2021 IEEE Sustainable Power and Energy Conference (iSPEC)最新文献

{"title":"Optimal Short-term Operation of Wind-PV-Hydro-Thermal System With Cascade Reservoirs Considering Shiftable Loads","authors":"Changbin Ju, Tao Ding, Zhengyang Zhou, Yuge Sun, Yuankang He, Ruifeng Liu, Xiaofang Qi, Tianen Chen","doi":"10.1109/iSPEC53008.2021.9735930","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735930","url":null,"abstract":"Driven by the goal of carbon neutrality, renewable energy penetration will keep rising, which will become a difficult problem to the dispatch of power systems and accommodation of renewable energy. Cascade hydropower system (CHS) and shiftable loads are flexible resources with excellent performance to regulate the drastic fluctuations of renewable power. Therefore, this paper establishes an optimal dispatching model of the wind-PV-hydro-thermal system considering cascade reservoirs and shiftable loads. With the case study founded on the CHS in the upper Wujiang River in China, effectiveness of the proposed model gets the verification.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566003","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":"Temporal and Spatial Characteristics Analysis of Electrical Vehicle Charging Behaviour Based on SUMO","authors":"Wenxuan Shu, Yiwei Xu, Haohui Ding, Zhenya Ji, Qinran Hu","doi":"10.1109/iSPEC53008.2021.9736016","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736016","url":null,"abstract":"The electric vehicle has attracted widespread attention because of its advantages of emitting few carbon dioxides. Developing electric vehicles is a promising way to reduce carbon emissions. However, the development of electric vehicles relies on infrastructure construction, such as charging piles and the power grid. The analysis of electric vehicles’ charging behavior is the basis for promoting these infrastructure constructions. In this paper, the software of Simulation of Urban MObility is applied to study the spatial and temporal characteristics of EV charging behavior based on the travel chain framework. This paper proposes a method for EV charging load forecasting and visualization based on Simulation of Urban MObility. An actual case of Nanjing city has been studied, and the results show that this method can effectively deliver the change of charging demand load in each region. At the same time, Simulation of Urban MObility can help visualize how each vehicle is moving.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131832947","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":"Influence of Discrete and Continuous Action Spaces on Deep Reinforcement Learning-Based Pricing Strategy Optimization for Electricity Retailers","authors":"Hongsheng Xu, Xiaowei Cai, Jiao Shu, Jixiang Lu","doi":"10.1109/iSPEC53008.2021.9735962","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735962","url":null,"abstract":"The pricing strategy optimization problem becomes important for electricity retailers in electricity market. Deep reinforcement learning (DRL) has been applied to solve the strategic decision-making problems in electricity market area. However, the influence of discrete and continuous action spaces on optimization results by using DRL-based methods to solve for optimal retail price is unknown. This paper applies two different DRL-based retail pricing strategies through deep Q network (DQN) and deep deterministic policy gradient (DDPG) for the electricity retailers. An in-depth comparative analysis between DQN and DDPG is conducted in terms of convergence and computational performance. The numerical results of optimal retail prices and responding loads show the influence of discrete and continuous actions space on optimization effect.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127591663","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":"Optimal Strategy for Electric Vehicle Charging Decision Considering “Source-Network-Pile”","authors":"Sheng Xu, Tingyu Jin, Wenjun Wu, Xi Zhang, Huanqing Tang, Qingqing Han","doi":"10.1109/iSPEC53008.2021.9735512","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735512","url":null,"abstract":"Reducing carbon emission is a continuous goal of the new power system. Among numerous strategies of carbon emission reduction, optimizing the charging behavior of electric vehicles (EV) is of great significance to the stable operation of the power system as well as the reduction of carbon emission. This paper proposed a source-network-pile charging decision-making optimization strategy for EVs. Firstly, the photovoltaic (PV) source is introduced into the traffic-grid coupling network model, and the weight calculation method for “source-network-pile” is proposed. Then, a charging strategy for EV considering charging time, carbon emission, charging cost, operating state of coupling network and PV output is proposed. This strategy can reduce the charging queuing time of electric vehicles and reduce carbon emissions of power system. Finally, effectiveness of this strategy is proven by simulation conducted in Matlab.