Chao-Rong Chen

• PhD
• Professor at National Taipei University of Technology

The paper proposes based on meteorology data, especially for optimizing the operation of power generating electricity from photovoltaic energy. This paper proposes a novel methodology for very short term forecasting of hourly global solar irradiance (GSI). This methodology is a combination of k-nearest neighbor algorithm (k-NN) modelling and multil...

This paper proposes a novel methodology for very short term forecasting of hourly global solar irradiance (GSI). The proposed methodology is based on meteorology data, especially for optimizing the operation of power generating electricity from photovoltaic (PV) energy. This methodology is a combination of k-nearest neighbor (k-NN) algorithm modell...

Uninterruptible power systems in hydro plants under the surge environment of high exposure are susceptible to surge impact. In order to solve the problems of equipment malfunctions or failures caused by the surge, this paper applies the principle of surge energy transfer to design a low-voltage surge protection circuit, which prevents the surge fro...

Feeder incident information is quite useful for evaluating the quality of the electricity distribution system. The improving scheme can be taken based on this information as well. In this paper, an adequate way for gathering this information was developed and the related messages from SCADA historical event log were analyzed by a novel methodology....

In this study, the spark discharge risks on small relays in low-voltage circuits are evaluated based on the test current magnitude and the rate of current change of surge current. For the risk assessment of spark discharge caused by the high-voltage switching surge on the small relay in low-voltage circuits, there are fewer papers relevant to the t...

This article will studies of forecasting global irradiation (GI) for the short term at one station photo voltaic system (PV) which the station is located at center point between the eight other photovoltaic stations. Short-term forecasting model which is known as Artificial Neural Networks (ANNs) is divided into two models, the first model without...

Currently, self-healing is one of the most important functions in the smart grid. Meanwhile, fault detection, isolation, and restoration of feeder automation systems dominate the self-healing function in power distribution systems. The steps of the aforementioned function depend on the fault flag status of the feeder terminal unit. The conditions f...

Solar energy and other clean energy are emerging and growing rapidly in the globe nowadays. Solar energy with less carbon emission is renewable and clean energy for our living environment. Solar energy can be converted to electricity in photovoltaic (PV) devices, solar cells, or solar thermal/electric power plants. It is a current trend that solar...

Due to the substation automation, the supervisory control and data acquisition (SCADA) system is spreading that the protective relay settings can be modified through the network automatically. This work presents an overcurrent relay coordination decision for switching the relay settings to adaptive the off-peak loading in interconnected power syste...

The purpose of this research is to establish a decision model for improving the performance of solar farms. To investigate the interdependent interrelationship and influential weights among criteria for solar farms site selection, a hybrid MCDM model including decision-making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytic netw...

The primary purpose of this study is to provide methods that can be used to determine the most suitable drop height for shock testing military equipment, in an efficient and cost ineffective manner. Shock testing is widely employed to assess the performance of electronic systems, including military devices and civilian systems. Determining the heig...

Demand response (DR) is used mainly to help to schedule a customer’s power utilization based on the electricity price that is announced by the power distribution company so that both demand and supply can optimally benefit. The work proposes a users’ load model and the interior point method for optimal scheduling with elastic power utilization to m...

The increasing use of solar power as a source of electricity has led to increased interest in forecasting its power output over short-time horizons. Short-term forecasts are needed for operational planning, switching sources, programming backup, reserve usage, and peak load matching. However, the output of a photovoltaic (PV) system is influenced b...

This study describes the system simulation and implementation of the system integrity protection schemes (SIPS) in an independent, intensive, and island-type power system. It also elucidates a smart grid plan to provide grid security in this power grid. The proposed SIPS can prevent blackouts that could otherwise result from the transient instabili...

This paper proposes the optimal planning of soft starter characteristics for a large drain motor based on simulated annealing (SA). First, the planning of the soft starter characteristics is formulated as an optimization problem with minimal motor starting time; then, the constraints of the motor starting energy, power quality requirements, and min...

For mitigating the urgency of constructing power plant, alleviating supply pressure of power company, electricity scheduling of customers is a very important issue, wherein to promote demand response is a key factor. The demand response is mainly through electricity price publicized by utility company to guide customers in electricity scheduling, a...

The paper proposes an application of Hybrid Taguchi-Genetic Algorithm (HTGA) on short-term reactive power dispatch scheduling. HTGA is an algorithm combining traditional genetic algorithm of powerful global search function with Taguchi algorithm of orthogonal array and signal to noise ratio data, to reduce iteration times and acquire a better near...

This work presents a new approach to optimize overcurrent relay coordination in power distribution systems by using a genetic algorithm, involving transformer protection. An effective objective function with constraints is adopted to solve the relay coordination problem, considering not only the time setting but also the current setting multiplier....

This paper proposes a novel planning method using genetic algorithm (GA) to achieve minimization of load shedding. The frequency of a power system declines rapidly when generator outage occurs. The general solution is to install sufficient under-frequency relays to pull frequency back to normal range. In this study, a single machine infinite bus (S...

Penghu is embarking on an ambitious plan to tackle global warming by controlling all aspects of the island's energy supply. The energy plan looks to tackle the island's dependence on fossil fuels and its carbon emissions via an increased uptake of renewable energy and low carbon usage. It will also help the island develop more and better low carbon...

