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Optimal Scheduling of Integrated energy systems in Low-Carbon Communities Considering Flexibility of Resources and Segmental control of Solid Oxide Fuel Cells

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Journal of modern power systems and Clean energy 2024年第3期13卷 915-927页

作者： Mao Yang Yuxin Wang Jinxin Wang Dongxu Liu Weihang Xu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

To address the strong thermoelectric coupling of the combined heat and power (CHP) units, the low utilization rate of energy storage, and the underexploitation of load-side resource flexibility in integrated energy systems (lESs)., this paper proposes an optimal scheduling model of an IES in low-carbon communities considering flexibility of resources and the segmental control of solid oxide fuel cells (SOFCs). Firstly., by replacing the gas turbine (GT) in the CHP unit with an SOFC array to reduce carbon emissions and simultaneously weakening the thermoelectric coupling of the CHP unit, the segmental control method is used to control the SOFC array to improve the overall efficiency of the CHP unit. Secondly, coupled interactions among different types of energy storage equipments are mobilized through the integrated energy storage system to make full use of the remaining space in the heat and natural gas storage tanks. Finally, load-side flexible resources are utilized by considering transferable, substitutable, and heat loads, taking into account the thermal inertia of the building and categorizing rooms based on floors, orientations, and room area. Additionally., different user characteristics are characterized, and the flexible resources of building heating periods in northern cities in China are tapped in depth according to the actual factors. Compared with the traditional model, the optimal scheduling model proposed in this paper can reduce the wind abandonment rate and the carbon emission of community-integrated energy system (CIES) by 4.54% and 70.63%, respectively, and increase the utilization rate of heat and natural gas storage tanks by 12.34 % and 30.52%., respectively, and lower the total cost by ¥2183.6 under the premise of ensuring user comfort during energy consumption, which promotes the economic and low-carbon operation of the CIES.

关键词： energy storage Cogeneration Wind power generation Buildings Resistance heating Heating systems Turbines

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Optimal Scheduling Strategy for Interconnected Multi-region Peaking Resources Considering Network Currents 9

Optimal Scheduling Strategy for Interconnected Multi-region ...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Li, Junhui Pan, Yahui Qi, Xuesong Guan, Xiaozhuo Guo, Tiebin Zhang, Yizhu Sun, Jia Lu, Yixin Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China Power Dispatching and Control Center Jilin Power Supply Company Jilin China Science and Technology Section Jilin Power Supply Company Jilin China Jilin Electric Power Co Science and Technology Innovation Department Changchun China

ISBN: (纸本)9798350309638

Under the background of the increasing proportion of new energy power generation, the mismatch of 'source-load' occurs between regions. To effectively improve the utilization rate of peaking resources and increase the amount of 'source-load' matching, this paper proposes the optimal scheduling of multiregional peaking resources considering network currents. The strategy takes into account the impact of wind power penetration rate on the demand for peaking resources and connects the regions with different peaking characteristics using contact lines. It evaluates and iterates the peaking resources of each region in each time period and finds the optimal amount of peaking resources and the optimal output of thermal power units in each region. Through simulation, the results show that the proposed strategy effectively improves wind power consumption and system operation economy. © 2024 IEEE.

关键词： Wind power

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Short-Term Prediction of Wind Farm Cluster power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods 7

Short-Term Prediction of Wind Farm Cluster Power Based on Lo...

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7th IEEE Conference on energy Internet and energy system Integration, EI2 2023

作者： Yang, Mao Guo, Yunfeng Wang, Bo Wang, Zhao Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China China Electric Power Research Institute National Key Laboratory of Renewable Energy Grid-Integration Beijing100192 China

ISBN: (纸本)9798350345094

Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the power system due to prediction errors, a short-term prediction method of wind farm cluster power considering risk scenarios and improved loss function is proposed. Firstly, the coupled correlation mechanism between meteorological type and load demand is explored, and the load risk scenario and meteorological correlation are derived. Second, according to the risk scenarios of load demand, the traditional loss function is improved and used to train the power prediction model under the risk scenarios. Then, a dynamic division strategy of wind farm clusters considering the meteorological similarity of the previous day is proposed to obtain the sub-clusters of similar output. Finally, the model with improved weighted loss function is used to predict the wind power for different regional sub-clusters and extended to wind farm clusters. The above method is validated using the wind farm clusters in West Inner Mongolia, China. and the results show that in the low-risk load scenario, the accuracy of the model with improved loss is higher, and the accuracy decreases with the increase of the load risk level, but the overall risk indexes are significantly lower than the method with traditional loss function, which proves the validity of the proposed method. © 2023 IEEE.

关键词： Risk assessment

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Coupling Analysis and Protection Design of Substation Grounding Grid and Surrounding Metal Pipe Grid 3

Coupling Analysis and Protection Design of Substation Ground...

