Pub Date : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9784013
Xiao-ling Yuan, Yi Guo, Hua Jiang, Chen Qian
In order to further promote the construction of power market, it is necessary to analyze the transaction mode of fair competition in the spot market. This paper proposes a leader-follower game model of power transaction based on blockchain, analyzes and solves the Nash equilibrium state in the game. This paper analyzes the impact of the application degree of block chain on the income of participants in the power market, and allocates the income of the supply side through the cooperative game of power suppliers. The simulation results show that the application of blockchain is conductive to building an open and transparent market environment, promoting power trading and resource consumption, and optimizing the target revenue on both sides of supply and demand. At the same time, the cooperative game between power suppliers can increase the profits of the supply side, ensure the reasonable distribution of the interests of the supply side.
{"title":"Study on Game Behavior of Power Suppliers Based on Blockchain","authors":"Xiao-ling Yuan, Yi Guo, Hua Jiang, Chen Qian","doi":"10.1109/ACPEE53904.2022.9784013","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784013","url":null,"abstract":"In order to further promote the construction of power market, it is necessary to analyze the transaction mode of fair competition in the spot market. This paper proposes a leader-follower game model of power transaction based on blockchain, analyzes and solves the Nash equilibrium state in the game. This paper analyzes the impact of the application degree of block chain on the income of participants in the power market, and allocates the income of the supply side through the cooperative game of power suppliers. The simulation results show that the application of blockchain is conductive to building an open and transparent market environment, promoting power trading and resource consumption, and optimizing the target revenue on both sides of supply and demand. At the same time, the cooperative game between power suppliers can increase the profits of the supply side, ensure the reasonable distribution of the interests of the supply side.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116290839","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783634
Zhiyong Pu, Miao Wang, Hao Zheng, Zirui Liu
When large-scale of wind generation participate in power spot market, it is facing financial risk and curtailment challenge due to its volatility. Energy storage system (ESS) is one of the key means to enhance the controllability of wind generation. Planning of reasonable scale of ESS is important for wind farm GENCO to ensure the overall economic benefits. In the paper, a process for optimal planning of ESS for a wind farm GENCO in a power spot market is proposed. Day-ahead and real-time market price of a power spot market is predicted based on a production cost simulation model. And day-ahead and real-time power output of wind generation are established based on a probabilistic model using historical data. The optimal capacity and energy of ESS is obtained by using an optimization model that maximizes the combined economic benefits of the wind farm and ESS by reducing wind generation curtailment and the economic loss due to the forecast error in the spot market. A case study is performed based on actual power system data to optimize the ESS scale for a wind farm.
{"title":"Optimal Planning of Energy Storage for Wind Farm GENCO in Power Spot Market","authors":"Zhiyong Pu, Miao Wang, Hao Zheng, Zirui Liu","doi":"10.1109/ACPEE53904.2022.9783634","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783634","url":null,"abstract":"When large-scale of wind generation participate in power spot market, it is facing financial risk and curtailment challenge due to its volatility. Energy storage system (ESS) is one of the key means to enhance the controllability of wind generation. Planning of reasonable scale of ESS is important for wind farm GENCO to ensure the overall economic benefits. In the paper, a process for optimal planning of ESS for a wind farm GENCO in a power spot market is proposed. Day-ahead and real-time market price of a power spot market is predicted based on a production cost simulation model. And day-ahead and real-time power output of wind generation are established based on a probabilistic model using historical data. The optimal capacity and energy of ESS is obtained by using an optimization model that maximizes the combined economic benefits of the wind farm and ESS by reducing wind generation curtailment and the economic loss due to the forecast error in the spot market. A case study is performed based on actual power system data to optimize the ESS scale for a wind farm.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116853630","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9784025
Naihao Liu, Houlei Gao, Bin Xu, Yitong Wu
Due to burn out of fossil fuels, wind energy resources have been gradually used. The fault characteristics are significantly different from the traditional power supply due to the special structure of the wind farms. There are many structural similarities between squirrel-cage inductor generator (SCIG) wind farms and direct-driven wind turbine with permanent magnet generator (D-PMG) wind farms. At present, the literature mainly focuses on DFIG and D-PMG wind farms. There are few studies on SCIG wind farms, and few articles comparing the fault characteristics of them. This article will compare and analyze the fault characteristics of SCIG wind farms and D-PMG wind farms under different fault conditions. Accordingly, causes of such faults are explained. Finally, it is concluded that there is no significant difference about the fault characteristics of them at the wind farm outgoing transmission line.
