An Improved Strength Pareto Evolutionary Algorithm 2 with application to the optimization of distributed generations

This paper presents an Improved Strength Pareto Evolutionary Algorithm 2 (ISPEA2), which introduces a penalty factor in objective function constraints, uses adaptive crossover and a mutation operator in the evolutionary process, and combines simulated annealing iterative process over SPEA2. The testing result of ISPEA2 by authoritative testing functions meets the requirement of Petro-optimum fronts. The case study result shows that the proposed algorithm provides a rapid convergence in obtaining Pareto-optimal solutions during the calculation process of evolution. Based on the fuzzy set theory, ISPEA2 is able to solve the multi-objective problems in the IEEE 33-bus system, and its validity and practicality are demonstrated by the utilization on DG's economic dispatch and optimal operation in the field of power industry. (c) 2012 Elsevier Ltd. All rights reserved.