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

被引：0

作者：

Ramadan, Ashraf ^{[1
]}

Ebeed, Mohamed ^{[2
]}

Kamel, Salah ^{[3
,4
]}

Nasrat, Loai ^{[3
]}

机构：

[1] King Saud Univ, Gen Adm Projects, Riyadh, Saudi Arabia

[2] Sohag Univ, Fac Engn, Sohag 82524, Egypt

[3] Aswan Univ, Dept Elect Engn, Aswan 81542, Egypt

[4] Chongqing Univ, Coll Elect Engn, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400030, Peoples R China

来源：

2019 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY (IEEE CPERE) | 2019年

关键词：

DG; Lighting attachment procedure optimization; Radial Distribution system; solar power; wind power; uncertainties; REACTIVE POWER DISPATCH; WIND;

D O I：

10.1109/cpere45374.2019.8980092

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：124 / 128

页数：5

共 11 条

[1] Abdel-mawgoud H, 2018, PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN COMPUTER ENGINEERING (ITCE' 2018), P311, DOI 10.1109/ITCE.2018.8316643
[2] Abdel-Mawgoud H, 2017, PROC INT MID EAST P, P1236, DOI 10.1109/MEPCON.2017.8301340
[3] Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach
Biswas, Partha P.
Suganthan, P. N.
Mallipeddi, R.
Amaratunga, Gehan A. J.
[J]. APPLIED SOFT COMPUTING, 2019, 75 : 616 - 632
[4] Optimal power flow solutions incorporating stochastic wind and solar power
Biswas, Partha P.
Suganthan, P. N.
Amaratunga, Gehan A. J.
[J]. ENERGY CONVERSION AND MANAGEMENT, 2017, 148 : 1194 - 1207
[5] Fan M, 2016, IEEE POW ENER SOC GE
[6] Mohsen M, 2017, PROC INT MID EAST P, P915, DOI 10.1109/MEPCON.2017.8301289
[7] Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach
Mohseni-Bonab, Seyed Masoud
Rabiee, Abbas
Mohammadi-Ivatioo, Behnarn
[J]. RENEWABLE ENERGY, 2016, 85 : 598 - 609
[8] A novel physical based meta-heuristic optimization method known as Lightning Attachment Procedure Optimization
Nematollahi, A. Foroughi
Rahiminejad, A.
Vahidi, B.
[J]. APPLIED SOFT COMPUTING, 2017, 59 : 596 - 621
[9] A MODEL TO DETERMINE THE DEGREE OF PENETRATION AND ENERGY-COST OF LARGE-SCALE UTILITY INTERACTIVE PHOTOVOLTAIC SYSTEMS
RAHMAN, S
BOUZGUENDA, M
[J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 1994, 9 (02) : 224 - 230
[10] Ramadan A, 2019, PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN COMPUTER ENGINEERING (ITCE 2019), P426, DOI [10.1109/itce.2019.8646473, 10.1109/ITCE.2019.8646473]

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