{"title":"Comparative analysis of wind field fault characteristics of squirrel-cage wind farms and direct-drive wind farms","authors":"Naihao Liu, Houlei Gao, Bin Xu, Yitong Wu","doi":"10.1109/ACPEE53904.2022.9784025","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784025","url":null,"abstract":"Due to burn out of fossil fuels, wind energy resources have been gradually used. The fault characteristics are significantly different from the traditional power supply due to the special structure of the wind farms. There are many structural similarities between squirrel-cage inductor generator (SCIG) wind farms and direct-driven wind turbine with permanent magnet generator (D-PMG) wind farms. At present, the literature mainly focuses on DFIG and D-PMG wind farms. There are few studies on SCIG wind farms, and few articles comparing the fault characteristics of them. This article will compare and analyze the fault characteristics of SCIG wind farms and D-PMG wind farms under different fault conditions. Accordingly, causes of such faults are explained. Finally, it is concluded that there is no significant difference about the fault characteristics of them at the wind farm outgoing transmission line.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124468218","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}
Air conditioning loads have the potential to provide reserve for power system after aggregation. In order to realize the participation of aggregated air conditioning load in system scheduling and provide trusted reserve capacity, an analysis and calculation method of trusted reserve characteristics of aggregated air conditioning load was proposed. Firstly, the response time and available reserve capacity of the standby dynamic process were determined. Based on the air conditioning loads' aggregated model, the dynamic characteristics of air conditioning load providing trusted reserve were analyzed. Through a large number of simulation experiments, nonlinear regression analysis was carried out on the experimental data affecting the reserve time and capacity characteristics, and the analytical expressions of dynamic response time, reserve capacity and external parameter distribution were fitted to provide time and capacity basis for predicting the reserve characteristics of aggregated air conditioning loads.
{"title":"Characteristic Analysis and Calculation Method of Aggregated Air Conditioning Loads Providing Reliable Reserve for Power System","authors":"Dawei Tian, Q. Ma, Yujie Geng, Yuanyuan Wang, Lingkai Zhu, W. Zheng","doi":"10.1109/ACPEE53904.2022.9783739","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783739","url":null,"abstract":"Air conditioning loads have the potential to provide reserve for power system after aggregation. In order to realize the participation of aggregated air conditioning load in system scheduling and provide trusted reserve capacity, an analysis and calculation method of trusted reserve characteristics of aggregated air conditioning load was proposed. Firstly, the response time and available reserve capacity of the standby dynamic process were determined. Based on the air conditioning loads' aggregated model, the dynamic characteristics of air conditioning load providing trusted reserve were analyzed. Through a large number of simulation experiments, nonlinear regression analysis was carried out on the experimental data affecting the reserve time and capacity characteristics, and the analytical expressions of dynamic response time, reserve capacity and external parameter distribution were fitted to provide time and capacity basis for predicting the reserve characteristics of aggregated air conditioning loads.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129416539","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783922
Ziqiang Ming, Xin Zhang, Ke Liu, Jianxing Ren, Wenxiang Yan, Tao Yuan
At present, most soil models used in grounding design do not consider the existence of heterogeneous region. However, local heterogeneous modules with high or low resistance will greatly affect the soil model under certain conditions, and these heterogeneous regions cannot be ignored at this time. In this paper, the necessity of soil model considering heterogeneous region is demonstrated through simulating calculation in CDEGS. Firstly, a complex soil model considering heterogeneous region is introduced and simplified reasonably. Then the method of comparing the error of apparent resistivity between soil model considering heterogeneous region and traditional soil model by CDEGS is illustrated. Finally, a case study was conducted to compare the homogeneous soil model and stratified soil model with the one proposed in this paper, further verifying the necessity of soil model considering heterogeneous region under certain conditions.
