Economic And Emission Load Dispatch for The Nigerian Power System Using Improved Firefly Algorithm

@article{1702984,
      author = {Ndikilar B. Jitzi, U. O. Aliyu, O. U. Okereke},
      title = {Economic And Emission Load Dispatch for The Nigerian Power System Using Improved Firefly Algorithm},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {5},
      number = {5},
      pages = {228-235},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702984.pdf},
      abstract = {It is of paramount importance for a power system comprising of many generating units to operate under an economic platform. However, effects of generation on the environment should also be considered alongside the cost of generation. This paper employs the improved firefly algorithm to solve the economic and emission load dispatch problem for the Nigerian power system. Valve-point loading effects are considered. The two objectives are combined to form one objective function with the use of weighting factors. The price penalty factor is applied on the emission function to ensure homogeneity of the objective function. Different values of weighting factors are applied to obtain the best. Comparison analysis is carried out between results obtained and other metaheuristic techniques; Genetic algorithm (GA), Particle Swarm Optimization (PSO) and conventional Firefly Algorithm (FA). From the simulations, it is observed that the improved firefly algorithm produces the best compromise between fuel cost and emission quantities.},
      keywords = {Load dispatch, Firefly Algorithm, Price Penalty Factor, Generation.},
      month = {November},
  }