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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Zhang, Xiuping Wang, Mingqiang Wang, Mengxia Jing, Linguo Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Binzhou Power Supply Company Binzhou China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143033

The high penetration level of wind power aggravates the peak regulation difficulty of power systems, and the traditional peak regulation approach may not be able to account for the rapid fluctuation of net load. In this paper, a new unit commitment model is proposed in which the regular peak regulation, deep peak regulation, and deep peak regulation with oil operation stages of units are considered. In order to effectively track the net load fluctuation, peak power regulation capacity and peak ramp regulation capability are scheduled to address the power capacity demand and ramp capability demand, respectively. The validity and effectiveness of the proposed model are illustrated by the case studies. © 2020 IEEE.

关键词： Wind power

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Cooperative control Strategy for Virtual Inertia Based on Fuzzy control

Cooperative Control Strategy for Virtual Inertia Based on Fu...

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IEEE International Conference on control Science and systems Engineering (CCSSE)

作者： Zhimin Gao Yongji Cao Hengxu Zhang Hao Qin Xiaoning Zhang Changgang Li Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China Department of Electrical Engineering Technical University of Denmark Kgs. Lyngby Denmark School of Control and Computer Engineering North China Electric Power University Beijing China

The large-scale integration of renewable energies brings about low inertia characteristics to the power system, and the frequency security faces greater challenges. The existing inertia research lacks the synergy between different types of inertia sources and different control methods, and the inertia response capability of power system still can be improved. In this paper, with the aim of proposing a virtual inertia cooperative control strategy for the power system with high penetration of renewable energies, we analyze the virtual inertia mechanisms of wind power, PV units and energy storage system (ESS), and propose control methods for wind power and PV units to participate in inertia response. Considering the reason of limited inertia response capability of renewable energy units, the fuzzy control is used to make the ESS participate in inertia compensation to improve the frequency response capability. Finally, case study is carried out to verified the effectiveness of the proposed control strategy.

关键词： Renewable energy sources Fuzzy control Rotors Wind power generation power system stability Synchronization Security

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A Novel Non-unit Frequency-Based Line Protection Scheme for Flexible DC Grids

A Novel Non-unit Frequency-Based Line Protection Scheme for ...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Zhang, Yunqi Cong, Wei Zhang, Yuxi Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Liangshan Power Supply Company Liangshan China

ISBN: (纸本)9781728143033

To address the problems still existing in line protection for flexible DC grids currently, this paper proposes a non-unit frequency-based line protection scheme for flexible DC grids. Firstly, the values of the initial voltage traveling waves (IVTWs) generated by the fault point under internal and external faults are respectively calculated based on the equivalent model of the four-terminal flexible DC grid. Due to the boundary effect of the current limiting inductors on both ends of DC lines, the attenuation rates of the IVTWs with the increase of frequency under internal and external faults have different characteristics. The detail coefficients of the IVTW in different frequency bands are extracted by stationary wavelet transform at different scales, and the amplitudes of the IVTW in different frequency bands are expressed by wavelet transform modulus maximums (WTMMs). A criterion to identify internal and external faults is constructed based on the square of the frequency-domain equivalent attenuation rate of the IVTW. Lastly, simulation results under diverse fault conditions validate the availability of the proposed protection method. © 2020 IEEE.

关键词： Wavelet transforms

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Preventive control optimization of Commutation Failure Based

Preventive Control optimization of Commutation Failure Based

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Li, Li Lin, Qirong Qu, Hanbing Liu, Bo Zhu, Yuanzhen Li, Changgang State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781728143033

In the hybrid AC/DC systems, AC system failures may cause the commutation failure of DC system, which will lead to DC blocking and affect the safety and stability of the system. This paper proposes a reactive power optimization method to reduce the risk of system commutation failure. This method aims at minimizing the amount of reactive power control and the number of failure nodes that trigger commutation failure, which takes into account steady-state safety constraints and optimizes generator reactive power output and reactive power compensation capacity. Aiming at this multi-objective optimization problem, an improved particle swarm optimization (PSO) algorithm with parameter adaptation is proposed. When calculating the particle fitness value, a surrogate model based on the support vector machine (SVM) to evaluate the commutation failure is used to replace the time-domain simulation to improve the particle fitness value calculation speed. An example of a provincial power grid is used to verify the effectiveness and rapidity of the proposed optimization method. © 2020 IEEE.

关键词： Support vector machines

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Dynamic Economic dispatch Considering Transmission-Distribution Coordination and Automatic Regulation effect of Transmission system

Dynamic Economic Dispatch Considering Transmission-Distribut...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Wu, Yuqian Wang, Mingqiang Wang, Mengxia Jing, Linguo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Binzhou Power Supply Company Binzhou China

ISBN: (纸本)9781728143033

With the increase of proportion of renewable energy, the uncertainty in power system is significantly increased, and the security operation of power system is facing more challenges. In traditional economic dispatch model, the unit output and load are expressed by constant power, which ignores the automatic regulation effect during system operation. And the transmission system and distribution system are separated optimized, the coordination effect is not considered. In this paper, a new dynamic economic dispatch model is proposed and the automatic regulation effect and transmission-distribution coordination are considered, which can improve the renewable energy accommodation and enhance the system operation security and economics. The validity and effectiveness of the proposed model are illustrated by case studies. © 2020 IEEE.

