In recent years, the penetration of renewable energy sources (RES) is increasing due to energy and environmental issues, causing several problems in the power system. These problems are usually more apparent in microg...In recent years, the penetration of renewable energy sources (RES) is increasing due to energy and environmental issues, causing several problems in the power system. These problems are usually more apparent in microgrids. One of the problems that could arise is frequency stability issue due to lack of inertia in microgrids. Lack of inertia in such system can lead to system instability when a large disturbance occurs in the system. To solve this issue, providing inertia support to the microgrids by a virtual synchronous generator (VSG) utilizing energy storage system is a promising method. In applying VSG, one important aspect is regarding the set value of the active power output from the VSG. The amount of allocated active power during normal operation should be determined carefully so that the frequency of microgrids could be restored to the allowable limits, as close as possible to the nominal value. In this paper, active power allocation of VSG using particle swarm optimization (PSO) is presented. The results show that by using VSG supported by active power allocation determined by the method, frequency stability and dynamic stability of the system could be improved.展开更多
This paper deals a detailed performance investigation of asymmetrical six-phase grid connected induction generator(GCIG)in two proposed configurations in variable speed operation.During the system development,regulati...This paper deals a detailed performance investigation of asymmetrical six-phase grid connected induction generator(GCIG)in two proposed configurations in variable speed operation.During the system development,regulation of DC-link voltage has been proposed using particle swarm optimization(PSO)based PI controller,ensuring the power flow to utility grid through back to back converters.The closed loop operation of asymmetrical six-phase GCIG using indirect field oriented control in different configurations has been carried out in Matlab/Simulink environment.Analytical results have been verified using real time test results on virtual platform of Typhoon HIL supported with some experimental validation.展开更多
以无刷双馈风力发电机(BDFG)为研究对象,建立BDFG的优化设计模型,提出相应的优化目标、优化变量和约束条件。针对粒子群优化(PSO)算法易出现早熟收敛及陷入局部最优的现象,提出一种全参数振荡粒子群优化(OAPS-PSO)算法。在此基础上,采用...以无刷双馈风力发电机(BDFG)为研究对象,建立BDFG的优化设计模型,提出相应的优化目标、优化变量和约束条件。针对粒子群优化(PSO)算法易出现早熟收敛及陷入局部最优的现象,提出一种全参数振荡粒子群优化(OAPS-PSO)算法。在此基础上,采用OAPS-PSO算法对一台5 k W的BDFG样机进行优化设计,分别以有效材料成本最低和平均效率最高为优化目标,得出两套BDFG优化方案。结果表明,通过优化可使样机的有效材料成本下降6.9%或平均效率提高3.3%,说明该文提出的OAPS-PSO算法可有效应用于BDFG的优化设计。展开更多
文摘In recent years, the penetration of renewable energy sources (RES) is increasing due to energy and environmental issues, causing several problems in the power system. These problems are usually more apparent in microgrids. One of the problems that could arise is frequency stability issue due to lack of inertia in microgrids. Lack of inertia in such system can lead to system instability when a large disturbance occurs in the system. To solve this issue, providing inertia support to the microgrids by a virtual synchronous generator (VSG) utilizing energy storage system is a promising method. In applying VSG, one important aspect is regarding the set value of the active power output from the VSG. The amount of allocated active power during normal operation should be determined carefully so that the frequency of microgrids could be restored to the allowable limits, as close as possible to the nominal value. In this paper, active power allocation of VSG using particle swarm optimization (PSO) is presented. The results show that by using VSG supported by active power allocation determined by the method, frequency stability and dynamic stability of the system could be improved.
文摘This paper deals a detailed performance investigation of asymmetrical six-phase grid connected induction generator(GCIG)in two proposed configurations in variable speed operation.During the system development,regulation of DC-link voltage has been proposed using particle swarm optimization(PSO)based PI controller,ensuring the power flow to utility grid through back to back converters.The closed loop operation of asymmetrical six-phase GCIG using indirect field oriented control in different configurations has been carried out in Matlab/Simulink environment.Analytical results have been verified using real time test results on virtual platform of Typhoon HIL supported with some experimental validation.
文摘为了进一步提高ISG混合动力汽车的整车动力性与燃油经济性,在完成动力系统参数匹配之后,利用Advisor软件建立了仿真顶层模型,以验证参数匹配与部件选取的可行性;在此基础上,选取传动系主减速器速比和变速器各档速比为优化变量,动力性能相关要求为约束条件,采用粒子群优化(PSO)算法对传动系参数进行优化.仿真结果表明,优化后的最大爬坡度增加了4.3%,100 km燃油消耗降低了0.8 L,0~100 km/h加速时间减少了1.4 s.
文摘以无刷双馈风力发电机(BDFG)为研究对象,建立BDFG的优化设计模型,提出相应的优化目标、优化变量和约束条件。针对粒子群优化(PSO)算法易出现早熟收敛及陷入局部最优的现象,提出一种全参数振荡粒子群优化(OAPS-PSO)算法。在此基础上,采用OAPS-PSO算法对一台5 k W的BDFG样机进行优化设计,分别以有效材料成本最低和平均效率最高为优化目标,得出两套BDFG优化方案。结果表明,通过优化可使样机的有效材料成本下降6.9%或平均效率提高3.3%,说明该文提出的OAPS-PSO算法可有效应用于BDFG的优化设计。
