User-controlled electrical energy consumption towards optimized usage of electricity infrastructure

User-controlled electrical energy consumption towards optimized usage of electricity infrastructure

The paper is describing dynamic intelligent technique enabling sharing communication network resources through the internet to achieve controlled electrical energy consumption. The scheme is an endeavour towards achieving a Dynamic Smart Grid environment, which allows the users take deliberate and timely decision to reduce/curtail electrical loads when system contingencies arise. This implies the development and implementation of a dynamic intelligent energy management system, which allows the user to withdraw electrical energy in a conscious, responsible and cost-effective manner. The paper describes customers demand-side response (DSR) in form of an economic load model, which represents the changes of the customer’s demand with respect to changing of electricity price level. The scheme is enabling electricity end-users to be engaged in solving the peak-load problem by deliberately (on own decision, command and at own premises) by curtailing or shifting load, thus sharing in moderating those peaks. The methodology could be considered a parallel intervention to supplier Smart-Gris technologies aiming to achieve a final national goal of moderated electricity demand throughout the year. The ultimate goal of the scheme is to achieve flattening the curve of electrical consumption to achieve optimized economics of electricity infrastructure. The described system improves the use of energy consumption around the clock, helps reduced energy price, and better economic operation of electrical energy systems.

USQ conference. Incorporates the Mechatronic and Machine Vision in Practice Conference 2010.