Solution of optimal reactive power dispatch of power systems using hybrid particle swarm optimization and imperialist competitive algorithms

Mehdinejad, Mehdi; Mohammadi‐Ivatloo, Behnam; Dadashzadeh-Bonab, Reza; Zare, Kazem

doi:10.1016/j.ijepes.2016.03.039

Cited by 138 publications

(73 citation statements)

References 38 publications

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“…Although there are other methods available, examples to define problem complexity are predominantly used. Classical optimization methods for the optimal control and optimization of the reactive power are as follows [28]:…”

Section: Optimization Methods Designed For Optimal Voltage and Reactmentioning

confidence: 99%

“…Reactive power and voltage quality indicators are crucially important for the operation of the distribution system [16]. Due to the type of these networks, a right integrated control of the reactive power flows and voltage in the DN has become a particularly serious problem requiring a complex solution [28].…”

Section: Voltage and Reactive Power Control In Electrical Networkmentioning

confidence: 99%

“…Therefore, it is very complicated to control the reactive power changes gradually. The reactive powers of generator bus/lines are changing, which makes the ORPD (optimal reactive power distribution) problem mixed integer non-linear programming problem (MINPP) [28]. The main reasons are as follows: the monitoring does not cover all network buses, the requirements for separate loads are not known in advance, and it is difficult to accurately forecast the operational readiness of small generators (that often correlates with operational readiness of renewable sources).…”

Section: Compensation Equipment and Transformer Branch Controlmentioning

confidence: 99%

“…Linear programming is a solution to optimization problems with linear objective function and permissible area defined by linear equations and inequalities. The main advantage of linear programming method is the guaranteed and well-formulated solution of a problem [25,28,67,[75][76][77][78], • Gradient method [25,28,67,[76][77][78], •…”

mentioning

confidence: 99%

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Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks

Stanelytė

Radziukynas

2019

Energies

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The traditional unidirectional, passive distribution power grids are rapidly developing into bidirectional, interactive, multi-coordinated smart grids that cover distributed power generation along with advanced information communications and electronic power technologies. To better integrate the use of renewable energy resources into the grid, to improve the voltage stability of distribution grids, to improve the grid protection and to reduce harmonics, one needs to select and control devices with adjustable reactive power (capacitor batteries, transformers, and reactors) and provide certain solutions so that the photovoltaic (PV) converters maintain due to voltage. Conventional compensation methods are no longer appropriate, thus developing measures are necessary that would ensure local reactive and harmonic compensation in case an energy quality problem happens in the low voltage distribution grid. Compared to the centralized methods, artificial intelligence (heuristic) methods are able to distribute computing and communication tasks among control devices.

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Section: Optimization Methods Designed For Optimal Voltage and Reactmentioning

confidence: 99%

Section: Voltage and Reactive Power Control In Electrical Networkmentioning

confidence: 99%

Section: Compensation Equipment and Transformer Branch Controlmentioning

confidence: 99%

mentioning

confidence: 99%

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Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks

Stanelytė

Radziukynas

2019

Energies

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“…For the ORPD problem, different hybridizations with PSO have been used to improve the algorithm's performance by avoiding premature convergence. For instance, PSO has been hybridized with the linear interior point method [31], fuzzy logic [32,33], Pareto optimal set [34], direct search method [35], differential evolution [36], a multi-agent systems [1], imperialist competitive algorithm [37], genetic algorithm [38] and eagle strategy [39]. Tabu search was used to solve OPF [40] and optimal reactive power planning [41] problems, but to the best of our knowledge, the hybridization of TS with PSO has never been used even though it was effective in solving other optimization-constrained problems [42].…”

Section: Proposed Hybrid Algorithmmentioning

confidence: 99%

Reactive Power Dispatch Optimization with Voltage Profile Improvement Using an Efficient Hybrid Algorithm †

et al. 2018

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This paper presents an efficient approach for solving the optimal reactive power dispatch problem. It is a non-linear constrained optimization problem where two distinct objective functions are considered. The proposed approach is based on the hybridization of the particle swarm optimization method and the tabu-search technique. This hybrid approach is used to find control variable settings (i.e., generation bus voltages, transformer taps and shunt capacitor sizes) which minimize transmission active power losses and load bus voltage deviations. To validate the proposed hybrid method, the IEEE 30-bus system is considered for 12 and 19 control variables. The obtained results are compared with those obtained by particle swarm optimization and a tabu-search without hybridization and with other evolutionary algorithms reported in the literature.

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Robust Deterministic Optimization Approach for Optimal Reactive Energy Management in Electrical Transmission Network

Talbi,

El Moudden,

Baijou

et al. 2024

Advances in Science, Technology &Amp; Innovation

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Solution of optimal reactive power dispatch of power systems using hybrid particle swarm optimization and imperialist competitive algorithms

Cited by 138 publications

References 38 publications

Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks

Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks

Reactive Power Dispatch Optimization with Voltage Profile Improvement Using an Efficient Hybrid Algorithm †

Robust Deterministic Optimization Approach for Optimal Reactive Energy Management in Electrical Transmission Network

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