scholarly journals The Verification of Temporal KBS: SPARSE - A Case Study in Power Systems

10.5772/5835 ◽  
2008 ◽  
Author(s):  
Jorge Santos ◽  
Zita Vale ◽  
Carlos Serdio ◽  
Carlos Ramos
Keyword(s):  
Power Systems

scholarly journals Taking into Consideration the Inclusion of Wind Generation in Hybrid Microgrids: A Methodology and a Case Study

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4082
Author(s):  
Luis Arribas ◽  
Natalia Bitenc ◽  
Andreo Benech
Keyword(s):  
Power Systems ◽  
Design Process ◽  
Research Community ◽  
Wind Generation ◽  
Generation System ◽  
Economic Barriers ◽  
Wind Generation System

During the last decades, there has been great interest in the research community with respect to PV-Wind systems but figures show that, in practice, only PV-Diesel Power Systems (PVDPS) are being implemented. There are some barriers for the inclusion of wind generation in hybrid microgrids and some of them are economic barriers while others are technical barriers. This paper is focused on some of the identified technical barriers and presents a methodology to facilitate the inclusion of wind generation system in the design process in an affordable manner. An example of the application of this methodology and its results is shown through a case study. The case study is an existing PVDPS where there is an interest to incorporate wind generation in order to cope with a foreseen increase in the demand.

Characterization of Oscillations in Developing Power Systems: The Nigerian Case Study

2021 ◽  
Author(s):  
Nnaemeka Sunday Ugwuanyi ◽  
Uma Uzubi Uma ◽  
Arthur Obiora Ekwue
Keyword(s):  
Power Systems

scholarly journals An Adaptive Load Frequency Control for Power Systems with Renewable Energy Sources

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 573
Author(s):  
Mohamed Mokhtar ◽  
Mostafa I. Marei ◽  
Mariam A. Sameh ◽  
Mahmoud A. Attia
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
System Performance ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Adaptive Controller ◽  
Load Frequency Control ◽  
Energy Sources ◽  
Load Variations

The frequency of power systems is very sensitive to load variations. Additionally, with the increased penetration of renewable energy sources in electrical grids, stabilizing the system frequency becomes more challenging. Therefore, Load Frequency Control (LFC) is used to keep the frequency within its acceptable limits. In this paper, an adaptive controller is proposed to enhance the system performance under load variations. Moreover, the proposed controller overcomes the disturbances resulting from the natural operation of the renewable energy sources such as Wave Energy Conversion System (WECS) and Photovoltaic (PV) system. The superiority of the proposed controller compared to the classical LFC schemes is that it has auto tuned parameters. The validation of the proposed controller is carried out through four case studies. The first case study is dedicated to a two-area LFC system under load variations. The WECS is considered as a disturbance for the second case study. Moreover, to demonstrate the superiority of the proposed controller, the dynamic performance is compared with previous work based on an optimized controller in the third case study. Finally in the fourth case study, a sensitivity analysis is carried out through parameters variations in the nonlinear PV-thermal hybrid system. The novel application of the adaptive controller into the LFC leads to enhance the system performance under disturbance of different sources of renewable energy. Moreover, a robustness test is presented to validate the reliability of the proposed controller.

Simulations of Solar Power Systems to Provide Electricity to a Model Water Desalination Plant in Floreana Island, Ecuador

2021 ◽  
Author(s):  
Fernando Amoroso ◽  
Rubén Hidalgo-León ◽  
Jaqueline Litardo ◽  
Alejandro Granja ◽  
Jackeline Calderón ◽  
...  
Keyword(s):  
Power Systems ◽  
Water Desalination ◽  
Solar Photovoltaic ◽  
Electrical Load ◽  
Pump System ◽  
Desalination Plant ◽  
Cost Of Energy ◽  
Economic Comparison ◽  
Model Water

Abstract This work shows the techno-economic comparison of the design of two solar photovoltaic systems: 1) on-grid (G-SPVS) and 2) off-grid (SPVS). Both schemes aim to supply electricity to a model water desalination plant located in Floreana Island, Ecuador. The annual load profiles and other operational details of the case study were previously obtained. For this research, a period of 15-years was analyzed. During this time, the maximum power of water pump system remained constant and represented the highest percentage of the electrical load, which changed each year influenced by the drinking water requirements of the population. Results from the HOMER PRO simulations showed that the SPVS produced higher surpluses of electricity. In contrast, the G-SPVS exhibited lower net present cost (NPC) and cost of energy (COE).

scholarly journals A Smart Adaptive Switching Module Architecture Using Fuzzy Logic for an Efficient Integration of Renewable Energy Sources. A Case Study of a RES System Located in Hulubești, Romania

2020 ◽  
Vol 12 (15) ◽  
pp. 6084
Author(s):  
Simona-Vasilica Oprea ◽  
Adela Bâra ◽  
Ștefan Preda ◽  
Osman Bulent Tor
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Power Systems ◽  
Electricity Generation ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Weather Conditions ◽  
Energy Sources ◽  
Fuzzy Logic Systems

Electricity generation from renewable energy sources (RES) has a common feature, that is, it is fluctuating, available in certain amounts and only for some periods of time. Consuming this electricity when it is available should be a primary goal to enhance operation of the RES-powered generating units which are particularly operating in microgrids. Heavily influenced by weather parameters, RES-powered systems can benefit from implementation of sensors and fuzzy logic systems to dynamically adapt electric loads to the volatility of RES. This study attempts to answer the following question: How to efficiently integrate RES to power systems by means of sustainable energy solutions that involve sensors, fuzzy logic, and categorization of loads? A Smart Adaptive Switching Module (SASM) architecture, which efficiently uses electricity generation of local available RES by gradually switching electric appliances based on weather sensors, power forecast, storage system constraints and other parameters, is proposed. It is demonstrated that, without SASM, the RES generation is supposed to be curtailed in some cases, e.g., when batteries are fully charged, even though the weather conditions are favourable. In such cases, fuzzy rules of SASM securely mitigate curtailment of RES generation by supplying high power non-traditional storage appliances. A numerical case study is performed to demonstrate effectiveness of the proposed SASM architecture for a RES system located in Hulubești (Dâmbovița), Romania.

scholarly journals The impact of climatic extreme events on the feasibility of fully renewable power systems: A case study for Sweden

Energy ◽  
2019 ◽  
Vol 178 ◽  
pp. 695-713 ◽  
Author(s):  
Stefan Höltinger ◽  
Christian Mikovits ◽  
Johannes Schmidt ◽  
Johann Baumgartner ◽  
Berit Arheimer ◽  
...  
Keyword(s):  
Power Systems ◽  
Extreme Events ◽  
Renewable Power ◽  
The Impact
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