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Distributed Robust Optimal Dispatch for the Microgrid Considering Output Correlation between Wind and Photovoltaic

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Energy Engineering 2023年第8期120卷 1775-1801页

作者： Ming Li Cairen Furifu Chengyang Ge Yunping Zheng shunfu lin Ronghui Liu New Power SystemTechnology Research Institute Electric Power Research InstituteThe Electric Power Research Institute of State Grid Xinjiang Electric Power Co.Ltd.Urumqi830000China The College of Electrical Engineering Shanghai University of Electric PowerShanghai200090China

As an effective carrier of integrated clean energy,the microgrid has attracted wide *** randomness of renewable energies such as wind and solar power output brings a significant cost and impact on the economics and reliability of *** paper proposes an optimization scheme based on the distributionally robust optimization(DRO)model for a microgrid considering solar-wind ***,scenarios of wind and solar power output scenarios are generated based on non-parametric kernel density estimation and the Frank-Copula function;then the generated scenario results are reduced by K-means clustering;finally,the probability confidence interval of scenario distribution is constrained by 1-norm and∞-*** model is solved by a column-and-constraint generation *** studies are conducted on a microgrid system in Jiangsu,China and the obtained scheduling solution turned out to be superior under wind and solar power uncertainties,which verifies the effectiveness of the proposed DRO model.

关键词： Microgrid uncertainty distributionally robust optimization Frank-Copula function scenario generation and reduction

Inter-Provincial Transaction Model in Two-Level ElectricityMarket Considering Carbon Emission and Consumption Responsibility Weights

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Energy Engineering 2023年第10期120卷 2393-2416页

作者： Chunlei Jiao HongyanHao Ming Li Rifucairen Fu Yichun Liu shunfu lin Ronghui Liu Electric New Power System Technology Research Institute The Electric Power Research Institute of State Grid Xinjiang Electric Power Co.Ltd.Urumqi830000China Power Dispatch Control Center State Grid Xinjiang Electric Power Co.Ltd.Urumqi830063China College of Electrical Engineering Shanghai University of Electric PowerShanghai200090China

In the context of the joint operation of China’s intra-provincial markets and inter-provincial trading,how to meet the load demand and energy consumption using inter-provincial renewable energy trading is a key *** combined operation of intra-provincial and inter-provincial markets provides a new way for provincial power companies to optimize and clear the intra-provincial power market,complete the intra-provincial consumption responsibility weight index,and consume renewable energy across provinces and *** paper combines power generation and consumption within the province,uses inter-provincial renewable energy trading tomeet the load demand within the province and completes the index of intra-provincial consumption responsibility *** intra-provincial market trading and inter-provincial market clearing are respectively taken as the upper and lower levels of the *** the two-level electricity market operation framework,the upper-level model aims to minimize the expected total operating cost within the province considering the carbon emission cost and the weight of the consumption responsibility,while the lower-level model aims to minimize the inter-provincial renewable energy purchasing ***,the influence of inter-provincial transaction mechanism,risk aversion coefficient,voucher price,and responsibility weight on operating cost is *** is used to verify that the proposed model can meet the requirements of the provincial load power consumption and the consumption responsibility weight index,and promote the consumption of renewable energy.

关键词： Consumption responsibility weights electricity market carbon emission transactions between provinces

Two-Stage Optimal Scheduling of Community Integrated Energy System

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Energy Engineering 2024年第2期121卷 405-424页

作者： Ming Li Rifucairen Fu Tuerhong Yaxiaer Yunping Zheng Abiao Huang Ronghui Liu shunfu lin New Power System Technology Research Institute The Electric Power Research Institute of State Grid Xinjiang Electric Power Co.Ltd.Urumqi830000China The College of Electrical Engineering Shanghai University of Electric PowerShanghai200090China

From the perspective of a community energy operator,a two-stage optimal scheduling model of a community integrated energy system is proposed by integrating information on controllable *** day-ahead scheduling analyzes whether various controllable loads participate in the optimization and investigates the impact of their responses on the operating economy of the community integrated energy system(IES)before and after;the intra-day scheduling proposes a two-stage rolling optimization model based on the day-ahead scheduling scheme,taking into account the fluctuation of wind turbine output and load within a short period of time and according to the different response rates of heat and cooling power,and solves the adjusted output of each controllable *** simulation results show that the optimal scheduling of controllable loads effectively reduces the comprehensive operating costs of community IES;the two-stage optimal scheduling model can meet the energy demand of customers while effectively and timely suppressing the random fluctuations on both sides of the source and load during the intra-day stage,realizing the economic and smooth operation of IES.

