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Prediction Error-Based power Forecasting of Wind Energy system Using Hybrid WT-ROPSO-NARMAX Model

ENERGIES 2023年第7期16卷 3295-3295页

作者： Shah, Aamer A. A. Aftab, Almani A. A. Han, Xueshan Baloch, Mazhar Hussain Honnurvali, Mohamed Shaik Chauhdary, Sohaib Tahir Xuzhou Univ Technol Sch Elect & Control Engn Xuzhou 221018 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jingshi Rd 17923 Jinan 250061 Peoples R China ASharqiyah Univ Coll Engn Ibra 400 Oman Dhofar Univ Coll Engn Salalah 211 Oman

The volatility and intermittency of wind energy result in highly unpredictable wind power output, which poses challenges to the stability of the intact power system when integrating large-scale wind power. The accuracy of wind power prediction is critical for maximizing the utilization of wind energy, improving the quality of power supply, and maintaining the stable operation of the power grid. To address this challenge, this paper proposes a novel hybrid forecasting model, referred to as Hybrid WT-PSO-NARMAX, which combines wavelet transform, randomness operator-based particle swarm optimization (ROPSO), and non-linear autoregressive moving average with external inputs (NARMAX). The model is specifically designed for power generation forecasting in wind energy systems, and it incorporates the interactions between the wind system's supervisory control and data acquisition's (SCADA) actual power record and numerical weather prediction (NWP) meteorological data for one year. In the proposed model, wavelet transform is utilized to significantly improve the quality of the chaotic meteorological and SCADA data. The NARMAX techniques are used to map the non-linear relationship between the NWP meteorological variables and SCADA wind power. ROPSO is then employed to optimize the parameters of NARMAX to achieve higher forecasting accuracy. The performance of the proposed model is compared with other forecasting strategies, and it outperforms in terms of forecasting accuracy improvement. Additionally, the proposed Prediction Error-Based power Forecasting (PEBF) approach is introduced, which retrains the model to update the results whenever the difference between forecasted and actual wind powers exceeds a certain limit. The efficiency of the developed scheme is evaluated through a real case study involving a 180 MW grid-connected wind energy system located in Shenyang, China. The proposed model's forecasting accuracy is evaluated using various assessment metrics, including me

关键词： wind power generation short-term forecasting artificial neural network (ANN) power forecasting Shenyang offshore wind power

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Robust Decentralized Coordination of Transmission and Active Distribution Networks

Robust Decentralized Coordination of Transmission and Active...

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IEEE-Industry-Applications-Society Annual Meeting

作者： Li, Peng Yang, Ming Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

ISBN: (纸本)9781728171920

In this paper, a novel robust decentralized dispatch approach is presented, which can efficiently coordinate the transmission network and connected active distribution networks (ADN). The concept of allowable power exchange interval (APEI) is introduced in the coordination of the integrated networks so that the transmission network can receive reserve capacity support from connected ADNs, which further exploits the flexibility in ADNs. Meanwhile, the risk of accommodating wind power has also been considered in the optimization to make a trade-off between the operational risk and costs and a trade-off between the transmission network and ADNs. Besides, the alternating direction method of multipliers (ADMM) is adopted to decompose the centralized robust coordinated dispatch model for the integrated transmission network and ADNs into several dispatch sub-models. To efficiently release the computational burden, a new affine policy is adopted to transform the resulting nonlinear sub-models into linear optimization sub-problems that can be optimized effectively and globally with off-the-shelf solvers. The effectiveness and efficiency of the proposed robust decentralized approach was validated using two test systems.

关键词： Alternating direction method of multipliers (ADMM) allowable power exchange interval (APEI) decentralized optimization robust optimization reserve capacity support

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Cascading Failures Assessment with High Penetration of DFIG Based Wind Turbines

Cascading Failures Assessment with High Penetration of DFIG ...

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Sustainable power and Energy Conference (iSPEC)

作者： Tianhao Liu Yuanzhen Zhu Runjia Sun Yutian Liu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781665414401

An assessment method of cascading failure is proposed to acquire high-risk cascading failures chains under high penetration of renewable energy power system. At first, a dynamic simulation model considering the controller of DFIG is established, and the simplified LVRT model is proposed for the DFIG response model. Then, a risk index is defined for the depth first tree search method used in searching proceeding. Finally, a searching method for cascading failure based on dynamic simulation and power flow is presented, which can simulate the interactive between DFIG and grid failure. The effectiveness of the method proposed to search high-risk cascading failures chains under high penetration of renewable energy is verified by the simulations concerning the modified New England test system.

