scholarly journals Verification of Utility-Scale Solar Photovoltaic Plant Models for Dynamic Studies of Transmission Networks

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3191
Author(s):  
Ram Machlev ◽  
Zohar Batushansky ◽  
Sachin Soni ◽  
Vladimir Chadliev ◽  
Juri Belikov ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Frequency Response ◽  
Power Plants ◽  
Large Scale ◽  
Dynamic Models ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Solar Photovoltaic ◽  
Transmission Networks ◽  
Dynamic Phenomena

In recent years, there has been a growing need for accurate models that describe the dynamics of renewable energy sources, especially photovoltaic sources and wind turbines. In light of this gap, this work focuses on the validation of standard dynamic models developed by the Western Electricity Coordinating Council (WECC), using actual measurements from the Western Texas and Southern California transmission networks. The tests are based on the North American Electric Reliability Corporation compliance standards and include dynamic stability tests for volt-varcontrol and primary frequency response. Through an extensive set of field tests, we show that the WECC generic models can be used to simulate real dynamic phenomena in large-scale solar photovoltaic power plants, and we propose guidelines for correct usage of these models. The results show that the WECC models are especially accurate when the photovoltaic system is connected with a low impedance to the main network. We also show that the tested WECC models successfully predict the frequency response of an actual grid event that occurred in the Electric Reliability Council of Texas and which resulted in a loss of nearly 1.365 GW. This result supports the use of these models in the study of large-scale dynamic phenomena that include renewable energy sources.

scholarly journals Methodical approaches to energy supply with usage of renewable energy sources on objects of transport infrastructure of federal importance

2018 ◽  
Vol 245 ◽  
pp. 15005 ◽  
Author(s):  
Vyacheslav Shestakov ◽  
Olga Novikova ◽  
Artem Melnichenko ◽  
Anastasia Luchnikova
Keyword(s):  
Renewable Energy ◽  
Energy Supply ◽  
Power Plants ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Transport Infrastructure ◽  
Energy Sources ◽  
Positive Effects ◽  
Potential Possibility ◽  
Methodological Approaches

In this article we consider the potential possibility of using renewable energy sources for the construction of transport infrastructure facilities of the Federal importance. We analyzed major promising projects for the construction of roads and bridges for the period until 2030 year, considered a step-by-step scheme for energy supply of a large facility, using the example of the Kerch bridge, and made an analysis of the potential usage of hybrid power plants based on renewable energy sources for the implementation of projects. We developed methodological approaches to the implementation of large-scale projects that would allow one to take into account not only economic efficiency, but all the positive effects that can be achieved from the project.

scholarly journals Opportunities and Challenges of Flexible Electricity-Based Fuel Production for the European Power System

2020 ◽  
Vol 12 (23) ◽  
pp. 9844
Author(s):  
Maximilian Borning ◽  
Larissa Doré ◽  
Michael Wolff ◽  
Julian Walter ◽  
Tristan Becker ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Carbon Dioxide Emissions ◽  
Power Plants ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Fuel Production ◽  
Climate Neutrality ◽  
The Impact

To mitigate global warming, the European Union aims at climate neutrality by 2050. In order to reach this, the transportation sector has to contribute especially, which accounts for about a quarter of the European greenhouse gas emissions. Herein, electricity-based fuels are a promising approach for reducing emissions. However, a large-scale deployment of electricity-based fuels has a significant impact on the power system due to high electricity demand and the requirement to use renewable energy sources in order to be sustainable. At the same time, this fuel production could offer additional flexibility for the power system. This article investigates the opportunities and challenges of electricity-based fuels and flexible electricity-based fuel production for the European power system. In a literature analysis, the pivotal role of electricity-based fuels for climate neutrality is confirmed. To analyze the impact of flexible fuel production, European power market simulations for the year 2035 are conducted. Results indicate that flexibilization leads to an increased integration of electricity based on renewable energy sources as well as reductions in both carbon dioxide emissions and total operational costs of the power system. However, very high flexibility levels also benefit high-emission power plants and may even lead to increased emissions.

Probabilistic Assessment of Power Systems with Renewable Energy Sources based on an Improved Analytical Approach

2021 ◽  
Vol 10 (4) ◽  
pp. 811-818
Author(s):  
Duong Dinh Le ◽  
Duong Van Ngo ◽  
Nhi Thi Ai Nguyen ◽  
Ky Van Huynh
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Random Variables ◽  
Test System ◽  
Energy Sources ◽  
Probabilistic Assessment ◽  
Solar Photovoltaic ◽  
Clustering Technique

