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CODE	PROJECT TITLE	ABSTRACT	YEAR
EBP01	An Optimal Power Scheduling Method for Demand Responsein Home Energy Management System	In this paper, we first introduce a general architecture of energy management system (EMS) in a home area network (HAN) based on the smart grid and then propose an efficient scheduling method for home power usage. The home gateway (HG) receives the demand response (DR) information indicating the real-time electricity price that is transferred to an energy management controller (EMC). With the DR, the EMC achieves an optimal power scheduling scheme that can be delivered to each electric appliance by the HG. Accordingly, all appliances in the home operate automatically in the most cost-effective way.	2013
EBP02	Management of Mechanical Vibration and Temperature in Small Wind Turbines Using Zigbee Wireless Network	This paper presents the development of a methodology to manage the mechanic vibration and temperature from Wind Turbine. The objective is propose a new diagnostic and protection tool through analysis and monitoring signals of vibration and temperature from wind turbines, aiming predict a need of preventive maintenance and mostly avoids catastrophic failures. A wireless transmission system using technology Zigbee. The software of User friendly interface will have the functionality plus online display of received data also the possibility of storing and reporting data rates of vibration and temperature obtained during monitoring	2013
EBP03	Intelligent Household LED Lighting System Considering Energy Efficiency and User Satisfaction	Saving energy has become one of the most important issues these days. The most waste of energy is caused by the inefficient use of the consumer electronics. Particularly, a light accounts for a great part of the total energy consumption. Various light control systems are introduced in current markets, because the installed lighting systems are outdated and energy-inefficient. However, due to architectural limitations, the existing light control systems cannot be successfully applied to home and office buildings. Therefore, this paper proposes an intelligent household LED lighting system considering energy efficiency and user satisfaction. The proposed system utilizes multi sensors and wireless communication technology in order to control an LED light according to the user’s state and the surroundings. The proposed LED lighting system can autonomously adjust the minimum light intensity value to enhance both energy efficiency and user satisfaction. We designed and implemented the proposed system in the test bed and measured total power consumption to verify the performance.	2013
EBP04	Model Predictive and Genetic Algorithm-Based Optimizationof Residential Temperature Control in the Presence of  Time-Varying Electricity Prices	This paper presents an optimal control algorithm for residential temperature regulation. The combination of concepts from system identification, model-predictive control, and genetic algorithms result in an optimization methodology capable of achieving an acceptable compromise between comfort and cost in the presence of constant as well as time-varying electricity prices. Simulation results demonstrate that the proposed approach has the potential to achieve substantial energy savings and cost reductions while maintaining acceptable comfort levels with minimal consumer participation.	2013
EBP05	Crack Depth Estimation by Using a Multi-Frequency ECT Method	In this paper, a novel measurement method able to improve the characterization of the crack depth is proposed. It is based on the use of a suitable multi-frequency excitation signals and of digital signal processing algorithms. Tests carried out in an emulation environment have shown the applicability of the method and have allowed the tuning of the measurement algorithm. Tests carried out in a real environment confirm the goodness of the proposal.	2013
EBP06	Speed Control of Electrical Drives Using Classical Control Methods	This paper presents Perhaps speed control of electrical drives. The reasons for this interest—despite that the mechanical dynamics are only first order—are, most likely, that the dynamics may be nonlinear and/or time varying and that it often is essential to gain both good speed-reference tracking and good load-torque rejection. The latter two objectives cannot both be met with a standard one-degree-of-freedom (1DOF) proportional (P)–integral (PI) controller. An enhancement is to employ two-degreeof- freedom (2DOF) PI control e.g., the so-called integral–P (IP) control. Alternative methods include the usage of a phase-locked loop, auto-disturbance rejection, load-torque estimation and feed forward, and adaptive techniques. Various nonlinear methods, including fuzzy logic, neural networks, and sliding mode (variable structure) control, have also been proposed. Reference offers a comparison of PI and fuzzy speed control.	2013
EBP07	Green Charge: Managing Renewable Energy in Smart Buildings	This paper describes about the management of renewable energy in household buildings.  Distributed energy generation is one of the methods that reduces energy transmission wastages.  And it also reduces the usage of grid supply.  Thereby reducing the cost of energy usage.  Distributed energy generation is implemented by using more than one energy source capable of supplying the load separately.  The major disadvantage of distributed generation since the energy source that are being used in distributed generation can supply the load for a particular amount of time.  For example, wind energy can be supplied only at times when the wind flows in the area where the wind turbine located.	2013
EBP08	Remote-Control System of High Efficiency and Intelligent Street Lighting Using a Zigbee Network of Devices and Sensors	The proposed remote-control system can optimize management and efficiency of street lighting systems. It uses Zigbee-based wireless devices which enable more efficient street lamp-system management, thanks to an advanced interface and control architecture. It uses a sensor combination to control and guarantee the desired system parameters: the information is transferred point by point using Zigbee transmitters and receivers and is sent to a control terminal used to check the state of the street lamps and to take appropriate measures in case of failure.	2013
EBP09	The Wireless Transmission Design of a Novel Electronic Current Transformer	This study presents a novel electronic current transformer (ECT), which is based on the Hall current transformer (HCT), and a wireless transmission system. The novel ECT is aimed to be used in both measuring and protective current transformers, and the design of the wireless communication makes ECTs more flexible for current measurements at different current levels in power systems. The novel ECT can be separated into three main circuits, including sensing circuit, analog-to-digital conversion circuit, and wireless circuit.	2013
