Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621540
Qing Wang, Hui Hou, Bo Zhao, Leiqi Zhang, Xixiu Wu, C. Xie
Power load forecasting used to rely on some key data such as weather information and regional information. However, it is usually difficult to obtain accurate data of all influencing factors. For this reason, we adopted phase space reconstruction of chaos theory to process the historical load series to avoid collecting some key data. To forecast ahead of time and solve the divergence of forecasting error caused by forecasting ahead of time, this paper proposes a rolling load forecasting method and apply long-short term memory (LSTM) to solve them. The rolling forecasting method is to predict a forecast length in advance, and the test data of LSTM is obtained by shifting a forecast length of training data. This method can not only predict ahead, but also predict the longer-term data through keeping shifting. The proposed methodology is implemented on the PJM power grid dataset in the United States. Compared with some other methods, the results show that the proposed rolling load forecasting model is of more accurate prediction.
{"title":"Load Forecasting Combining Chaos Theory and Long-Short Term Memory in Absence of Key Information","authors":"Qing Wang, Hui Hou, Bo Zhao, Leiqi Zhang, Xixiu Wu, C. Xie","doi":"10.1109/ICPSAsia52756.2021.9621540","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621540","url":null,"abstract":"Power load forecasting used to rely on some key data such as weather information and regional information. However, it is usually difficult to obtain accurate data of all influencing factors. For this reason, we adopted phase space reconstruction of chaos theory to process the historical load series to avoid collecting some key data. To forecast ahead of time and solve the divergence of forecasting error caused by forecasting ahead of time, this paper proposes a rolling load forecasting method and apply long-short term memory (LSTM) to solve them. The rolling forecasting method is to predict a forecast length in advance, and the test data of LSTM is obtained by shifting a forecast length of training data. This method can not only predict ahead, but also predict the longer-term data through keeping shifting. The proposed methodology is implemented on the PJM power grid dataset in the United States. Compared with some other methods, the results show that the proposed rolling load forecasting model is of more accurate prediction.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122877284","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621660
Xiaoming Xiao, Ye Cai, Ying Liu, Zheng-yi Li, Chen Xue
Peak shaving on the user side is an effective means to promote the consumption of clean energy. This study proposes a user-side participation in peak shaving potential evaluation model considering the promotion of clean energy consumption in order to give full play to the advantages of user-side participation in peak shaving, fast response and high economy and to improve user participation enthusiasm. Aiming at the problem of multi-time scale volatility that traditional static methods cannot reflect the peak shaving potential index, this study proposes a dynamic incentive evaluation method by extracting the multi-day typical characteristics of multiple types of users participating in peak shaving. First, interval weights were constructed to reduce the impact of user load fluctuations on evaluation indicators; the idea of acceleration was introduced to describe the trend of changes in the observed values of indicators at different time scales; second, the gain range of the advantages and disadvantages of each type of indicator was calculated. In addition, assigning corresponding ”reward” and ”punishment” values can reflect the current state of the evaluated object more objectively and truly, thereby obtaining dynamic incentive index values; finally, based on interval weights and dynamic incentive index values, an interval-type decision matrix pair was formed. The potential of various types of users to participate in peak shaving was scored and sorted. Taking the load of five types of users in a certain area as an example, the results show that this method can effectively evaluate the peak shaving potential of different types of loads.
