Economic dispatch with prohibited operating zones using fast computation evolutionary programming algorithm

A mixed integer quadratic programming formulation for the economic dispatch of generators with prohibited operating zones

“…Table 5 shows the results we obtain for this problem, again with results from the literature quoted for comparison, noting that we have included statistical information where this is appropriate and available. The result we obtain, in less than 0.25 s, is globally optimal and agrees with the best solution obtained by Somasundaram et al [7]. The mathemat- Table 3 Unit characteristics for example 2 ical programming approach always yields the same result, as expected.…”

“…This is not the case for the stochastic procedures. Although Somasundaram et al [7] do not present any statistical analysis relating to the frequency with which the global optimum is obtained, Su and Chiang [8] do report such statistics. The table shows that the proposed MIQP method improves or matches the results in the literature, both in the best case scenario and in the average case.…”

“…: +44 20 7679 2563; fax: +44 20 7383 2348. have developed an evolutionary programming method, similar to a genetic algorithm, and have compared it to a number of other stochastic, direct search and artificial intelligence methods. Other examples of methods for solving the dispatch problem are presented in the literature [4][5][6][7][8][9][10], the majority concentrating on the use of evolutionary programming methods.…”

A New Algorithm and Computation Approach for Economic Dispatch with Prohibited Operating Zones in Power Systems

“…Researchers obtained successful results by genetic algorithm (GA) (Walters, 1993;Orero, 1996;Won, 2003), Hopfield Neural Network (HNN) (Park, 1993;Lee, 1998;Yalçınöz, 1998), and evolutionary programming (EP) (Jayabarathi, 1999;Somasundaram, 2004) which are the most preferred to solve ELD problems. Optimal results are obtained by different GA approaches (Orero, 1996).…”

Water Wave Optimization Algorithm for Solving Economic Dispatch Problems with Generator Constraints

“…Even though the dynamic programming has no restrictions on the characteristics of the cost curves, they cause the dimension of the problem to be high which in turn requires more computational efforts to solve the problem [4]. For the past several years several AI techniques such as genetic algorithm, evolutionary programming [5,6], differential evolution [7,8,9], particle swarm optimization [10,11,12,20], biogeography based optimization [13,14], artificial bee colony algorithm [15,16], exchange market algorithm [18] are employed to find the optimal solution for the economic dispatch problems.…”