Transmission line online monitoring is an important means to improve the power grid state perception ability and improve the power grid operation and maintenance level. The planning and deployment of on-line monitoring needs to take into account many constraints, such as considerable state, accessible communication and controllable cost. Therefore, this paper proposes a monitoring equipment deployment combination optimization model with the goal of minimizing the number of monitoring equipment deployment under the constraints of obstacle terrain constraints and the upper limit of line observation distance of meteorological disaster risk zones. At the same time, aiming at the communication networking problem of monitoring equipment, a heuristic rule for judging the traffic transmission of WSN + OPGW communication network is proposed, which is convenient to quickly estimate the satisfaction of wireless link bandwidth for the deployment of optical fiber separation lead-down point. The genetic algorithm is used to solve the combined optimization model, and the optimal deployment scheme of on-line monitoring which approximately meets the limit of line observation distance and communication constraints is obtained. The model proposed in this paper can provide auxiliary decision support for making scientific and reasonable deployment planning scheme of monitoring equipment.
{"title":"A Decision-making Method for the Deployment of on-Line Monitoring Devices for Transmission Lines","authors":"Yi Sun, Wenqing Ma, Bochuan Gu, Aijun Hou, Rui Lu, Xiaofu Xiong","doi":"10.1109/CEEPE55110.2022.9783412","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783412","url":null,"abstract":"Transmission line online monitoring is an important means to improve the power grid state perception ability and improve the power grid operation and maintenance level. The planning and deployment of on-line monitoring needs to take into account many constraints, such as considerable state, accessible communication and controllable cost. Therefore, this paper proposes a monitoring equipment deployment combination optimization model with the goal of minimizing the number of monitoring equipment deployment under the constraints of obstacle terrain constraints and the upper limit of line observation distance of meteorological disaster risk zones. At the same time, aiming at the communication networking problem of monitoring equipment, a heuristic rule for judging the traffic transmission of WSN + OPGW communication network is proposed, which is convenient to quickly estimate the satisfaction of wireless link bandwidth for the deployment of optical fiber separation lead-down point. The genetic algorithm is used to solve the combined optimization model, and the optimal deployment scheme of on-line monitoring which approximately meets the limit of line observation distance and communication constraints is obtained. The model proposed in this paper can provide auxiliary decision support for making scientific and reasonable deployment planning scheme of monitoring equipment.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116976972","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783296
Yu Zhang, Fan Yang, C. Zang, Zhou Zhou, Yun Zhao, Haibin Wan
The proportion of renewable energy has increased, and subsequent development depends on energy storage. The peak-to-valley power generation volume of renewable energy power generation varies greatly and is difficult to control. As the proportion of wind and solar power generation increases, the impact on the power grid will become greater, and the power grid has higher requirements in terms of transmission, distribution and regulation. The global penetration rate of renewable energy power generation is increasing, and the development of renewable energy has created a demand for energy storage. This paper compares the advantages and disadvantages of commonly used energy storage technologies, and focuses on the development path and latest progress of lithium-ion battery energy storage technologies. Finally, the article analyzes the application scenarios of energy storage in detail.
{"title":"Development Prospect of Energy Storage Technology and Application Under the Goal of Carbon Peaking and Carbon Neutrality","authors":"Yu Zhang, Fan Yang, C. Zang, Zhou Zhou, Yun Zhao, Haibin Wan","doi":"10.1109/CEEPE55110.2022.9783296","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783296","url":null,"abstract":"The proportion of renewable energy has increased, and subsequent development depends on energy storage. The peak-to-valley power generation volume of renewable energy power generation varies greatly and is difficult to control. As the proportion of wind and solar power generation increases, the impact on the power grid will become greater, and the power grid has higher requirements in terms of transmission, distribution and regulation. The global penetration rate of renewable energy power generation is increasing, and the development of renewable energy has created a demand for energy storage. This paper compares the advantages and disadvantages of commonly used energy storage technologies, and focuses on the development path and latest progress of lithium-ion battery energy storage technologies. Finally, the article analyzes the application scenarios of energy storage in detail.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124951617","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783130
Fengjun Li, Fuxing Yao, Haoyu Tan, Qian Sun, H. Yin, S. Miao
Tree-line contradiction refers to the conflict between planting trees in the power line erection space and ensuring the safe and stable operation of power lines. In severe convective weather, the tree-line contradiction is further intensified. Once the tree-barrier grounding fault is triggered, the power supply reliability of the rural distribution network will be seriously affected. Aiming at this, a zonal early warning mechanism for tree-line contradiction of rural distribution networks considering severe convective weather is proposed in this paper. Firstly, due to the imbalance of tree-barrier grounding fault records, the Synthetic Minority Oversampling Technique (SMOTE) algorithm is used to replace part of the majority class samples with minority class samples, and the data preprocessing is realized based on keeping the scale of the data set unchanged. Secondly, combined with six meteorological monitoring indexes of severe convective weather, a mapping model of severe convective weather and tree barrier grounding risk is established based on Extreme Learning Machine (ELM). Finally, the data of a rural distribution network in China is used for example analysis. The results show that the proposed model can effectively reflect the mapping relationship between severe convective weather and tree-barrier grounding faults, and accurately realize the zonal warning of tree-barrier grounding risk, which has good robustness and scalability.
