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Management Board Meeting, Progress Report

WP1. Development of Novel Modular Generators and Converters. Management Board Meeting, Progress Report. 17 April 2019. Recruitment. Project Manager Keith DEAN (10/2017-) 3 RAs recruited (3 in proposal) Shaoshen XUE ( 11/2017-) Liren HUANG ( 5/2018-) Tao WANG ( 7/2018-)

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Management Board Meeting, Progress Report

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  1. WP1. Development of Novel Modular Generators and Converters Management Board Meeting, Progress Report 17 April 2019

  2. Recruitment Project Manager Keith DEAN (10/2017-) 3 RAs recruited (3 in proposal) ShaoshenXUE (11/2017-) Liren HUANG (5/2018-) Tao WANG (7/2018-) 9+3 PhDs recruited (10 in proposal) Yanxin LI (1/10/2014-30/12/2017) Jaime Maravi NIETO (9/2017- ) Ximeng WU (9/2017 - ) Jin XU (9/2017-) Dileepkumar KP (9/2017-) Yi WEI (10/2017-) TianyiLIU (12/2017-) SumeetSingh THAKUR (2/2018-) Rajesh KUMAR (3/2018-) Matthew AJ FENTON-JONES (9/2018-) Zeting MEI (10/2018-) No changes

  3. WP1. Development of Novel Modular Generators and Converters Progress against tasks for each Work Package and plan for next 3 months No change

  4. Meetings over last 3 months Project management meetings Weekly – Monday every week WP1 - Technical meetings Weekly (individual) – Every week Monthly (EMD team) – Last Monday of each month SGRE engineers at S2GRE attend the monthly technical meetings No change

  5. WP1.1. Development and design optimisation of novel modular balanced multi-3-phase direct-drive PM generators • 1PDRA & 2PhDs ->2PDRA & 3PhDs. (2PDRA on new machine topologies, full-size generators, scalability study, 1PhD on modular multi-3-phase generators, 1PhD on Transverse flux machine, 1PhD on Vernier machine) • Personnel: 2PDRAs +2PhDs • RA1: Dr ShaoshenXue (1/12/2017-) – Loss in PM generator & Superconducting machines • RA2: Dr Liren Huang (5/2018-) – Modular fractional slot PM generators • PhD1: Dileep Kumar (1/10/2017-) – Novel Vernier PM generator • PhD2: Rajesh Kumar (1/3/2018) – Novel transverse flux PM generator • PhD3: Yanxin Li (1/10/2014-30/12/2017) – Modular PM generators • Key issues: None No change

  6. WP1.1. Development and design optimisation of novel modular balanced multi-3-phase direct-drive PM generators • 1PDRA & 2PhDs ->2PDRA & 3PhDs. (2PDRA on new machine topologies, full-size generators, scalability study, 1PhD on modular multi-3-phase generators, 1PhD on Transverse flux machine, 1PhD on Vernier machine) • Highlights of Achievements: • Novel modular PM machines: • Modular PM generator with 2-coil-pitches: Proposed 2 new modular 2 coil-pitched machine topologies; initial performance evaluation and comparison with conventional generators. • Vernier generator: Detailed analysis of the proposed new machine topology; drafted and submitted a paper. • Transverse flux generators: 3D finite element investigation of mutual coupling between 3-phase modules. • SC generator: Investigation of SC topologies, SC size and location in the slot. • Future work over next 3 months: • Novel modular PM machines: • Modular PM generator with 2-coil-pitches: Optimisation and performance evaluation of 3kW and 10MW generators; file a patent. • Vernier generator: Investigation of scaling impact on Vernier machine performance, e.g. power factor, demagnetization, overall cost etc. • Transverse flux generators: 3D optimization of TFG and arrangement of permanent magnets. • SC generator: Investigation of SC machines with different slot pole combinationsand diameters; draft several papers.

  7. 1PDRA & 1PhD ->1PDRA & 3PhDs. (1PDRA on model predictive control, 1PhD on SiC converters, 1PhD on multi-3 phase modular converters and PWMs, 1PhD on multi-level AC-AC converter) • Personnel: 1PDRA +3PhDs • RA1: Tao Wang (1/7/2018-) – Model predictive control of wind power generation system • PhD1: Jin Xu (1/10/2017-) – Control of Multi-Three-Phase Permanent Magnet Wind Power Generators • PhD2: Sumeet Singh Thakur (1/2/2018-) – Mega-Watt AC-DC-AC Multilevel Wind Power Converters Key issues: None WP1.2. Development of novel modular multi-3-phase converters and control strategies No change

  8. 1PDRA & 1PhD ->1PDRA & 3PhDs. (1PDRA on model predictive control, 1PhD on SiC converters, 1PhD on multi-3 phase modular converters and PWMs, 1PhD on multi-level AC-AC converter) • Highlights of Achievements: • Model predictive control: Comparison of finite-control-set, continuous-control-set MPCs, & general predictive control, in terms of power quality & torque ripple. • Control of multi-three-phase PMSG: Investigate into the influences of asymmetric parameters on vector space decomposition model of dual 3-ph machines. • Modular high voltage AC-DC-AC converters: Investigation of effect of capacitor voltage ripple on the converter design (high frequency spectrum & capacitor ripple current). Experimental testing of single-phase dc-ac MMC. • Future work over next 3 months: • Model predictive control: Propose a new method of MPC; Systematic experimental comparison of various MPCs. • Control of multi-three-phase PMSG: Analysis of PWM based vector space decomposition. • Modular high voltage AC-AC converters:Continue experimental testing of 3-phase MMC. Analysis & control of back-to-back MMC without dc-pole capacitors. WP1.2. Development of novel modular multi-3-phase converters and control strategies