{"title":"Evaluation Method of Peak Shaving Potential for Multi-type Users Considering the Promotion of Clean Energy Consumption","authors":"Xiaoming Xiao, Ye Cai, Ying Liu, Zheng-yi Li, Chen Xue","doi":"10.1109/ICPSAsia52756.2021.9621660","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621660","url":null,"abstract":"Peak shaving on the user side is an effective means to promote the consumption of clean energy. This study proposes a user-side participation in peak shaving potential evaluation model considering the promotion of clean energy consumption in order to give full play to the advantages of user-side participation in peak shaving, fast response and high economy and to improve user participation enthusiasm. Aiming at the problem of multi-time scale volatility that traditional static methods cannot reflect the peak shaving potential index, this study proposes a dynamic incentive evaluation method by extracting the multi-day typical characteristics of multiple types of users participating in peak shaving. First, interval weights were constructed to reduce the impact of user load fluctuations on evaluation indicators; the idea of acceleration was introduced to describe the trend of changes in the observed values of indicators at different time scales; second, the gain range of the advantages and disadvantages of each type of indicator was calculated. In addition, assigning corresponding ”reward” and ”punishment” values can reflect the current state of the evaluated object more objectively and truly, thereby obtaining dynamic incentive index values; finally, based on interval weights and dynamic incentive index values, an interval-type decision matrix pair was formed. The potential of various types of users to participate in peak shaving was scored and sorted. Taking the load of five types of users in a certain area as an example, the results show that this method can effectively evaluate the peak shaving potential of different types of loads.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127661092","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621369
Wen Wang, Xiaofeng Peng, Sicheng Duan, Fangjian Chen, Tengxin Wang, M. Xia, Qifang Chen, Ye Yang
Electric vehicles (EVs) can be used as load-side mobile energy storage resources to control the balance of power system supply and demand, so it is particularly important to evaluate the regulation capability of electric vehicle clusters. Firstly, this paper establishes an evaluation model for the regulation capability of EV clusters based on EV battery capacity limitations and user charging requirements. Secondly, after dispatching instructions from the power grid, the status of the electric vehicles at the station is classified. Thirdly, the time margin and the state-of-charge (SOC) margin are comprehensively considered to make dispatching plans for different status types of EVs. The regulation capability is dynamically updated in real time while tracking the dispatching instructions issued by the power grid. Finally, a simulation case of an EV cluster in an office area verifies the effectiveness of the EV cluster regulation capability evaluation model and grid dispatching strategy proposed in this paper.
{"title":"Regulation Capability Evaluation Method of EV Clusters Considering Travel Demand","authors":"Wen Wang, Xiaofeng Peng, Sicheng Duan, Fangjian Chen, Tengxin Wang, M. Xia, Qifang Chen, Ye Yang","doi":"10.1109/ICPSAsia52756.2021.9621369","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621369","url":null,"abstract":"Electric vehicles (EVs) can be used as load-side mobile energy storage resources to control the balance of power system supply and demand, so it is particularly important to evaluate the regulation capability of electric vehicle clusters. Firstly, this paper establishes an evaluation model for the regulation capability of EV clusters based on EV battery capacity limitations and user charging requirements. Secondly, after dispatching instructions from the power grid, the status of the electric vehicles at the station is classified. Thirdly, the time margin and the state-of-charge (SOC) margin are comprehensively considered to make dispatching plans for different status types of EVs. The regulation capability is dynamically updated in real time while tracking the dispatching instructions issued by the power grid. Finally, a simulation case of an EV cluster in an office area verifies the effectiveness of the EV cluster regulation capability evaluation model and grid dispatching strategy proposed in this paper.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131400864","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}
This paper constructs a multi-objective optimization model for the economy, energy efficiency, and environmental protection of the park-level integrated energy system, which includes a combined cooling, heating and power system, heat storage, battery swapping station, electric vehicles, gas boilers, air conditioning, and photovoltaic and thermal. Take battery swapping station, electric vehicles, and air conditioning as the main body of integrated demand response implementation. Use exergy efficiency as an energy efficiency optimization indicator, and pollutant discharge treatment costs as an environmental protection evaluation indicator. The model established in this paper can be solved by Cplex. Finally, the calculation example analyzes the impact of different integrated demand response implementation scenarios on the system operation. The results show that the model can take into account the economy, energy efficiency and environmental protection of system operation, and the effect of peak shaving and valley filling is significant, which can provide a reference for operators.
