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Optimal Bidding Strategy for PV and BESSs in Joint Energy and Frequency Regulation Markets Considering Carbon Reduction Benefits

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 427-439页

作者： Jing Bian Yuheng Song Chen Ding Jianing Cheng shiqiang li Guoqing li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education Northeast Electric Power UniversityJilin 132000China Datang Northeast Electric Power Test&Research Institute Co. Ltd.Changchun 130102China

Photovoltaic(PV)and battery energy storage systems(BESSs)are key components in the energy market and crucial contributors to carbon emission reduction *** systems can not only provide energy but can also generate considerable revenue by providing frequency regulation services and participating in carbon *** study proposes a bidding strategy for PV and BESSs operating in joint energy and frequency regulation markets,with a specific focus on carbon reduction benefits.A two-stage bidding framework that optimizes the profit of PV and BESSs is *** the first stage,the day-ahead energy market takes into account potential real-time forecast *** the second stage,the real-time balancing market uses a rolling optimization method to account for multiple ***,a real-time frequency regulation control method is proposed for the participation of PV and BESSs in automatic generation control(AGC).This is particularly relevant given the uncertainty of grid frequency fluctuations in the optimization model of the real-time balancing *** control method dynamically assigns the frequency regulation amount undertaken by the PV and BESSs according to the control interval in which the area control error(ACE)*** case study results demonstrate that the proposed bidding strategy not only enables the PV and BESSs to effectively participate in the grid frequency regulation response but also yields considerable carbon emission reduction benefits and effectively improves the system operation economy.

关键词： Photovoltaic(PV) battery energy storage system(BESS) energy market carbon market frequency regulation service bidding strategy

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Optimal Configuration of Fault Location Measurement Points in DC Distribution Networks Based on Improved Particle Swarm Optimization Algorithm

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Energy Engineering 2024年第6期121卷 1535-1555页

作者： Huanan Yu Hangyu li He Wang shiqiang li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China

The escalating deployment of distributed power sources and random loads in DC distribution networks hasamplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimalconfiguration of measurement points, this paper presents an optimal configuration scheme for fault locationmeasurement points in DC distribution networks based on an improved particle swarm optimization ***, a measurement point distribution optimization model is formulated, leveraging compressive *** model aims to achieve the minimum number of measurement points while attaining the best compressivesensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and networkwide viewability. Subsequently, the traditional particle swarm algorithm is enhanced by utilizing the Haltonsequence for population initialization, generating uniformly distributed individuals. This enhancement reducesindividual search blindness and overlap probability, thereby promoting population diversity. Furthermore, anadaptive t-distribution perturbation strategy is introduced during the particle update process to enhance the globalsearch capability and search speed. The established model for the optimal configuration of measurement points issolved, and the results demonstrate the efficacy and practicality of the proposed method. The optimal configurationreduces the number of measurement points, enhances localization accuracy, and improves the convergence speedof the algorithm. These findings validate the effectiveness and utility of the proposed approach.

关键词： Optimal allocation improved particle swarm algorithm fault location compressed sensing DC distribution network

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Dynamic Economic Scheduling with Self-Adaptive Uncertainty in Distribution Network Based on Deep Reinforcement Learning

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Energy Engineering 2024年第6期121卷 1671-1695页

作者： Guanfu Wang Yudie Sun Jinling li Yu Jiang Chunhui li Huanan Yu He Wang shiqiang li State Grid liaoning Electric Power Co. Ltd.Liaoyang Power Supply CompanyLiaoyang111000China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Jilin Northeast Electric Power University Science and Technology Development Co. Ltd.Jilin132012China

Traditional optimal scheduling methods are limited to accurate physical models and parameter settings, which aredifficult to adapt to the uncertainty of source and load, and there are problems such as the inability to make dynamicdecisions continuously. This paper proposed a dynamic economic scheduling method for distribution networksbased on deep reinforcement learning. Firstly, the economic scheduling model of the new energy distributionnetwork is established considering the action characteristics of micro-gas turbines, and the dynamic schedulingmodel based on deep reinforcement learning is constructed for the new energy distribution network system with ahigh proportion of new energy, and the Markov decision process of the model is defined. Secondly, Second, for thechanging characteristics of source-load uncertainty, agents are trained interactively with the distributed networkin a data-driven manner. Then, through the proximal policy optimization algorithm, agents adaptively learn thescheduling strategy and realize the dynamic scheduling decision of the new energy distribution network ***, the feasibility and superiority of the proposed method are verified by an improved IEEE 33-node simulationsystem.