{"title":"Analysis of Differences in Apparent Resistivity Between Soil Model Considering Heterogeneous Region and Traditional Soil Model","authors":"Ziqiang Ming, Xin Zhang, Ke Liu, Jianxing Ren, Wenxiang Yan, Tao Yuan","doi":"10.1109/ACPEE53904.2022.9783922","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783922","url":null,"abstract":"At present, most soil models used in grounding design do not consider the existence of heterogeneous region. However, local heterogeneous modules with high or low resistance will greatly affect the soil model under certain conditions, and these heterogeneous regions cannot be ignored at this time. In this paper, the necessity of soil model considering heterogeneous region is demonstrated through simulating calculation in CDEGS. Firstly, a complex soil model considering heterogeneous region is introduced and simplified reasonably. Then the method of comparing the error of apparent resistivity between soil model considering heterogeneous region and traditional soil model by CDEGS is illustrated. Finally, a case study was conducted to compare the homogeneous soil model and stratified soil model with the one proposed in this paper, further verifying the necessity of soil model considering heterogeneous region under certain conditions.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128392252","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783889
Bo Ding, Liyang Du, Zhipeng Xia, Shaofei Wang
With the construction of the power Internet, the safety and reliability of edge Equipment of power grid have been put forward higher requirements. This paper proposes a blockchain-based security protection method for edge Equipment of power Internet of Things. Based on Blockchain technology, Hash chain and distributed storage scheme are used to realize lightweight authentication method, and an identity authentication scheme for edge Equipment is proposed in line with the characteristics of security and stability control system. A hierarchical access control strategy based on multi-attributes is established by mining the relationship of attribute permissions among data access roles in power Internet. The experiment shows that the average operation time of the new equipment's network access and certification is in the order of ms, which effectively meets the high requirements of timeliness and security of the power system. The access control strategy can meet the requirements of multi-entity and multi-role access in the power Internet scenario, and can monitor and identify the behavior compliance of various access Equipment, which greatly improving the communication security and efficiency between power Equipment.
{"title":"Security Protection Method for the Edge Equipment of Power Internet of Things based on Blockchain","authors":"Bo Ding, Liyang Du, Zhipeng Xia, Shaofei Wang","doi":"10.1109/ACPEE53904.2022.9783889","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783889","url":null,"abstract":"With the construction of the power Internet, the safety and reliability of edge Equipment of power grid have been put forward higher requirements. This paper proposes a blockchain-based security protection method for edge Equipment of power Internet of Things. Based on Blockchain technology, Hash chain and distributed storage scheme are used to realize lightweight authentication method, and an identity authentication scheme for edge Equipment is proposed in line with the characteristics of security and stability control system. A hierarchical access control strategy based on multi-attributes is established by mining the relationship of attribute permissions among data access roles in power Internet. The experiment shows that the average operation time of the new equipment's network access and certification is in the order of ms, which effectively meets the high requirements of timeliness and security of the power system. The access control strategy can meet the requirements of multi-entity and multi-role access in the power Internet scenario, and can monitor and identify the behavior compliance of various access Equipment, which greatly improving the communication security and efficiency between power Equipment.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128473825","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783856
Xiaorui Hu, J. Shu, Hao Yue, Yunli Yue
Renewable generation is rapidly developing along with dual-carbon strategy. Power spot markets are established in 8 provinces in terms of national market reform of power industry. Accordingly, conventional power system planning should be adjusted to accommodate to the new era power system. In the paper, an optimal integrated planning method in the purpose of meeting renewable accommodation target with consideration of economic impact to the spot market is proposed. A chronological production cost simulation model with security constraint unit commitment and locational marginal price calculation is used to simulate the power spot market. A root-cause analysis of renewable curtailment based on simulation results is designed to initially determine planning alternatives including transmission upgrades and energy storage systems. Optimal integrated planning is achieved based on the quantitative analysis of economic impact of planning alternatives using the simulation model. A case study using an actual provincial power system with spot market environment shows that the proposed planning method is able to provide the economically reasonable planning alternative with meeting renewable accommodation target.
