Research on Optimal Scheduling of Multi-Energy Microgrid Based on Stackelberg Game-Reference-Cited by-同舟云学术

Research on Optimal Scheduling of Multi-Energy Microgrid Based on Stackelberg Game

Published:2023-09-24 Issue:10 Volume:11 Page:2820
ISSN:2227-9717
Container-title:Processes
language:en
Short-container-title:Processes

Author:

Li Bo¹,Li Yang²,Li Ming-Tong¹,Guo Dan¹,Zhang Xin¹,Zhu Bo¹,Zhang Pei-Ru¹,Wang Li-Di¹

Affiliation:

1. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110065, China

2. State Grid Liaoning Electric Power Co., Ltd. Shenyang Power Supply Company, Shenyang 110065, China

Abstract

In recent years, rapid industrialization has driven higher energy demand, depleting fossil-fuel reserves and causing excessive emissions. China’s “dual carbon” strategy aims to balance development and sustainability. This study optimizes microgrid efficiency with a tiered carbon-priced economy. A Stackelberg game establishes microgrid-user equilibrium, solved iteratively with a multi-population algorithm (MPGA). Comparative analysis can be obtained without considering demand response scenarios, and the optimization cost of microgrid operation considering price-based demand response scenarios was reduced by 5%; that is 668.95 yuan. In addition, the cost of electricity purchase was decreased by 23.8%, or 778.6 yuan. The model promotes user-driven energy use, elevating economic and system benefits, and therefore, the scheduling expectation of “peak shaving and valley filling” is effectively realized.

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Link

https://www.mdpi.com/2227-9717/11/10/2820/pdf

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