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2022 Asian Conference on Frontiers of Power and Energy (ACFPE)最新文献

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Optimal Scheduling Strategy of Park Microgrid based on Blockchain Technology 基于区块链技术的园区微电网最优调度策略
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952346
Xi Wang, Wei Wang, Xuna Liu, Yang Liu, Linyan Zhao, Yipeng Chen, Huaqiang Li
In traditional schedule, there are problems such as large forecast errors and low degree of decentralization. As the basic distributed database technology, the blockchain technology can improve the accuracy of schedule and the transparency of data if it's introduced into the traditional schedule. Therefore, based on the blockchain technology, a park microgrid scheduling model is established in this paper, where the minimum operating cost is the objective function, the power balance, the output limitation, the climbing limitation and the battery constraint are the constraints. Mixed integer programming algorithm and the GUROBI solver are used to solve the proposed model, which can effectively reduce the operating cost of the park microgrid and improve the transparency of the scheduling data. Finally, a typical park microgrid case is used to prove the feasibility of the model and solution.
传统调度存在预测误差大、去中心化程度低等问题。区块链技术作为基础的分布式数据库技术,如果将其引入到传统的调度中,可以提高调度的准确性和数据的透明度。因此,本文基于区块链技术,以运行成本最小为目标函数,以功率平衡、输出限制、爬升限制和电池约束为约束条件,建立了园区微电网调度模型。采用混合整数规划算法和GUROBI求解器对模型进行求解,有效降低了园区微电网的运行成本,提高了调度数据的透明度。最后,通过一个典型的园区微电网案例,验证了模型和解决方案的可行性。
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引用次数: 0
Flexibility evaluation index system and calculation method of active distribution network with high proportion of renewable energy 高比例可再生能源主动式配电网柔性评价指标体系及计算方法
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952278
Zhijie Liu, Shouzhen Zhu, Peng Zhang, Zhenhai Zhang
With the promotion of energy reform, the development scale of renewable energy is ahead of schedule, and the proportion of renewable energy in the active distribution network is gradually rising. However, due to the uncertainty of its output, it brings many difficulties to the operation of the distribution network, such as the reduction of flexibility. Therefore, it is necessary to quantify the impact of uncertainty on flexibility. This paper focuses on the flexibility evaluation of the active distribution network. Different from the traditional distribution network, its flexibility mainly comes from the renewable energy on the source side, the multi load on the load side and the grid reconstruction on the grid side. Therefore, from the three aspects of the source network load, the evaluation index and calculation formula of the flexibility of the active distribution network are proposed, and then the flexibility evaluation system is established. Finally, through the simulation analysis of ieee33 node distribution network system, the results show that the proposed flexibility evaluation system can realize the quantitative evaluation of distribution network in different scenarios.
随着能源改革的推进,可再生能源发展规模提前,可再生能源在主动式配电网中的占比逐步上升。但由于其输出的不确定性,给配电网的运行带来了灵活性降低等诸多困难。因此,有必要量化不确定性对灵活性的影响。本文主要研究有源配电网的柔性评价问题。与传统配电网不同,其灵活性主要来自于源侧的可再生能源、负载侧的多负荷和电网侧的电网改造。因此,从源网负荷三个方面出发,提出了主动配电网柔性的评价指标和计算公式,建立了主动配电网柔性评价体系。最后,通过对ieee33节点配电网系统的仿真分析,结果表明所提出的柔性评价体系能够实现对不同场景下配电网的定量化评价。
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引用次数: 0
Research on Quantitative Risk Assessment and Prevention and Control Measure of Subsynchronous Oscillation 次同步振荡定量风险评估及防控措施研究
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952175
Song-hua He, Feng Luo, Yingjie Chen, Naishuang Li, Weilun Ni
With the wide access of wind power and other renewable energy, subsynchronous oscillation accidents have occurred many times in power grid. Subsynchronous oscillation has a bad influence on the secure operation of power system. It has become one of the major factors restricting consumption of renewable energy. In order to suppress the occurrence of subsynchronous oscillation, the mathematical model of direct-drive permanent magnet synchronous generator (PMSG) is established, and then its impedance formula is derived. Based on impedance analysis, a quantitative risk assessment index for subsynchronous oscillation is proposed. On this basis, according to the sensitivity of control system's parameters to the quantitative risk assessment index, a preventive control measure to suppress the occurrence of subsynchronous oscillation is proposed. The feasibility of proposed control measure is verified.
