Reliable Electrical Delivery Research Articles

Education Provides a Foundation for Community Empowerment: IEEE Smart Village Programs Teach Residents Job, Technical, and Business Skills

The IEEE Smart Village (ISV) initiative uses a three-pronged approach to community development. The first is reliable electricity delivery that is large enough to serve the needs of the community. Education is the second area of focus, ensuring the long-term sustainability of the community development programs that are enabled by electrification and entrepreneurship. The third aspect involves empowering local entrepreneurs so that jobs are available and sustainable businesses thrive.

Agent-based restoration approach for reliability with load balancing on smart grids

Reliability and load balancing are essential techniques for smart grids that enable reliable electricity delivery to end customers. A smart grid needs configuration and restoration approaches that can react to blackouts in an economical way. However, the present approaches primarily focus on maximization of the restoration efficiency and the effect of function, while the trade-off between reliability and load balancing is usually ignored. In this paper, an agent-based approach is proposed to optimize the reliability of a system in the restoration process, considering load balancing as a constraint. A modified restoration strategy based on reinforcement learning, namely, the wolf pack algorithm (WPA), is proposed under the multi-agent framework and communication architecture. First, considering the constraints of the grid network and the dynamic load of the system, several types of agents are defined and abstracted to imitate physical entities. In addition, integrated with the WPA, the multi-agent system (MAS) is subsequently utilized to optimize the reliability of the system while considering the trade-off of load balancing. To verify the practicality of the approach, two cases based on a complex radial power network developed in Java are proposed. Ultimately, the sensitivity, effectiveness and expandability of the approach are analyzed.

Generator dynamic model validation and parameter calibration using phasor measurements at the point of connection

Power system model quality is key to safe and reliable electricity delivery. A novel method using disturbance data recorded by phasor measurement units (PMUs) is proposed to improve the integrity of dynamic models, which consists of both model validation and model parameter identification. In the model validation step, event playback is applied to simulate the model's response for a rigorous comparison with measured response captured by PMUs. A large mismatch indicates model deficiency. In the parameter identification step, an automatic calibration method using the extended Kalman filter (EKF) techniques and trajectory sensitivity analysis is formulated to save significant effort and time from manual tuning. Case studies are presented to demonstrate that the proposed method has adequate performance for model validation and parameter calibration in terms of accuracy, good convergence speed and robustness with respect to measurement noises. The proposed method is cost-effective and complements traditional equipment testing for improving dynamic model quality.

Location Based Security for Smart Grid Applications

Smart Grid (SG) promises efficient, sustainable, green and reliable electrical delivery by combining the existing electrical distribution network assets with modern information and communications technologies (ICT) in order to transfer information and energy in both directions. Introduction of these intelligent devices will help the grid monitor, protect, and automatically optimise the operation of interconnected elements, in addition to interaction between energy suppliers and consumers. However, this exposes the future grid to new security challenges and risks. In this paper, a framework for protecting Smart Grid applications using geographic location of the devices connected to it is proposed. With this framework, each device on the grid adds an extra layer of security. The proposed scheme is not application or device specific which means it can be implemented on any communication node on the grid. The scheme uses an algebraic code based cryptosystems known as GPT (Gabidulin -Paramonov-Trejtakov), which provides a very strong protection while utilising the smallest key size as compared to other cryptosystems based on algebraic codes. As with other code based cryptosystems, the proposed security framework protects grid information against cyber threats as well as against channel impairments in the form of error protection codes.

Power Line Communications for Smart Grid Applications

Power line communication, that is, using the electricity infrastructure for data transmission, is experiencing a renaissance in the context ofSmart Grid. Smart Grid objectives include the integration of intermittent renewable energy sources into the electricity supply chain, securing reliable electricity delivery, and using the existing electrical infrastructure more efficiently. This paper surveyspower line communications(PLCs) in the context of Smart Grid. The specificationsG3-PLC,PRIME,HomePlug Green PHY, andHomePlug AV2, and the standardsIEEE 1901/1901.2andITU-T G.hn/G.hnemare discussed.