CSEE Journal of Power and Energy Systems最新文献_第10页

Market Equilibrium Based on Cloud-edge Collaboration 基于云边协作的市场平衡

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.07130

Tong Cheng;Haiwang Zhong;Qing Xia

{"title":"Market Equilibrium Based on Cloud-edge Collaboration","authors":"Tong Cheng;Haiwang Zhong;Qing Xia","doi":"10.17775/CSEEJPES.2022.07130","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07130","url":null,"abstract":"Market participants can only bid with lagged information disclosure under the existing market mechanism, which can lead to information asymmetry and irrational market behavior, thus influencing market efficiency. To promote rational bidding behavior of market participants and improve market efficiency, a novel electricity market mechanism based on cloudedge collaboration is proposed in this paper. Critical market information, called residual demand curve, is published to market participants in real-time on the cloud side, while participants on the edge side are allowed to adjust their bids according to the information disclosure prior to closure gate. The proposed mechanism can encourage rational bids in an incentive-compatible way through the process of dynamic equilibrium while protecting participants' privacy. This paper further formulates the mathematical model of market equilibrium to simulate the process of each market participant's strategic bidding behavior towards equilibrium. A case study based on the IEEE 30-bus system shows the proposed market mechanism can effectively guide bidding behavior of market participants, while condensing exchanged information and protecting privacy of participants.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"96-104"},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165681","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Framework for Preventive Control of Power Systems to Defend Against Extreme Events 防御极端事件的电力系统预防性控制框架

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.07290

Yuwei Xiang;Tong Wang;Zengping Wang

{"title":"Framework for Preventive Control of Power Systems to Defend Against Extreme Events","authors":"Yuwei Xiang;Tong Wang;Zengping Wang","doi":"10.17775/CSEEJPES.2022.07290","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07290","url":null,"abstract":"Enhancing power system resilience against extreme events is becoming increasingly critical. This paper discusses a unified framework for preventive control of power systems to enhance system resilience, which includes three parts: resilience assessment, resilience grading, and resilience enhancement. First, the resilience assessment contains facility-level and system-level resilience assessment. The concept of fragility curve is used in the facility-level resilience assessment. Various resilience indices are developed in system-level resilience assessment to roundly depict the impacts of extreme events on power systems and determine the system resilience. On this basis, the resilience is divided into different levels by resilience grading strategy, which can efficiently quantify the severity of the impact of extreme events and provide decision-making for the resilience enhancement strategies. Then, control strategies for enhancing power system resilience are also divided according to different resilience levels. A controlled islanding based preventive control is proposed to enhance system resilience, which aims to strengthen the first defensive line of power systems to deal with extreme events. Finally, taking the typhoon disaster in extreme events as an example, two tests carried out with two typhoons demonstrate the efficiency of the proposed method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"856-870"},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165677","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Planning of DC Electric Spring with Particle Swarm Optimization and Elitist Non-Dominated Sorting Genetic Algorithm 利用粒子群优化和精英非支配排序遗传算法规划直流电动弹簧

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.04510

Qingsong Wang;Siwei Li;Hao Ding;Ming Cheng;Giuseppe Buja

{"title":"Planning of DC Electric Spring with Particle Swarm Optimization and Elitist Non-Dominated Sorting Genetic Algorithm","authors":"Qingsong Wang;Siwei Li;Hao Ding;Ming Cheng;Giuseppe Buja","doi":"10.17775/CSEEJPES.2022.04510","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.04510","url":null,"abstract":"This paper addresses the planning problem of parallel DC electric springs (DCESs). DCES, a demand-side management method, realizes automatic matching of power consumption and power generation by adjusting non-critical load (NCL) and internal storage. It can offer higher power quality to critical load (CL), reduce power imbalance and relieve pressure on energy storage systems (RESs). In this paper, a planning method for parallel DCESs is proposed to maximize stability gain, economic benefits, and penetration of RESs. The planning model is a master optimization with sub-optimization to highlight the priority of objectives. Master optimization is used to improve stability of the network, and sub-optimization aims to improve economic benefit and allowable penetration of RESs. This issue is a multivariable nonlinear mixed integer problem, requiring huge calculations by using common solvers. Therefore, particle Swarm optimization (PSO) and Elitist non-dominated sorting genetic algorithm (NSGA-II) were used to solve this model. Considering uncertainty of RESs, this paper verifies effectiveness of the proposed planning method on IEEE 33-bus system based on deterministic scenarios obtained by scenario analysis.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"574-583"},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165667","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cyber-Physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling 考虑维护计划的输电系统网络-物理协同恢复策略

