2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)最新文献_第7页

Optimal Operation of Multi-energy Complementary Microgrid with Cooling, Thermal and Electricity Load 冷、热、电负荷下多能互补微电网的优化运行

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403220

Lingling Tan, Panbao Wang, W. Wang, Dianguo Xu

{"title":"Optimal Operation of Multi-energy Complementary Microgrid with Cooling, Thermal and Electricity Load","authors":"Lingling Tan, Panbao Wang, W. Wang, Dianguo Xu","doi":"10.1109/AEEES51875.2021.9403220","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403220","url":null,"abstract":"With the rapid development of microgrid (MG), the optimal operation of MG is one of the key technologies researched in the power field currently. The optimal operation is very important to the management of microgrid. This paper proposes a complementary microgrid that inputs solar energy and natural gas energy, supplying three types of loads: cooing, heat, electricity. Based on establishing a mathematical model for device in the microgrid, a model for optimizing operation of the complementary microgrid considering the different loads in different seasons is proposed. This model considers the multiple demands for three types of loads, and aims at the lowest total operation and maintenance cost of the multienergy complementary microgrid. During the operation, the optimization strategy of “Follow Electricity Load” is adopted to solve the mismatching of multiple loads. Finally, through the case study of the complementary microgrid based on the student dormitory, the energy consumption and total operation and maintenance cost are compared with separate supply system for cooling, thermal and electricity load, which verifies the feasibility and economy of the proposed model for optimizing operation.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517289","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}

引用次数: 0

Droop Control Design of MTDC Systems with Large-Scale Renewable Integration based on ANFIS 基于ANFIS的大规模可再生集成MTDC系统下垂控制设计

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403080

Haiying Dong, Kaiqi Liu, Miaohong Su, Weiwei Zou, Xiping Ma

{"title":"Droop Control Design of MTDC Systems with Large-Scale Renewable Integration based on ANFIS","authors":"Haiying Dong, Kaiqi Liu, Miaohong Su, Weiwei Zou, Xiping Ma","doi":"10.1109/AEEES51875.2021.9403080","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403080","url":null,"abstract":"Large-scale integration of renewable energy in highvoltage direct-current (HVDC) systems has resulted in significant technical and economic challenges. Maintaining DC voltage stability and power balance is one of the critical issues to achieve the stable operation of a multi-terminal HVDC (MTDC) system. This paper presents a control strategy based on adaptive network-based fuzzy inference system (ANFIS) for the MTDC system with large-scale renewable integration. The droop controller based on ANFIS is designed by the DC voltage deviation and active power margin of the converter stations. To improve the performance in the training process of ANFIS, particle swarm optimization (PSO) is utilized to optimize the prerequisite and conclusion parameters of ANFIS. Compared with the traditional droop control approach, the ANFIS-based controller can track the active power and DC voltage deviation of the converter stations in real time, allowing it to reduce the DC voltage deviation and reasonably distribute unbalanced power in the case of fluctuations in renewable energy power output. Simulations are conducted to compare with the traditional control method under different working conditions. The comparative simulation results show the effectiveness and robustness of the proposed control strategy.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415117","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}

引用次数: 2

Power-Voltage Coupling Characteristic Analysis of Power Grid Integrated with Distributed Energy Resources 分布式能源集成电网的功率-电压耦合特性分析

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403062

Jingjing Wang, L. Yao, Wei Cui, Zhen'an Zhang, Fangbing Liu, Peng Xu, B. Mao, Zhang Wen

{"title":"Power-Voltage Coupling Characteristic Analysis of Power Grid Integrated with Distributed Energy Resources","authors":"Jingjing Wang, L. Yao, Wei Cui, Zhen'an Zhang, Fangbing Liu, Peng Xu, B. Mao, Zhang Wen","doi":"10.1109/AEEES51875.2021.9403062","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403062","url":null,"abstract":"The increasing proportion of renewable energy generation resources in a power grid, has resulted in the generation capacity reduction of traditional synchronous units significantly, and in turn the insufficient regulation capability for reactive/voltage control of the power grid. It is particularly a case for the power grid where the power generation is mainly supplied by LCC-HVDC (Line Commutated Converter based High Voltage Direct Current) links. The distributed energy resources (DERs) can be alternative regulation reserves for voltage control of such kind of power grid. In this paper, steady-state voltage-dependent models of DERs i.e., renewable energy, energy storage, and flexible loads are established, and analyses the relation between the power of DERs and the voltage of grid-connected points. Based on these models, the voltage sensitivity matrix of the power grid is modified for power flow calculation. Then, the influence of DERs integration on grid voltage characteristics is analyzed through power flow calculation. Finally, the effects of different DERs and their penetration levels on the voltage regulation capacity of the power grid are verified by simulation.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416831","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}

引用次数: 0

Load Forecasting Method for Building Energy Systems Based On Modified Two-Layer LSTM 基于改进双层LSTM的建筑能源系统负荷预测方法

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403131

Yeyan Xu, L. Yao, Peng Xu, Wei Cui, Zhen'an Zhang, Fangbing Liu, B. Mao, Zhang Wen

