Energy hub-based optimal planning for integrated energy systems considering part-load characteristics and synergistic effect of equipment
2021-05-26
文章导读
随着我国经济社会持续发展，能源生产和消费模式正在发生重大转变，能源产业肩负着提高能源效率、保障能源安全、促进新能源消纳和推动环境保护等新使命。能源生产和消费模式的重大转变，要求改变传统能源系统建设路径和发展模式，构建综合能源系统。综合能源系统（IES）在能源互联网中是一种有前景的能源供应模式。在IES优化配置中，多能流耦合会导致前期规划中的一系列简化，进而影响系统成本，效率和环境性能。为了合理设计IES的结构和容量，本文提出一种考虑设备变工况特性和设备间时空协同效应的新型规划方法。通过将IES拆解为不同类型的能源设备，引入“能源枢纽节点”概念扩展能源枢纽模型。之后采用双层优化框架进行规划——上层用于设备选型和定容，下层基于典型日方法优化运行策略。以IES的全生命周期成本最小为目标，用结合多变异位自适应遗传算法和内点法的两阶段进化算法求解。最后通过案例分析验证方法的可行性。
Energy hub-based optimal planning for integrated energy systems considering part-load characteristics and synergistic effect of equipment
基于能源枢纽的综合能源系统优化规划：考虑设备变工况特性和协同效应
Chengzhou Li1,2, Yongping Yang1,3, Zhuo Wang1, Ningling Wang1, Ligang Wang3, Zhiping Yang1
（1.National Research Center for Thermal Power Engineering and Technology Research Center, North China Electric Power University, Beijing 102206, P.R. China 2.Industrial Process and Energy Systems Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland 3.Innovation Research Institute of Energy and Power, North China Electric Power University, Beijing 102206, P.R. China）
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Abstract
Keywords
Energy hub, Integrated energy system, Configuration planning, Part-load characteristics, Genetic algorithm.
Fig.1 Three examples of dynamic load-altering attacks:
a) open-loop dynamic load-altering attack (D-LAA), b) single- point closed-loop D-LAA, c) multi-point closed-loop D-LAAs
Fig.2 D-LAA detection scheme (AFKF: adaptive fading
Kalman filter)
Fig.3 Simulation result for smart grid under single-point closed-loop D-LAA
Fig.4Detection result for single-point closed-loop D-LAA
Fig.5 Simulation result for smart grid under multi-point closed-loop D-LAAs
Fig.6 Detection results for multi-point closed-loop D-LAAs
本文引文信息
Ma Q, Xu Z, Wang W, Lin L, Ren T, Yang S, Li J J (2021) Dynamic load-altering attack detection based on adaptive fading Kalman filter in power systems, 4(2): 184-192
马强，徐征，王文婷，林琳，任天成，杨淑仙，李健 (2021) 电力系统中基于自适应衰落卡尔曼滤波器的动态负载变化攻击检测. 全球能源互联网（英文），4(2): 184-192
Biographies
Qiang Ma
Qiang Ma received a master’s degree at Shandong University of Finance and Economic in 2008. He is working at the State Grid Shandong Electric Power Company. His research interests include transmission and distribution prices, price formation mechanisms of electricity markets, and power market settlement system.
Zheng Xu
Zheng Xu received a bachelor’s degree at North China Electric Power University, Beijing in 2005, and received a master’s degree at Shandong University of Finance and Economic in 2009. He is working at the State Grid Shandong Electric Power Company. His research interest is power system automation.
Wenting Wang
Wenting Wang received her B.S., and M.S. from the Department of Information Security Engineering, Northeast Electric Power University, China, in 2011, and 2015, respectively. In 2015, she joined the State Grid Shandong Electric Power Research Institute, where she is currently a senior engineer. Her research interests are electronic engineering, information security, network security, data security, and cryptography..
Lin Lin
Lin Lin graduated from Jinan University, Shandong, in 2009. She has a master’s degree in electrical engineering. She is working at the State Grid Shandong Electric Power Company, Shandong. Her research interests include dispatching automation and network security.
Tiancheng Ren
Tiancheng Ren received a bachelor’s degree at North China Electric Power University, Beijing, in 2001. He joined the State Grid Shandong Electric Power Research Institute, where he is currently a senior engineer. His research interests are electronic engineering, data security, and cryptography.
Shuxian Yang
Shuxian Yang received her B.Sc. degree in Measurement and Control Technology and Instruments in 2019 from North China Electric Power University, China. She is a master’s degree candidate at the School of North East Electric Power University, China. Her research interests include Kalman filter algorithms and attack detection in cyber-physical systems.
Jian Li
Jian Li received her B.Sc. and M.Sc. degrees in electrical automation and control theory and application from the Liaoning Technical University, China, in 2005 and 2008, respectively, and her Ph.D. degree in control theory and application from Northeast University, China in 2013. Currently, she is an Associate Professor at the School of Automation Engineering, Northeast Electric University, China. From July 2015 to August 2015, she was a visiting scholar at the Nonlinear Dynamics Group at Yeungnam University, South Korea. Her research interests include fault detection, robust control, and micro- grids.
编辑：王闻昊 王彦博
审核：王 伟
