Modern Power Systems and Units

Topic Information

Dear Colleagues,

The topics include a whole range of issues related to the generation of electricity and heat using fossil fuels, renewable energy sources and nuclear power. Municipal waste disposal and waste energy recovery in industry are also included. In particular, the papers will address the following topics:

1. fuels and energy sources
2. thermal energy
3. energy use,
4. economic, ecological, social and legal aspects of energy conversion.

The design, construction and operation of electricity and heat generation systems using renewable energy sources, nuclear energy and fossil fuels will be analysed. In view of the rapid development of renewable energy-based power generation, considerable attention will be given to the cooperation of existing large power units with distributed energy sources. Energy self-sufficient buildings using solar energy (photovoltaic cells, solar collectors) and air and ground source heat pumps are of particular importance to the utilisation of green technology in this field.

Modern heating, ventilating and air conditioning (HVAC) systems will also be among the focuses. New methods will be presented for the mathematical modelling of power and heat generation systems and equipment. Due to large fluctuations in the price of conventional fuels, a lot of attention will be paid to the development directions of power and heat generation systems, mainly with a view to price reduction and independence from a single supplier.

Prof. Dr. Jan Taler
Prof. Dr. Ali Cemal Benim
Prof. Dr. Sławomir Grądziel 
Dr. Marek Majdak
Prof. Dr. Moghtada Mobedi
Prof. Dr. Tomasz Sobota
Prof. Dr. Dawid Taler
Prof. Dr. Bohdan Węglowski
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Computation computation	2.2	3.3	2013	18 Days	CHF 1800	Submit
Electronics electronics	2.9	4.7	2012	15.6 Days	CHF 2400	Submit
Energies energies	3.2	5.5	2008	16.1 Days	CHF 2600	Submit
Sensors sensors	3.9	6.8	2001	17 Days	CHF 2600	Submit
Sustainability sustainability	3.9	5.8	2009	18.8 Days	CHF 2400	Submit
World Electric Vehicle Journal wevj	2.3	3.7	2007	14.1 Days	CHF 1400	Submit

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Published Papers (4 papers)

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All Computation Electronics Energies Sensors Sustainability WEVJ

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17 pages, 7176 KiB  

Open AccessArticle

Field Programmable Gate Array-Based Smart Switch to Avoid Inrush Current in PV Installations

by Gerardo de J. Martínez-Figueroa, Felipe Córcoles and Santiago Bogarra

Sensors 2024, 24(4), 1121; https://doi.org/10.3390/s24041121 - 08 Feb 2024

Viewed by 411

Abstract

This paper introduces an FPGA-based implementation of a smart switch designed to avoid inrush currents occurring during the connection of single-phase transformers utilized in grid-connected photovoltaic (PV) systems. The magnitude of inrush currents is notably impacted by the residual flux within the transformer [...] Read more.

This paper introduces an FPGA-based implementation of a smart switch designed to avoid inrush currents occurring during the connection of single-phase transformers utilized in grid-connected photovoltaic (PV) systems. The magnitude of inrush currents is notably impacted by the residual flux within the transformer core and the precise moment of energization relative to the wave cycle. Alternative methods frequently hinge on intricate procedures to estimate residual flux. This challenge is adeptly circumvented by the innovative smart control system proposed herein, rendering it a cost-effective solution for grid-connected PV systems. The proposed solution for mitigating inrush current remains effective, even in the face of challenges with current and voltage sensors. This resilience arises from the system’s ability to learn and adapt by leveraging information acquired from the network. Full article

(This article belongs to the Topic Modern Power Systems and Units)

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24 pages, 1255 KiB  

Open AccessArticle

The Efficacy of Multi-Period Long-Term Power Transmission Network Expansion Model with Penetration of Renewable Sources

by Gideon Ude Nnachi, Yskandar Hamam and Coneth Graham Richards

Computation 2023, 11(9), 179; https://doi.org/10.3390/computation11090179 - 07 Sep 2023

Viewed by 883

Abstract

The electrical energy demand increase does evolve rapidly due to several socioeconomic factors such as industrialisation, population growth, urbanisation and, of course, the evolution of modern technologies in this 4th industrial revolution era. Such a rapid increase in energy demand introduces a huge [...] Read more.