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127593497","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":"Coordinated Control Method of Multi-infeed DC System for Commutation Failure Prevention","authors":"Wentao Sun, Quanquan Wang, Rui Gu, Chenyi Zheng, Yurong Wang","doi":"10.1109/iSPEC53008.2021.9736064","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736064","url":null,"abstract":"Commutation failure predictive control (CFPREV) is widely used to suppress commutation failure (CF) in practical multi-feed DC systems (MIDC). The current research is mainly limited to the improvement of CF suppression strategy for single-loop DC system without considering the influence of this DC controller on other DC systems. The CFPREV not only reduces the risk of CF, but also increases the reactive power consumption of the local DC system, which will affect the normal commutation process of other DC systems. Therefore, a coordinated control method of MIDC for CFPREV is proposed in this paper. First, the reactive power coupling factor is proposed to qualitatively determine the coupling degree between each DC system, and then multiplied by the margin to guide the adaptive output of CFPREV. Reduce the CFPREV output when the margin of other DC systems is low to avoid the CF of other DC systems. Based on the CIGRE HVDC standard test model in the electromagnetic transient simulation platform PSCAD/EMTDC, the three-feed DC system was built as the simulation model, and the effectiveness of the proposed control method to suppress CF was verified.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127617688","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":"Study on the Development Trends of Data Center Construction Under the Low Carbon Background","authors":"Junping Yin, He Huang, Jian Tan, Xingyang Zhu, Shiyu Meng","doi":"10.1109/iSPEC53008.2021.9735622","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735622","url":null,"abstract":"Nowadays, with the rapid development of cloud computing, big data, artificial intelligence, Internet and 5G in China, the data is growing several times. As the carrier of data, the construction scale of date center is expanding, and the energy consumption is also increasing significantly. With the proposal of China’s goal of ‘carbon peaking and carbon neutralization’, the data center is facing new development challenges. This paper analyzes the development status and existing problems of data center, and puts forward the development trend of data center in the future.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130842170","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":"Development Status of Advanced Thermal Power Technology and Low-carbon Path of China's Thermal Power Industry","authors":"Wang Yueming, Zhang Xuwei, Qi Yongqiang, Wu Jiarong, Yang Yu, Bai Wengang, Yang Pu, Zhang Yifan, L. Hongzhi, Yao Mingyu","doi":"10.1109/iSPEC53008.2021.9735673","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735673","url":null,"abstract":"Climate change is a major global challenge facing mankind today. In order to actively respond to climate change, China has proposed carbon peak and carbon neutral goals. On the one hand, it is China internal requirements for achieving sustainable development. It is an important starting point for strengthening the construction of ecological civilization and achieving the goal of a beautiful China. On the other hand, it is also the responsibility of China as a responsible major country to fulfill its international responsibilities and promote the building of a community with a shared future for mankind. The power industry is a pillar industry of the national economy and a key carbon emission industry. At present, thermal power generation is still the most important method of power generation in China, and the peaking of carbon in the thermal power generation industry plays an important role in achieving the goal of carbon peaking in China. In order to achieve the goal of “30$cdot$60 carbon peak carbon neutrality” in the thermal power industry, the development status of thermal power generation technology, future development trends and carbon capture are considered, and the high-efficiency and flexible coal-fired power generation technology, efficient and flexible gas-fired power generation technology, and coupling renewable energy thermal power generation technology, coal-biomass blended combustion power generation technology, and carbon capture and application technology have been investigated in the paper, which points out the direction for the low-carbon development of the thermal power industry. Generally speaking, China’s thermal power generation technology has reached the world’s advanced level. However, there is still a need to study high-efficiency and low-carbon thermal power generation technologies. In terms of low-carbon applications and technologies for thermal power, the focus should be on high-efficiency thermal power technology and peak shaving technology. In the future, the thermal power industry will adopt high-efficiency thermal power technologies such as ultra-high-parameter ultra-supercritical coal-fired power generation technology, supercritical CO2 cycle high-efficiency coal-fired power generation technology, low-carbon coal-fired energy-saving integrated technology, and high-efficiency natural gas power generation technology based on advanced gas turbines to greatly improve the efficiency of thermal power plants and reduce the carbon emission level per power generation capacity. In addition, the thermal power plants adopt advanced peak-shaving technology to increase the