Research On Energy Management Of Smart Community With Three Partners

This thesis illustrates the maximum use of renewable energy resources(RERs)specifically wind and solar in energy management scheme for a smart community consists of shared facilities operator(SFO),residential blocks(RB)/household users(HU)and main grid.The system is applicable to populated cities where high rise buildings can be equipped with solar PV panels to operate the shared facilities(lift,lights,security cameras,water pumps etc.)in that specific building,but more importantly it can be implemented in the areas where the power outrage is the big problem and where a smart housing society can also have wind power with solar to make it more useful for whole day long.In this regard,in a smart community the SFO having renewable energy sources(wind and solar)and household users(having solar PV panels installed on their rooftop)have the ability to fulfill their energy demands and trade among themselves.The system is comprised of three partners(SFO,HU and Grid)instead of conventional two entities i.e.users and grid.A system is proposed for the SFO and RB,keeping in mind their demands,they can take decision on either they have to sell/buy energy to/from other partners.Also SFO's battery energy storage system BESS is introduced to enhance the system reliability and improve the optimal cost.The SFO load is critical(cannot be shed)and the user's load is categorized in critical and flexible load(to minimize the cost by scheduling electricity).A real-time energy management scheme is designed to maximize the use of renewable energy and minimize the total operational cost to both the SFO and residential users.The proposed scheme is formulated as by keeping the knowledge of renewable energy generation,various loads,electricity prices,battery charging/discharging,and its state of charge SOC at specific time slot,the model can predict the expected cost.A real time algorithm is recommended,which takes into account different shared facilities in a community and four household users owning randomly selected appliances to get the optimal cost for both the SFO and HU.We have choose the household users such that they have different capacity of solar power and the one user don't have any solar PV installed to examine impact on him.The numerical results show the effectiveness of the proposed model.The SFO and users are getting tremendous benefits from the proposed scheme.The cost reduction for SFO and HU are 8.7% and 27.3% respectively.