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Featured researches published by Kein Huat Chua.


IEEE Transactions on Power Delivery | 2012

Energy Storage System for Mitigating Voltage Unbalance on Low-Voltage Networks With Photovoltaic Systems

Kein Huat Chua; Yun Seng Lim; Phil Taylor; Stella Morris; Jianhui Wong

The growth of building integrated photovoltaic (BIPV) systems in low-voltage (LV) networks has the potential to raise several technical issues, including voltage unbalance and distribution system efficiency. This paper proposes an energy storage system (ESS) for mitigating voltage unbalance as well as improving the efficiency of the network. In the study, a power system simulation tool, namely PSCAD, is used to model two generic LV networks, BIPV systems and an ESS in order to simulate the performance of the networks with various levels of BIPV penetrations. A control algorithm is developed and implemented in the energy storage model in order to study the ability of the ESS to mitigate network voltage unbalance and reduce losses. Experimental studies are carried out in the experimental small-scale energy zone to investigate the effectiveness of the energy storage system under various levels of PV penetration and load conditions. The simulation and experimental studies carried out clearly show the effectiveness of the ESS in reducing the voltage unbalance factor and improving the efficiency of the two networks considered.


International Journal of Energy Sector Management | 2016

Energy storage system for peak shaving

Kein Huat Chua; Yun Seng Lim; Stella Morris

Purpose – The main purpose of this study is to provide an effective sizing method and an optimal peak shaving strategy for an energy storage system to reduce the electrical peak demand of the customers. A cost-savings analytical tool is developed to provide a quick rule-of-thumb for customers to choose an appropriate size of energy storage for various tariff schemes. Design/methodology/approach – A novel sizing method is proposed to obtain the optimum size of energy storage for commercial and industrial customers based on their historical load profile. An algorithm is developed to determine the threshold level for peak shaving. One of the buildings at Universiti Tunku Abdul Rahman (UTAR), Malaysia, is chosen for this study. A three-phase energy storage system rated at 15 kVA is developed and connected to the low-voltage electrical network in the building. An adaptive control algorithm is developed and implemented to optimize the peak shaving. Findings – The sizing analysis shows that the customer under th...


ieee international conference on power and energy | 2010

Improved performance of PMSM speed responses using a hybrid Fuzzy/ PI controller

Kein Huat Chua; Yun Seng Lim; Stella Morris; Jianhui Wong

This paper presents an improved performance of a Permanent Magnet Synchronous Motor (PMSM) using a hybrid Fuzzy/ Proportional-Integral (PI) controller. Hybrid control has an advantage of integrating a superiority of two or more control techniques for better control performances. A fuzzy controller offers better speed responses for start-up and large reference input changes (large speed error) as compared to a Proportional-Integral controller. Nevertheless, a rules-based fuzzy controller is limited to a particular operating condition. If the nature of the load torque is varied, the steady-state error of the fuzzy logic controller will be significant. The Proportional-Integral controller has good adaptability over load torque variation and can maintain high steady-state accuracy. However, the transient responses are quite poor. This study has incorporated a Fuzzy and PI into the control of PMSM to improve its dynamic speed performances. The simulation is carried out using Matlab Simulink.


GREEN AND SUSTAINABLE TECHNOLOGY: 2nd International Symposium (ISGST2017) | 2017

Fuzzy-driven energy storage system for mitigating voltage unbalance factor on distribution network with photovoltaic system

Jianhui Wong; Yun Seng Lim; Stella Morris; Ezra Morris; Kein Huat Chua

The amount of small-scaled renewable energy sources is anticipated to increase on the low-voltage distribution networks for the improvement of energy efficiency and reduction of greenhouse gas emission. The growth of the PV systems on the low-voltage distribution networks can create voltage unbalance, voltage rise, and reverse-power flow. Usually these issues happen with little fluctuation. However, it tends to fluctuate severely as Malaysia is a region with low clear sky index. A large amount of clouds often passes over the country, hence making the solar irradiance to be highly scattered. Therefore, the PV power output fluctuates substantially. These issues can lead to the malfunction of the electronic based equipment, reduction in the network efficiency and improper operation of the power protection system. At the current practice, the amount of PV system installed on the distribution network is constraint by the utility company. As a result, this can limit the reduction of carbon footprint. Therefore,...


