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Optimal design of linear switched reluctance motor for sea wave power generation

Global Energy Interconnection 2022年第4期5卷 434-447页

作者： Zhao Xin Dongqin Xiong Teng Yun Zhe Chen Guangwei Liu School of Electrical Engineering Shenyang University of TechnologyShenyang110870P.R.China Jing-Jin Electric Technologies Co.Ltd. Beijing 100015P.R.China Department of Engineering and Science Aalborg UniversityAalborg 639220Denmark

The switchless reluctance motor’s non-permanent magnet structure design ensures its high reliability in the marine environment;thus,it is a feasible solution for the generator of a sea wave power generation system.However,the corresponding thrust density and efficiency remain insufficient.This study focused on a new type of flat linear switched reluctance motor(LSRM),using the finite element software to establish a structural model,and optimized the design with the goal of improving the efficiency and energy density.The entropy method was adopted for sensitivity stratification to objectively select weights to avoid the influence of subjectively selected different proportional weights on the optimization results.Based on the entropy method,the sensitivity of different structural parameters was stratified,and the simulated annealing algorithm,response surface method,and single parameter scanning method were combined for optimization.Finally,the optimal structural size parameters of the motor were determined.Based on the two-dimensional finite element method,to simulate the electromagnetic performance of the reluctance motor under different operating conditions,such as thrust,loss,and efficiency,changes in motor performance before and after optimization were compared to verify the high power generation efficiency and energy density of the optimized linear motor.

关键词： Linear switch reluctance motor Wave power Hierarchical optimization generation efficiency

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Innovated Inertia Control of DFIG with Dynamic Rotor Speed Recovery

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CSEE Journal of Power and Energy Systems 2022年第5期8卷 1417-1427页

作者： Huanjing Lao Li Zhang Tong Zhao Liang Zou School of Electrical Engineering Shandong UniversityJinan 250061China

High wind power penetration(WPP)is challenging system frequency stability.As a countermeasure,virtual inertia controls are introduced,utilizing kinetic energy(KE)stored in wind turbine generators(WTGs)for frequency regulation.Without restoration,generation efficiency of WTGs will be degraded after inertia contribution.To counter this issue,we propose an inertia control scheme of a doubly fed induction generator(DFIG),aiming at achieving dynamic inertia recovery regarding both KE and DC link energy.An asymmetrical droop control,referred to as the rate of change of frequency(RoCoF),is proposed for KE management.The upper boundary of droop gain is extended to give full play to converters and is revised,considering the system frequency state,to counter positive feedback issues induced by reversible gain regulation,which is restricted by KE to ensure stable operations as well.The inertial DC energy needed to cooperate with KE control regarding countering small fluctuations,is improved with an orderly recovery behavior.Case studies are conducted under dynamic wind conditions and the results indicate that with our proposed scheme,the ability of dynamic inertia recovery can be obtained,bringing DFIG higher generation efficiency and more adequate operation margin for sustained regulation.Essentially,the inertial frequency response and fluctuation suppression ability is well maintained.

关键词： Doubly fed induction generator(DFIG) dynamic rotor speed recovery frequency regulation generation efficiency high wind power penetration.

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2001-2012年全球23国新能源发电效率测算与驱动因素分析

产业经济

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产业经济 2016年第4期 321-332页

作者：李少林

新能源替代化石能源发电，已成为“雾霾治理”的重要手段，并在世界各国节能减排政策制定上达成广泛共识。本文将新能源发电的投入细分为太阳能装机容量、风能装机容量、地热能装机容量和生物燃料产量等四种形式，以新能源发电量作为新... 详细信息

新能源替代化石能源发电，已成为“雾霾治理”的重要手段，并在世界各国节能减排政策制定上达成广泛共识。本文将新能源发电的投入细分为太阳能装机容量、风能装机容量、地热能装机容量和生物燃料产量等四种形式，以新能源发电量作为新能源发电的产出指标，基于2001-2012年全球23个国家的平衡面板数据，对新能源发电的综合效率进行了基于Bootstrap-DEA方法的纠偏测算，并运用面板Tobit模型实证研究了新能源发电综合效率的驱动因素。研究发现：全球新能源发电的综合效率均呈现逐年上升态势；各国碳排放量并未构成新能源发电效率提升的倒逼机制；自然资源租金比重的提高促进了新能源发电效率的提升；城镇化率提升阻碍了新能源发电效率提升；人均收入水平较高的国家新能源发电效率普遍较高。本文提出应当提高新能源装机容量扩张政策与发电量提升政策的协同性，着力提升新能源发电效率，增加储能技术的研发投入，充分发挥地区自然资源禀赋优势，以破解“弃风限电”、“弃光限电”等制约新能源发展的瓶颈。

关键词：新能源发电效率节能减排驱动因素 Bootstrap-DEA模型 Tobit模型全球　　new energy generation efficiency energy saving and emission reduction driving factors Bootstrap-DEA model Tobit model global

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Optimization Control of Internal Combustion Engine-Compressed Air Energy Storage Cogeneration System Based on Genetic Algorithm

Optimization Control of Internal Combustion Engine-Compresse...

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第37届中国控制会议

作者： Xiaopeng Hai Xingguo Wei Ke Li Junjie Gao Chenghui Zhang School of Control Science and Engineering Shandong University

In order to make better use of new energy and improve the utilization rate of energy, much concern have been paid to large-scale energy storage and combined cooling, heating and power（CCHP） technology. This study proposes a novel combined cooling, heating and power（CCHP） system with compressed air energy storage（CAES）. In order to improve the power generation efficiency and operating economy of the system, the multi-objective optimization algorithm based on genetic algorithm is used to control the output power of the two subsystems. The results show that the efficiency of the gas internal combustion engine can be maintained at a high level, while operating cost is low, the output power can be selected according to the actual requirements.

关键词： combined cooling, heating and power compressed air energy storage multi-objective genetic algorithm generation efficiency economic analysis

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