Optimal Allocation of Renewable Energy Resources Considering Uncertainty in Load Demand and Generation

The uncertainty problems emerged due to the stochastic variations in power systems including the uncertainties of load and the output powers of renewable energy resources (wind and solar PV units). Thus, considering the uncertainties in power system planning is a challenge issue to diminish the risk of assigning the optimal siting and sizing of renewable energy resources (RER). This paper determines the optimal allocation of RER in the radial distribution network (RDN) considering the uncertainties of system. The optimal ratings and locations of the PV units and the wind-based DG are determined in 118-bus system for power loss minimization using new optimization technique called the lightning attachment procedure optimization (LAPO). Several scenarios are created using Monte-Carlo simulation to consider the uncertainties in the power system. The simulation results reveal that the optimal allocation of wind-based DG and PV units minimizes the power loss considerably. Moreover, the results verify the effectiveness of the proposed algorithm to solve the optimal allocation of wind and solar in terms of the objective function with considering the uncertainties.

[1]  Salah Kamel,et al.  Optimal allocation of renewable dg sources in distribution networks considering load growth , 2017, 2017 Nineteenth International Middle East Power Systems Conference (MEPCON).

[2]  Miao Fan.  A novel optimal generation dispatch algorithm to reduce the uncertainty impact of renewable energy , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[3]  M. Bouzguenda,et al.  A model to determine the degree of penetration and energy cost of large scale utility interactive photovoltaic systems , 1994, IEEE Power Engineering Review.

[4]  Zhengcai Fu,et al.  An improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systems , 2007 .

[5]  Ponnuthurai Nagaratnam Suganthan,et al.  Optimal power flow solutions incorporating stochastic wind and solar power , 2017 .

[6]  Salah Kamel,et al.  An efficient hybrid approach for optimal allocation of DG in radial distribution networks , 2018, 2018 International Conference on Innovative Trends in Computer Engineering (ITCE).

[7]  Ponnuthurai N. Suganthan,et al.  Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach , 2019, Appl. Soft Comput..

[8]  Salah Kamel,et al.  Performance Assessment of a Realistic Egyptian Distribution Network Including PV Penetration with DSTATCOM , 2019, 2019 International Conference on Innovative Trends in Computer Engineering (ITCE).

[9]  Salah Kamel,et al.  Optimal planning of renewable distributed generation in distribution systems using grey wolf optimizer GWO , 2017, 2017 Nineteenth International Middle East Power Systems Conference (MEPCON).

[10]  Behrooz Vahidi,et al.  A novel physical based meta-heuristic optimization method known as Lightning Attachment Procedure Optimization , 2017, Appl. Soft Comput..

[11]  Abbas Rabiee,et al.  Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach , 2016 .