Optimal Reactive Power Dispatch Under Load Uncertainty Incorporating Solar Power Using Firefly Algorithm

Ramkee, P.; Chaitanya, S. N. V. S. K.; Rao, B. Venkateswara; Bakkiyaraj, R. Ashok

doi:10.1007/978-981-16-1476-7_39

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…From the side of the study relating to the validation test system, there are (12) research papers, with a percentage of (30%) based on the IEEE 14-Bus System; there are (36) The study according to the optimization objective functions was identified and selected with the same approach, there are (40) research papers with a percentage of (100%) based on active power loss minimization, (30) research papers with a percentage of (75%) based on voltage deviation minimization, (12) research papers with a percentage of (30%) based on voltage stability index improvement, (2) research papers with a percentage of (5%) based on cost minimization, and there is only (1) research paper with a percentage (2.5%) based on emission minimization. Other than specifying the cost minimization, the aspects of the study were chosen according to the highest aspects of the study including active power loss minimization and voltage deviation.…”

Section: Introductionmentioning

confidence: 99%

A Novel Stochastic Optimizer Solving Optimal Reactive Power Dispatch Problem Considering Renewable Energy Resources

et al. 2023

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Optimal Reactive Power Dispatch (ORPD is thought of as a noncontinuous, nonlinear global optimization problem. Within the system’s constraints, the ORPD manages to accomplish the reactive power flow. Due to its more intricate linkage of variables, the reactive power issue is more challenging to resolve than the optimum power flow issue. With the existence of renewable energy resources (RERs), solving the ORPD problem to attain the most stable and secure system condition has become a more challenging task. The goal of this article is to solve the objective function of ORPD combined with RERs using a metaheuristic novel optimizer named the African Vultures Optimization Algorithm abbreviated by (AVOA), where the formulation of the ORPD issue including minimization of three single objective functions as follows, voltage deviation, system operating cost, and real power loss, is introduced and also transmission power loss minimization is embraced with the simultaneous incorporation of the optimal renewable energy resources (RERs). Where the ORPD problem complexity grows exponentially with a mixture of continuous and discrete control variables, two distinct continuous and discrete types of optimization variables are considered, and the proposed single objective functions that meet different operating constraints are then transformed into a coefficient multi-objective ORPD problem and elucidated using the weighted sum approach. To validate the suggested algorithm’s effectiveness in addressing the ORPD issue, it is evaluated on three standard IEEE networks: the IEEE-30 bus small-scale network, the IEEE-57 bus medium-scale network, and the IEEE-118 bus large-scale network using different scenarios and the outcomes are compared to these other popular optimization techniques. The findings show that the suggested AVOA algorithm provides an efficient and sturdy high-quality solution for tackling ORPD situations and vastly enhances the overall system performance of power at all scales.

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