{"title":"Root-cause Analysis of Renewable Curtailment Based Integrated Power System Optimal Planning in Power Spot Market","authors":"Xiaorui Hu, J. Shu, Hao Yue, Yunli Yue","doi":"10.1109/ACPEE53904.2022.9783856","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783856","url":null,"abstract":"Renewable generation is rapidly developing along with dual-carbon strategy. Power spot markets are established in 8 provinces in terms of national market reform of power industry. Accordingly, conventional power system planning should be adjusted to accommodate to the new era power system. In the paper, an optimal integrated planning method in the purpose of meeting renewable accommodation target with consideration of economic impact to the spot market is proposed. A chronological production cost simulation model with security constraint unit commitment and locational marginal price calculation is used to simulate the power spot market. A root-cause analysis of renewable curtailment based on simulation results is designed to initially determine planning alternatives including transmission upgrades and energy storage systems. Optimal integrated planning is achieved based on the quantitative analysis of economic impact of planning alternatives using the simulation model. A case study using an actual provincial power system with spot market environment shows that the proposed planning method is able to provide the economically reasonable planning alternative with meeting renewable accommodation target.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129314802","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9784032
C. Xia, Jun Tan, Tingting Liu, Guangyi Liu
Due to the discrepancy between the ideal Bus-Branch model and the actual connection configuration of shunt reactors and measurement devices in Node-Breaker model, it is hard to accurately calculate the impacts of shunt reactors on the reactive power estimation of transmission lines. In order to improve the power estimation accuracy for the state estimation in energy management system (EMS), this paper proposes a graph-based reactive power estimation method for transmission lines to overcome the complex network topology processing problem related to the connections of shunt reactors. To achieve efficient and accurate solution for state estimation, this paper developed a graph data model for power system modeling in EMS application and leveraged the advantages of graph computing in handling the topology analysis and achieving parallel computing for state estimation. Based on proposed graph data model, a graph computing based approach is developed to allocate the injected reactive power of the shunt reactors to transmission lines and a nodal paralleled state estimation algorithm is proposed to incorporate the impact of shunt reactors. Finally, the effectiveness of the proposed approach is verified on an existing large-scale power transmission system.
{"title":"A Novel Graph-based Accurate Reactive Power Estimation Method for Transmission Lines Considering the Impacts of Shunt Reactors","authors":"C. Xia, Jun Tan, Tingting Liu, Guangyi Liu","doi":"10.1109/ACPEE53904.2022.9784032","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784032","url":null,"abstract":"Due to the discrepancy between the ideal Bus-Branch model and the actual connection configuration of shunt reactors and measurement devices in Node-Breaker model, it is hard to accurately calculate the impacts of shunt reactors on the reactive power estimation of transmission lines. In order to improve the power estimation accuracy for the state estimation in energy management system (EMS), this paper proposes a graph-based reactive power estimation method for transmission lines to overcome the complex network topology processing problem related to the connections of shunt reactors. To achieve efficient and accurate solution for state estimation, this paper developed a graph data model for power system modeling in EMS application and leveraged the advantages of graph computing in handling the topology analysis and achieving parallel computing for state estimation. Based on proposed graph data model, a graph computing based approach is developed to allocate the injected reactive power of the shunt reactors to transmission lines and a nodal paralleled state estimation algorithm is proposed to incorporate the impact of shunt reactors. Finally, the effectiveness of the proposed approach is verified on an existing large-scale power transmission system.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129533226","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9784098
Zhenqiang Li, Ying Lou, Tao Cui, Z. Zha
The overvoltage level of UHV substation, transmission line and the characteristics of metal-oxide arrester (MOA) are the foundation of insulation co-ordination. Deep suppression of overvoltage level of UHV system is conducive to improving the insulation margin of transmission lines and substations, and even reducing their insulation level. In this paper, under the conditions of different system structures and line lengths, EMTP program is used to calculate and study the measures of suppressing slow-front overvoltage by adopting lower rated voltage MOA in UHV substation and installing line type MOA near the midpoint of the transmission line. The results of the this study show that the use of lower rated voltage MOA or the installation of line type MOA near the midpoint of line can lower overvoltage with a length of 400km or less to about 1.6p.u. or less. For the distance of transmission line that more than 400 km, it is necessary to combine the two suppression measures to achieve the same suppression effect.
