Optimized switching scheme of cascaded H-bridge multilevel inverter using PSO

The paper uses particle swarm optimization (PSO) to determine the optimum switching angles of cascaded H-bridge multilevel inverter (CH-MLI) so as to produce the required fundamental voltage and reduce the harmonic content. This is done by solving the transcendental equations characterizing the harmonic content. The validity of the proposed method is verified through simulation studies for three-phase, five-level CH-MLI. To compare the results obtained using PSO, the simulation studies have been extended for three-phase, five-level CH-MLI using sinusoidal pulse width modulation (SPWM). The results obtained using PSO are found superior as compared to SPWM in terms of total harmonic distortion at different modulation indices.     

基于电量共享的梯级水光蓄联合发电系统优化调度策略

为对偏远地区的含有抽水蓄能、梯级水电、光伏电站联合运行的多能发电系统进行互补式经济优化,搭建多乡镇级用电体之间的日前电量共享协调优化模型,通过区域运营商对构成乡镇联合体的各用电体进行协调管控,实现用电计划的经济高效制定.通过调用抽水蓄能进一步平滑水光出力波动,对乡镇级用电体、区域电网与主网之间的能量流动进行优化,并按参...     

含分布式发电的配电网多目标无功优化策略研究

为以最省的无功设备投资、最大限度地保证系统经济运行,增加解决问题的灵活性,研究了含分布式发电(DG)的配电网多目标无功优化策略,即构建含DG的配电网多目标无功优化模型。运用自适应多目标粒子群(AMOPSO)算法求解此问题,一改传统将多目标问题转化为单目标求解的做法。为验证所提策略,以含DG的IEEE 33节点系统为例,将AMOPSO应用于以最小化系统有功网损和最小化无功补偿设备容量（投资）为目标函数的多目标无功优化问题。仿真表明,采用该策略为决策者提供了可供选择的多样性解;优化结果验证了所建多目标模型的优越性和所提算法应用的可行性和有效性。