depth and speed of peak-shaving in order to absorb more low-carbon electricity such as renewable energy. For natural gas power plants, carbon intake can be reduced from the source through hydrogen-blended combustion. Carbon emissions in the thermal power industry are inevitable. The development of low-cost carbon capture technologies should be focused on to a","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133534639","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":"Evaluation of Distribution Network Reconstruction Scheme Based on Dynamic Interval Intuitionistic Fuzzy Group Decision-Making","authors":"Longlong Shang, Wentao Kang, Wei Liu, Ran Hu, Yanyan Cui, M. Zhao","doi":"10.1109/iSPEC53008.2021.9735809","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735809","url":null,"abstract":"The application of intelligent technology such as perception, communication, etc. provides a large amount of real-time data for distribution network reconstruction. Under this context, this paper conducts a dynamic evaluation study on distribution network reconstruction scheme. Based on the analysis of the influencing factors of distribution network planning, the evaluation index of the distribution network reconstruction scheme is put forward. Then, factor analysis and Bayesian network analysis are employed to determine the weighty, on which further retrieve the main factors affecting distribution network reconstruction, concurrently giving the priority of the construction and reformation and feasible implementation scheme. Considering the uncertainty of distribution network, a dynamic intuitionistic fuzzy multi-attribute group decision-making is proposed to realize the dynamic evaluation of the distribution network reconstruction scheme, and thus find out the optimal. Simulations and discussions are carried out to prove and analyze the rationality and effectiveness of the proposed method.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133700853","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":"Unbalanced Funds in Different Electric Power Trading Settlements","authors":"Li Xuenong, Bai Hewen, Shao Chengcheng, Pei Ligeng, Zhang Xin, Wang Kai","doi":"10.1109/iSPEC53008.2021.9736053","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736053","url":null,"abstract":"The prominently accumulating unbalanced funds emerging in many pilot provinces have become the main barriers of the spot market reform and development in China. This paper aims to clarify the sources of unbalanced funds and try to reduce them. First, the various settlement rules adopted by typical pilots are compared in the double-track system where spot markets coexist with the non-market electricity plan. Then, the mathematic expression of unbalanced funds is derived under different market rules and the corresponding influencing factors are analyzed. Finally, the case studies under different scenarios have shown that the settlement deviation between the forecasted non-market load and its actual power consumption contributes the main unbalanced funds in most periods with sufficient power supply. The results help improving the settlement rules and promote the power market reform in China.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133436970","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":"Analysis of Open Circuit Voltage and Internal Degradation under External Factors for EV Battery Considering Hysteresis","authors":"Huiqiao Liu, Qian Xiao, Zhipeng Jiao, Jinhao Meng, Wenbiao Lu, Yunfei Mu, H. Jia","doi":"10.1109/iSPEC53008.2021.9736046","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736046","url":null,"abstract":"The open circuit voltage (OCV) tests and internal potential degradation diagnosis for vehicle application under different external factors has significance in understanding the relationship between the state of charge/ state of health of the battery and the external factors. In this paper, an analysis method is proposed for the OCV hysteresis of battery (cathode: LiFePO4 under the different external factors, including mechanical stress and temperature under driving conditions. Firstly, the main phenomenon inside the battery and impedance calculation methodology (ICM) is introduced. The ICM is used to describe the impedance conditions of ohmic resistance, charge transfer resistance, and Warburg resistance under external factors. Then, many experimental tests are conducted to investigate the OCV hysteresis and internal resistances under external factors. Finally, the results demonstrate the OCV hysteresis is mainly affected by low temperature especially. The electrochemical impedance spectroscopy (EIS) is influenced by both the mechanical stress and the temperature. The -10 °C temperature effect and extrusion stress have a huge impact on ohmic resistance; the 40°C temperature effect and 6-DOF vibration stress have great impact on charge transfer resistance. The 10°C and 0°C temperature effects have tremendous influence to Warburg resistance. In addition, according to the relationship between internal resistances or external factors and potential aging mechanisms, potential aging effect and pertinent effect, the internal pertinent degradation can be diagnosed qualitatively.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133472497","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}