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| 1 | Recent advancement on technical requirements for grid integration of wind power显示文摘The installation of wind energy has experienced rapid development during recent years.As a result,the operation of power system can be greatly affected.Therefore,the operators of different countries have formulated the grid codes which reinforce technical requirements for wind power plants.In this paper,recent grid codes published in different countries have been carefully reviewed.The basic requirements of active power control and reactive power compensation,both of which have particular influence on wind power plants operation,are focused on.Based on this review,it is understood that with the increasing integration of wind energy,there is a worldwide trend to regulate the performance of wind power plants so that they can contribute to the stability and reliability of power system. | Xiaoge LIU Zhao XU Kit Po WONG | 2013 | Journal of Modern Power Systems and Clean Energy2013，1，3： | 19 |
| 2 | A low-carbon oriented probabilistic approach for transmission expansion planning显示文摘Following the deregulation of the power industry,transmission expansion planning(TEP)has become more complicated due to the presence of uncertainties and conflicting objectives in a market environment.Also,the growing concern on global warming highlights the importance of considering carbon pricing policies during TEP.In this paper,a probabilistic TEP approach is proposed with the integration of a chance constrained load curtailment index.The formulated dynamic programming problem is solved by a hybrid solution algorithm in an iterative process.The performance of our approach is demonstrated by case studies on a modified IEEE 14-bus system.Simulation results prove that our approach can provide network planners with comprehensive information regarding effects of uncertainties on TEP schemes,allowing them to adjust planning strategies based on their risk aversion levels or financial constraints. | Jing QIU Zhaoyang DONG Junhua ZHAO Ke MENG Fengji LUO Kit Po WONG Chao LU | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，1： | 8 |
| 3 | An online maximum power point capturing technique for highefficiency power generation of solar photovoltaic systems显示文摘This paper proposes a novel high-efficiency generation technique for photovoltaic(PV) system,named maximum power point capturing(MPPC) technique. This is an aperiodic perturbation MPPC technique compared to the conventional periodic perturbation maximum power point tracking technique. Firstly, under a closed-loop circuit and an open-loop circuit,the complete I-V curves and P-V curves are defined. Secondly, the proposed MPPC technique is based on the complete I-V curves and a practical model of solar PV systems.The proposed method realizes that maximum power point(MPP) is captured online, and its control strategy is designed to set a steady operating area around MPP. The duty cycle keeps constant when the operating point is within the steady operating area, i.e., aperiodic perturbation, and when the operating point is outside the steady operating area, MPPC is triggered to capture a new MPP with an updated steady operating area. Simulation results demonstrate that no oscillations exist in steady-state;dynamic performances are improved;and only two perturbations are required to capture the new MPP. Using the proposed MPPC method,low voltage ride through and high voltage ride through can be prevented. | Lijun ZHANG Samson Shenglong YU Tyrone FERNANDO Herbert Ho-Ching IU Kit Po WONG | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，2： | 8 |
| 4 | Sequential quadratic programming particle swarm optimization for wind power system operations considering emissions显示文摘In this paper,a computation framework for addressing combined economic and emission dispatch(CEED)problem with valve-point effects as well as stochastic wind power considering unit commitment(UC)using a hybrid approach connecting sequential quadratic programming(SQP)and particle swarm optimization(PSO)is proposed.The CEED problem aims to minimize the scheduling cost and greenhouse gases(GHGs)emission cost.Here the GHGs include carbon dioxide(CO_(2)),nitrogen dioxide(NO_(2)),and sulphur oxides(SO_(x)).A dispatch model including both thermal generators and wind farms is developed.The probability of stochastic wind power based on the Weibull distribution is included in the CEED model.The model is tested on a standard system involving six thermal units and two wind farms.A set of numerical case studies are reported.The performance of the hybrid computational method is validated by comparing with other solvers on the test system. | Yang ZHANG Fang YAO Herbert Ho-Ching IU Tyrone FERNANDO Kit Po WONG | 2013 | Journal of Modern Power Systems and Clean Energy2013，1，3： | 5 |
| 5 | Distributed Control of Thermostatically Controlled Loads in Distribution Network with High Penetration of Solar PV显示文摘High penetration of solar energy can result in voltage rise in midday,while growth in residential air conditioning is the main contributor of overloading and voltage drop issues during peak demand time.This paper provides a hierarchical control scheme to coordinate multiple groups of aggregated thermostatically controlled loads to regulate network loading and voltage in a distribution network.Considering the limited number of messages that can be exchanged in a realistic communication environment,an event-triggered distributed control strategy is proposed in this paper.Through intermittent on and off toggling of air conditioners,the required active power adjustment is shared among participating aggregators to solve the issue.A case study is conducted and simulation results are presented to demonstrate the performance of the proposed control scheme. | Ke Meng Dongxiao Wang Zhao Yang Dong Xiaodan Gao Yu Zheng Kit Po Wong | 2017 | CSEE Journal of Power and Energy Systems2017，3，1： | 4 |