This study describes the optimal generator tripping planning for special protection system (SPS) in an independent power system. This SPS is dealing with the transient instability caused by transmission line N-3 contingencies. The immune algorithm is adopted to select the tripping generators in order to keep power system stable. Taiwan power system...

Conventional optimization methods for approaching overcurrent relay settings focus on minimizing the operating time of total relays at maximum fault current to accelerate the fault clearance time. However, to judge whether the entire relay curve of each relay pair always meets the constraints of 0.2 or 0.3 sec to the object curve is rather difficul...

Penghu, Taiwan, has the potential to be one of the most valuable sources of wind energy in the world. A 59-km submarine cable that connects Taiwan to Penghu Island is currently in the planning phase, and a large-scale offshore wind farm around Penghu will be developed. This will be the first offshore wind farm to be planned in Taiwan and will have...

This study employs evolution strategy (ES) to solve optimal chiller loading (OCL) problem. ES overcomes the flaw that Lagrangian method is not adaptable for solving OCL as the power consumption models or the kW-PLR (partial load ratio) curves include convex functions and concave functions simultaneously. The complicated process of evolution by the...

In this paper a modified genetic algorithm is used to perform the IDMT overcurrent relay coordination applied in an industrial plant radial power distribution system for quickly getting the result of the best coordination comparing with the computer-aided software of traditional method. The result shows that it is fast and adoptable compared to the...

This paper is proposed an optimal shunt capacitor planning of a transmission system using genetic algorithm. The genetic algorithm is used to And optimal shunt capacitor single unit capacity of various voltages rank and the install positions for peak power system and control the bus voltage to the reasonable range. The genetic algorithm has the adv...

The capacity of lead-acid storage battery for communication system has been long estimated by constant current discharge method in the past. It spends a lot of time and labor and wastes more energy. This paper proposes a new method combining the measured data of battery discharge and the back-propagation neural network. After they are trained and l...

Genetic algorithm contains the characteristics of global search that can be applied in solving the traveling salesman problem effectively. In this paper, we propose a novel problem of maximizing the length of a non-intersecting closed route in which each node, except for the starting point, is only visited once. The genetic algorithm of the traveli...

This paper is proposed an on-line optimal shunt capacity dispatch of a transmission system. Firstly, the genetic algorithm is applied to do the optimal reactive power dispatch in order to control the buses voltages within the safety margins for peak power system. Simulation results show that the GA obtains the good performances on the power system....

This paper proposes practical predictions of hospital air-conditioner electricity using the artificial neural network, owing to its excellent predict ability. The influence variables of hospital air-conditioner electricity are included temperature, relative humidity, the previous one hour electricity, the time in day, and some uncontrolled variable...

Special protection systems or system protection schemes (SPS) is art for power system, i.e. there is no standard SPS solution for different systems. This paper presents SPS concept to solve transient instability problem in an isolated and longitudinal power system. In this power system, usually, the flow direction is south to north (STN), which mea...

An optimization method was proposed to solve the bus voltage-rise problems when newly establish the transmission lines and transformer stations, which is caused by using a large number of underground cables. The modified genetic algorithm was applied to do the optimal reactive power dispatch in order to control the buses voltages within the safety...

This paper investigates the transient phenomena when switching high voltage shunt reactors on the operation of Tai-power system. Two cases that shunt reactors were installed respectively at 345 kV line's two terminals and 161 kV station busbar were studied and compared. When shunt reactor was closing, high unsymmetrical currents could be occurred w...

Self-organizing neural networks have topological characteristics that can be effectively used in solving the traveling salesman problem. In this paper we propose a novel problem of maximizing the length of a non-intersecting closed route in which each node, except for the starting point, is only visited once. The self-organizing network algorithm o...

This paper uses a real load test to investigate the effect of various harmonic orders and phase angles on the operation performance of a three-phase induction motor. In the test, the voltage harmonic orders from 2 to 7 with the voltage distortion factors (VDF) 15% and 20%, respectively, were chosen, and according to different phase angle, each harm...

This paper proposes a new approach to dynamic stability assessments of power systems. This approach applies the supervised concept to a clustering neural network, and directly uses the voltage magnitudes or frequencies of buses. In this method, the threshold of clustering is adapted to acquire desired categories, and a noise-tolerant parameter is a...

An approach based on artificial neural networks is proposed for the analysis of electromechanical modes in Taiwan power system. To evaluate the dynamic performance of a power system in system operation and planning, the dominant eigenvalues for the worst-damped electromechanical mode must be computed. A multilayer feedforward artificial neural netw...

A new approach using an artificial neural network is proposed to adapt power system stabilizer (PSS) parameters in real time. A pair of online measurements i.e., generator real-power output and power factor which are representative of the generator's operating condition, are chosen as the input signals to the neural net. The outputs of the neural n...

Tuning of power system stabilizers (PSS) is investigated using an artificial neural network (ANN). To have good damping characteristics over a wide range of operating conditions, it is desirable to adapt the PSS parameters in real-time based on generator loading conditions. To do this, a pair of on-line measurements, i.e. generator real power outpu...

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In the developed artificial neural network, those system variables which play an important role in steady-state stability, such as generator outputs and power system stabilizer parameters, are used as the inputs. The output of the neural net provides the information on steady-state stability. Once the connection weights of the neural network have b...

A new type of artificial neural network is proposed for the steady-state stability analysis of a synchronous generator. In the developed artificial neural network, those system variables which play an important role in steady-state stability such as generator outputs and power system stabilizer parameters are employed as the inputs. The output of t...