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Prof. Dr. Jiashen Teh
School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

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Research Keywords & Expertise

0 Electric Vehicle
0 Demand side management (DSM)
0 Wind farm integration
0 Dynamic thermal rating systems (DTR)
0 Energy storage (ES)

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Dynamic thermal rating systems (DTR)
Demand side management (DSM)
Electric Vehicle

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Journal article
Published: 07 June 2021 in IEEE Access
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The increased integrations of intermittent renewable energy sources into power systems cause more power grid congestions and therefore system operators need more advanced control to relieve this pressure. The dynamic thermal rating (DTR) system is able to increase the thermal constraint and subsequently maximum loading of existing lines. This dynamic rating is achieved through real-time considerations of weather data and it is usually much higher than the traditional static thermal rating system. The operational tripping scheme (OTS), a variant of the wider system integrity protection scheme, also relieves line congestions but it does this by tripping pre-selected generators and this have the unwanted consequence of reducing power adequacy. This paper proposes the novel integration of DTR and OTS, while considering the inherent uncertainties of their sensors based on fuzzy numbers, to avoid unnecessary generation tripping due to conservative line ratings. This novel Fuzzy-DTR-OTS delays the tripping of generations, enhances the adequacy of power supply, improves system security and avoids high risk cascading black out inducing events.

ACS Style

Mohamed K. Metwaly; Jiashen Teh. Fuzzy Dynamic Thermal Rating System based SIPS for Enhancing Transmission Line Security. IEEE Access 2021, 9, 1 -1.

AMA Style

Mohamed K. Metwaly, Jiashen Teh. Fuzzy Dynamic Thermal Rating System based SIPS for Enhancing Transmission Line Security. IEEE Access. 2021; 9 ():1-1.

Chicago/Turabian Style

Mohamed K. Metwaly; Jiashen Teh. 2021. "Fuzzy Dynamic Thermal Rating System based SIPS for Enhancing Transmission Line Security." IEEE Access 9, no. : 1-1.

Journal article
Published: 13 February 2021 in Energy
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Penetrations of renewable energy sources, particularly solar energy, are increasing globally to reduce carbon emissions. Due to the intermittency of solar power, battery energy storage systems (BESSs) emerge as an important component of solar-integrated power systems due to its ability to store surplus solar power to be used at later times to avoid wastage and increase utilities profit. Conventionally, BESSs are by default placed on busses where solar farms are located, so that surplus solar power can be stored immediately without undergoing delivery over transmission lines and therefore avoid line losses. By extension, this placement method considers that each of the deployed BESS is dedicated to only the local solar farms. In other words, BESSs are deployed without considering network topology and cooperation among BESSs by pooling all their capacities to store surplus solar power is limited. Therefore, this paper proposes a method that optimally deployed BESSs and determined their capacity in a two-part framework to minimize solar energy curtailment, by considering network topology and power flow constraints. Results demonstrate that our proposed method is more efficient than the conventional deployment strategy in that it manages to store more surplus solar power.

ACS Style

Farihan Mohamad; Jiashen Teh; Ching-Ming Lai. Optimum allocation of battery energy storage systems for power grid enhanced with solar energy. Energy 2021, 223, 120105 .

AMA Style

Farihan Mohamad, Jiashen Teh, Ching-Ming Lai. Optimum allocation of battery energy storage systems for power grid enhanced with solar energy. Energy. 2021; 223 ():120105.

Chicago/Turabian Style

Farihan Mohamad; Jiashen Teh; Ching-Ming Lai. 2021. "Optimum allocation of battery energy storage systems for power grid enhanced with solar energy." Energy 223, no. : 120105.

Journal article
Published: 07 October 2020 in IEEE Access
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Integrating wind power with existing generation systems is one of the most important ways to decarbonise the power sector industry. However, integration must be considered in tandem with its effects towards the adequacy of power supply mainly due to the intermittency of wind. Costs of generators and reliability and carbon emission levels of new wind-integrated generation systems have to be considered. The diversity of demand levels by various load sectors presents an additional pressure on the adequacy of generation system, which should be considered during wind integration. Demand response is effective in relieving the load demands and reducing the number of peaks, but rescheduling energy usage incurs cost to utilities, which should be considered when it is used to aid the integrations of wind power. In this paper, a holistic methodology for optimising the integration of wind power in generation systems is proposed by considering all these factors. Multiple objectives of this optimisation are solved altogether when determining the solution considering their conflicting relationships. Analyses are based on practical data obtained from several real cases. Formulations of the optimisation objectives are generic enough to be useful in other generation systems.