随着风电等可再生能源的广泛接入,电网多次发生次同步振荡事故。次同步振荡严重影响电力系统的安全运行。它已成为制约可再生能源消费的主要因素之一。为了抑制次同步振荡的发生,建立了直接驱动永磁同步发电机的数学模型,推导了其阻抗公式。在阻抗分析的基础上,提出了一种次同步振荡定量风险评价指标。在此基础上,根据控制系统参数对定量风险评估指标的敏感性,提出了抑制次同步振荡发生的预防性控制措施。验证了所提控制措施的可行性。
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引用次数: 0
Opportunity cost analysis of renewable energy participation in AGC frequency regulation 可再生能源参与AGC频率调节的机会成本分析
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952213
Zhenyi Wang, Hua Ye, Bin Hu, Tianrui Xu, Ming Qu, Xinran He, Tao Ding
As the penetration of renewable energy sources (RESs) in the grid increases, the requirements for Automatic Generation Control (AGC) frequency regulation and reserve services should also be adjusted. RESs have great potential to provide auxiliary services, however, RESs also face the problem of revenue trade-off between participation in the electricity energy market and the auxiliary frequency regulation service market. Opportunity cost can help decision-makers make a reasonable allocation of resources and maximize the theoretical benefits. In this context, an opportunity cost calculation model for RESs in delivering AGC service is provided in this paper. The calculation process of the opportunity cost for RESs to provide AGC auxiliary services is proposed in this paper. To analysis the opportunity cost of the RES plants providing frequency adjustment service, the modified IEEE 6-bus system with two thermal power plants, two wind power plants, and one photovoltaic power plant, is adopted in this paper. Firstly, the clearing results of the electric market in the system is adopted. Then, the opportunity cost of the RESs with AGC is calculated. Finally, by comparing the opportunity cost per unit of capacity of frequency adjustment service and the AGC compensation price in the North Grid of China and the Northwest Grid of China, the optimal decision of AGC participation factor $a$ can be obtained. Case studies reveal that the marginal opportunity cost of AGC capacity for RESs increase with the growth of the AGC capacity. As a result, total revenue of the RESs reaches the maximum value at an appropriate ratio of AGC capacity, and this ratio is the optimal decision.
随着可再生能源在电网中渗透率的提高,对自动发电控制(AGC)频率调节和备用服务的要求也应进行调整。电站具有提供辅助服务的巨大潜力,但电站也面临着参与电力能源市场与辅助调频服务市场之间的收益权衡问题。机会成本可以帮助决策者合理配置资源,实现理论效益最大化。在此背景下,本文给出了RESs提供AGC服务的机会成本计算模型。本文提出了RESs提供AGC辅助服务的机会成本的计算过程。为了分析可再生能源电厂提供调频服务的机会成本,本文采用改进的IEEE 6总线系统,其中包括2个火电厂、2个风力发电厂和1个光伏发电厂。首先,采用系统中电力市场的清算结果。然后,计算了具有AGC的RESs的机会成本。最后,通过比较北网和西北网的单位容量调频服务机会成本和AGC补偿价格,得出AGC参与因子$a$的最优决策。实例研究表明,随着AGC容量的增加,RESs的AGC容量边际机会成本增加。因此,在适当的AGC容量比例下,RESs的总收入达到最大值,该比例为最优决策。
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引用次数: 0
Design of inter provincial pumped storage trading market in Yangtze River Delta region of China 中国长三角地区跨省抽水蓄能交易市场设计
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952314
Min Wu, Xiaogang Li, Xinhang Shen, B. Zou
Under the framework of the two-level market, the provincial market has perfect transaction market such as forward contract and spot market, but There is only forward contract market for inter provincial power transactions Shanghai and Zhejiang Province in East China face the risk that the regulation range of the generator in the province is less than the load variation range due to the high proportion of power supply from outside the province. In order to mitigate this kind of risk, this paper proposes a kind of pumped storage transaction, which uses the transaction of pumped storage right to realize the mutual support of the adjustable capacity of the generating units in each province. Based on the analysis of the use right cost of pumped storage units under the day ahead market condition, this paper gives the principle of market transaction and the basic market rules. The significance of the proposed method is explained by using market data.
在两级市场框架下,省际市场有远期合约和现货市场等完善的交易市场,但华东地区的上海、浙江两省间电力交易仅存在远期合约市场,由于省外供电比例较高,面临本省发电机组调节范围小于负荷变化范围的风险。为了缓解这一风险,本文提出了一种抽水蓄能交易,利用抽水蓄能权交易实现各省发电机组可调容量的相互支持。在对日前市场条件下抽水蓄能机组使用权成本进行分析的基础上,给出了市场交易的原则和基本的市场规律。用市场数据说明了该方法的意义。
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引用次数: 0
Research on Optimal Planning of Distribution Network with Multi-microgrids Based on the Improved Minimum Spanning Tree Algorithm 基于改进最小生成树算法的多微电网配电网优化规划研究
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952235
Qiang Chen, Wenbin Hao, Peng Zeng
Aiming at the planning problem caused by microgrid access to the distribution network, an optimization planning method for a distribution network integrated with microgrids based on an improved minimum spanning tree (MST) algorithm is proposed to improve the reliability and economy of the distribution network. Firstly, we analyzed the microgrid's internal characteristics, and the microgrid's external equivalent model was obtained. Based on this, the substation location and load zoning problem in the planning stage I is optimally solved based on the minimum load moment principle. In planning stage II, a multi-objective grid planning model is developed on the basis of the first stage, taking into account the economy and power supply reliability. The model is optimally solved based on the improved MST algorithm. The results of the distribution network planning without and with microgrids are compared, and the impact of the inclusion of microgrids on the line investment, network losses, and supply reliability of the distribution network is analyzed. The example analysis results indicate that the inclusion of microgrids can effectively reduce the substation's construction investment, improve the substation's power supply level, and improve the economy and reliability of the grid planning scheme. It provides a reference value for subsequent planners to do proper planning.
