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Smart Power Management of Renewable Power System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 12715

Special Issue Editor


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Guest Editor
Department of Computer Science, National University of Singapore, Singapore, Singapore
Interests: power system control; optimization techniques; smartgrid communications; cybersecurity in power systems; hybrid energy management systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Energies journal is running a Special Issue on the topic of Smart Power Management of Renewable Power Systems. Climate change concerns and depleting fossil fuels have led to increased use of renewable energy resources for power generation. Electric networks are now transforming towards a clean power grid as more renewable energy resources are integrated. However, the rising penetrations of renewable-energy-based distributed energy resources (DERs) have adverse impacts on grid structure and its operation. The stochastic nature of renewable energy sources results in systems of slowing dynamics, power quality problems, etc.

To minimize the impacts of intermittent renewable energy and overcome the technical challenges of grid integration of renewable energy sources, different solutions such as concept of microgrids, demand side managenent strategies, power electronics converter-based robust control strategies, energy storage systems, etc., are proposed by researchers. This Special Issue solicits original theoretical and experimental papers as well as state-of-the-art surveys and tutorial papers addressing the topics of the Special Issue. The topics of the Special Issue include but are not limited to the following:

  • Power electronics converter based robust control strategies for renewable energy systems;
  • Energy management strategies for power systems with high penetration of renewable energy sources;
  • Sustainable energy integration of renewable energy sources such as PV, wind, biomass, geothermal, hydroelectric, etc.;
  • Smart energy storage system (including electric vehicle) based strategeis for power management;
  • Advanced standardized communication-based strategies for control and management of renewable energy systems;
  • Standalone hybrid energy systems;
  • Control and optimization of renewable energy systems;
  • Operation and control of microgrids and microgrid clusters;
  • Modern demand-side response and demand-side management strategies;
  • Advanced control, monitoring, and protection techniques for power systems with high penetration of renewable energy sources.

Dr. Suhail Hussain
Guest Editor

Manuscript Submission Information

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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

  • Renewable energy power systems
  • Distributed energy resources
  • Power electronic converters
  • Energy storage systems
  • Energy management.

Published Papers (5 papers)

