Novel Heuristic Optimization Technique to Solve Economic Load Dispatch and Economic Emission Load Dispatch Problems

Abstract

The fundamental objective of economic load dispatch is to operate the available generating units such that the needed load demand satisfies the lowest generation cost and also complies with the various constraints. With proper power system operation planning using optimized generation limits, it is possible to reduce the cost of power generation. To fulfill the needs of such objectives, proper planning and economic load dispatch can help to plan the operation of the electrical power system. To optimize the economic load dispatch problems, various classical and new evolutionary optimization approaches have been used in research articles. Classical optimization techniques are outdated due to many limitations and are also unable to provide a global solution to the ELD problem. This work uses a new variant of particle swarm optimization techniques called modified particle swarm optimization, which is effective and efficient at finding optimum solutions for single as well as multi-objective economic load dispatch problems. The proposed MPSO is used to solve single and multi-objective problems. This work considers constraints like power balance and power generation limits. The proposed techniques are tested for three different case studies of ELD and EELD problems. (1) The first case is tested using the data of 13 generating unit systems along with the valve point loading effect; (2) the second case is tested using 15 generating unit systems along with the ramp rate limits; and (3) the third case is tested using the economic emission dispatch (EELD) as a multi-objective problem for 6 generating unit systems. The outcomes of the suggested procedures are contrasted with those of alternative optimization methods. The results show that the suggested strategy is efficient and produces superior optimization outcomes than existing optimization techniques.

Kepler Algorithm for Large-Scale Systems of Economic Dispatch with Heat Optimization

“…Economic load dispatch (ELD) is a crucial optimization problem in power systems that aims to allocate the optimal power generation among multiple generating units to meet the electricity demand at minimum cost while satisfying various operational constraints [2]. The objective of ELD is to determine the optimal power output for each generator, taking into account factors such as fuel cost, transmission losses, and system constraints.…”

Stochastic Shaking Algorithm: A New Swarm-Based Metaheuristic and Its Implementation in Economic Load Dispatch Problem

“…Unfortunately, many of these investigations continue to rely on, modify, or integrate traditional metaheuristics to form hybrid methods. Examples include simulated annealing (SA) [2], modified particle swarm optimization (MPSO) [3], modified directional bat algorithm (DBA) [4], teaching learning-based optimization (TLBO) [5], particle swarm optimization (PSO) [6], slime mold algorithm (SMO) [7], chaotic social group optimization (CSGO) [8], multi-verse optimization (MVO) [9], and others.…”

“…International Journal of Intelligent Engineering and Systems, Vol.17, No. 3,2024 DOI: 10.22266/ijies2024.0630. 23 Optimization Algorithm (MOA) [23], and so forth.…”

Performance of Snow Ablation Optimization for Solving Optimum Allocation of Generator Units

“…The goal of economic load dispatch (ELD) in power systems is to allocate power output from producing units as efficiently as possible while satisfying operational requirements, preserving supply-demand balance [1], and determining the best way to lower the power generation cost and minimize emissions so that the problem of global warming is also reduced. Coal is few, while demand for electrical power is rising [2]. It is significant to observe that the valve-point effects provide a wavy pattern on the fuel consumption curve.…”