Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology

doi:10.12204/j.issn.1000-7229.2022.06.002

Abstract

Abstract:

The traditional centralized transaction mode has some defects, such as high operating cost and information insecurity, when dealing with high frequency and small amount of electricity transaction in microgrid cluster. Therefore, this paper proposes a distributed electricity transaction model of microgrid cluster applying blockchain technology, and designs the corresponding smart contract. Firstly, for the deficiency that unified pricing charging method of network fee is not fairly allocated to each transaction according to the actual operating cost of distribution network, a dynamic network fee model considering multiple operation costs of distribution network is proposed on the basis of power transfer distribution factors. Secondly, in order to ensure the preference of market subjects, an objective strategy function of power purchase considering user credit preference is established, and the improved particle swarm algorithm is used to solve matching process of transaction. Thirdly, this paper adopts self-adaptive aggressive strategy to update the quotation for transaction efficiency, and proposes the multi-round rolling constraint checking method to maintain safe operation of distribution network. Ultimately, the relevant case studies verify the rationality of the proposed model and smart contract.

Key words: blockchain, microgrid cluster, distributed electricity transaction, dynamic network fee, credit preference

CLC Number:

TM734

ZHU Tinghu, LIU Yang, XU Lixiong, RAO Ping, LI Zhenwei, WU Han. Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(6): 12-23.

Figures/Tables 19

Fig.1 Distributed electricity transaction framework of microgrid cluster

Fig.2 The execution flow of smart contract

Fig.3 Diagram of the dealmaking process

Fig.4 IEEE 33-node distribution network system

Fig.5 Transaction volume of buyer’s microgrid

Fig.6 Transaction volume of buyer’s node at 03:00

Fig.7 Transaction volume of buyer’s node at 03:00 after adjustment of network fee parameters

Fig.8 A comparison of average transaction price

Fig.9 Distribution range of node voltage amplitudes

Table 1 Transaction information of buyer’s nodes

Fig. A1 The amount of electricity that microgrid intends to sell

Fig. A2 The amount of electricity that microgrid intends to buy

Fig. A3 Power quality grade of seller’s microgrid

Fig. A4 Credit value of seller’s microgrid

Fig. A5 Preference threshold of credit value of buyer’s microgrid

Fig. A6 Transaction records of smart contracts

Table A1 Time-of-use tariff and on-grid tariff

Table A2 Line information of IEEE33 node power distribution system

Table A3 Update equivalent impedance of IEEE 33 node power distribution system

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