{"title":"Research on Multi-objective Optimization of Integrated Energy System Considering Integrated Demand Response","authors":"Qingsheng Zhao, Guilong Wang, Dingkang Liang, Zun Guo","doi":"10.1109/ICPSAsia52756.2021.9621644","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621644","url":null,"abstract":"This paper constructs a multi-objective optimization model for the economy, energy efficiency, and environmental protection of the park-level integrated energy system, which includes a combined cooling, heating and power system, heat storage, battery swapping station, electric vehicles, gas boilers, air conditioning, and photovoltaic and thermal. Take battery swapping station, electric vehicles, and air conditioning as the main body of integrated demand response implementation. Use exergy efficiency as an energy efficiency optimization indicator, and pollutant discharge treatment costs as an environmental protection evaluation indicator. The model established in this paper can be solved by Cplex. Finally, the calculation example analyzes the impact of different integrated demand response implementation scenarios on the system operation. The results show that the model can take into account the economy, energy efficiency and environmental protection of system operation, and the effect of peak shaving and valley filling is significant, which can provide a reference for operators.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122365517","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621489
Jiuyang Jin, Huijuan Xu, Hong Tian, Li’an Chen, Jianbin Zeng, Ji Zhang
Based on the model building of doubly fed induction generation (DFIG) system and photovoltaic (PV) power generation system together with their grid-connection control system and 2 typical structures of power distribution system, i.e. radial structure and tree structure, digital simulations with various penetration levels were performed in the Real Time Digital Simulator (RTDS). The results indicate that the influence of the clean energy power source on the radial structure was the largest; voltage was increased in the PV power injected circuit, but decreased in the wind power injected circuit without reactive power compensation; and the variation is not linear with the penetration. As to the short circuit fault performance, short circuit current provided by the PV power system was low but rich in harmonics at 10$^{th}$ order and above; while the DFIG wind power generator performance was similar to synchronous AC source. However, there was transient surge in both current and voltage at the elimination of fault, imposing attention to the design of equipment insulation and power distribution system structure.
{"title":"Research on the Voltage Distribution and Short Circuit Features of Distribution Network with High Level of Clean Energy Penetration","authors":"Jiuyang Jin, Huijuan Xu, Hong Tian, Li’an Chen, Jianbin Zeng, Ji Zhang","doi":"10.1109/ICPSAsia52756.2021.9621489","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621489","url":null,"abstract":"Based on the model building of doubly fed induction generation (DFIG) system and photovoltaic (PV) power generation system together with their grid-connection control system and 2 typical structures of power distribution system, i.e. radial structure and tree structure, digital simulations with various penetration levels were performed in the Real Time Digital Simulator (RTDS). The results indicate that the influence of the clean energy power source on the radial structure was the largest; voltage was increased in the PV power injected circuit, but decreased in the wind power injected circuit without reactive power compensation; and the variation is not linear with the penetration. As to the short circuit fault performance, short circuit current provided by the PV power system was low but rich in harmonics at 10$^{th}$ order and above; while the DFIG wind power generator performance was similar to synchronous AC source. However, there was transient surge in both current and voltage at the elimination of fault, imposing attention to the design of equipment insulation and power distribution system structure.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122367456","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621721
Qi An, Jianxiao Wang, Q. Xia, Gengyin Li, Ming Zhou, Zhenyu Chen, Xiaoquan Lu
In the deregulated markets across the world, the marginal pricing (MP) mechanism is widely adopted. However, this mechanism is known to lose market efficiency when units exercise market power to earn more profits. Most of the existing literature focuses on the design of incentive-compatible market mechanism or market regulation policy to mitigate market power for generation. In this paper, we first explore the role of integrated demand elasticity for market power mitigation. A bi-level optimization framework of integrated demand response (IDR) is developed considering the complementary of energy conversion. On the first level, an economic dispatch model is formulated aiming to minimize the total costs of electric power system operation. On the second level, an IDR model is developed, which enables energy users to flexibly switch the source of consumed energy, including natural gas and hydrogen, etc. We propose a solution algorithm that converts the bi-level model into a single-level optimization model by using Karush-Kuhn-Tucker (KKT) conditions. Then the mixed-integer linear programming model can be embedded in the economic dispatch model. Case studies based on the IEEE 30-bus system demonstrate that IDR can significantly improve demand elasticity, and thus effectively mitigate the strategic incentive of thermal generators.
