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Annual Meeting Industrial and Commercial power systems Technical Conference

作者： Guanjie Wang Ming Yang Yixiao Yu Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

The following topics are dealt with: distributed power generation; power engineering computing; photovoltaic power systems; power grids; power generation control; power distribution faults; invertors; power distributi...

ISBN: (数字)9781728171951

ISBN: (纸本)9781728171968

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Peak shaving market mechanism of captive power plants considering energy consumption characteristics of enterprises

Peak shaving market mechanism of captive power plants consid...

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International Conference on power system Technology (powerCON)

作者： Hanghang Liu Daning You Yanbin Cai Guoqiang Zhang Hao Wang Li Zhang Dongying Power Supply Company State Grid Shandong Electric Power Company Dongying China Power Dispatching Control Center State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (纸本)9781665407380

The continuously increased renewable energy has brought tremendous pressure to the operation of power system. To enhance dispatching flexibility, it is necessary to build peak shaving market and include captive power plants in the transaction. Considering the peculiarity of captive power plants, a mechanism of captive power plants to participate in peak shaving auxiliary services market is proposed, in which the captive power plant must meet the enterprise's own demand for steam and heat when it takes part in market bidding and clearing. The mechanism is established on the basis of the provincial spot market, emphases are focused on declaration and settlement rules. Case studies show that the mechanism can make the captive power plant play its peak shaving role without affecting the production of the enterprise. Thus, the mechanism is practicable and promising in promoting the consumption of renewable energy.

关键词： Heating systems Couplings Renewable energy sources Energy consumption Production dispatching power systems

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Hybrid Solar Forecasting Method Using Satellite Visible Images and Modified Convolutional Neural Networks

Hybrid Solar Forecasting Method Using Satellite Visible Imag...

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Annual Meeting Industrial and Commercial power systems Technical Conference

作者： Zhiyuan Si Ming Yang Yixiao Yu Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9781728171951

ISBN: (纸本)9781728171968

This paper proposes a new hybrid method to predict global horizontal irradiance (GHI) at temporal horizons of 1, 2, 3 and 4 hours, combining the satellite visible images and meteorological information. First, the satellite visible images are preprocessed to remove the diurnal effects caused by the solar zenith angle. Then the cloud cover factors are extracted from satellite visible images by using the modified convolutional neural network (CNN). After that, the GHI forecasting model is developed which is based on the combined use of meteorological information and cloud cover factors. The sensitivity of the prediction accuracy to a variety of CNN structures with different widths, depths, and pooling methods is also explored in the paper. Meanwhile, a cloud motion forecasting method using predicted wind speeds is developed. The forecasting skills of the proposed method for different time horizons are demonstrated by comparing with several benchmark models.

关键词： Clouds Satellites Forecasting Predictive models power systems Weather forecasting Correlation coefficient

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Research on Demand Forecast of power Grid Emergency Materials Based on CBR Method Improved by Information Update 8

Research on Demand Forecast of Power Grid Emergency Material...

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

作者： Qingfa, Chai Wei, Cong Jian, Chen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781728117225

The grid emergency caused by natural disasters has the characteristics of complexity, urgency, and information incompleteness, making it difficult to make emergency material dispatching. Based on the study of historical fault-meteorology-repair statistics of power grids, this paper proposes a CBR (case-based reasoning) method for the demand of emergency materials in power grids, combining intuitionistic fuzzy sets with case-based reasoning, considering meteorological elements, geological elements, and accidents. The characteristic factors are corrected with the information update, the iterative calculation of the prediction process is realized, and the material demand is accurately predicted. The example shows that this method can accurately predict the demand for emergency materials in grid emergencies. © 2019 IEEE.

关键词： Iterative methods

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Fault disappearing judgement of single phase grounding in neutral point non-effective grounding system based on adjustable resistor 8

Fault disappearing judgement of single phase grounding in ne...

