A Real Time Nobel Approach of Aggregations of Generators and Loads into Virtual Power Plant

Due to fulfillment of huge demand of industrial power and residential power, we are increasing generation day by day by CHP (Combined Heat power) which is increasing pollution of environment by increasing green houses gases due to reduction of high quality fossil fuel(mainly coal). To sustainable of our environment we should focus green energy generation. But our huge demand of power never is fulfill by non conventional power due to low efficiency and synchronising of problems. So we cannot focus bulk power generation from renewable energy due to uneconomic, for that reason distributed generation is most important in smart grid technologies. To increase of power flow we mainly focus on distributed generation on load side by using Virtual Power plant (VPP) method. VPP is today’s demand and widely used in distributed platform in load side. VPP can be used islanding or combination or hybrid methods. VPP can give power in existing grid or can work alone also, efficiency is also high due to reduction of transmission loss and length. But main difficulties of VPP is only proper aggregations of generators and loads. So in this paper we are mainly focused about this difficulties and give a solution idea by software analysis by optimal algorithm with proper coordination of compensation, and renewable generation and give a conclusion idea for better design. Every research will be fulfill if we apply our concept in real system and checked his behaviour characteristic and compare with real analysis, if we see that our test system is give a optimise result then our algorithm will be correct. For that reason we apply our algorithm in a real 220KV/132KV/66KV/11KV/415 V CSEC Budge Budge area Substation with real data in demo version (Single line diagram) and proved that if we use distributed generation in demand side it will be better control of power system and reduced all the cost, drops and improved efficiency by reducing reactive power generation, improve voltage, short-circuit criteria and also improved transient stability. So overall efficiency much more improved compare the normal method. This paper is highlighting of a chapter of my PHD research topic of smart grid-smarter way. This paper was analysed in ETAP software.