ACS Style

Wei Chieh Khoo; Jiashen Teh; Ching-Ming Lai. Integration of Wind and Demand Response for Optimum Generation Reliability, Cost and Carbon Emission. IEEE Access 2020, 8, 183606 -183618.

AMA Style

Wei Chieh Khoo, Jiashen Teh, Ching-Ming Lai. Integration of Wind and Demand Response for Optimum Generation Reliability, Cost and Carbon Emission. IEEE Access. 2020; 8 (99):183606-183618.

Chicago/Turabian Style

Wei Chieh Khoo; Jiashen Teh; Ching-Ming Lai. 2020. "Integration of Wind and Demand Response for Optimum Generation Reliability, Cost and Carbon Emission." IEEE Access 8, no. 99: 183606-183618.

Journal article
Published: 23 September 2020 in IEEE Access
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This study proposes a methodology to optimise the use of average demand loss of each load bus to enhance line ratings and modify load curves, by minimising demand loss and network ageing due to elevated conductor temperatures. The considered lines are connected to load buses, operated with dynamic line rating technology and have actual conductor physical properties. The simulation of line failures considers line loadings, whose values are based on utilizations of the average demand loss of load buses where the lines are connected, and the remaining service life of the conductor. Demand response in the form of peak-shaving and valley-filling is used to modify load demand curves, with the allowable peak load reduced based on utilizations of the remaining average demand loss. The average demand loss values are determined in the preliminary screening module of the proposed method. Various trade-offs between ageing and reliability of the network are solved based on the two-objective non-sorting genetic algorithm and fuzzy decision-making method in the execution module of the proposed method. Results have shown that the proposed method is cost-effective in that it strategically increase line ageing slightly to enhance system reliability, by as much as 71.9%, based on the equal emphasis of network ageing and reliability, when compared with the scenario that only prioritizes the protection of network ageing. Line ageing is also 68.2% lower on average across the entire spectrum of rating exceedance (1% to 25%) compared to the scenario that only prioritizes enhancement of network reliability.

ACS Style

Wei Chieh Khoo; Jiashen Teh; Ching-Ming Lai. Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing. IEEE Access 2020, 8, 175319 -175328.

AMA Style

Wei Chieh Khoo, Jiashen Teh, Ching-Ming Lai. Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing. IEEE Access. 2020; 8 ():175319-175328.

Chicago/Turabian Style

Wei Chieh Khoo; Jiashen Teh; Ching-Ming Lai. 2020. "Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing." IEEE Access 8, no. : 175319-175328.

Journal article
Published: 18 September 2020 in IEEE Access
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Battery energy storage systems (BESS), demand response (DR) and the dynamic thermal rating (DTR) system have increasingly played important roles in power grids worldwide. In addition to storing energy, BESS can supply peak demands, thereby reducing the frequency of load interruptions and deferring new asset investments. However, study on the precise BESS sizing (i.e. energy and power ratings) to supply peak demands to improve the security of supply of transmission networks is still lacking. The combined efficacy of BESS, DR and DTR have also never been studied, because their simultaneous deployment has never been considered. The first contribution of this paper is proposing a probabilistic evaluation method to evaluate various combinations of BESS power ratings and energy capacities and determines their impacts on the reliability of transmission networks, in which peak demands are supported by charges stored in BESSs to address the security of supply problem. The second contribution extends the proposed method to examine the effects of deploying BESS alongside DR and DTR. Our results show that the security of power supply improves along with BESS sizing by as much as 37.2%, and that its reliability becomes more significant as its capability grows, with bigger BESS having more detrimental effects towards EENS as it becomes unavailable than smaller BESS does. DTR and DR reduce the requirements of BESS sizing without adversely affecting network reliability.

ACS Style

Mohamed Kamel Metwaly; Jiashen Teh. Probabilistic Peak Demand Matching by Battery Energy Storage Alongside Dynamic Thermal Ratings and Demand Response for Enhanced Network Reliability. IEEE Access 2020, 8, 181547 -181559.

