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Energies
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Operation and Planning of Integrated Renewable Energy Systems
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Operation and Planning of Integrated Renewable Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 5882

Special Issue Editor

Prof. Dr. Josiah Munda

E-Mail Website
Guest Editor
Department of Electrical Engineering, Tshwane University of Technology (TUT), Pretoria, South Africa
Interests: intelligent controllers and energy management; power converters and control; power electronics for energy access; electrical machines and motor drives; distributed generation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “Operation and Planning of Integrated Renewable Energy Systems”. Optimization and control techniques are important factors to consider for the efficient use of energy systems. There have been many emerging techniques in the planning and operation of power systems and energy systems in recent years. Integration of energy systems is becoming more pronounced, especially within regions and across power pools. This brings about the need to consider a number of issues, such as system security, condition monitoring, power markets, and so on. The Internet of Things (IoT) and Artificial Intelligence (AI) are also interesting topics for power and energy researchers.

This Special Issue will deal with novel optimization and emerging technologies for integrated and energy systems. Topics of interest for publication include but are not limited to:

  • Distributed generation systems;
  • Energy system planning;
  • Optimal operation of integrated energy systems;
  • Control of energy storage systems;
  • Energy management systems;
  • Optimal operation of renewable energy systems;
  • Condition monitoring;
  • Self-healing integrated energy systems;
  • Energy system security;
  • Energy efficiency and demand side management;
  • Distributed energy market trends;
  • IoT and AI in integrated energy systems;
  • Socioeconomic imperatives;
  • Environmental impacts.

Prof. Dr. Josiah Munda
Guest Editor

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.

Keywords

  • planning
  • integrated systems
  • renewable energy
  • distributed generation
  • condition monitoring
  • security
  • optimization

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Published Papers (4 papers)

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Research

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25 pages, 2949 KiB  
Article
Optimal Allocation of Distributed Thyristor Controlled Series Compensators in Power System Considering Overload, Voltage, and Losses with Reliability Effect
by Mohsen Khalili, Touhid Poursheykh Aliasghari, Ebrahim Seifi Najmi, Almoataz Y. Abdelaziz, A. Abu-Siada and Saber Arabi Nowdeh
Energies 2022, 15(20), 7478; https://doi.org/10.3390/en15207478 - 11 Oct 2022
Cited by 4 | Viewed by 1416
Abstract
In this paper, optimal allocation of a distributed thyristor-controlled series compensator (DTCSC) in a power system is presented to minimize overload, voltage deviations, and power losses while improving system reliability. The decision variable was defined as the optimal reactance of the DTCSC in [...] Read more.
In this paper, optimal allocation of a distributed thyristor-controlled series compensator (DTCSC) in a power system is presented to minimize overload, voltage deviations, and power losses while improving system reliability. The decision variable was defined as the optimal reactance of the DTCSC in the power system, which was determined using a new meta-heuristic algorithm named the improved equilibrium optimization algorithm (IEOA). A nonlinear inertia weight reduction strategy was used to improve the performance of traditional EOA in preventing premature convergence and facilitate a quick global optimum solution. The effect of system critical line outage was evaluated for each of the considered goals. To evaluate the effectiveness of the proposed methodology, IEOA capability was compared with particle swarm optimization (PSO) and manta ray foraging optimizer (MRFO) methods. Simulations were carried out considering different scenarios on 14- and 118-bus test systems. The results showed that, for all scenarios, optimal allocation of DTCSC could result in a significant reduction in overloading, voltage deviation of network buses, as well as power losses under the condition of line outage, due to the optimal injection of reactive power. In all investigated scenarios, our results attested to the superiority of the IEOA over the traditional EOA, PSO, and MRFO in achieving a better value for the objective function. In addition, the results showed that improving reliability in the objective function could eliminate overloading, and hence, introduce further improvement in each of the objectives. Full article
(This article belongs to the Special Issue Operation and Planning of Integrated Renewable Energy Systems)
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33 pages, 8102 KiB  
Article
Optimization and Control of Renewable Energy Integrated Cogeneration Plant Operation by Design of Suitable Energy Storage System
by Ankem V. R. N. B. Manikyala Rao and Amit Kumar Singh
Energies 2022, 15(13), 4590; https://doi.org/10.3390/en15134590 - 23 Jun 2022
Cited by 6 | Viewed by 2095
Abstract
Cogeneration is preferred mostly in process industries where both thermal and electrical energies are required. Cogeneration plants are more efficient than utilizing the thermal and electrical energies independently. Present government policies in India made renewable energy generation mandatory in order to minimize fossil [...] Read more.
Cogeneration is preferred mostly in process industries where both thermal and electrical energies are required. Cogeneration plants are more efficient than utilizing the thermal and electrical energies independently. Present government policies in India made renewable energy generation mandatory in order to minimize fossil fuels consumption and to protect the environment. Hence, many cogeneration plants have been integrated with renewable energy generation. However, post-integration effects increase and introduce inefficiencies in the operation of cogeneration systems. In this paper, a case study of an identified typical cogeneration plant where renewable energy is integrated is considered. Post operational effects on the plant due to integration of renewable energy (solar) are studied and by practical experimentation through cost-benefit analysis the break-even point beyond which renewable energy generation introduces inefficiencies is estimated. Next, a systematic methodology is developed based on the heuristic forward-chaining approach technique to establish the breakeven point. An algorithm/flow chart is developed using an iterative method and executed through MATLAB using practical data from the industry. Suggestions for suitable energy storage devices to store renewable energy beyond the breakeven point, based on a techno-economic analysis of energy storage technologies, are made. Further, the battery energy storage system is designed and the capacity is estimated based on the practical solar irradiance data. A rule-based algorithm is developed to control the charge and discharge cycles of battery storage based on predefined conditions. The payback period is estimated based on the expected monetary benefits of proposed energy storage and the economy of the proposed system is ensured. The post-operational issues are resolved by introducing energy storage. The methodology presented in this paper can be a guiding tool for optimization of various renewable-energy-integrated cogeneration systems. Full article
(This article belongs to the Special Issue Operation and Planning of Integrated Renewable Energy Systems)
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12 pages, 1218 KiB  
Article
Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives
by Olubayo Moses Babatunde, Josiah Lange Munda and Yskandar Hamam
Energies 2022, 15(6), 2248; https://doi.org/10.3390/en15062248 - 19 Mar 2022
Cited by 6 | Viewed by 1819
Abstract
The increased adoption of intermittent renewable sources in the energy sector has also increased the use of battery storage systems. However, the negative impact which the improper disposal of batteries has on the environment has stirred debates on its sustainability. To ensure the [...] Read more.
The increased adoption of intermittent renewable sources in the energy sector has also increased the use of battery storage systems. However, the negative impact which the improper disposal of batteries has on the environment has stirred debates on its sustainability. To ensure the proper disposal of battery waste, there is a need to identify and rank the most preferred battery ‘end-of-life’ handling alternatives. This paper focuses on identifying the most preferred ‘end-of-life’ handling alternatives for batteries using a modified triangular intuitionistic fuzzy aggregating and ranking function (TIFARF) model. To test the proposed modified TIFARF model, opinions from experts in the Nigerian renewable energy sector were collected, and the results show that the most preferred alternative is incineration, with a closeness coefficient of 0.130, while the least preferred alternative is recycling, whose closeness coefficient is 0.112. The results are an indication of a lack of facilities needed for the proper recycling of battery remains after their lifetime; if adequate facilities are available, the opinion of experts may be biased towards other alternatives. Future studies should focus on more battery ‘end-of-life’ handling alternatives and on countries with adequate facilities that can be used to manage batteries at the end of their lifespan. Full article
(This article belongs to the Special Issue Operation and Planning of Integrated Renewable Energy Systems)
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Review

