An Improved Lightning Attachment Procedure Optimizer for Optimal Reactive Power Dispatch With Uncertainty in Renewable Energy Resources

Ebeed, Mohamed; Ali, Abdelfatah; Mosaad, Mohamed I.; Kamel, Salah

doi:10.1109/access.2020.3022846

Cited by 45 publications

(25 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where f b (g s ) denotes the Beta pdf of the solar irradiance; represents the gamma function; α and β are the Beta parameters for each period. These parameters can be determined using the historical data as follows [27], [54]:…”

Section: A Solar Irradiance Modelingmentioning

confidence: 99%

Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and DSTATCOM Under Uncertainties of Loads and Solar Irradiance

et al. 2021

Self Cite

View full text Add to dashboard Cite

Optimal planning of integration the Photovoltage Distributed Generation (PV-DG) and DSTATCOM is a crucial task due to the stochastic variations of PV output power and the load demand which are related to solar irradiance variations and the activities of the customers, respectively. In this article, the optimal planning problem of the PV-DG and DSTATCOM system is solved. The proposed model considers the uncertainties of the solar irradiance and the load demand for a multi-objective function, including the cost reduction, the voltage profile, and stability index improvement. Modified Ant Lion Optimizer (MALO) is proposed to enhance the basic ALO searching ability using two strategies. The first strategy is based on Levy Flight Distribution (LFD) to strengthen the exploration of the algorithm and avoid the premature of the basic ALO. In contrast, the second strategy is based on updating the solutions in a spiral orientation to improve the exploitation of the algorithm. The IEEE 69-bus and 118-bus radial distribution systems are used to demonstrate the effectiveness of the proposed method, and the yielded simulations are compared with the basic ALO and other well-known optimization techniques for power loss minimization under deterministic conditions. The simulation results demonstrate that the techno-economic benefits can be increased considerably by optimal inclusion of two PV-DGs and DSTATCOMs compared with a single system.

show abstract

Section: A Solar Irradiance Modelingmentioning

confidence: 99%

Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and DSTATCOM Under Uncertainties of Loads and Solar Irradiance

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…where f b (g s ) and Γ represent the beta pdf of the solar irradiance and the gamma function, respectively; the beta parameters for each period are denoted by α and β. The historical data can be used to determine these parameters as follows [38,39]:…”

Section: Solar Irradiance Modelingmentioning

confidence: 99%

Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources

Ahmed¹,

Ebeed

Ali

et al. 2021

Electronics

Self Cite

View full text Add to dashboard Cite

Optimal inclusion of a photovoltaic system and wind energy resources in electrical grids is a strenuous task due to the continuous variation of their output powers and stochastic nature. Thus, it is mandatory to consider the variations of the Renewable energy resources (RERs) for efficient energy management in the electric system. The aim of the paper is to solve the energy management of a micro-grid (MG) connected to the main power system considering the variations of load demand, photovoltaic (PV), and wind turbine (WT) under deterministic and probabilistic conditions. The energy management problem is solved using an efficient algorithm, namely equilibrium optimizer (EO), for a multi-objective function which includes cost minimization, voltage profile improvement, and voltage stability improvement. The simulation results reveal that the optimal installation of a grid-connected PV unit and WT can considerably reduce the total cost and enhance system performance. In addition to that, EO is superior to both whale optimization algorithm (WOA) and sine cosine algorithm (SCA) in terms of the reported objective function.

show abstract

“…Other adjustments of active and reactive power, such as power limitations, balancing adjustment, automatic frequency control, reactive power control, and automatic voltage control can be required by the manager of the electrical grid 30‐32 which is not studied in this paper.…”

Section: Active and Reactive Power Management Principalmentioning

confidence: 99%

Anovel power management strategies inPV‐wind‐based grid connected hybrid renewable energy system using proportional distribution algorithm

Merahi

Badoud

Mekhilef

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary This paper proposes a new management algorithm and operation of a hybrid renewable energy system (HRES) connected to the power system. The whole hybrid system is managed in such a manner that it can produce as much needed by the grid system. The proposed algorithm is used to distribute proportionally the active and reactive power references to the PV source and wind generators according to their ability contribution. Based on the available active powers and the ability on reactive power of each sub‐system, the references are calculated using a proportional distribution algorithm and sent individually by the principal controller to each auxiliary controller. The analysis of the simulation results obtained under Matlab/Simulink shows the effectiveness of the proposed management algorithm and the flexibility of the hybrid renewable energy system studied.

show abstract

An Improved Lightning Attachment Procedure Optimizer for Optimal Reactive Power Dispatch With Uncertainty in Renewable Energy Resources

Cited by 45 publications

References 50 publications

Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and DSTATCOM Under Uncertainties of Loads and Solar Irradiance

Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and DSTATCOM Under Uncertainties of Loads and Solar Irradiance

Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources

Anovel power management strategies inPV‐wind‐based grid connected hybrid renewable energy system using proportional distribution algorithm

Contact Info

Product

Resources

About