Xingyu Shi, Yong Li, Yijia Cao, Yi Tan, Zhisheng Xu, Ming Wen
{"title":"Model predictive control considering cyber-physical system to dampen low frequency oscillation of interconnected power systems","authors":"Xingyu Shi, Yong Li, Yijia Cao, Yi Tan, Zhisheng Xu, Ming Wen","doi":"10.1109/APPEEC.2015.7380996","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380996","url":null,"abstract":"With the infusion of information communication technology (ICT) and power infrastructures, the power systems is becoming a large and complex cyber physical system (CPS). In the CPS, a crucial problem for the evaluation of control systems to face disturbances/faults is transmission time delay in the communication network. In this paper, a hybrid simulation model is established to simulate the operation of CPS, and the time delay is considered in the design process of model predictive control (MPC) based low-frequency oscillation (LFO) damping controller. In the proposed model, the IEEE benchmark two areas interconnected power system with a flexible ac transmission system (FACTS) device is established in the MATLAB/Simulink environment, and the information systems with advanced cyber control center is established in the Microsoft Visual Studio environment. The utility communication network of 3G and fiber optic access is adopted to transmit operation and control data between the aforementioned environments, and the communication time delay is considered sufficiently. In this way, a CPS closed- loop control is formed. Finally, a case study is used to validate the established hybrid simulation model as well as the performance of cyber control center.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129597274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of control structure for modular multilevel converter","authors":"Jichuan Zhang, L. Jing, Lei Shao, Xiaoyao Yuan","doi":"10.1109/APPEEC.2015.7380931","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380931","url":null,"abstract":"Considering the control complexity of modular multilevel converter(MMC) under high-voltage high-power application with too many sub-modules, an improved hierarchical control structure consisted of three-level controller is proposed, to solve the synchronization and low reliability problems of the traditional control system in this paper. Framework structure and implementation of the hierarchical control system is discussed in detail in up-down order, including the operating staff, the upper scheduling interface, the main controller, the sub-module controller, and the communication mode and content between layers. Experiment of a 3-phase 9- level MMC adopting the proposed control structure verified the system's feasibility and flexibility.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128930199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transmission system planning considering integration of renewable energy resources","authors":"Lei Tang, F. Wen, Md. Abdus Salam, S. Ang","doi":"10.1109/APPEEC.2015.7381067","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381067","url":null,"abstract":"The penetration level of renewable energy generation has been increasing in some actual power systems, and hence introduces some new problems and even challenges for transmission system planning. In modern transmission system planning, it is necessary to consider the accommodation capability of renewable energy generation, in addition to the traditional requirement for power system reliability. Given this background, a bi-level transmission system planning model is presented for this purpose with transmission investment costs, load shedding costs, abandoned wind power costs as well as relevant operating constraints considered. In the upper level, the objective is to minimize the sum of annual investment cost and the expected value of annual economic loss of shedding load and wind energy abandoned for given scenarios. In the lower level, the objective is to minimize the sum of economic loss of shedding load energy and wind energy abandoned for each scenario. These two levels are implemented interactively and iteratively, and the optimal transmission system planning scheme will ultimately be attained. The upper level model is described as a mixed-integer optimization problem, and solved by the well- established particle swarm optimization algorithm; the lower level model is formulated as a linear programming problem, and solved by the linear programming solver ILOG CPLEX. Finally, the essential characteristics of the proposed models and adopted algorithms are demonstrated by a modified 18-bus sample power system.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130065867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An energy acquisition model for an aggregator considering demand responses","authors":"Linna Ni, F. Wen, Md. Abdus Salam, S. Ang","doi":"10.1109/APPEEC.2015.7380902","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380902","url":null,"abstract":"An aggregator undertakes multiple tasks in smart distribution network such as energy trading, grouping and providing market access to demand response (DR) resources, coordinating EV charging, efficiently controlling smart appliances of consumers and communicating with the distribution system operator (DSO). In this context, a bi-level linear programming model is established for an aggregator of day-ahead energy acquisition in a smart distribution system with DR into consideration. The outer-level simulates the decision-making process of an aggregator who endeavors to maximize its profit by optimal energy acquisition and flexible energy consumption strategy. The decision-maker of the innerlevel is DSO, who takes the responsibility for the economic dispatch of the distribution system and determines load interruptions systematically. A highly efficient commercial solver CPLEX is utilized in the MATLAB environment to solve the developed model. Finally, a modified IEEE 33-bus distribution system is employed to demonstrate the essential features of the developed model and method.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126499370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. F. Astaneh, B. Bhattarai, B. Bak‐Jensen, Weihao Hu, J. Pillai, Zhe Chen