关键词： Integrated energy system two-stage optimal scheduling controllable loads rolling optimization

Predicting of Power Quality Steady State Index Based on Chaotic Theory Using Least Squares Support Vector Machine

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Energy and Power Engineering 2017年第4期9卷 713-724页

作者： Aiqiang Pan Jian Zhou Peng Zhang shunfu lin Jikai Tang Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company Shanghai China College of Electrical Engineering Shanghai University of Electric Power Shanghai China

An effective power quality prediction for regional power grid can provide valuable references and contribute to the discovering and solving of power quality problems. So a predicting model for power quality steady state index based on chaotic theory and least squares support vector machine (LSSVM) is proposed in this paper. At first, the phase space reconstruction of original power quality data is performed to form a new data space containing the attractor. The new data space is used as training samples for the LSSVM. Then in order to predict power quality steady state index accurately, the particle swarm algorithm is adopted to optimize parameters of the LSSVM model. According to the simulation results based on power quality data measured in a certain distribution network, the model applies to several indexes with higher forecasting accuracy and strong practicability.

关键词： Chaotic Theory Least Squares Support Vector Machine (LSSVM) Power Quality Steady State Index Phase Space Reconstruction Particle Swarm Optimization

基于全卷积去噪自编码器与卷积块注意力模块的非侵入式居民负荷分解模型

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电力自动化设备 2024年第3期44卷 127-133页

作者：林顺富李毅沈运帷林屹峰李东东上海电力大学电气工程学院上海200090

为了进一步提高低频居民负荷分解模型的分解精度与泛化能力,提出一种基于全卷积去噪自编码器与卷积块注意力模块的非侵入式居民负荷分解模型,该模型能够深度解析单一电器的功率曲线。基于全卷积去噪自编码器分别构建主回归子任务网络和... 详细信息

为了进一步提高低频居民负荷分解模型的分解精度与泛化能力,提出一种基于全卷积去噪自编码器与卷积块注意力模块的非侵入式居民负荷分解模型,该模型能够深度解析单一电器的功率曲线。基于全卷积去噪自编码器分别构建主回归子任务网络和辅助分类子任务网络;在子任务网络中,通过引入卷积块注意力模块自适应分配特征注意力权重,以减小不重要因素在模型训练过程中的影响;将辅助分类子任务网络的输出作为主回归子任务网络输出的门控单元,实现最终的负荷分解。基于公开数据集的算例结果表明,所提负荷分解模型比现有负荷分解模型具有更优的分解精度和泛化能力。

关键词：负荷分解全卷积去噪自编码器注意力模块子任务网络门控单元

基于信息间隙决策理论的电动汽车聚合商日前需求响应调度策略

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电力系统保护与控制 2022年第24期50卷 101-111页

作者：李东东张凯姚寅林顺富上海电力大学电气工程学院上海200090

电动汽车用户对于需求侧调控的响应存在相当比例的不确定性,当电动汽车充电信息不完整时,高效处理充电行为不确定性问题的方法仍然较少。因此,采用信息间隙决策理论对用户响应不确定性进行精确建模,并量化评估了相应的机会收益和风险损... 详细信息

电动汽车用户对于需求侧调控的响应存在相当比例的不确定性,当电动汽车充电信息不完整时,高效处理充电行为不确定性问题的方法仍然较少。因此,采用信息间隙决策理论对用户响应不确定性进行精确建模,并量化评估了相应的机会收益和风险损失。首先,为了量化分析聚合商对电动汽车预测响应率与实际响应率之间的可接受偏差度,将聚合商确定性的成本决策问题转换为计及电动汽车响应不确定度的优化问题。其次,根据聚合商对于策略风险成本的接受程度,将调度模型分为乐观型和悲观型。基于信息间隙决策理论依据给定成本与预期成本的偏差分别生成对应的机会策略和鲁棒策略,不同风险偏好的聚合商可根据此算法结果采取相应的优化策略来保证期望收益。最后,仿真结果表明,在有限充电信息环境下,所提算法能有效应对电动汽车响应不确定性问题,降低电动汽车充电聚合商的总调度成本。

关键词：电动汽车聚合商需求响应响应率不确定性信息间隙决策理论

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基于CNN-BiLSTM与DTW的非侵入式住宅负荷监测方法

