Improved Fireworks Algorithm Research Articles

Improved Fireworks Algorithm with Chaotic Sequence Operator for Large-Scale Non-convex Economic Load Dispatch Problem

Fireworks algorithm (FWA) is one of the recently developed meta-heuristic techniques, which has shown potential to solve non-shifted optimization functions. However, several engineering optimization problems have shifted optima where the performance of the algorithm heavily degrades owing to the intrinsic limitations of FWA. This paper proposes an Improved FWA with Chaotic Sequence Operator (IFWA-CSO) to efficiently solve diverse engineering optimization problems having shifted optima. The proposed algorithm is validated on benchmark mathematical functions. The IFWA-CSO algorithm is then proposed to solve complex economic dispatch problem of power systems considering several practical constraints such as valve-point loading effect, ramp rate limits, prohibited operating zones, etc. The application results of the proposed method on 140 generator system are presented and compared with existing methods available in literature.

Distribution networks reconfiguration considering the integrations of DGS and different voltages of the medium‐voltage feeders

With the large-scale integration of distributed generations (DGs) and verified loads, the basic topology and operating characteristics of distribution system have been fundamentally changed. In this study, a novel reconfiguration scheme for distribution networks is proposed with consideration of DGs and the feeders of different voltages from the different substations. First of all, the comprehensive objective function is established by transforming the multiple objectives, i.e. power loss, voltage deviation and voltage stability margin, into the single objection function via the possibility-satisfactory degree method. Moreover, the simulation model of DGs and different kinds of loads are analysed in detail. Then, the improved fireworks algorithm is proposed to solve the reconfiguration problems by considering features of the medium-voltage feeders with different voltages. Finally, simulations are carried out to evaluate the performances of the reconfiguration scheme and proposed algorithm, which show that the reconfiguration scheme considering different voltages of the medium-voltage feeders can reduce the power loss and decrease the voltage deviation caused by the integrations of DGs and improve the reliability of the distribution system.

An Improved Fireworks Algorithm Based on Grouping Strategy of the Shuffled Frog Leaping Algorithm to Solve Function Optimization Problems

The fireworks algorithm (FA) is a new parallel diffuse optimization algorithm to simulate the fireworks explosion phenomenon, which realizes the balance between global exploration and local searching by means of adjusting the explosion mode of fireworks bombs. By introducing the grouping strategy of the shuffled frog leaping algorithm (SFLA), an improved FA-SFLA hybrid algorithm is put forward, which can effectively make the FA jump out of the local optimum and accelerate the global search ability. The simulation results show that the hybrid algorithm greatly improves the accuracy and convergence velocity for solving the function optimization problems.

Multi-Area Dynamic Economic Dispatch Problem with Multiple Fuels Using Improved Fireworks Algorithm

Multi-Area Dynamic Economic Dispatch Problem with Multiple Fuels Using Improved Fireworks Algorithm