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Flexibility improvement evaluation of hydrogen storage based on electricity-hydrogen coupled energy model

Global Energy Interconnection 2021年第4期4卷 371-383页

作者： Chen Jin Jinyu Xiao Jinming Hou Xiaoqing Wu Jinxuan Zhang Ershun Du Global Energy Interconnection Group Co. Ltd.Beijing 100031P.R.China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan 250061P.R.China Laboratory of Low Carbon Energy Tsinghua UniversityBeijing 100084P.R.China

To achieve carbon neutrality by 2060,decarbonization in the energy sector is *** is expected to be vital for achieving the aim of carbon neutrality for two reasons:use of power-to-hydrogen(P2H)can avoid carbon emissions from hydrogen production,which is traditionally performed using fossil fuels;Hydrogen from P2H can be stored for long durations in large scales and then delivered as industrial raw material or fed back to the power system depending on the *** this study,we focus on the analysis and evaluation of hydrogen value in terms of improvement in the flexibility of the energy system,particularly that derived from hydrogen *** electricity-hydrogen coupled energy model is proposed to realize the hourly-level operation simulation and capacity planning optimization aiming at the lowest cost of *** on this model and considering Northwest China as the region of study,the potential of improvement in the flexibility of hydrogen storage is determined through optimization calculations in a series of study cases with various hydrogen demand *** results of the quantitative calculations prove that effective hydrogen storage can improve the system flexibility by promoting the energy demand balance over a long term,contributing toward reducing the investment cost of both generators and battery storage and thus the total energy *** advantage can be further improved when the hydrogen demand ***,a cost reduction by 20%is required for hydrogen-related technologies to initiate hydrogen storage as long-term energy storage for power *** study provides a suggestion and reference for the advancement and planning of hydrogen storage development in regions with rich sources of renewable energy.

关键词： Hydrogen storage Electricity-hydrogen coupling Optimization model power-to-Hydrogen Carbon neutrality

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The Thevenin equivalent based power flow method for integrated transmission and radial distribution networks

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2020年 123卷 106294-106294页

作者： Yang, Jierui Yun, Zhihao Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

With the large-scale integration of distributed generations into distribution networks (DNs), collaborative analysis for integrated transmission and distribution (T&D) networks is increasingly important. The fast collaborative power flow method with good convergence plays an important role in the real-time security analysis and off-line planning design for the T&D networks. The master-slave-splitting (MSS) method, a representative power flow method for integrated T&D networks, has more iterations and worse convergence when radial distribution networks (RDNs) have heavy loads, which hinders the analysis and decision-making for coordinated transmission and radial distribution (T&RD) networks. Therefore, this paper deduces theoretically the reason for the MSS method performance deterioration under heavy loads conditions in RDNs, and explore the improvement idea firstly. Then based on the improvement idea, the Thevenin equivalent based power flow (TEBPF) method for integrated T&RD networks is proposed. Known from the theoretical analysis, the TEBPF method can guarantee better convergence and less iterations in the heavily loaded RDNs compared with the MSS method. Simulation results demonstrate the effectiveness of the method proposed and the correctness of the deduction.

关键词： Integrated transmission and distribution power flow Convergence analysis Radial distribution network

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Hierarchical reserve allocation with air conditioning loads considering lock time using Benders decomposition

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2019年 110卷 293-308页

作者： Cheng, Dingyi Zhang, Wen Wang, Kai Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China State Grid Jibei Elect Power Co Ltd Dispatch Ctr Beijing 100054 Peoples R China

With the integration of more and more renewable energy in the power system, more reserves are needed to cope with the intermittent and stochastic characteristics of the renewable energy. To relieve the stress of the reserve supply by the generation side, air conditioning loads can be considered to participate in reserve allocation in dynamic economic dispatch owing to their high proportion in the demand and thermal energy storage characteristics. The lock time of air conditioners should not be ignored since it can avoid the short cycling of compressor. This paper proposes a hierarchical reserve allocation model with air conditioning loads considering lock time to coordinate the power system dispatch and the control of air conditioning loads. An aggregate model of air conditioning loads considering the lock time is proposed and linear constraints of the air conditioning loads are developed. Among these constraints, lockout constraints are linear slack constraints for convenient in computation and the validity of the slack form has been proved. These constraints are integrated into the reserve allocation in dynamic economic dispatch. In such a state, the problem has multi-time scale characteristics and thus, is difficult to solve;therefore, this problem is reconstructed as a three-level hierarchical problem, and Benders decomposition is applied. The first level (operation level) represents the operation of the power system in normal conditions. Each N-1 contingency is placed in the second level (contingency level). The third level (load control level) considers the constraints of the air conditioning loads. To increase the calculation efficiency, we propose three methods, which are adding necessary conditions, adjusting upper bound and applying parallel computing. The simulation results show that air conditioning loads can realize load reserve, and the proposed hierarchical solving method is effective to solve the reserve allocation problem with air conditioning loads

