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Application of multi-objective fractional factorial design for ultra-wideband antennas with uniform gain and high fidelity

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IET MICROWAVES ANTENNAS & PROPAGATION 2015年第15期9卷 1667-1672页

作者： Chen, Yen-Sheng Natl Taipei Univ Technol Dept Elect Engn Taipei 10608 Taiwan

An efficient design methodology is presented for developing ultra-wideband (UWB) antennas with uniform gain and high fidelity. The major challenge for designing UWB antennas is to simultaneously meet all the frequency-domain and time-domain performance criteria including good impedance matching throughout the operational frequencies, relatively uniform gain over the UWB, and high waveform fidelity on pulse-preserving capabilities. If the framework of Pareto-based evolutionary algorithms is adopted, it may require thousands of tests to find an optimum structure due to the blind-search feature. In this study, all the requirements of UWB antenna design can now be efficiently achieved by the proposed methodology, which integrates the processes of fractional factorial design of experiments and Derringer's desirability functions into a multi-objective optimisation technique. The detailed procedure and its capability are demonstrated by an UWB planar monopole antenna design which comprises nine design parameters. By performing merely 64 predefined simulations, the optimum antenna structure is determined with an excellent impedance matching by 2:1 voltage standing wave ratio and a relatively constant gain (2.48-5.04 dBi) over the frequency band of 3.1-10.6 GHz. Meanwhile, the time-domain distortion is greatly reduced in comparison with the reference design which simply optimises the characteristic of impedance matching.

关键词： microwave antennas ultra wideband antennas Pareto optimisation evolutionary computation planar antennas monopole antennas multiobjective fractional factorial design application ultrawideband antennas uniform gain frequency domain performance time domain performance impedance matching operational frequencies Pareto based evolutionary algorithms optimum structure blind search feature UWB antenna design fractional factorial design of Derringer desirability functions multiobjective optimisation technique UWB planar monopole antenna design frequency 3 1 GHz to 10 6 GHz gain 2 48 dB to 5 04 dB

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Techno-economic design optimisation of an interior permanent-magnet synchronous motor by the multi-objective approach

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IET ELECTRIC POWER APPLICATIONS 2018年第7期12卷 972-978页

作者： Ilka, Reza Alinejad-Beromi, Yousef Yaghobi, Hamid Semnan Univ Fac Elect & Comp Engn Semnan Iran

In engineering terms, it is always desirable to maximise the efficiency of the motor and to look the problem in economic viewpoint, minimisation of the weight and cost of the motor is required. As these two aspects are like two sides of a coin, it is usually aimed to acquire the best efficiency per weight and cost. As a result, the performance improvement of permanent-magnet synchronous motor (PMSM) has two sides: technical and economic. This study proposes a new approach for design optimisation of an interior PMSM (IPMSM) taking into account both technical performances and economic considerations. The selected rotor configuration is a good candidate for general purpose industrial applications. A multi-objective optimisation technique based on a new and efficient magnetic equivalent circuit of the motor is applied to obtain optimal motor parameters. A Pareto front composed of possible optimal solutions is provided. The best optimal solution is then selected using a k-means clustering algorithm. To verify the efficacy of the design optimisation, the performance characteristics of the optimal PMSM are compared by both the finite element simulations and the experiments. In the test setup, an 8-pole, 200-Watt, four-phase IPMSM with an optimised structure is prototyped where the results give agreeable accuracy.

关键词： synchronous motors permanent magnet motors finite element analysis rotors equivalent circuits optimisation interior permanent-magnet synchronous motor multiobjective approach engineering terms economic viewpoint performance improvement interior PMSM economic considerations selected rotor configuration general purpose industrial applications multiobjective optimisation technique efficient magnetic equivalent circuit optimal motor parameters possible optimal solutions performance characteristics optimal PMSM optimised structure techno-economic design optimisation weight minimisation cost minimisation technical performances finite element simulations

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Centralised multi-objective integration of wind farm and battery energy storage system in real-distribution network considering environmental, technical and economic perspective