AMA Style

Mohamed Kamel Metwaly, Jiashen Teh. Probabilistic Peak Demand Matching by Battery Energy Storage Alongside Dynamic Thermal Ratings and Demand Response for Enhanced Network Reliability. IEEE Access. 2020; 8 (99):181547-181559.

Chicago/Turabian Style

Mohamed Kamel Metwaly; Jiashen Teh. 2020. "Probabilistic Peak Demand Matching by Battery Energy Storage Alongside Dynamic Thermal Ratings and Demand Response for Enhanced Network Reliability." IEEE Access 8, no. 99: 181547-181559.

Review article
Published: 11 July 2020 in Sustainable Cities and Society
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Information and communication technology (ICT) is a vital addition to modern society living and is a crucial feature of the smart grid. It boosts the power system with the advantage of using intelligent infrastructure to aid monitoring, protection, bidirectional communication, supply safety, security and self-healing characteristics. ICT infrastructures are integrated into the power network by using technologies, such as active distribution networks, smart cities and societies, dynamic line ratings, special protection schemes and demand-side management programmes. Deployment of these technologies has beneficial impacts on the reliability of power systems. However, these infrastructures are naturally prone to failures and cybersecurity issues because of Internet of things standards, which can further jeopardise system reliability. Various studies have examined the effect of these technologies on the reliability of power systems whilst ignoring that the associated ICTs could be unavailable. Thus, this work comprehensively reviews studies that go beyond component-based reliability assessment and accounts for the impact of ICT integrations on system-wide reliability whilst explicitly considering the effects of malfunctions of the cyber system. Moreover, the paper presents quantitative and qualitative information about the impact of ICT deployed with various smart grid technologies and applications on the reliability of modern power systems.

ACS Style

Bilkisu Jimada-Ojuolape; Jiashen Teh. Surveys on the reliability impacts of power system cyber–physical layers. Sustainable Cities and Society 2020, 62, 102384 .

AMA Style

Bilkisu Jimada-Ojuolape, Jiashen Teh. Surveys on the reliability impacts of power system cyber–physical layers. Sustainable Cities and Society. 2020; 62 ():102384.

Chicago/Turabian Style

Bilkisu Jimada-Ojuolape; Jiashen Teh. 2020. "Surveys on the reliability impacts of power system cyber–physical layers." Sustainable Cities and Society 62, no. : 102384.

Journal article
Published: 29 June 2020 in IEEE Access
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A multiobjective framework that optimises the uprating of the line’s real-time thermal rating and capacity of battery storage against wind curtailment, network ageing and reliability is proposed. The two enhancements are limited to the accumulated expected amount and duration of wind power losses of each wind farm bus. In the framework, actual conductor properties, line failures due to thermal effects, weather data, battery operation policy and wind farm model are considered. The trade-off of the optimisation criteria, the Pareto front, is solved using the non-sorting genetic algorithm and fuzzy decision-making method. Results show that the conductor maximum allowable temperature affects all the three optimisation parameters, but battery efficiency only affects wind curtailment level.

ACS Style

Mohamed K. Metwaly; Jiashen Teh. Optimum Network Ageing and Battery Sizing for Improved Wind Penetration and Reliability. IEEE Access 2020, 8, 118603 -118611.

AMA Style

Mohamed K. Metwaly, Jiashen Teh. Optimum Network Ageing and Battery Sizing for Improved Wind Penetration and Reliability. IEEE Access. 2020; 8 (99):118603-118611.

Chicago/Turabian Style

Mohamed K. Metwaly; Jiashen Teh. 2020. "Optimum Network Ageing and Battery Sizing for Improved Wind Penetration and Reliability." IEEE Access 8, no. 99: 118603-118611.

