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Coordinated restoration optimization of power-gas integrated energy system with mobile emergency sources

2023-06-16

【论文推荐】河海大学潘学萍等：含移动应急资源电-气综合能源系统的协调恢复优化

摘要

综合能源系统的扰动跨能流耦合特性使得任一系统故障或供能堵塞都会对其他系统的能流分配优化产生影响。电-气综合能源系统在供能中断后，需要对供能资源进行全局优化，使其整体效益最大化。移动应急资源可以在能源中断后快速灵活地进行能源供应，以确保系统的可靠供应，但也增加了决策的复杂性。以含移动应急资源的电-气综合能源系统为研究对象，分析了移动应急资源运输的影响，建立了以净收益最大为目标的电气综合能源系统供能恢复协调优化模型。建立了协调恢复优化决策过程，实现了电-气综合能源系统的解耦迭代，包括系统状态识别、移动应急资源调度优化、气转电流量优化及分区内并行恢复方案优化。构建了一个由81节点中压配电网、89节点中压配气网和4个移动应急资源组成的电气综合能源系统算例，仿真分析验证了所提出的协调恢复优化方法的有效性。

Coordinated restoration optimization of power-gas integrated energy system with mobile emergency sources

含移动应急资源电-气综合能源系统的协调恢复优化

Lili Hao¹, Wangyu Hu¹, Chuan Wang², Guangzong Wang³,Yue Sun¹, Jun Chen¹, Xueping Pan⁴

1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, P. R. China

2. Shennan Circuits Co., Ltd., Wuxi 214000, P. R. China

3. Tianjin Bohai Electric Power Group Co., Ltd., Tianjin 300171, P. R. China

4. College of Energy and Electrical Engineering, Hohai University, Nanjing 210008, P. R. China

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Coordinated restoration optimization of power gas integrate energy system with mobile emergency sources

Abstract

In an integrated energy system (IES) composed of multiple subsystems, energy coupling causes an energy supply blockage or shutdown in one subsystem, thereby affecting the energy flow distribution optimization of other subsystems. The energy supply should be globally optimized during the IES energy supply restoration process to produce the highest restoration net income. Mobile emergency sources can be quickly and flexibly connected to supply energy after an energy outage to ensure a reliable supply to the system, which adds complexity to the decision. This study focuses on a power- gas IES with mobile emergency sources and analyzes the coupling relationship between the gas distribution system and the power distribution system in terms of sources, networks, and loads, and the influence of mobile emergency source transportation. The influence of the transient process caused by the restoration operation of the gas distribution system on the power distribution system is also discussed. An optimization model for power-gas IES restoration was established with the objective of maximizing the net income. The coordinated restoration optimization decision-making process was also built to realize the decoupling iteration of the power-gas IES, including system status recognition, mobile emergency source dispatching optimization, gas-to-power gas flow optimization, and parallel intra-partition restoration scheme optimization for both the power and gas distribution systems. A simulation test power-gas IES consisting of an 81-node medium-voltage power distribution network, an 89-node medium-pressure gas distribution network, and four mobile emergency sources was constructed. The simulation analysis verified the efficiency of the proposed coordinated restoration optimization method.

Keywords

Coordinated restoration optimization; Integrated energy system; Power-gas decoupling; Gas-to-power flow optimization; Mobile emergency source

Fig. 1 Basic structure of MG2PIES

Fig. 2 Optimization decision-making process of MG2PIES energy supply restoration

Fig. 3 Diagram of G2P gas flow optimization

Fig. 4 81–89 node MG2PIES

Fig. 5 Restoration scheme for Partition 1 and Partition 2

Fig. 6 Restoration scheme simulation and deduction for Partitions 1–4

Fig. 7 Update of GDS partitions

Fig. 8 Restoration scheme for PDS and GDS partitions

Fig. 9 Restoration cost comparison for different scenarios

Fig. 10 Comparison of restoration income in different scenarios

Fig. 11 Net income comparison of different scenarios

Fig. 12 Load restoration comparison of different scenarios

本文引文信息

Hao LL, Hu WY, Wang C, et al (2023) Coordinated restoration optimization of power-gas integrated energy system with mobile emergency sources. Global Energy Interconnection, 6(2): 205-223

郝丽丽，胡望雨，王川等 (2023) 含移动应急资源电-气综合能源系统的协调恢复优化. 全球能源互联网（英文）, 6(2): 205-223

Biographies

Lili Hao

Lili Hao received the B.S. and M.S. degrees from Hohai University, Nanjing, China, in 2001 and 2004, respectively, and the Ph. D. degree from Southeast University, Nanjing, China, in 2010. She is working in College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China. Her research interest is power system security and stability analysis and control.

Wangyu Hu

Wangyu Hu received the B.S. degree at Yanshan University, Qinhuangdao, China, in 2020. She is working towards the M.S. degree at Nanjing tech University, Nanjing, China. Her research interest is power system security and stability analysis and control.

Chuan Wang

Chuan Wang received the B.S. and M.S. degrees from Nanjing tech University, Nanjing, China, in 2019 and 2022, respectively. He is working in Shennan Circuits Co., Ltd, Wu Xi, China. His research interest is power system security and stability analysis and control.

Guangzong Wang

Guangzong Wang received the Master’s degree at the School of Electrical and Information Engineering, Tianjin University, 2013. His research interests include Integrated Intelligent Energy, Virtual Power Plant, energy internet, etc.

Yue Sun

Yue Sun received the B.S. degree at Taizhou Institute of Technology, Nanjing University of Science and Technology, Taizhou, China, in 2020. She is working towards the M.S. degree at Nanjing tech University, Nanjing, China. Her research interest is power system security and stability analysis and control.

Jun Chen

Jun Chen received the B.S. M.S., and Ph.D. degrees in 2000, 2003, and 2022, respectively. He is working in College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China. His research interest is power system security and stability analysis and control.

Xueping Pan

Xueping Pan received the B.S. Eng. and M. S. degrees in electrical engineering from Hohai University, China, in 1994 and 2000, respectively, and the Ph.D. degree from Zhejiang University, China, in 2008. She is working in College of Energy and Electrical Engineering, Hohai University, Nanjing, China. Her research interest is modeling and analysis of power systems with renewable power generation.

编辑：刘通明

审核：王伟

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