{"title":"Study on the Effect of Optimizing the Configuration of Metal-oxide Arresters in UHV Engineering on Suppressing Slow-front overvoltage","authors":"Zhenqiang Li, Ying Lou, Tao Cui, Z. Zha","doi":"10.1109/ACPEE53904.2022.9784098","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784098","url":null,"abstract":"The overvoltage level of UHV substation, transmission line and the characteristics of metal-oxide arrester (MOA) are the foundation of insulation co-ordination. Deep suppression of overvoltage level of UHV system is conducive to improving the insulation margin of transmission lines and substations, and even reducing their insulation level. In this paper, under the conditions of different system structures and line lengths, EMTP program is used to calculate and study the measures of suppressing slow-front overvoltage by adopting lower rated voltage MOA in UHV substation and installing line type MOA near the midpoint of the transmission line. The results of the this study show that the use of lower rated voltage MOA or the installation of line type MOA near the midpoint of line can lower overvoltage with a length of 400km or less to about 1.6p.u. or less. For the distance of transmission line that more than 400 km, it is necessary to combine the two suppression measures to achieve the same suppression effect.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128912031","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9784036
B. Parkash, T. Lie, Weihua Li, S. R. Tito
The increasing penetration of roof-top Photovoltaic (PV) panels in residential consumers has made electricity usage unpredictable. The challenge ahead for utility operators is to manage the operation and maintenance of a plant efficiently under the given circumstances. Therefore, the utility operators need to estimate the load so that there is no significant demand and supply mismatch. In the residential sector, the power consumption varies in every household, significantly depending upon the socio-demographical features, e.g., income, family size, age of resident etc. It is crucial to understand the relation of these socio-demographics on electricity consumption for its accurate forecasting. Besides, the smart meters in residential sector has made it possible for the household consumption to be known. A good estimation of load consumption at different levels is very important for efficient load management. Therefore, this paper focuses on developing a hierarchical structure by mining the electricity metered data to form customer clusters based on energy consumption patterns. To improve the forecasting performance, every cluster is associated with its distinct socio-demographical features. Based on the analytical results, it is evident that the hierarchical structure including socio-demographical features has the prospect to forecast load using a top-down approach, with an improvement in its mean absolute percent error by 9.04%, as compared to state-of-the-art bottom-up approaches.
{"title":"Hierarchical Structure Based Energy Consumption Forecasting in Top-Down Approach","authors":"B. Parkash, T. Lie, Weihua Li, S. R. Tito","doi":"10.1109/ACPEE53904.2022.9784036","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784036","url":null,"abstract":"The increasing penetration of roof-top Photovoltaic (PV) panels in residential consumers has made electricity usage unpredictable. The challenge ahead for utility operators is to manage the operation and maintenance of a plant efficiently under the given circumstances. Therefore, the utility operators need to estimate the load so that there is no significant demand and supply mismatch. In the residential sector, the power consumption varies in every household, significantly depending upon the socio-demographical features, e.g., income, family size, age of resident etc. It is crucial to understand the relation of these socio-demographics on electricity consumption for its accurate forecasting. Besides, the smart meters in residential sector has made it possible for the household consumption to be known. A good estimation of load consumption at different levels is very important for efficient load management. Therefore, this paper focuses on developing a hierarchical structure by mining the electricity metered data to form customer clusters based on energy consumption patterns. To improve the forecasting performance, every cluster is associated with its distinct socio-demographical features. Based on the analytical results, it is evident that the hierarchical structure including socio-demographical features has the prospect to forecast load using a top-down approach, with an improvement in its mean absolute percent error by 9.04%, as compared to state-of-the-art bottom-up approaches.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619754","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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