| 1. |
- Bollen, Math, et al.
(författare)
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Harmonic aspects of wind power integration
- 2013
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : Springer Science and Business Media LLC. - 2196-5625 .- 2196-5420. ; 1:1, s. 14-21
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- This paper discusses a number of ways in which wind power installations can impact the harmonic levels in the power system. Wind turbines are an additional source of harmonic emission, especially when it concerns “non-characteristic harmonics.” Parallel resonances can amplify the emission from individual turbines. A mathematical model is developed to quantify this amplification. Series resonances can result in high currents, driven by the background voltage distortion in the transmission grid, flowing into the wind park. Weakening of the transmission grid will increase lower order harmonics but reduce higher order harmonics.
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| 2. |
- de Oliveira, Roger Alves, et al.
(författare)
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Susceptibility of Large Wind Power Plants to Voltage Disturbances – Recommendations to Stakeholders
- 2022
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : State Grid Electric Power Research Institute (SGERPI). - 2196-5625 .- 2196-5420. ; 10:2, s. 416-429
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Tidskriftsartikel (refereegranskat)abstract
- Sufficient fault-ride-through (FRT) of large wind power plants (WPPs) is essential for ensuring transmission-grid operational security. The majority of FRT studies do not include all disturbances originated in the transmission grid or include disturbances not relevant for operational security. Using knowledge of power quality, this paper provides a guide to stakeholders in different aspects of FRT for wind turbines (WTs) and wind power plants. This work details the characteristics of the most common disturbances originated in the transmission grid, how they propagate to the wind turbines terminals, and how they impact the dynamic behavior of a large WPP. This work shows that the details of the voltage disturbances at the WT terminals should be considered and not just the voltage disturbance in the transmission grid. Moreover, detailed representation or characterization of voltage dips is important in FRT studies. The simplified models used in the literature are insufficient. This paper strongly recommends that distinct events and additional characteristics as the phase-angle jump and oscillations in the transition segments are considered in FRT analysis.
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| 3. |
- Dimoulkas, Ilias, et al.
(författare)
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District heating system operation in power systems with high share of wind power
- 2017
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : Springer Berlin/Heidelberg. - 2196-5625 .- 2196-5420. ; 5:6, s. 850-862
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Tidskriftsartikel (refereegranskat)abstract
- The integration of continuously varying and not easily predictable wind power generation is affecting the stability of the power system and leads to increasing demand for balancing services. In this study, a short-term operation model of a district heating system is proposed to optimally schedule the production of both heat and power in a system with high wind power penetration. The application of the model in a case study system shows the increased flexibility offered by the coordination of power generation, consumption and heat storage units which are available in district heating systems.
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| 4. |
- Erduman, Ali, et al.
(författare)
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Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-Economics
- 2021
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Ingår i: Journal of Modern Power Systems and Clean Energy. - 2196-5625 .- 2196-5420. ; 9:2, s. 356-366
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Tidskriftsartikel (refereegranskat)abstract
- The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure. This problem has a major significance for the investment success for the projects of renewable energy such as wind power. In this study, a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized. Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system, wind resources, and techno-eco-nomics. Linear optimization is introduced in this context at the power system which is constrained by wind farm planning.
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| 5. |
- Kouveliotis Lysikatos, Iasonas, 1989-, et al.
(författare)
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Towards an Internet-like Power Grid
- 2022
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : Journal of Modern Power Systems and Clean Energy. - 2196-5625 .- 2196-5420. ; 10:1, s. 1-11
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Forskningsöversikt (refereegranskat)abstract
- The great challenges faced by modern power systems require a fresh look at the conventional operation paradigm. The significant challenges faced by modern power systems require an innovative method for the conventional operation paradigm. We claim that the decarbonization of the power grid and extensive electrification of numerous sectors of human activity can only be fostered by a self-adaptable and smart power grid that manifests similar qualities to those of the Internet. The Internet is constructed on a layered architecture that facilitates technology innovations and its intelligence is distributed throughout a hierarchy of networks. In this paper, the fundamental differences between the network data flows and power flows are examined, and the basic requirements for an innovative operation paradigm are highlighted. The current power grid is operated in a highly inflexible, centralized manner to meet increased security goals. A new highly flexible, distributed architecture can be realized by distributing the operation responsibility in smaller areas or even in grid components that can make autonomous decisions. The characteristics of such a power grid are presented, and the key features and advances for the on-going transition to a sustainable power system are identified. Finally, a case study on distributed voltage control is presented and discussed.
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| 6. |
- Li, Cheng, et al.
(författare)
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Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service
- 2021
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2196-5625 .- 2196-5420. ; 9:2, s. 264-273
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Tidskriftsartikel (refereegranskat)abstract
- With the extensive integration of high-penetration renewable energy resources, more fast-response frequency regulation (FR) providers are required to eliminate the impact of uncertainties from loads and distributed generators (DGs) on system security and stability. As a high-quality FR resource, community integrated energy station (CIES) can effectively respond to frequency deviation caused by renewable energy generation, helping to solve the frequency problem of power system. This paper proposes an optimal planning model of CIES considering FR service. First, the model of FR service is established to unify the time scale of FR service and economic operation. Then, an optimal planning model of CIES considering FR service is proposed, with which the revenue of participating in the FR service is obtained under market mechanism. The flexible electricity pricing model is introduced to flatten the peak tie-line power of CIES. Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service, which suggest that providing ancillary services can bring potential revenue.