  9. Lead Partner: DU/Dong, Co-Partner: UoS(EMD); Resource: 1 PhD • Contact: Dr Christopher Crabtree, "CRABTREE C.J." c.j.crabtree@durham.ac.uk • Current state: • PhD studentship WP1.3. Robust power converter design for large scale wind turbine application

  10. WP1.4. Parasitic effect and sensitivity studies, including noise and vibration, bearing current and manufacturing tolerances, rotor eccentricities etc. 1PDRA & 2PhDs-> 0PDRA & 2PhDs. (PDRA will be allocated later, 1PhD on bearing current & CMV, 1PhD on generator vibration) Personnel: 2PhDs PhD1: Yi Wei (1/10/2017-) – High-frequency effects in inverter-fed electrical machines PhD2: Jaime Maravi (1/10/2015-) – Multi-physics investigation of DD PM Wind Power Generators Key issues: None No change

  11. WP1.4. Parasitic effect and sensitivity studies, including noise and vibration, bearing current and manufacturing tolerances, rotor eccentricities etc. 1PDRA & 2PhDs-> 0PDRA & 2PhDs. (PDRA will be allocated later, 1PhD on bearing current & CMV, 1PhD on generator vibration) Highlights of Achievements: High-frequency effect:Sensitivity analysis by considering end winding overhang and slot dimensions. Multi-physics investigation of DD PM Wind Power Generators: Complete the validation of the 84s28p mechanical model by analysing the stator assembly; a comprehensive report is completed. Future work over next 3 months: High-frequency effect: Continue sensitivity analysis by considering HF skin and proximity effects,slot insulation parameters, for different winding topologies, & cable. Multi-physics investigation of DD PM Wind Power Generators:Vibration measurement validation on the fractional-slot modular 42s32p; Finite element calculation of vibration response from force calculation.

  12. 2PhDs. (1PhD on self-sensing at zero/low speed for SPM generator, 1PhD on self-sensing under unbalanced or fault condition) • Personnel: 2PhDs • PhD1: Ximeng Wu (1/10/2016-) - Self-sensing at zero/low speed for SPM generator • PhD2: Tianyi Liu (1/12/2017-) - Self-sensing under unbalanced or fault condition Key issues: None WP1.5. Novel self-sensing control techniques for new modular generators No change

  13. 2PhDs. (1PhD on self-sensing at zero/low speed for SPM generator, 1PhD on self-sensing under unbalanced or fault condition) • Highlights of Achievements: • Self-sensing at zero/low speed for SPM generator: Refinement of mechanical rotor position estimation method, significant improvement of writing; 2 patents filed; 2 papers accepted by IEMDC19, 2 journal papers drafted and 1 submitted to TIE. • Self-sensing under unbalanced or fault condition: Refinement of general model considering the resistance, inductances, emf asymmetries; In-depth theoretical and experimental investigation of influence of asymmetric winding resistances and compensation. • Future work over next 3 months: Self-sensing at zero/low speed for SPM generator:Continue investigation of voltage pulse selection; investigation the influence of rotor eccentricity on sensorless control and its compensation, as well as extension to condition monitoring; finalise 1 journal paper. Self-sensing under unbalanced or fault condition: Identify, investigate and propose new methods to compensate the estimated position error due to asymmetries independent of machine asymmetric parameters; complete writing a paper. WP1.5. Novel self-sensing control techniques for new modular generators

  14. Identify any risks at Work Package level that should be brought to the attention of the Management Board. None Risks and Opportunities

  15. Publications: 1 TIA accepted; 2 papers accepted by IEMDC19, 2 digest2 submitted to ECCE19 & ICEMS19, 1 to PEDG, 1 submitted to TIE. Collaborations & Partnerships: ORE Catapult – Powertrain Research Hub formally announced Further Funding: £700k over 5 years, directed by Prof. Dave Stone, see above. £385k, Prof. ZQZhu RAE/Siemens Research Chair extended for further 5 years. Engagement Activities: EPSRC engineering panel meeting Research Tools & Methods: none IP & Licensing: 1 EU patent filed Software & Technical Products: none Spin Outs: none Awards & Recognition: none Other Outputs and Knowledge: none Use of Facilities and Resources: Outcomes and Outputs (ResearchFish)

  16. Lead Partner: UoS(EMD)/SWP, Co-Partner: DU; Resource: 2PhDs. • Overall: • 2 PhD students in position • Research topics identified and initial simulation carried out • PhD: Zeting Mei (10/2018-) • Topic: Fault Modelling and Diagnostics of Permanent Magnet Machines for Wind Power Application • Current State: Revised literature review report, initial finite element simulation of faulty permanent magnet generator • Next 3 months: Continue finite element simulation of faulty permanent magnet generator • PhD: Matthew Fenton-Jones (9/2018-) • Topic: Condition Monitoring and Prognostics of Wind Turbine Power Electronics • Current State: Many interactions with Siemens-Gamesa, topics identified, initial modelling started • Next 3 months: Continue modelling of power devices WP3.5. Generator and converter fault analyses, including open- and short-circuits, and health and condition monitoring

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