Journal article
Published: 26 June 2020 in Energies
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This paper presents a new method for reducing the total harmonic distortion (THD) of photovoltaic (PV) systems by using an adaptive filter based on a predictive model. Instead of reducing the produced THD at each stage of the PV system, a one-step process is implemented at the end stage. The connection topology of the adaptive filter is similar to normal active and passive filters. The main difference is its ability to adjust the filtering coefficients while others cannot. The proposed method is applied to a single-phase standalone PV system by adopting least mean square (LMS), normalized LMS (NLMS) and leaky LMS algorithms to verify the validity of the proposed method. Various values of filter length and step size are evaluated, and results indicate that the proposed method can reduce THD in the current signal of the PV system significantly by using all of the mentioned algorithms. Different step sizes and filter lengths directly influence the effectiveness of the THD reduction, with small step sizes and long filters being the most effective. Amongst the algorithms, NLMS reduces THD the most, and LMS reaches the peak current value the fastest.

ACS Style

Liqaa Alhafadhi; Ching-Ming Lai; Jiashen Teh; Mohamed Salem. Predictive Adaptive Filter for Reducing Total Harmonics Distortion in PV Systems. Energies 2020, 13, 3286 .

AMA Style

Liqaa Alhafadhi, Ching-Ming Lai, Jiashen Teh, Mohamed Salem. Predictive Adaptive Filter for Reducing Total Harmonics Distortion in PV Systems. Energies. 2020; 13 (12):3286.

Chicago/Turabian Style

Liqaa Alhafadhi; Ching-Ming Lai; Jiashen Teh; Mohamed Salem. 2020. "Predictive Adaptive Filter for Reducing Total Harmonics Distortion in PV Systems." Energies 13, no. 12: 3286.

Journal article
Published: 06 March 2020 in Energies
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A patented bidirectional power converter was studied as an interface to connect the DC-bus of driving inverter, battery energy storage (BES), and ultracapacitor (UC) to solve the problem that the driving motor damages the battery life during acceleration and deceleration in electric vehicles (EVs). The proposed concept was to adopt a multiport switch to control the power flow and achieve the different operating mode transitions for the better utilization of energy. In addition, in order to improve the conversion efficiency, the proposed converter used a coupled inductor and interleaved-pulse-width-modulation (IPWM) control to achieve a high voltage conversion ratio (i.e., bidirectional high step-up/down conversion characteristics). This study discussed the steady-state operation and characteristic analysis of the proposed converter. Finally, a 500 W power converter prototype with specifications of 72 V DC-bus, 24 V BES, and 48 V UC was built, and the feasibility was verified by simulation and experiment results. The highest efficiency points of the realized prototype were 97.4%, 95.5%, 97.2%, 97.1%, and 95.3% for the UC charge, battery charge, UC discharge, the dual-energy in series discharge, and battery discharge modes, respectively.

ACS Style

Ching-Ming Lai; Jiashen Teh; Yuan-Chih Lin; Yitao Liu. Study of a Bidirectional Power Converter Integrated with Battery/Ultracapacitor Dual-Energy Storage. Energies 2020, 13, 1234 .

AMA Style

Ching-Ming Lai, Jiashen Teh, Yuan-Chih Lin, Yitao Liu. Study of a Bidirectional Power Converter Integrated with Battery/Ultracapacitor Dual-Energy Storage. Energies. 2020; 13 (5):1234.

Chicago/Turabian Style

Ching-Ming Lai; Jiashen Teh; Yuan-Chih Lin; Yitao Liu. 2020. "Study of a Bidirectional Power Converter Integrated with Battery/Ultracapacitor Dual-Energy Storage." Energies 13, no. 5: 1234.

Review
Published: 30 January 2020 in IEEE Access
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There has been a progressive development in the synthesis of Information and Communication Technologies (ICTs) in power networks recently. ICT systems have become a vital part of every aspect of our daily lives and its integration into the electric power system has become paramount. ICTs support efficient incorporation of activities of all stakeholders of the power system to certify a more cost-effective and sustainable power system. The power system will exhibit intelligent monitoring and control, bidirectional communication between stakeholders and power system elements, security and safety of supply and self-healing qualities. However, asides from the vast benefits ICTs, their implementation within the power network come with some drawbacks which include element failures, failures due to interdependencies as well as vulnerabilities to cyber-attacks. These drawbacks can impact the reliability of the power network negatively. The objective of this paper is to investigate the impact of ICTs integration on the reliability of power networks in terms of empirical validation of standard reliability indices. This study groups the findings into four perspectives, including the effects of cyber power interdependencies, ICT infrastructure failures, cyber-attacks and environmental conditions. As expected, results show that failures and maloperations in the ICT network have adverse effects on system reliability and careful considerations need to be made to dampen these shortcomings.