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Research

50 pages, 5713 KiB  
Article
Smart Power Management in OIC Countries: A Critical Overview Using SWOT-AHP and Hybrid MCDM Analysis
by K. Habibul Kabir, Shafquat Yasar Aurko and Md. Saifur Rahman
Energies 2021, 14(20), 6480; https://0-doi-org.brum.beds.ac.uk/10.3390/en14206480 - 10 Oct 2021
Cited by 14 | Viewed by 3421
Abstract
A conventional electrical grid mostly depends on the electrical power generated from fossil fuels. However, the pollutants from fossil fuels are the key factors for adverse climate change. Most of the developed countries of the world have already recognized the fact that the [...] Read more.
A conventional electrical grid mostly depends on the electrical power generated from fossil fuels. However, the pollutants from fossil fuels are the key factors for adverse climate change. Most of the developed countries of the world have already recognized the fact that the energy mix requires to be diversified by incorporating renewable energy. This is especially relevant for a good number of the member countries of the Organization of Islamic Cooperation (OIC), as much of their electric power is still generated from fossil fuels due to the relative abundance of fossil fuels in those countries. In order to integrate renewable energy sources into the hybrid energy mix, an existing conventional grid needs to undergo drastic changes. Alongside this, the population boom in the OIC member countries has caused higher demand for a steady supply of electricity that the conventional grids have long been struggling to cope with. With a view to solving this multifaceted problem, incorporation of the smart power management schemes is indispensable using a smart electrical grid, where information and communications technology is integrated into its major building blocks. This allows advanced applications of a grid, such as the formation of micro-grids, demand-side management, energy storage, high-tech power electronic converters, etc. As the smart grids are being adopted by many developed countries, it is high time for the OIC member countries to pay due attention to this development, if they have not already done so. This paper explains, with special focus on the OIC member countries, the various smart power management technologies, their operations and applications, and the benefits and challenges. Then, it goes on to carry out the Strength–Weakness–Opportunity–Threat with Analytical-Heuristic-Procedure (SWOT-AHP) analysis to evaluate its feasibility of incorporation and the underlying strategies appropriate for its implementation. Furthermore, a Hybrid Multi-Criteria-Decision-Making (MCDM) analysis is performed to evaluate the sequence of the emphasis that should be given on each of the technologies from those available for the smart power management initiative. Finally, the study reinforces the stance by drawing parallels from the UN Sustainable Development Goals (SDG) and highlights the importance of the smart grid in line with the global vision of SDG. This paper aims at assisting the decision-makers in implementing smart power management schemes in the OIC member countries, in particular, and other countries of the world, in general. Full article
(This article belongs to the Special Issue Smart Power Management of Renewable Power System)
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18 pages, 1236 KiB  
Article
Robust Operation of Hybrid Solar–Wind Power Plant with Battery Energy Storage System
by Mostafa Bakhtvar and Amer Al-Hinai
Energies 2021, 14(13), 3781; https://0-doi-org.brum.beds.ac.uk/10.3390/en14133781 - 23 Jun 2021
Cited by 4 | Viewed by 2297
Abstract
The intraday continuous electricity market (ICM) is a potential target market for the Dispatchable Hybrid Renewable solar–wind–battery energy storage system (BESS) power plant (DHRB). However, the uncertainty of the electricity price jeopardizes economic justification of BESS operation, an essential component of DHRB. Using [...] Read more.
The intraday continuous electricity market (ICM) is a potential target market for the Dispatchable Hybrid Renewable solar–wind–battery energy storage system (BESS) power plant (DHRB). However, the uncertainty of the electricity price jeopardizes economic justification of BESS operation, an essential component of DHRB. Using the duality theory, this paper proposes a unilevel mixed-integer linear programming rolling-approach-based robust optimal scheduling tool for DHRB that keeps BESS operation optimal should the worst price scenario occur. It reflects BESS’s degradation as penalty factors and also integrates a BESS degradation model in the scheduling tool for better assessment of the available resources through the BESS’s lifetime. This tool aids the DHRB operator to decide the power offer to the ICM in such a way that the BESS’s operation remains optimal. A case study is carried out to demonstrate the application of the proposed tool. Both the long-term and short-term losses/benefits of utilizing this tool for scheduling DHRB in the ICM are investigated at various uncertainty levels. It is shown that there will be a risk of loss of income for the DHRB in the short-term due to increased nondispatchable energy. However, by limiting the use of BESS to only those settlement periods that are either certainly profitable or unavoidable, the lifetime of BESS can potentially be extended. Hence, this can result in more income by the DHRB power plant in the long-term. Full article
(This article belongs to the Special Issue Smart Power Management of Renewable Power System)
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15 pages, 2233 KiB  
Article
Design and Implementation of Maiden Dual-Level Controller for Ameliorating Frequency Control in a Hybrid Microgrid
by Abdul Latif, S. M. Suhail Hussain, Dulal Chandra Das and Taha Selim Ustun
Energies 2021, 14(9), 2418; https://0-doi-org.brum.beds.ac.uk/10.3390/en14092418 - 23 Apr 2021
Cited by 22 | Viewed by 1772
Abstract
It is known that keeping the power balance between generation and demand is crucial in containing the system frequency within acceptable limits. This is especially important for renewable based distributed hybrid microgrid (DHμG) systems where deviations are more likely to occur. In order [...] Read more.
