电网与清洁能源
電網與清潔能源
전망여청길능원
ADVANCES OF POWER SYSTEM & HYDROELECTRIC ENGINEERING
2015年
6期
117-123
,共7页
薛云灿%李彬%王思睿%蔡昌春
薛雲燦%李彬%王思睿%蔡昌春
설운찬%리빈%왕사예%채창춘
光伏系统%自适应变步长%最大功率点跟踪%占空比
光伏繫統%自適應變步長%最大功率點跟蹤%佔空比
광복계통%자괄응변보장%최대공솔점근종%점공비
photovoltaic system%adaptive variable step-size%MPPT%duty cycle
提出了一种基于功率二次微分的改进最大功率点跟踪(MPPT)算法(简称PQD-MPPT算法).算法在系统启动时采用恒定占空比启动,并给出了恒定占空比的求解公式,提出了根据功率变化量来调整跟踪步长的方法,当功率变化较大时,采用自适应大步长以使系统快速跟踪到最大功率点附近,反之较小时,根据功率对占空比的二次微分值的正负进一步划分跟踪区域:即当功率二次微分值为正时,采用固定大步长以使系统快速跟踪到最大功率点附近;当功率二次微分值为负时,采用自适应小步长以使系统能够稳定工作在最大功率点处.实验结果表明,与现有变步长MPPT算法相比,该算法具有良好的跟踪性能.
提齣瞭一種基于功率二次微分的改進最大功率點跟蹤(MPPT)算法(簡稱PQD-MPPT算法).算法在繫統啟動時採用恆定佔空比啟動,併給齣瞭恆定佔空比的求解公式,提齣瞭根據功率變化量來調整跟蹤步長的方法,噹功率變化較大時,採用自適應大步長以使繫統快速跟蹤到最大功率點附近,反之較小時,根據功率對佔空比的二次微分值的正負進一步劃分跟蹤區域:即噹功率二次微分值為正時,採用固定大步長以使繫統快速跟蹤到最大功率點附近;噹功率二次微分值為負時,採用自適應小步長以使繫統能夠穩定工作在最大功率點處.實驗結果錶明,與現有變步長MPPT算法相比,該算法具有良好的跟蹤性能.
제출료일충기우공솔이차미분적개진최대공솔점근종(MPPT)산법(간칭PQD-MPPT산법).산법재계통계동시채용항정점공비계동,병급출료항정점공비적구해공식,제출료근거공솔변화량래조정근종보장적방법,당공솔변화교대시,채용자괄응대보장이사계통쾌속근종도최대공솔점부근,반지교소시,근거공솔대점공비적이차미분치적정부진일보화분근종구역:즉당공솔이차미분치위정시,채용고정대보장이사계통쾌속근종도최대공솔점부근;당공솔이차미분치위부시,채용자괄응소보장이사계통능구은정공작재최대공솔점처.실험결과표명,여현유변보장MPPT산법상비,해산법구유량호적근종성능.
An improved maximum power point tracking (MPPT) algorithm based on power quadratic differential (in brief,PQD-MPPT algorithm) is proposed in this paper. The constant duty cycle method is adopted in its initial stage in the improved algorithm and the solving formula of the constant duty cycle is put forward. The adjustment method of the step according to the variation of power is also presented. When the power changes greatly,an adaptive large step is adopted to make the system to track near the maximum power point quickly. Otherwise, the tracking areas are divided into two parts according to whether the power quadratic differential is positive or negative. When the power quadratic differential is positive,a fixed large step is adopted to make the system to track near the maximum power point quickly. Otherwise,an adaptive small step is adopted to make the system to work stably at the maximum power point. The experimental results show that by comparison with the existing variable step MPPT algorithm,the improved algorithm has better tracking performance.