Multiple-distributed generation planning under load uncertainty and different penetration levels

Ugranlı, Faruk; Karatepe, Engin

doi:10.1016/j.ijepes.2012.10.043

Cited by 80 publications

(39 citation statements)

References 51 publications

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“…Recently, scenario sets [48] and fuzzy sets [49] are used to model the load uncertainty. In scenario methods, the Monte Carlo simulation is the most commonly used in describing scenarios [10], and load duration curve is usually utilized to simulate the load condition [50], as shown in Fig.…”

Section: Uncertainty Modelingmentioning

confidence: 99%

Review and prospect of active distribution system planning

Liu

Gao

et al. 2015

J. Mod. Power Syst. Clean Energy

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The approach to planning, design and operation of distribution networks have significantly changed due to the proliferation of distributed energy resources (DERs) together with load growth, energy storage technology advancements and increased consumer expectations. Planning of active distribution systems (ADS) has been a very hot topic in the 21st Century. A large number of studies have been done on ADS planning. This paper reviews the state of the art of current ADS planning. Firstly, the influences of DERs on the ADS planning are addressed. Secondly, the characteristics and objectives of ADS planning are summarized. Then, up to date planning model and some related research are highlighted in different areas such as forecasting load and distributed generation, mathematical model of ADS planning and solution algorithms. Finally, the paper explores some directions of future research on ADS planning including planning collaboratively with all elements combined in ADS, taking into account of joint planning in secondary system, coordinating goals among different layers, integrating detailed operation simulations and regular performance based reviews into planning, and developing advanced planning tools.

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Section: Uncertainty Modelingmentioning

confidence: 99%

Review and prospect of active distribution system planning

Liu

Gao

et al. 2015

J. Mod. Power Syst. Clean Energy

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“…Crucial information of the line for its Mega Volt Ampere (MVA) flow is obtained from IC index. The MVA capacity index ( IC ) can be defined as

I C = \max_{j = 1}^{n l} ((), \frac{(||, S j)}{(||, C S j)})

…”

Section: Impact Indices and Objective Functionmentioning

confidence: 99%

Optimal placement and sizing of distributed generations using shuffled bat algorithm with future load enhancement

Yammani

Sydulu

Kumari

2015

Int. Trans. Electr. Energ. Syst.

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Summary In this paper, a new and efficient hybrid optimization algorithm is proposed for optimal placement and sizing of the distributed generations (DGs). Bus voltage profile improvement, line flow capacity, and active and reactive power loss minimization are considered as multi‐objectives to optimize under‐distribution load enhancement. The addition of multi‐DGs to the distribution system, which is already having DGs, is studied under increased load demand. Renewable energy resources such as wind, solar, fuel cell, and micro turbines are considered in power system modeling for finding the optimal placement and sizing. Current injection‐based distribution load is considered in DGs modeling in power systems. Active and reactive losses and voltage profiles are studied for all combinations of DGs. To optimize the objective function, a new optimization technique called shuffled bat algorithm is proposed. The proposed methodology is tested on 38‐bus and 69‐bus radial distribution systems with 100% and 120% of base load conditions to demonstrate its performance and effectiveness. Results show that the planned methodology is superior to existing strategies in terms of multi‐objectives considered. Copyright © 2015 John Wiley & Sons, Ltd.

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“…Within EDS, DGs might help intended for theoretically and financially because, they are able to postponement connected with transmission and distribution lines upgrade ventures [10]. DGs have a considerable effect on the power movement, voltage profile, stability, continuity, short circuit level, and high quality connected with power intended for clients and energy consumers [11][12].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Technique for Locating and Sizing of Renewable Energy Resources in Power System

Durairasan¹,

Kalaiselvan²,

Sait³

2017

Journal of Electrical Engineering and Technology

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-In the paper, a hybrid technique is proposed for detecting the location and capacity of distributed generation (DG) sources like wind and photovoltaic (PV) in power system. The novelty of the proposed method is the combined performance of both the Biography Based Optimization (BBO) and Particle Swarm Optimization (PSO) techniques. The mentioned techniques are the optimization techniques, which are used for optimizing the optimum location and capacity of the DG sources for radial distribution network. Initially, the Artificial Neural Network (ANN) is applied to obtain the available capacity of DG sources like wind and PV for 24 hours. The BBO algorithm requires radial distribution network voltage, real and power loss for determining the optimum location and capacity of the DG. Here, the BBO input parameters are classified into sub parameters and allowed as the PSO algorithm optimization process. The PSO synthesis the problem and develops the sub solution with the help of sub parameters. The BBO migration and mutation process is applied for the sub solution of PSO for identifying the optimum location and capacity of DG. For the analysis of the proposed method, the test case is considered. The IEEE standard bench mark 33 bus system is utilized for analyzing the effectiveness of the proposed method. Then the proposed technique is implemented in the MATLAB/simulink platform and the effectiveness is analyzed by comparing it with the BBO and PSO techniques. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem

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Multiple-distributed generation planning under load uncertainty and different penetration levels

Cited by 80 publications

References 51 publications

Review and prospect of active distribution system planning

Review and prospect of active distribution system planning

Optimal placement and sizing of distributed generations using shuffled bat algorithm with future load enhancement

Hybrid Technique for Locating and Sizing of Renewable Energy Resources in Power System

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