{"title":"A novel technique to enhance demand responsiveness: An EV based test case","authors":"M. F. Astaneh, B. Bhattarai, B. Bak‐Jensen, Weihao Hu, J. Pillai, Zhe Chen","doi":"10.1109/APPEEC.2015.7380885","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380885","url":null,"abstract":"In this study, a new pricing approach is proposed to increase demand responsiveness. The proposed approach considers two well-known demand side management techniques, namely peak shaving and valley filling. This is done by incentivizing consumers by magnifying price difference between peak and off-peak hours. The usefulness of the suggested method is then investigated by its combination with an electric vehicle optimal scheduling methodology which captures both economic valuation and grid technical constraints. This case is chosen in this study to address network congestion issues, namely under-voltages and overloading which are foreseen as major issues in the distribution system in the coming years. Simulation results demonstrated that the proposed methodology can successfully shift load from peak to off-peak hours, thereby letting higher penetration of EVs in a given distribution feeder.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127081802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vehicle to grid system in frequency regulation for securing electricity network stability","authors":"Timo A. Lehtola, A. Zahedi","doi":"10.1109/APPEEC.2015.7381073","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381073","url":null,"abstract":"The vehicle to grid (V2G) system can provide frequency regulation for grid and stable electricity network. Several pilot projects are ongoing in the United States. The stable electricity network is important for national security. Fluctuating frequency can be balanced by stabilising generation and load to equal. Power stations transfer electricity through substations to military bases. In network failure situation, military bases can form islanded microgrid. General purpose vehicles can provide V2G services to the microgrid. While electricity price is varying during the time, V2G can provide profit by charging during lower price and discharging during higher price. The paper closes with suggestions for future demonstrations and pilot programs that will assist in further defining the technical requirements.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128146745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A systematic approach of resonant tank design for LLC converters implemented in solar photovoltaic energy storage systems","authors":"W. Water, Boyuan Zhu, Junwei Lu, D. Butler","doi":"10.1109/APPEEC.2015.7380893","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380893","url":null,"abstract":"This paper discusses the design considerations of High Frequency (HF) magnetics to be used in Linear Level Control (LLC) converters. Most of LLC converter design starts with LLC parameters calculation. The magnetics are then designed to match the requirements. However, this is not always the most optimized result as the implemented magnetics does not operate at maximum efficiency. Therefore, this paper proposes systematic LLC converter design procedures to deal with this problem. A systematic approach of the magnetics design was conducted, and the introduced methodology is particularly suitable for LLC converters used in solar photovoltaic (PV) energy storage systems. A 350 W LLC converter example was examined and demonstrated. The efficiency performance is very consistent across the operating frequencies, in which the efficiency variation is less than 1.5%.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128197510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on power system fault diagnosis considering relay protection condition assessment","authors":"Z. Dongmei, Wang Jian, Zhang Xu, Liang Weichen","doi":"10.1109/APPEEC.2015.7381036","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381036","url":null,"abstract":"Targeting at diagnosing complex power system faults, a power system fault diagnosis method considering relay protection condition assessment is proposed. With relay protection condition assessment, the power system fault diagnosis model is created, based on which, the objective function considering relay protection failure is proposed, and its protection action term is modified based on the condition assessment results of protection devices. The optimal fault hypothesis is obtained using genetic algorithm with variable length chromosome, thereby fulfilling power system fault diagnosis. The availability of this method is further validated via a case of a substation.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127419008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed optimization for generation scheduling of interconnected microgrids","authors":"Yansong Li, Nian Liu, Chenshuo Wu, Jianhua Zhang","doi":"10.1109/APPEEC.2015.7380943","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380943","url":null,"abstract":"Microgrids will make fuller consumption of renewable energy by connecting with each other. On that scenario, the generation schedule is supposed to be optimized on view of the total interconnected microgrids (IMGs), which may infringe the privacy of MG. A distributed optimization method for generation scheduling of MIGs using the alternating direction method of multipliers (ADMM) is proposed in this paper, so that the MG won't need to share their own information of sources and loads and so on, but only the expected exchanging power information. The case confirms the efficiency of the distributed optimization method compared to the centralized one.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125131253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of energy dispatch strategy of active distribution network using chance-constrained programming","authors":"Xie Hua, Chen Yuxi, Wang Jian, V. Agelidis","doi":"10.1109/APPEEC.2015.7380932","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380932","url":null,"abstract":"Active distribution network plays an important role in increasing the utilization level of the renewable energy and realizing the flexible intelligent distribution network management. In this paper, aiming to improve the economy and reliability of the active distribution network, the energy dispatch strategy is designed by the method of the chance-constrained programming. Considering the uncertainty of the photovoltaic power generation and wind power generation, the random simulation technique and the penalty function method are selected to build the energy scheduling mathematical model. The operation constraints are set for wind turbines, photovoltaic power generation unit, the active power energy storage devices and the exchange power between the superior power system and the active distribution network. The energy dispatch strategy is given by the improved particle swarm algorithm. An actual system in a certain area is chosen to verify the effectiveness of the proposed method in this paper.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134586021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}