Coordinated generation and transmission maintenance scheduling using mixed integer linear programming

Scheduling of electrical equipment for maintenance tasks is crucial in power system planning as it would affect system operating cost and security. Most existing Mixed Integer Linear Programming (MILP) approaches do not address the interactions between Generation Maintenance Scheduling (GMS), Transmission Maintenance Scheduling (TMS) and Security-Constrained Unit Commitment (SCUC). This research develops a MILP algorithm for the GMS, TMS and SCUC sub-problems to improve the accuracy of coordinated generation and transmission maintenance scheduling. Power flow equation which is based on sensitivity factors is modified to improve the accuracy of transmission maintenance scheduling. To reduce the complexity of the solution procedure as well as to enhance accuracy of the maintenance scheduling model, coupling constraints equations have been formulated to integrate the GMS, TMS and SCUC sub-problems. To further improve the maintenance scheduling ability, a new technique for total operating cost assessment is developed based on an hourly basis to achieve the lowest possible operating cost. Numerical case studies were evaluated on the 6-bus, IEEE 118-bus and utility systems. A comparative study is carried out between the coordinated and individual maintenance scheduling, MILP and Lagrangian Relaxation (LR) approaches, and the maintenance scheduling based on the hourly and day-to-day basis. Simulation results show that coordinated maintenance scheduling is superior to individual maintenance scheduling as it yields lower operating costs. Besides, the proposed MILP outperformed the LR with a cost reduction of up to 5% and lowered the gap tolerance by 0.13%. Moreover, cost saving of nearly 0.14% was achieved using the hourly basis in comparison to the day-to-day basis. From this research, it can be concluded that coordinated maintenance scheduling can provide optimal maintenance schedule which would benefit most of the system planners

A novel intelligent detection schema of series arc fault in photovoltaic (PV) system based convolutional neural network

Series Arc Fault (SAF) can be defined as the failure that occurs between any electrical contact and any electrical circuitry. However, it considered one of the common failures that affect the operation of the PV system and causes serious problems such as fires and electrical shock hazards. Several reasons increase the possibility of this type of failures such as incorrect installation, irregular maintenance, and some environmental effects. This paper presents a new intelligent and accurate detection method of SAF in the PV system. In this method, Convolutional neural networks (CNN) which is a discriminative (supervised) deep learning algorithm used for the process of fault detection. In normal cases, the signal consists of DC component, inverter component and noise of Network. In the case of SAF, a new component will add to the signal; therefore, CNN used to discriminate against the new component to accurately detect the SAF. PSCAD is used to generate the Arc fault model; Performance evaluation and the results of the proposed method implemented using Python. The achieved accuracy of the proposed detection method is 98.9%.

Models, detection methods, and challenges in DC arc fault: A review

The power generation of solar photovoltaic (PV) technology is being implemented in every nation worldwide due to its environmentally clean characteristics. Therefore, PV technology is significantly growing in present applications and usage of PV power systems. Despite the strength of the PV arrays in power systems, the arrays remain susceptible to certain faults. An effective supply requires economic returns, the security of the equipment and humans, precise fault identification, diagnosis, and interruption tools. Meanwhile, the faults in unidentified arc lead to serious fire hazard to commercial, residential, and utility-scale PV systems. To ensure a secure and dependable distribution of electricity, the detection of such hazard is crucial in the early phases of the distribution. In this paper, a detailed review on modern approaches for the identification of DC arc faults in PV is presented. In addition, a thorough comparison is performed between various DC arc-fault models, characteristics, and approaches used for the identification of the faults

A review on unmanned aerial vehicle for high altitude visual inspection

The unmanned aerial vehicle (uav) uav is an operation aircraft with no pilot on board. Basically, uav operates more flexible, and observable compared to ground approaches or other aerial methods which is airplanes and satellites for high altitude visual inspection purposed. This paper provides a review by studying significant research works on unmanned aerial vehicle for high altitude visual inspection. In particular, the working principle of uav, related works on the uav system for visual inspection using quadcopter and related works on the quadcopter performance are briefly described in this paper. Further research based on reviewed works will be conducted to improve previous experimental work

Design of current control mode for wind turbine application

Stochastic nature of the wind speed is the main reason that leads to variability of output power of wind farm. Thus high penetration of the wind farm will cause power fluctuation and voltage variation in grid system. Current control method was designed to control power flow in the grid system hence the occurrence of fluctuant power can be eliminated in the network. A new technique using mathematical modeling was developed in designing the control system. The block diagram of this control system was built based on the dynamic analysis of the circuit by assuming the steady state condition. Some parameters for instance proportional and integral gain were determined based on the assumption of the values of line inductance, resistance and time constant . MATLAB/simulink tool was used to scrutinize the performance of the designed model. The performance of the designed control system is investigated by comparing the results between with and without control system and the results were also investigated in fault condition. The results show that the current control method has high potential in control power leveling in the grid system