Towards reactive power dispatch within a wind farm using hybrid PSO

Bhaskar, K. Ramakrishnan; Singh, S. N.

doi:10.1016/j.ijepes.2015.01.021

Cited by 42 publications

(24 citation statements)

References 23 publications

(26 reference statements)

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“…It is simple to understand and can solve both continuous and discrete problems, and this is because that PSO only needs funtion evaluations instead of initial values. Besides, it can also escape local optimal solutions [32]. Aghaei et al [33] developed a modified PSO algorithm used for multiobjective optimization.…”

Section: Intelligent Forecasting Methodsmentioning

confidence: 99%

Comparative Study of Hybrid Models Based on a Series of Optimization Algorithms and Their Application in Energy System Forecasting

Liu

2016

Energies

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Abstract:Big data mining, analysis, and forecasting play vital roles in modern economic and industrial fields, especially in the energy system. Inaccurate forecasting may cause wastes of scarce energy or electricity shortages. However, forecasting in the energy system has proven to be a challenging task due to various unstable factors, such as high fluctuations, autocorrelation and stochastic volatility. To forecast time series data by using hybrid models is a feasible alternative of conventional single forecasting modelling approaches. This paper develops a group of hybrid models to solve the problems above by eliminating the noise in the original data sequence and optimizing the parameters in a back propagation neural network. One of contributions of this paper is to integrate the existing algorithms and models, which jointly show advances over the present state of the art. The results of comparative studies demonstrate that the hybrid models proposed not only satisfactorily approximate the actual value but also can be an effective tool in the planning and dispatching of smart grids.

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Section: Intelligent Forecasting Methodsmentioning

confidence: 99%

Comparative Study of Hybrid Models Based on a Series of Optimization Algorithms and Their Application in Energy System Forecasting

Liu

2016

Energies

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“…In general ORPD is employed to enhance economy as well as safety power system operation, thus obtains a lot of consideration at present, the reason for the ORPD in a power system operation is to identify the finest standards of the regulating variables such as alternator voltage magnitudes, compensation devices and transformer tap setting positions to be switched. Main theme of OPRD problem is to reduce actual power losses voltage deviations and enhanced the voltage constancy of the arrangement [8].…”

Section: Necessity Of Optimal Reactive Power Dispatchmentioning

confidence: 99%

“…This velocity indicates the agent's displacement rate. Every mediator tends to adjust its position from the current location , and from the current quickness for the following reiteration + as shown in (7) and (8).…”

Section: Procedures For Particle Swarm Optimization (Pso) Based Orpdmentioning

confidence: 99%

“…The optimum reactive power dispatch (ORPD) is the major issue and mainly effects the commercial and safety operation of power system. To solve OPF problem, we have different conventional methods like Direct Programming, Quadratic Programming and Newton Rapson based approaches and in this all conventional methods, distinct values are preserved as constant variables and smoothed off to nearest rate after optimization, thus mathematical calculations take place, also increases the objective function assessment and finally that all effects on convergence difficulty and limits the possibility of useful application [8]. Main theme of placing DG unit is to diminish losses and DG is located in primary distribution system.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Placement of DG for Optimal Reactive Power Dispatch Using PSO Algorithm

Dsnmra¹,

Kumar²

2018

IJET

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In the safety and economic point of view, Reactive Power is the most problematic thing during the operation of the electrical network. Reactive Power supply completion has nonlinear, equality and inequality constraints. Proposed work is carried out, to find the solution for reactive power supply issue, Particle Swarm Optimization (PSO) process as well as MATPOWER 5.1 implement package are developed in this process. PSO is an excellent optimization technique that is also having effective finding ability. One of the best assets of PSO is that its capacity is fewer sensitive than complication of the independent function. MAT POWER 5.1 is an undeveloped basis MATLAB implement package, concentrating the power flow issues findings. Suggested technique diminishes active power damage in the conventional power system and decides the optimum location of a newly setup Distributed Generator (DG). The IEEE 14bus arrangement is utilized to find the performance and test outcomes shown the perfectness of the recommended method.

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“…This strategy minimizes the active power losses along the transmission system in a WF, which includes the transmission cables and the transformers for WTs [12,[43][44][45][46]. The optimization objective for this strategy is:…”

Section: Strategy B: Wf Transmission Loss Minimizationmentioning

confidence: 99%

Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm

Zhang

Hou

et al. 2017

Energies

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This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and four Wind Turbine (WT) level reactive power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle Swarm Optimization (MPSO) algorithm. The effectiveness of these strategies is evaluated by simulations on a carefully designed WF under a series of cases with different wind speeds and reactive power requirements of the WF. The wind speed at each WT inside the WF is calculated using the Jensen wake model. The results show that the best reactive power dispatch strategy for loss minimization comes when the WF level strategy and WT level control are coordinated and the losses from each device in the WF are considered in the objective.

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Towards reactive power dispatch within a wind farm using hybrid PSO

Cited by 42 publications

References 23 publications

Comparative Study of Hybrid Models Based on a Series of Optimization Algorithms and Their Application in Energy System Forecasting

Comparative Study of Hybrid Models Based on a Series of Optimization Algorithms and Their Application in Energy System Forecasting

Optimal Placement of DG for Optimal Reactive Power Dispatch Using PSO Algorithm

Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm

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