Day-Ahead Optimal Operation Strategy of Distribution Network Based on Energy Consumption Characteristics of Data Centers and Guidance Price Mechanism

Abstract

With the increasing penetration of distributed generation and flexible load in the distribution network, power generation and consumption plans made by different stakeholders may lead to uneven distribution of power flow in space and overload of some lines. For the increasingly large data centers in the flexible load, this paper proposes a day-ahead optimal operation strategy of distribution network based on its energy consumption characteristics and guidance price mechanism. First of all, combined with the CPU dynamic frequency modulation technology, the energy consumption characteristics of the data center and the best working mode of the internal server are analyzed. On this basis, the principle of equal consumption micro-increase rate is promoted from the perspective of economy, and the guidance price is formulated according to the profit seeking behavior of the data center operators. Guide the data load and the data center energy consumption, and realize the optimal operation of the distribution network in the day-ahead through the information interaction between the grid company and the data center operators. Finally, the IEEE-33 bus distribution network system embedded with the data centers is used for simulation and analysis. The results eliminate part of the lines overload caused by the original data load plan, and verify the effectiveness of the proposed strategy.