Integration of distributed generation in electrical grid: Optimal placement and sizing under different load conditions

Essallah, Sirine; Khedher, Adel; Bouallegue, Adel

doi:10.1016/j.compeleceng.2019.106461

Cited by 72 publications

(43 citation statements)

References 16 publications

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“…Check for any constraint violation. If no operational constraints are violated, then, calculate total real power loss using Equation (8). Otherwise, that selected particle is infeasible.…”

Section: Solution Methodology For Optimal Dg Allocationmentioning

confidence: 99%

“…A distribution load flow matrix, 7 is presented to show the effect of Type I DG in RDS. Essallah et al, 8 demonstrated a voltage stability margin index to optimally allocate DG in RDS under various loading conditions. Many evolutionary algorithms like Imperialist competitive algorithm, 9 Grey Wolf Optimizer, 10 bacterial foraging algorithm, 11 and nondominated sorting genetic algorithm-II, 12 have been implemented to solve DG allocation issues in the distribution system.…”

Section: Literature Surveymentioning

confidence: 99%

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Optimal allocation of renewable DGs in a radial distribution system based on new voltage stability index

Parihar

Malik

2020

Int Trans Electr Energ Syst

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Summary Optimal siting and sizing of renewable DGs can provide a clean and sustainable solution for the smart distribution system. In this article, solar photovoltaic (SPV) and wind turbine generating (WTG) are considered as distribution generation (DG) resources. A methodology to determine the optimal location based on a new voltage stability index (VSI) followed by optimal power rating of renewable DGs based on PSO algorithm in the radial distribution system is proposed. The effectiveness of the method is tested and validated on IEEE 34‐bus and 69‐bus systems for different load levels. The optimal allocation of SPV‐DG and WTG‐DG is also carried out in the presence of load growth and composite load model. The method accounts for the change in long‐term load profile in the planning stage to improve power system performance. The significant reduction in power losses with improved voltage profile and remarkable annual energy loss saving is noticed for the renewable DGs. Further, the results obtained are compared with the other nature‐inspired algorithms to highlight the superiority of the proposed method. The analysis demonstrates that the penetration of renewable DGs allows the system to have load growth for few more years without violating the system constraints. The statistical analysis is also carried out.

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“…Check for any constraint violation. If no operational constraints are violated, then, calculate total real power loss using Equation (8). Otherwise, that selected particle is infeasible.…”

Section: Solution Methodology For Optimal Dg Allocationmentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Optimal allocation of renewable DGs in a radial distribution system based on new voltage stability index

Parihar

Malik

2020

Int Trans Electr Energ Syst

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“…Recently, the rapid growth of flexible AC distribution systems, smart grid, renewable energy sources, energy storage devices, and DC networks has led many researchers to study the optimal planning and operation of these systems [1]. This has been propelled mainly for the integration of renewable energy sources into the electrical power system around the world [2,3]. However, renewable generation sources have inherent technical and operational challenges, such as the need for appropriate integration without congesting the transmission lines, increasing energy losses, or voltage profiles degradation, among others [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…This has been propelled mainly for the integration of renewable energy sources into the electrical power system around the world [2,3]. However, renewable generation sources have inherent technical and operational challenges, such as the need for appropriate integration without congesting the transmission lines, increasing energy losses, or voltage profiles degradation, among others [2,4]. Hence, the placement, sizing, and operation of renewable energies are important and play a fundamental role in the electrical system performance [5].…”

Section: Introductionmentioning

confidence: 99%

“…In [10], an improved variant of the genetic algorithm has been proposed for optimal planning of wind power generators considering reactive power dispatch capabilities. In [2], a Bat algorithm for optimal placement and sizing of the distributed energy resources was developed, considering load variations to minimize power loss and enhance voltage profile. In [11], to solve this same problem, an invasive weed optimization algorithm was proposed.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Placement and Sizing of Wind Generators in AC Grids Considering Reactive Power Capability and Wind Speed Curves

et al. 2020

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This paper presents an optimization model for the optimal placement and sizing of wind turbines, considering their reactive power capacity, wind speed, and demand curves. The optimization model is nonlinear and is focused on minimizing power losses in AC distribution networks. Also, paired wind turbine and power conversion systems are treated via chargeability factor η at the peak hour. This factor represents the percentage of usage of the power conversion system in the nominal wind speed conditions, and allows to support reactive power dynamically during all periods of the day as a function of the distribution system requirements. In addition, an artificial neural network is used for short-term forecasting to deal with uncertainties in wind power generation. We assume that the number of wind power distributed generators could be from zero to three generators integrated into the system, considering unit power factors and reactive power injections to follow up the effect of reactive power compensation in the daily operation. The General Algebraic Modeling System (GAMS) is employed to solve the proposed optimization model.

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Optimal management of static volt‐ampere‐reactive devices and distributed generations with reconfiguration capability in active distribution networks

Shaheen

Elsayed

El‐Sehiemy

et al. 2021

Int Trans Electr Energ Syst

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Summary Recently, power system planners and operators are of interest to maximize distribution automation investments. Optimal operation of control centers of fully automated distribution systems enables it to control all switches as well as dispatching connected controllable apparatuses. Most previously enhanced distribution systems, which include additional enhancement apparatuses, such as distribution static VAr compensators, capacitor banks, and distributed generators, cannot take advantage of the features of these apparatuses because there is no efficient and reliable control. Accordingly, this article presents a robust and efficient technique using Manta ray foraging optimization algorithm (MRFOA) for optimal coordination and control of such apparatuses as well as distribution network reconfiguration simultaneously. The proposed procedure is employed for the dynamic operation of automated distribution systems, considering daily load variations, for losses minimization and emissions reduction with diverse cases of both the 33‐bus and 69‐bus distribution test systems. To manifest, these cases are developed to validate the proposed technique and to achieve optimum control and operation of the distribution systems. Despite the complexity of this problem, the proposed technique can achieve the optimal solution for the various considered cases. As well, the comparative assessment of the proposed MRFOA with relevant techniques demonstrates its effectiveness as an effective tool used in the control centers of modern automated distribution systems. One of the most complex challenges to distribution systems operators in the practical daily load variations is the control and optimal operation of the associated dispatchable enhancement apparatuses such as DGs and DSVCs. The DNR makes the utilization and control of such aforementioned enhancement apparatuses more feasible for distribution systems, but this is in return for increasing the complexity of the problem. Significant technical and environmental benefits have been achieved. Great power losses reduction (about 80%) and voltage enhancement are achieved using the MRFOA. In addition, the emission levels are kept at the lowest levels.

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Integration of distributed generation in electrical grid: Optimal placement and sizing under different load conditions

Cited by 72 publications

References 16 publications

Optimal allocation of renewable DGs in a radial distribution system based on new voltage stability index

Optimal allocation of renewable DGs in a radial distribution system based on new voltage stability index

Optimal Placement and Sizing of Wind Generators in AC Grids Considering Reactive Power Capability and Wind Speed Curves

Optimal management of static volt‐ampere‐reactive devices and distributed generations with reconfiguration capability in active distribution networks

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