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

作者： Pan, Bozhong Cong, Wei Ma, Yanfei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781728117225

In the distribution network, it is important to determine whether single phase grounding fault has disappeared in time. The reason is that accurate determination contribute to improving safety of system operation and reliability of power supply. This paper proposed a method to judge the disappearance of single phase ground fault based on neutral point non-effective grounding system by means of adjustable resistor. When single phase grounding occurs, forcibly grounding the fault phase at the busbar could reduce fault point voltage and reduce high residual voltage hazard. Then adjust the value of adjustable resistor at the busbar grounding branch, and then monitor the trend of grounding branch current to determine if the fault has disappeared. Simulation results show that the proposed method can accurately and timely judge whether single phase grounding fault disappears. © 2019 IEEE.

关键词： Electric grounding

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Calculation of electrothermal coupling power flow for XLPE insulated cable-based distribution systems

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2020年第0期117卷 105680-000页

作者： Wang, Mengxia Zhou, Shengyuan Yang, Ming Zhang, Yaqi Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

power cable is an important transmission component in distribution systems. The full utilization of the cable's transfer capability is of great significance to improve the economic and security performances of distribution systems. In this paper, a calculation method for electrothermal coupling (ETC) power flow for cable-based distribution systems is developed by embedding the solution of the thermal model of the crosslinked polyethylene (XLPE) insulated cable into the forward-backward sweep power flow calculation process of distribution systems. The method can be used to calculate the temperature dynamics of 3-phase cables under anticipated operation scenarios of distribution systems, thus revealing the potential transfer capability exists in the thermal inertia process of cable lines to operators. In case studies, the validity of the proposed ETC power flow calculation method is verified. Besides, the influence of the temperature of cable conductors on power flow is analyzed and the benefits of implementing the ETC power flow for the cable-based distribution systems are also illustrated.

关键词： Distribution system Cable Electrothermal coupling power flow calculation Thermal behavior

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DMPC based distributed voltage control for unbalanced distribution networks with single-/three-phase DGs

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2023年第1期150卷

作者： Jiao, Wenshu Wu, Qiuwei Huang, Sheng Chen, Jian Li, Canbing Zhou, Bin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Tsinghua Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China Hunan Univ Coll Elect & Informat Engn Changsha 410082 Peoples R China Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China

This paper proposes a distributed voltage control scheme for unbalanced distribution networks (DNs) with single-/three-phase distributed generations (S/T-DGs) based on distributed model predictive control (DMPC). The active and reactive power outputs of each phase of DG units are optimally coordinated to regulate threephase voltages of all buses to be close to the nominal value and mitigate voltage fluctuations. According to the operation conditions of three-phase DNs, two control modes are designed: preventive and corrective modes. In the preventive mode, the measured voltages of each phase are within the predefined limits, only the reactive power outputs of DG units are optimally adjusted to minimize the voltage deviations of each phase of all critical buses from the nominal value and mitigate the reactive power variations;while in the corrective mode, both the active and reactive power outputs of DG units are optimized to minimize the voltage deviations and the curtailed active power of DGs. The relationship between voltage variation of each phase and power injection is determined using an efficient analytical sensitivity calculation method. The DG controller only exchanges information with adjacent controllers and solves the local DMPC problem. A modified Finnish distribution network with 6 SDGs and 2 TDGs was used to verify the control performance of the proposed distributed voltage control scheme. (c) 2017 Elsevier Inc. All rights reserved.

