Padding Method-Based Double Auction for Power Resource Reallocation in the Smart Grid

被引：0
|
作者：
Yan X. [1 ]
Sun B. [1 ]
Lu P. [1 ]
Jin X. [1 ]
Shi Y. [2 ]
Gui X. [2 ]
机构：
[1] Digitalization Division of State Grid Gansu Electric Power Company, Lanzhou
[2] Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2024年 / 58卷 / 04期
关键词：
double auction; power resale; resource allocation; smart grid;
D O I：
10.7652/xjtuxb202404013
中图分类号：
学科分类号：
摘要：
To address the problem of rich electric energy resale and complete the reallocation of power resources in the smart grid environment, an incentive mechanism is designed in this paper from the perspective of economics to encourage users with rich electricity to provide power resources for those facing power shortages. The double auction mechanism designed in this paper includes a power resource allocation method using the concept of padding and an effective pricing strategy to ensure the desired performance of power resource allocation in the smart grid environment. The mechanism takes into account the relationship between the transmission cost of power resources and the distance, and the supply-demand matching relationship is designed. Regarding the allocation method, the padding method based on linear programming is used to obtain the resource allocation results in polynomial time with a near-optimal approximation algorithm. In terms of pricing, critical-value-based and VCG-based pricing strategies are used respectively to calculate the payment price of the winning buyer user and the receiving price of the winning seller user, thus realizing the truthfulness, individual rationality, and budget balance in the double auction. The simulation results demonstrate that the auction mechanism designed in this paper ensures a series of desirable economic properties, including truthfulness, budget balance, and individual rationality. Furthermore, it can obtain the approximate optimal solution in polynomial time, thus offering an effective solution to the problem of power resource reallocation in the smart grid environment. © 2024 Xi'an Jiaotong University. All rights reserved.
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页码：138 / 147
页数：9
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