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电网技术 2022年第5期46卷 1973-1981页

作者：林顺富詹银枫李毅李东东上海电力大学电气工程学院上海市杨浦区200082

为减少居民生活用电浪费现象,非侵入式负荷监测技术显示出其重要性。基于事件检测的情况下,该文提出一种基于卷积神经网络耦合双向长短时记忆神经网络(convolutionalneuralnetworksandBi-directionallong short-term memory,CNN-BiLSTM... 详细信息

为减少居民生活用电浪费现象,非侵入式负荷监测技术显示出其重要性。基于事件检测的情况下,该文提出一种基于卷积神经网络耦合双向长短时记忆神经网络(convolutionalneuralnetworksandBi-directionallong short-term memory,CNN-BiLSTM)与动态时间规划(dynamic time warping,DTW)的非侵入式住宅负荷监测方法。首先通过概率质量函数计量负荷的运行状态信息,提取出稳态运行时的U-I特性曲线图;然后将图片归一化为统一格式的灰度图,利用卷积神经网络提取出特征向量作为负荷印记;将其输入至双向长短时记忆神经网络中进行辨识,并利用动态时间规划算法优化辨识结果,实现高精度的负荷辨识。最后,利用PLAID公开数据集对于所提算法进行仿真验证,实验证明所选负荷印记具有良好的辨识性能,辨识算法相比对比算法具有更高的信度与准确率。

关键词：非侵入式负荷监测 U-I特性曲线卷积神经网络双向长短时记忆神经网络动态时间规划

基于联合虚拟储能系统的海岛微电网协同优化策略

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中国电机工程学报 2023年第20期43卷 7842-7855页

作者：李东东陈天旭沈运帷林顺富上海电力大学电气工程学院上海市杨浦区200090

可再生能源并网比例逐渐提高的同时,用户侧负荷也在逐年增长。微电网作为分布式新能源消纳的有效方式,其电力电量平衡也面临着巨大挑战。为充分发挥用户侧广义负荷的调控潜力,同时进一步考虑微网运营商、储能运营商以及可调节用户等市... 详细信息

可再生能源并网比例逐渐提高的同时,用户侧负荷也在逐年增长。微电网作为分布式新能源消纳的有效方式,其电力电量平衡也面临着巨大挑战。为充分发挥用户侧广义负荷的调控潜力,同时进一步考虑微网运营商、储能运营商以及可调节用户等市场主体参与电能交易时的利益分配问题,该文提出一种考虑虚拟储能系统的海岛微电网多主体博弈的优化调度策略。首先,根据空调负荷、电动汽车的运行特性,分析建筑物的蓄热特性以及电动汽车的充放电特性,建立一种包括空调负荷和电动汽车的联合虚拟储能系统。其次,考虑市场环境下源-荷-储三方利益诉求不同的问题,以微网运营商为领导者,储能运营商和用户为跟随者,构建各主体的交易模式和数学模型,建立一主多从的分布式协同优化模型。最后,通过算例验证所提方法的有效性,即在兼顾多主体利益的同时,能够有效减小峰谷差,减少区域电力系统对传统储能设备的依赖,从而节约投资成本。

关键词：虚拟储能主从博弈海岛微电网广义负荷

基于二分递推SVD分解的居民电器开关事件检测方法

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电网技术 2020年第4期44卷 1534-1542页

作者：林顺富于俊苏李东东符杨上海电力大学电气工程学院上海市杨浦区200090

针对非侵入式负荷监测技术中居民电器开关事件检测准确率不高的问题,提出一种基于二分递推奇异值分解(singular value decomposition,SVD)方法。对电器总有功功率数据进行二分递推SVD分解,通过计算奇异熵确定最佳分解层数,以不同层次空... 详细信息

针对非侵入式负荷监测技术中居民电器开关事件检测准确率不高的问题,提出一种基于二分递推奇异值分解(singular value decomposition,SVD)方法。对电器总有功功率数据进行二分递推SVD分解,通过计算奇异熵确定最佳分解层数,以不同层次空间的细节信号体现原始信号的突变点特征;采用硬阈值滤波函数对细节信号进行滤波,实现总有功功率中突变点位置的准确检测。利用不同噪声条件下实验数据和REDD(reference energy disaggregation data)数据集进行验证,所提方法克服了小波分解方法的检测位置偏移和非参数化双边滑动CUSUM变点检测方法的漏检、误检问题,有效提高了居民电器开关事件检测的准确率。

关键词：非侵入式负荷监测居民电器突变点检测 SVD分解奇异熵