• Mridula Tiwari
• Achala Jain

Here, I have proposed a multi objective based hybrid methodology to apply unit commitment problem incorporating with wind power. The hybrid methodology will be the combination of both the improved fruit fly optimization algorithm (IFOA) and artificial neural network (ANN). The IFOA is a novel method for searching global optimization. It originated from the research on food hunting behaviors of fruit fly swarm. Fruit fly is an excellent food hunter with sharp osphresis and vision . In IFOA, to better balance exploitation and exploration, the parallel search is adopted. In addition, aiming to make full use of swarm intelligence, the searching behaviour of the fruit fly will be modified by using the efficient neighbourhood search functions like crossover and mutation to add communication among swarms in IFOA. In light of the wind power uncertainty the IFOA will be optimizing the combination of the thermal generators. By the probability occurrence of wind power and production cost of thermal units the multi objective function will be formed. ANN will be used to predict the uncertainty events of wind power. Thus the system will be guaranteed the high wind power utilization. Subsequently, the proposed optimization approach solution will be minimized the total cost of the generating units. The proposed method will be implemented in MATLAB working platform and the results will be examined with considering generation units and will compared with existing model.

Economic dispatch , Thermal Generator , wind Generator , IFOA , ANN

"A RESEARCH PROPOSAL ON MULTI-OBJECTIVE BASED ECONOMIC EMISSION DISPATCH PROBLEM USING THERMAL-WIND: A HYBRID TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.339-340, September-2018, Available :http://www.jetir.org/papers/JETIRA006321.pdf

"A RESEARCH PROPOSAL ON MULTI-OBJECTIVE BASED ECONOMIC EMISSION DISPATCH PROBLEM USING THERMAL-WIND: A HYBRID TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp339-340, September-2018, Available at : http://www.jetir.org/papers/JETIRA006321.pdf