关键词： Distributed control Distributed generation (DG) Three-phase distribution network Distributed model predictive control (DMPC) Voltage control

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A Fixed-Point Based Distributed Method for Energy Flow Calculation in Multi-Energy systems

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IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2020年第4期11卷 2567-2580页

作者： Zhang, Gang Zhang, Feng Meng, Ke Zhang, Xin Dong, Zhao Yang Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Cranfield Univ Sch Water Energy & Environm Energy & Power Theme Cranfield MK43 0AL Beds England

Energy flow calculation (EFC) plays an important role in steady-state analysis of multi-energy systems (MESs). However, the independent management of sub-energy systems (subsystems) poses a considerable challenge to solve the high-order nonlinear energy flow model due to the limited information exchange between these subsystems. In this article, a fixed-point based distributed method is proposed for EFC in an electricity-gas-heating system. Firstly, the mathematical modeling of each subsystem with coupling units is introduced. Then, two information exchange structures among subsystems are presented as sequential and parallel structures. Based on the fixed-point theorem, novel distributed sequential and parallel methods for EFC are proposed to calculate energy flow distribution in MESs. In our proposed method, the EFC in subsystems is implemented by the individual system operators, with limited information exchange between subsystems. Therefore, the information privacy of subsystems can be preserved in this solution process. Moreover, the convergence of the proposed method is guaranteed, and the sufficient conditions for the convergence are presented. Lastly, simulations on a MES demonstrate the effectiveness of the proposed method and the quantified superiority over the existing methods in computation time, accuracy and reliability.

关键词： Cogeneration Fluid flow Manganese Information exchange Resistance heating Mathematical model Distributed method energy flow calculation (EFC) fixed-point high-order nonlinear equation multi-energy system

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Deep Reinforcement Learning Based Optimal Schedule for a Battery Swapping Station Considering Uncertainties

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2020年第5期56卷 5775-5784页

作者： Gao, Yuan Yang, Jiajun Yang, Ming Li, Zhengshuo Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Shandong Univ Jinan 250061 Peoples R China Shandong Univ Dept Elect Engn Jinan 250061 Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

For a battery swapping station (BSS), the stochastic operation of electric buses (EBs) and the uncertainty of electricity prices cause unnecessary economic losses. To minimize the operating costs of the BSS, this article applies the deep reinforcement learning (DRL) and proposes a BSS model to determine the optimal real-time charge/discharge power of the charging piles. The predictability of bus operation and the uncertainty of price can be directly captured from historical data without any assumption in the model. Moreover, deep deterministic policy gradient (DDPG), as the DRL algorithm, is implemented in the model to simultaneously control multiple charging piles. Numerical results illustrate that the proposed approach can bring less operating cost than the existing benchmark control methods for a BSS while providing adequate batteries ready for swapping.

关键词： Batteries Uncertainty Optimization Machine learning Indexes Schedules State of charge Battery swapping station charging discharging schedules deep reinforcement learning electric bus optimal control

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A scalable distributed online algorithm for optimal power flow in distribution system

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2021年 129卷 106559-106559页

作者： Zhu, Xingxu Han, Xueshan Yang, Ming Xu, Yijing Sun, Donglei Li, Wensheng Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Shandong Peoples R China State Grid Shandong Elect Power Co Econ & Technol Res Inst Jinan 250021 Shandong Peoples R China

In this paper, a scalable distributed online algorithm is proposed for solving optimal power flow (OPF) in real time. The operation of distribution systems can be continuously driven towards given OPF targets only depending on local and some aggregated information of each distribution area. Particularly, the proposed algorithm is applicable to the distribution system where each area operates in arbitrary topologies. The algorithm uses the primal-dual gradient method to update DER set-points recurrently based on the sensitivities of the OPF targets;moreover, we decompose the sensitivities into several separate items and give the method to calculate these separate items in a distributed way. The decomposition and distributed calculation methods are all deduced under the general power flow model that completely specifies the physics of electrical networks with arbitrary topologies. The effectiveness of the algorithm is verified using a modified 502-node distribution system. Compared with the online algorithms requiring to process some operation details in a centralized way, the proposed algorithm can achieve almost the same convergence properties with reducing the calculation time sharply.

关键词： Scalable distributed online algorithm Arbitrary topology Optimal power flow Distribution system Distributed energy resource

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