The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 28-409
Full Name: Karthik ravi teja Machiraju
Position: Student
Age: ON
Sex: Male
Address: Plot No.143, H.No.5-3/2/102, Padmavathy Colony, Boda uppal, Hyderabad, Andhra Pradesh, 500 039
Country: INDIA
Tel: 9703254132
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E-mail address: ravitezamk@gmail.com
Other E-mails: ravitezamk@yahoo.co.in
Title of the Paper: dsm techniques and fuzzy logic application to an air conditioner - a case study
Authors as they appear in the Paper: P Ravibabu Vikaschandra Ch P Rashmi reddy A Praveen Karthik ravi teja M
Email addresses of all the authors: ravi_dsm@rediffmail.com, vikaschandra.ch@gmail.com, p.rashmireddy@gmail.com, abbu.raju@gmail.com, ravitezamk@gmail.com
Number of paper pages: 12
Abstract: The most flexible, un-substitutable form of energy in the recent times is electrical energy. It is a coveted form of energy because it can be generated centrally in bulk and transmitted economically over long distances. It has been a critical resource for all nation building activities which keep the countries' wheels on progress and economy to prosper. So, demand for electricity is on the ever increasing side. As this electrical energy can be easily converted into other forms of energy, ease of its control has fed to the increase in demand in both the industrial and domestic sectors. Due to this over increase in demand for electrical energy, the demand for high quality, reliable power supply has compelled the power engineers to focus their attention on the new technological developments in the power sector operation and improvement. So, in order to overcome this ever growing demand for electricity, in general the generating plants like hydro, thermal, nuclear, die!
sel are being installed. But the natural fuel resources for this type of generating plants are limited and not renewable. Further, uncertainties in fuel availability, quality of fuel, high level prices and environmental barrier put a crimp on installation of new generating plants. Unfortunately, the present day technology has not yet been developed to that extent of tapping effectively and reliably the enormous amount of energy present in nature such as solar, wind, tidal, geothermal energy. Under these circumstances, one of the options left is to utilize the available electrical power very effectively by energy conservation. Energy conservation is concerned with those actions which reduce the total energy consumption. Examples of energy conservation include the use of more or better loss prevention methods, better efficiency and curtailment of activities to reduce the overall consumption of electrical energy. According to H.G.Gopal, it is in the best interest of the utilit!
y companies as well as the consumer to try to reduce these high peaks
demand profile as much as possible. While reducing the peak demands, however, utility companies will also need to compete for new customers and ensure current customer satisfaction with their performance and services as a new model (direct load control) based on fuzzy logic technique, which shows savings in electrical energy consumption and payback period. P.Ravibabu describes a fuzzy logic and differential tariff technique based on demand side management (DSM) strategy showed simulation results of the proposed DSM strategy. Among the various advancements in the power sector Demand Side Management in power systems is latest technology. The concept of DSM was developed in mid 1980's to meet the problems faced by both supplier as well as consumer. The main objective of this present work is to introduce the concept of DSM and a detailed implementation of DSM techniques to an industrial customer.
Keywords: DSM: Demand Side Management, DT: Differential Tariff, LPT: Load Priority Technique, EUEC: End Use Equipment Control, PCVF: Peak Clipping and Valley Filling, AC: Air Conditioner, OT: outside temp, PT: Preferred temp. CL: comfort level, Time: time of the day.
EXTENSION of the file: .doc
Special (Invited) Session: dsm techniques and fuzzy logic application to an air conditioner - a case study
Organizer of the Session: 599-237
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