State Grid Corporation of China

North China Electric Power University

State Grid Digital Technology Holding Co., Ltd.

State Grid Blockchain Technology (beijing) Co., Ltd.

Jiangxi Power Exchange Center Co., Ltd.

Beijing Power Exchange Center Co., Ltd.

Liaoning Power Exchange Center Co., Ltd.

East Inner Mongolia Power Exchange Center Company Ltd.

State Grid Electric Vehicle Service Ltd.

Desheng Bai

Dong Wang

Wen Jie Wang

Nan Zhang

Yue Hua Zhang

Liang Zhao

Zhe Zhang

Kai Xie

Xian Wei Zhang

Da Li

Tong Xing

Jiaxing Xuan

Lihua Zhao

Guomin Li

Dunnan Liu

Fan Jia

Heping Jia

Chao Yang

Lingxiang Wang

Ye Yang

Mingguang Liu

Yonghui Liu

Zhan Su

Hejian Wang

Tian Sun

Xin Li

Hexiao Liang

Haiqing Jia

Gang Chen

Shengnan Zhang

Kun Fan

Qingchun Li

Shengzhi Lu

Jingli Feng

Wen Xie

Shijie Ji

Mengjiao Zou

Shu Su

Xiaofeng Peng

The present disclosure provides a blockchain-based green power certification method, apparatus, and system, to pre-process obtained basic data to obtain proof-of-existence data, certify the proof-of-existence data from a production side and a consumption side by using a certification chain and a token chain respectively, and obtain a green power attribute certificate and a green power consumption label if the certification is passed; generate a unique digital identifier for the green power attribute certificate and the green power consumption label separately based on a non-fungible token (NFT), which realizes non-interchangeability, indivisibility, and other characteristics of the certificate and the identifier; and supervise and verify a certification process by using a chain of custody, and generate a corresponding unique blockchain identifier for the certification chain, the token chain, and the chain of custody separately through multi-chain interaction, so as to realize data interaction between blockchains.

Blockchain-based green power certification method, apparatus, and system

The invention relates to an optimal allocation method for stored energy coordinating electric vehicles (EVs) to participate in auxiliary service market (ASM), including the following steps: 1. Predict the reported capacity of daily 96 points for EVs to participate in the ASM by least square support vector machine (LSSVM). 2. Fit the daily total load distribution of EVs. 3. Determine the error distribution between the reported capacity and the actual response capacity, and simulate the total daily load capacity of EVs in the future with Monte Carlo method. 4. Calculate the energy storage capacity required by EVs daily participating in ASM. 5. Build the objective function to minimize the scheduling risk of auxiliary service. 6. Solve the energy storage model in step 5 with particle swarm optimization (PSO), and output the configuration results of optimal energy storage capacity and energy storage power. The invention can improve the adjustable capacity of EVs participating in ASM.

Optimal allocation method for stored energy coordinating electric vehicles to participate in ancillary service market

Growing community of inventors

Beijing, China

Desheng Bai