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IET GENERATION TRANSMISSION & DISTRIBUTION 2019年第22期13卷 5207-5217页

作者： Ahmadi, Mikaeel Lotfy, Mohammed Elsayed Howlader, Abdul Motin Yona, Atsushi Senjyu, Tomonobu Univ Ryukyus Fac Engn 1 Senbaru Nishihara Okinawa 9030213 Japan Zagazig Univ Fac Engn Zagazig 44511 Egypt Univ Hawaii Hawaii Nat Energy Inst Honolulu HI 96822 USA

Integration of renewable energies such as wind and solar with an energy storage system (ESS) in a distribution network is the interest of current studies in power system engineering. Wind and battery ESS (BESS) are known for their complement and efficient approaches into the distribution networks. The promising of renewable energies for wind and solar in Afghanistan is a motivation for stepping up the power sector of the country by enhancing the power quality as well as self-dependency in electricity production. In this study, a multi-objective optimisation technique, non-dominated sorting genetic algorithm II (NSGA-II) is proposed for an extensive distribution network in Kabul city considering technical, environmental, and financial control schemes for the network improvement. Three different scenarios with various objective functions are deemed to evaluate their impact on decision variables and network parameters. Furthermore, optimum allocation of the wind turbine and charge/discharge scheduling of BESS are revealed with improvement in performance of the power system. Simulations are deployed in MATLAB (R) with its application on developed 162-bus real-distribution network to demonstrate the effect of different objective function arrangements in each scenario as well as confirming the robustness of the proposed approach.

关键词： distribution networks genetic algorithms battery storage plants wind turbines wind power plants power supply quality power generation economics power generation scheduling solar power stations multiobjective integration wind farm battery energy storage system real-distribution network renewable energies ESS power system engineering BESS power sector power quality multiobjective optimisation technique nondominated sorting genetic algorithm II extensive distribution network technical control schemes financial control schemes network improvement network parameters wind turbine objective function arrangements battery ESS electricity production decision variables optimum allocation charge-discharge scheduling Matlab solar energy

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Virtual prototyping and pre-sizing methodology for buck DC-DC converters using genetic algorithms

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IET POWER ELECTRONICS 2012年第1期5卷 41-52页

作者： Lefranc, P. Jannot, X. Dessante, P. Supelec E3S Dept Power & Energy Syst F-91192 Gif Sur Yvette France

In this article, the authors study the pre-sizing approach of DC-DC buck converters useful for electronics and system designers. The pre-sizing step in an indutrial process is suitable to obtain a preliminary precise sizing of a sub-system (here a buck DC-DC converter): it permits the system designer to perform a feasibility analysis of an overall system (e. g. that contains a buck DC-DC converter). First, static modelling of power devices is proposed: MOSFET, diode, inductor and heatsink. According to an industrial context, the MOSFETs, diodes and heatsinks fitting curves are issued from the manufacturer's datasheets. Second, the objective functions are explained in the case of mixed integer programming problems. Then, the optimisation variables and constraints are highlighted. Third, a section describes the choice of a multi-objective optimisation technique that leads to genetic algorithms (GAs). Fourth, the optimisation results are given. The choice of a final solution of the pre-sizing approach is discussed, considering additional constraints such as diode and MOSFET junctions temperatures, switching frequency etc. The authors focus on the general aspect of the optimisation method proposed here. It can also be used by power electronics designers with the help of additional constraints in accordance to their specific applications.

关键词： power MOSFET multiobjective optimisation technique presizing methodology indutrial process optimisation Transformers and reactors industrial context optimisation techniques power devices static modelling diodes power electronics designer manufacturer datasheet MOSFET junction temperature heatsink fitting curve Industrial applications of IT power heatsink heat sinks DC-DC power convertors genetic algorithm power inductor buck DC-DC converter integer programming Power convertors and power supplies to apparatus Design power diode power inductors objective function virtual prototyping mixed integer programming problem system designer genetic algorithms

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Neoteric HANFISC-SSSC based on MOPSO technique aimed at oscillation suppression of interconnected multi-source power systems