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3rd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT2023

作者： Wang, Tao Yuan, Haojie Zheng, Xuan Song, Mengqing Ma, Chenglian Shandong Electric Power Engineering Consulting Institute Co. Ltd. Jinan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

When the substation grounding grid and part of the underground metal pipe grid are close to each other, the two produce resistive coupling, and the current of the transmission line will flow through the grounding body and through the soil to the buried pipe grid, which may break through the anti-corrosion layer of the pipe grid, and may burn the body of the pipe grid in serious cases;the underground metal pipe grid will also have an impact on the parameters of the grounding grid. To this end, this paper is based on the numerical calculation method of field-path coupling, combined with the actual situation of substation, using CDEGS and ETAP software to simulate and analyze the current dissipation process when a short-circuit fault occurs in the substation after the ground grid is put into operation under multi-layer soil environment, and to study the influence of resistive coupling between the grounding grid and the surrounding metal pipe grid during an industrial frequency grounding short circuit. Optimize the structure of the grounding system so that the contact voltage across and step voltage is lower than the safety limit to protect the personal safety in the station;at the same time, take certain protective measures to slow down the corrosion of the pipe grid. © 2023 Elsevier B.V.. All rights reserved.

关键词： Electric grounding

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Bi-level Optimization Strategy of Grid-side Multiple energy Storage Stations Considering Available Capacity and Frequency Regulation Cost

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Dianli Xitong Zidonghua/Automation of Electric power systems 2025年第10期49卷 101-111页

作者： Li, Junhui Song, Qinglong Guo, Qi Yan, Jun Li, Cuiping Hao, Qianpeng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Co. Ltd. Hohhot010020 China School of Future Technology Tianjin University Tianjin300350 China

Aiming at the problem that some energy storage stations in the region lose charging/discharging capability in advance due to uneven distribution of frequency regulation instructions, resulting in insufficient response ability of subsequent frequency regulation demand, a bi-level optimization strategy of grid-side multiple energy storage stations considering available capacity and frequency regulation cost is proposed. The proposed strategy includes the frequency regulation power distribution layers of energy storage stations and energy storage units. The upper layer introduces the available capacity state coefficient and the adaptive coefficient about the adjustment ability of energy storage resources, and designs the optimal distribution model of frequency regulation power partition of energy storage station to realize the balanced distribution of frequency regulation power in each energy storage station. The lower layer takes into account the state of health (SOH), the resistance coefficient, and the balanced recovery of the state of charge (SOC) for the energy storage unit to construct the objective function, so as to prioritize the recovery of SOC for energy storage units with high SOH. The simulation results show that the proposed strategy can improve the response ability of the energy storage resources in the region and realize the maximum utilization of energy storage resources while ensuring a certain economy. © 2025 Automation of Electric power systems Press. All rights reserved.

关键词： Electric power utilization

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Carbon Emissions Constraint Distributed Low-carbon Economic Dispatch of power system 7

Carbon Emissions Constraint Distributed Low-carbon Economic ...

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7th IEEE International Conference on power and renewable energy, ICPRE 2022

作者： Li, Junhui Shao, Yan Zhu, Xingxu Li, Cuiping Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Jilin132012 China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

In order to meet the emission reduction requirements of integrated energy power system, the global inequality constraint is added to the economic dispatch model to reduce the carbon emission of the system by regulating the output of the unit, but it is difficult to achieve distributed solution. In order to solve the distributed low-carbon economic scheduling problem with global inequality constraints, a distributed economic scheduling solution method is proposed based on the existing research results. This method is based on dual theory and variable decomposition method to decompose it into sub-problems related to each virtual power generation unit (Agent). The alternating direction multiplier method (ADMM) algorithm is used to realize distributed economic scheduling through the exchange and iteration of Lagrange multiplier information between adjacent Agents, and meet the demand of "plug and play"of the optimization unit. Finally, the effectiveness of the proposed method is verified by an IEEE-6-bus system. © 2022 IEEE.

关键词： Lagrange multipliers

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Analytic Mechanism for the Cumulative Effect of Wind power Fluctuations from Single Wind Farm to Wind Farm Cluster

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CSEE Journal of power and energy systems 2022年第5期8卷 1290-1301页

作者： Gang Mu Fangze Wu Xiaoping Zhang Ziheng Fu Bai Xiao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Department of Electronic Electrical and Systems EngineeringSchool of EngineeringUniversity of BirminghamBirmingham B152TTU.K

The use of wind power is rapidly growing worldwide as a means of reducing carbon emissions for the energy *** has the world’s largest wind power installation and multiple large-scale wind farm clusters,each comprising dozens of wind *** the planning and operation of the power system,it is important to understand the power fluctuation characteristics of wind farm *** studies demonstrate that the relative power fluctuation of a wind farm cluster is less than that of a single wind *** this decreasing trend a random occurrence or does it have a regular pattern?This scientific question is addressed by investigating the mechanism of the cumulative effect of a wind farm *** this study,a cumulative model is proposed by examining the spatiotemporal relationships of wind power variations and wind farm *** gain function and critical cumulative frequency are defined as the foundations to analytically describing the cumulative *** investigating the cumulative effect mechanism,the relationship between power fluctuation and spatiotemporal parameters of the wind farm cluster are *** power fluctuation of a cluster can be predicted using the cumulative model even before it is completely *** mechanism of the cumulative effect is validated on the basis of the data of two actual wind farm clusters.

