A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems
- Authors: Pham, Tan , Dao, Minh , Shah, Rakibuzzaman , Sultanova, Nargiz , Li, Guoyin , Islam, Syed
- Date: 2023
- Type: Text , Journal article
- Relation: Numerical Algorithms Vol. 94, no. 4 (2023), p. 1763-1795
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- Description: In this paper, we consider a class of structured nonconvex nonsmooth optimization problems, in which the objective function is formed by the sum of a possibly nonsmooth nonconvex function and a differentiable function with Lipschitz continuous gradient, subtracted by a weakly convex function. This general framework allows us to tackle problems involving nonconvex loss functions and problems with specific nonconvex constraints, and it has many applications such as signal recovery, compressed sensing, and optimal power flow distribution. We develop a proximal subgradient algorithm with extrapolation for solving these problems with guaranteed subsequential convergence to a stationary point. The convergence of the whole sequence generated by our algorithm is also established under the widely used Kurdyka–Łojasiewicz property. To illustrate the promising numerical performance of the proposed algorithm, we conduct numerical experiments on two important nonconvex models. These include a compressed sensing problem with a nonconvex regularization and an optimal power flow problem with distributed energy resources. © 2023, The Author(s).
Forced oscillation management in a microgrid with distributed converter-based resources using hierarchical deep-learning neural network
- Authors: Surinkaew, Tossaporn , Emami, Kianoush , Shah, Rakibuzzaman , Islam, Md Rabiul , Islam, Syed
- Date: 2023
- Type: Text , Journal article
- Relation: Electric Power Systems Research Vol. 222, no. (2023), p.
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- Description: In future microgrids (MGs), increasing penetration of distributed converter-based resources (DCRs) has inevitably resulted in the problem of inertia scarcity. The interaction, combination, and/or resonance among converter control loops of DCRs, forced inputs, grid parameters, parasitic elements in networks, and system dominant modes can lead to major forced oscillations (FOs). Previous research works mostly focused the problem of FOs on large-scale power systems. However, the effects of FOs in MGs may be more severe than large-scale power systems due to the lower system inertia. With different characteristics of each DCR, conventional FO management methods applied in large-scale power systems may be ineffective. In this paper, a unified AI-framework named hierarchical deep-learning neural network (HiDeNN) is proposed to effectively handle the FOs in a MG with DCRs. To properly managing the FOs, the HiDeNN is divided into three levels for FO detection, identification, and mitigation, respectively. By considering big data produced from DCRs, the HiDeNN is used to solve complicated FO management problems with a low computational demand. By comparison to conventional FO management methods, performances of the proposed HiDeNN are verified in the modified IEEE 13-node feeder with DCRs under various operating points and FO conditions. © 2023
Impact of MMC-HVDC control on power system dynamics : various concepts and parameterization
- Authors: Hasan, Mehedi , Shah, Rakibuzzaman , Amjady, Nima , Hossain, Md Jahangir , Islam, Syed
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, 3-6 December 2023, 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
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- Description: Recently, the modular multi-level converter (MMC) based HVDC has become a popular method for integrating offshore wind and other renewable sources into the AC grid. Several studies have reported the possible use of MMC-HVDC to enhance grid strength. However, the control concept, parameterization, and the non-linearity related to fault-ride through behavior of MMC-HVDC greatly affects the dynamics of the host AC system. With the increasing number of HVDC and the stochastic behavior of current power systems, it is essential to comprehensively assess the impact of various control concepts of HVDC and control parametrization on the AC system. An equivalent and modified model of the Great British system has been used for this analysis with the enhanced reactive power and voltage control model. The various tuning and parameterization of the phase-locked loop control system are considered. The simulations conducted using the DIgSILENT PowerFactory show the relations of the control parameterization with the rotor angle and the short-term voltage stability of the system. © 2023 IEEE.
Numerical model of cloud-to-ground lightning for pyroCb thunderstorms
- Authors: Barman, Surajit , Shah, Rakibuzzaman , Islam, Syed , Kumar, Apurv
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 16, no. (2023), p. 8689-8701
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- Description: This paper demonstrates a 2-D numerical model to represent two conceptual pyrocumulonimbus (pyroCb) thundercloud structures: i) tilted dipole and ii) tripole structure with enhanced lower positive charge layer, which are hypothesized to explain the occurrence of lightning flashes in pyroCb storms created from severe wildfire events. The presented model considers more realistic thundercloud charge structures to investigate the electrical states and determine surface charge density for identifying potential lightning strike areas on Earth. Simulation results on dipole structure-based pyroCb thunderclouds confirm that the wind-shear extension of its upper positive (UP) charge layer by 2-8 km reduces the electric field and indicates the initiation of negative surface charge density around the earth periphery underneath the anvil cloud. These corresponding lateral extensions have confined the probable striking zone of-CG and +CG lightning within 0-23.5 km and 23.5-30 km in the simulation domain. In contrast, pyroCb thundercloud possessing the tripole structure with enhanced lower positive charge develops a negative electric field at the cloud's bottom part to block the progression of downward negative leader and cause the surface charge density beneath the thundercloud to become negative, which would lead to the formation of +CG flashes. Later, a parametric study is conducted assuming a positive linear correlation between the charge density and aerosol concentration to examine the effect of high aerosol concentration on surface charge density in both pyroCb thunderclouds. The proposed model can be expanded into 3-D to simulate lightning leader movement, aiding wildfire risk management. © 2008-2012 IEEE.
