• Ruchi Kumari
• Prof. Indrajeet Kumar
• Prof. Anjana Tripathi

Now a day’s customers have a strong demand for power supply that are both economically efficient and dependable. The increasing power demand and dwindling energy sources need the optimal use of available resources. The allocation of available production resources to fulfil the demand for electricity is a crucial task for a power system administrator in order to fulfil the economic requirements of consumers. Efficient operation is essential for every power system to maximize the returns on the capital investment. The topic of Economic Dispatch (ED) is considered a crucial aspect of the mission of electric power system management. The multi-objective generation dispatch in electric power systems considers economic and pollution effect as conflicting objectives, necessitating a balanced compromise between the objectives to provide an optimal solution. The purpose of the Combined Economic and Emission Dispatch (CEED) issue is to optimize the dispatch of electric power, taking into account both economic and environmental factors. This paper demonstrates the application of quantum particle optimization approach to solve the multiobjective combined economic and emission dispatch issue.

Combined Economic and Emission Dispatch, Genetic Algorithm, Quantum Computing, Quantum Particle Swarm Optimization, Swarm Intelligence

"Implementation of Multiobjective Combined Economic and Emission Dispatch Using Quantum Particle Swarm Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c395-c399, June-2024, Available :http://www.jetir.org/papers/JETIR2406251.pdf

"Implementation of Multiobjective Combined Economic and Emission Dispatch Using Quantum Particle Swarm Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppc395-c399, June-2024, Available at : http://www.jetir.org/papers/JETIR2406251.pdf