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2017 IEEE Conference on energy Internet and energy system Integration, EI2 2017

作者： Yu, Jing Shen, Xinwei Sheng, Tongtian Sun, Hongbin Xiong, Wen Tang, Lei Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China Guangzhou Power Grid Company Guangzhou China Beijing Qingda Gaoke System Control Company Beijing China

ISBN: (纸本)9781538614273

The strong coupling of electricity and heat of combined heat and power (CHP) unit in cold season results in the loss of flexibility, which may cause massive wind power curtailment if they are in the same system. This issue could be handled with the thermal storage capability of a district heating network (DHN) that could supply flexibility for CHP to decouple the strong coupling of heat and electric power supplies. In this paper, a wind-CHP generation aggregation(WCGA) model is formulated, which motivates CHP to increase wind power integration by increasing total profit of the system, while considering the additional flexibility supplied by DHN. In WCGA model, DHN is formulated as an energy-storage-like (ESL) model that considers the storage capability of DHN based on dynamic characteristics of temperature and time delay effect of DHN. The potential benefits of the proposed model have been demonstrated by case study in terms of enhancing, wind power integration as well as total profit. © 2017 IEEE.

关键词： District heating

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Multi-objecive LPV control of wind energy conversion system under wide-scale operating conditions 8

Multi-objecive LPV control of wind energy conversion system ...

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8th renewable power Generation Conference, RPG 2019

作者： Qu, Chenzhi Lin, Zhongwei Xie, Zhen Li, Yilin Zhang, Shangang Li, Xiongwei Duan, Zhenqing State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China New Energy Co. Ltd Jinan250099 China Guodian New Energy Technology Research Institute Co. Ltd Beijing102209 China

ISBN: (纸本)9781839531255

Wind energy conversion system (WECS) is essentially a time-varying system with high nonlinear characteristics, which leads to the difficulty of guaranteeing the control performance in a wide-scale operating conditions for the conventional linear control strategies. In this paper, a linear-parameter-varying (LPV) gain-scheduled controller is proposed for variable-speed-variable-pitch wind turbines above rated wind speed, which improves both steady- and dynamic-response performances under wide-scale operating conditions. Firstly, the H2/H∞ technique is adopted to reduce the rated power tracking errors, while enhancing the robustness against high-frequency turbulence. Secondly, the regional pole placement technique is applied on WECS, which builds the connections to the dynamic response performance. To verify the effectiveness of the proposed method, the simulation is implemented on the NREL 5 MW wind turbine, which is compared with the conventional local linear control strategy with a full analysis on the related performances. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Wind power

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Multi-objective optimization of wind turbine via controllers coordination and sensitivity analysis 8

Multi-objective optimization of wind turbine via controllers...

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8th renewable power Generation Conference, RPG 2019

作者： Chen, Zhenyu Lin, Zhongwei Wang, Chuanxi Han, Xiangyu Li, Gengda Hu, Feng Si, Zongming State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China Guodian New Energy Technology Research Institute Co. Ltd Beijing102209 China New Energy Co. Ltd Jinan250099 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

In this paper, a sensitivity-analysis-based wind turbine optimization strategy is introduced to improve the power output stability while reducing the shaft and tower loads. Both generator torque and blade pitch are controlled coordinately to achieve the optimization. During the wind turbine control process, blade pitch and generator torque are controlled proportionally to the generator speed tracking error, which simplifies the controller structure, thus, the wind turbine performance can be evaluated with control variables sensitivities directly. The wind turbine performance is considered in output power stability, shaft bending moment and tower bending moment. Both load parameters are analysed in fatigue damage lifetime. A conflicting relationship is realized between the load-power characteristic during the optimization, and a global coordination solution is selected on the pareto optimal frontier. Essential, this work is an exploration for the quantitative analysis from the wind turbine load performance to the control variables sensitivities directly without the limitation of controller forms. simulation results show the effectiveness of the proposed controller. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Multiobjective optimization

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Economic analysis of multi-energy virtual power plant considering market information

Economic analysis of multi-energy virtual power plant consid...

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2017 IEEE Conference on energy Internet and energy system Integration, EI2 2017

作者： Wang, Jiazhen Shen, Xinwei Guo, Qinglai Xiong, Wen Tang, Lei Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China Guangzhou Power Grid Company Guangzhou Lei Tang Beijing Qingda Gaoke System Control Company Beijing China Beijing Qingda Gaoke System Control Company Beijing China

ISBN: (纸本)9781538614273

Integrated energy system is beneficial for promoting the distributed renewable energy (DRE) consumption, thereby alleviating environmental pollution and energy shortage. In this paper, we propose a virtual power plant (VPP) structure considering the feature of heat and electric power system integration, which is defined as Multi-energy Virtual power Plant (MVPP). MVPP is allowed to participate in the electricity market;and price information from bulk power market can affect heating system through the coupling devices, thus optimizing the co-operation of electric and heat system. MVPP is also involved in the auxiliary service market, a penalty term is designed for the Utility to charge MVPP service fee so that power fluctuation on transmission line can be reduced. The case study proved the effectiveness of the penalty term and MVPP is able to provide reserve service for Utility in peak load hours by multi-energy flow coupling under the regulation of feed-in tariff. © 2017 IEEE.

关键词： Virtual power Plants

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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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Response-Based Synchronization Stability Analysis of Multi-Converter power systems 7

Response-Based Synchronization Stability Analysis of Multi-C...

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

作者： Zhou, Yuren Wang, Zihan Li, Gengyin Xia, Shiwei Zheng, Le Ma, Linlin Cheng, Dingyi Wang, Ting State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power Company Shandong China State Grid Shandong Electric Power Research Institute Power Grid Technology Center Shandong China

ISBN: (纸本)9798350345094

With the increasing integration of renewable energy into the power grid, the application of converters in the electrical systems has grown significantly. Due to the nonlinearity, the complexity and the difficult availability of the system models, traditional methods of synchronization stability analysis have revealed limitations and challenges when confronted with modern power systems. Additionally, the prevalence of grid-following converters in the grid leads to a shortage of voltage sources within the system, significantly increasing the risk of grid instability. This paper addresses the issue of synchronization stability analysis of multi-converter power systems, and proposes a response-based method to assess the synchronization stability level of the entire system. Through an analysis of the synchronization stability mechanism of grid-forming converters, a relationship is established between electromotive force, power angle, and node voltages. A quantitative stability evaluation of the system is achieved using the sBTTC index. Case studies show that the proposed response-based method is effective to analyze the synchronization stability of multi-converter power systems, with great practical viability in engineering applications. © 2023 IEEE.

关键词： Electric power system stability

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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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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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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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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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