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IEEE-power-and-Energy-Society General Meeting (PESGM)

作者： Yi, Yu Chu, Xiaodong Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Shandong Peoples R China

ISBN: (纸本)9781538677032

With the amount of PV units, ESS units and other controllable resources increase, distribution grids are no longer just absorbing power and energy from transmission grids but get involved in the operation even help to sustain the stability of top level under heavy load. However, transmission and distribution grids usually operate from their own respective and it is difficult to coordinate the integrate systems with few information at the coupling point. In this paper, a reactive power coordination scheme is proposed to make a full use of the controllable resources in distribution grids to mitigate the power requirement and embody transmission grid as a role of strong supporter when need. Simulation results on a 30-bus connecting with three 33-bus system demonstrate the effectiveness and practicality of the proposed coordination scheme.

关键词： reactive power controllable resources coordinating optimization ADNs voltage support

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Optimal overcurrent relay coordination in distribution network based on Lightning Flash Algorithm

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ENGINEERING COMPUTATIONS 2018年第3期35卷 1140-1160页

作者： Kheshti, Mostafa Kang, Xiaoning Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Shandong Peoples R China Xi An Jiao Tong Univ Shaanxi Key Lab Smart Grid Xian Shaanxi Peoples R China

Purpose Distribution network protection is a complicated problem and mal-operation of the protective relays due to false settings make the operation of the network unreliable. Besides, obtaining proper settings could be very complicated. This paper aims to discuss an innovative evolutionary Lightning Flash Algorithm (LFA) which is developed for solving the relay coordination problems in distribution networks. The proposed method is inspired from the movements of cloud to ground lightning strikes in a thunderstorm phenomenon. LFA is applied on three case study systems including ring, interconnected and radial distribution networks. The power flow analysis is performed in Digsilent power Factory software;then the collected data are sent to MATlab software for optimization process. The proposed algorithm provides optimum time multiplier setting and plug setting of all digital overcurrent relays in each system. The results are compared with other methods such as particle swarm optimization and genetic algorithm. The result comparisons demonstrate that the proposed LFA can successfully obtain proper relay settings in distribution networks with faster speed of convergence and lower total operation time of relays. Also, it shows the superiority and effectiveness of this method against other algorithms. Design/methodology/approach A novel LFA is designed based on the movements of cloud to ground lightning strikes in a thunderstorm. This method is used to optimally adjust the time multiplier setting and plug setting of the relays in distribution system to provide a proper coordination scheme. Findings The proposed algorithm was tested on three case study systems, and the results were compared with other methods. The results confirmed that the proposed method could optimally adjust the relay settings in the electric distribution system to provide a proper protection scheme. Practical implications The practical implications can be conducted on distribution networks. The studie

关键词： Optimization Distribution network Lightning Flash Algorithm Overcurrent relay Plug setting Time multiplier setting Overcurrent relay coordination

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Distributed Dynamic State Estimation in Active Distribution system Based on Particle Filter

Distributed Dynamic State Estimation in Active Distribution ...

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2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

作者： Zhang, Tingting Zhang, Wen Yuan, Peiran Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China

ISBN: (纸本)9781538642917

In this paper, a distributed dynamic state estimation (DDSE) based on particle filter (PF) for real-time monitoring of the active distribution system is proposed. The active distribution system is partitioned into several areas with local estimators. Local estimations based on PF are performed with the collected measurement information from phasor measurement units (PMUs) within their own area and forecasted loads, after which the posterior estimates of boundary buses are exchanged between neighboring areas. Re-estimations will be performed until the differences of the estimates of boundary buses from different estimators don't exceed the given limits. In addition, the influences of distributed generators (DGs) are also considered, the outputs of which are approximated by Gaussian mixture model (GMM). Simulation results based on 119-bus distribution system demonstrate the effectiveness of the proposed method. © 2018 IEEE.

关键词： Phasor measurement units

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A method for determining equipment to be maintained based on comprehensive risk assessment of power system 2

A method for determining equipment to be maintained based on...