EBP10	Uncertainty-Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home	In this paper, a new demand side management technique, namely, a new energy efficient scheduling algorithm is proposed to arrange the household appliances for operation such that the monetary expense of a customer is minimized based on the time-varying pricing model. The proposed algorithm takes into account the uncertainties in household appliance operation time and intermittent renewable generation. Compared to a traditional scheduling scheme which models typical household appliance operations in the traditional home scenario, the proposed deterministic linear programming based scheduling scheme achieves up to 45% monetary expense reduction, and the proposed stochastic design scheme achieves up to 41% monetary expense reduction.	2013
EBP11	Embedded System In to a Wireless Sensor Network for Online Dynamic Torque and Efficiency Monitoring in Induction Motor.	Embedded system debugging involves more conceptual layers of a target system than debugging for time-sharing systems. Consider the case of debugging a C program within a time-sharing system. User-debugger interaction occurs almost entirely at a C language level of abstraction. Descent into assembly language and machine code representations of a target program is rare. Suspicions about a compiler bug may require inspection of generated assembly code.	2012
EBP12	Optimal Power Management of Residential Customers in The Smart Grid	Recently intensive efforts have been made on the transformation of the world’s largest physical system, the power grid, into a “smart grid” by incorporating extensive information and communication infrastructures. Key features in such a “smart grid” include high penetration of renewable and distributed energy sources, large-scale energy storage, market-based online electricity pricing, and widespread demand response programs. From the perspective of residential customers, we can investigate how to minimize the expected electricity cost with real-time electricity pricing, which is the focus of this paper. By jointly considering energy storage, local distributed generation such as photovoltaic (PV) modules or small wind turbines, and inelastic or elastic energy demands, we mathematically formulate this problem as a stochastic optimization problem and approximately solve it by using the Lyapunov optimization approach. From the theoretical analysis, we have also found a good tradeoff between cost saving and storage capacity. A salient feature of our proposed approach is that it can operate without any future knowledge on the related stochastic models (e.g., the distribution) and is easy to implement in real time. We have also evaluated our proposed solution with practical data sets and validated its effectiveness.	2012
EBP13	Design and Implementation of a ZigBee-Based wireless Automatic Meter Reading System	Along with the continuous complexity of power system, how to measure the operating data of large substation in real time accurately and safely is a fairly difficult problem. Aimed at such a problem, this paper presents the design and implementation of a novel system for automatic-detection and auto-control based on BIOS-ARM7SEP4020 development board BIOS, chip CC2420 as ZigBee-based RF communication and GPRS technology. Via this system, it is able to calculate the operating data, do the DFT and seize unexpected errors by analyzing changes of the harmonic component or the frequency. This system supports a basic warning device, and can automatically control output signals. Meanwhile, this system has following characteristics: high sensitivity, low cost, wireless communication, visual touch screen operation options, online supervision and intelligent control, thus, this system has a significant applied value in practice.	2012
EBP14	Real-time Household Load Priority Scheduling Algorithm Based on Prediction of Renewable Source Availability	We propose a real-time household load priority scheduling algorithm based on renewable source availability prediction to maximize the benefits of renewable sources and minimize the total cost of energy consumption with consumers’ comfort constraints. Home appliances are assigned dynamic priority according to their different energy consumption modes and their corresponding status. Hour-byhour weather forecast is considered to predict the availability of the renewable sources. Based on the allocated priority, home appliances are scheduled according to the predicted output of renewable sources and the forecast electricity market price. In addition, to effectively schedule appliances according to the real-time output of renewable sources and the electricity market price changes, which generally deviate from the corresponding forecasting, an algorithm for realtime household load scheduling is proposed and its benefits on cost and energy efficiency are discussed as well.	2012
EBP15	Sensor Network Based Oil Well Health Monitoring and Intelligent Control	Most oil pumping units (OPUs) have been using manual control in the oilfield. This existing oil-pumping system, a high power-consuming process, has the incapability of OPU’s structural health monitoring. In this paper, a sensor network based intelligent control is proposed for power economy and efficient oilwell health monitoring. The proposed sensor network consists of three-level sensors: (1) several types of basic sensors, such as load sensor, angular sensor, voltage sensor, current sensor and oil pressure sensor, which are the first level sensors (FLS), are used for oilwell data sensing; (2) our developed intelligent sensors (IS), which belong to the second level sensor, are designed mainly for an oilwell’s data elementary processing, main fault alarm/indication, typical data storage/indication, data/status transmission up to the third level sensor (TLS), data/status transmission between IS, and command transmission down to the OPU motor; and (3) our developed software-defined (SD) control centers with an embedded database, i.e., the TLS, are designed for hundreds of oilwells data storage/management, data processing, malfunction detection, malfunction alarm/indication, stroke-adjustment command transmission down to a specific IS for power economy and the malfunction report to the maintenance staff via global system for mobile communications (GSM) short message service (SMS). Experiment results at the Chinese Petroleum’s Changqing Oilfield demonstrate our proposed sensor network based system.	2012