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SSRN 2024年

作者： Jiang, Shouqi Du, Yanli Li, Guoqing Xin, Yechun Wang, Lixin Wang, Weiru The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

To improve the frequency stability of the LCC-HVDC sending-end system with high penetration of wind power the system and achieve optimal utilization of frequency regulation resources, a cooperative control strategy involving wind power and LCC-HVDC in frequency regulation is proposed. Firstly, under a variety of scenarios, the power support requirements of LCC-HVDC sending-end system are analyzed according to the power regulation margin of various frequency regulation resources and the disturbance power, and a multi-time scale frequency regulation control strategy for DFIG based wind farms is proposed, which combines the advantages of variable speed control and variable pitch angel control. And a cooperative control strategy of DFIG and LCC-HVDC considering the frequency regulation deadband is proposed. Then, based on the maximum power regulation margin of synchronous generators and wind farms, the key control parameters of relative control links are designed to enable them autonomously adjust the active power according to various scenarios to involve in inertia response and primary frequency regulation task. Finally, the effectiveness of the control strategy is verified by the simulation model of LCC-HVDC sending-end system with large-scale wind power, which significantly improves frequency stability. © 2024, The Authors. All rights reserved.

关键词： Frequency stability

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LOW CARBON OPTIMAL SCHEDULING OF INTEGRATED ENERGY system CONSIDERING WASTE HEAT UTILIZATION UNDER THE COORDINATED OPERATION OF INCINERATION POWER PLANT AND P2G

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arXiv 2024年

作者： Limeng, Wang Shuo, Wang Na, Wang Yuze, Ma Yang, Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin132012 China

In order to improve energy utilization and reduce carbon emissions, this paper presents a comprehensive energy system economic operation strategy of Incineration power plant Power-to-gas (P2G) with waste heat recovery. First, consider the coordinated operation of Incineration power plant - P2G, introduce the refined Power-to-gas two-stage operation process, add Hydrogen fuel cells on the basis of traditional Power-to-gas to reduce the energy ladder loss, and recycle the Methanation reaction heat;Secondly, in order to improve the energy utilization efficiency of Incineration, it is considered to install a waste heat recovery device containing a water source heat pump to recover the waste heat of flue gas and consume some electric energy, sourced from wind power, and add a CO2 separation device to combine the recovered CO2 with P2G to synthesize CH4 to achieve carbon recycling. Finally, within the framework of a tiered carbon trading mechanism an IES optimization model for electricity-heat with the goal of minimizing the system operating cost is constructed, and the GUROBI modeling optimization engine is used to solve this model. The results verify the effectiveness of the model. © 2024, CC BY-NC-ND.

关键词： Waste heat

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Heuristic Task Allocation Method for Heterogeneous Lunar Robots under Dynamic Resource Cost

Heuristic Task Allocation Method for Heterogeneous Lunar Rob...

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2024 IAF Space Operations Symposium at the 75th International Astronautical Congress, IAC 2024

作者： Xu, Rui Zhou, Junhui Li, Zhaoyu Zhu, Shengying Pan, Bo Zhao, Zhijun Yu, Dengyun School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration Ministry of Industry and Information Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering Beijing100094 China China Aerospace Science and Technology Corporation Beijing100048 China

ISBN: (纸本)9798331312183

China, in collaboration with multiple countries, is preparing to construct a long-term, independently operated international lunar research station on the surface of the moon in the coming years. The construction of an unmanned lunar research station requires the collaboration of diverse and heterogeneous lunar robots to successfully carry out missions. Task allocation for heterogeneous lunar robots is a crucial technical requirement, focusing on constructing evaluation matrix, designing optimization objective functions, and developing algorithms for optimization matching. The state changes during the execution of tasks by robots result in different resource costs for completing other task goals compared to the initial resource costs. Therefore, one of the major challenges in task allocation for multi-robot systems is effectively managing dynamic resource costs during the construction of evaluation matrix (and subsequent optimization based on the matrix). However, the current approach tends to calculate static cost without considering cost changes during task execution, which deviates from standard engineering practices. Instead, the primary contribution of this paper lies in designing a heuristic algorithm capable of optimizing task allocation outcomes while accounting for the dynamic changes in resource costs incurred during goal achievement. In this paper, we propose a heuristic task allocation method for heterogeneous lunar robots under dynamic resource cost. Given a multi-robot cooperative task, our method firstly constructs a task allocation model based on robotic capability and task resource consumption. Next, based on relaxation planning graph, the resource cost for each lunar rover to complete all task goals is calculated, and the cost of transitioning between different goal states is estimated (to efficiently update the resource cost of completing each goal as the lunar rover's state changes). Subsequently, the evaluation matrix is constructed. Then, a heu

