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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Yu, Haozheng Li, Ke Guo, Xinzhi Quan, Shaoli Zhao, Hanjie Zhu, Xingxu Li, Cuiping Zhu, Wenchao Yan, Jiaqi Gao, Kunqi Research Institute State Grid Henan Economic Zhengzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

With the increase of the proportion and dispersion of distributed PV connected to the distribution network, the possibility of extreme PV configuration is decreasing. However, the traditional bearing capacity evaluation includes a large number of extreme photovoltaic configuration scenarios, and the calculation results are too conservative. At the same time, the traditional evaluation method ignores the limitation of reverse power transmission to the main network at the time of large photovoltaic generation in the distribution network. For the above problems, a distributed photovoltaic carrying capacity evaluation method based on voltage sensitivity ranking is proposed. The method includes access scheme modification layer and index inspection layer: the voltage sensitivity ranking method is introduced into the access scheme modification layer to optimize the access scheme in each iteration and eliminate the extreme value distribution of photovoltaic. In the index inspection layer, the voltage deviation index and reverse power transmission of high proportion distributed photovoltaic distribution network are introduced to judge the rationality of the optimization scheme and feed back to the modification layer of the access scheme. The two-layer iteration finally obtains the calculation results of the distributed photovoltaic carrying capacity of the network. This method is closer to reality, reduces the conservatism of calculation and improves the adaptability of calculation. It has certain guiding significance for the photovoltaic planning and construction of the actual distribution network. © 2022 IEEE.

关键词： Bearing capacity

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Optimized Strategies for Peak Shaving and BESS Efficiency Enhancement through Cycle-Based control and Cluster-Level power Allocation

arXiv

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arXiv 2025年

作者： Gan, Guo Junhui, Li Gang, Mu Gangui, Yan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

Battery energy Storage systems (BESS) are essential for peak shaving, balancing power supply and demand while enhancing grid efficiency. This study proposes a cycle-based control strategy for charging and discharging, which optimizes capture rate (CR), release rate (RR), and capacity utilization rate (CUR), improving BESS performance. Compared to traditional day-ahead methods, the cycle-based approach enhances operational accuracy and reduces capacity waste, achieving a CUR increase from 75.1% to 79.9%. An innovative cluster-level power allocation method, leveraging an improved Particle Swarm Optimization (PSO) algorithm, is introduced. This strategy reduces daily energy loss by 174.21 kWh (3.7%) and increases BESS efficiency by 0.4%. Transient and steady-state energy loss components are analyzed, revealing that transient loss proportion decreases significantly as power depth increases, from 27.2% at 1 MW to 1.3% at 10 MW. simulations based on a detailed Simulink/Simscape model validate these methods, demonstrating enhanced peak shaving effectiveness and prolonged BESS lifespan by reducing equivalent cycles. The study provides a robust framework for optimizing BESS performance and efficiency in real-world applications. Copyright © 2025, The Authors. All rights reserved.

关键词： Charge storage

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Adaptive Adjustment Method for Grid-forming energy Storage Parameters Based on Buffer Functions and Damping Switching

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Dianli Xitong Zidonghua/Automation of Electric power systems 2025年第10期49卷 77-86页

作者： Cui, Yang Ma, Boyu Dai, Hanyang Ma, Xin Zhao, Yuting Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China China Electric Power Research Institute Beijing100192 China Electric Power Research Institute of State Grid Ningxia Electric Power Ltd. Co. Yinchuan750002 China

In the development tendency of high penetration of renewable energy and power electronic devices in new power systems, the grid-forming control technology for renewable energy integration mitigates the system stability issues caused by insufficient inertia and damping. However, it also reduces the dynamic regulation performance of the system. This paper proposes an adaptive adjustment method for grid-forming energy storage parameters based on buffer functions and steady-state/transient-state damping switching, to improve the dynamic regulation performance of the system. Firstly, the buffer functions are used in inertia adjustment to enhance the regulation smoothness of the system. Secondly, a steady-state/transient-state damping switching link is introduced in the damping adjustment to reduce the steady-state error of active power output during the frequency reduction process. Thirdly, the fuzzy control is employed to introduce correction terms for inertia and damping, and the stability of the proposed method is analyzed. Finally, simulations validate the effectiveness of the proposed method in enhancing small-signal stability and power response dynamic performance of the system. © 2025 Automation of Electric power systems Press. All rights reserved.

关键词： Electric power transmission networks

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Analytical Analysis on DC Capacitance Voltage Dip Amplitude of AC Adjustable-Speed Drives

Analytical Analysis on DC Capacitance Voltage Dip Amplitude ...