关键词： Self-adaptive the uncertainty of sources and load deep reinforcement learning dynamic economic scheduling

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Dynamic Resistance and Energy Absorption of Sandwich Beam via a Micro-Topology Optimization

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Chinese Journal of Mechanical Engineering 2024年第4期 159-175页

作者： shiqiang li Yuwei li Xiaomin Ma Jianguang Fang Zhifang liu Zhihua Wang Institute of Applied Mechanics Taiyuan University of Technology Shanxi Key Laboratory of Material Strength and Structural Impact Taiyuan University of Technology School of Civil and Environmental Engineering University of Technology Sydney

The current research of sandwich structures under dynamic loading mainly focus on the response characteristic of structure. The micro-topology of core layers would sufficiently influence the property of sandwich ***, the micro deformation and topology mechanism of structural deformation and energy absorption are unclear. In this paper, based on the bi-directional evolutionary structural optimization method and periodic base cell(PBC) technology, a topology optimization frame work is proposed to optimize the core layer of sandwich *** objective of the present optimization problem is to maximize shear stiffness of PBC with a volume *** effects of the volume fraction, filter radius, and initial PBC aspect ratio on the micro-topology of the core were discussed. The dynamic response process, core compression, and energy absorption capacity of the sandwich beams under blast impact loading were analyzed by the finite element method. The results demonstrated that the overpressure action stage was coupled with the core compression stage. Under the same loading and mass per unit area,the sandwich beam with a 20% volume fraction core layer had the best blast resistance. The filter radius has a slight effect on the shear stiffness and blast resistances of the sandwich beams. But increasing the filter radius could slightly improve the bending stiffness. Upon changing the initial PBC aspect ratio, there are three ways for PBC evolution: The first is to change the angle between the adjacent bars, the second is to further form holes in the bars, and the third is to combine the first two ways. However, not all three ways can improve the energy absorption capacity of the structure. Changing the aspect ratio of the PBC arbitrarily may lead to worse results. More studies are necessary for further detailed optimization. This research proposes a new topology sandwich beam structure by micro-topology optimization, which has sufficient shear stiffness. The mi

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A Disturbance Localization Method for Power System Based on Group Sparse Representation and Entropy Weight Method

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Energy Engineering 2024年第8期121卷 2275-2291页

作者： Zeyi Wang Mingxi Jiao Daliang Wang Minxu liu Minglei Jiang He Wang shiqiang li Changchun Power Supply Company State Grid Jilin Electric Power Co.Ltd.Changchun130021China Economic and Technical Research Institute State Grid Jilin Electric Power Co.Ltd.Changchun130022China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityJilin132012China

This paper addresses the problem of complex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight *** different electrical quantities are selected as observations in the compressed sensing *** entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance ***,by leveraging the topological information of the power system and pre-designing an overcomplete dictionary of disturbances based on the corresponding system parameter variations caused by disturbances,an improved Joint Generalized Orthogonal Matching Pursuit(J-GOMP)algorithm is utilized for *** reconstructed sparse vectors are divided into three *** at least two parts have consistent node identifiers,the node is identified as the disturbance *** the node identifiers in all three parts are inconsistent,further analysis is conducted considering the weights to determine the disturbance *** results based on the IEEE 39-bus system model demonstrate that the proposed method,utilizing electrical quantity information from only 8 measurement points,effectively locates disturbance positions and is applicable to various disturbance types with strong noise resistance.

关键词： Disturbance location compressed sensing group sparse representation entropy power method GOMP algorithm

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混合级联型HVDC系统的后续换相失败预判方法

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电网技术 2024年第7期48卷 3053-3066,I0116-I0117页

作者：王鹤邱腾飞潘禹含边竞李石强现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学) 吉林省吉林市132012 国网吉林省电力有限公司吉林供电公司吉林省吉林市132000

白鹤滩—江苏±800k V特高压直流输电工程于2022年7月1日在中国投运,在世界上首次创造性地研发应用了特高压混合级联直流输电新技术方案。基于此系统背景对逆变侧电网换相换流器(line commutated converter,LCC)进行具有一定时间裕度的... 详细信息

