PSO Based Short-Term Hydrothermal Scheduling with Prohibited Discharge Zones

Abstract

Abstract-This paper presents a new approach to determine the optimal hourly schedule of power generation in a hydrothermal power system using PSO technique.. The simulation results reveal that the proposed PSO approach appears to be the powerful in terms of convergence speed, computational time and minimum fuel cost.

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

“…Reference [109] has used an improved version of PSO is implemented, to solve CSTHTS problem, which deals with modifying the parameters of particle update equation to avoid premature convergence to local optima. Reference [110] has implemented the PSO algorithm on CSTHTS problem while considering the prohibited operating zones of hydro reservoirs as system constraint. Reference [96] has solved NCSTHTS problem is solved using weight adaptive variant of PSO algorithm.…”

“…Table 8 summarizes implementation of PSO and its variants for STHTS. [92], [94], [97], [105], [110], [112], [124], [128], [134] Near With different neighborhood topologies [92], [123], [130] Constriction factor PSO [113], [115], [117], [129] Hybrid of PSO and Evolutionary programming [95] Updating Inertia weights PSO [106] Quantum behaved PSO [98], [99], [127] Modified adaptive PSO [100] Self-organizing hierarchical PSO [101], [102] Time varying acceleration coefficients PSO [103], [122] Improved PSO [96], [104], [109] Efficient PSO [107] Mixed-binary evolutionary PSO [111] Dynamically controlled PSO [114], [125] Hybrid of PSO and DE [116], [121] Hybrid of PSO and direct search method [118] Enhanced PSO [120] Auxiliary search based PSO [131] Hybrid of PSO and GSA [132] Fully informed PSO [135] Accelerated PSO [136], [137] FIGURE 9. Year wise distribution of arti...…”

Short-Term Load Forecasting for Electrical Dispatcher of Baghdad City based on SVM-FA

“…In the context of increasing power demand and development of the power market, load forecasting is a major challenge in terms of power system planning and operation [1][2][3]. The advantage of a precise load forecasting is to help the operators make decisions for the commitment unit, reduce the reserve capacity, and make a proper schedule for maintenance planning [4].…”

Variable Head Hydrothermal Generation Scheduling Using Genetic Algorithm and Constriction Factor Based Particle Swarm Optimization Technique

“…The computational time of these methods increases with the increase of the dimensionality of the problem. The most common optimization techniques based upon artificial intelligence concepts such as evolutionary programming [10][11], simulated annealing [12][13], differential evolution [14], artificial neural network [15][16], genetic algorithm [17 -19] and particle swarm optimization [20][21][22][23][24] have been given attention by many researchers due to their ability to find an almost global or near global optimal solution for short term hydrothermal scheduling problems with operating constraints. Major problem associated with these techniques is that appropriate control parameters are required.…”