Guest editorial: Selected papers from the 2020 2nd international conference on smart power & internet energy systems (SPIES2020)

This Special Issue of IET Renewable Power Generation presents expansions of selected papers from the 2020 International Conference on Smart Power & Internet Energy Systems (SPIES2020). Authors of selected high-quality papers presented in the conference were invited to submit the extended versions of their papers to this Special Issue in IET Renewable Power Generation. This Special Issue aims to present novel research on energy systems operation and control. Six papers were accepted and are presented in this Issue. Peter Makolo et al. propose an online method to estimate the total inertia of a network using a recursive least-squares approach. The proposed method uses network measurements with a non-recursive system identification approach to initially estimate the network hypothesis model. Then, the recursive method is used together with time changing measurements to recursively estimate model parameters and extract online inertia estimates of the network. During the estimation, the method does not need to store previous data after each sample step; therefore, the computation burden is significantly reduced. More importantly, the technique incorporates the use of available electromechanical oscillation modes in the system, which are linked with system parameters, to determine the network inertia estimates. The applicability of the proposed method has been validated by numerical simulations of the IEEE 39-bus network and the aggregated New Zealand network with its actual inertia data. Mohammad Ali Bagherian et al. elaborate the impacts of different conversion methods on techno-economic performance of bioenergy systems for residential energy supply. In this context, Organic Rankine Cycle based on direct combustion, and Dual Fluidized-Bed technology based on gasification were selected for that purpose. A techno-economic comparative analysis illustrates that the primary product of the system and fuel cost are the two most important factors in feasibility assessment. The negative impact of feedstock price was more severe on the Organic Rankine Cycle. For wood chips prices below 55$/t, Organic Rankine Cycle could be the better option due to lower capital and maintenance costs. In contrast, Dual Fluidized-Bed could better tolerate the variation of feedstock price; offering 8% lower cost of energy at 65$/t wood chips. Yu-Hang Yap et al. present a two-stage multi microgrids pear to peer energy trading. Peer-to-peer (P2P) energy trading is expected to be emerged as a new energy management paradigm that allows the transaction of energy from one prosumer to another prosumer without any dependency on a central controller. In Malaysia, first pilot test of P2P trading has been conducted recently, which was exclusively participated by industrial prosumers and commercial consumers only. In order to investigate the impact of P2P energy trading to Malaysia market, this paper proposes an auction-based two-stage P2P trading market-clearing strategy, for multi-cities and intra-city in Malaysia. A motivational game theory-based price scheme is presented to ensure an unbiased market operation, to maximize the saving and payoff for each prosumer, at the same time benefits the power utility company. The proposed two stage market clearing model is solved by Linear Programming optimization approach. A realistic representation of P2P trading in Malaysia is constructed and tested out under multi-cities and intra-city energy trading test cases. Comparison between the proposed P2P energy trading with existing solar generation net metering scheme is also presented. The numerical results indicate the viability and potential of motivational game theory based P2P trading in future Malaysia transactive energy market. Jorge L Angarita et al. propose a robust investment and operation model to attend the power and heat needs of a Microgrid (MG) connected to the distribution system. The optimization algorithm decides on the best investment and operation of Combined Heat and Power (CHP), Boilers, PV power generation and Battery Energy Storage Systems (BESS). For the BESS, the algorithm estimates the optimal energy storage capacity (MWh) as well as the maximum hourly delivery capacity (MW). The non-linear and non-concave heat rate chart is recast by a mix-integer linear model to have a tractable and precise model. The model considers the uncertain in some parameters using probability density function (pdf) to portrait its behaviour. Thus, the problem has been modelled using stochastic programming approach, and its objective function is the expected value of the annual operational cost. The model is tested using a real case where two adjacent consumers share the power and heat facilities to minimize the overall up to 17% depending on the gas price scenario. The results demonstrate the benefits of employing different technologies and the synergies of all technologies operating together. Fateh Mehazzem et al. present a paper that deals with a comparison between Integral, Classical and Multiscalar Backstepping controllers applied for a PV water pumping system. The solar pumping system is controlled in its first part by a Backstepping MPPT approach in order to extract a maximum power from solar panels. The second part, composed mainly by induction motor pump is controlled by a Backstepping structures. The integral Backstepping control structure gives interesting features in terms of stability using recursive Lyapunov design, increases robustness despite parameters variation, and provides good tracking and optimization performance. In order to validate our study with a real solar data, a measured irradiance profile is used to fed the PV system, based on solar measurements in tropical insular context. The measurements were collected at Sonapi site