关键词： Analytic mechanism cumulative effect evolution regularity wind farm cluster wind power fluctuation

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Real-time Optimal energy Management of Combined Cooling, Heating and power systems Based on Knowledge conlusion 6

Real-time Optimal Energy Management of Combined Cooling, Hea...

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6th IEEE International Electrical and energy Conference, CIEEC 2023

作者： He, Chunjiang Wang, Yijian Xu, Yang Cui, Yang China Electric Power Research Institute State Key Laboratory of Power Grid Security and Energy Conservation Beijing China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9798350346671

Combined Cooling, Heating and power(CCHP) system is an important way to improve the efficiency of energy utilization and wind power consumption. In this case, increasing the operational flexibility of CCHP systems can help increase renewable energy consumption and reduce carbon emissions. So, it is necessary to provide real-time optimal energy management(OEM) for CCHP systems. In this paper. Firstly, a new training method is proposed for the LightGBM to improve the accuracy of real-time wind power prediction. In addition, to solve the nonlinear OEM of CCHP in real-time, a novel deep reinforcement learning algorithm-Soft Actor-Critic, is used in this paper. By combining the mechanism of CCHP with the reward function through knowledge fusion, the non-convex models can be translated into Markov Decision Processes(MDP), and then according to the Bellman optimal equation, the real-time optimized operation of the CCHP system is realized. Finally, the effectiveness of the proposed policy is verified by the actual operation data of a CCHP system in Northwest China. © 2023 IEEE.

关键词： Reinforcement learning

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The Characteristics and Suppression Protection Measures of AC Filter Closing Inrush Current Considering Residual Voltage and Residual Charge

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Engineering Letters 2024年第12期32卷 2191-2199页

作者： Gao, Hongguang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

In recent years, China has implemented numerous ultra-high voltage direct current transmission projects, offering notable advantages such as high stability, low losses, and cost-effectiveness. These projects necessitate frequent switching of AC filters at converter stations to meet reactive power requirements. During filter switching, a substantial closing inrush current is generated. The capacitors in AC filters, made up of multiple small capacitors in series and parallel, can retain residual charge and voltage if flashovers occur in some capacitors. Moreover, due to the capacitors' memory effect, rapid re-closing of the AC filter shortly after system operation can result in residual voltage, leading to a larger closing inrush current. This study presents a residual charge calculation model for high-voltage capacitors and a residual voltage model for quick re-closing scenarios established through PSCAD/EMTDC simulations. The research not only analyzes the detrimental effects of closing inrush current and overvoltage on the filter system caused by residual charges and voltage but also proposes innovative solutions with practical implications. To expedite the discharge of capacitors with residual charges, a novel adjustable discharge resistance model is proposed, which can enhance discharge speed by four times, significantly improving the efficiency and safety of high-voltage transmission systems. In addition, this paper introduces a new type of capacitor flashover fault identification method, which can achieve more accurate identification of the fault location and the number of capacitors that flashover occurs, thereby significantly facilitating the maintenance and troubleshooting of high-voltage systems. © 2024, International Association of Engineers. All rights reserved.

关键词： Cost effectiveness

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Vibro-Acoustic Analysis for Transformer under DC Bias Based on Electromagnetic Coupling

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Progress In Electromagnetics Research B 2024年 104卷 171-186页

作者： Pan, Chao Shi, Xiaobo Fu, Tongrui An, Jingge Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

Aiming at the operational stability of DC-biased transformer, a multi-parameter correlation method based on electromagnetic coupling is presented in this paper. The mode-state analysis scheme is designed, and the feature parameters of electromagnetic, mechanical, and acoustic fields in internal components are simulated and analyzed. The electromagnetic properties under DC bias are simulated by the electromagnetic model, thus the winding current and magnetic flux density are extracted as the feature parameters. Then the vibration and stress distribution can be solved by the mechanical model, which are treated as the feature parameters of the mechanical field. By utilizing the computed mechanical information as excitation, the spatial-temporal distribution of sound pressure can be obtained in the acoustic model. Taking three-phase three-limb transformer and three-phase group transformer as examples, the electromagnetic, mechanical, and acoustic parameters of components are analyzed under different conditions. The variations of feature parameters are summarized and contrasted. Furthermore, actual vibration and noise parameters are measured through dynamic experimental platforms. The effectiveness of the multi-parameter correlation method is verified by the consistency between simulation and experiments, and the unobservable abnormal physical features can be represented by observable electrical information. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Correlation methods

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