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电力系统负荷裕度的并行计算方法研究

中国电机工程学报 2019年第17期39卷 5105-5117页

作者：李雪刘烨姜涛陈厚合李国庆东北电力大学电气工程学院

为实现电力系统负荷裕度的快速、准确计算,该文以直接法为基础,提出一种基于CPU-GPU混合架构的电力系统负荷裕度并行求解方法。首先,根据电压稳定临界点处潮流雅可比矩阵奇异,且零特征值对应的特征向量不为0的特点,构造一组表征电压稳... 详细信息

为实现电力系统负荷裕度的快速、准确计算,该文以直接法为基础,提出一种基于CPU-GPU混合架构的电力系统负荷裕度并行求解方法。首先,根据电压稳定临界点处潮流雅可比矩阵奇异,且零特征值对应的特征向量不为0的特点,构造一组表征电压稳定临界点性质的非线性方程组;然后,在采用牛顿法求解该非线性方程组过程中,为减少计算量和计算复杂度,将修正方程降阶变换为4组同系数矩阵的低维线性方程组;在此基础上,采用雅可比预处理器和不完全LU分解预处理器(incomplete LU decomposition preconditioner,ILU)相结合的两阶段预处理方法对降维后的线性方程组的系数矩阵进行预处理,改善系数矩阵特征值分布,进而采用基于GPU加速的双共轭梯度稳定法(biconjugate gradient stabilized method,BICGSTAB)实现降维线性方程组求解的并行化,提高负荷裕度的计算效率;最后,通过多组测试系统算例对所提算法的准确性、有效性和快速性进行分析、验证。结果表明,文中所提算法可实现电力系统负荷裕度的快速、准确计算。

关键词：负荷裕度直接法 CPU-GPU混合架构预处理双共轭梯度稳定法

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基于相关增益的电压稳定关键注入区域识别

电工技术学报 2018年第4期33卷 739-749页

作者：李雪姜涛李国庆贾宏杰侯恺东北电力大学电气工程学院吉林132012 天津大学智能电网教育部重点实验室天津300072

提出一种识别影响电力系统电压稳定关键节点的关键注入区域新算法。计算系统各节点的电压稳定指标,确定系统电压稳定关键节点。以电压稳定关键节点为关键注入区域的主导节点,借助相关增益矩阵的相关性质,识别与系统中各电压稳定主导节... 详细信息

提出一种识别影响电力系统电压稳定关键节点的关键注入区域新算法。计算系统各节点的电压稳定指标,确定系统电压稳定关键节点。以电压稳定关键节点为关键注入区域的主导节点,借助相关增益矩阵的相关性质,识别与系统中各电压稳定主导节点存在强电压耦合关系的负荷节点和发电机节点,构建含电压稳定主导节点的电压稳定关键注入区域;针对所得注入区域,给出系统稳态和紧急情况下改善系统电压稳定性的相关控制策略。将所提方法应用于New England 39节点系统中,分析、对比结果验证了所提方法的正确性和有效性。最后将该方法应用于波兰电网中,验证了该方法的实用性。

关键词：电压稳定电压稳定指标相关增益电压耦合

Optimal Energy Flow and Nodal Energy Pricing in Carbon Emission-embedded Integrated Energy Systems

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CSEE Journal of Power and Energy Systems 2018年第2期4卷 179-187页

作者： Tao Jiang Hongwei Deng Linquan Bai Rufeng Zhang Xue Li Houhe Chen Department of Electrical Engineering Northeast Electric Power UniversityJilin 132012Jilin ProvinceChina ABB Inc. RaleighNC 27606USA

Green energy is driving the evolutions of energy industry and carbon emission is becoming an important concern.Considering the increasing couplings among various energy sectors,this paper investigates multi-period optimal energy flow and energy pricing in carbon-emission embedded integrated energy systems,including electricity,natural gas,and district heating networks.Firstly,an optimal scheduling model of integrated energy systems was proposed in this paper.The models of DC power flow,natural gas pipeline flow and heating network energy flow are presented and linearized for the optimization problem.Natural gas-fired generators and combined heat and power(CHP)units are modeled as coupling components of electricitygas and electricity-heating networks.Then,based on the optimal scheduling model,the locational marginal prices(LMP)for electricity,natural gas and heating network are determined.Moreover,the carbon emission caused by energy production has been taken into account in the optimal scheduling and energy pricing process.Finally,case studies on a combined network consisting of IEEE 39-bus system,Belgium 20-node natural gas system and 6-node heating system demonstrate the effectiveness of the proposed model and the impacts of carbon emission on system scheduling and LMP.

