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Trade-Off between Performance and Reliability in Renewable Sources

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Dear Colleagues,

The Guest Editors are inviting submissions to a Special Issue of Energies on the subject area of “Trade-off between performance and reliability in Renewable Sources”. Modeling and control techniques are important for the effective use of renewable energy systems, not only from an energetic efficiency point of view, but also from a reliability one. The maximization of energy production by renewable sources, during their lifetime, represents an interesting topic for power and energy researchers. A new goal is based on the following principle: “the maximization of the extracted power, when it is obtained at the price of too severe stresses, is to be avoided”. It may be preferable to give up part of the available energy today to gain a greater amount of energy tomorrow.

This Special Issue is open to both original research articles covering, but not limited to, these topics:

Renewable sources modeling;
Faults modeling;
Reliability modeling;
Forecasting techniques;
Maximum power point tracking techniques;
Power system control;
Optimization of operation of power systems;
Energy management system;
Control method of power electronics.

Prof. Dr. Pierluigi Guerriero
Prof. Dr. Marco Balato
Prof. Dr. Carlo Petrarca
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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18 pages, 2290 KiB

Open AccessArticle

Optimal Variable Renewable Energy Generation Schedules Considering Market Prices and System Operational Constraints

by Veeraya Imcharoenkul and Surachai Chaitusaney

Energies 2021, 14(17), 5320; https://doi.org/10.3390/en14175320 - 27 Aug 2021

Cited by 2 | Viewed by 1460

Abstract

The maximization of output from variable renewable energy (VRE) sources considering system operational constraints (SOCs) is a traditional method for maximizing VRE generators’ profits. However, in wholesale electricity markets, VRE participation tends to reduce marginal prices (MP) because of its low marginal costs. This circumstance, called the “merit-order effect” (MOE), reduces the generators’ profits. Thus, the traditional method is possibly no longer the best and only method to maximize the generators’ profits. Moreover, the VRE support schemes also affect MP, making MOE more severe. VRE curtailment can relieve MOE, but VRE output must be decreased, thereby reducing the generators’ profits. This paper proposes a method to find the optimal VRE generation schedules that maximize VRE generators’ profits while considering the trade-off among the VRE output, MP, and SOCs. The method combines the merit-order model and the unit-commitment model solved by the optimization tools in MATLAB. Thailand’s electrical system was the test system. The result shows that VRE generators’ profits from the proposed method are significantly higher than from the traditional method when the system has high wind penetration, and the generators have no support scheme. Curtailing approximately 7–10% of wind output can increase the average MP by 23.6–30%. Full article

(This article belongs to the Special Issue Trade-Off between Performance and Reliability in Renewable Sources)

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21 pages, 4714 KiB

Open AccessArticle

Generation Data of Synthetic High Frequency Solar Irradiance for Data-Driven Decision-Making in Electrical Distribution Grids

by Mohammad Rayati, Pasquale De Falco, Daniela Proto, Mokhtar Bozorg and Mauro Carpita

Energies 2021, 14(16), 4734; https://doi.org/10.3390/en14164734 - 04 Aug 2021

Cited by 2 | Viewed by 2124

Abstract

In this paper, we introduce a model representing the key characteristics of high frequency variations of solar irradiance and photovoltaic (PV) power production based on Clear Sky Index (CSI) data. The model is suitable for data-driven decision-making in electrical distribution grids, e.g., descriptive/predictive analyses, optimization, and numerical simulation. We concentrate on solar irradiance data since the power production of a PV system strongly correlates with solar irradiance at the site location. The solar irradiance is not constant due to the Earth’s orbit and irradiance absorption/scattering from the clouds. To simulate the operation of a PV system with one-minute resolution for a specific coordinate, we have to use a model based on the CSI of the solar irradiance data, capturing the uncertainties caused by cloud movements. The proposed model is based on clustering the days of each year into groups of days, e.g., (i) cloudy, (ii) intermittent cloudy, and (iii) clear sky. The CSI data of each group are divided into bins of magnitudes and the transition probabilities among the bins are identified to deliver a Markov Chain (MC) model to track the intraday weather condition variations. The proposed model is tested on the measurements of two PV systems located at two different climatic regions: (a) Yverdon-les-Bains, Switzerland; and (b) Oahu, Hawaii, USA. The model is compared with a previously published N-state MC model and the performance of the proposed model is elaborated. Full article

(This article belongs to the Special Issue Trade-Off between Performance and Reliability in Renewable Sources)

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