scholarly journals Scenario-Based Stochastic Framework for Optimal Planning of Distribution Systems Including Renewable-Based DG Units

2021 ◽  
Vol 13 (6) ◽  
pp. 3566
Author(s):  
Ashraf Ramadan ◽  
Mohamed Ebeed ◽  
Salah Kamel ◽  
Almoataz Y. Abdelaziz ◽  
Hassan Haes Alhelou
Keyword(s):  
Wind Turbine ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Total Power ◽  
Optimal Planning ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Distributed Generators ◽  
Stochastic Framework ◽  
Bus System

Renewable energy-based distributed generators are widely embedded into distribution systems for several economical, technical, and environmental tasks. The main concern related to the renewable-based distributed generators, especially photovoltaic and wind turbine generators, is the continuous variations in their output powers due to variations in solar irradiance and wind speed, which leads to uncertainties in the power system. Therefore, the uncertainties of these resources should be considered for feasible planning. The main innovation of this paper is that it proposes an efficient stochastic framework for the optimal planning of distribution systems with optimal inclusion of renewable-based distributed generators, considering the uncertainties of load demands and the output powers of the distributed generators. The proposed stochastic framework depends upon the scenario-based method for modeling the uncertainties in distribution systems. In this framework, a multi-objective function is considered for optimal planning, including minimization of the expected total power loss, the total system voltage deviation, the total cost, and the total emissions, in addition to enhancing the expected total voltage stability. A novel efficient technique known as the Equilibrium Optimizer (EO) is actualized to appoint the ratings and locations of renewable-based distributed generators. The effectiveness of the proposed strategy is applied on an IEEE 69-bus network and a 94-bus practical distribution system situated in Portugal. The simulations verify the feasibility of the framework for optimal power planning. Additionally, the results show that the optimal integration of the photovoltaic and wind turbine generators using the proposed method leads to a reduction in the expected power losses, voltage deviations, cost, and emission rate and enhances the voltage stability by 60.95%, 37.09%, 2.91%, 70.66%, and 48.73%, respectively, in the 69-bus system, while in the 94-bus system these values are enhanced to be 48.38%, 39.73%, 57.06%, 76.42%, and 11.99%, respectively.

scholarly journals Voltage Stability Assessment on a Distribution System without Wind Turbine Generators Connected

2017 ◽  
Vol 10 (28) ◽  
pp. 1-8
Author(s):  
Agbetuyi A. Felix ◽  
C. O. A. Awosope ◽  
H. E. Orovwode ◽  
A. A. Awelewa ◽  
Ademola Abdulkareem ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Distribution System ◽  
Voltage Stability ◽  
Stability Assessment ◽  
Turbine Generators ◽  
Wind Turbine Generators

scholarly journals Technoeconomic and Environmental Study of Multi-Objective Integration of PV/Wind-Based DGs Considering Uncertainty of System

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3035
Author(s):  
Ashraf Ramadan ◽  
Mohamed Ebeed ◽  
Salah Kamel ◽  
Mohamed I. Mosaad ◽  
Ahmed Abu-Siada
Keyword(s):  
Output Power ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Distribution Networks ◽  
Optimal Size ◽  
Total System ◽  
Multi Objective ◽  
Distributed Generators ◽  
Bus System

For technological, economic, and environmental reasons, renewable distributed generators (RDGs) have been extensively used in distribution networks. This paper presents an effective approach for technoeconomic analysis of optimal allocation of REDGs considering the uncertainties of the system. The primary issue with renewable-based distributed generators, especially wind and photovoltaic systems, is their intermittent characteristic that results in fluctuating output power and, hence, increasing power system uncertainty. Thus, it is essential to consider the uncertainty of such resources while selecting their optimal allocation within the grid. The main contribution of this study is to figure out the optimal size and location for RDGs in radial distribution systems while considering the uncertainty of load demand and RDG output power. A Monte Carlo simulation approach and a backward reduction algorithm were used to generate a reasonable number of scenarios to reflect the uncertainties of loading and RDG output power. Manta ray foraging optimization (MRFO), an efficient technique, was used to estimate the ratings and placements of the RDGs for a multi-objective function that includes the minimization of the expected total cost, total emissions, and total system voltage deviation, in addition to enhancing predicted total voltage stability. An IEEE 118-bus network was used as a large interconnected network, along with a rural 51-bus distribution grid and the IEEE 15-bus model as a small distribution network to test the developed technique. Simulations demonstrate that the proposed optimization technique effectively addresses the optimal DG allocation problem. Furthermore, the results indicate that using the proposed method to optimally integrate wind turbines with solar-based DG decreases the expected costs, emissions, and voltage deviations while improving voltage stability by 40.27%, 62.6%, 29.33%, and 4.76%, respectively, for the IEEE 118-bus system and enhances the same parameters by 35.57%, 59.92%, 68.95%, and 11.88%, respectively, for the rural 51-bus system and by 37.74%, 61.46%, 58.39%, and 8.86%, respectively, for the 15-bus system.

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