located in Haiti country. The fast variability of the tropical irradiance profile will allow us to test the robustness of the used control algorithms and determine their limits. Simulation of the proposed solution is validated under Matlab/Simulink. Results demonstrate clearly that Integral Backstepping provides the best solution with a good tracking, and optimization performance: fast dynamic response and stable static power output, even when weather conditions (irradiation) are rapidly changing. Hamed Bizhani et al. propose current stress and switching loss evaluation of a unified expandable power converter used for grid-integration of renewable energy sources. Due to the intermittent nature of the renewable energy systems (RESs), more specifically solar panels and wind turbines, their sole use does not lead to a smooth and reliable power. To overcome this issue, the concurrent grid-integration of RESs to a microgrid is reported. In the DC-bus microgrid, the produced power by RES is initially given to the shared DC-bus through an individual source-side converter and then transmitted to the utility via a common grid-side converter. By increasing the number of RESs, the number of required power converters, and therefore, the investment cost also increases. Using the cost-effective multi-input low-switch converters is a promising alternative to alleviate this significant need for individual converters. Recently, a nine-switch based unified expandable power converter (UEPC) has been presented for concurrent integration of AC and DC sources with a tangible fewer switch count. This unified structure has been utilized in two configurations named AC-AC-AC and AC-AC-DC. Both configurations are evaluated and compared in terms of current stress and switching loss. Considering the current stress analysis, the best port for interfacing with the grid to lower the total current rating of power switching devices is also determined. The high-performance capability of both configurations is finally verified using MATLAB/Simulink. All of the papers select for this Special Issue show a timely and interesting topic in renewable energy systems and power systems. The Guest Editorial Board appreciates all contributions of the authors to the Special Issue, Selected Papers from the 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES2020). Moreover, they express their gratitude to the potential reviewers who have exerted sincere efforts to improve the papers quality by their constructive comments. Special thanks to the Editor-in-Chief of IET Renewable Power Generation, Professor David Infield for giving the Guest Editorial Board this great chance. Hany M. Hasanien (M 09, SM 11) received his B.Sc., M.Sc. and Ph.D. degrees in electrical engineering from Ain Shams University, Faculty of Engineering, Cairo, Egypt, in 1999, 2004, and 2007, respectively. From 2008 to 2011, he was a joint researcher with Kitami Institute of Technology, Kitami, Japan. From 2012 to 2015, he was associate professor at College of Engineering, King Saud University, Riyadh, Saudi Arabia. Currently, he is professor at the Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University. His research interests include modern control techniques, power systems dynamics and control, energy storage systems, renewable energy systems, and smart grid. Prof. Hasanien is an Editorial Board Member of Electric Power Components and Systems Journal. He is subject editor of IET Renewable Power Generation, Ain Shams Engineering Journal and Electronics MDPI. He has authored, co-authored, and edited three books in the field of electric machines and renewable energy. He has published more than 150 papers in international journals and conferences. His biography has been included in Marquis Who's Who in the world for its 28 edition, 2011. He was awarded Encouraging Egypt Award for Engineering Sciences in 2012. He was awarded Institutions Egypt Award for Invention and Innovation of Renewable Energy Systems Development in 2014. He was awarded the Superiority Egypt Award for Engineering Sciences in 2019. Currently, he is IEEE PES Egypt Chapter Chair and Editor in Chief of Ain Shams Engineering Journal. Professor Dr. Saad Mekhilef is a charted engineer (CEng) and fellow of the Institution of Engineering and Technology (IET), and a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He is an associate editor of various top journals such as IEEE Transactions on Power Electronics and the Journal of Power Electronics. He is a distinguished professor at School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Australia and honorary professor at the Department of Electrical Engineering, University of Malaya. He is the director of Power Electronics and Renewable Energy Research Laboratory (PEARL). He authored and co-authored more than 400 publications in academic journals and proceedings and five books with more than 29,000 citations. He is frequently invited as honorary keynote lectures at international conferences, congress, meetings, and symposiums. Prof. Mekhilef has been listed by Thomson Reuters (Clarivate Analytics) as one of the Highly Cited (Hi.Ci) engineering researchers in the world in 2018,2019 and 2020. He is actively involved in industrial consultancy for major corporations in the Power Electronics and Renewable Energy projects. His research interests include Power Conversion Techniques, Control of Power Converters, Maximum Power Point Tracking (MPPT), Renewable Energy, and Energy Efficiency. Professor Hua Geng, FIET FIEEE, Tsinghua University, China (Guest Editor). Hua Geng received the B.S. degree in electrical engineering from Huazhong University of Science and Technology, Wuhan, China, in 2003 and the Ph.D. degree in control theory and application from Tsinghua University, Beijing, China, in 2008. From 2008 to 2010, he was a Postdoctoral Research Fellow with the Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada. He