{"title":"Tree-line Contradictory Risk Early Warning Technology of Rural Distribution Network Considering Severe Convective Weather","authors":"Fengjun Li, Fuxing Yao, Haoyu Tan, Qian Sun, H. Yin, S. Miao","doi":"10.1109/CEEPE55110.2022.9783130","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783130","url":null,"abstract":"Tree-line contradiction refers to the conflict between planting trees in the power line erection space and ensuring the safe and stable operation of power lines. In severe convective weather, the tree-line contradiction is further intensified. Once the tree-barrier grounding fault is triggered, the power supply reliability of the rural distribution network will be seriously affected. Aiming at this, a zonal early warning mechanism for tree-line contradiction of rural distribution networks considering severe convective weather is proposed in this paper. Firstly, due to the imbalance of tree-barrier grounding fault records, the Synthetic Minority Oversampling Technique (SMOTE) algorithm is used to replace part of the majority class samples with minority class samples, and the data preprocessing is realized based on keeping the scale of the data set unchanged. Secondly, combined with six meteorological monitoring indexes of severe convective weather, a mapping model of severe convective weather and tree barrier grounding risk is established based on Extreme Learning Machine (ELM). Finally, the data of a rural distribution network in China is used for example analysis. The results show that the proposed model can effectively reflect the mapping relationship between severe convective weather and tree-barrier grounding faults, and accurately realize the zonal warning of tree-barrier grounding risk, which has good robustness and scalability.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125572397","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783238
Dingrui Zhi, Jiachuan Shi, Rao Fu
As an important part of smart grid, non-intrusive load identification technology has broad application prospects. At present, most of the existing identification algorithms are highly advanced and require great computing power, which is not conducive to implementation on micro-hardware such as embedded systems. In this research, load core features were extracted from common electrical appliances to design a load identification algorithm, based on the characteristics of active power, reactive power and harmonic current at the moment of switching on and off, and in a short time after any action. Six electrical loads were tested and the result indicated that the algorithm proposed could recognize load operating status with relatively high accuracy.
{"title":"Algorithm Implementation of Non-Intrusive Load Monitoring Based on Load Core Feature Identification","authors":"Dingrui Zhi, Jiachuan Shi, Rao Fu","doi":"10.1109/CEEPE55110.2022.9783238","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783238","url":null,"abstract":"As an important part of smart grid, non-intrusive load identification technology has broad application prospects. At present, most of the existing identification algorithms are highly advanced and require great computing power, which is not conducive to implementation on micro-hardware such as embedded systems. In this research, load core features were extracted from common electrical appliances to design a load identification algorithm, based on the characteristics of active power, reactive power and harmonic current at the moment of switching on and off, and in a short time after any action. Six electrical loads were tested and the result indicated that the algorithm proposed could recognize load operating status with relatively high accuracy.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126921839","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}
During the operation of power system, it is necessary to evaluate the operation reliability of power system frequently. One of the key challenges is how to calculate the reliability indices during operation quickly. In this paper, a rapid evaluation method for operational reliability of power generation and transmission system based on DC power flow is proposed. Based on the reliability assessment results of the previous time, the injection power of each bus is used to modify the reliability indices of the previous time, then the new reliability evaluation results can be obtained. The validity, efficiency and limitation of the model are verified by evaluating the reliability of IEEE 30 system at three times.
{"title":"A Sensitivity Method for Operational Reliability Assessment of Composite Generation and Transmission System","authors":"Jing Zhang, Qianmao Zhang, Mingfeng Yu, Zheng Wei, Kailin Zhao, Yu Chen","doi":"10.1109/CEEPE55110.2022.9783303","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783303","url":null,"abstract":"During the operation of power system, it is necessary to evaluate the operation reliability of power system frequently. One of the key challenges is how to calculate the reliability indices during operation quickly. In this paper, a rapid evaluation method for operational reliability of power generation and transmission system based on DC power flow is proposed. Based on the reliability assessment results of the previous time, the injection power of each bus is used to modify the reliability indices of the previous time, then the new reliability evaluation results can be obtained. The validity, efficiency and limitation of the model are verified by evaluating the reliability of IEEE 30 system at three times.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126948987","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783119
Yunpeng Li, Haibo Zhang, Chunyang Fan, Xiaoyan Wu, Fan Wu
With the increasing penetration rate of renewable energy in power system, the cluster partition of large-scale Distributed Generations (DGs) can optimize dispatching control and operation monitoring of power grid, and ensure stable and efficient access of distributed power to power grid. The traditional cluster partition method based on single criterion cannot meet the needs of network planning and operation. In this paper, the structural requirements, functional requirements and flexible requirements are fully considered in the cluster division, and a comprehensive evaluation index system for cluster division is established. Then comprehensive evaluation method is proposed. The trapezoidal membership function is used for fuzzy evaluation, and the order relation method is used to determine the index weights. Finally, we use an example to show that the comprehensive effectiveness of this cluster partition index system of large-scale grid-connected DGs.