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23 pages, 733 KiB  
Review
An Overview of Energy Access Solutions for Rural Healthcare Facilities
by Lanre Olatomiwa, Ahmad A. Sadiq, Omowunmi Mary Longe, James G. Ambafi, Kufre Esenowo Jack, Toyeeb Adekunle Abd'azeez and Samuel Adeniyi
Energies 2022, 15(24), 9554; https://doi.org/10.3390/en15249554 - 16 Dec 2022
Cited by 8 | Viewed by 3090
Abstract
Quality in healthcare service is essential in giving rural dwellers a good standard of living. It has been established that many rural locations in Sub-Saharan Africa away from the grid connection have difficulty accessing electricity. The inaccessibility of reliable energy and essential medical [...] Read more.
Quality in healthcare service is essential in giving rural dwellers a good standard of living. It has been established that many rural locations in Sub-Saharan Africa away from the grid connection have difficulty accessing electricity. The inaccessibility of reliable energy and essential medical equipment was the leading barrier to improved healthcare delivery in these rural locations. The deficiency of basic medical equipment to power essential services due to limited or unreliable electricity access has reduced rural healthcare workers’ care capabilities, resulting in higher mortality rates. This paper, therefore, reviews the existing energy solutions for rural healthcare facilities, thereby analysing different approaches and the geographical energy mix and ascertaining the effectiveness of various techniques and energy mix as solutions to effective healthcare delivery in healthcare centres. Hybrid Renewable Energy Sources (HRES) microsystems, like microgrids incorporated with solar panels and battery, is identified to ensure higher and more reliable energy access in rural healthcare centres. At the same time, the adoption of Demand Side Management (DSM) in the HRES deployment in countryside healthcare facilities is reported to decrease the initial cost of installation and improve efficiency. Lastly, in improving energy access, rural electrification planning is achieved through modelling tools related to energy access modelling. Full article
(This article belongs to the Special Issue Operation and Planning of Integrated Renewable Energy Systems)
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