{"title":"Exploring Integrated Demand Elasticity for Market Power Mitigation","authors":"Qi An, Jianxiao Wang, Q. Xia, Gengyin Li, Ming Zhou, Zhenyu Chen, Xiaoquan Lu","doi":"10.1109/ICPSAsia52756.2021.9621721","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621721","url":null,"abstract":"In the deregulated markets across the world, the marginal pricing (MP) mechanism is widely adopted. However, this mechanism is known to lose market efficiency when units exercise market power to earn more profits. Most of the existing literature focuses on the design of incentive-compatible market mechanism or market regulation policy to mitigate market power for generation. In this paper, we first explore the role of integrated demand elasticity for market power mitigation. A bi-level optimization framework of integrated demand response (IDR) is developed considering the complementary of energy conversion. On the first level, an economic dispatch model is formulated aiming to minimize the total costs of electric power system operation. On the second level, an IDR model is developed, which enables energy users to flexibly switch the source of consumed energy, including natural gas and hydrogen, etc. We propose a solution algorithm that converts the bi-level model into a single-level optimization model by using Karush-Kuhn-Tucker (KKT) conditions. Then the mixed-integer linear programming model can be embedded in the economic dispatch model. Case studies based on the IEEE 30-bus system demonstrate that IDR can significantly improve demand elasticity, and thus effectively mitigate the strategic incentive of thermal generators.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124440781","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621404
Jiaxin Zhao, Xing Wang, Weikang Li, M. Zeng, Yongli Wang, Chenjun Sun
This paper explores the impact of the global energy Internet on the energy industrial structure and then on the industrial structure, establishes a dynamic relationship model between industrial structure adjustment and economic development, and analyzes the promoting effect of industrial development on economic growth. The results show that the output value of the tertiary industry has the strongest pulling effect on the economy, followed by the primary industry, and the first industry is the weakest Economic development is affected by industrial structure. Global energy Internet can promote industrial upgrading, adjust industrial structure, and realize economic benefits.
{"title":"The Impact of Industrial Structure Adjustment on Economic Growth under the Background of Energy Internet","authors":"Jiaxin Zhao, Xing Wang, Weikang Li, M. Zeng, Yongli Wang, Chenjun Sun","doi":"10.1109/ICPSAsia52756.2021.9621404","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621404","url":null,"abstract":"This paper explores the impact of the global energy Internet on the energy industrial structure and then on the industrial structure, establishes a dynamic relationship model between industrial structure adjustment and economic development, and analyzes the promoting effect of industrial development on economic growth. The results show that the output value of the tertiary industry has the strongest pulling effect on the economy, followed by the primary industry, and the first industry is the weakest Economic development is affected by industrial structure. Global energy Internet can promote industrial upgrading, adjust industrial structure, and realize economic benefits.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127840876","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621707
Anming Tang, Yu-Shen Shen, Yunyun Xie, Sisi Liu
Steam turbine is the key part of power plant, which is related to the secure and stable operation of generator. With the development of information and communication technology, the steam turbine of power plant has been developed into cyber-physical system (CPS). Existing simulation platforms of steam turbine focus on physical system, which are usually based on single software platform. Since existing simulation platforms simplify communication part of digital electro-hydraulic (DEH) control system, they cannot simulate the scenarios with communication. Therefore, a cyber-physical platform of steam turbine is proposed in this paper, which takes the communication part of DEH control system into account. The physical part of steam turbine is established in Matlab/Simulink, the DEH control system of steam turbine is operated in Beckhoff embedded controller, and cyber part of steam turbine is built by the communication between Matlab and embedded controller with TCP/IP and ads protocol. Finally, the cyber-physical platform of steam turbine is tested under start-up and grid-connected operation conditions to verify its effectiveness and real-time capability. The platform is envisioned as a tool to help steam turbine researchers with the study of relevant problems such as verifying performance of speed control schemes and carrying out cyber security tests of steam turbine.
