Home| Join Now | Sign In | Trainers Login              
SPIRO, Spiro, project for student, student projects



For Project Enquiry +91 9791 044 044

To Search
Last Live Projects with video description
VLSI Projects, Student Projects, Best Projects, College Projects Matlab Projects, vlsi projects Final Year Projects in Chennai , Final Year Training Projects in Chennai
Slideshow Image 1
Energy Management in the Decentralized Generation Systems Based on Renewable Energy Ultra capacitors and Battery to
Post Your concept Get Project
It is purposely dedicated for innovative students. Here we encourage students who have new concepts and projects in various domains.

For Project Title

Project Zone > Electrical > Embedded

Social share: Facebook SPIRO Google Plus

Energy Management in the Decentralized Generation Systems Based on Renewable Energy - Ultra capacitors and Battery to

Category : Embedded

Sub Category : Energymanagemet

Project Code : ITEEE07

Project Abstract


          Microgrid (MG) is a promising component for future smart grid (SG) deployment. The balance of supply and demand of electric energy is one of the most important requirements of MG management. In this paper, we present a novel framework for smart energy management based on the concept of quality-of-service in electricity (QoSE). Specifically, the resident electricity demand is classified into basic usage and quality usage. The basic usage is always guaranteed by theMG, while the quality usage is controlled based on the MG state. The microgrid control center (MGCC) aims to minimize the MG operation cost and maintain the outage probability of quality usage, i.e., QoSE, below a target value, by scheduling electricity among renewable energy resources, energy storage systems, and macrogrid. The problem is formulated as a constrained stochastic programming problem. The optimization technique is then applied to derive an adaptive electricity scheduling algorithm by introducing the QoSE virtual queues and energy storage virtual queues. The proposed algorithm is an online algorithm. We derive several “hard” performance bounds for the proposed algorithm, and evaluate its performance with trace-driven simulations. The simulation results demonstrate the efficacy of the proposed electricity scheduling Algorithm.


Existing System

Proposed System

      Ø  Now days, the nonrenewable energy only used for home appliance.

      Ø  There is no scheduling method is available.


Drawbacks of existing system

        Ø  The manual work is needed.

         Ø   Power consumption.

      Ø  Demand for Nonrenewable energy source.

Ø  In proposed system, we can propose a new adaptive energy scheduling system.

Ø  Here we use the renewable energy source like solar panel.

Advantages of proposed system

Ø  Low cost

Ø  Reduce the power demand.

Ø  Efficient power distribution



Training and Developemet, Engg Projects
So far we have provided R&D training for more than 1,00,000 engineering Students.
Latest Projects 2012, Latest Technologiy Project
Had conducted seminars in the recent trends of technology at various colleges.
Our research projects had been presented in various National & International Conferences.
Most of our projects were identified by the industries as suitable for their needs.
Our n-number of students got research scholarship to extend our assisted projects for further development.
Training and Developemt, Project Development in Chennai
SPIRO guarantees small class sizes.
Final Year Projects
SPIRO guarantees quality instructors.
Student Projects, Stupros
SPIRO guarantees competence.
Projects, student projects
SPIRO guarantees that training from SPIRO will be more cost-effective than training from any other source.
Final Year Projects, Projects, student projects
SPIRO guarantees that students in open-enrollment classes are protected against cancellations and will be able to receive desired training at the cost they expect and in the time frame they have planned.
Projects for student
SPIRO guarantees overall quality with a 100% money-back guarantee. If you're not totally satisfied for any reason, simply withdraw before the second day of any class. Notify the instructor and return all course materials and you will receive a 100% refund.
For ECE,EEE,E&I, E&C & Mechanical,Civil, Bio-Medical
#1, C.V.R Complex, Singaravelu St, T.Nagar, Chennai - 17,
(Behind BIG BAZAAR)Tamilnadu,India
Mobile : +91-9962 067 067, +91-9176 499 499
Landline : 044-4264 1213
Email: info@spiroprojects.com

#78, 3rd Floor, Usman Road, T.Nagar, Chennai-17.
(Upstair Hotel Saravana Bhavan) Tamilnadu,India
Mobile: +91-9791 044 044, +91-9176 644 044
E-Mail: info1@spiroprojects.com
About Us | Project Training | Privacy policy | Disclaimer | Contact Us

Copyright © 2015-2016 Stupros All rights reserved.