Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction

被引：22
|
作者：
Veeramsetty, Venkataramana [1 ]
机构：
[1] SR Engn Coll, Ctr Artificial Intelligence & Deep Learning, Dept Elect & Elect Engn, Warangal 506371, Telangana, India
来源：
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS | 2021年 / 6卷 / 01期
关键词：
Distributed Generator (DG); Locational Marginal Price (LMP); Loss reduction; Emission reduction; Shapley Value Method Decision Making; Distribution Company (DISCO); Cooperative game theory; DISTRIBUTION NETWORKS; POWER-FLOW; LMP; POLICY;
D O I：
10.1186/s41601-021-00211-0
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
An iterative method based on Shapley Value Cooperative Game Theory is proposed for the calculation of local marginal price (LMP) for each Distributed Generator (DG) bus on a network. The LMP value is determined for each DG on the basis of its contribution to reduce loss and emission reduction, which is assessed using the Shapley Value approach. The proposed approach enables the Distribution Company (DISCO) decision-maker to operate the network optimally in terms of loss and emission. The proposed method is implemented in the Taiwan Power Company distribution network 7 warnings consisting of 84 buses and 11 feeders in the MATLAB environment. The results show that the proposed approach allows DISCO to operate the network on the basis of its priority between the reduction of active power loss and emission in the network
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页数：11
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