关键词： Air conditioning loads Lock time Reserve allocation Hierarchical Benders decomposition

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A Deep Reinforcement Learning Based control Strategy for Combined Wind Energy Storage system

A Deep Reinforcement Learning Based Control Strategy for Com...

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Sustainable power and Energy Conference (iSPEC)

作者： Guangwei Xiang Ming Yang Shiying Huang Guangyuan Yu Aihui Yin Xiao Liu Heilongjiang Electric Power Company State Grid Corporation of China Harbin China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Shandong Electric Power Company State Grid Corporation of China Jinan China

ISBN: (纸本)9781665414401

For renewable energy producers, the uncertainties of power generation and time-varying electricity prices may lead to economic losses. This paper proposes a deep reinforcement learning (DRL) based control model combined energy storage system (ESS) to maximize the income of the wind power producer. It is able to adapt the uncertainties by itself that can avoid the errors caused by modeling the uncertainties. It can also learn and improve the strategy based on feedbacks got by the mechanism of interacting with the environment. Moreover, Rainbow, an improved DRL algorithm, is introduced to formulate the optimal model. Finally, the effectiveness of the proposed model is verified based on the wind farm located in Jiangsu, China.

关键词： Adaptation models Renewable energy sources Uncertainty Wind energy Heuristic algorithms Reinforcement learning Wind power generation

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Evaluation Method of Static Voltage Stability in Multi-infeed HVDC system during power system Restoration

Evaluation Method of Static Voltage Stability in Multi-infee...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Hongyu Ai Hongtao Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9781728152813

ISBN: (纸本)9781728152820

Considering the coordination of restoration path selection and power recovery control, this paper proposes a static voltage stability evaluation method for multi-infeed HVDC (MIDC) system. Firstly, a multi-infeed comprehensive short circuit ratio (MISCR) index is applied to evaluate the voltage stability at the converter bus. The continuous power flow method is used to evaluate the static voltage stability margin of other AC nodes, which can not only be used as the safety constraint of power recovery, but also give the weak nodes of the system and guide the power recovery control. Then, the influence of restoration path on HVDC support capability is studied, a multi-infeed short circuit ratio offset (MSCRO) index is proposed to optimize the restoration path. When the restoration path is determined, MISCR can be used to calculate the maximum DC power that can be accessed and the voltage stability margin is obtained by continuous power flow method. Therefore, the purpose of making use of DC power to speed up the recovery process and ensure the safety of recovery is achieved. The IEEE 39 buses test system is taken as an example to verify the feasibility and effectiveness of the proposed method.

关键词：

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Analysis of Subsynchronous Oscillation Caused by Integration of New Wind Farm via MMC-HVDC

Analysis of Subsynchronous Oscillation Caused by Integration...

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

作者： Xi Zhang Hua Ye Bin Qi Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

The integration of new wind farm via modular multilevel converter based high-voltage direct current (MMC-HVDC) will lead to subsynchoronous oscillation (SSO). The SSO will activate the protection of MMC-HVDC, and then the whole system will shut down. In order to address this problem, the propagation and distribution of SSO in the whole system are derived. First, the model of wind farms integrated into the power grid through MMC-HVDC is established. Second, the characteristics of SSO caused by the integration of new wind farm is analyzed. The process of propagation of SSO from wind farms to MMC-HVDC is derived. By calculating the instantaneous power of the MMC bridge arms, the frequencies of SSO components present in the system are calculated. The SSO components frequency relationship among wind farm, MMC-HVDC and power grid is revealed. Finally, the correctness of the theoretical analysis is validated by time-domain simulations.