针对微电网接入配电网带来的规划问题,提出了一种基于改进最小生成树(MST)算法的微电网集成配电网优化规划方法,以提高配电网的可靠性和经济性。首先,分析了微电网的内部特性,得到了微电网的外部等效模型。在此基础上,根据最小负荷矩原则,优化解决规划阶段1的变电站选址和负荷分区问题。规划第二阶段,在第一阶段的基础上,考虑经济性和供电可靠性,建立了多目标电网规划模型。基于改进的MST算法对模型进行了优化求解。对比了无微电网和有微电网的配电网规划结果,分析了微电网纳入对配电网线路投资、网损和供电可靠性的影响。算例分析结果表明,微电网的纳入可以有效降低变电站的建设投资,提高变电站的供电水平,提高电网规划方案的经济性和可靠性。为后续规划人员做好规划工作提供参考价值。
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引用次数: 0
Optimization Clearing Model of Regional Integrated Electricity Market Transaction in the Dual Track System of Planning and Market 规划与市场双轨制下区域一体化电力市场交易的优化结算模型
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952345
Jianhua Li, Haoting Qin, Yunxia Wu, Su Zhang, Hao Fu, Tianzhi Li, Yue Hu
The inter provincial and intra provincial transaction clearing model in the dual track system of planning and market is the key core of the construction of the national unified power market. Complementarity of Sichuan and Chongqing in power is analyzed in time scale. Based on the complementary characteristics of source and load and the constraint of inter provincial communication channel, considering the available transmission capacity of transmission lines in the inter provincial planned electricity quantity, the power supply and demand matching model of dynamic transformation between the generator and the user is established. As the market factors, the dynamic adjustment mechanism of market transmission price under the win-win cooperation mode of power generation, transmission and utilization is discussed in this paper. Furthermore, the clearing model of inter provincial power market transaction is proposed with taking into account the interests of generation, transmission and consumption. The transaction method of regional integrated electricity market is obtained in the dual track system of planning and market. Finally, through the simulation of an example, this method is effectively adapted to the dual track market mode, the utilization rate of inter provincial communication channels is improved, and the optimal allocation of power resources is realized.
规划与市场双轨制下的省际、省内交易清算模式是建设全国统一电力市场的关键核心。从时间尺度上分析了川渝两地的电力互补性。基于源负荷互补特性和省际通信信道约束,考虑省际规划电量下输电线路的可用输电容量,建立了发电机与用户动态转换的电力供需匹配模型。作为市场因素,本文探讨了发电、输电、利用三方合作共赢模式下市场输电价格的动态调整机制。在此基础上,提出了考虑发电、输电和用电三方利益的跨省电力市场交易清算模型。在规划与市场双轨制下,提出了区域综合电力市场的交易方法。最后,通过实例仿真,该方法有效适应了双轨市场模式,提高了省际通信信道的利用率,实现了电力资源的最优配置。
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引用次数: 1
A New Differential Protection for Transmission Lines Connecting Renewable Energy Sources to MMC-HVDC Converter Stations Based on Dynamic Time Warping Algorithm 基于动态时间规整算法的MMC-HVDC换流站可再生能源输电线路差动保护
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952282
Xiang Ren, Tianxiao Huang, Guangming Xin, Xiaofei Wang, Lu Zhang, Miao Liu
There are electronic controlled power sources on both sides of the transmission line, which connects the renewable energy sources (RES) station and the modular multilevel converter high-voltage DC (MMC-HVDC) converter station. The control strategy affects the fault characteristics of the short-circuit current, making it amplitude-limited and phase-angle-controlled. The sensitivity performance of the original line differential protection decreases, and the adaptability of the protection needs to be further studied. Aiming at this problem, the fault characteristics of short-circuit current fed from the RES station and the MMC-HVDC converter station are both analyzed. And a differential protection method based on dynamic time warping is proposed. The distance matrix is constructed by calculating the Euclidean distance of the currents. Then calculate the shortest cumulative distance which is used to characterize the waveform similarity of the current and construct protection criteria based on waveform similarity. Through simulation and calculation, the effectiveness of the proposed protection method is verified, showing that the protection algorithm can sensitively identify internal and external faults.