{"title":"The Design of Cyber-Physical Simulation Platform for Steam Turbine","authors":"Anming Tang, Yu-Shen Shen, Yunyun Xie, Sisi Liu","doi":"10.1109/ICPSAsia52756.2021.9621707","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621707","url":null,"abstract":"Steam turbine is the key part of power plant, which is related to the secure and stable operation of generator. With the development of information and communication technology, the steam turbine of power plant has been developed into cyber-physical system (CPS). Existing simulation platforms of steam turbine focus on physical system, which are usually based on single software platform. Since existing simulation platforms simplify communication part of digital electro-hydraulic (DEH) control system, they cannot simulate the scenarios with communication. Therefore, a cyber-physical platform of steam turbine is proposed in this paper, which takes the communication part of DEH control system into account. The physical part of steam turbine is established in Matlab/Simulink, the DEH control system of steam turbine is operated in Beckhoff embedded controller, and cyber part of steam turbine is built by the communication between Matlab and embedded controller with TCP/IP and ads protocol. Finally, the cyber-physical platform of steam turbine is tested under start-up and grid-connected operation conditions to verify its effectiveness and real-time capability. The platform is envisioned as a tool to help steam turbine researchers with the study of relevant problems such as verifying performance of speed control schemes and carrying out cyber security tests of steam turbine.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555234","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621632
Jinran Guo, Zhaohao Ding, K. Yu, Fei Tang
Transportation electrification has played an important role in reducing CO2 emissions and mitigating environmental problems. Meanwhile, battery electric buses (BEBs) are growing rapidly due to their energy conservation and quietness. This paper presents a battery electric bus fleet charging scheduling method to optimize the operation of BEBs. According to the total cost minimization of BEB fleets, a charging load management method is proposed to optimize the spatial-temporal distribution of BEB charging load. Besides, we consider the influence of passenger flow and road condition on the power and transportation system, which greatly affect the real travel and charging behavior of BEBs. In addition, several cases are designed to estimate the performance of BEB charging scheduling model. The results verify the effectiveness of BEB fleet charging management scheme.
{"title":"Optimal Electric Bus Fleet Charging Scheduling Considering Passenger Flow","authors":"Jinran Guo, Zhaohao Ding, K. Yu, Fei Tang","doi":"10.1109/ICPSAsia52756.2021.9621632","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621632","url":null,"abstract":"Transportation electrification has played an important role in reducing CO2 emissions and mitigating environmental problems. Meanwhile, battery electric buses (BEBs) are growing rapidly due to their energy conservation and quietness. This paper presents a battery electric bus fleet charging scheduling method to optimize the operation of BEBs. According to the total cost minimization of BEB fleets, a charging load management method is proposed to optimize the spatial-temporal distribution of BEB charging load. Besides, we consider the influence of passenger flow and road condition on the power and transportation system, which greatly affect the real travel and charging behavior of BEBs. In addition, several cases are designed to estimate the performance of BEB charging scheduling model. The results verify the effectiveness of BEB fleet charging management scheme.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"480 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116415189","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}
In order to adapt to the process of constantly deepening China’s electricity market reform, this paper presents a simulation and deduction technology for the result of spot transactions for cascade hydropower stations. Combining with the market modes, transactions rules and scheduling, and production modes in Sichuan, China, the transaction results were simulated and deduced from four perspectives. Based on complex hydraulic and electric connections of cascade hydropower stations (CHSs), and multi-dimensional non-linear constraints, a simulation and deduction model for spot market transaction of CHSs was established and the block multi-sequential algorithm with specified outputs was designed for calculation. The results of spot transactions of eight CHSs in the Dadu River Basin in southwestern China on a certain day were selected for verification of this method. The calculated results show that the method proposed in this paper can identify the bidding risk in a spot transaction. It provides an assistant decision support for the declaration of the bidding in spot transactions of CHSs and satisfies the mode of production of market-based production in the prevailing electricity market environment.
{"title":"Simulation and Deduction Technology for the Result of Spot Transactions for Cascade Hydropower Stations","authors":"Shuai Zhang, Shijun Chen, Guangwen Ma, Weibin Huang, Chunhua Tao, Yongfeng Zhang","doi":"10.1109/ICPSAsia52756.2021.9621541","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621541","url":null,"abstract":"In order to adapt to the process of constantly deepening China’s electricity market reform, this paper presents a simulation and deduction technology for the result of spot transactions for cascade hydropower stations. Combining with the market modes, transactions rules and scheduling, and production modes in Sichuan, China, the transaction results were simulated and deduced from four perspectives. Based on complex hydraulic and electric connections of cascade hydropower stations (CHSs), and multi-dimensional non-linear constraints, a simulation and deduction model for spot market transaction of CHSs was established and the block multi-sequential algorithm with specified outputs was designed for calculation. The results of spot transactions of eight CHSs in the Dadu River Basin in southwestern China on a certain day were selected for verification of this method. The calculated results show that the method proposed in this paper can identify the bidding risk in a spot transaction. It provides an assistant decision support for the declaration of the bidding in spot transactions of CHSs and satisfies the mode of production of market-based production in the prevailing electricity market environment.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115377098","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}
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