Optimal load dispatch solution of power system using enhanced harmony search algorithm

Rao, D S Naga Malleswara; Kumar, Niranjan

doi:10.3166/ejee.20.469-483

Cited by 3 publications

(3 citation statements)

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“…It holds significant value for alleviating energy shortages and improving environmental pollution [6]. The optimization of power dispatch in the power grid is a highly important and complex problem [7], involving ensuring normal power supply while arranging the operation of each unit reasonably. The aim of power dispatch optimization is to minimize carbon emissions and reduce operating costs.…”

Section: Introductionmentioning

confidence: 99%

Optimization Study of Carbon Emissions in Wind Power Integrated Systems Based on Optimal Dispatch Algorithm

Zhu,

Zhao

2024

Environmental and Climate Technologies

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With the integration of wind power into the power system, dispatch becomes more complex and existing algorithms are no longer applicable. This paper focuses on optimizing carbon emissions in wind farm generation while considering issues related to wind power integration and carbon trading. An optimal dispatch algorithm was designed with the objective of minimizing total costs, which was then solved using the cuckoo search (CS) algorithm. Additionally, an adaptive improvement was made to the CS algorithm to obtain the improved cuckoo search (ICS) algorithm. An analysis was conducted on a case study with 10 units. The ICS algorithm obtained higher quality solutions, with a total cost of $ 632 719 and a calculation time of 0.51 minutes, which was superior to the solutions obtained by the particle swarm optimization and CS algorithms. Fluctuations in the confidence level of system rotation reserve capacity could lead to variations in the final system cost, which needs to be adjusted according to actual conditions. The dispatch scheme obtained by the ICS algorithm showed reduced carbon emissions, total costs, and better performance when compared with the optimal dispatch algorithm in different scenarios. The results show that the proposed methods are reliable and practical.

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Section: Introductionmentioning

confidence: 99%

Optimization Study of Carbon Emissions in Wind Power Integrated Systems Based on Optimal Dispatch Algorithm

Zhu,

Zhao

2024

Environmental and Climate Technologies

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“…They are designed to search for the best possible solution with a very high degree of computational efficiency. They include, but not limited to, the ant colony search algorithm [11], genetic algorithm [12], particle swarm optimization [13], cuckoo search, theory of games [14], Vikor method [15], flower pollination algorithm [16], exchange market algorithm [17], harmony search [18], across neighbourhood [19], whale optimization [20], kinetic gas molecule optimization [21], immune log-normal evolutionary programming algorithm [22] and social spider algorithm [23].…”

Section: Introductionmentioning

confidence: 99%

Filter feeding allogenic engineering optimization algorithm for economic dispatch

Mutegi¹,

Nwulu²

2021

Int. J. EQ

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The main objective of the economic dispatch problem in a power system is to minimize the total thermal fuel cost of the committed generators while satisfying the various system equality and inequality operational constraints. This research developed a new optimization algorithm, named the filter feeding allogenic engineering algorithm, for use in solving the economic dispatch problem. This meta-heuristic algorithm has been inspired by the filter feeding and motile behaviour of allogenic engineers. The newly developed algorithm was formulated using the Matlab software environment, and its performance was tested using the IEEE 39-Bus, 10-Generator system. A comparative analysis was also conducted with the Ant lion optimization heuristic algorithm, and the obtained results indicate that the filter feeding allogenic engineering algorithm yields superior performance.

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“…Multi-objective PSO (MOPSO) technique can be used to develop a solution for the optimal power flow (OPF) problem of medium electrical systems [8]. Improved harmony search (EHS) algorithm can also be applied to resolve the economic dispatch problem [9]. Sundaram et al [10] have implemented a synergistic hybrid metaheuristic algorithm merging the Nondominated sorting genetic algorithm-II (NSGA-II) and multi-objective PSO (MOPSO) algorithm in order to solve the combined heat and power economic emission dispatch problem.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Generation Cost, Environmental Impact, and Reliability of a Microgrid Using Non-dominated Sorting Genetic Algorithm-II

Sohel¹,

Rahman²

2020

IJSDP

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Over the past years, energy sectors have accomplished considerable progress in the transition from conventional fossil-based energy to low-carbon energy production, and microgrids are playing important roles in this sustainable energy transition. One of the key challenges for microgrids is to deliver power with the least possible cost and that too with such an approach that the environmental impact is the lowest and the overall system reliability is high enough. For this reason, generation cost, emission entities, and system reliability need to be efficiently optimized. Towards this goal, an online multi-objective technique has been employed to optimize cost, emission and system reliability taking these three factors in pairs at a time. The optimization model is designed using the non-dominated sorting genetic algorithm-II (NSGA-II), and the algorithm has been employed for several double objective scenarios considering reliability as an objective and later as a constraint. To evaluate the performance of the proposed approach, the simulation results are compared with the relative parameters from a different model that uses the strength pareto evolutionary algorithm (SPEA). The results show that the proposed technique satisfies the multi-objective optimization goals and provides good trade-offs between the conflicting objective functions while finding the optimal dispatch.

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Optimal load dispatch solution of power system using enhanced harmony search algorithm

Cited by 3 publications

References 0 publications

Optimization Study of Carbon Emissions in Wind Power Integrated Systems Based on Optimal Dispatch Algorithm

Optimization Study of Carbon Emissions in Wind Power Integrated Systems Based on Optimal Dispatch Algorithm

Filter feeding allogenic engineering optimization algorithm for economic dispatch

Optimization of Generation Cost, Environmental Impact, and Reliability of a Microgrid Using Non-dominated Sorting Genetic Algorithm-II

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