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- W2186454786 abstract "Traditional Economic Load Dispatch deals with minimizing generation cost while maintaining set of equality and inequality constraints. On the other hand, the fossil fuel plants pollutes environment by emitting some toxic gases. Thus conventional minimum cost operation cannot be the only basis for generation dispatch; emission minimization must also be taken care of. Power system must be operated in such a way that both real and reactive powers are optimized simultaneously. Real powers loss should be optimized to provide better voltage profile as well as to reduce system losses. Thus the objective problem can be seen as minimization of real power loss over the transmission lines. Now a days large integrated power system are being operated under heavily stressed conditions which imposes threat to voltage stability. Voltage collapse occurs when a very low voltage profile or collapses. All these four objectives are to be met for efficient operation and control. The results of all the four objectives are conflicting and no commensurable. Hence an efficient control which meets all the specified objectives is required. In this project an attempt has been made to optimize each objective individually using Particle Swarm Optimization. The so developed algorithm for Optimization of each objective is tested on IEEE 30 bus system. In this work a method has been proposed to solve multiobjective optimization method using fuzzy decision satisfaction method while the objectives are minimized individually using Particle Swarm Optimization. Simulation results of IEEE 30 bus network are presented to show the effectiveness of the proposed method." @default.
- W2186454786 created "2016-06-24" @default.
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- W2186454786 date "2013-01-01" @default.
- W2186454786 modified "2023-09-27" @default.
- W2186454786 title "Fuzzified Multiobjective PSO For Optimising The Cost, Emission, Losses With Voltage Stability Constraints" @default.
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