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2nd International Workshop on Renewable Energy and Development (IWRED)

作者： Zhou, Yingjian Wang, Yong Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Shandong Peoples R China

With the development of on-line monitoring and condition-based maintenance, the optimization research of condition-based maintenance scheduling is getting more and more important. A reasonable maintenance strategy can save a lot of energy and reduce costs. This paper proposes a method to determine the equipment to be maintained, which is based on the comprehensive risk assessment of power system. First we build a mathematical model of maintenance based on comprehensive risk index. Then non-sequential Monte Carlo simulation and DC power flow optimization model are used to minimize the sum of failure risks and maintenance risks. Finally, the feasibility and validity of the proposed model is analyzed on the IEEE-RTS79 system.

关键词： Risk assessment

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Frequency-Voltage Characteristics Concerned Optimal dispatch

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IOP Conference Series: Earth and Environmental Science 2021年第1期647卷

作者： Chaoshan Xin Gaoshan Fu Xianzhen Meng Shoutao Tian Shibo Jing Bo Zhang Donglei Sun Economic and Technical Research Institute of Xinjiang Electric Power Co. Ltd. Urumqi Xinjiang 830000 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan Shandong 250061 China

The rapid development of integrated wind power bring serious challenges to power system operation. In order to address the increasing wind power curtailment problem, the frequency-voltage characteristics concerned optimal dispatch for power system with large-scale wind power integration is proposed in this paper. Through integration of the optimization of frequency characteristics and voltage characteristics into the traditional power system economic dispatch model, the flexibility resources of generation side and load sides in power systems are mobilized to promote large-scale wind power accommodation. The formulated frequency-voltage characteristics concerned optimal dispatch mathematical model is a nonlinear programming model, which is solved by the GAMS platform. The numerical analysis for an actual provincial power grid indicates that the proposed frequency-voltage characteristics concerned optimal dispatch method can promote wind power utilization efficiency and improve the economy of power system operation.

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Analysis and elimination method of the effects of cables on LVRT testing for offshore wind turbines 2

Analysis and elimination method of the effects of cables on ...

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2nd International Conference on Energy Engineering and Environmental Protection (EEEP)

作者： Jiang, Zimin Liu, Xiaohao Li, Changgang Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

The current state, characteristics and necessity of the low voltage ride through (LVRT) on-site testing for grid-connected offshore wind turbines are introduced firstly. Then the effects of submarine cables on the LVRT testing are analysed based on the equivalent circuit of the testing system. A scheme for eliminating the effects of cables on the proposed LVRT testing method is presented. The specified voltage dips are guaranteed to be in compliance with the testing standards by adjusting the ratio between the current limiting impedance and short circuit impedance according to the steady voltage relationship derived from the equivalent circuit. Finally, simulation results demonstrate that the voltage dips at the high voltage side of wind turbine transformer satisfy the requirements of testing standards.

关键词： Cables

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Start-up Sequence Optimization of Units and HVDC for Hybrid Multi-Infeed DC Receiving systems

Start-up Sequence Optimization of Units and HVDC for Hybrid ...

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IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Peng Li Hongtao Wang Dong Yang Huan Ma Kang Zhao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Shandong Electric Power Research Institute State Grid Jinan China

Aiming at the problem of unit restoration optimization of hybrid multi-infeed direct current (HMIDC) system, an optimization method for start-up sequence of units and HVDC in HMIDC receiving system with LCC-HVDC and VSC-HVDC participation is proposed. Firstly, the interaction between AC and DC systems in the restoration process is analyzed. Then, the multi-objective optimization model of start-up sequence considering HVDC start-up constraints and operational stability constraints is established. And an algorithm based on fast non-dominated sorting genetic algorithm (NSGA-II) for solving the above model is designed. Finally, the feasibility and effectiveness of the proposed method are verified by using IEEE 39 nodes system as an example.