An overview of demand response opportunities for commercial and industrial customers in the Australian NEM
- Authors: Amin, B.M. Ruhul , Shah, Rakibuzzaman , Hasan, Kaz , Tayab, Usman , Islam, Syed
- Date: 2022
- Type: Text , Conference paper
- Relation: 14th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2022, Melbourne, 20-23 November 2023, 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC) Vol. 2022-November
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- Description: Different demand response (DR) mechanisms available in the Australian national electricity market (NEM), such as wholesale, ancillary, emergency, and network DR could provide significant flexibility to maintain and enhance power system security and reliability. Australian Energy Market Operator (AEMO) is continually reviewing global practices working with different states and territories, and revising the legislative and technical requirements for integrating more DR participants into the national electricity market (NEM). Commercial and Industrial (CandI) customers have a higher potential to participate in DR with flexible larger loads and onsite distributed energy resources (DERs). The CandI customers can reduce their energy bills and earn incentives from operators through DR participation. This paper provides a comprehensive review of different types of DR mechanisms that have been used in the Australian NEM. Technical and legislative requirements to participate in DR for CandI customers have been identified and summarised. Furthermore, the challenges for DR participation and potential benefits have been highlighted. Finally, a look-up table is prepared to identify the suitability of CandI customers to participate in one or multiple DR mechanisms potentially. The findings of this paper can be used as a guiding tool for CandI customers to understand technical and legislative requirements for participating in different DR mechanisms in Australia and select the most appropriate DR mechanisms for maximising their benefits. © 2022 IEEE.
Modelling and experimental assessment of high-frequency oscillation in DC microgrid
- Authors: Habibullah, Mohammad , Shah, Rakibuzzaman , Mithulananthan, Nadarajah , Islam, Syed , Islam, Rabiul
- Date: 2022
- Type: Text , Conference paper
- Relation: 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022, New Delhi, India, 23-25 September 2022, 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)
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- Description: A comprehensive analytical simulation and experimental assessment of the DC microgrid (DCMG) under various disturbances are presented in this paper. The investigation shows that the disturbances can cause a significant impact, i.e., voltage deterioration and power oscillation at the common DC bus. The DC-link capacitance is identified as a critical parameter for power oscillation regulation on the DC bus. Furthermore, the experimental study reveals the adverse effect of the electromagnetic interference filter on the DC grid, which is usually employed to limit the oscillation in the DC grid. Furthermore, it should be worth noting that a single variable controller is not sufficient to handle significant or moderate disturbances. This paper's findings could be considered a guideline for a DC microgrid design. © 2022 IEEE.
Prediction of positive cloud-to-ground lightning striking zones for tilted thundercloud based on line charge model
- Authors: Barman, Surajit , Shah, Rakibuzzaman , Islam, Syed , Kumar, Apurv
- Date: 2022
- Type: Text , Conference paper
- Relation: 14th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2022, Melbourne, 20-23 November 2023, 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC) Vol. 2022-November
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- Description: Bushfire is known as one of the ascendant factors to create pyrocumulus thundercloud that causes the ignition of new fires by pyrocumulonimbus (pyroCb) lightning strikes mostly of positive polarity, and causes massive damage to nature and infrastructure. A conceptual model-based risk planning would be beneficial to predict the lightning striking zones on the surface of the earth underneath the pyroCb thundercloud. In this paper, a simple line charge structured thundercloud model is constructed in 2-D coordinates using the method of images to predict the probable +CG (positive cloud-To-ground) lightning striking zones on the earth's surface for tilted dipole thundercloud charge configuration. The electric potential distribution and ground surface charge density for tilted dipole thundercloud is investigated via continuously adjusting the position and charge density of its charge regions. Simulation results confirm the initiation of negative charged density for the wind shear extension of upper positive charge region by 2 to 8 km, and would expect +CG lightning to strike within 7.88 to 20 km around the earth periphery particularly in the direction of the cloud's forward flank. The proposed model would serve as the foundation to identify the probable lightning affected area as well as can also be extended to analyze the hazardous situation appears in wind energy farms or agricultural fencing situated nearby the power grid during pyroCb events. © 2022 IEEE.
