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At the 2016 China Photovoltaic Leaders Summit Forum held on April 26, Ding Jie, deputy director of the New Energy Research Institute of the China Electric Power Research Institute, said in a keynote speech that photovoltaic power generation has been generated for many years, and everyone knows that photovoltaic power plants are different from conventional power stations, and due to wind power, the intermittency and randomness of photovoltaic power generation have brought many grid-connected problems
.
Many power stations are plagued by light abandonment and power rationing, and often do not pay enough attention
to problems caused by voltage stability, system frequency regulation and peak shaving, power quality problems and islands.
Ding Jie also said that although the domestic power station has been in operation for many years, there are still many problems, from the construction of the power station, quality acceptance, long-distance travel to the later evaluation, some problems are mainly manifested in the power attenuation of photovoltaic modules, photovoltaic module cracking, photovoltaic module hot spot phenomenon, photovoltaic module adaptation deviation and photovoltaic module power generation uneven.
On the other hand, from the perspective of the photovoltaic system platform, it should be said that the accuracy is relatively poor and the application efficiency is low
.
The more prominent points are: first, the weather station lacks maintenance, the test accuracy is less than 5%, and many are in an abnormal state; Second, the power station monitoring system is not ideal, the monitoring accuracy is not accurate, the data packet loss rate is high, and some power stations are limited by hardware and software resources, and historical detailed data are not saved; Third, more monitoring systems are transformed by SCADA systems of non-photovoltaic power plants, and the pertinence is generally poor, especially the alarm function cannot accurately locate the fault point and cannot meet the actual needs of photovoltaic operation and maintenance; Fourth, a large amount of data formed by large group photovoltaic power station groups, and the traditional power station-level data platform is difficult to be competent for the storage and management of massive data; Fifth, traditional data platforms lack targeted mining and are difficult to make a difference
.
Ding Jie also summarized the existing problems: first, the security of large-capacity grid-connected, second, the quality of photovoltaic power generation, and third
, photovoltaic data monitoring and utilization.
At the same time, Ding Jie also gave a solution, one is to improve the grid-connected control technology of photovoltaic power plants, the second is to do a good job in the evaluation technology of photovoltaic power plant power generation performance, and the third is to use the photovoltaic intelligent data platform function to continuously provide optimization and improvement
for photovoltaic power generation operation and maintenance.
At the 2016 China Photovoltaic Leaders Summit Forum held on April 26, Ding Jie, deputy director of the New Energy Research Institute of the China Electric Power Research Institute, said in a keynote speech that photovoltaic power generation has been generated for many years, and everyone knows that photovoltaic power plants are different from conventional power stations, and due to wind power, the intermittency and randomness of photovoltaic power generation have brought many grid-connected problems
.
Many power stations are plagued by light abandonment and power rationing, and often do not pay enough attention
to problems caused by voltage stability, system frequency regulation and peak shaving, power quality problems and islands.
Ding Jie also said that although the domestic power station has been in operation for many years, there are still many problems, from the construction of the power station, quality acceptance, long-distance travel to the later evaluation, some problems are mainly manifested in the power attenuation of photovoltaic modules, photovoltaic module cracking, photovoltaic module hot spot phenomenon, photovoltaic module adaptation deviation and photovoltaic module power generation uneven.
On the other hand, from the perspective of the photovoltaic system platform, it should be said that the accuracy is relatively poor and the application efficiency is low
.
The more prominent points are: first, the weather station lacks maintenance, the test accuracy is less than 5%, and many are in an abnormal state; Second, the power station monitoring system is not ideal, the monitoring accuracy is not accurate, the data packet loss rate is high, and some power stations are limited by hardware and software resources, and historical detailed data are not saved; Third, more monitoring systems are transformed by SCADA systems of non-photovoltaic power plants, and the pertinence is generally poor, especially the alarm function cannot accurately locate the fault point and cannot meet the actual needs of photovoltaic operation and maintenance; Fourth, a large amount of data formed by large group photovoltaic power station groups, and the traditional power station-level data platform is difficult to be competent for the storage and management of massive data; Fifth, traditional data platforms lack targeted mining and are difficult to make a difference
.
Ding Jie also summarized the existing problems: first, the security of large-capacity grid-connected, second, the quality of photovoltaic power generation, and third
, photovoltaic data monitoring and utilization.
At the same time, Ding Jie also gave a solution, one is to improve the grid-connected control technology of photovoltaic power plants, the second is to do a good job in the evaluation technology of photovoltaic power plant power generation performance, and the third is to use the photovoltaic intelligent data platform function to continuously provide optimization and improvement
for photovoltaic power generation operation and maintenance.