Optimisation of power electronics for regulated transformer rectifier units

Mallik, Ayan; Singh, Akshay; Khaligh, Alireza

doi:10.1049/iet-pel.2019.0915

Cited by 6 publications

(2 citation statements)

References 36 publications

(50 reference statements)

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“…battery charge and rectifier unit (BCRU) and two-stage power conversion (ac-dc-dc converters) [47]. An optimization method was proposed and utilized to design a regulated TRU for MEA in [48].  ATU is a transformer unit to convert the primary ac bus to 115ph Vac with variable frequency between 350-800 Hz or a fixed frequency at 400 Hz to supply loads.…”

Section: E Architecture Of Electric Power Systemsmentioning

confidence: 99%

Electric Power Systems in More and All Electric Aircraft: A Review

2020

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Narrow body and wide body aircraft are responsible for more than 75% of aviation greenhouse gas (GHG) emission and aviation, itself, was responsible for about 2.5% of all GHG emissions in the United States in 2018. This situation becomes worse when considering a 4-5% annual growth in air travel. Electrified aircraft is clearly a promising solution to combat the GHG challenge; thus, the trend is to eliminate all but electrical forms of energy in aircraft power distribution systems. However, electrification adds tremendously to the complexity of aircraft electric power systems (EPS), which is dramatically changing in our journey from conventional aircraft to more electric aircraft (MEA) and all electric aircraft (AEA). In this paper, we provide an in-depth discussion on MEA/AEA EPS: electric propulsion, distributed propulsion systems (DPS), EPS voltage levels, power supplies, and EPS architectures are discussed. Publications on power flow (PF) analysis and management of EPS are reviewed, and an initial schematic of a potential aircraft EPS with electric propulsion is proposed. In this regard, we also briefly review the components required for MEA/AEA EPS, including power electronics (PE) converters, electric machines, electrochemical energy units, circuit breakers (CBs), and wiring harness. A comprehensive review of each of the components mentioned above or other topics except for those related to steady state power flow in MEA/AEA EPS is out of this paper's scope and should be found somewhere else. At the close of the paper, some challenges in the path towards AEA are presented. Unless the discussed challenges are satisfactorily addressed and solved, arriving at an AEA that can properly operate over commercial missions will not be possible. INDEX TERMS aircraft electrification, all electric aircraft (AEA), electric power system (EPS), more electric aircraft (MEA), power distribution system, steady state power flow analysis.

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Section: E Architecture Of Electric Power Systemsmentioning

confidence: 99%

Electric Power Systems in More and All Electric Aircraft: A Review

2020

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“…With the rapid development of the economy and technology, a large number of optimization problems have appeared in scientific research and actual industrial production, such as the transportation field [1], [2], the power field [3], [4], the material field [5], [6], the communication field [7], [8], the mechanical field [9], [10] and e-commerce field [11], [12], and etc. These problems are usually inferior in nature, that is, non-differentiable, non-linear, etc.…”

Section: Introductionmentioning

confidence: 99%

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Guo

Yu³

et al. 2022

IEEE Access

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Mayfly algorithm is a new intelligent optimization algorithm with unique optimization capabilities recently proposed. It has strong research value, but there are also insufficient explorations, and it is easy to fall into the problem of local optimization. This paper aims to improve the optimization performance of the mayfly algorithm and explore its application value in practical engineering optimization problems. An improved mayfly algorithm based on the median position of the group is proposed. In its velocity update, the median position of the group is introduced with emphasis, and a non-linear gravity coefficient is introduced at the same time. Through the benchmark test function, its superiority in exploitation, convergence speed and accuracy and the improvement of exploration are verified. At the same time, the simulation model of the hydro-turbine governor using MATLAB/Simulink is established, and 10% frequency disturbance experiments of this model are carried out separately in two typical working conditions. The experiments results show that the optimal ITAE index value of the system obtained by the improved mayfly algorithm is smaller, and 16.5 and 18.1 iterations to complete on average. In addition, the experiments results reveal that the PID parameters optimized by the improved mayfly algorithm can make the dynamic performance of the regulation system better than other popular swarm intelligence algorithms, where the overshoot decreased by more than 3.1%, and the adjustment time also decreased in different degrees. The proposal of the median position of the group provides a new idea for the improvement of the swarm intelligence optimization algorithm. Meanwhile, a new effective method for optimizing the PID parameters of the hydro-turbine governor has been found.

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