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.04440

Baozhong Ti;Chuanyun Zhang;Jingfei Liu;Zhaoyuan Wu;Ziyang Huang

{"title":"Cyber-Physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling","authors":"Baozhong Ti;Chuanyun Zhang;Jingfei Liu;Zhaoyuan Wu;Ziyang Huang","doi":"10.17775/CSEEJPES.2022.04440","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.04440","url":null,"abstract":"In order to improve the ability of power transmission system to cope with compound faults on the communication side and power side, a cyber-physical collaborative restoration strategy is proposed. First, according to the information system's role in fault diagnosis, remote control of equipment maintenance and automatic output adjustment of generator restoration, a cyber-physical coupling model is proposed. On this basis, a collaborative restoration model of power transmission system is established by studying interactions among maintenance schedule paths, information system operation, and power system operation. Based on power flow linearization and the large M-∊ method, the above model is transformed into a mixed integer linear programming model, whose computational burden is reduced further by the clustering algorithm. According to the parameters of IEEE39 New England system, the geographic wiring diagram of the cyber-physical system is established. Simulation results show the proposed restoration strategy can consider the support function of the information system and space-time coordination of equipment maintenance at both sides comprehensively to speed up load recovery progress.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1331-1341"},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165666","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory 基于纳什议价理论优化低碳出行的电氢合作交易模型

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2021.02630

Guangsheng Pan;Wei Gu;Xiaogang Chen;Yuping Lu;Suhan Zhang

{"title":"Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory","authors":"Guangsheng Pan;Wei Gu;Xiaogang Chen;Yuping Lu;Suhan Zhang","doi":"10.17775/CSEEJPES.2021.02630","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.02630","url":null,"abstract":"To further improve the utilization level of distributed photovoltaics (PV) and realize low-carbon travel, a novel optimization cooperative model that considers multi-stakeholders in-cluding integrated prosumers (IP), power to hydrogen (P2H), and grid company (GC) is proposed, based on the Nash bargaining theory. Electricity trading among the three and hydrogen trading between IP and P2H is considered in the model to maximize their own interests. Specifically, IP focus on distributed PV integration and low carbon travels, P2H strives to improve cost competitiveness of hydrogen, and electricity-hydrogen trading prices and quantities are optimized between them. Also, GC obtains profits by charging grid fees considering power flow constraints. The cooperation game model is transformed into a mixed-integer linear programming problem through linearization methods. Case studies show that electricity-hydrogen trading among the three has apparent advantages over pure electricity coupling or non-cooperation. With future reduction of investment prices of PV and P2H and maturity of the carbon trading market, the profit margin of this cooperation model can be further enhanced.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 6","pages":"2577-2586"},"PeriodicalIF":6.9,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165641","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142870200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model-Free Optimal Volt-VAR Control of Wind Farm Based on Data-Driven Lift-Dimension Linear Power Flow

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.00500

Li Guo;Zhaoning Liu;Zhongguan Wang;Xialin Li;Yixin Liu;Yuxuan Zhang;Xiaodi Zang;Chengshan Wang