白鹤滩—江苏±800k V特高压直流输电工程于2022年7月1日在中国投运,在世界上首次创造性地研发应用了特高压混合级联直流输电新技术方案。基于此系统背景对逆变侧电网换相换流器(line commutated converter,LCC)进行具有一定时间裕度的后续换相失败预判。分析了LCC控制器对电气量的控制作用和模块化多电平换流器(modular multilevel converters,MMC)对LCC的电压支撑作用,明确了混合级联直流输电系统逆变侧LCC发生后续换相失败的机理。推导了逆变侧LCC在首次换相失败后恢复过程末期关断角与故障后线路传输功率最小值的关系,定义了阈值功率的概念。然后建立了关断角与阈值功率的定量关系,提出一种故障后直流传输功率最小值与功率阈值相比较的后续换相失败预判方法。最后在PSCAD/EMTDC中搭建了相应的仿真模型,验证了理论分析和预测方法的准确性。

关键词：混合级联直流输电系统后续换相失败预判交流故障阈值功率

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饲粮中添加酵母硒和二羟基丙酮对山羊生长性能、营养物质表观消化率、屠宰性能、肉品质及血清生化、抗氧化指标的影响

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动物营养学报 2024年第6期36卷 3797-3810页

作者：和浩生李世强蒋姣平方热军湖南农业大学动物科学技术学院智慧牧业湖南省工程研究中心长沙410128 湖南安化县畜牧水产事务中心安化413500 湖南省安化县犇鑫山羊养殖场安化413500

本试验旨在研究饲粮中添加酵母硒和二羟基丙酮对山羊生长性能、营养物质表观消化率、屠宰性能、肉品质及血清生化、抗氧化指标的影响。选取6月龄健康、雄性川中黑山羊96只,平均体重(24.83±1.50)kg,随机分为4组,每组4个重复,每个重复6... 详细信息

本试验旨在研究饲粮中添加酵母硒和二羟基丙酮对山羊生长性能、营养物质表观消化率、屠宰性能、肉品质及血清生化、抗氧化指标的影响。选取6月龄健康、雄性川中黑山羊96只,平均体重(24.83±1.50)kg,随机分为4组,每组4个重复,每个重复6只羊。对照组(CON组)饲喂基础饲粮,试验组分别在基础饲粮中添加0.3 mg/kg的酵母硒(SY组)、25 mg/kg的二羟基丙酮(DHA组)及0.3 mg/kg的酵母硒+25 mg/kg的二羟基丙酮(SY-DHA组)。预试期10 d,正试期60 d。结果表明:1)与CON组相比,SY组和SY-DHA组的平均日增重(ADG)和平均日采食量(ADFI)显著提高(P0.05)。4)与CON组相比,SY组和SY-DHA组的背最长肌和股二头肌红度值、pH 45 min显著提高(P<0.05),且SY-DHA组的股二头肌红度值显著高于SY组(P<0.05)。与CON组相比,SY组、DHA组和SY-DHA组的背最长肌滴水损失和股二头肌pH 24h显著降低(P<0.05)。5)与CON相比,SY组、DHA组和SY-DHA组的血清总蛋白(TP)含量显著提高(P<0.05),血清碱性磷酸酶(ALP)活性显著降低(P<0.05);DHA组和SY-DHA组的血清球蛋白(GLB)、高密度脂蛋白(HDL)含量显著提高(P<0.05),SY-DHA组的血清白蛋白(ALB)、总胆固醇(TC)含量显著提高(P<0.05)。6)与CON相比,SY组、DHA组和SY-DHA组的血清总抗氧化能力(T-AOC)显著提高(P<0.05),血清丙二醛(MDA)含量显著降低(P<0.05);SY组和SY-DHA组的血清谷胱甘肽过氧化物酶(GSH-Px)、超氧化物歧化酶(SOD)活性显著提高(P<0.05)。综上所述,饲粮中添加酵母硒可以提高山羊生长性能和营养物质表观消化率;饲粮中添加酵母硒或二羟基丙酮均可以改善山羊肉品质,提高血清TP含量,改善脂质代谢,提高抗氧化能力,酵母硒和二羟基丙酮联合添加效果更优。