ACS Style

Bilkisu Jimada-Ojuolape; Jiashen Teh. Impact of the Integration of Information and Communication Technology on Power System Reliability: A Review. IEEE Access 2020, 8, 24600 -24615.

AMA Style

Bilkisu Jimada-Ojuolape, Jiashen Teh. Impact of the Integration of Information and Communication Technology on Power System Reliability: A Review. IEEE Access. 2020; 8 (99):24600-24615.

Chicago/Turabian Style

Bilkisu Jimada-Ojuolape; Jiashen Teh. 2020. "Impact of the Integration of Information and Communication Technology on Power System Reliability: A Review." IEEE Access 8, no. 99: 24600-24615.

Review
Published: 17 January 2020 in Journal of Renewable and Sustainable Energy
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The output power from a photovoltaic (PV) system varies due to its high dependency on the surrounding irradiance and temperature. To overcome this, a maximum power point (MPP) tracker is used alongside a DC-DC converter to track the varying power. The purpose of the DC-DC converter is to interface the PV system to the load on the grid or a standalone system by balancing the power between them. Selection of the appropriate DC-DC converter is essential because it plays an important role in the overall performance of the PV system. In this paper, various nonisolated conventional DC-DC converter topologies are reviewed, compared, and discussed. The review and discussion of each converter are based on the recent development of converters in terms of efficiency, steady state oscillation, number of components, voltage transfer, and tracking speed. The advantages and disadvantages of the recent topologies within this scope are also highlighted in this paper. A simulation work has been performed to validate the performance of all the reviewed converters using the perturb and observe MPP tracking algorithm under different sets of irradiance and temperature. Finally, this paper also provides a selection method to select the best converter in a stand-alone PV system.

ACS Style

L. Jotham Jeremy; Chia Ai Ooi; Jiashen Teh. Non-isolated conventional DC-DC converter comparison for a photovoltaic system: A review. Journal of Renewable and Sustainable Energy 2020, 12, 013502 .

AMA Style

L. Jotham Jeremy, Chia Ai Ooi, Jiashen Teh. Non-isolated conventional DC-DC converter comparison for a photovoltaic system: A review. Journal of Renewable and Sustainable Energy. 2020; 12 (1):013502.

Chicago/Turabian Style

L. Jotham Jeremy; Chia Ai Ooi; Jiashen Teh. 2020. "Non-isolated conventional DC-DC converter comparison for a photovoltaic system: A review." Journal of Renewable and Sustainable Energy 12, no. 1: 013502.

Journal article
Published: 15 January 2020 in IEEE Access
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The penetration of photovoltaic (PV) systems in power grids has substantially increased since the recognition of renewable energies. In a high solar-integrated network environment, an accurate forecast of the expected solar energy output is vital. One of the important factors that influence such forecast is the failure rates of PV systems. Therefore, a new and realistic reliability model of the PV system is proposed in this study. In contrast to the conventional reliability model, which uses fixed values of failure rates in a year, the proposed model considers various weather conditions, detailed PV system architecture, manufacturing quality and other necessary materials to determine the time-varying failure rates of the PV system. Results reveal that the proposed model produces monthly failure rates that are considerably different from the fixed yearly failure rate in which the difference in high latitude regions is more significant than that in tropical climate regions.

ACS Style

Hamza Abunima; Jiashen Teh. Reliability Modeling of PV Systems Based on Time-Varying Failure Rates. IEEE Access 2020, 8, 14367 -14376.

AMA Style

Hamza Abunima, Jiashen Teh. Reliability Modeling of PV Systems Based on Time-Varying Failure Rates. IEEE Access. 2020; 8 (99):14367-14376.

Chicago/Turabian Style

Hamza Abunima; Jiashen Teh. 2020. "Reliability Modeling of PV Systems Based on Time-Varying Failure Rates." IEEE Access 8, no. 99: 14367-14376.