关键词： Multipurpose robots

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Techno-Economic of Electric-Hydrogen-Ammonia Coupling in Mul-Ti-Scenario:Analysis of Seven Major Regions in China

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SSRN 2024年

作者： Kong, Lingguo Jia, Zhonghua Shi, Zhenyu Liu, Chuang Cai, Guowei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

This paper evaluates the techno-economic aspects of electric-hydrogen-ammonia coupling systems across China's seven major regions, aiming to provide strategic guidance for energy transition and carbon neutrality. The operation of each plant was simulated with 1-hour wind power data from each region, and a specific control strategy was introduced to control the energy flow, taking into account all the costs of the system, with the objective of minimizing the levelized cost of ammonia (LCOA), to analyze the economics and equipment configuration of wind-powered hydrogen synthesis ammonia plants in each region. It finds that the Northwest and Southwest regions, owing to their abundant wind resources and lower costs, are more suitable for establishing such facilities. The levelized prices of ammonia in these areas can reach RMB 6,844 per ton and RMB 6,663 per ton, respectively, indicating the potential for development of these plants. In contrast, the high costs of wind and grid electricity, along with fewer wind utilization hours in the South China region, lead to a levelized ammonia cost of RMB 11,215 per ton, suggesting the unsuitability of this region for developing the system. The results underscore the importance of selecting appropriate new energy technology pathways based on geographical and economic conditions, critical for optimizing the energy structure and achieving carbon neutrality goals. © 2024, The Authors. All rights reserved.

关键词： Ammonia

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Research on Risk Management of Petrochemical Supply Chain Based on Network Dynamic Evolution Model

Research on Risk Management of Petrochemical Supply Chain Ba...

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Chinese Intelligent Automation Conference, CIAC 2021

作者： Pan, Chang-chun Huang, Xiaohao Sun, Weiqi Key Laboratory of Navigation and Location Based Services Shanghai Jiao Tong University Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

ISBN: (纸本)9789811663710

This paper studies the quantitative measurement method of risk occurrence and possible spread among petrochemical supply chain enterprise nodes. Combined with the characteristics of petrochemical supply chain network, a risk propagation model of the supply chain based on cascading failure process is proposed, and a simulation experiment of risk propagation is carried out to investigate the different model parameters and different risk source enterprises on the communication process. According to experimental results, this paper puts forward targeted preventive measures to achieve the prevention and control of supply chain risk, which has important guiding significance for the regular operation of the petrochemical supply chain. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Risk management

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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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Optimal Scheduling of Multiple Energy Storage-Thermal Power Units under Electricity Market 4

Optimal Scheduling of Multiple Energy Storage-Thermal Power ...

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4th IEEE New Energy and Energy Storage system control Summit Forum, NEESSC 2024

作者： Li, Baoju Xu, Shuguang Fu, Jiyue Fu, Xiaobiao Wang, Yao Zhu, Xingxu Li, Cuiping Li, Junhui Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The Power Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China

ISBN: (纸本)9798350389012

Aiming at the increasing burden of power system peaking caused by the integration of large-scale new energy generation into the grid and the imperfect participation mechanisms for peaking entities in the power market, this paper proposes an optimal dispatch method for multiple storage and thermal power units. Firstly, to reduce the impact of the volatility of new energy generation on system peaking, the planned market trading power of new energy is optimally allocated with the goal of minimizing the net load on the grid. Secondly, a multi-storage lease transaction mechanism and an energy storage lease declaration model based on the whole life cycle cost are designed, and the charging and discharging power of individual storage units is optimized with the objective of maximizing revenue from multi-storage leasing. Finally, typical daily data are selected and simulated in the improved IEEE 30-bus system. The results show that the proposed method reduces the curtailment rate of new energy and effectively improves the economic efficiency of peaking for power market entities. © 2024 IEEE.