{"title":"Cluster Partition Index System and Evaluation Method of Large-scale Grid-Connected Distributed Generations","authors":"Yunpeng Li, Haibo Zhang, Chunyang Fan, Xiaoyan Wu, Fan Wu","doi":"10.1109/CEEPE55110.2022.9783119","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783119","url":null,"abstract":"With the increasing penetration rate of renewable energy in power system, the cluster partition of large-scale Distributed Generations (DGs) can optimize dispatching control and operation monitoring of power grid, and ensure stable and efficient access of distributed power to power grid. The traditional cluster partition method based on single criterion cannot meet the needs of network planning and operation. In this paper, the structural requirements, functional requirements and flexible requirements are fully considered in the cluster division, and a comprehensive evaluation index system for cluster division is established. Then comprehensive evaluation method is proposed. The trapezoidal membership function is used for fuzzy evaluation, and the order relation method is used to determine the index weights. Finally, we use an example to show that the comprehensive effectiveness of this cluster partition index system of large-scale grid-connected DGs.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117312655","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783126
S. Yang, Tusongjiang Kari, Su Bo, Ma Xiaojing, Yilihamu Yaermaimaiti, Xiwang Abuduwayiti
To promote fault diagnosis accuracy and efficiency of high voltage circuit breaker, a novel fault diagnosis approaches based on kernel principal component analysis (KPCA) and probabilistic neural network (PNN) is proposed in this paper. Firstly, eight critical features are extracted from tripping/closing coil current curve. Then, KPCA is applied to eliminate redundancy among features, and small scale, more informative and mutual orthogonal components are extracted. Finally, crucial principal components are used to establish inputs and the novel fault diagnosis based on PNN is proposed and studied. The results obtained by testing practical samples reveal that the proposed KPCA-PNN fault diagnosis model can reduce redundancy and improve fault diagnosis efficiency and accuracy effectively, which has good application prospect.
{"title":"Fault Diagnosis of High Voltage Circuit Breaker Based on KPCA and PNN","authors":"S. Yang, Tusongjiang Kari, Su Bo, Ma Xiaojing, Yilihamu Yaermaimaiti, Xiwang Abuduwayiti","doi":"10.1109/CEEPE55110.2022.9783126","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783126","url":null,"abstract":"To promote fault diagnosis accuracy and efficiency of high voltage circuit breaker, a novel fault diagnosis approaches based on kernel principal component analysis (KPCA) and probabilistic neural network (PNN) is proposed in this paper. Firstly, eight critical features are extracted from tripping/closing coil current curve. Then, KPCA is applied to eliminate redundancy among features, and small scale, more informative and mutual orthogonal components are extracted. Finally, crucial principal components are used to establish inputs and the novel fault diagnosis based on PNN is proposed and studied. The results obtained by testing practical samples reveal that the proposed KPCA-PNN fault diagnosis model can reduce redundancy and improve fault diagnosis efficiency and accuracy effectively, which has good application prospect.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128645838","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783340
Liangchun Tang, Minyou Chen, Qiang Li, Bo Li, Wenfa Kang
As the proportion of renewable energy in the power system continues to increase, energy storage is widely used in the grid to absorb renewable energy. However, the traditional energy storage operation strategy is less efficient. To improve the utilization rate of energy storage, this paper proposes a method for the energy storage system (ESS) to participate in the joint operation of multiple application scenarios after participating in the grid dispatching and establishes an optimal operation model for day-ahead and intra-day. In the day-ahead stage, dispatching plan with the goal of minimizing power grid operation cost is made, and the ESS’s output plan is made based on the electricity price while considering the aging cost of battery; Then, the remaining capacity of ESS participates in bidding in the energy market, frequency regulation market, and reserve market; In the intra-day stage, dispatching is based on the Model Predictive Control (MPC) algorithm considering the constraint of the ESS’s day-ahead bid value. In this model, the market bid value of ESS is more effectively used compared with the classic MPC algorithm. Case studies are carried out on the IEEE33 bus system, the result verifies the economy and effectiveness of the proposed model.
