Architecture and Optimal Operation of Unified Dispatch and Control of Micro-energy Grid Based on Cyber-Physical Fusion

被引：0
|
作者：
Yang Y. [1 ]
Yang P. [1 ,2 ]
Li Z. [1 ]
Tang Y. [1 ]
Lu G. [1 ]
机构：
[1] Institute of Electric Power, South China University of Technology, Guangzhou
[2] Guangdong Key Laboratory of Clean Energy Technology, South China University of Technology, Guangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 04期
关键词：
capital flow; cyber-physical fusion; dispatch and control; energy flow; information flow; micro-energy grid; optimal operation;
D O I：
10.7500/AEPS20220329008
中图分类号：
学科分类号：
摘要：
The combination of various states of multi-type energy units in the micro-energy grid (MEG) from starting, running to stopping constitutes different operation states of the MEG. To achieve the precise dispatch and control of the states at the whole operation stage of the MEG, a unified dispatch and control architecture for the MEG with the integration of the cyber-physical fusion is proposed, which is divided into object layer, integration layer, and optimization layer. The object layer adopts the form of a feature vector to unifiedly describe the characteristics of energy flow, information flow, and capital flow in the MEG. The integration layer describes the operation state of the energy unit in the MEG and the interactive effects of energy flow, information flow, and capital flow in each stage of the transition of the operation state. The optimization layer determines the global optimization operation strategy of the system based on the different optimization objectives of the system. Based on the established model, the research on day-ahead optimal scheduling of MEG is carried out. The numerical results show that compared with the traditional modeling and control methods, the three-layer modeling and dispatch and control architecture of cyber-physical fusion realizes the optimal control of the state change trajectories of various energy units at the whole operation stage of the MEG. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：34 / 41
页数：7
相关论文
共 20 条
  • [1] ZHAO Zhengjia, TENG Zhenshan, WANG Zhiguang, Et al., Comprehensive optimal equipment configuration for micro energy network considering engineering differences［J］, Automation of Electric Power Systems, 45, 23, pp. 84-93, (2021)
  • [2] CHEN Lingmin, WU Jiekang, ZHANG Wenjie, Et al., Robust optimization based coordinated scheduling strategy for integrated demand response in micro energy grid［J］, Automation of Electric Power Systems, 45, 21, pp. 159-169, (2021)
  • [3] ZHANG S H, YAO S，, Et al., Partitional decoupling method for fast calculation of energy flow in a large-scale heat and electricity integrated energy system［J］, IEEE Transactions on Sustainable Energy, 12, 1, pp. 501-513, (2021)
  • [4] WANG Jiang, DENG Fengqiang, ZHANG Yongjun, Et al., Review on planning and operation research of park energy Internet ［J］, Electric Power Automation Equipment, 41, 2, pp. 24-32, (2021)
  • [5] LIU N，, TAN L，, SUN H N，, Et al., Bilevel heat-electricity energy sharing for integrated energy systems with energy hubs and prosumers ［J］, IEEE Transactions on Industrial Informatics, 18, 6, pp. 3754-3765, (2022)
  • [6] CHEN Liping, LIN Xiaoming, XU Yuan, Et al., Modeling and multi-objective optimal dispatch of micro energy grid based on energy hub［J］, Power System Protection and Control, 47, 6, pp. 9-16, (2019)
  • [7] FENG Yi, YING Zhanfeng, YAN Jianhu, Optimized operation of energy storage in a multi-energy complementary micro-energy network considering carbon emission cost［J］, Power System Protection and Control, 49, 8, pp. 92-99, (2021)
  • [8] CHENG S，, WANG R，, XU J Y，, Et al., Multi-time scale coordinated optimization of an energy hub in the integrated energy system with multi-type energy storage systems［J］, Sustainable Energy Technologies and Assessments, 47, (2021)
  • [9] TENG Yun, SUN Peng, HUI Qian, Et al., Optimal operation model of micro-energy network considering classification and disposal of biomass waste［J］, Automation of Electric Power Systems, 45, 15, pp. 55-63, (2021)
  • [10] XU Luo, GUO Qinglai, LIU Xinzhan, Et al., Robust optimization method of communication network to improve resilience of cyber-physical power system［J］, Automation of Electric Power Systems, 45, 3, pp. 68-75, (2021)
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