Risk and resiliency assessments of renewable dominated edge of grid under high-impact low-probability events -a Review
- Authors: Surinkaew, Tossaporn , Shah, Rakibuzzaman , Islam, Syed
- Date: 2022
- Type: Text , Conference paper
- Relation: 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022, New Delhi, India, 23-25 September 2022, 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)
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- Description: Low-probability high-impact (HILP) events such as windstorms, earthquakes, wildfires, and floods, which can cause significant damages to power systems, are inevitable and unpredictable. Besides, uncertainties from distributed renewable energy resources may prevent conventional techniques to improve reliability of power grids. In previous research works, several strategies have been introduced to investigate risk and resiliency, and to find effective solutions to improve system reliability under such extreme events. In this paper, a critical review of these strategies is presented. Modelings of the HILP events are dis-cussed. In the conclusion, this paper pinpoints significant findings and give directions for robustly protecting power systems. © 2022 IEEE.
Forced oscillation in power systems with converter controlled-based resources- a survey with case studies
- Authors: Surinkaew, Tossaporn , Emami, Koanoush , Shah, Rakibuzzaman , Islam, Syed , Mithulananthan, N.
- Date: 2021
- Type: Text , Journal article
- Relation: IEEE Access Vol. 9, no. (2021), p. 150911-150924
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- Description: In future power systems, conventional synchronous generators will be replaced by converter controlled-based generations (CCGs), i.e., wind and solar generations, and battery energy storage systems. Thus, the paradigm shift in power systems will lead to the inferior system strength and inertia scarcity. Therefore, the problems of forced oscillation (FO) will emerge with new features of the CCGs. The state-of-the-art review in this paper emphasizes previous strategies for FO detection, source identification, and mitigation. Moreover, the effect of FO is investigated in a power system with CCGs. In its conclusion, this paper also highlights important findings and provides suggestions for subsequent research in this important topic of future power systems. © 2013 IEEE.
A new data driven long-term solar yield analysis model of photovoltaic power plants
- Authors: Ray, Biplob , Shah, Rakibuzzaman , Islam, Md Rabiul , Islam, Syed
- Date: 2020
- Type: Text , Journal article
- Relation: IEEE Access Vol. 8, no. (2020), p. 136223-136233
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- Description: Historical data offers a wealth of knowledge to the users. However, often restrictively mammoth that the information cannot be fully extracted, synthesized, and analyzed efficiently for an application such as the forecasting of variable generator outputs. Moreover, the accuracy of the prediction method is vital. Therefore, a trade-off between accuracy and efficacy is required for the data-driven energy forecasting method. It has been identified that the hybrid approach may outperform the individual technique in minimizing the error while challenging to synthesize. A hybrid deep learning-based method is proposed for the output prediction of the solar photovoltaic systems (i.e. proposed PV system) in Australia to obtain the trade-off between accuracy and efficacy. The historical dataset from 1990-2013 in Australian locations (e.g. North Queensland) are used to train the model. The model is developed using the combination of multivariate long and short-term memory (LSTM) and convolutional neural network (CNN). The proposed hybrid deep learning (LSTM-CNN) is compared with the existing neural network ensemble (NNE), random forest, statistical analysis, and artificial neural network (ANN) based techniques to assess the performance. The proposed model could be useful for generation planning and reserve estimation in power systems with high penetration of solar photovoltaics (PVs) or other renewable energy sources (RESs). © 2013 IEEE.
Impact of MMC-HVDC Control Parameter Selection on the Dynamic Performance of AC System
- Authors: Shah, Rakibuzzaman , Islam, Syed , Islam, Md Rabiul
- Date: 2020
- Type: Text , Conference paper
- Relation: 2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices; ASEMD 2020, Virtual Tianjin ;16 to 18 October 2020
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- Description: High penetration of voltage source converter (VSC) based system is anticipated in future power systems. This study discusses the interaction of modular multilevel converter (MMC) based high voltage dc (HVDC) system with the dynamic of the host ac network in the electromechanical time frame. The respective controls for MMC-HVDC system suitable for the stability studies in the electromechanical time-frame are considered. This paper gives insight into the effects of several important sensitivities such as (i) MMC control implementation, (ii) non linearity associated with the fault ride through implementation, and (iii) phase locked loop parameters on ac system dynamics. The comprehensive analysis has been performed using an equivalent model of Great British transmission system. © 2020 IEEE.