Review paper
Published: 12 December 2019 in International Journal of Energy Research
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The use of photovoltaic (PV) systems has increased in recent years due to the high demand for clean energy sources. PV systems can utilize abundant and free energy from the sun, which is a substantial advantage. However, compared with other renewable technologies, the PV system still faces major obstacles such as high cost and low efficiency. In addition, fluctuating incident energy from the sun creates harmonics in the generated power that might lead to undesirable system performance. Total harmonic distortion (THD) is the ratio of distorted power to the main power of the signal, and is most commonly used to indicate the amount of signal distortion. THD has become a serious concern as more PV systems are integrated into grid systems. Previous research and reviews have attempted to reduce THD and its effect, but unfortunately focused on reducing THD at individual parts of the PV system. For the first time, this study holistically and systematically reviews the advances in THD reduction techniques for the entire PV system. The causes of harmonics, current solutions, and research gaps for further investigation are described in detail. Moreover, the current THD reduction techniques used in each stage of the PV system are compared, including their main benefits and drawbacks. Finally, this study recommends the use of adaptive filters as a possible solution for THD reduction because these filters have effectively reduced noise and disturbance in other systems.

ACS Style

Liqaa Alhafadhi; Jiashen Teh. Advances in reduction of total harmonic distortion in solar photovoltaic systems: A literature review. International Journal of Energy Research 2019, 44, 2455 -2470.

AMA Style

Liqaa Alhafadhi, Jiashen Teh. Advances in reduction of total harmonic distortion in solar photovoltaic systems: A literature review. International Journal of Energy Research. 2019; 44 (4):2455-2470.

Chicago/Turabian Style

Liqaa Alhafadhi; Jiashen Teh. 2019. "Advances in reduction of total harmonic distortion in solar photovoltaic systems: A literature review." International Journal of Energy Research 44, no. 4: 2455-2470.

Journal article
Published: 22 November 2019 in IEEE Access
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Integrations of renewable energies, particularly solar and wind, are increasing worldwide due to carbon emission reduction efforts and maturing technologies that have driven down the cost of their energy productions. Due to the intermittency of these renewable sources, the battery energy storage system often coexists alongside solar/wind energy systems. Integrating these two aspects into power systems requires the consideration of reliability, social wellbeing and environmental factors, which collectively form a multi-objective optimization problem that this paper aims to solve with the non-dominated sorting genetic algorithm. The proposed method is able to find optimum solutions that are equally beneficial to all factors – Pareto front – without being heavily biased to any one of them. The proposed method is separated into two parts by first optimizing the penetration of solar/wind energy, followed by the optimization of the energy storage capacity in the second part. The fuzzy decision making method is utilized to select a preferred solution from the Pareto front based on the assignment of the membership function values to reflect operator’s preferences. The proposed method was implemented on the IEEE Reliability Test System overlaid with the real sampled weather data. The proposed objectives in the optimization problem are also practical and useful for the expansion of generation systems.

ACS Style

Farihan Mohamad; Jiashen Teh; Hamza Abunima. Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems. IEEE Access 2019, 7, 169094 -169106.

AMA Style

Farihan Mohamad, Jiashen Teh, Hamza Abunima. Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems. IEEE Access. 2019; 7 ():169094-169106.

Chicago/Turabian Style

Farihan Mohamad; Jiashen Teh; Hamza Abunima. 2019. "Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems." IEEE Access 7, no. : 169094-169106.

Journal article
Published: 30 October 2019 in Sustainable Energy, Grids and Networks
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Increasing the penetration of wind energy in power networks is one of the ways to reduce industrial carbon footprint. However, the intermittency of wind speed inhibits the widespread installation of wind farms and hinders the share of wind energy. A way to tackle this problem is by installing a battery energy storage system (BESS) to store excess wind energy for future usage, such as when wind speed is low. The dynamic thermal rating (DTR) system is also beneficial in further enabling wind energy to be utilised and distributed to consumers by alleviating the congestion of power networks. However, despite the benefits of these technologies, the modelling of their joint reliability impacts on power networks has never been performed. This study presents for the first time the reliability modelling of the two technologies mentioned above. The models are realistic because they are based on actual weather conditions and the operating scenarios of power systems. Results show that both BESS and DTR systems can lower demand losses and increase the saved, supported and delivered wind energy depending on the settings of the two systems. Three new indices are introduced to measure wind energy-related performance.

ACS Style

Jiashen Teh; Ching-Ming Lai. Reliability impacts of the dynamic thermal rating and battery energy storage systems on wind-integrated power networks. Sustainable Energy, Grids and Networks 2019, 20, 100268 .

