Distributed Generation (DG) unlike centralized electrical generation aims to generate electrical energy on small scale as near as possible to the load centers, interchanging electric power with the network. Moreover, DGs influence distribution system parameters such as reliability, loss reduction and efficiency while they are highly dependent on their situation in the distribution network. This...

Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances to avoid this problem. However, the re-learning process wastes substantial learning time. To reduce learning time, we propose a novel incremental learning system, which consists of two neural networks: a main-learnin...

This paper describes the modelling and control optimisation of a power transmission system. This system was adapted from a simplified version of the ABB Test Case model (Larsson 2002), provided within Computation and Control (CC) project, with the addition of a variable capacitance, the control input parameter (μ). A search methods based control scheme taking advantage of the dynamic properties...

Micro-grid is a kind of distributed low-voltage supply network by integrating various distributed powers, energy storage systems and controlled load. In micro-grid, distributed power can be divided into certain and stochastic power. The prediction on supply capacity of micro-grid focuses on electric energy production by stochastic power. The wind energy power is predicted in this paper by suppo...

Sensitivity of neurons in the torus semicircularis of a weakly electric fish, Gymnarchus niloticus, to two stimulus parameters that are critical for its behavior the jamming avoidance response was examined. The first parameter is the sign of frequency difference between discharge frequencies of fish's own electric organ and that of a neighbor's. The second parameter is the spatial orientation o...

Electric vehicles (EVs) are an emerging type of mobile intelligent power consumption devices in Smart Grid as new green transport tools. In order to provide a powerful automation and intelligence support for wide area electric vehicles energy service network, we analyze the network infrastructure and communications demands of various terminals, devices and monitoring systems distributed in wide...

Abstract: In this paper, the charging loads of electric vehicles were controlled to avoid their impact on distribution networks. A centralized control algorithm was developed using unbalanced optimal power flow calculations with a time resolution of one minute. The charging loads were optimally reallocated using a central controller based on non-linear programming. Electric vehicles were rechar...