关键词： Renewable energy sources power system protection power system dynamics Doubly fed induction generators Voltage Probability Search problems

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Enhanced DC-link voltage control of PMSG-based wind turbine generators by machine-side converter during asymmetrical grid faults

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2024年第PartB期155卷

作者： Wang, Zhihao Gao, Xuesong Liu, Lu Ren, Ziyu Zhang, Desheng Zhu, Guofang Jia, Chunjiang Terzija, Vladimir Ding, Lei Shandong Univ Minist Educ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Offshore Renewable Energy Catapult Blyth NE24 1LZ England Newcastle Univ Sch Engn Newcastle Upon Tyne NE1 7RU England

Under asymmetrical grid fault conditions, oscillating active power can occur on the grid-side converter (GSC) of permanent magnet synchronous generator (PMSG)-based wind turbine generators. The oscillating active power flows into the DC-link, causing voltage oscillations that can lead to a shortened lifetime of DC-link capacitors and additional harmonics injected into the grid. While conventional methods can mitigate the oscillating active power through negative sequence current injection by the GSC, this hinders the grid support of the GSC regarding negative sequence reactive current during grid fault. To address this issue, a novel control scheme is proposed that uses the machine-side converter (MSC) to transfer the oscillating power to the motor. Firstly, the active power capacity of the MSC is analyzed and compared with that of GSC, and the results show that MSC has enough capacity to accommodate the oscillating active power. On this basis, a novel MSC control scheme is proposed to transfer the oscillating active power on the DC-link to the motor, which has a much larger inertia to buffer the power oscillation. Compared with conventional methods, the proposed control scheme relieves the GSC from mitigating the power oscillation to support the grid. Simulation studies using DIgSILENT powerFactory are presented to verify the effectiveness of the proposed control scheme for PMSG-based wind turbine generators.

关键词： Permanent magnet synchronous generator Oscillating powers Positive and negative sequence components Grid voltage unbalance

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Learning Assisted Optimal Scheduling of Integrated Gas and Electricity Networks Under High Penetration of Renewable Energy

SSRN

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SSRN 2024年

作者： Sun, Xianzhuo Bai, Runze Zhang, Wen Qiu, Jing Tao, Yuechuan Lai, Shuying School of Electrical and Information Engineering The University of Sydney Camperdown2006 Australia Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University 999077 Hong Kong Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan250061 China

The growing integration of renewable energy sources into the power grid necessitates innovative approaches to energy system management. Integrated gas and electricity networks offer a promising solution to this challenge, enabling the efficient, reliable, and sustainable operation of energy systems. This paper presents a novel approach to the optimal scheduling of integrated gas and electricity networks, addressing the challenges posed by high penetration of renewable energy ***, a learning-assisted methodology is proposed to leverage Graph Convolutional Networks (GCNs) and Bayesian-based uncertainty models to enhance the accuracy and efficiency of scheduling integrated energy systems. The proposed GCN model effectively captures the complex interactions within the integrated network, facilitating accurate power and gas flow predictions. Meanwhile, the Bayesian-based model adeptly manages the inherent uncertainties associated with renewable energy generation, employing a chance-constrained approach to ensure system reliability. The effectiveness of the proposed methodology is demonstrated through extensive simulations on an IEEE 39-bus electricity network coupled with a 22-node hydrogen network. Results indicate significant improvements in computational efficiency and predictive accuracy compared to traditional model-based methods and existing data-driven techniques. © 2024, The Authors. All rights reserved.

关键词： Renewable energy

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A distributionally robust model for reserve optimization considering contingency probability uncertainty

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2022年 134卷 107174-107174页

作者： Li, R. Wang, M. Q. Yang, M. Han, X. S. Wu, Q. W. Wang, W. L. Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Tech Univ Denmark DTU Dept Elect Engn Ctr Elect Power & Energy CEE DK-2800 Lyngby Denmark

Spinning reserve is an important resource for power system to deal with the possible contingencies and uncertainties of renewable energy and load. Traditionally, the spinning reserve requirement is calculated by a deterministic or probabilistic method. When the contingency probability is considered, usually a fixed statistical value is applied, and the uncertainty of contingency probability is ignored due to the lack of statistical samples. This paper proposes a new distributionally robust reserve optimization model considering the uncertainty of contingency probability. The ambiguity set of contingency probability is further analyzed based on the deterministic relationship between contingency probability and equipment outage rate. When the uncertainty of equipment outage rate is described by interval, the distributionally robust model finally boils down to a robust-stochastic optimization model. The proposed model is recast as a mixed integer linear programming problem based on dual theory, epigraph reformulation and KKT condition. The effectiveness and validity of the proposed method are illustrated on the IEEE-RTS system.

