Decentralized Coordination Dispatch Model Based on Chaotic Mutation Harris Hawks Optimization Algorithm

Abstract

Aiming at the economic dispatch problem for an interconnected system with wind power integration, and in order to realize the goals of system economy and improvement of the cross-regional consumption level of wind energy, a decentralized coordination dispatch model is established in this paper. In this model, a DC tie-line is cut by the branch cutting method and used as a coupling variable. A virtual upper-level dispatch center is established, and the economic dispatch problem to be solved is decomposed into a master optimization problem for the upper-level dispatch center and subsidiary optimization problems for the lower-level dispatch centers. For solving this model, an improved Harris hawks optimization (HHO) algorithm called the chaotic mutation Harris hawks optimization (CMHHO) algorithm is proposed. In the CMHHO algorithm, tent mapping and the “DE/pbad-to-pbest/1” strategy are introduced, and a new nonlinear escape energy factor adjustment is proposed. Through an algorithm comparison experiment and a simulation experiment with two examples, the superiority of the CMHHO algorithm, the effectiveness of the proposed model and the applicability of the CMHHO algorithm to the proposed model are verified. The model proposed is of great significance for solving the economic dispatch problem for an interconnected system with wind power integration.

A Hybrid Chaotic-Based Multiobjective Differential Evolution Technique for Economic Emission Dispatch Problem

“…These chaotic-based optimization techniques include but are not limited to chaotic local search-based DE [55], chaos TLBO-based algorithm [56], fireworks algorithm with chaos systems [57], chaotic evolutionary programming [58], improved tunicate swarm algorithm based on logistic map [59], chaotic search technique-based slap swarm algorithm [60], chaotic DE integrating Powell's method [61], and chaotic FPA [62]. In [63], another population-based method combining the advantages of Harris hawks optimization (HHO), chaos theory, and DE/pbad-to-pbest/1 strategy has been suggested for minimizing the operating cost of thermal units and maximizing the contribution of wind power in an interconnected power network. Tent mapping and DE/pbad-to-pbest/1 mutation strategy are introduced in the standard in order to balance the exploitation and exploration abilities of the HHO algorithm and improve its convergence rate.…”