关键词： Carbon emission district heating LMP natural gas optimal energy flow

考虑源荷协调的风电并网系统旋转备用容量优化

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电力自动化设备 2017年第8期37卷 185-192页

作者：陈厚合王杨张儒峰郭放贾蒙孙东方东北电力大学电气工程学院吉林吉林132012 河北水利电力学院电力工程系河北沧州061001 北京京能未来燃气热电有限公司北京102200 国网浙江海宁市供电公司浙江嘉兴314400

风电的接入给电力系统带来更大不确定性,要求电网公司购买更多的旋转备用以维持电力系统的功率平衡和稳定,兼顾系统运行可靠性与经济性的旋转备用优化配置具有重要意义。考虑风电、需求侧互动资源,提出一种基于多场景的概率性旋转备用... 详细信息

风电的接入给电力系统带来更大不确定性,要求电网公司购买更多的旋转备用以维持电力系统的功率平衡和稳定,兼顾系统运行可靠性与经济性的旋转备用优化配置具有重要意义。考虑风电、需求侧互动资源,提出一种基于多场景的概率性旋转备用优化方法。该方法综合考虑风电预测误差、负荷波动及发电机非计划停运不确定性因素对旋转备用的需求,将弃风、可中断负荷分别作为部分负、正旋转备用融入发电日前调度计划,以购电总费用最低为目标函数建立日前机组组合优化模型,获得各时段旋转备用优化配置量。通过对IEEE 30节点、IEEE 118节点系统进行算例分析,验证了所提方法的正确性和有效性。

关键词：风电弃风可中断负荷旋转备用机组组合

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基于广域量测信息相关性的电力系统同调辨识

电工技术学报 2017年第1期32卷 1-11页

作者：姜涛贾宏杰李国庆陈厚合靳小龙东北电力大学电气工程学院吉林132012 智能电网教育部重点实验室(天津大学) 天津300072

提出一种基于广域量测信息相关性识别电力系统同调机群的新方法。针对同调发电机运动轨迹具有一致性或相似性的特征,借鉴基于电力系统模型确定同调机群的方向余弦法,引入广域量测信息相关性来辨识系统的同调机群,在计算系统中各发电机... 详细信息

提出一种基于广域量测信息相关性识别电力系统同调机群的新方法。针对同调发电机运动轨迹具有一致性或相似性的特征,借鉴基于电力系统模型确定同调机群的方向余弦法,引入广域量测信息相关性来辨识系统的同调机群,在计算系统中各发电机组间的相关系数基础上,提出了划分系统主导同调机群及主导同调机群内部子同调机群的相关同调判据。同时针对广域量测窗口长度对同调辨识结果的影响,进一步提出一种适用于辨识主导同调机群及主导同调机群内部子同调机群的实用鲁棒同调判据。最后将所提方法应用于典型两区域互联交直流系统和南方电网中,分析结果验证了该方法的有效性和可行性。

关键词：电力系统广域量测信息同调辨识相关系数

Load curve smoothing strategy based on unified state model of different demand side resources

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Journal of Modern Power Systems and Clean Energy 2018年第3期6卷 540-554页

作者： Mingshen WANG Yunfei MU Tao JIANG Hongjie JIA Xue LI Kai HOU Tong WANG Key Laboratory of Smart Grid of Ministry of Education Tianjin University Department of Electrical Engineering Northeast Electric Power University NARI Solar Energy Technologies Company Limited

Renewable energy based distributed generation(DG) has the potential to reach high penetration levels in the residential region. However, its integration at the demand side will cause rapid power fluctuations of the tieline in the residential region. The traditional generators are generally difficult to manage rapid power fluctuations due to their insufficient efficiency requirements and low responding speed. With an effective control strategy, the demand side resources(DSRs) including DGs, electric vehicles and thermostatically-controlled loads at thedemand side, are able to serve as the energy storage system to smooth the load fluctuations. However, it is a challenge to properly model different types of DSRs. To solve this problem, a unified state model is first developed to describe the characteristics of different DSRs. Then a load curve smoothing strategy is proposed to offset the load fluctuations of the tie-line of the residential region, where a control matrix deduced from the unified state model is introduced to manage the power outputs of different DSRs,considering the response order and the comfort levels.Finally, a residential region with households is used to validate the load curve smoothing strategy based on the unified state model, and the results show that the power fluctuation rate of the tie-line is significantly decreased.Meanwhile, comparative study results are shown to demonstrate the advantages of the unified state model based load curve smoothing strategy.

