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

doi:10.12204/j.issn.1000-7229.2020.10.015

Abstract

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

CLC Number:

TM73

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.

Figures/Tables 12

Fig.1 Illustration of digital contracts

Fig.2 Illustration of smart contracts

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

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

Table 2 Types of load and generation and bus ID

Table 3 Parameter settings

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

Fig.5 Intensive load under optimal TEC

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

Fig.7 Power from neighboring province under optimal TEC

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

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

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