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International Conference on Harmonics and Quality of power

作者： Zheng Yang Hou-He Chen Yu-Xi Song Guang-Ze Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (数字)9798350382563

ISBN: (纸本)9798350382570

With the development of society, the frequency of Adjustable-Speed Drives (ASD) usage among industrial users has surged. ASDs are highly sensitive to voltage dips, when the DC capacitance voltage drops below a certain threshold, the ASD low voltage protection is triggered. However, this threshold is set based on voltage tolerance curve (VTC) and is subjective, quantitative analysis on the amplitude of DC capacitor voltage dips in ASDs is lacking. Therefore, this paper constructs a dynamic model of the ASD grid-connected system on a transient time scale and obtains an approximate analytical solution for the power absorbed by the ASD from the grid. Furthermore, by establishing a dynamic model of the capacitor voltage during speed regulation and grid voltage dips caused by the single line-to-ground fault, and based on the Fourier expansion method, the approximate analytical solution for the amplitude of ASD capacitor voltage dips is obtained. Finally, the effectiveness of the algorithm is validated by simulation and calculation.

关键词： Analytical models Voltage fluctuations Statistical analysis Capacitance-voltage characteristics Capacitors Variable speed drives Threshold voltage Regulation Voltage control Transient analysis

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Multi-Objective Hybrid energy Storage Optimization Configuration Model for Reducing Thermal power Frequency Modulation Loss

Multi-Objective Hybrid Energy Storage Optimization Configura...

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2023 International Conference on power system technology, powerCon 2023

作者： Li, JunHui Zhao, ZhenZhuo Zhao, ZhiQiang Liu, HaoJun Li, CuiPing Li, Zhi Jia, CaiQi Zhu, XingXu Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China State Grid Hami Power Supply Company Xinjiang Uygur Autonomous Region HaMi Hami839000 China

ISBN: (纸本)9798350300222

The TPU (Thermal power Unit) equipped with HESS (Hybrid energy Storage system) can effectively increase of FM (Frequency Modulation) performance of the unit and decrease the FM loss of the thermal power unit. The difficulty of rational allocation of ES (energy Storage) is how to improve the FM performance of TPU and reduce the life cycle cost of ES. Therefore, the paper establishes a multi-objective hybrid energy storage optimization configuration model aimed at reducing the FM loss of thermal power. Firstly, a double-layer control policy of thermal power-hybrid energy storage is proposed. The first layer is the thermal power-hybrid energy storage AGC instruction allocation strategy based on EMD (Empirical Mode Decomposition). The second layer is a hybrid energy storage control strategy with flywheel ES priority action and lithium battery second response. Then, a multi-objective optimal configuration model considering the difference between life cycle cost and benefit and AGC comprehensive evaluation index Kp is established. It uses the multi-objective PSO (Particle Swarm Optimization) algorithm based on TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) to solve the model, which can avoid contingency of traditional multi-objective PSO in determining optimum solution in the Pareto solution set. Finally, based on the simulation analysis of power plant operation data in North China, the results verify the availability and feasibility of the established model. © 2023 IEEE.

关键词： Frequency modulation

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Coordinated optimal configuration scheme of wind-solar ratio and energy storage considering wind-solar complementary characteristics 6

Coordinated optimal configuration scheme of wind-solar ratio...

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6th International Conference on energy, power and Grid, ICEPG 2024

作者： Yang, Xiuyu Li, Zhiwen Peng, Jian Miu, Gang Yuan, Shaowei Zhu, Zhengyin Northeasst Electric Power University Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology Ministry of Education Jilin China State Grid Xinjiang Power Supply Company State Grid Urumqi Power Supply Company Urumqi City China

ISBN: (纸本)9798350377798

This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light. On the premise of maintaining the stability of the wind-solar hybrid power generation system, the optimal allocation model of wind-solar ratio and energy storage considering the complementary characteristics of wind-solar is established with the minimum total cost of planning. At the same time, three indicators of power fluctuation index, wind-solar permeability and new energy abandonment rate are proposed to evaluate the scheme. © 2024 IEEE.

关键词： Windmill

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Economic Analysis of Peak Regulation of Fire Storage system Based on Northeast Electric Auxiliary Service Market 4

Economic Analysis of Peak Regulation of Fire Storage System ...

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4th International Conference on power and energy technology, ICPET 2022

作者： Zhao, Haiji Zhang, Jingxiang Yu, Jun Jin, Xuezhu Hou, Kaiyuan An, Chenyu Xu, Fei Li, Junhui Northeast Branch of State Grid Corporation of China 110180 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

With the proposal of 'dual carbon' goal, the installed capacity of new energy is increasing rapidly, but the randomness and unpredictability of new energy affect the security of power grid. The stability of power grid requires the thermal power plant to carry out the task of peak regulation, but the thermal power plant to undertake the task of deep peak regulation is not high income, poor enthusiasm. Based on the operation rules of auxiliary service market in Northeast China, this paper studies the deep peak shaving task of energy storage system auxiliary thermal power plant. At the same time, the cost of all-vanadium flow battery was modeled and calculated, and the control strategy of charge and discharge limit of energy storage was adopted based on the depth peak shaving benchmark. The cost model and profit model of the energy storage system are constructed, and the economic analysis of the energy storage system in the combined fire storage system is carried out. Further explore the feasibility of energy storage system combined with thermal power plant peak regulation. © 2022 IEEE.