{"title":"Load Forecasting Method for Building Energy Systems Based On Modified Two-Layer LSTM","authors":"Yeyan Xu, L. Yao, Peng Xu, Wei Cui, Zhen'an Zhang, Fangbing Liu, B. Mao, Zhang Wen","doi":"10.1109/AEEES51875.2021.9403131","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403131","url":null,"abstract":"Accurate load forecasting is the foundation of the building energy system to participate in smart grid scheduling. However, as diverse appliances are connected to the building, the load profile contains more different patterns, which brings in challenges for load forecasting research. What's more, since the active-reactive power coordination scheduling in smart grids has become more important, the reactive load is also needed so that additional attention must be paid to the reactive load forecasting. In this paper, a load forecasting method for building energy systems based on modified two-layer long short-term memory (LSTM) is proposed to deal with such problems. In the structure of the designed two-layer LSTM deep learning neural network, the lower layer LSTM network is trained to capture the temporal characteristic between active load and its influencing factors. The upper layer LSTM network is trained to learn the characteristic of reactive load, by feeding into the historical reactive loads in addition to the hidden information from the lower layer network, based on the physical concept that reactive power of each appliance is coupled with its active power. As a result, the joint forecasting of active and reactive loads can be achieved by the parallel training of the lower layer and upper layer LSTM networks. The simulation results verify that the proposed method show better accuracy compared to the single LSTM-based approach.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127228281","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}

引用次数: 5

An Emergency Control Strategy of Synchronous Condenser to Reduce the Risk of HVDC Continuous Commutation Failure 降低高压直流连续换相故障风险的同步冷凝器应急控制策略

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9402974

J. Lei, Yu Wang, Hongli Zhang, Xuelian Wu, Zhongqing Sun, Jianliang Gao

{"title":"An Emergency Control Strategy of Synchronous Condenser to Reduce the Risk of HVDC Continuous Commutation Failure","authors":"J. Lei, Yu Wang, Hongli Zhang, Xuelian Wu, Zhongqing Sun, Jianliang Gao","doi":"10.1109/AEEES51875.2021.9402974","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9402974","url":null,"abstract":"During the commutation failure and its dynamic recovery process, the voltage fluctuation caused by the frequent reactive power exchange between the HVDC system and the receiving-end AC system is one of the important reasons for the continuous commutation failure. Large-capacity synchronous condenser is equipped with strong transient voltage support capabilities, which is important means to reduce the risk of continuous commutation failure. This paper analyzes the effect of the conventional control method of the synchronous condenser to deal with the continuous commutation failure, then based on its response characteristics and HVDC recovery characteristics, an emergency control strategy of the synchronous condenser is proposed. Firstly, control the synchronous condenser to the strong excitation according to commutation state. Secondly, adopting the commutation failure prediction to maintain the strong excitation control. Finally, exiting the strong excitation control with a constant slope control. This method can improve the stability of the commutation voltage and reduce the risk of continuous commutation failure. At last, Based on JingSu DC of the East China Power Grid, the effectiveness of the emergency control strategy is verified with electromechanical transient simulation software PSDEdit.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116924516","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}

引用次数: 2

Simulation Research on Grounding Mode of Modular Multilevel Converter Based Medium Voltage DC Distribution System 基于模块化多电平变换器的中压直流配电系统接地方式仿真研究

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403197

Nali Fan, Bing Shen, Jing Huang, Jiandong Chen

引用次数: 1

Composite Load Equivalent Modeling of Traction Power Supply System 牵引供电系统复合载荷等效建模

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403048

C. Lu, Xinran Li, Shulin Chen

引用次数: 0

Short-term Load Combination Forecasting Model Based on Causality Mining of Influencing Factors 基于影响因素因果关系挖掘的短期负荷组合预测模型

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9402969

D. Songhuai, G. Tian, Su Juan, Yang Guang, Fang Shu

引用次数: 0

Multi-Port Balancing Controller for Flexible Interconnection of Transformer District 变压器区柔性互联的多端口平衡控制器

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403029

Wei Deng, W. Pei, Li Ding, Guoju Zhang, Wenxiang Xue

引用次数: 0

Optimal Scheduling of Integrated Energy System Considering Distributed Photovoltaic Power Fluctuation 考虑分布式光伏发电波动的综合能源系统优化调度

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403058

Kun Shi, Dezhi Li, Yuanfei Li, Yi Wu, L. Yao, S. Liao

{"title":"Optimal Scheduling of Integrated Energy System Considering Distributed Photovoltaic Power Fluctuation","authors":"Kun Shi, Dezhi Li, Yuanfei Li, Yi Wu, L. Yao, S. Liao","doi":"10.1109/AEEES51875.2021.9403058","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403058","url":null,"abstract":"With the continuous development of society, energy consumption and environmental pollution are becoming more and more serious, which brings great challenges to how to establish a reasonable and effective way of energy utilization. In recent years, the emergence of integrated energy system has brought a new solution to improve energy utilization, realize the coordination and complementarity of multiple energy sources, and absorb distributed photovoltaic. However, on the one hand, the power fluctuation caused by a large number of distributed photovoltaic access will affect the optimal scheduling of the integrated energy system, and how to suppress the fluctuation of distributed photovoltaic becomes a problem to be considered; on the other hand, the environmental problems can not be ignored. Aiming at the gas electricity regional integrated energy system with renewable energy, this paper establishes the coordinated optimization operation model of gas electricity regional integrated energy system, takes the total cost of the system as the objective function, and considers the power fluctuation cost and environmental cost in the objective function, combined with constraints, uses CPLEX solver to solve the problem. With the help of calculation examples, the economy and power fluctuation of the integrated energy system are compared and analyzed under different power fluctuation coefficients, and the optimal output of each unit is solved, so as to achieve the purpose of stabilizing the distributed photovoltaic fluctuation under the condition of meeting the economic requirements.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133266705","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}

引用次数: 1