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检索条件"机构=Key Lab of Power System Intelligent Dispatch and Control"

共 1779 条记录，以下是241-250 订阅

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Robust Black Start Strategy with a High Share of Renewable Energy Generation 6

Robust Black Start Strategy with a High Share of Renewable E...

引用

6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Fan, Xuemei Wang, Hongtao Li, Yong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350347159

Renewable energy generation is expected to participate in black start in case of blackout events, as they can significantly speed up power system restoration. This paper proposes a startup strategy aiming to improve the black start robustness against uncertainties introduced by wind or photovoltaic power plants. The strategy is composed of a short-term emulation model and a long-term ordered participation model. The short-term model concerns the transient state frequency and voltage stability under black start disturbances. It emulates the regulating capability of the power plants so as to determine if they can withstand the black start events. The long-term model deals with the steady state power and energy balance during black start units ramping. It takes into consideration the uncertainty of wind and photovoltaic power and calculates the confidence power output interval, and thereby prevents generation shortage caused by renewable power fluctuations. Based on the proposed strategy, an ordered participation algorithm is presented for online decision making of black start schemes, which are validated using a practical regional power system based study case. The results show that the proposed method can improve system robustness and stability for black start with wind and photovoltaic power. © 2022 IEEE.

关键词： Wind power

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Fault location of HVDC transmission line based on improved genetic algorithm 8

Fault location of HVDC transmission line based on improved g...

引用

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

作者： Zhang, Jianlei Gao, Zhanjun Xie, Xiufang Yin, Huanhuan Wang, Zhiyuan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781728117225

Aiming at the problem that the current time domain fault location method has low accuracy under the change of line parameters, this paper takes line parameter errors and fault location results as variables to participate in the calculation, forming a multi-variables optimization problem. The standard genetic algorithm is optimized to realize the non-linear adaptive adjustment of crossover rate and mutation rate according to fitness, which effectively improves the search ability and convergence speed of the algorithm. PSCAD simulation software and MATlab are used to verify the algorithm. The simulation results show that the method is not affected by fault location and transitional resistance, and can achieve accurate fault location in the whole transmission line. © 2019 IEEE.

关键词： Genetic algorithms

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Small-Signal Stability Analysis of Islanded Microgrid with Grid-Forming and Grid-Following Inverter-Based Resources

Small-Signal Stability Analysis of Islanded Microgrid with G...

引用

2023 International Conference on power system Technology, powerCon 2023

作者： Gao, Yu Ye, Hua Yang, Jialun Shandong University Key Loboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

Given the potential environmental impact of conventional fossil fuels and the advances in grid-interactive power electronics, microgrids with inverter-based resources (IBRs) are increasingly important in modern power grids. It is crucial to develop an understanding of the fundamental dynamic stability characteristics of a 100% IBRs microgrid. To achieve this goal, a generic small-signal microgrid model with detailed control schemes for both Grid-Forming (GFM) and Grid-Following (GFL) IBRs has been developed. Using eigenvalue analysis techniques, the key oscillation modes affecting microgrid stability have been determined. Additionally, the participation factor method was employed to examine the influence of the crucial control parameters. The results can offer theoretical support for capacity planning, parameter design, and controller optimization of the two types of inverters within a microgrid. The ultimate objective is to enhance small disturbance synchronization stability in the microgrid system. © 2023 IEEE.

关键词： Modal analysis

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Research on Pilot Protection of Active Distribution Network 7

Research on Pilot Protection of Active Distribution Network

引用

7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering

作者： Liu, Zhao Gao, Zhanjun Yang, Tao Yu, Chengao Key Laboratary of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781510656437

The access of distributed power sources has changed the structure and operation of distribution networks, which makes protection methods currently no longer applicable, and the small probability of extreme disasters makes protections of distribution network face new challenges. In order to make the protection of active distribution network response to different fault types at the same time, a new method of active distribution network pilot protection based on the comparison of the projected and actual values of voltage fault components is proposed based on the analysis of the voltage fault component characteristics of the distribution network when a fault occurs. The method can effectively identify the faults in the zone under different fault types, and has the advantages of not being affected by unmeasurable branches, not being affected by distributed power penetration, and having strong ability to withstand transition resistance. © 2022 SPIE. All rights reserved.

关键词： Probability distributions

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Optimal Generator Start-up Sequence with Active Distribution Networks Considering Recovery Path 4

Optimal Generator Start-up Sequence with Active Distribution...

引用

4th IEEE International Conference on Electronics Technology, ICET 2021

作者： Zhai, Shibo Wang, Hongtao Shan, YueChen Zhang, Xiang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781728176734

The recovery process of power system after blackout can be divided into three stages: generator start-up, grid reconfiguration and load restoration. This paper focuses on generator start-up and proposes a new optimization model of generators start-up sequence (GSS). Recovery path constraints are formed considering line capacitance for avoiding node overvoltage and node importance for facilitating the next two recovery process. The participation of active distribution network is also considered in the model, and various constraints are formed according to characteristics of active distribution network. The GSS problem is transformed into MISOCP model. This paper verifies the effectiveness of recovery path constraints and the advantages of participation of distribution network in GSS problem in T39D33 case. © 2021 IEEE.

关键词： Recovery

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Cooperative scheduling for supply/demand side reserves with renewables considering load recovery

Cooperative scheduling for supply/demand side reserves with ...