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IET GENERATION TRANSMISSION & DISTRIBUTION 2016年第7期10卷 1728-1740页

作者： Falehi, Ali Darvish Mosallanejad, Ali Shahid Beheshti Univ Dept Elect Engn AC Tehran Iran

Alleviating dynamic oscillations of the tie-line power exchange and area frequencies in affected interconnected power systems caused by loading condition changes is the prominent responsibility of automatic generation control (AGC). To compensate such the load-changes and also suppress these oscillations, the application of the flexible AC transmission systems (FACTS) can be assigned as one of the practical and effective approaches. In this study, the static synchronous series compensator (SSSC) which is one the series FACTS families is engaged to enhance the overall dynamic performance of multi-area multi-source interconnected power system. Likewise, accomplished endeavours in this regard are led to exude the hierarchical adaptive neuro fuzzy inference system controller-SSSC (HANFISC-SSSC) to suppress both prominent issues in multi-area interconnected power systems i. e.: the low frequency oscillations and the tie-line power exchange deviations. Hereof also, implementation of multi-objective optimisation technique is not avoidable. Due to high efficiency of multi objective particle swarm optimisation (MOPSO) to unravel the non-linear objectives, it has been used to solve the optimisation problem. To verify the high performance of suggested HANFISC-SSSC, two different multi-area interconnected power systems i. e.: two-area hydro-thermal-diesel and three-area hydro-thermal power systems have been considered for this study. In the interim, the capability of HANFISC-SSSC has been perfectly and precisely evaluated and compared with conventional SSSC by incidence of the step load perturbation in all areas of both the test power systems. To sum up, the simulations results obtained from both the power systems have transparently corroborated high performance of HANFISC-SSSC compared with conventional SSSC.

关键词： particle swarm optimisation flexible AC transmission systems power system interconnection adaptive control fuzzy neural nets fuzzy control neurocontrollers power transmission control hierarchical systems neoteric HANFISC-SSSC on MOPSO technique oscillation suppression flexible AC transmission systems FACTS static synchronous series compensator multiarea multisource interconnected power system hierarchical adaptive neuro fuzzy inference system controller low frequency oscillations tie-line power exchange multiobjective optimisation technique multiobjective particle swarm optimisation MOPSO

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Multi-objective optimisation technique for coupling matrix synthesis of lossy filters

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IET MICROWAVES ANTENNAS & PROPAGATION 2013年第11期7卷 926-933页

作者： Zhao, Yuting Wang, Gang Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei 230027 Peoples R China Univ Sci & Technol China Key Lab Electromagnet Space Informat Hefei 230027 Peoples R China

Coupling matrix synthesis technique based on multi-objective evolutionary algorithm (MOEA) is proposed for pseudoelliptic low-pass filter prototypes with lossy resonators and arbitrary topology. MOEA-based synthesis can deal with multi-objective functions so that different filter characteristics of high-performance lossy filter, such as return loss, out of band rejection and passband flatness, can be optimised simultaneously. In the proposed MOEA-based lossy filter synthesis, a chromosome pair coding model is defined to treat real and imaginary parts of complex coupling matrix of a lossy filter, and additional constraints on Q-factor to characterise lossy resonator in the filter are applied. For demonstration, non-dominated sorting genetic algorithm II with extended arithmetic crossover and adaptive mutation operator are used to synthesise three symmetric/asymmetric lossy filters. The results indicate that the proposed MOEA-based synthesis technique can provide perfect passband ripple as required in high-performance microwave filters.

关键词： elliptic filters genetic algorithms low-pass filters microwave filters resonators multiobjective optimisation technique coupling matrix synthesis technique multiobjective evolutionary algorithm pseudoelliptic low-pass filter prototypes lossy resonators arbitrary topology multiobjective functions filter characteristics high-performance lossy filter return loss out-of-band rejection passband flatness MOEA-based lossy filter synthesis chromosome pair coding model nondominated sorting genetic algorithm II extended arithmetic crossover adaptive mutation operator symmetric-asymmetric lossy filters perfect passband ripple high-performance microwave filters

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