joined Automation Department of Tsinghua University in June 2010 and is currently a full professor. His research interests include advanced control on power electronics and renewable energy conversion systems. He is the editors of IEEE Trans. on Energy Conversion and IEEE Trans. on Sustainable Energy, associate editors of IEEE Trans. on Industry Applications, IET Renewable Power Generation, Control Engineering Practice. He served as general co-chairs, track chairs and session chairs of several IEEE conferences. Ahmed Al-Durra received his PhD in ECE from Ohio State University in 2010. He is a Professor in the EECS Department at Khalifa University, UAE. His research interests are applications of control and estimation theory on power systems stability, micro and smart grids, renewable energy systems and integration, and process control. He has one US patent, one edited book, 12 book chapters, and over 230 scientific articles in top-tier journals and refereed international conference proceedings. He has supervised/co-supervised over 30 PhD/Master students. He is leading the Energy Systems Control & Optimization Lab under the Advanced Power & Energy Center, an Editor for IEEE Transactions on Sustainable Energy and IEEE Power Engineering Letters, and Associate Editor for IEEE Transactions on Industry Applications, IET Renewable Power Generation, and Frontiers in Energy Research. Sanjeevikumar Padmanaban (Member’12–Senior Member’15, IEEE) received a Ph.D. degree in electrical engineering from the University of Bologna, Bologna, Italy 2012. He was an associate professor at VIT University from 2012 to 2013. In 2013, he joined the National Institute of Technology, India, as a faculty member. In 2014, he was invited as a visiting researcher at the Department of Electrical Engineering, Qatar University, Doha, Qatar, funded by the Qatar National Research Foundation (Government of Qatar). He continued his research activities with the Dublin Institute of Technology, Dublin, Ireland, in 2014. Further, he served as an associate professor with the Department of Electrical and Electronics Engineering, University of Johannesburg, Johannesburg, South Africa, from 2016 to 2018. From March 2018 to February 2021, he has been a faculty member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. Since March 2021, he has been with the CTIF Global Capsule (CGC) Laboratory, Department of Business Development and Technology, Aarhus University, Herning, Denmark. S. Padmanaban has authored over 300 scientific papers and was the recipient of the Best Paper cum Most Excellence Research Paper Award from IET-SEISCON’13, IET-CEAT’16, IEEE-EECSI’19, IEEE-CENCON’19 and five best paper awards from ETAEERE’16 sponsored Lecture Notes in Electrical Engineering, Springer book. He is a fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He is an editor/associate editor/editorial board for refereed journals, in particular the IEEE SYSTEMS JOURNAL, IEEE Transaction on Industry Applications, IEEE ACCESS, IET Power Electronics, IET Electronics Letters, and Wiley-International Transactions on Electrical Energy Systems, Subject Editorial Board Member—Energy Sources—Energies Journal, MDPI, and the Subject Editor for the IET Renewable Power Generation, IET Generation, Transmission and Distribution, and FACETS journal (Canada). Rakibuzzaman Shah (M' 14) is a senior lecturer in Smart Power ‎Systems Engineering within the School of Engineering, Information Technology and Physical Sciences at Federation University Australia (FedUni ‎Australia). He obtained Ph. D. from the University of Queensland in Power System on 2014. Before joining FedUni Australia, he has worked with the ‎University of Manchester, the University of Queensland, and Central ‎Queensland University. He has experience working at, and consulting with, DNOs and TSOs on individual projects and collaborative work on a large number of projects (EPSRC project on Multi-terminal HVDC, Scottish and Southern Energy Multi-infeed HVDC) - primarily on the dynamic impact of integrating new technologies and power electronics into large systems. Currently, he has working with Victorian distribution system operators in a number of projects on demand response, ancillary services from DSO through coordination between DSOs and TSOs. He has more than 85 international publications (journals and conferences) and has spoken at the leading power system conferences around the world. His research interest includes Future power grids (i.e., Renewable energy integration, wide-area control), asynchronous grid connection through VSC-HVDC, power system stability and dynamics, application of data mining in power system, application of control theory in power system, distribution system energy management and low carbon energy system. Sajal K. Das is the head of the Department of Mechatronics Engineering of Rajshahi University of Engineering & Technology, Bangladesh, and director of Control System Research Group of RUET. He is the President of the Robotic Society of RUET and Advisor of Robotics and Automation Society, IEEE RUET SB, Bangladesh. He received a Ph.D. degree from the University of New South Wales (UNSW), Australia, and worked as a Research Engineer at the National University of Singapore (NUS), Singapore. He was a visiting academic at the University of Newcastle, Australia, and a faculty member of the Department of Electrical and Electronic Engineering of American International University-Bangladesh. He is a member of IEEE and serves as the Guest Editor in IET Renewable Power Generation, Sustainability, and Energies. His research interest includes renewable energy generation and control, microgrid, smart grid, virtual power plant, cyber-security, and nano-positioning control. He has published more than 100 peer-reviewed journal and conference papers.

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