引用

2016 IEEE PES Asia Pacific power and Energy Engineering Conference, APPEEC 2016

作者： Qiao, Fang Zhang, Wen Wang, Kai Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781509054183

In order to accommodate to the uncertainty of renewables, this paper proposes a methodology to cooperatively optimize spinning reserve for both supply and demand sides in day-ahead scheduling. A novel stochastic programming model in mix-integer linear form is developed, in which the reserve levels, optimal reserve scheduling and the optimal cost can be achieved. In the model, reserves are coordinated both in space dimension by considering network constraints and in time dimension due to load recovery effects of controllable loads and stochastic process of wind penetration. © 2016 IEEE.

关键词： Wind power

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Research on Microgrid Energy Storage Scheduling Strategy Incorporating Electric Vehicles Based on the DQN Algorithm 9

Research on Microgrid Energy Storage Scheduling Strategy Inc...

引用

9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Song, Zhen Intelligent Dispatch and Control of Ministry of Education Shandong University Key Laboratory of Power System Jinan China

ISBN: (纸本)9798350309638

This study focuses on the scheduling of a microgrid integrated with electric vehicles, employing a reinforcement learning algorithm to devise an optimal economic operation strategy. The approach addresses the challenges of renewable energy generation's randomness and the economic and safety concerns arising from the extensive integration of electric vehicles into the microgrid. The paper explores the reinforcement learning-based energy management of storage devices within the microgrid. A Deep Q-Network (DQN) method is utilized to formulate the microgrid storage scheduling problem as a Markov Decision Process (MDP). The study involves a detailed simulation of a residential user microgrid, considering various parameters such as battery storage capacity, charging and discharging rates, and electric vehicle load models. The reinforcement learning algorithm demonstrates the capability of real-time response to power changes in the microgrid, ensuring operational cost minimization even under multiple input uncertainties. © 2024 IEEE.

关键词： Markov processes

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Day-ahead generation scheduling for variable energy resources considering demand response

Day-ahead generation scheduling for variable energy resource...

引用

2016 IEEE PES Asia Pacific power and Energy Engineering Conference, APPEEC 2016

作者： Hao, Gong Hongtao, Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781509054183

The presence of higher penetration of renewable energy generation (RES) requires more flexible scheduling resources to maintain the balance between demand side and generation side. In addition to traditional reserve resources, demand response (DR) programs have gained much attention recently to mitigate wind power's volatility and uncertainty. To better accommodate wind power, this paper proposes a chance-constrained day-ahead generation scheduling model for variable energy resources considering DR. The model considers hourly forecast errors of wind power output and DR. A chance-constrained stochastic programming formulation is presented for the day-ahead scheduling model. Operation risk chance constraints for load shedding and wind curtailment are formulated. Reserve requirements are formulated as chance constraints in which power system reliability requirements are to be satisfied with a presumed level of high probability. The loss of load probability and the probability of wind power curtailment is less than certain level. The formulation captures both wind power output and DR uncertainties. The chance-constrained stochastic programming formulation is converted into an equivalent linear deterministic problem. The proposed model is tested in PJM 5-bus system. © 2016 IEEE.

关键词： Wind power

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An IGDT-based intraday scheduling strategy method considering wind power ramp event

An IGDT-based intraday scheduling strategy method considerin...

引用

IEEE power and Energy Society General Meeting, PESGM 2015

作者： Ma, Huan Liu, Yutian Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781467380409

Due to the rapid change of wind power, limit prediction cycle and severe uncertainty, wind power ramp events raise new challenges to the power system with high penetration of wind power. In order to reduce the risk and scheduling cost, an IGDT-based intraday scheduling strategy method is proposed in this paper. The wind farm cost caused by prediction errors is analyzed and taken into account as part of the scheduling cost, which is the optimization objective. By analyzing the characteristic of wind power ramp events, a new constraint related to the minimum start-up time of conventional units is suggested into the wind power ramp scheduling model. To deal with the uncertainty of wind power ramp prediction, the scheduling model is solved using IGDT method, which can provide robust strategy. The Monte Carlo method is used to compare the IGDT-based method and traditional deterministic method. Simulation results verify that the proposed wind power ramp scheduling strategy method proposed in this paper is more robust and economical. © 2015 IEEE.

关键词： Wind power

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Multi-Objective Topology Reconfiguration Strategy for Promoting PV Consumption of Distribution systems

Multi-Objective Topology Reconfiguration Strategy for Promot...

引用

2023 International Conference on power system Technology, powerCon 2023

作者： Ren, Zhengxing Chu, Xiaodong Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9798350300222

The use of intermittent new energy sources is an important part of driving the low-carbon transition of the power system. PV (Photovoltaic) grid-connected increases the volatility of the distribution system. As the basis of power system operation, the topology can directly influence the PV generation and flow distribution. To promote PV consumption, the flexibility of the distribution system topology needs to be fully utilized. A topology optimization strategy is proposed in this paper to cope with the increasing penetration of PV in distribution systems. First, a multi-objective topology reconfiguration model considering PV consumption and power quality is established. After that, an improved multi-objective discrete particle swarm optimization algorithm is used to find the optimal solution set. Finally, gray relational analysis is applied to select the optimal reconfiguration plan. The case study results of the IEEE 33-bus system demonstrate that this strategy can effectively promote PV consumption. © 2023 IEEE.

关键词： Topology

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