On April 1, Jinfeng Technology officially released the “Integrated Solution for Wind Storage and Wisdom”, which integrates wind storage DC coupling technology, AI economy allocation and storage and intelligent trading decision-making into a complete set of market-oriented operation system to help investors capture new opportunities in the new energy industry.
With the rapid evolution of new energy policies, the innovative value of wind-storage integration is being released at an accelerated pace. As a “stabilizer” of the power grid, energy storage has never been an independent functional module-putting it into the field of multi-energy integration can further activate the intrinsic value of various energy forms. In the wind-storage fusion model, DC coupling allows the two to form a whole with faster response, more accurate control and stronger market participation.
wind storage coupling amplification value multiplier
the core support of the integrated solution of wind storage and intelligence, is the network-type wind storage integrated machine independently developed by Goldwind Technology. The product’s wind storage shares the same set of controllers, millisecond-level coordinated response, to achieve 100 percent full-capacity network coverage, fundamentally eliminating the risk of resonance (current and voltage oscillation) in the multi-machine parallel AC scheme. In terms of efficiency, charging and discharging only require two-stage conversion, which is about 3% higher than the five-stage conversion efficiency of the centralized AC scheme, and the comprehensive efficiency of the system exceeds 89%, which is significantly higher than that of the traditional AC wind storage scheme. At the engineering level, shared box change, under-machine installation, free land acquisition, technical transformation declaration without power grid approval, comprehensive initial investment is about 10% lower than the centralized scheme, for investors to significantly reduce the burden.
from “one size fits all” to precise investment
just like no outstanding star can win the competition under the wrong tactical configuration, the scientific configuration of energy storage deeply affects the overall effectiveness of wind storage integration. Jinfeng Technology uses AI technology to construct an economic evaluation model. Based on the historical power generation curve, wind abandonment law and local electricity price characteristics of the station, Jinfeng Technology deduces the full-cycle income scenarios under different allocation and storage schemes, outputs the exclusive optimal power ratio and energy storage duration for each station, and replaces the “one-station, one-policy” flexible allocation logic with the “one-size-fits-all” traditional mode of 10% ~ 20% power ratio, ensure that energy storage investments are truly aligned with earnings expectations. After the application of this scheme, the annual power generation income of the station can be increased by 20%-30%, and the internal rate of return (IRR) of the whole station can be increased by 1%-3%.
new energy stations become “smart players”
power trading is the “last kilometer” of wind storage fusion value realization “. Jinfeng’s self-developed “wind storage joint trading auxiliary decision-making platform” drives electricity price prediction, automatic execution of charge and discharge strategies and participation of auxiliary services by AI algorithms, with the reporting strategy reaching an excellent rate of 80% and the response time compressed to 5 minutes. Fans and energy storage equipment are no longer pure power suppliers, but market participants with active prediction and real-time decision-making capabilities.
jinfeng technology’s “integrated solution of wind storage and intelligence” has been verified in practice. Jiangsu Xiangshui Dayou Project is the country’s first wind storage integrated batch renovation project. The measured annual battery attenuation is only 1.6, the system efficiency exceeds 88%, and the IRR is as high as 6% in 20 years. Hebei Shangyi Construction Network Demonstration Project, as the largest construction network wind power project in the country, reduces the construction cost by more than 30% compared with the traditional scheme. The 15-year revenue model of Moorabool wind farm in Australia shows that, the EPC cost of the Jinfeng Wind Storage All-in-One scheme is 21% lower than that of the centralized scheme, with an average annual increase of A $4.8 million.