{"title":"Model-Free Optimal Volt-VAR Control of Wind Farm Based on Data-Driven Lift-Dimension Linear Power Flow","authors":"Li Guo;Zhaoning Liu;Zhongguan Wang;Xialin Li;Yixin Liu;Yuxuan Zhang;Xiaodi Zang;Chengshan Wang","doi":"10.17775/CSEEJPES.2022.00500","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.00500","url":null,"abstract":"This paper proposes a reactive power and voltage optimal control method for wind farms based on data-driven power flow. Because no prior knowledge of wind farm parameters is necessary, the proposed method is model-free. Based on Koopman operator-based method, this paper constructs a power flow model of wind farms connected to the grid by using state space mapping and lift-dimension linearization. Considering reactive power devices such as wind turbines and static var generator (SVG) in wind farms, a global sensitivity-based reactive power and voltage linear optimization control model is proposed. Taking minimum reactive power adjustment of wind turbines and SVG as the objective function, combined with the sensitivity relationship between node voltage and reactive power injection, the proposed model-free voltage control method can realize optimal reactive power distribution, effectively reduce active power loss, and satisfy the requirement of rapid voltage control response of wind farms. Based on historical data of a wind farm in Ningxia, feasibility of the proposed voltage optimal control method under inaccurate parameters is verified. Compared with model-based methods, the proposed method exhibits advantages on parameter dependency and efficiency.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 1","pages":"91-101"},"PeriodicalIF":6.9,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165647","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Network Modeling and Operation Optimization of Electricity-HCNG-Integrated Energy System HCNG电力综合能源系统的网络建模与运行优化

2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.07810

Yue Qiu;Suyang Zhou;Wei Gu;Yuping Lu;Xiao-Ping Zhang;Kang Zhang;Gaoyan Han;Hongkun Lyu

{"title":"Network Modeling and Operation Optimization of Electricity-HCNG-Integrated Energy System","authors":"Yue Qiu;Suyang Zhou;Wei Gu;Yuping Lu;Xiao-Ping Zhang;Kang Zhang;Gaoyan Han;Hongkun Lyu","doi":"10.17775/CSEEJPES.2022.07810","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07810","url":null,"abstract":"Hydrogen-enriched compressed natural gas (HCNG) has great potential for renewable energy and hydrogen utilization. However, injecting hydrogen into the natural gas network will change original fluid dynamics and complicate compressed gas's physical properties, threatening operational safety of the electricity-HCNG-integrated energy system (E-HCNG-IES). To resolve such problem, this paper investigates effect of HCNG on gas network dynamics and presents an improved HCNG network model, which embodies the influence of blending hydrogen on the pressure drop equation and line pack equation. In addition, an optimal dispatch model for the E-HCNG-IES, considering the “production-storage-blending-transportation-utilization” link of the HCNG supply chain, is also proposed. The dispatch model is converted into a mixed-integer second-order conic programming (MISOCP) problem using the second-order cone (SOC) relaxation and piecewise linearization techniques. An iterative algorithm is proposed based on the convex-concave procedure and bound-tightening method to obtain a tight solution. Finally, the proposed methodology is evaluated through two E-HCNG-IES numerical testbeds with different hydrogen volume fractions. Detailed operation analysis reveals that E-HCNG-IES can benefit from economic and environmental improvement with increased hydrogen volume fraction, despite declining energy delivery capacity and line pack flexibility.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 4","pages":"1251-1265"},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10213441/10165639.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50352009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Edge Intelligence for Smart Grid: A Survey on Application Potentials 智能电网的边缘智能：应用潜力综述

