Sixty percent of the smart grid 863 special fund will be invested in the "Scenery" interconnection
"Intermittent energy interconnection is the most urgently needed technology, with 60% of the smart grid 863 earmarked for this technology." Jiang Xiuchen, deputy leader of smart grid 863 major special expert group and director of the Institute of Intelligent Power Equipment Technology, said that the country will invest 250 million yuan in intermittent energy grid technology this year. According to the expectation that the annual fund input will increase by 20%, the investment is expected to increase to 300 million yuan next year.
"Scenery" into the grid into a special support focus
Wind and solar energy are known as intermittent energy, and their interconnection is easy to cause an impact on the safety of the power grid, so the corresponding interconnection technology needs to be improved urgently. Therefore, the first phase of the smart grid 863 Major project launched in 2010 included the power grid absorbing intermittent energy technology.
Jiang revealed that this year, photovoltaic, solar energy grid technology investment will account for more than 60% of the smart grid 863 major special investment, a total investment of 250 million yuan. He expects real investment to rise sharply next year.
It is understood that the smart grid 863 Major special plan for wind power, photovoltaic access system technology support range includes: theoretical research, standard formulation, low voltage crossing device, power prediction software, etc. "Wind and solar are urgently needed." "Said Jiang.
According to relevant plans, China's installed wind power capacity will exceed 9,000 kw by 2015 and 150 gw by 2020. China's installed solar power capacity will reach 15 million kilowatts in 2015. But large-scale installations of wind and solar power are not good for a grid that needs to be safe and run smoothly. Industry insiders pointed out that wind power and solar power output have the characteristics of randomness and volatility, resulting in low accuracy of wind power and solar power prediction