Archive | 2017

Economic Assessment of Standby Diesel Generator for Peak Reduction in Commercial and Industrial Buildings: A Case Study in Malaysia

Kein Huat Chua; Yun Seng Lim; Jee Xiong Chew

This paper outlines the barriers and potential benefits of using standby diesel generators in mitigating the peak demands for commercial and industrial customers. The feasibility of utilizing the standby diesel generators to reduce the electricity bills for customers is carried out by using the hybrid optimization model for electric renewable (HOMER) software. The size of the standby diesel generator and its operational duration are determined based on the lowest cost of electricity obtained from the evaluations. The economic assessments demonstrate that there is potential to reduce the electricity bills for commercial and industrial customers under the existing fuel price and tariffs. The commercial customers under the tariff C2 have the highest potential to save their electricity bills with the use of standby diesel generators for peak reduction. This study demonstrates the potential of the standby diesel generators in peak reduction.


Journal of Energy Engineering-asce | 2017

Active Control Strategy of Energy Storage System for Reducing Maximum Demand Charges under Limited Storage Capacity

Lee Cheun Hau; Yun Seng Lim; Kein Huat Chua

AbstractCommercial and industrial customers are subject to monthly maximum demand charges, which can be as high as 30% of the total electricity bill. A battery-based energy storage system (BESS) ca...


IOP Conference Series: Earth and Environmental Science | 2017

Peak reduction for commercial buildings using energy storage

Kein Huat Chua; Yun Seng Lim; Stella Morris

Battery-based energy storage has emerged as a cost-effective solution for peak reduction due to the decrement of batterys price. In this study, a battery-based energy storage system is developed and implemented to achieve an optimal peak reduction for commercial customers with the limited energy capacity of the energy storage. The energy storage system is formed by three bi-directional power converter rated at 5 kVA and a battery bank with capacity of 64 kWh. Three control algorithms, namely fixed-threshold, adaptive-threshold, and fuzzy-based control algorithms have been developed and implemented into the energy storage system in a campus building. The control algorithms are evaluated and compared under different load conditions. The overall experimental results show that the fuzzy-based controller is the most effective algorithm among the three controllers in peak reduction. The fuzzy-based control algorithm is capable of incorporating a priori qualitative knowledge and expertise about the load characteristic of the buildings as well as the useable energy without over-discharging the batteries.


Journal of Energy Engineering-asce | 2016

Distributed Energy Storage with Real and Reactive Power Controller for Power Quality Issues Caused by Renewable Energy and Electric Vehicles

Khim Yan Lim; Yun Seng Lim; Jianhui Wong; Kein Huat Chua

AbstractThe integration of renewable energy sources (RE) and electric vehicles (EV) into the low voltage (LV) networks can create a number of power quality issues. RE or EV can cause voltage unbalance and low power factor when it injects or absorbs real power from the network. The energy storage system can be connected to the network to manipulate the power flow from or to those devices with the use of reactive power as a complementary support, hence correcting the voltage unbalance and power factor effectively without wasting any generated energy. To be able to correct the voltage unbalance and power factor effectively under the intermittent power of RE and EV, a novel fuzzy controller is developed and implemented in the energy storage to manipulate the flow of real and reactive power between the energy storage and the network based on the network conditions. The fuzzy controller is able to reduce any voltage excursions with the use of real and reactive power from the energy storage, hence reducing the v...


International Journal of Smart Grid and Clean Energy | 2013

Battery energy storage system for peak shaving and voltage unbalance mitigation

Kein Huat Chua; Yun Seng Lim; Stella Morris


Energy Procedia | 2011

Mitigation of Voltage Unbalance in Low Voltage Distribution Network with High Level of Photovoltaic System

Kein Huat Chua; Jianhui Wong; Yun Seng Lim; Phil Taylor; Ezra Morris; Stella Morris

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Yun Seng Lim

Universiti Tunku Abdul Rahman

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Stella Morris

Universiti Tunku Abdul Rahman

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Jianhui Wong

Universiti Tunku Abdul Rahman

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Ezra Morris

Universiti Tunku Abdul Rahman

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