{"title":"Optimal Economic Load Dispatch Using Genetic Algorithms","authors":"Vijay Kumar, Jagdev Singh, Yaduvir Singh, Sanjay Sood","country":null,"institution":"","volume":100,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":463,"pagesEnd":471,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10001623","abstract":"In a practical power system, the power plants are not\r\nlocated at the same distance from the center of loads and their fuel\r\ncosts are different. Also, under normal operating conditions, the\r\ngeneration capacity is more than the total load demand and losses.\r\nThus, there are many options for scheduling generation. In an\r\ninterconnected power system, the objective is to find the real and\r\nreactive power scheduling of each power plant in such a way as to\r\nminimize the operating cost. This means that the generator\u2019s real and\r\nreactive powers are allowed to vary within certain limits so as to meet\r\na particular load demand with minimum fuel cost. This is called\r\noptimal power flow problem. In this paper, Economic Load Dispatch\r\n(ELD) of real power generation is considered. Economic Load\r\nDispatch (ELD) is the scheduling of generators to minimize total\r\noperating cost of generator units subjected to equality constraint of\r\npower balance within the minimum and maximum operating limits of\r\nthe generating units. In this paper, genetic algorithms are considered.\r\nELD solutions are found by solving the conventional load flow\r\nequations while at the same time minimizing the fuel costs.","references":null,"publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 100, 2015"}