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Have you ever submitted an article to a reputable scientific journal only to have the paper rejected or sent back for major or even impossible...
@ARTICLE{7160638,
author={Shi, X. and Li, Y. and Cao, Y. and Tan, Y.},
journal={Power and Energy Systems, CSEE Journal of},
title={Cyber-physical electrical energy systems: challenges and issues},
year={2015},
month={June},
volume={1},
number={2},
pages={36-42},
abstract={Cyber-physical electrical energy systems (CPEES) combine computation, communication and control technologies with physical power system, and realize the efficient fusion of power, information and control. This paper summarizes and analyzes related critical scientific problems and technologies, which are needed to be addressed with the development of CPEES. Firstly, since the co-simulation is an effective method to investigate infrastructure interdependencies, the co-simulation platform establishment of CPEES and its evaluation is overviewed. Then, a critical problem of CPEES is the interaction between energy and information flow, especially the influence of failures happening in information communication technology (ICT) on power system. In order to figure it out, the interaction is analyzed and the current analysis methods are summarized. For the solution of power system control and protection in information network environment, this paper outlines different control principles and illustrates the concept of distributed coordination control. Moreover, mass data processing and cluster analysis, architecture of communication network, information transmission technology and security of CPEES are summarized and analyzed. By solving the above problems and technologies, the development of CPEES will be significantly promoted.},
keywords={Cyber-physical electrical energy systems;informationcommunication technology;power system;smart grid},
doi={10.17775/CSEEJPES.2015.00017},}
@INPROCEEDINGS{7170976,
author={Risbeck, Michael J. and Maravelias, Christos T. and Rawlings, James B. and Turney, Robert D.},
booktitle={American Control Conference (ACC), 2015},
title={Cost optimization of combined building heating/cooling equipment via mixed-integer linear programming},
year={2015},
month={July},
pages={1689-1694},
abstract={In this paper, we propose a mixed-integer linear program to economically optimize equipment usage in a central heating/cooling plant subject to time-of-use and demand charges for utilities. The optimization makes both discrete on/off and continuous load decisions for equipment while determining utilization of thermal energy storage systems. This formulation allows simultaneous optimization of heating and cooling subsystems, which interact directly when heatrecovery chillers are present. Nonlinear equipment models are approximated as piecewise-linear to balance modeling accuracy with the computational constraints imposed by online implementation and to ensure global optimality for the computed solutions. The chief benefits of this formulation are its ability to tightly control on/off switching of equipment, its consideration of cost contributions from auxiliary equipment such as pumps, and its applicability to large systems with multiple heating and cooling units in which a combinatorial problem must be solved to pick the optimal mix of equipment. These features result in improved performance over heuristic scheduling rules or other formulations that do not consider discrete decision variables. We show optimization results for a system with four conventional chillers, two heat-recovery chillers, and one hot water boiler. With a timestep of 1 h and a horizon of 48 h, the optimization problem can be solved to optimality within 5 minutes, indicating suitability for online implementation.},
keywords={Biological system modeling;Cooling;Generators;Load modeling;Optimization;Production;Switches},
doi={10.1109/ACC.2015.7170976},}
Design and Implementation of Real-Time Task’s Scheduling on ARM processor
Author : Boppani Krishna Kanth and G. Bhaskar Phani Ram
Pages : 2666-2670
Download PDF
Abstract
This paper is an RTOS based architecture designed for the purpose of mine detection. RTOS is a Process which will be done between hardware and application. Here, scheduling is the one which is used to avoid the delay between one application with another. We are using in the mobile communication to receiving the condition of the border level. Using mobile communication we are giving the indication to the monitoring section. The semantic time scheduling is done all applications at a time without any time delay.
Keywords: Robotics, RTOS, GSM, ARM.
Coordinated Electric Vehicle Charging Control with Aggregator Power Trading and Indirect Load Control
James J.Q. Yu, Junhao Lin, Albert Y.S. Lam, Victor O.K. Li
(Submitted on 4 Aug 2015)
Due to the increasing concern on greenhouse gas emmissions and fossil fuel security, Electric Vehicles (EVs) have attracted much attention in recent years. However, the increasing popularity of EVs may cause stability issues to the power grid if their charging behaviors are uncoordinated. In order to address this problem, we propose a novel coordinated strategy for large-scale EV charging. We formulate the energy trade among aggregators with locational marginal pricing to maximize the aggregator profits and to indirectly control the loads to reduce power network congestion. We first develop a centralized iterative charging strategy, and then present a distributed optimization-based heuristic to overcome the high computational complexity and user privacy issues. To evaluate our proposed approach, a modified IEEE 118 bus testing system is employed with 10 aggregators serving 30 000 EVs. The simulation results indicate that our proposed approach can effectively increase the total profit of aggregators, and enhance the power grid stability.
Subjects: Systems and Control (cs.SY)
@INPROCEEDINGS{7174716,
author={Powroznik, Piotr and Michta, Emil},
booktitle={Nonsinusoidal Currents and Compensation (ISNCC), 2015 International School on},
title={Elastic model of energy management in micro smart grid},
year={2015},
month={June},
pages={1-6},
abstract={In modern electric power systems (EPS) solutions based on advanced metering infrastructure (AMI) are required. The data collected by AMI could help to detect an emergency situations in EPS. AMI two way communications allows both to collect measuring data and control devices referred to as a nodes. Nodes providing control and measurement functions create a smart grid (SG). The smart grid nodes are appliances, power generation and storage capacity. In the case of power storage, these nodes can also take power, in the case of having to be recharged. Analysis of all possible power combining, for all three categories of nodes in even micro SG (MSG) may not be feasible due to time. A novel approach to the power management in MSG by use of an elastic management energy model have been presented in the paper.},
keywords={Artificial intelligence;Heating;Reliability;Security;Smart grids;balanced power selection;elastic management energy model;micro smart grids},
doi={10.1109/ISNCC.2015.7174716},}
pyfuzzy
is a framework to work with fuzzy sets and process them with operations of fuzzy logic.
For more information see also the Wikipedia category fuzzy logic.
Reads Fuzzy Control Language (FCL) files, if the antrl python runtime is available.
scikit-fuzzy (a.k.a. skfuzzy): Fuzzy logic toolbox for Python.
This package implements many useful tools for projects involving fuzzy logic, also known as grey logic.
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees.
Comparing text files requires time, effort, a large monitor and a good amount of patience, or simply just the right tools to do it without any of the aforementioned. If you are an editor that has to deal with multiple versions of a text file, or a developer that wants to check the various code revisions of a file, then the following tutorial is for you.
A few weeks ago, I felt inspired by articles from Jeff Kreeftmeijer and Armin Ronacher. I took some time to configure and fine-tune my Vim environment. A lot of new stuff made it into my .vimrc file and my .vim directory. This blog post is a summary describing what I’ve added and how I use it in my daily work.
Gooey - Turn (almost) any Python command line program into a full GUI application with one line.
The ability to customize tools to suit your needs is one of the great advantages of many Linux utilities. However, when you find yourself working on a new server, there is the issue of getting the settings you are comfortable with working in a new env.