输电线路两侧有电控电源,连接可再生能源(RES)站和模块化多级变换器高压直流(MMC-HVDC)换流站。该控制策略影响了短路电流的故障特性,使其具有限幅、相角控制的特点。原线路差动保护的灵敏度性能下降,保护的适应性有待进一步研究。针对这一问题,分析了RES站和MMC-HVDC换流站馈电短路电流的故障特征。提出了一种基于动态时间规整的差动保护方法。距离矩阵是通过计算电流的欧氏距离来构造的。然后计算出用于表征电流波形相似度的最短累积距离,并基于波形相似度构建保护判据。通过仿真和计算,验证了所提保护方法的有效性,表明该保护算法能够灵敏地识别内部和外部故障。
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引用次数: 1
Power Grid transient stability prediction method based on improved CNN under big data background 大数据背景下基于改进CNN的电网暂态稳定预测方法
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952211
J. Zhou, Mukun Li, Liyang Du, Zihan Xi
In order to cure the crux of low accuracy of traditional PG transient stability prediction (PGTSP) methods, a PGTSP method based on improved Convolutional Neural Network(CNN) is proposed under big data. First, the theoretical framework of state assessment of Power Grid (PG) is constructed according to analysis of historical big data in PG. Based on data source, big data classification, big data cleaning and processing, PG status assessment is realized. Then, by selecting a variety of PG traits as the multi-input trait space of CNN model. By using multi-channel idea to independently analyze and fuse various features, a multi-channel multi-trait fusion CNN(MC-MF-FCNN) model is constructed and the accurate prediction of grid transient stability is achieved. Finally, the root mean square error(RMSE), false alarm rate, false alarm rate and accuracy rate of the proposed algorithm and the other two algorithms under the same conditions are compared and analyzed through simulation experiments. The results show that RMSE, false alarm rate and miss alarm rate of the proposed algorithm are the smallest and the accuracy is the highest. The highest accuracy rate within 9 cycles after the fault is 96.83 %, and the minimum RMSE, missed alarm rate and false alarm rate are 0.196, 2.15% and 1.32%, respectively. The performance is better than the other two comparison algorithms.
针对传统PG暂态稳定性预测(PGTSP)方法精度低的问题,提出了一种基于改进卷积神经网络(CNN)的大数据下PGTSP预测方法。首先,通过对电网历史大数据的分析,构建了电网状态评估的理论框架,基于数据源、大数据分类、大数据清洗与处理,实现了电网状态评估。然后,通过选择多种PG特征作为CNN模型的多输入特征空间。利用多通道思想独立分析和融合各种特征,构建了多通道多特征融合CNN(MC-MF-FCNN)模型,实现了对电网暂态稳定的准确预测。最后,通过仿真实验对本文算法与其他两种算法在相同条件下的均方根误差(RMSE)、虚警率、虚警率和准确率进行了比较分析。结果表明,该算法的RMSE、虚警率和漏警率最小,准确率最高。故障发生后9个周期内的最高准确率为96.83%,最小RMSE、漏警率和虚警率分别为0.196、2.15%和1.32%。性能优于其他两种比较算法。
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引用次数: 0
Optimal scheduling of power consumption on the user side with natural gas differential pressure generation 用户侧用电与天然气差压发电的优化调度
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952234
Qi Mei, Fuping Wang, Qiang Zhang, Shu Shi, Yi Luo, Hanzheng Xie
In order to solve the problem of recovery of differential pressure energy in the process of natural gas production and improve its energy utilization rate, a user-side electricity network structure taking into account the differential pressure power generation device of natural gas is proposed, and an optimal scheduling model considering differential pressure power generation device, energy storage system and adjustable load coordination is constructed. Based on the proposed electricity network structure and optimal scheduling model, the model is programmed by Cplex mixed integer linear programming solver. Finally, taking the specific data of a natural gas production plant as the example parameter, the feasibility and economy of the optimal scheduling model are verified by simulation.
为了解决天然气生产过程中差压能的回收问题,提高其能源利用率,提出了考虑天然气差压发电装置的用户侧电网结构,构建了考虑差压发电装置、储能系统和可调负荷协调的最优调度模型。基于所提出的电网结构和最优调度模型,采用复杂混合整数线性规划求解器对模型进行了规划。最后,以某天然气生产装置的具体数据为例参数,通过仿真验证了优化调度模型的可行性和经济性。
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引用次数: 0
期刊
2022 Asian Conference on Frontiers of Power and Energy (ACFPE)
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