关键词： Renewable energy resources

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Short-term Voltage Stability Assessment of AC/DC power Grid based on SDAE and ADAM Algorithms

Short-term Voltage Stability Assessment of AC/DC Power Grid ...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Li, Li Lin, Qirong Qu, Hanbing Liu, Bo Zhu, Yuanzhen Li, Changgang Lui, Yutian State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781728143033

With the development of HVDC transmission and changes of load composition and characteristics, the short-term voltage problem seriously threatens the safety and stable operation of power systems. A short-term voltage stability assessment method based on deep learning neural network for AC/DC receiving-end power grid is proposed in this paper. The stacked denoising autoencoder (SDAE) and adaptive moment estimation (ADAM) algorithms are used to build a rapid evaluation model, and the training sample set is used to train the transient voltage stability rapid evaluation model. The steady-state power flow features are used as inputs and an index of quantifying short-term voltage stability of commutation bus is utilized as the output. Simulation results of real multi-infeed AC/DC power grid demonstrate the effectiveness of the proposed method. © 2020 IEEE.

关键词： Electric load flow

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A Linear Programming Approximation of Distributionally Robust Chance-Constrained dispatch With Wasserstein Distance

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IEEE TRANSACTIONS ON power systemS 2020年第5期35卷 3366-3377页

作者： Zhou, Anping Yang, Ming Wang, Mingqiang Zhang, Yuming Elect Power Res Inst China Southern Power Grid Guangzhou 510663 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Shandong Univ Sci & Technol Qingdao 266590 Peoples R China

This paper proposes a data-driven distributionally robust chance constrained real-time dispatch (DRCC-RTD) considering renewable generation forecasting errors. The proposed DRCC-RTD model minimizes the expected quadratic cost function and guarantees that the two-sided chance constraints are satisfied for any distribution in the ambiguity set. The Wasserstein-distance-based ambiguity set, which is a family of distributions centered at an empirical distribution, is employed to hedge against data perturbations. By applying the reformulation linearization technique (RLT) to relax the quadratic constraints of the worst-case costs and constructing linear reformulations of the DRCCs, the proposed DRCC-RTD model is cast into a deterministic linear programming (LP) problem, which can be solved efficiently by off-the-shelf solvers. Case studies are carried out on a 6-bus system and the IEEE 118-bus system to validate the effectiveness and efficiency of the proposed approach.

关键词： Uncertainty Generators Wind power generation Robustness power systems Wind forecasting Capacity planning Chance constraints distributionally robust optimization real-time dispatch reformulation linearization technique Wasserstein distance

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Forecast of power Grid Asset Investment and Production Cost Based on Regression Analysis

Forecast of Power Grid Asset Investment and Production Cost ...

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Sustainable power and Energy Conference (iSPEC)

作者： Yue Ma Xiaodong Chu Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University jinan P.R. china

ISBN: (纸本)9781665414401

During the past 13th Five-Year Plan period, China’s power grid development has made major achievements that proportion of new energy power generation has continued to increase, and major breakthroughs have been made in power electronic technology and high-voltage direct current transmission. With the continuous applications of new technologies in the power system, transmission and distribution losses are reduced, operation efficiency of power grid is significantly improved in order to adapt to the new changes in the power grid, power grid asset investment (PGAI) and production cost (PC) have also shown a new trend along with the development of the power grid. Predicting the PGAI and PC of modern power grids is of great significance for power grid asset management, development trend forecasting and investment decision-making. A forecast method is proposed for PGAI and PC based on regression analysis in this paper. The case study results of a provincial power grid verify the effectiveness of proposed forecast method.

关键词： Technological innovation Costs Production Companies Market research power grids Regression analysis

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Transient Frequency Security Preventive control Optimization based on A3C

Transient Frequency Security Preventive Control Optimization...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Yang, Dong Wang, Liang Li, Huarui Ma, Huan Zhang, Pengfei Zhang, Hengxu Li, Changgang Electric Power Research Institute State Grid Shandong Electric Power Company Jinan China Dispatch and Control Center State Grid Shandong Electrical Power Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781728143033

Loss of massive generation caused by HVDC blocking or tripping of large power plants is a severe threat to frequency security. Only taking emergency control measures after the accident may lead to a large number of loads being cut off. Therefore, preventive control for transient frequency security is considered in this paper except the emergency control. In preventive control, new units are turned on to increase the system's spinning reserve. It's difficult to decide which units to turn on to reduce preventive control costs with regular optimization methods. In order to solve this problem, the reinforcement learning Asynchronous Advantage Actor-critic (A3C) method is applied in this paper. Firstly, Markov Chain is used to model the wind power time sequences. Then A3C is used to optimize the preventive control strategy at different time internals. A simplified provincial power system of China is adopted to verify the validity of the proposed optimization method. © 2020 IEEE.

关键词： Wind power

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Condition-based midterm maintenance scheduling with rescheduling strategy

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2020年第0期118卷 105796-000页

作者： Xu, Yijing Han, Xueshan Yang, Ming Wang, Mingqiang Zhu, Xingxu Zhang, Yumin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Shandong Peoples R China Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Shandong Peoples R China

This paper proposes a condition-based midterm maintenance scheduling with rescheduling strategy. Different from existing methods, the prescheduled maintenance tasks in the proposed method can be rescheduled according to the updated information received from asset condition monitors. To realize the rescheduling strategy, a new decision variable called time-varying maintenance threshold is introduced in the optimization model. When the state measurement of a device is identified to reach the time-varying maintenance threshold, the prescheduled maintenance task should be executed ahead of time to prevent failures. In the proposed method: (1) a stochastic degradation process considering the prescheduled maintenance tasks and the rescheduling strategy is expressed;(2) an optimization model is formulated to minimize the sum of the individual operating risk and the system operating risk through co-optimizing prescheduled maintenance tasks and time-varying maintenance thresholds;(3) a decomposition algorithm is designed to solve the optimization model. Case studies are presented to demonstrate the validity and significant operating risk reduction of the proposed method.

关键词： Condition-based midterm maintenance scheduling Operating risk quantification Outage model Rescheduling strategy Time-varying maintenance threshold

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