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SSRN 2024年

作者： Yang, Dongfeng Wang, Xi Sun, Yong Yang, Jingying Liu, Xiaojun Jiang, Chao Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Jilin Electric Power Co. Ltd Changchun130000 China

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from networking to a hydrogen-fuel-cell supply. This mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-flow-subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy-storage-plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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Short-term power load forecasting method based on CNN-SAEDN-Res

arXiv

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arXiv 2023年

作者： Cui, Yang Zhu, Han Wang, Yijian Zhang, Lu Li, Yang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China College of Information and Electrical Engineering China Agricultural University Beijing100083 China

In deep learning, the load data with non-temporal factors are difficult to process by sequence models. This problem results in insufficient precision of the prediction. Therefore, a short-term load forecasting method based on convolutional neural network (CNN), self-attention encoder-decoder network (SAEDN) and resi- dual-refinement (Res) is proposed. In this method, feature extraction module is composed of a two-dimensional convolutional neural network, which is used to mine the local correlation between data and obtain high-dimensional data features. The initial load fore-casting module consists of a self-attention encoder-decoder network and a feedforward neural network (FFN). The module utilizes self-attention mechanisms to encode high-dimensional features. This operation can obtain the global correlation between data. Therefore, the model is able to retain important information based on the coupling relationship between the data in data mixed with non-time series factors. Then, self-attention decoding is per-formed and the feedforward neural network is used to regression initial load. This paper introduces the residual mechanism to build the load optimization module. The module generates residual load values to optimize the initial load. The simulation results show that the proposed load forecasting method has advantages in terms of prediction accuracy and prediction stability. Copyright © 2023, The Authors. All rights reserved.

关键词： Convolutional neural networks

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Statistical Feasibility Robust Optimization for Hydrogen-Data Center Microgrid Operation

SSRN

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SSRN 2024年

作者： Duan, Juntao Li, Yuanzheng Li, Yang Liu, Zhiwei Zhao, Yong School of Artificial Intelligence and Automation Key Laboratory on Image Information Processing and Intelligent Control of Ministry of Education Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

The increasing processing demands of information technology (IT) workloads cause the booming of data centers (DCs) in recent years. The servers in the DC emit much heat when processing the IT workloads and thus the DC temperature rises. The power consumption when controlling the DC temperature using the air conditioning (A/C) of the DC is high, which leads to expensive power bills. To reduce the power cost, using renewable energy (RE) to power DC has raised much attention in recent years. However, the intermittency of RE and the uncertainties of outside temperature pose operational challenges. Therefore, in this paper, a data-driven statistical-feasibility-based robust rolling optimization framework for the operation of hydrogen-DC microgrid (H2-DCMG) is proposed to control the DC temperature considering these uncertainties and the intermittency of RE. In the framework, the hydrogen energy storage system (HESS) is introduced to deal with the intermittency of RE, and robust optimization (RO) is adopted to deal with the uncertainty of outside temperature. The statistical feasibility is introduced into the framework to decrease the conservatism of RO, through relaxing the DC temperature constraints without harming normal DC operations. Moreover, we propose the Statistical-Guarantee-based Vertex Link (SGVL) algorithm to construct a polyhedron uncertain set of outside temperatures that can ensure the results of dispatch are economical and satisfy statistical feasibility. The constructed polyhedron uncertain set is linear, which reduces computational complexity in solving. A case study based on the real-world temperature dataset verifies the superiority of the SGVL algorithm on the aspect of the economic cost. It further validates the effectiveness of the proposed robust optimization framework for DC temperature control. © 2024, The Authors. All rights reserved.

关键词： Air conditioning

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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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International Conference on power system technology (powerCON)

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

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.

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Optimal Scheduling of Pumped Storage power Station with Double-Fed Variable Speed Unit Based on Reservoir Regional Operation Strategy

Optimal Scheduling of Pumped Storage Power Station with Doub...

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Communications technology and Computer Science (ACCTCS), Asia-Pacific Conference on

作者： Yuhan Ma Yining An Xiaohui Ge Bo Zhao State Grid Zhejiang Electric Power Co. Ltd. Research Institute Hangzhou Zhejiang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin Jilin China

ISBN: (数字)9798350359985

ISBN: (纸本)9798350359992

The conventional pumping unit lacks the ability to continuously adjust input power during pumping operations, and exhibits poor adaptability when integrating new energy sources into the grid. In this study, we propose a novel “domain operation” strategy that allocates resources based on real-time reservoir conditions across all levels of hydropower stations, while optimizing operations through the implementation of doubly fed units.

关键词： Computer science Fluctuations Costs Hydroelectric power generation Optimal scheduling Wind power generation Reservoirs

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Statistical Feasibility Robust Optimization for Hydrogen-Data Center Microgrid Operation

SSRN

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SSRN 2024年

关键词： Air conditioning

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Investigating the transient torque of turbo-generators in a power system integrating wind farms

Investigating the transient torque of turbo-generators in a ...

