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Heat-Electricity Coupled Peak Load Shifting for Multi-Energy Industrial Parks: A Stackelberg Game Approach
IEEE Transactions on Sustainable Energy ( IF 8.6 ) Pub Date : 2019-10-04 , DOI: 10.1109/tste.2019.2945557
Nian Liu , Linjie Zhou , Cheng Wang , Xinghuo Yu , Xiyuan Ma

This paper establishes an energy management framework for a multi-energy industrial park (IP) based on Stackelberg game theory, where the leaders and the followers are combined heat-and-power (CHP) unit owners and a group of industrial users (IUs), respectively. The interactions between the leaders and the followers are the two-way electricity and the one-way heat trading. The bi-directional energy demands conversion is considered to realize the peak load shifting. The slow dynamics of district heating system is reflected by introducing the thermal delay time constant (TDTC), resulting in a “synchronous-production-asynchronous-delivery” scheme for electricity and heat. A relatively computational cheap decentralized solution procedure is devised to refine the Stackelberg equilibrium, and the existence proof of the equilibrium under mild conditions is provided. The effectiveness of the proposed methods are verified by simulation results.

中文翻译:

多能源工业园区的热电耦合峰值负荷转移:Stackelberg博弈方法

本文基于Stackelberg博弈理论建立了一个多能源工业园区(IP)的能源管理框架,其中领导者和跟随者是热电联产(CHP)单位所有者和一组工业用户(IU) , 分别。领导者和跟随者之间的互动是双向电力和单向热交易。考虑双向能量需求转换以实现峰值负载转移。通过引入热延迟时间常数(TDTC)来反映区域供热系统的慢速动态,从而形成了电和热的“同步生产-异步输送”方案。设计了一种相对计算便宜的分散式求解程序来完善Stackelberg平衡,并提供了在温和条件下平衡存在的证据。仿真结果验证了所提方法的有效性。
更新日期:2019-10-04
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