2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.02210

Hoay Beng Gooi;Tianjing Wang;Yong Tang

{"title":"Edge Intelligence for Smart Grid: A Survey on Application Potentials","authors":"Hoay Beng Gooi;Tianjing Wang;Yong Tang","doi":"10.17775/CSEEJPES.2022.02210","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.02210","url":null,"abstract":"With the booming of artificial intelligence (AI), Internet of Things (IoT), and high-speed communication technology, integrating these technologies to innovate the smart grid (SG) further is future development direction of the power grid. Driven by this trend, billions of devices in the SG are connected to the Internet and generate a large amount of data at network edge. To reduce pressure of cloud computing and overcome defects of centralized learning, emergence of edge computing (EC) makes the computing task transfer from the network center to the network edge. When further exploring the relationship between EC and AI, edge intelligence (EI) has become one of the research hotspots. Advantages of EI in flexibly utilizing EC resources and improving AI model learning efficiency make its application in SG a good prospect. However, since only a few existing studies have applied EI to SG, this paper focuses on the application potential of EI in SG. First, the concepts, characteristics, frameworks, and key technologies of EI are investigated. Then, a comprehensive review of AI and EC applications in SG is presented. Furthermore, application potentials for EI in SG are explored, and four application scenarios of EI for SG are proposed. Finally, challenges and future directions for EI in SG are discussed. This application survey of EI on SG is carried out before EI enters the large-scale commercial stage to provide references and guidelines for developing future EI frameworks in the SG paradigm.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 5","pages":"1623-1640"},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10288371/10165655.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50327609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Power-to-Hydrogen by Electrolysis in Carbon Neutrality: Technology Overview and Future Development 碳中和电解发电制氢技术综述及未来发展

2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.08850

Zhiyao Zhong;Jiakun Fang;Kewei Hu;Danji Huang;Xiaomeng Ai;Xiaobo Yang;Jinyu Wen;Yuan Pan;Shijie Cheng

{"title":"Power-to-Hydrogen by Electrolysis in Carbon Neutrality: Technology Overview and Future Development","authors":"Zhiyao Zhong;Jiakun Fang;Kewei Hu;Danji Huang;Xiaomeng Ai;Xiaobo Yang;Jinyu Wen;Yuan Pan;Shijie Cheng","doi":"10.17775/CSEEJPES.2022.08850","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08850","url":null,"abstract":"Power-to-hydrogen by electrolysis (PtHE) is a promising technology in the carbon-neutral evolution of energy. PtHE not only contributes to renewable energy integration but also accelerates decarbonization in industrial sectors through green hydrogen production. This paper presents a comprehensive review of PtHE technology. First, technical solutions in PtHE technology are introduced to clarify pros and cons of one another. Besides, the multiphysics coupling and the multi-energy flow are investigated to reveal the insight mechanism during operation of compactly assembled industrial PtHE plants. Then, the development trends of core components in PtHE plants, including electrocatalysts, electrode plates and operation strategy, are reviewed, respectively. Research thrusts needed for PtHE in carbon-neutral transition are also summarized. Finally, three configurations of the PtHE plant in energy system integration are introduced, which can achieve renewable energy integration and efficient energy utilization.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 4","pages":"1266-1283"},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10213441/10165640.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50352010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy and Exergy Efficiency Analysis of Advanced Adiabatic Compressed Air Energy Storage Based Trigeneration Energy Hub 基于先进绝热压缩空气储能技术的三联供能源枢纽的能效和能效分析

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI: 10.17775/CSEEJPES.2022.00720

Danman Wu;Wei Wei;Jiayu Bai;Shengwei Mei

{"title":"Energy and Exergy Efficiency Analysis of Advanced Adiabatic Compressed Air Energy Storage Based Trigeneration Energy Hub","authors":"Danman Wu;Wei Wei;Jiayu Bai;Shengwei Mei","doi":"10.17775/CSEEJPES.2022.00720","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.00720","url":null,"abstract":"With growing public awareness of decarbonization and increasing penetration of renewable generation, energy storage is in great need. Advanced adiabatic compressed air energy storage (AA-CAES) is capable of producing power, heating and cooling, making it an ideal choice of an environmental-friendly energy hub. This paper proposes an energy and exergy efficiency analysis for an AA-CAES based trigeneration energy hub. Impact of power storage and heat load supply rates on energy output efficiency and total exergy losses are analyzed. Based on the proposed model, optimal configuration of power storage and heat load supply rates can be determined under different purposes. According to basic thermodynamic principles, the proposed method calculates trigeneration capability estimates considering energy grade difference and multi-dimension energy distribution, which can demonstrate more energy conversion properties of the system. Case studies verify that the proposed method can provide various characteristic analyses for an energy hub and its application in actual systems proves computation accuracy. Integrative energy efficiency is improved compared to pursuing maximum electricity-to-electricity efficiency.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 6","pages":"2409-2422"},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138550341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0