AMA Style

Jiashen Teh, Ching-Ming Lai. Reliability impacts of the dynamic thermal rating and battery energy storage systems on wind-integrated power networks. Sustainable Energy, Grids and Networks. 2019; 20 ():100268.

Chicago/Turabian Style

Jiashen Teh; Ching-Ming Lai. 2019. "Reliability impacts of the dynamic thermal rating and battery energy storage systems on wind-integrated power networks." Sustainable Energy, Grids and Networks 20, no. : 100268.

Journal article
Published: 04 October 2019 in IEEE Access
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Back-to-back high-voltage direct current systems are used to transfer electrical power between two asynchronous AC systems. The existing bi-pole back-to-back system (2PBTBS) can be converted into the four-pole back-to-back system (4PBTBS) to save in the required infrastructure for proposed installations. This upgrading provides four parallel 12-pulse DC circuits instead of only two 12-pulse DC circuits as in the existing 2PBTBS. The power transfer capability of each DC circuit in the proposed system is 25% of the original system capacity instead of 50% as in the existing 2PBTBS. The reliability of the proposed 4PBTBS is improved twice, and the line-to-line DC voltage levels are reduced to 50% in comparison with the existing 2PBTBS. In this study, the 4PBTBS and existing 2PBTBS are simulated using MATLAB/Simulink. Simulation result shows that the proposed 4PBTBS has four parallel 12-pules DC circuits at lower line-to-line DC voltage and higher power quality compared with the existing 2PBTBS. These results validate the performance of the proposed system obtained from upgrading the existing 2PBTBS.

ACS Style

Sabah Ramadhan Mohammed; Jiashen Teh; Mohamad Kamarol. Upgrading of the Existing Bi-Pole to the New Four-Pole Back-to-Back HVDC Converter for Greater Reliability and Power Quality. IEEE Access 2019, 7, 145532 -145545.

AMA Style

Sabah Ramadhan Mohammed, Jiashen Teh, Mohamad Kamarol. Upgrading of the Existing Bi-Pole to the New Four-Pole Back-to-Back HVDC Converter for Greater Reliability and Power Quality. IEEE Access. 2019; 7 (99):145532-145545.

Chicago/Turabian Style

Sabah Ramadhan Mohammed; Jiashen Teh; Mohamad Kamarol. 2019. "Upgrading of the Existing Bi-Pole to the New Four-Pole Back-to-Back HVDC Converter for Greater Reliability and Power Quality." IEEE Access 7, no. 99: 145532-145545.

Journal article
Published: 07 June 2019 in IEEE Access
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This study presents a risk-based management framework for transmission lines equipped with the dynamic thermal rating system. In this framework, future wind speed values required for calculating conductor temperature are forecasted using the auto-regressive moving-average model. The dynamic thermal model used in this study is based on the IEEE 738 standard. The forecasted conductor temperature is used to determine the associated conductor loss of tensile strength, i.e. the annealing degree of the conductor, on the basis of the Harvey model. A cost profile is also provided for tensile strength lost. Simultaneously, temperature and conductor age are used to predict the failure probability of the conductor using the Arrhenius–Weibull model. Lastly, the product of the economics of conductor annealing and conductor failure probability provides the risk value, which can be compared with the admissible risk. Results show that risk can be mitigated by reducing either conductor temperature or the applied duration of the conductor. Moreover, a desirable forecast of wind speed values also poses less risk and vice versa. Sensitivity analyses show that the considerations taken during the formulation of the framework is reasonable and they only affect the numerical results, thereby indicating that the proposed framework is robust against various operating conditions of the parameters considered in the framework.

ACS Style

Jiashen Teh; Ching-Ming Lai. Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System. IEEE Access 2019, 7, 76562 -76572.

AMA Style

Jiashen Teh, Ching-Ming Lai. Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System. IEEE Access. 2019; 7 (99):76562-76572.

Chicago/Turabian Style

Jiashen Teh; Ching-Ming Lai. 2019. "Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System." IEEE Access 7, no. 99: 76562-76572.

