Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations

Loau Al-Bahrani, Mehdi Seyedmahmoudian, Ben Horan and Alex Stojcevski
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Loau Al-Bahrani: School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Mehdi Seyedmahmoudian: School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Ben Horan: School of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia
Alex Stojcevski: School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia

Sustainability, 2021, vol. 13, issue 3, 1-26

Abstract: Few non-traditional optimization techniques are applied to the dynamic economic dispatch (DED) of large-scale thermal power units (TPUs), e.g., 1000 TPUs, that consider the effects of valve-point loading with ramp-rate limitations. This is a complicated multiple mode problem. In this investigation, a novel optimization technique, namely, a multi-gradient particle swarm optimization (MG-PSO) algorithm with two stages for exploring and exploiting the search space area, is employed as an optimization tool. The M particles (explorers) in the first stage are used to explore new neighborhoods, whereas the M particles (exploiters) in the second stage are used to exploit the best neighborhood. The M particles’ negative gradient variation in both stages causes the equilibrium between the global and local search space capabilities. This algorithm’s authentication is demonstrated on five medium-scale to very large-scale power systems. The MG-PSO algorithm effectively reduces the difficulty of handling the large-scale DED problem, and simulation results confirm this algorithm’s suitability for such a complicated multi-objective problem at varying fitness performance measures and consistency. This algorithm is also applied to estimate the required generation in 24 h to meet load demand changes. This investigation provides useful technical references for economic dispatch operators to update their power system programs in order to achieve economic benefits.

Keywords: dynamic economic dispatch; valve-point loading; ramp-rate limitations; multi-gradient PSO algorithm; real power of large-scale thermal power units (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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