Integrating Tidal Energy to Solve Dynamic Economic Load Dispatch Problem using IWO

Integrating a renewable energy source to electric power systems has a great impact on the environment, the economy and the performance of the systems. Tidal energy has a future potential to supply bulk amounts of energy in different forms and significant consideration as a fuel-free energy and reliable energy source. In this paper, a novel approach to solve dynamic economic load dispatch problem integrating a tidal-in stream energy source is proposed. A meta-heuristic algorithm based on invasive weed optimization method is considered to solve the dynamic economic load dispatch problem under generation and load constraints. The proposed algorithm is implemented in MAT LAB environment and tested on IEEE-30 bus system. Four days representing different seasons are proposed and the results obtained show impact of tidal energy on reducing fuel costs, the emission costs and emissions.