基于智能合约与可交易能源控制的风电消纳辅助决策技术

doi:10.12204/j.issn.1000-7229.2020.10.015

电力建设 ›› 2020, Vol. 41 ›› Issue (10): 133-141.doi: 10.12204/j.issn.1000-7229.2020.10.015

• 新能源发电 • 上一篇

基于智能合约与可交易能源控制的风电消纳辅助决策技术

杨春祥¹, 谢丽荣², 田若鹏¹, 马寅¹, 崔剑¹, 韩冰³, 伍朝显³, 薛飞³

1.国网甘肃省电力公司,兰州市 730050
2.国电南瑞科技股份有限公司,南京市 211106
3.西交利物浦大学,江苏省苏州市 215123

收稿日期:2020-04-29 出版日期:2020-10-01 发布日期:2020-09-30
通讯作者: 薛飞
作者简介:杨春祥(1975),男,硕士,高级工程师,主要研究方向为电力系统稳定运行与控制、电力市场化;|谢丽荣(1980),女,硕士,研究员级高级工程师,主要研究方向为电力系统稳定运行与控制、电力市场化;|田若鹏(1985),男,工程师,主要研究方向为电力系统稳定运行与控制、电力市场化;|马寅(1986),男,硕士,工程师,主要研究方向为电力系统稳定运行与控制;|崔剑(1979),男,硕士,高级工程师,主要研究方向为电力系统稳定运行与控制,电力市场;|韩冰(1991),男,博士,讲师,主要研究方向为电动汽车、电力市场;|伍朝显(1992),男,博士研究生,主要研究方向为轨道交通、节能控制、运行优化;
基金资助:
国网甘肃省电力公司科技项目“智能交易辅助决策研究”

Decision-Making Support Based on Smart Contracts and Transactive Energy Control in Wind Power Accommodation

YANG Chunxiang¹, XIE Lirong², TIAN Ruopeng¹, MA Yin¹, CUI Jian¹, HAN Bing³, WU Chaoxian³, XUE Fei³

1. State Grid Gansu Electric Power Company, Lanzhou 730050, China
2. NARI Technology Co., Ltd., Nanjing 211106, China
3. Xi’an Jiaotong-Liverpool University, Suzhou 215123, Jiangsu Province, China

Received:2020-04-29 Online:2020-10-01 Published:2020-09-30
Contact: XUE Fei

摘要/Abstract

摘要：

随着风电装机容量的不断增长,风电消纳一直是电网运行的关键课题。基于近期学术界广泛关注的可交易能源(transactive energy,TE)系统的理念,文章提出了通过可交易能源控制(transactive energy control,TEC),以一系列交易合约作为控制手段实现风电消纳的技术框架。进一步将智能合约技术与可交易能源控制结合,由各交易方提出各自的交易逻辑,通过智能交易辅助决策形成一系列智能合约,从而实现风电消纳的控制目标。基于IEEE-30节点系统的算例验证了该控制方式的有效性。

关键词: 可交易能源(TE), 智能合约, 风电消纳, 辅助决策

Abstract:

With the continuous growth of the installed capacity of wind power, the wind power accommodation becomes a key factor in power gird operation. According to the concept of the transactive energy systems which has been widely investigated in academic area, this paper proposes a framework of wind power utilization by using a series of trade contracts based on transactive energy control (TEC) method. Furthermore, the smart contract technology with TEC is jointly considered in this paper. The trade logics proposed by participants are formulated to a series of smart contracts through the assisted smart-trade decision-making method, and finally the control objective of wind power utilization is achieved. The IEEE 30-node system is used to verify the effectiveness of the proposed control method.

Key words: transactive energy(TE), smart contract, wind power accommodation, assisted decision-making

中图分类号:

TM73

杨春祥, 谢丽荣, 田若鹏, 马寅, 崔剑, 韩冰, 伍朝显, 薛飞. 基于智能合约与可交易能源控制的风电消纳辅助决策技术[J]. 电力建设, 2020, 41(10): 133-141.

YANG Chunxiang, XIE Lirong, TIAN Ruopeng, MA Yin, CUI Jian, HAN Bing, WU Chaoxian, XUE Fei. Decision-Making Support Based on Smart Contracts and Transactive Energy Control in Wind Power Accommodation[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(10): 133-141.

图/表 12

图1 数字合约示意图

Fig.1 Illustration of digital contracts

图2 智能合约示意图

Fig.2 Illustration of smart contracts

图3 基于TEC与智能合约的风电消纳示意图

Fig.3 Illustration of wind power utilization based on TEC and smart contracts

表1 传统发电厂发电成本线性化参数

Table 1 Linearized parameters of the generation cost function of conventional power plants

表2 传统发电厂、风电场和各类负荷在电网节点中的分布

Table 2 Types of load and generation and bus ID

表3 参数设置

Table 3 Parameter settings

图4 风电场最大出力,无智能合约情况下和智能合约情况下风电场实际出力

Fig.4 Hourly maximum and actual output of wind power with/without the optimal TEC

图5 在智能合约辅助决策下可移负荷分布

Fig.5 Intensive load under optimal TEC

图6 在智能合约辅助决策下自备电厂负荷分布

Fig.6 Loads of self-supply power plants under optimal TEC

图7 在智能合约辅助决策下邻省输送功率

Fig.7 Power from neighboring province under optimal TEC

图8 在算例1和2中一天内电网中发电节点各发电设备平均出力

Fig.8 Daily average output power of traditional power plants in Case 1 and 2

表4 各交易主体对风电消纳以及收入的汇总

Table 4 Summary of the contribution and income of each participant in wind power utilization

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基于智能合约与可交易能源控制的风电消纳辅助决策技术

Decision-Making Support Based on Smart Contracts and Transactive Energy Control in Wind Power Accommodation

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