The electrical energy demand increase does evolve rapidly due to several socioeconomic factors such as industrialisation, population growth, urbanisation and, of course, the evolution of modern technologies in this 4th industrial revolution era. Such a rapid increase in energy demand introduces a huge challenge into the power system, which has paved way for network operators to seek alternative energy resources other than the conventional fossil fuel system. Hence, the penetration of renewable energy into the electricity supply mix has evolved rapidly in the past three decades. However, the grid system has to be well planned ahead to accommodate such an increase in energy demand in the long run. Transmission Network Expansion Planning (TNEP) is a well ordered and profitable expansion of power facilities that meets the expected electric energy demand with an allowable degree of reliability. This paper proposes a DC TNEP model that minimises the capital costs of additional transmission lines, network reinforcements, generator operation costs and the costs of renewable energy penetration, while satisfying the increase in demand. The problem is formulated as a mixed integer linear programming (MILP) problem. The developed model was tested in several IEEE test systems in multi-period scenarios. We also carried out a detailed derivation of the new non-negative variables in terms of the power flow magnitudes, the bus voltage phase angles and the lines’ phase angles for proper mixed integer variable decomposition techniques. Moreover, we intend to provide additional recommendations in terms of in which particular year (within a 20 year planning period) can the network operators install new line(s), new corridor(s) and/or additional generation capacity to the respective existing power networks. This is achieved by running incremental period simulations from the base year through the planning horizon. The results show the efficacy of the developed model in solving the TNEP problem with a reduced and acceptable computation time, even for large power grid system. Full article

(This article belongs to the Topic Modern Power Systems and Units)

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16 pages, 6470 KiB  

Open AccessArticle

Decision Support Tool for Electric Power Generation Development: A Feasibility Analysis for a Nigerian Case

by Justicia Otobo, Rusdy Hartungi, Yusuf Ibraheem and Abouzar Estebsari

Electronics 2023, 12(13), 2807; https://doi.org/10.3390/electronics12132807 - 25 Jun 2023

Viewed by 697

Abstract

Electricity is a crucial component of sustainable development in developing countries, providing opportunities to supply low-cost clean energy to their populations. This paper presents a decision support tool for the Nigerian case, allowing users to rank different enhancement options to meet future scenarios. [...] Read more.

Electricity is a crucial component of sustainable development in developing countries, providing opportunities to supply low-cost clean energy to their populations. This paper presents a decision support tool for the Nigerian case, allowing users to rank different enhancement options to meet future scenarios. The tool enables feasibility checks on infrastructure capacity and can handle various generation options, including low-cost renewable resources. It is easy to use for non-experts and decision-makers and incorporates an optimal power flow algorithm to minimize costs. Demonstrated on a modified IEEE 30-bus system informed by Nigerian scenarios, this tool can provide policymakers with valuable insights for long-term investment decisions and facilitate the delivery of low-cost clean energy to developing countries. Full article

(This article belongs to the Topic Modern Power Systems and Units)

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18 pages, 3488 KiB  

Open AccessArticle

Research on Parameter Optimization Method of Sliding Mode Controller for the Grid-Connected Composite Device Based on IMFO Algorithm

by Ji Sun, Jiajun Liu, Miao Miao and Haokun Lin

Sensors 2023, 23(1), 149; https://doi.org/10.3390/s23010149 - 23 Dec 2022

Viewed by 1140

Abstract

In order to make the grid-connected composite device (GCCD) controller meet the requirements of different operating modes and complex working conditions of power grid, this paper proposes to introduce sliding mode control (SMC) into GCCD controller. Firstly, the mathematical model of MMC converter [...] Read more.

In order to make the grid-connected composite device (GCCD) controller meet the requirements of different operating modes and complex working conditions of power grid, this paper proposes to introduce sliding mode control (SMC) into GCCD controller. Firstly, the mathematical model of MMC converter is established, and the sliding mode controller is designed based on the SMC principle. Then, aiming at the problems of complex controller structure and difficult parameter tuning in multiple modes of the GCCD, this paper proposes a controller parameter optimization method based on improved Month Flame optimization (IMFO) algorithm. This method improves the MFO algorithm by introducing good point set (GPS) initialization and Levy flight strategy, which accelerates the convergence speed of the algorithm while avoiding falling into local optimization, and realizes the optimization of converter controller parameters. Under a variety of standard test functions, the advantages of the proposed IMFO algorithm are verified by comparing it with the traditional algorithm. Finally, in order to realize the automatic tuning of control parameters, the Python–PSCAD joint simulation method is studied and implemented. Taking the comprehensive integral of time and absolute error (CITAE) index as the objective function, the parameters of the sliding mode controller are optimized. The simulation results show that the controller parameters optimized by the IMFO algorithm can make the GCCD have better dynamic performance. Full article

(This article belongs to the Topic Modern Power Systems and Units)

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