Journal article
Published: 10 May 2019 in IEEE Access
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The dwindling number of conventional power resources and its environmental impact have motivated a transition to renewable energy sources, such as solar power. Evaluating the reliability of solar power integration into power networks can help decision makers gauge the feasibility of their solar power projects. However, the stochastic and non-stationary nature of solar radiation are difficult to be modelled and can even hinder an accurate evaluation of reliability. A good solar model for accurately assessing solar-power-integrated systems should be able to retain the original statistical properties of the sampled solar radiation data. Therefore, this paper aims to develop a new robust and easy-to-use methodology for simulating solar radiation. The proposed model was compared with four other models, including the clearness index, auto-regressive moving average and two probability-distribution-based models. Five statistical tests, namely, F-test, diurnal distributions, PACF, mean and standard deviation, were performed for the comparison. The comparison results indicate that the proposed method effectively retains the statistical properties of the original data and outperforms all other models in the tests. Therefore, the proposed model can be used for assessing solar-power-integrated power systems.

ACS Style

Hamza Abunima; Jiashen Teh; Hussein Jumma Jabir. A New Solar Radiation Model for a Power System Reliability Study. IEEE Access 2019, 7, 64758 -64766.

AMA Style

Hamza Abunima, Jiashen Teh, Hussein Jumma Jabir. A New Solar Radiation Model for a Power System Reliability Study. IEEE Access. 2019; 7 (99):64758-64766.

Chicago/Turabian Style

Hamza Abunima; Jiashen Teh; Hussein Jumma Jabir. 2019. "A New Solar Radiation Model for a Power System Reliability Study." IEEE Access 7, no. 99: 64758-64766.

Conference paper
Published: 02 April 2019 in Lecture Notes in Electrical Engineering
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The intermittent nature of solar power poses a considerable challenge to the development of this industry. One of the implications of this characteristic is limiting the penetration capacity of PV system into the grid. This intermittent power source affects the voltage behavior at the point of common coupling (PCC) representing voltage rise along the distribution system feeder. This phenomenon may damage devices in the distribution system and customer side. Although it usually occurs for short time, it limits the level of solar power penetration in order to protect the distribution network. Reactive power control approach is used to maintain the voltage at PCC within the allowable bounds. However, this control approach is sometimes inadequate, especially in case of high PV power penetration level. This paper investigates combining two approaches, reactive power control and active power curtailment, in order to maintain the voltage level in case of high PV power penetration. Open Distribution System Simulator (OpenDSS) and MATLAB had been used. The IEEE 34-bus distribution test system was examined to demonstrate the effectiveness of this approach. The results showed that combining the two control approaches is effective to limit the voltage rise during high PV penetration. Adopting this control approach would enhance the grid safety and enlarge the hosting capacity for more PV power injection into the distribution network.

ACS Style

Hamza Abunima; Jiashen Teh; Hussein Jumma. An Investigation of Reactive-Active Power Control Approach for Grid-Connected PV Arrays in a Low Voltage Distribution System. Lecture Notes in Electrical Engineering 2019, 213 -219.

AMA Style

Hamza Abunima, Jiashen Teh, Hussein Jumma. An Investigation of Reactive-Active Power Control Approach for Grid-Connected PV Arrays in a Low Voltage Distribution System. Lecture Notes in Electrical Engineering. 2019; ():213-219.

Chicago/Turabian Style

Hamza Abunima; Jiashen Teh; Hussein Jumma. 2019. "An Investigation of Reactive-Active Power Control Approach for Grid-Connected PV Arrays in a Low Voltage Distribution System." Lecture Notes in Electrical Engineering , no. : 213-219.

Journal article
Published: 28 March 2019 in IEEE Access
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ACS Style

Jiashen Teh; Ching-Ming Lai. Reliability Impacts of the Dynamic Thermal Rating System on Smart Grids Considering Wireless Communications. IEEE Access 2019, 7, 41625 -41635.

AMA Style

Jiashen Teh, Ching-Ming Lai. Reliability Impacts of the Dynamic Thermal Rating System on Smart Grids Considering Wireless Communications. IEEE Access. 2019; 7 ():41625-41635.

Chicago/Turabian Style

Jiashen Teh; Ching-Ming Lai. 2019. "Reliability Impacts of the Dynamic Thermal Rating System on Smart Grids Considering Wireless Communications." IEEE Access 7, no. : 41625-41635.