| 6 | A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model显示文摘This paper proposes a day-ahead dispatch framework of thermostatically controlled loads(TCLs) for system peak load reduction. The proposed day-ahead scheduling framework estimates the user’s indoor thermal comfort degree through the building thermal inertia modelling. Based on the thermal comfort estimation, a dayahead TCL scheduling model is formulated, which consists of 3 stages: TCL aggregator estimates maximal controllable TCL capacities at each scheduling time interval by solving a optimization model;[ the system operator performs the day-ahead system dispatch to determine the load shedding instruction for each aggregator;and ′the TCL aggregator schedules the ON/OFFcontrol actions of the TCL groups based on the instruction from the system operator. A heuristic based optimization method, history driven differential evolution(HDDE)algorithm, is employed to solve the day-ahead dispatch model of the TCL aggregator side. Simulations are conducted to validate the proposed model. | Yingying CHEN Fengji LUO Zhaoyang DONG Ke MENG Gianluca RANZI Kit Po WONG | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，3： | 3 |
| 7 | Multi-objective Distributed Wind Generation Planning in an Unbalanced Distribution System显示文摘In addition to increasing penetration of distributed generation(DG),the distribution system power flow may be significantly impacted by direction and magnitude.This paper proposes a method for optimal placement of wind DG considering the unbalanced operation of distribution systems.The objective function includes static voltage stability index,three-phase unbalance index,system reliability index,and DG investment cost.The untransposed distribution lines and unbalanced load are modelled,and corresponding static voltage stability index and system reliability considering DG penetrations are derived.The expected and stochastic daily distributed generation and demand profiles in four seasons are calculated to improve the accuracy.To solve this multi-objective optimization model,a fuzzy membership function is used to integrate the four individual objectives,and a sensitivity-based method is proposed to solve the model efficiently.Case study on IEEE 13-bus distribution 3-phase networks and 123-node test feeder successfully verifies the performance of the proposed approach. | Yu Zheng Zhao Yang Dong Ke Meng Hongming Yang Mingyong Lai Kit Po Wong | 2017 | CSEE Journal of Power and Energy Systems2017，3，2： | 2 |
| 8 | Short-term hydrothermal scheduling with reservoir volume constraints,Ⅰ,Simulated annealing approach显示文摘 | Kit Po Wong and Yin Wa Wong | 1993 | Advances in Power System Control Operation and Management1993，，2： | 1 |
| 9 | Solving power system optimization problems using simulated annealing显示文摘 | Wong Kit Po | 1995 | Engineering Applications of Artificial Intelligence1995，8，6： | 1 |
| 10 | Evolutionary- programming-based Algorithm for Environmentally-constrained Eeconomic Dispatch 显示文摘 | Kit Po Wong Jason Yuryevich | 1998 | IEEE Trans on Power Systems1998，13，2： | 1 |
| 11 | A method of utilizing non-source measurements for harmonic state estimation显示文摘 | Van Long Pham Kit Po Wong Neville Watson | 2000 | Electric Power Systems Research2000，56，： | 1 |
| 12 | Evolutionary programming based optimal power flow algorithm显示文摘 | Jason Yuryevich Kit Po Wong | 1999 | IEEE Trans on Power Systems1999，14，4： | 1 |
| 13 | Solving Power System Optimization Problems Using Simulated Annealing显示文摘 | Wong Kit Po | 1995 | Engineering APplications of Artificial Intelligence1995，8，6： | 1 |
| 14 | An advanced quantum- inspired evolutionary algorithm for unit commitment 显示文摘 | CHUNG C Y YU Han WONG Kit Po | 2011 | IEEE Transactions on Power Systems2011，26，2： | 1 |
| 15 | Combined genetic algorithm/simulated annealing/fuzzy set approach to short-term generation scheduling with take-or-pay fuel contract 显示文摘 | Kit Po Wong Yin Wa Wong Suzannah | 1996 | IEEE Trans on Power Systems1996，11，1： | 1 |
| 16 | Solving Power System Optimization Problems Using Simulated Annealing显示文摘 | Wong Kit Po | 1995 | Engineering Applications of Artificial Intelligence1995，，8： | 1 |
| 17 | Solving power system optimization problems us-ing simulated annealing显示文摘 | Kit Po Wong | 1995 | Engineering Applications of Artifi-cial Intelligence1995，8，： | 1 |
| 18 | Solving power system optimization problems using simulated annealing显示文摘 | Wong Kit Po | 1995 | Engineering Applications of Artificial Intelligence1995，8，6： | 1 |
| 19 | Developing Curricula to Encourage Students to Write Reflective Journals显示文摘 | David Kember Alice Jones Alice Loke Jan McKay Kit Sinclair Harrison Tse Celia Webb Frances Wong Marian Wong Po Wa Yan Ella Yeung | 1996 | Educational Action Research1996，，3： | 1 |
| 20 | Evolutionary programming based optimal power flow algorithm显示文摘 | Jason Yuryevich Kit Po Wong | 1999 | IEEE Trans on Power Systems1999，14，4： | 1 |
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