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Risk-Based Admissibility Analysis of Wind power Integration into power system With Energy Storage system

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IEEE ACCESS 2018年 6卷 57400-57413页

作者： Zhang, Yumin Han, Xueshan Xu, Bo Wang, Mingqiang Ye, Pingfeng Pei, Younan Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

The increasing high penetration of wind power will further increase the uncertainty in power systems, and three key issues should be addressed: 1) determining the maximum accommodation level of wind power without sacrificing system reliability;2) quantifying the potential risk when the wind generation realization is beyond the prescribed uncertainty sets;and 3) how to reduce the risk loss. Motivated by these, a risk-based two-stage robust unit commitment (RUC) model is proposed to analyze the admissibility of wind power. In this model, the electricity storage system (ESS) is utilized for managing the wind power uncertainty to reduce the risk loss. Different from a determined uncertainty set in the previous RUC, the proposed method can flexibly adjust the uncertainty set by optimizing the operational risks including the wind spillage risk and load shedding risk. Conditional Value-at Risk (CVaR) is adopted to describe the risk loss when the real wind power output is beyond the predefined uncertainty set. Meanwhile, the low-probability, high-influence events are taken into the account based on CVaR to determine the optimal acceptable wind generation considering the tradeoff between reliability and economics. The proposed model is solved effectively by the modified column and constraint generation method. Case studies on two benchmark systems illustrate that the ESS can reduce the risk loss of power system and improve the ability to accommodate the uncertainty of wind generation.

关键词： Conditional value-at-risk (CVaR) column and constraint generation method (C&CG) energy storage system (ESS) flexible uncertainty set risk-based unit commitment wind generation uncertainty

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Wind and Storage Cooperative Scheduling Strategy Based on Deep Reinforcement Learning Algorithm 2

Wind and Storage Cooperative Scheduling Strategy Based on De...

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2019 2nd International Conference on Advanced Algorithms and control Engineering, ICAACE 2019

作者： Qin, Jingtao Han, Xueshan Liu, Guojing Wang, Shang Li, Wenbo Jiang, Zhe Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong Province Jinan250061 China State Grid Jiangsu Electric Power Company Economic Research Institute Jiangsu Province Nanjing210008 China Tianjin Chengdong Power Supply Company Hedong District Tianjin300250 China State Grid Shandong Electric Power Research Institute Jinan 250003 Shandong Province China

Wind energy has become one of the most promising new energy sources in the context of the global energy interconnection. However, the inherent uncertainty of wind power and the volatility of its output make it difficult to join the internet for scheduling. The uncertainty of the output must be reduced or even eliminated by certain methods. In this paper, wind power and energy storage are coordinated to eliminate the uncertainty of wind power output, and to reduce the burden on the grid while ensuring the long-term operation of wind farms. This paper first introduces Q-learning in reinforcement learning as a controller. Through a large number of historical wind power data training, the controller has good decision-making ability, so as to reduce the punishment caused by wind power uncertainty;then the Q-learning is improved aiming at the maximum average income of the stage. Finally, the Q-value network is established with conventional Q-learning and improved Q-learning. The DQN algorithm in the deep reinforcement learning algorithm is introduced for deep training and decision-making and the three algorithms are verified. The result proves that the deep reinforcement learning algorithm can achieve better control effect than Q-learning. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Modeling and control of Central Air Conditioning Loads for Peak Shaving

Modeling and Control of Central Air Conditioning Loads for P...

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IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Dingyi Cheng Wen Zhang Meng Liu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China State Grid Shandong Electric Power Research Institute Jinan China

Peak shaving can be realized by applying appropriate control on central air conditioning loads due to their large proportion and thermal energy storage characteristics. Simplified model of single central air conditioner is established by analyzing its operating principle. Based on individual model, optimal control model of central air conditioning loads for participating in peak shaving is proposed. Objective is to obtain maximum loads of peak shaving. Constraints take peak shaving and users' comforts into consideration. It should be noted that this optimization model is a mixed integer linear programming and can be solved conveniently. Based on the test platform for central air conditioner, the correctness of individual model can be verified. The effectiveness of optimal control model for peak shaving is verified by simulation results.

关键词： Atmospheric modeling Load modeling Water heating power systems Space heating Central air conditioning

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