关键词： Distributionally robust optimization Equipment outage rate Reserve optimization Spinning reserve Uncertainty of contingency probability

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Extending SFR model to incorporate the influence of thermal states on primary frequency response

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IET GENERATION TRANSMISSION & DISTRIBUTION 2020年第19期14卷 4069-4078页

作者： Cao, Yongji Zhang, Hengxu Zhang, Yi Xie, Yuzheng Ma, Changhui Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China Shandong Elect Power Res Inst State Grid Corp Chi Jinan Peoples R China

Due to the increasing penetration of variable renewable energies, the primary frequency response (PFR) capability of thermal power units is becoming more and more significant for power systems to tackle abrupt active power disturbances. Moreover, the actual thermal states of boilers that are usually assumed to keep rated and constant may degrade PFR capability, and incur unexpected severer frequency deviations and even instability. This study proposes an extended system frequency response (ESFR) model incorporating the influence of thermal states on PFR. The ESFR model is developed by extending the system frequency response (SFR) model with a boiler thermodynamic sub-model, of which a low-order and linear time-domain expression is derived. Then, a quantitative assessment framework is established to assess the influence of thermal states on PFR capability, in which the instantaneous and accumulative quantities are calculated via the expressions of the ESFR and SFR models. Furthermore, based on the developed ESFR model, an improved estimation approach of dynamic frequency response considering thermal states is provided for the preliminary application. Case studies are conducted to validate the proposed model and approach.

关键词： thermal power stations frequency control boilers time-domain analysis power system security wind power plants frequency response SFR model variable renewable energies primary frequency response capability thermal power units power systems abrupt active power disturbances actual thermal states PFR capability unexpected severer frequency deviations extended system frequency response model boiler thermodynamic sub-model developed ESFR model dynamic frequency response

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Analysis of Commutation Failure in LCC-HVDC systems during Unbalanced Conditions Using Sequence Components

Analysis of Commutation Failure in LCC-HVDC Systems during U...

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2021 International Conference on power system Technology, powerCON 2021

作者： Omer, Ahmed Wang, Xiaohui Xie, Zhenjian Li, Chen School of Electrical Engineering Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan250061 China Economic and Technological Research Institute State Grid Jiangsu Electric Power Co. Ltd. Nanjing210000 China

ISBN: (纸本)9781665407373

This paper takes close research on the impact of unbalanced faults in the occurrence of Commutation Failure (CF) in LCC-HVDC inverters, by finding the probability of CF with the phase shift that takes place in case of unbalanced faults. The analyses of the unbalanced system are conducted by using sequence components, a relationship between the phase shift and unbalance ratio is implemented to describe the degree of unbalance in the system. The unbalance ratio is used to quantify the amount of the phase shift that will cause CF in the system, and the probability of CF with respect to unbalance ratio is obtained. Moreover, a mathematical model is implemented to calculate the critical amount of unbalance degree that will cause CF in the system, with different faults applied, the relationship between commutation failure and phase shift is obtained. The mathematical model is verified using PSCAD/EMTDC. © 2021 IEEE.

关键词： HVDC power transmission

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Optimized Design for AC Filter and Switching Frequency of Parallel-Connected Inverters With Global Synchronous Pulsewidth Modulation

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IEEE TRANSACTIONS ON power ELECTRONICS 2020年第11期35卷 11843-11854页

作者： Xu, Tao Gao, Feng Zhou, Kangjia Blaabjerg, Frede Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Aalborg Univ Dept Energy Technol DK-9100 Aalborg Denmark

This article proposes a new optimized design method for AC filter and switching frequency of parallel-connected inverters with global synchronous pulse width modulation (GSPWM) to improve the efficiency or reduce the cost. Being different from the traditional design methods that only focus on the individual inverter itself, the quantity of parallel-connected inverters and the operational principles of GSPWM are involved as the key considerations for designing the proper ac filter values and switching frequencies. In specific, the general principles and the realization details are comprehensively elaborated. Experimental results are presented to verify the proposed theoretical findings.

关键词： Inverters power harmonic filters Switching frequency Harmonic analysis Synchronization Pulse width modulation Design methodology AC filter global synchronous pulsewidth modulation optimized parameter parallel-connected inverters switching frequency

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A power supply restoration method of distribution network based on NSGA-II algorithm

A power supply restoration method of distribution network ba...

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Science and Technology Innovation (IAECST), International Academic Exchange Conference on

作者： Fengyuan Zhou Zhanjun Gao Jinshuang Mu Peng Zong Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781665402682

With the rapid development of today's economy and society, people put forward higher requirements for power quality. In the process of distribution network operation, if there is a fault, it will produce immeasurable loss. It is necessary to restore the power supply in the non-fault power outage area in time. Therefore, it is particularly important to restore the power supply of distribution network quickly and efficiently. This paper considers factors such as load recovery, switching operation times and network loss. Based on the mathematical model of distribution network restoration and reconstruction, a genetic algorithm for distribution network power supply restoration and reconstruction is proposed. Combined with the characteristics of distribution network, the crossover rate and mutation rate suitable for distribution network are selected to improve the efficiency of the algorithm and make it quickly converge to the global optimal solution. Finally, the feasibility of distribution network is verified by an example.

关键词： Technological innovation power supplies power quality Distribution networks Switches Stability analysis Mathematical models

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