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Stand-alone power system

About: Stand-alone power system is a research topic. Over the lifetime, 8650 publications have been published within this topic receiving 192397 citations. The topic is also known as: Stand-alone photovoltaic power system.


Papers
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Journal ArticleDOI
01 Jul 2016-Energy
TL;DR: In this article, a hybrid wind/solar/fuel cell power plant is designed and a possible power management strategy is proposed, where a pure-hydrogen-fueled fuel cell with hydrogen produced by means of an electrolyzer recovering excess power and a battery pack are employed to fulfill the power demand, when the power supplied by the renewable sources is not sufficient.

79 citations

Journal ArticleDOI
Zhiwei Yang1, Zhe Wang1, Ran Peng1, Zheng Li1, Weidou Ni1 
TL;DR: In this paper, a novel hybrid thermal-compressed air energy storage (HTCAES) was proposed on the basis of AA-CAES, which can reduce abandoned wind power and improve the financial return per capital cost of the system by increasing power output.

79 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a new system configuration for integrating a grid-connected photovoltaic (PV) system together with a self-supported dynamic voltage restorer (DVR).
Abstract: This paper presents a new system configuration for integrating a grid-connected photovoltaic (PV) system together with a self-supported dynamic voltage restorer (DVR). The proposed system termed as a “six-port converter,” consists of nine semiconductor switches in total. The proposed configuration retains all the essential features of normal PV and DVR systems while reducing the overall switch count from twelve to nine. In addition, the dual functionality feature significantly enhances the system robustness against severe symmetrical/asymmetrical grid faults and voltage dips. A detailed study on all the possible operational modes of six-port converter is presented. An appropriate control algorithm is developed and the validity of the proposed configuration is verified through extensive simulation as well as experimental studies under different operating conditions.

79 citations

Journal ArticleDOI
TL;DR: Techno-economic analysis of various stand-alone power systems for the remote base station on an Adriatic island is made and levelized cost of electricity point of view still gives slight advantage to the diesel generators.

79 citations

Journal ArticleDOI
TL;DR: In this paper, a particle swarm optimization (PSO) algorithm was proposed for an optimized design of grid-dependent hybrid photovoltaic-wind energy systems, which uses the actual hourly data of wind speeds, solar radiation, temperature, and electricity demand in a certain location.
Abstract: Recently, with the stringent environmental regulations and shortage fossil-fuel reserve, power generation based on renewable energy sources is seen as a promising solution for future generation systems. A combination of these sources with an optimized configuration can face the climate change obstacles, permit better reliability, and reduce the cost of the generated energy. This paper presents a proposed particle swarm optimization (PSO) algorithm for an optimized design of grid-dependent hybrid photovoltaic-wind energy systems. This algorithm uses the actual hourly data of wind speeds, solar radiation, temperature, and electricity demand in a certain location. The PSO algorithm is employed to obtain the minimum cost of the generated energy while matching the electricity supply with the local demand with particular reliability index. The algorithm has been tested by considering a real case study used the actual situation to supply the electricity demand from utility grid at electricity market prices to estimate how significant are the cost saving compared to the actual situation costs. Results showed that the proposed algorithm responds well to changes in the system parameters and variables while providing a reliable sizing solution.

79 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202388
2022188
20213
20208
20196
201843