关键词： Charge storage

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A Bi-Level Real-Time Dispatch Strategy for Large-Scale Electric Vehicles into Smart Grid Based on an Improved Rolling Horizon Method

SSRN

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SSRN 2024年

作者： Wang, He Wang, Yao Bian, Jing Li, Guoqing Key Laboratory of Modern Power System Simulation and Control and New Green Electricity Technology Ministry of Education Northeast Electric Power University Jilin132012 China

The flexible energy storage characteristics of Electric vehicles (EVs) make them an important target for grid demand response. However, in the context of large-scale EVs into the grid, an important challenge currently is how to improve the accuracy of the V2G activity while taking into account the interests of both EVs and the grid. To address this problem, this paper proposes a bi-level real-time dispatch strategy based on an improved rolling horizon method (RHM). In the upper-level strategy, the relation between electricity price and power grid energy regulation demand is established by introducing a fixed base elasticity coefficient. An algorithm process is designed to find the relationship between the real-time price and the EVs load to be scheduled, to solve a real-time price that can maximize the income of the grid. In the lower-level strategy, the C&D schedule is developed for each EV to minimize the user cost, and the temporal scheduling constraint is ensured by grouping as well as parallel computing. simulation results show that the proposed real-time strategy effectively improves the accuracy of the V2G activity and increases profits for the grid and EVs. © 2024, The Authors. All rights reserved.

关键词： Vehicle-to-grid

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Nonlinear E-field simulation of HVDC Converter Transformer Busing and Its Structure Optimization With RBF Neural Network and NSGA-II Algorithm 13

Nonlinear E-field Simulation of HVDC Converter Transformer B...

引用

13th International Conference on Power and Energy systems, ICPES 2023

作者： He, Yongsheng Zhang, Shiling Lu, Zongxiang Wang, Pengbo State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute Chongqing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Haidian China Transmission Equipment and System Security and New Technology Dept Name of State Key Laboratory of Power Chongqing China

ISBN: (纸本)9798350345063

Static DC and PR are typical operation conditions of HVDC converter transformer bushing outlet device, moreover, the electrical parameters of RIP, transformer oil and OIP have the nonlinear relationship with E-field stress and temperature. Under the temperature gradient, the electrical parameters will modify the static DC and PR E-field distribution of the composite insulation. In order to simulate static DC and PR electric field of the composite insulation structure, this paper established the full model of the converter transformer outlet. Then, the structure parameters of converter transformer outlet have been optimized using combined RBF neural network and NSGA-II algorithm. Moreover, electric field verification calculation has been carried out under AC and PR conditions. The results show that under uniform temperature condition, E-field strength is larger than that under iso-thermal condition. The overshoot coefficient of the bushing end and barrier reach 65% and 45%, respectively. The study can provide reference for the design of outlet structure of the converter transformer. © 2023 IEEE.

关键词： DC transformers

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Cyber-Attack Risk Assessment and Prevention Strategy of Substations Based on Dynamic Attack and Defense Game 3

Cyber-Attack Risk Assessment and Prevention Strategy of Subs...

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3rd Power system and Green Energy Conference, PSGEC 2023

作者： Lin, Feng Mei, Yong Zhu, Yihua Chang, Dongxu Liu, Ren Guo, Hengdao China Southern Power Grid Power Dispatch and Control Center GuangZhou China Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc GuangZhou China Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&d Centre GuangZhou China China Southern Power Grid Csg Key Laboratory for Power System Simulation GuangZhou China Guangdong Provincial Key Laboratory of Intelligent Operation Control for New Energy Power System GuangZhou China

ISBN: (纸本)9798350340099

With the improvement of the informatization of the power system, the risk of cyber attack is also increasing. This paper proposes a risk assessment and prevention strategy for cyber attack against substations. Firstly, the cyber attack against substations are modeled based on the game theory of dynamic attack and defense. Secondly, an improved OPA (ORNL-PSERC-Alaska) model is utilized to analyze the cascade failure after cyber attacks and quantify the load loss of power system. Finally, a preventive strategy which can mitigate the expectation load loss caused by cyber attack against substations is put forward. simulation experiments were conducted to validate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Risk assessment

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