Preface

D B Solovev 1,2 1 Far Eastern Federal University, Vladivostok, Russia 2 Vladivostok Branch of Russian Customs Academy, Vladivostok, Russia E-mail: [email protected] The special issue Journal of Physics: Conference Series is entitled ‘International Conference on Automatics and Energy (ICAE 2021)’. Smart technologies and modern innovations in design for control and automation systems of technological processes and objects: prospects and international experience. International Conference on Automatics and Energy (ICAE 2021) is devoted to the discussion of modern achievements and promising research in the sphere of intelligent technologies in solving real, applied problems in various fields of industry and energy policies of different countries. The special issue Journal of Physics: Conference Series (International Conference on Automatics and Energy (ICAE 2021)) is published to support interdisciplinary discussion and publication of research results that generalise research in technical branches of knowledge in higher education institutions, research institutes, large industrial enterprises, research and production associations of the Russian Federation, as well as authors from other countries, and the results of research carried out on the personal initiative of the authors. The main thematic sections of the International Conference on Automatics and Energy (ICAE 2021) include: control systems and technologies for various energy facilities, industrial mechatronic systems and robotics, electric power systems and renewable energy sources, power electronics, electrical machines and electric drives, microprocessor control systems and signal processing, modelling and computer technologies, theory and practice of dynamic measurements, organisational and management solutions for energy and resource conservation. International Conference on Automatics and Energy (ICAE 2021) may be of interest to a wide range of specialists in the field of designing innovative solutions and organisational measures that increase the efficiency of the use of energy technologies in their various manifestations. The issue is also of interest to scientific and engineering personnel engaged in the development, design and calibration of automation devices and control systems for technical electrified systems and facilities, as well as information and measuring instruments for obtaining, measuring and researching information about currents in electrical complexes and systems; and for students and undergraduates studying ‘electrical power engineering and electrical engineering’, ‘automated systems’, ‘control systems in energy technologies’ and postgraduate students in the corresponding branches of study. The Organizing committee conference (ICAE 2021) would like to thank all authors for sharing their research results, insights and conclusions on prospects and challenges modern innovations in design for control and automation systems. List of Organizing Committee are available in this pdf.

Bi-objective design-for-control of water distribution networks with global bounds

This manuscript investigates the design-for-control (DfC) problem of minimizing pressure induced leakage and maximizing resilience in existing water distribution networks. The problem consists in simultaneously selecting locations for the installation of new valves and/or pipes, and optimizing valve control settings. This results in a challenging optimization problem belonging to the class of non-convex bi-objective mixed-integer non-linear programs (BOMINLP). In this manuscript, we propose and investigate a method to approximate the non-dominated set of the DfC problem with guarantees of global non-dominance. The BOMINLP is first scalarized using the method of $$\epsilon $$ ϵ -constraints. Feasible solutions with global optimality bounds are then computed for the resulting sequence of single-objective mixed-integer non-linear programs, using a tailored spatial branch-and-bound (sBB) method. In particular, we propose an equivalent reformulation of the non-linear resilience objective function to enable the computation of global optimality bounds. We show that our approach returns a set of potentially non-dominated solutions along with guarantees of their non-dominance in the form of a superset of the true non-dominated set of the BOMINLP. Finally, we evaluate the method on two case study networks and show that the tailored sBB method outperforms state-of-the-art global optimization solvers.