关键词： Demand side resource(DSR) Power fluctuation Distributed generation(DG) Electric vehicle(EV) Thermostatically-controlled load(TCL) Load curve smoothing

Day-ahead Scheduling of Multi-carrier Energy Systems with Multi-type Energy Storages and Wind Power

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CSEE Journal of Power and Energy Systems 2018年第3期4卷 283-292页

作者： Rufeng Zhang Tao Jiang Guoging Li Houhe Chen Xue Li Linquan Bai Hantao Cui Department of Electrical Engineering Northeast Electric Power UniversityJilinJL 132012 China ABB Power Consulting RaleighNC 27606USA Department of EECS The University of TennesseeKnoxvilleTN 37996USA.

The integration of large-scale wind power brings challenges to the operation of integrated energy systems(IES).In this paper,a day-ahead scheduling model for IES with wind power and multi-type energy storage is proposed in a scenario-based stochastic programming framework.The structure of the IES consists of electricity,natural gas,and heating networks which are all included in the model.Operational constraints for IES incorporating multi-type energy storage devices are also considered.The constraints of the electricity network,natural gas network and heating network are formulated,and non-linear constraints are linearized.The calculation method for the correlation of wind speed between wind farms based on historical data is proposed.Uncertainties of correlated wind power were represented by creating multiple representative scenarios with different probabilities,and this was done using the Latin hyper-cube sampling(LHS)method.The stochastic scheduling model is formulated as a mixed integer linear programming(MILP)problem with the objective function of minimizing the total expected operation cost.Numerical results on a modified PJM 5-bus electricity system with a seven-node natural gas system and a six-node heating system validate the proposed model.The results demonstrate that multi-type energy storage devices can help reduce wind power curtailments and improve the operational flexibility of IES.

关键词： Multicarrier energy systems multi-type energy storage stochastic day-ahead scheduling wind power

地震灾害下海岛综合能源系统韧性评估方法研究

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中国电机工程学报 2020年第17期40卷 5476-5492页

作者：李雪孙霆锴侯恺姜涛陈厚合李国庆贾宏杰东北电力大学电气工程学院吉林省吉林市132012 智能电网教育部重点实验室(天津大学) 天津市南开区300072

台风、地震等极端自然灾害下,海岛综合能源系统元件故障率将大幅度升高,高阶故障状态的数量将急剧增加,严重威胁到海岛能源供应的安全性和可靠性。为评估海岛综合能源系统遭受极端自然灾害后的供能恢复能力,首先建立海岛综合能源系统及... 详细信息

台风、地震等极端自然灾害下,海岛综合能源系统元件故障率将大幅度升高,高阶故障状态的数量将急剧增加,严重威胁到海岛能源供应的安全性和可靠性。为评估海岛综合能源系统遭受极端自然灾害后的供能恢复能力,首先建立海岛综合能源系统及其极端自然灾害下各元件故障率的数学模型;然后,从鲁棒性、快速性和冗余性3个方面构建海岛综合能源系统的韧性评估指标,根据评估结果确定系统的薄弱环节,提出相应的改进措施;最后,通过修改的巴厘岛综合能源系统对所提韧性评估指标进行分析、验证。结果表明,所提海岛综合能源系统韧性评估指标能够全面分析和评估极端自然灾害下海岛综合能源系统的供能能力和灾害后的供能恢复能力,并根据结果筛选海岛综合能源系统的薄弱环节,进行有针对性的韧性改善和提升。

关键词：极端自然灾害海岛综合能源系统韧性韧性评估

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基于正交子空间投影的电力系统同调机群辨识

电工技术学报 2018年第9期33卷 2077-2088页

作者：姜涛张明宇李雪陈厚合李国庆东北电力大学电气工程学院吉林132012

深入剖析了电力系统惯量中心坐标与子空间投影之间的关系,提出一种基于正交子空间投影(OSP)的电力系统同调机群辨识方法。首先,通过OSP获取将电力系统高维广域量测信息投影到各低维子空间的最佳投影方向向量;进一步,借助投影累积贡献率... 详细信息

深入剖析了电力系统惯量中心坐标与子空间投影之间的关系,提出一种基于正交子空间投影(OSP)的电力系统同调机群辨识方法。首先,通过OSP获取将电力系统高维广域量测信息投影到各低维子空间的最佳投影方向向量;进一步,借助投影累积贡献率确定最佳投影方向向量数量;然后,根据所确定的最佳投影方向向量划分电力系统的主导同调机群。所提方法计算简单,易于实现,完全基于广域量测信息进行同调分群,可避免模型参数对分群结果的影响,实现同调机群的在线辨识。将该方法应用到典型两区域互联系统和南方电网中进行分析、验证,结果表明,所提方法可准确、有效地从电力系统广域量测信息中快速辨识出系统的主导同调机群。

关键词：电力系统广域量测同调辨识正交子空间投影