dominant mixtures with hydrogeneration and variable renewable energies (VREs) have been the focus for decarbonization of power systems. Hydrogeneration with large reservoir becomes the main regulating source. The long‐term gene
Externí odkaz:
https://doaj.org/article/dceaeca1e050433981c1aba33f0b5773
Autor:
Pavlos Nikolaidis, Andreas Poullikkas
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 1, Pp 92-104 (2022)
Abstract Under the constraints of fossil‐fuel reserves depletion and climate change, the expansion of intermittent renewable generation creates a lot of power integration issues which undeniably disturb the overall system stability. Optimally plann
Externí odkaz:
https://doaj.org/article/50d714f98b6f41dfa651fad103544c0b
Publikováno v:
IET Renewable Power Generation, Vol 15, Iss 16, Pp 3927-3940 (2021)
Abstract DC/DC converters are ubiquitous in renewable energies such as photovoltaic power systems. A novel and general approach is proposed that consists of three matching principles, which enables one to assign a best set of energy storage elements
Externí odkaz:
https://doaj.org/article/c7929183dde54a33963ec84e6b47762f
Autor:
Ankur Srivastava, David Steen, Le Anh Tuan, Ola Carlson, Ioannis Bouloumpasis, Quoc‐Tuan Tran, Lucile Lemius
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 23, Pp 3345-3359 (2021)
Abstract This paper presents a novel DSO support tool with visualisation capability for forecasting network congestion in distribution systems with a high level of renewables. To incorporate the uncertainties in the distribution systems, the probabil
Externí odkaz:
https://doaj.org/article/1c8c0e5e298b4415a6504348e731e4dc
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 24, Pp 3400-3422 (2021)
Abstract This paper proposes an application of the recent metaheuristic rider optimization algorithm (ROA) for determining the optimal size and location of renewable energy sources (RES) including wind turbine (WT), photovoltaic (PV), and biomass‐b
Externí odkaz:
https://doaj.org/article/462a4f4d05ec4747b67e8531ae42295b