关键词： Economic analysis

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Pre-configuration Method and Scheduling Strategy of Distribution Network Mobile energy Storage Vehicle Considering Intermittent Load of Rural Network

Pre-configuration Method and Scheduling Strategy of Distribu...

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2024 International Conference on Electronics and Devices, Computational Science, ICEDCS 2024

作者： Lu, Xiaoming Yao, Yiwen Xin, Yechen Wang, Dingheng Wang, Xinhong Xu, Xin Li, Hao State Grid Jilin Electric Power Co. Ltd Economic and Technological Research Institute Changchun China Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China State Grid Jilin Electric Power Co. Ltd Changchun China

ISBN: (纸本)9798331527624

Aiming at the problem of heavy overload in the distribution station area during the peak period of energy consumption caused by intermittent loads such as agricultural motor wells, the mobile energy storage technology is considered to meet the agricultural power demand, and a two-stage mobile energy storage vehicle pre configuration and dynamic adjustment strategy of "Rural busy power energization"and "rural idle distributed energy storage"is proposed, taking into account the guarantee of load power demand and the efficiency and economy of energy storage. Firstly, the mathematical model of agricultural motor well load considering the time shift characteristics and the mobile energy storage vehicle model considering the power supply time constraint are established;Secondly, a multi-stage mobile energy storage configuration and scheduling strategy is established. In the Rural busy power generation stage, the mobile energy storage vehicle capacity is configured with the minimum daily power supply cost as the goal, and the power supply path is optimized with the highest charge state consistency at the completion of power supply as the goal;At the stage of distributed energy storage in rural slack, the collaborative optimization of mobile energy storage vehicles participating in multi scenario power services is carried out with the goal of maximizing the annual net income. Finally, the proposed two-stage strategy has certain economic benefits under the premise of meeting the power demand of the load, which is verified by combining the power consumption data of wells in Jilin Province and IEEE 33 bus system simulation. © 2024 IEEE.

关键词： Charge storage

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Multi-objective Optimal Allocation Strategy for Distributed energy Storage in Distribution Networks Adapted to High Penetration Distributed Photovoltaics 9

Multi-objective Optimal Allocation Strategy for Distributed ...

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

作者： Li, Cuiping Wang, Yanli Chen, Yiming Qi, Xuesong Liu, Yunjing Fang, Qian Cui, Shengyuan Wang, Yuming Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China State Grid Shanghai South Power Supply Company Science and Technology Section Shanghai China Jilin Power Supply Company Power Dispatching and Control Center Jilin China Jilin Power Supply Company Science and Technology Section Jilin China Jilin Power Supply Company Ministry of Science and Technology Jilin China

ISBN: (纸本)9798350309638

High percentage of photovoltaic gain connect to the wire line, so that the electricity grid from power distribution of the receiving end of the network into a set of production, storage, distribution of multi-source complex new network, the distribution network security operation and new energy consumption pressure increases. In response to the above, this paper puts forward the distributed ES multi-objective optimization configuration strategy of distribution network adapted to the high penetration rate distributed PV. And through a county power grid practical example to certify that the ES configuration approach proposed can effectively mitigate the impact of a high proportion of PV accessed, and it can reduce the abandonment of light. © 2024 IEEE.

关键词： Electric power distribution

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Strategic Optimization and Demand Response for Thermal Load Management in Multi-Regional Integrated energy systems: A Stackelberg Game Approach

arXiv

引用

arXiv 2024年

作者： Yang, Ranran Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin132012 China

In the context of high fossil fuel consumption and inefficiency within China's energy systems, effective demand-side management is essential. This study examines the thermal characteristics of various building types across different functional areas, utilizing the concept of body coefficient to integrate their unique structural and energy use traits into a demand response framework supported by real-time pricing. We developed a Stackelberg game-based bi-level optimization model that captures the dynamic interplay of costs and benefits between integrated energy providers and users. This model is formulated into a Mixed Integer Linear Programming (MILP) problem using Karush-Kuhn-Tucker (KKT) conditions and linearized with the Big M method, subsequently solved using MATLAB and CPLEX. This approach enables distinctive management of heating loads in public and residential areas, optimizing energy efficiency while balancing the interests of both providers and users. Furthermore, the study explores how the proportion of different area types affects the potential for reducing heat loads, providing insights into the scalability and effectiveness of demand response strategies in integrated energy systems. This analysis not only highlights the economic benefits of such strategies but also their potential in reducing dependency on traditional energy sources, thus contributing to more sustainable energy system practices. © 2024, CC BY-NC-ND.

关键词： Demand response

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