{"title":"Rolling Optimization Operation Strategy of Energy Storage System Considering Multiple Application Scenarios","authors":"Liangchun Tang, Minyou Chen, Qiang Li, Bo Li, Wenfa Kang","doi":"10.1109/CEEPE55110.2022.9783340","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783340","url":null,"abstract":"As the proportion of renewable energy in the power system continues to increase, energy storage is widely used in the grid to absorb renewable energy. However, the traditional energy storage operation strategy is less efficient. To improve the utilization rate of energy storage, this paper proposes a method for the energy storage system (ESS) to participate in the joint operation of multiple application scenarios after participating in the grid dispatching and establishes an optimal operation model for day-ahead and intra-day. In the day-ahead stage, dispatching plan with the goal of minimizing power grid operation cost is made, and the ESS’s output plan is made based on the electricity price while considering the aging cost of battery; Then, the remaining capacity of ESS participates in bidding in the energy market, frequency regulation market, and reserve market; In the intra-day stage, dispatching is based on the Model Predictive Control (MPC) algorithm considering the constraint of the ESS’s day-ahead bid value. In this model, the market bid value of ESS is more effectively used compared with the classic MPC algorithm. Case studies are carried out on the IEEE33 bus system, the result verifies the economy and effectiveness of the proposed model.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129045537","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783295
Yang Hu, F. Xue, Wei Li, Yening Lai, Fusuo Liu, Zhaohui Qie
The power system is the center of the energy transition. The stable operation and failure prevention of UHV power grids are increasing with increasing capacity and scale. Guided by the main contradiction of the energy transition, focuses on the grid structural issues in the construction. It explains that the AC&DC parallel grid structure comes from the inverse distribution of energy and load, and analyzes the transient stability and control characteristics of the AC&DC parallel grid. Faced with the process of power system transition from AC grid to AC&DC hybrid grid, it is necessary to explore the basic principles of effective emergency control and corrective control coordination Finally, it puts forward suggestions on the development and risk prevention and control of the new power system.
{"title":"Discussion on the Key Points of Control in AC&DC Parallel Structure Power Grid Based on the Research of Stability Characteristics","authors":"Yang Hu, F. Xue, Wei Li, Yening Lai, Fusuo Liu, Zhaohui Qie","doi":"10.1109/CEEPE55110.2022.9783295","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783295","url":null,"abstract":"The power system is the center of the energy transition. The stable operation and failure prevention of UHV power grids are increasing with increasing capacity and scale. Guided by the main contradiction of the energy transition, focuses on the grid structural issues in the construction. It explains that the AC&DC parallel grid structure comes from the inverse distribution of energy and load, and analyzes the transient stability and control characteristics of the AC&DC parallel grid. Faced with the process of power system transition from AC grid to AC&DC hybrid grid, it is necessary to explore the basic principles of effective emergency control and corrective control coordination Finally, it puts forward suggestions on the development and risk prevention and control of the new power system.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124696888","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}
With the rapid growth of power load demand and the increasing penetration of renewable energy, the investment scale of incremental distribution network (IDN) is gradually expanding. In order to hedge the risk of investment efficiently, the evaluation system for investment benefits of IDN project is essential to be explored for evaluating complicated IDN investment. Thus, in this study, we propose a new evaluation system of investment benefit for IDN. In the proposed evaluation system, we construct the evaluation index system of investment benefit by considering the three main typical components of the investment benefit, which comprises of economic, social and ecological benefits, and use the TOPSIS integrated with entropy weight method to determine the index weights of the criteria layer and the index layer, set the evaluation index weights and evaluation principles and establish the investment benefit evaluation model of the IDN. Case analysis is used to verify the effectiveness of the proposed evaluation method.
{"title":"Construction and Application of the Evaluation System for Investment Benefit of Incremental Distribution Network","authors":"Xiaobin Gao, Ming Chen, Shiyan Mei, Xiaowen Wang, Xinwei Shen, Yuting Zeng","doi":"10.1109/CEEPE55110.2022.9783250","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783250","url":null,"abstract":"With the rapid growth of power load demand and the increasing penetration of renewable energy, the investment scale of incremental distribution network (IDN) is gradually expanding. In order to hedge the risk of investment efficiently, the evaluation system for investment benefits of IDN project is essential to be explored for evaluating complicated IDN investment. Thus, in this study, we propose a new evaluation system of investment benefit for IDN. In the proposed evaluation system, we construct the evaluation index system of investment benefit by considering the three main typical components of the investment benefit, which comprises of economic, social and ecological benefits, and use the TOPSIS integrated with entropy weight method to determine the index weights of the criteria layer and the index layer, set the evaluation index weights and evaluation principles and establish the investment benefit evaluation model of the IDN. Case analysis is used to verify the effectiveness of the proposed evaluation method.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124699744","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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