Optimal reactive power dispatch using hybrid Nelder–Mead simplex based firefly algorithm

Rajan, Abhishek; Malakar, Tanmoy

doi:10.1016/j.ijepes.2014.10.041

Cited by 171 publications

(86 citation statements)

References 37 publications

(45 reference statements)

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“…Previous studies have investigated the VVC problems based on the multiple regulation devices. Reference [15] developed a hybrid algorithm for the joint optimization of OLTC adjusting and CBs switching to minimize the power losses and voltage violation of distribution networks. The authors in [16] proposed a coordinated OLTC and SVC control algorithm to improve operational efficiency and a two-stage method was adopted.…”

Section: Tijmentioning

confidence: 99%

Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point

Wang

et al. 2017

IEEE Trans. Sustain. Energy

289

138

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A coordinated control method of voltage and reactive power for active distribution net-works based on soft open point. Abstract-The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The conventional voltage regulation devices limited by the physical constraints are difficult to meet the requirement of real-time voltage and VAR control (VVC) with high precision when DGs fluctuate frequently. However, soft open point (SOP), a flexible power electronic device, can be used as the continuous reactive power source to realize the fast voltage regulation. Considering the cooperation of SOP and multiple regulation devices, this paper proposes a coordinated VVC method based on SOP for ADNs. First, a time-series model of coordinated VVC is developed to minimize operation costs and eliminate voltage violations of ADNs. Then, by applying the linearization and conic relaxation, the original nonconvex mixed-integer nonlinear optimization model is converted into a mixed-integer second-order cone programming model which can be efficiently solved to meet the requirement of voltage regulation rapidity. Case studies are carried out on the IEEE 33-node system and IEEE 123-node system to illustrate the effectiveness of the proposed method. Index Terms-Active distribution network (ADN), distributed generator (DG), mixed-integer second-order cone programming (MISOCP), soft open point (SOP), voltage and VAR control (VVC). NOMENCLATURE Sets Ω bSet of branches without OLTC Ω O Set of branches with OLTC Variables P t,ij , Q t,ij Active/reactive power flow of branch ij without OLTC at period t

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Section: Tijmentioning

confidence: 99%

Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point

Wang

et al. 2017

IEEE Trans. Sustain. Energy

289

138

View full text Add to dashboard Cite

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“…Hybridized multiple heuristic algorithms are widely used for solution of ORPD problem. For example, hybrid shuffled frog leaping algorithm (SFLA) and regional seek algorithm known as NeldereMead (NM-SFLA) [12], hybrid modified teachingelearning algorithm (MTLA) and double differential evolution (DDE) [13], hybrid modified imperialist competitive algorithm (MICA) and invasive weed optimization (IWO) [14], firefly algorithm (FA) and Nelder Mead (NM) simplex method [15] are used for ORPD solution. The most significant advantage of hybrid algorithms is higher speed of convergence to the optimal solution.…”

Section: Literature Reviewmentioning

confidence: 99%

Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

2016

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Keywords:Active power losses Multi-objective optimal reactive power dispatch (MO-ORPD) Scenario-based uncertainty modeling Stochastic programming Voltage stability Wind farms (WFs) a b s t r a c t Optimal reactive power dispatch (ORPD) problem is an important problem in the operation of power systems. It is a nonlinear and mixed integer programming problem, which determines optimal values for control parameters of reactive power producers to optimize specific objective functions while satisfying several technical constraints. In this paper, stochastic multi-objective ORPD (SMO-ORPD) problem is studied in a wind integrated power system considering the loads and wind power generation uncertainties. The proposed multi objective optimization problem is solved using ε-constraint method, and fuzzy satisfying approach is employed to select the best compromise solution. Two different objective functions are considered as follow: 1) minimization of the active power losses and 2) minimization of the voltage stability index (named L-index). In this paper VAR compensation devices are modeled as discrete variables. Moreover, to evaluate the performance of the proposed method for solution of multi-objective problem, the obtained results for deterministic case (DMO-ORPD), are compared with the available methods in literature. The proposed method is examined on the IEEE-57 bus system. The proposed models are implemented in GAMS environment. The numerical results substantiate the capability of the proposed SMO-ORPD problem to deal with uncertainties and to determine the best settings of control variables.

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“…The method uses a simplex known as a polytope which has n + 1 vertices (or n + 1 test points) in n variables of objective function. To find the values that can minimize the objective function value, the method repeats reflection, contraction and expansion of the variables [30,31] by comparing function values at n + 1 test points and by avoiding the test point that gives the worst function value. More explanation to understand the algorithm is available in [32].…”

Section: Wind Farm Controllermentioning

confidence: 99%

Model Based Open-Loop Wind Farm Control Using Active Power for Power Increase and Load Reduction

Kim

Paek

2017

Applied Sciences

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Abstract:A new wind farm control algorithm that adjusts the power output of the most upstream wind turbine in a wind farm for power increase and load reduction was developed in this study. The algorithm finds power commands to individual wind turbines to maximize the total power output from the wind farm when the power command from the transmission system operator is larger than the total available power from the wind farm. To validate this wind farm control algorithm, a relatively high fidelity wind farm simulation tool developed in the previous study was modified to include a wind farm controller which consists of a wind speed estimator, a power command calculator and a simplified wind farm model. In addition, the wind turbine controller in the simulation tool was modified to include a demanded power tracking algorithm. For a virtual wind farm with three 5 MW wind turbines aligned with the wind, simulations were performed with various ambient turbulent intensities, turbine spacing, and control frequencies. It was found from the dynamic simulation using turbulent winds that the proposed wind farm control algorithm can increase the power output and decrease the tower load of the most upstream wind turbine compared with the results with the conventional wind farm control.

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Optimal reactive power dispatch using hybrid Nelder–Mead simplex based firefly algorithm

Cited by 171 publications

References 37 publications

Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point

Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point

Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

Model Based Open-Loop Wind Farm Control Using Active Power for Power Increase and Load Reduction

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