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| 7. |
- Liao, Wenlong, et al.
(författare)
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A Review of Graph Neural Networks and Their Applications in Power Systems
- 2022
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : Journal of Modern Power Systems and Clean Energy. - 2196-5625 .- 2196-5420. ; 10:2, s. 345-360
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Forskningsöversikt (refereegranskat)abstract
- Deep neural networks have revolutionized many machine learning tasks in power systems, ranging from pattern recognition to signal processing. The data in these tasks are typically represented in Euclidean domains. Nevertheless, there is an increasing number of applications in power systems, where data are collected from non-Euclidean domains and represented as graph-structured data with high-dimensional features and interdependency among nodes. The complexity of graph-structured data has brought significant challenges to the existing deep neural networks defined in Euclidean domains. Recently, many publications generalizing deep neural networks for graph-structured data in power systems have emerged. In this paper, a comprehensive overview of graph neural networks (GNNs) in power systems is proposed. Specifically, several classical paradigms of GNN structures, e.g., graph convolutional networks, are summarized. Key applications in power systems such as fault scenario application, time-series prediction, power flow calculation, and data generation are reviewed in detail. Furthermore, main issues and some research trends about the applications of GNNs in power systems are discussed.
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| 8. |
- Liao, Wenlong, et al.
(författare)
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Data-driven Missing Data Imputation for Wind Farms Using Context Encoder
- 2022
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : Journal of Modern Power Systems and Clean Energy. - 2196-5625 .- 2196-5420. ; 10:4, s. 964-976
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Tidskriftsartikel (refereegranskat)abstract
- High-quality datasets are of paramount importance for the operation and planning of wind farms. However, the datasets collected by the supervisory control and data acquisition (SCADA) system may contain missing data due to various factors such as sensor failure and communication congestion. In this paper, a data-driven approach is proposed to fill the missing data of wind farms based on a context encoder (CE), which consists of an encoder, a decoder, and a discriminator. Through deep convolutional neural networks, the proposed method is able to automatically explore the complex nonlinear characteristics of the datasets that are difficult to be modeled explicitly. The proposed method can not only fully use the surrounding context information by the reconstructed loss, but also make filling data look real by the adversarial loss. In addition, the correlation among multiple missing attributes is taken into account by adjusting the format of input data. The simulation results show that CE performs better than traditional methods for the attributes of wind farms with hallmark characteristics such as large peaks, large valleys, and fast ramps. Moreover, the CE shows stronger generalization ability than traditional methods such as auto-encoder, K-means, k-nearest neighbor, back propagation neural network, cubic interpolation, and conditional generative adversarial network for different missing data scales.
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| 9. |
- Liao, Wenlong, et al.
(författare)
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Scenario Generations for Renewable Energy Sources and Loads Based on Implicit Maximum Likelihood Estimations
- 2022
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : Journal of Modern Power Systems and Clean Energy. - 2196-5625 .- 2196-5420. ; 10:6, s. 1563-1575
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Tidskriftsartikel (refereegranskat)abstract
- Scenario generations for renewable energy sources and loads play an important role in the stable operation and risk assessment of integrated energy systems. This paper proposes a deep generative network based method to model time-series curves, e.g., power generation curves and load curves, of renewable energy sources and loads based on implicit maximum likelihood estimations (IMLEs), which can generate realistic scenarios with similar patterns as real ones. After training the model, any number of new scenarios can be obtained by simply inputting Gaussian noises into the data generator of IMLEs. The proposed approach does not require any model assumptions or prior knowledge of the form in the likelihood function being made during the training process, which leads to stronger applicability than explicit density model based methods. The extensive experiments show that the IMLEs accurately capture the complex shapes, frequency-domain characteristics, probability distributions, and correlations of renewable energy sources and loads. Moreover, the proposed approach can be easily generalized to scenario generation tasks of various renewable energy sources and loads by fine-tuning parameters and structures.
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| 10. |
- Yuan, Zhao, et al.
(författare)
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Second-order cone AC optimal power flow : convex relaxations and feasible solutions
- 2019
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Ingår i: Journal of Modern Power Systems and Clean Energy. - : Springer. - 2196-5625 .- 2196-5420. ; 7:2, s. 268-280
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Tidskriftsartikel (refereegranskat)abstract
- Optimal power flow (OPF) is the fundamental mathematical model to optimize power system operations. Based on conic relaxation, Taylor series expansion and McCormick envelope, we propose three convex OPF models to improve the performance of the second-order cone alternating current OPF (SOC-ACOPF) model. The underlying idea of the proposed SOC-ACOPF models is to drop assumptions of the original SOC-ACOPF model by convex relaxation and approximation methods. A heuristic algorithm to recover feasible ACOPF solution from the relaxed solution of the proposed SOC-ACOPF models is developed. The proposed SOC-ACOPF models are examined through IEEE case studies under various load scenarios and power network congestions. The quality of solutions from the proposed SOC-ACOPF models is evaluated using MATPOWER (local optimality) and LINDOGLOBAL (global optimality). We also compare numerically the proposed SOC-ACOPF models with other two convex ACOPF models in the literature. The numerical results show robust performance of the proposed SOC-ACOPF models and the feasible solution recovery algorithm.
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