|Table of Contents|

Low-carbon Economic Scheduling for Community Energy System Based on Distributionally Robust Optimization(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2022年02期
Page:
15-22
Research Field:
电气工程
Publishing date:

Info

Title:
Low-carbon Economic Scheduling for Community Energy System Based on Distributionally Robust Optimization
Author(s):
Sun Wangqing; Liu Xiaofeng; Ji Zhenya; Bai Ying; Chen Xueying
(School of NARI Electrical and Automation,Nanjing Normal University,Nanjing 210023,China)
Keywords:
distributionally robust optimization; non-cooperative game; uncertainty; linear decision making; duality principle
PACS:
TM715
DOI:
10.3969/j.issn.1672-1292.2022.02.003
Abstract:
With the increasing penetration of renewable energy and the requirements of energy transition,green and low-carbon operation of energy system should be considered while ensuring the robustness of scheduling strategy. In this paper,a low-carbon robust scheduling method is proposed for community energy system which takes the uncertainty of wind power and the game relationship among multi-decision makers into consideration. Firstly,a two-stage scheduling model for each community is constructed. Secondly,the distribution information of wind power is incorporated into the two-stage model and the non-cooperative game relationship among communities is considered. Finally,the linear decision theory and duality principle are used to solve the model. Result shows that the proposed method can obtain the strategy with high robustness and overcome the strong conservatism of traditional robust optimization.

References:

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