关键词：酵母硒二羟基丙酮山羊生长性能营养物质表观消化率肉品质抗氧化

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基于无人机航测成果的洪峰流量推算

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东北农业大学学报 2024年第4期55卷 62-72页

作者：李世强孙永贺王子龙黑龙江省水文水资源中心哈尔滨150001 带岭径流实验站黑龙江伊春153000 东北农业大学水利与土木工程学院哈尔滨150030

因山丘区小流域暴雨洪水洪峰流量实测困难,为及时掌握暴雨洪水特征参数,亟须完成洪峰流量推算工作。无人机航空摄影测量装备的发展为暴雨洪水应急调查工作提供新思路。研究利用无人机航测效率高、数据成果丰富等特点,在不依赖地面实测... 详细信息

因山丘区小流域暴雨洪水洪峰流量实测困难,为及时掌握暴雨洪水特征参数,亟须完成洪峰流量推算工作。无人机航空摄影测量装备的发展为暴雨洪水应急调查工作提供新思路。研究利用无人机航测效率高、数据成果丰富等特点,在不依赖地面实测数据前提下,基于高精度航测成果DOM(Digital orthophoto map)和DSM(Digital surface model)提取河道高程、洪痕边界和糙率等计算参数,结合比降-面积法(曼宁公式)提出一种推算洪峰流量新方法。以东风沟“7·12”暴雨洪水为例,提取15组断面数据、按三种比降取值方案推算洪峰流量,以GNSS-RTK测量数据推算的洪峰流量为标准值检验该方法。均值检验结果显示,该方法成果样本均值与检验值差别不显著(P>0.05);流量测验精度评定显示该方法成果精度满足三类精度水文站标准(随机不确定度<15、系统误差<±2)。综合分析显示,该方法与GNSS-RTK测量数据推算洪峰流量在外业效率、环境适应性、数据种类和数量等方面具有优势,证明将无人机航测高精度成果与典型洪峰流量公式相结合的可行性。研究结果为山丘区小流域暴雨洪水洪峰流量推算、洪水调查等工作提供参考。

关键词：无人机航测 DOM DSM 比降-面积法洪峰流量总随机不确定度

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基于贝叶斯网络信息融合的直流配电网故障诊断方法

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电力系统保护与控制 2024年第5期52卷 61-72页

作者：王鹤韦搏李石强于华楠边竞仇华华现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学) 吉林吉林132012

新型直流配电系统故障期间暂态特征复杂多变,继电保护存在拒动和误动情况。为了避免继电保护的不正确动作对故障诊断产生影响,提出一种基于贝叶斯网络信息融合的直流配电网故障诊断方法。首先,对传统继电保护贝叶斯网络模型进行改进,同... 详细信息

新型直流配电系统故障期间暂态特征复杂多变,继电保护存在拒动和误动情况。为了避免继电保护的不正确动作对故障诊断产生影响,提出一种基于贝叶斯网络信息融合的直流配电网故障诊断方法。首先,对传统继电保护贝叶斯网络模型进行改进,同时考虑直流配电网故障限流策略,分别构建保护动作信息、断路器动作信息和限流策略信息3种贝叶斯网络模型,对故障区域内各元件的故障概率进行初步评估。其次,利用D-S证据理论将各元件对应的故障概率信息进行融合,完成故障元件的判别。然后,应用故障元件对应的贝叶斯网络模型识别误动或拒动的保护装置与断路器,实现对直流配电网的故障诊断。最后,通过算例验证了所提故障诊断方法的可靠性以及准确性。

关键词：直流配电网贝叶斯网络故障限流策略 D-S证据融合故障诊断

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山西省集体土地所有权确权登记成果更新汇交实务探析

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经纬天地 2024年第3期 52-54页

作者：李世强山西省测绘地理信息院山西太原030001

通过全面清理整合农村集体土地所有权确权登记存量数据,消除各类数据之间的矛盾和冲突,建立各类数据之间的联系,形成统一的不动产地籍“一张图”,实现空间、属性及登记业务等数据一体化存储,达到图、属一体化管理。根据相关法律法规和... 详细信息

通过全面清理整合农村集体土地所有权确权登记存量数据,消除各类数据之间的矛盾和冲突,建立各类数据之间的联系,形成统一的不动产地籍“一张图”,实现空间、属性及登记业务等数据一体化存储,达到图、属一体化管理。根据相关法律法规和政策文件,结合实际工作经验,对集体土地所有权登记成果更新汇交工作进行一些思考。

关键词：工作思路申请主体公告程序登记类型

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