Blockchain Technology for Distributed Energy Scheduling Method of District-Level Integrated Energy System

doi:10.12204/j.issn.1000-7229.2021.12.004

Abstract

Abstract:

For the problems of disloyalty and external attacks in the distributed energy interaction mode of the integrated energy system of district level, combined with the characteristics, structure and types of blockchains, the application feasibility of blockchain technology in the energy dispatch of the integrated energy system is analyzed. The paper proposes a distributed energy scheduling method for an integrated energy system applying blockchain technology, and establishes a two-layer structure of energy interaction, with the goal of minimizing the operating cost of each operator, and the cost increment value as a consistent variable, combining smart contracts, distributed accounting and digital signatures of blockchain technology. A decentralized energy scheduling model based on the Lagrange multiplier method on the physical layer of the structure, and an information transmission framework based on blockchain technology on the information layer are established. The method is verified through calculation examples, which guarantees the fairness, openness, safety and reliability of the distributed energy dispatch process of the heat-electricity integrated energy system of district level.

Key words: integrated energy system of district level, decentralized energy interaction, blockchain technology, conformance agreement, Lagrange multiplier method

CLC Number:

TM73

LIU Yucheng, DUAN Lian, BAN Xiaomeng, HUANG Wei, ZUO Xinya, ZHANG Wanjia. Blockchain Technology for Distributed Energy Scheduling Method of District-Level Integrated Energy System[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(12): 30-38.

Figures/Tables 8

Table 1 Feasibility of applying blockchain in decentralized interaction model

Table 2 Feasibility of applying blockchain in consensus protocol

Fig.1 Two-layer structure of IES energy interaction

Fig.2 Blockchain-based IES energy interaction operation framework

Fig.3 Blockchain-based consensus algorithm flow

Table 3 Operating parameters and initial variable values of each node

Fig.4 System operation comparison after subsystem parameters tampered

Fig.5 System operation comparison when the communication process encounters external attacks

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