关键词： Wind farms Industrial power systems Asia Conferences Bridges

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Solar power Ramp Event Forewarning With Limited Historical Observations

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2019年第6期55卷 5621-5630页

作者： Zhu, Wenli Zhang, Li Yang, Ming Wang, Bo Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250000 Shandong Peoples R China China Elect Power Res Inst Grade Key Lab Operat & Control Renewable Energy & Beijing 100192 Peoples R China

Timely and accurate forewarning of solar power ramp events (SPREs) is crucial for a power system operation. In this article, a novel forewarning method for SPREs is proposed based on credal network (CN) and imprecise Dirichlet model (IDM). A new expression of SPRE is proposed, which focuses on the power change caused by meteorological fluctuation. Considering that the single-valued probability may not provide convincing results in case of insufficient ramp event records, probability interval is adopted to reflect the ambiguous correlation between SPREs and meteorological conditions. The meteorological evidences are mapped to ramp events by a CN to enhance the sensitivity of SPRE identification. The structure of the CN is established by the learning algorithm with respect to the relations between SPRE and meteorological conditions, as well as different meteorological conditions. Furthermore, an extended IDM is developed to estimate the interval-valued parameters in the CN. Then, a credal classifier is established to output the ramp forewarning result. The effectiveness of the proposed method is verified through case studies, and obvious improvement on the accuracy of ramp forewarning can be seen.

关键词： Conditional probability credal classification credal network (CN) forecast model imprecise Dirichlet model (IDM) imprecise probability ramp detection ramp forewarning ramp rate solar power ramp event (SPRE)

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On-line Discrimination Method of Current Transformer's Polarity Using Line No-load Closing Impulse Current 8

On-line Discrimination Method of Current Transformer's Polar...

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8th IEEE International Conference on Advanced power system Automation and Protection, APAP 2019

作者： Zhang, Yunqi Cong, Wei Hu, Liangliang Zhang, Liqiang Shangdong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781728117225

An on-line method using no-load closing impulse current of the line to discriminate CT's polarity is proposed in this paper. No-load closing model for the single-phase transmission line is established firstly, and the mathematical relationship between electrical quantities and line parameters during closing process is described by differential equations. Line parameters such as the inductance or resistance are regarded as unknown quantities, and the characteristics of their values are analyzed when solving the differential equations under different CT polarities. Then the calculation values are normalized. In order to quantify the distribution characteristics of normalized equivalent values, define the forward and backward coefficients. According to the ratio of these two coefficients, namely recognition coefficient, CT's polarity in single-phase system can be discriminated. On this basis, CTs' polarities in three-phase system can be discriminated by different phase-mode transformations with specific matrixes. Finally, the effectiveness of the method is verified by simulation. © 2019 IEEE.

关键词： Electric instrument transformers

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Implementation of Vector Oriented control of DFIG based on FPGA

Implementation of Vector Oriented Control of DFIG based on F...

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IEEE International Conference on power and Energy Applications (ICPEA)

作者： Zelin Wang Haoran Zhao Bing Li Shuning Gao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9781728190297

ISBN: (纸本)9781728190303

control strategy is indispensable in the use of doubly fed induction generator (DFIG). Vector oriented control (VOC) is a control strategy that has been tested by many scholars in DFIG on software. Field-Programmable Gate Array (FPGA), with the powerful capability of parallel computing and satisfying clocking frequency up to 200MHz, has widely applications in the high-speed data processing. Moreover, system Generator, as a tool developed by Xilinx, is a Simulink-based toolkit for FPGA developers. Thus, this paper implements VOC on FPGA by using system Generator. The simulation result shows that FPGA works well on VOC under the clocking frequency of 100MHz. This research solves the timing problem of loop design in system Generator and lays the foundation of real-time simulation of DFIG.

关键词： Field programmable gate arrays Software packages Phase locked loops Generators Doubly fed induction generators Timing Clocks

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Probablistic Stability Analysis of power system with Random Delay Based on Series Theory

Probablistic Stability Analysis of Power System with Random ...

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Sustainable power and Energy Conference (iSPEC)

作者： Gao Shuqun Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Jinan China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

Time delay is inevitably introduced into the power system in wide-area measurement, which is random and undeterminable in nature. This paper proposes a novel method of probabilistic stability analysis of power system with random time delay, aiming at the eigenvalue analysis of power system with random time delay. Firstly, the model of power system with time delay is established and the original eigenvalue calculation method is improved. Secondly, the Gram-Charlier series theory and Cornish-Fisher series theory are introduced, and the two random eigenvalue analysis methods based on series theories are respectively proposed, and the probability of small signal stability of random time-delay power system is obtained. The results of the 16-machine 68-node test system prove the effectiveness of proposed methods.

关键词： Delay effects power system stability Probabilistic logic Eigenvalues and eigenfunctions Stability analysis Time measurement Wide area measurements

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