The increasing penetration of renewable energy sources has introduced great uncertainties and challenges into computation and analysis of electric power systems. To deal with uncertainties, probabilistic approaches need to be used. In this paper, we propose a new framework for probabilistic assessment of power systems taking into account uncertainties from input random variables such as load demands and renewable energy sources. It is based on the cumulant-based Probabilistic Power Flow (PPF) in combination with an improved clustering technique. The improved clustering technique is also developed in this study by making use of Principal Component Analysis (PCA) and Particle Swarm Optimization (PSO) to reduce the range of variation in the input data, thus increasing the accuracy of the traditional cumulant-based PPF (TCPPF) method. In addition, thanks to adopting PCA for dimensionality reduction, the improved clustering technique can be effectively dealt with a large number of input random variables so that the proposed framework for probabilistic assessment can be applied for large power systems. The IEEE-118 bus test system is modified by adding five wind and eight solar photovoltaic power plants to examine the proposed method. Uncertainties from input random variables are represented by appropriate probabilistic models. Extensive testing on the test system indicates good performance of the proposed approach in comparison to the traditional cumulant-based PPF and Monte Carlo simulation. The IEEE-118 bus test system is modified by adding five wind and eight solar photovoltaic power plants to examine the proposed method. Extensive testing on the test system, using Matlab (R2015a) on an Intel Core i5 CPU 2.53 GHz/4.00 GB RAM PC, indicates good performance of the proposed approach (PPPF) in comparison to the TCPPF and Monte Carlo simulation (MCS): In terms of computation time, PPPF needs 4.54 seconds, while TCPPF and MCS require 2.63 and 251 seconds, respectively; ARMS errors are calculated for methods using benchmark MCS and their values clearly demonstrate the higher accuracy of PPPF in estimating probability distributions compared to TCPPF, i.e., the maximum (Max) and mean (Mean) values of ARMS errors of all output random variables are: ARMSPPPFmax = 0.11%, ARMSTCPPFmax = 0.55%, and ARMSPPPFmean = 0.06%, ARMSTCPPFmean  = 0.35%.

OPTIMASI KUALITAS DAYA HIBRID TURBIN ANGIN DAN PHOTOVOLTAIC

2019 ◽  
Vol 11 (1) ◽  
pp. 1095
Author(s):  
Zainal Abidin
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Wind Turbine ◽  
Carbon Emissions ◽  
Electricity Generation ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Green Technology ◽  
Energy Sources ◽  
Solar Photovoltaic

In order to decrease fuel emissions as a staple of electricity generation, renewable energy is one of the choices in the context of green technology. Wind and solar energy are several choices of renewable energy sources that can be used as environmentally friendly power plants without carbon emissions and are cheap. The application of wind turbine and solar photovoltaic hybrids is mostly carried out in several countries, especially in the fulfillment of isolated land. The HOMER application is one application that can be used to simulate wind turbine and photovoltaic hybrids.

scholarly journals Analyzing Trade in Continuous Intra-Day Electricity Market: An Agent-Based Modeling Approach

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3860
Author(s):  
Priyanka Shinde ◽  
Ioannis Boukas ◽  
David Radu ◽  
Miguel Manuel de Manuel de Villena ◽  
Mikael Amelin
Keyword(s):  
Renewable Energy ◽  
Electricity Market ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Agent Based Modeling ◽  
Market Liquidity ◽  
Energy Sources ◽  
Modeling Framework ◽  
Agent Based

In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market. In this paper, we propose an agent-based modeling framework to analyze the behavior and the interactions between renewable energy sources, consumers and thermal power plants in the European Continuous Intra-day (CID) market. Additionally, we propose a novel adaptive trading strategy that can be used by the agents that participate in CID market. The agents learn how to adapt their behavior according to the arrival of new information and how to react to changing market conditions by updating their willingness to trade. A comparative analysis was performed to study the behavior of agents when they adopt the proposed strategy as opposed to other benchmark strategies. The effects of unexpected outages and information asymmetry on the market evolution and the market liquidity were also investigated.

scholarly journals Sizing and Management of Energy Storage Systems in Large-Scale Power Plants Using Price Control and Artificial Intelligence

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3296
Author(s):  
Carlos García-Santacruz ◽  
Luis Galván ◽  
Juan M. Carrasco ◽  
Eduardo Galván
Keyword(s):  
Energy Storage ◽  
Power Plants ◽  
Large Scale ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Ancillary Services ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Electric System ◽  
Fundamental Part

Energy storage systems are expected to play a fundamental part in the integration of increasing renewable energy sources into the electric system. They are already used in power plants for different purposes, such as absorbing the effect of intermittent energy sources or providing ancillary services. For this reason, it is imperative to research managing and sizing methods that make power plants with storage viable and profitable projects. In this paper, a managing method is presented, where particle swarm optimisation is used to reach maximum profits. This method is compared to expert systems, proving that the former achieves better results, while respecting similar rules. The paper further presents a sizing method which uses the previous one to make the power plant as profitable as possible. Finally, both methods are tested through simulations to show their potential.

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