Flexible and Elastic Transport Strategy for Demand Response Services

doi:10.12204/j.issn.1000-7229.2022.02.002

Abstract

Abstract:

With the deepening practice of demand response (DR), we need to rely on highly reliable information exchange to support fine DR control in the future. However, in the DR wireless communication scenario, the complex channel environment greatly affects the efficient information exchange of DR, and the existing technology is difficult to match and meet the characteristics of DR services. Aiming at the problem of channel quality in DR wireless transmission, this paper designs a flexible transmission strategy for DR service, which is realized by adaptive coding. First of all, the types of DR services and the differential requirements of communication services during the execution period are analyzed at the service level. Then, the precoding technology is introduced to improve the channel gain. Finally, a double-layer adaptive coding strategy is used to optimize the communication transmission under different DR services and different DR periods, while taking into account the processing delay of the algorithm. Simulation results show that the proposed strategy can not only reduce the system error rate, but also reasonably plan the computing resources.

Key words: demand response(DR), communication service, information interaction, precoding, adaptive coding

CLC Number:

TM73

LI Lei, WANG Chaoliang, HAO Yihao, LI Bin, QI Bing, CHEN Songsong. Flexible and Elastic Transport Strategy for Demand Response Services[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(2): 10-17.

Figures/Tables 9

Fig.1 Overall schematic diagram of demand-response information interaction system

Table 1 Communication quality of service requirements for demand response services

Fig.2 Schematic diagram of THP system

Fig.3 Timeline of demand response event

Fig.4 Steps of an adaptive coding switch strategy

Fig.5 BER statistical analysis under different coding schemes

Table 2 Comparison of processing delay of different coding schemes ms

Fig.6 Statistical analysis of average processing delay under different coding schemes

Fig.7 Analysis of the average bit error rate of DR wireless communication system in a day

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