The frequency-independent control method for distributed generation systems

Naderi, Siamak; Pouresmaeil, Edris; Gao, Wenzhong

doi:10.1016/j.apenergy.2011.09.034

Cited by 19 publications

(6 citation statements)

References 23 publications

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“…The latter includes biomass, wind, solar photovoltaic (PV) and ocean-based power plants. From the utilities' perspective, DG units can bring multiple technical benefits to distribution systems such as loss reduction, voltage profile improvement, voltage stability enhancement, network upgrade deferral and reliability while supplying energy sales as a primary purpose [3][4][5][6][7][8][9][10][11][12][13]. In addition, DG units can participate into the competitive market to provide ancillary services such as spinning reserve, voltage regulation, reactive power support and frequency control [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

2014

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highlights DG allocation for minimizing energy loss and enhancing voltage stability. Expressions to find the optimal power factor of DG with commercial standard size. A methodology for DG planning to recover investment for DG owners.Impact of technical and environmental benefits on DG investment decisions. Benefit-cost analysis to specify the optimal location, size and number of DG units. Keywords:Distributed generation; Emission reduction; Loss reduction; Network upgrade deferral; Optimal power factor; Voltage stability abstract This paper presents new analytical expressions to efficiently capture the optimal power factor of each Distributed Generation (DG) unit for reducing energy losses and enhancing voltage stability over a given planning horizon. These expressions are based on the derivation of a multi-objective index (IMO), which is formulated as a combination of active and reactive power loss indices. The decision for the optimal location, size and number of DG units is then obtained through a benefit-cost analysis. Here, the total benefit includes energy sales and additional benefits, namely energy loss reduction, network upgrade deferral and emission reduction. The total cost is a sum of capital, operation and maintenance costs. The methodology was applied to a 69-bus industrial distribution system. The results showed that the additional benefits are imperative. Inclusion of these in the analysis would yield faster DG investment recovery.

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Section: Introductionmentioning

confidence: 99%

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

2014

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“…In the next step, the αβ reference frame is transformed to the rotating synchronous reference frame, i.e., in dq components. Considering d-axis vector in direction of voltage vector in this transformation, the q-component of voltage in rotating synchronous reference frame is always zero (v q =0) [10]. 2 shows the voltage and current components in a stationary and rotating synchronous reference frames.…”

Section: A Voltages and Currents In Special Reference Framesmentioning

confidence: 99%

Integration of DG sources for compensation of unbalanced loads in the power grid

Pouresmaeil

Shaker

Veje

et al. 2015

2015 IEEE Eindhoven PowerTech

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Nowadays, it is a high trend to increase the electricity production using Distributed Generation (DG) technology based on renewable energy resources (RERs) such as photovoltaics and wind power. If these systems are not properly controlled, their connection to the power grid can provoke many problems on the grid side. Therefore, considerations about power generation, safe running and grid connection must be done before connecting DG units into the power grid. This paper is mainly dealing with the grid connection of DG units to the power grids and compensation of the unbalanced loads. The proposed technique provides compensation for active, reactive, unbalanced, and harmonic current components of unbalanced loads. High performance of the proposed technique is obtained through Matlab/Simulink, guaranteeing balanced overall grid currents, injection of maximum available power from DG resources, power factor increase of the utility grid, and a reduction of total harmonic distortion (THD) of grid current, under the proposed operating conditions.

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“…Indeed, recently, a few studies have presented DG allocation while considering the optimal performance of the network, in which the power quality and reliability of the network are optimized simultaneously. Accordingly, to the best of our knowledge, the new contributions of this paper with respect to the previous ones, e.g., [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], can be summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

“…To cope with this issue, it is desirable to develop a procedure to include the system performance index regarding power quality and reliability when DGs are located. As above mentioned in [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], while the optimal design and operation problem of DGs has motivated much research in the last decade, few existing tools seem to offer the evaluating tool required by utilities for financial aggregated assessment of reliability and power quality in the distribution networks in the presence of DGs. The majority of current approaches is often strongly focused to a specific project and necessitates extensive reformulation in the event of the future modifications, such as changes in DG technology options and price structures.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, this problem has been solved from different point of views. From the utilities' standpoint, DG placement problem can be modelled while considering economic objectives as well as multiple technical issues such as loss reduction, voltage profile improvement, voltage stability enhancement, network upgrade deferral, and reliability [6][7][8][9][10][11][12]. Also, a number of studies have been proposed in the literature to assess the compatibility of different DG planning schemes.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing distributed generation parameters through economic feasibility assessment

Muttaqi

Aghaei

et al. 2016

Applied Energy

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To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation schemes in terms of their cost factors that can be significantly contributed by a DG. The direct and indirect costs of power supply quality, reliability, energy loss, total power operation, and DG investment are used as key cost components of the DG siting and sizing strategy. The Particle Swarm Optimization (PSO) method is applied to obtain the optimal DG planning solutions. Finally, the proposed approach is tested on a distribution feeder of an Australian power network. Simulation results are presented to illustrate the feasibility and effectiveness of the proposed method. Abstract -To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation schemes in terms of their cost factors that can be significantly contributed by a DG. The direct and indirect costs of power supply quality, reliability, energy loss, total power operation, and DG investment are used as key cost components of the DG siting and sizing strategy. The Particle Swarm Optimization (PSO) method is applied to obtain the optimal DG planning solutions. Finally, the proposed approach is tested on a distribution feeder of an Australian power network. Simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.2

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The frequency-independent control method for distributed generation systems

Cited by 19 publications

References 23 publications

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

Integration of DG sources for compensation of unbalanced loads in the power grid

Optimizing distributed generation parameters through economic feasibility assessment

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