It is known that keeping the power balance between generation and demand is crucial in containing the system frequency within acceptable limits. This is especially important for renewable based distributed hybrid microgrid (DHμG) systems where deviations are more likely to occur. In order to address these issues, this article develops a prominent dual-level “proportional-integral-one plus double derivative {PI−(1 + DD)} controller” as a new controller for frequency control (FC) of DHμG system. The proposed control approach has been tested in DHμG system that consists of wind, tide and biodiesel generators as well as hybrid plug-in electric vehicle and an electric heater. The performance of the modified controller is tested by comparing it with standard proportional-integral (PI) and classical PID (CPID) controllers considering two test scenarios. Further, a recently developed mine blast technique (MBA) is utilized to optimize the parameters of the newly designed {PI − (1 + DD)} controller. The controller’s performance results are compared with cases where particle swarm optimization (PSO) and firefly (FF) techniques are used as benchmarks. The superiority of the MBA-{PI − (1 + DD)} controller in comparison to other two strategies is illustrated by comparing performance parameters such as maximum frequency overshoot, maximum frequency undershoot and stabilization time. The displayed comparative objective function (J) and JFOD index also shows the supremacy of the proposed controller. With this MBA optimized {PI − (1 + DD)} controller, frequency deviations can be kept within acceptable limits even with high renewable energy penetration. Full article
(This article belongs to the Special Issue Smart Power Management of Renewable Power System)
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19 pages, 2559 KiB  
Article
Price-Response Matrices Design Methodology for Electrical Energy Management Systems Based on DC Bus Signalling
by Lucas V. Bellinaso, Edivan L. Carvalho, Rafael Cardoso and Leandro Michels
Energies 2021, 14(6), 1787; https://0-doi-org.brum.beds.ac.uk/10.3390/en14061787 - 23 Mar 2021
Cited by 10 | Viewed by 2461
Abstract
Prosumers’ electrical installations (PEIs), as nanogrids and low-voltage microgrids, have gained importance in recent years following the development of standards such as the IEC 60364-8 series. In these systems, all distributed energy resources (DERs) are usually integrated using dc bus coupling. The IEC [...] Read more.
Prosumers’ electrical installations (PEIs), as nanogrids and low-voltage microgrids, have gained importance in recent years following the development of standards such as the IEC 60364-8 series. In these systems, all distributed energy resources (DERs) are usually integrated using dc bus coupling. The IEC 60364-8-3 predicts an electrical energy management system (EEMS) for power-sharing. The overall research framework of this paper is the nanogrid power management, where complex algorithms are required, as well as the conventional state machines and hierarchical controls. However, the addition of new DERs in such systems is not straightforward due to the complicated parameter settings for energy usage optimization. A different control strategy, named price-based power management, has been conceived to make the EEMS scalable to include new sources and simplify parameterization. Since it is analogous to economic markets, most users understand the concepts and feel comfortable tuning parameters according to their own cost/benefits goals. This paper proposes a price-based power management algorithm for EEMS to automatically design the price-response matrices (PRMs). The PRMs are a way to organize power management, considering new DERs and variable price of energy. The main contribution is the methodology to design the PRMs. Experimental results are carried out to demonstrate the effectiveness of the proposed strategy. The results were obtained with a 1.5 kW prototype composed of a PV generator, battery energy storage, loads, and grid connection. Full article
(This article belongs to the Special Issue Smart Power Management of Renewable Power System)
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21 pages, 3242 KiB  
Article
Fractional Order Fuzzy Based Virtual Inertia Controller Design for Frequency Stability in Isolated Hybrid Power Systems
by Tarkeshwar Mahto, Rakesh Kumar, Hasmat Malik, S. M. Suhail Hussain and Taha Selim Ustun
Energies 2021, 14(6), 1634; https://0-doi-org.brum.beds.ac.uk/10.3390/en14061634 - 15 Mar 2021
Cited by 9 | Viewed by 1860
Abstract
In the present era, electrical power system is evolving to an inverter-dominated system from a synchronous machine-based system, with the hybrid power systems (HPS) and renewable energy generators (REGs) increasing penetration. These inverters dominated HPS have no revolving body, therefore, diminishing the overall [...] Read more.
In the present era, electrical power system is evolving to an inverter-dominated system from a synchronous machine-based system, with the hybrid power systems (HPS) and renewable energy generators (REGs) increasing penetration. These inverters dominated HPS have no revolving body, therefore, diminishing the overall grid inertia. Such a low system inertia could create issues for HPS with REG (HPSREG) such as system instability and lack of resilience under disturbances. A control strategy, therefore, is required in order to manage this task besides benefitting from the full potential of the REGs. A virtual inertia control for an HPSREG system built with the principle of fractional order (FO) by incorporation of proportional-integral-derivative (PID) controller and fuzzy logic controller (FLC) has been projected. It is utilized by adding virtual inertia into HPSREG system control loop and referred to as FO based fuzzy PID controller for this study. Simulation outcomes states that the advocated FO based fuzzy PID controller has superior control in frequency of the system under frequent load variations. It has been noted that the proposed control scheme exhibits improved efficiency in maintaining specific reference frequency and power tracking as well as disturbance diminution than optimal classic and FO-based controller. It has been validated that, the developed controller effectively delivers preferred frequency and power provision to a low-inertia HPSREG system against high load demand perturbation. In the presented paper, analysis based on sensitivity has also been performed and it has been found that the HPSREG system’s is not effected by system parameter and load variations. Full article
(This article belongs to the Special Issue Smart Power Management of Renewable Power System)
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