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8th renewable power Generation Conference (RPG 2019)

作者： Bowen Yang Gangui Yan Xiaorong Xie Yanhui Wang Jian Tang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing China State Grid East Mongolia Electric Power Supply Co. Ltd. Hohhot China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The renewable energy sources connected to the grid will cause the power system to oscillate and even affect neighbouring turbo-generators. For example, the wind turbines and their converter control systems may cause shaft torsional vibration in the steam turbine units, which affects the safety of the system. Therefore, it is of significance to investigate the transient torque of turbo-generators in a power system integrating wind farms. This paper takes a power plant in Inner Mongolia area of China as the case, the power of which is transmitted via the AC/DC hybrid power system with wind and thermal power. A typical equivalent system model of the wind-thermal-bundled access network is established firstly. Consider setting the fault on the line with series capacitor compensation and observe units' torque variation. Then the impact on sub-synchronous resonance (SSR) characteristics from many factors was investigated through the time-domain simulation, including the unit combination mode (including the long-term accessed DFIGs condition), the fault type and position, the system equivalent impedance, the fault starting/clearing time and the mechanical mutual damping coefficient of shafting, etc. Finally, the influence of each factor on transient torque is summarized, and the inner associations between the shaft torsional vibration in the turbo-generators and the converter-based wind turbines are clarified.

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Peaking Demand Analysis and Visualization simulation Platform Implementation of High Proportion of Wind power Infiltration Grid

Peaking Demand Analysis and Visualization Simulation Platfor...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Xiangyu Lv Dexin Li Junhui Li Changxing Ge Chunguang Tian Jiarui Wang Gangui Yan State Grid Jilin Electric Power Co. Ltd. Electric Power Research Institute Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education(Northeast Electric Power University) Jilin China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

This paper proposes a analysis method of peak shaving demand for power grid, and analyzes the impact of wind power grid connection on power system peak shaving under different wind power permeability, and analysis the operational characteristics of energy storage assisted peak shaving to compare different energy storage systems. Finally, in order to facilitate the implementation and observation of the analysis results, a visual simulation platform was built. The results of the example show that the method described in this paper can accurately analyze the peaking shaving demand under different wind power permeability. At the same time, the total yield of lithium iron phosphate battery is the highest in the choice of energy storage type, which is 497 million yuan/year. All-vanadium redox flow batteries may benefit more than lithium iron phosphate batteries in the future due to battery characteristics. Finally, the visualization platform is true and effective and can fully express the method described in this paper.

关键词： Wind power generation Batteries Permeability power grids Lithium

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Optimal capacity allocation method of energy storage system for increasing wind power integration

Optimal capacity allocation method of energy storage system ...

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International Conference on power Electronics and Motion control (IPEMC)

作者： Dexin Li Xiangyu Lv Junhui Li Pengcheng Yue Chunguang Tian Jiarui Wang Changxing Ge Gangui Yan Electric Power Research Institute State Grid Jilin Electric Power Co. Ltd. Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (数字)9781728153018

ISBN: (纸本)9781728153025

This paper comprehensively needs to investigate the cost of energy storage system (ESS), the cost of equivalent charging and discharging, the economic benefits, and other factors to consider, aiming at comprehensive benefit maximization, setting the operation mode and configuration method of wind farm ESS when adapting to wind power generation capacity. Taking 2017 restricted wind farms in northeast China as an example, the ESS configuration method proposed in this paper can improve the degree of wind power integration. The example shows that the optimal configuration of ESS is closely related to the wind farm power fluctuation characteristics, the degree of limitation and the ESS cost. When too much capacity is allocated, the ESS is no longer economical.

关键词： Economics Vanadium Wind power generation Wind farms power electronics Resource management Motion control

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Economic Dispatch of Microgrid Generation-Load-Storage Based on Dynamic Multi-Level Game of Multiple Stakeholders

SSRN

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SSRN 2024年

作者： Mao, Yang Jinxin, Wang Xudong, Cao Dake, Gu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China State Grid Changchun Power Supply Company Jilin Province Changchun130021 China

This paper establishes a dynamic multi-level game model based on multiple stakeholders such as microgrid, power grid, and users. Delineating the market functions of energy storage, considering the full life cycle investment and construction costs, leasing costs, and peak shaving ancillary service revenue, establish a net income model for energy storage investor. In the upper level, with energy storage investment companies as leaders and microgrid as followers, establish a master-slave game model for optimizing energy storage leasing prices, and formulate leasing strategies for energy storage. In the lower level, with microgrid operator as leaders and users as followers, a master-slave game model is established to devise scheduling strategies for microgrid and determine optimal electricity prices. The proposed model solves a multi-multi-level programming problem and presents a hybrid multi-strategy improved whale optimization algorithm based on simulated annealing, combined with the theory of fixed points to iteratively solve the optimization problems of the upper and lower levels until a converged optimal solution at the fixed point is obtained. Finally, through case studies, it is verified that the operational mode of energy storage as a market entity can bring higher economic benefits to multiple stakeholders such as microgrid and users. © 2024, The Authors. All rights reserved.

关键词： Iterative methods

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