環境保護のための再生可能エネルギー発電導入による化石燃料消費量の削減に関する研究

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Recently, I have successfully accomplished and published a research article that deals with the comparison approach of operational cost and consumer efforts for the smart grid system. There are two objectives considered for the smart power system i.e. the minimization of the operational cost and consumer efforts of demand responses. Typically, consumers do not want to make much effort for reducing or increasing their loads that is why this research is done for reducing consumer effort, besides lowering the fuel cost of thermal generations. Consumer efforts have been considered through the real-time pricing of electricity. Mainly a multi-objective algorithm such as Non-Dominated Sort Genetic Algorithm-II (NSGA-II) has been utilized to determine the optimum Pareto solution. Also, optimal values of NSGA-II have been compared with Epsilon Multi-Objective Genetic Algorithm (Epsilon-MOGA). There are three different scenarios reflected in this paper such as case 1, case 2 and case 3 for understanding the importance of consumer efforts. Case 1 considers the minimum operational cost and maximum customer efforts. Case 2 considers the moderate operational cost and moderate customer efforts, and case 3 considers the maximum operational cost and minimum customer efforts. Also, I work on smart grid management for the Afghanistan power system. Additionally, I have successfully completed some collaborative research work with some other researchers for power system voltage stability, techno-economic analysis and sustainable development.