This paper presents a newly developed optimization approach involving a modified shuffled frog leaping algorithm (MSFLA) applied for the solution of the economic emission load dispatch (EELD) problem. The approach utilizes the local search strategies for searching global solution. MSFLA is developed on the same frame work of shuffled frog leaping algorithm (SFLA). In this proposed algorithm, a ...

Economic load dispatch (ELD) is the main optimization task in power system operation. Minimizing the fuel cost by optimally setting the real power outputs from generators is the objective of ELD problem. In this work, ELD problem is addressed by considering three different cost functions. Real power generations are adjusted for minimizing the fuel cost by using flower pollination algorithm (FOA...

This work deals with the optimization of power flow through interconnected system. The work deals with efficient and reliable evolutionary based approach to solve the economic load dispatch (ELD) with line flows and voltage constraints. The work employs PSO algorithm for ELD. PSO is a robust, stochastic computational technique based on movement and intelligence of swarm. The work introduces a c...

Dynamic economic load dispatch (DELD), which determines the best generation scheduling for different power plants during next 24 hours in order to meet electricity demand as well minimize total energy cost, is a highly complex non-linear and non-convex problem. This study proposes an efficient modified teaching-learning-based optimization algorithm, called MTLBO, effectively solve DELD problem ...

The economic dispatch (ED) problem is defined as that of finding an optimal distribution of system load to the generators in order to minimize the total generation cost while satisfying the total demand and generating-capacity constraints. The different combinations of combustion turbines and steam turbines in a combined cycle (CC) unit produce multiple states and each state has its own unique ...