ESMA-OPF: Enhanced Slime Mould Algorithm for Solving Optimal Power Flow Problem
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作者:
Farhat, Mohamed
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机构:
Ain Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, EgyptAin Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, Egypt
Farhat, Mohamed
[1
]
Kamel, Salah
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机构:
Aswan Univ, Fac Engn, Dept Elect Engn, Aswan 81542, EgyptAin Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, Egypt
Kamel, Salah
[2
]
Atallah, Ahmed M.
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机构:
Ain Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, EgyptAin Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, Egypt
Atallah, Ahmed M.
[1
]
Hassan, Mohamed H.
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机构:
Aswan Univ, Fac Engn, Dept Elect Engn, Aswan 81542, EgyptAin Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, Egypt
Hassan, Mohamed H.
[2
]
Agwa, Ahmed M.
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机构:
Northern Border Univ, Coll Engn, Dept Elect Engn, Ar Ar 1321, Saudi Arabia
Northern Border Univ, Prince Faisal bin Khalid bin Sultan Res Chair Ren, Ar Ar 1321, Saudi ArabiaAin Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, Egypt
Agwa, Ahmed M.
[3
,4
]
机构:
[1] Ain Shams Univ, Fac Engn, Elect Power & Machines Engn Dept, Cairo 11517, Egypt
[2] Aswan Univ, Fac Engn, Dept Elect Engn, Aswan 81542, Egypt
[3] Northern Border Univ, Coll Engn, Dept Elect Engn, Ar Ar 1321, Saudi Arabia
[4] Northern Border Univ, Prince Faisal bin Khalid bin Sultan Res Chair Ren, Ar Ar 1321, Saudi Arabia
optimal power flow;
slime mould algorithm;
renewable energy sources;
uncertainty;
INCORPORATING STOCHASTIC WIND;
OPTIMIZATION;
DISPATCH;
D O I:
10.3390/su14042305
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
In this work, an enhanced slime mould algorithm (ESMA) based on neighborhood dimension learning (NDL) search strategy is proposed for solving the optimal power flow (OPF) problem. Before using the proposed ESMA for solving the OPF problem, its validity is verified by an experiment using 23 benchmark functions and compared with the original SMA, and three other recent optimization algorithms. Consequently, the ESMA is used to solve a modified power flow model including both conventional energy, represented by thermal power generators (TPGs), and renewable energy represented by wind power generators (WPGs) and solar photovoltaic generators (SPGs). Despite the important role of WPGs and SPGs in reducing CO2 emissions, they represent a big challenge for the OPF problem due to their intermittent output powers. To forecast the intermittent output powers from SPGs and WPGs, Lognormal and Weibull probability density functions (PDFs) are used, respectively. The objective function of the OPF has two extra costs, penalty cost and reserve cost. The penalty cost is added to formulate the underestimation of the produced power from the WPGs and SPGs, while the reserve cost is added to formulate the case of overestimation. Moreover, to decrease CO2 emissions from TPGs, a direct carbon tax is added to the objective function in some cases. The uncertainty of load demand represents also another challenge for the OPF that must be taken into consideration while solving it. In this study, the uncertainty of load demand is represented by the normal PDF. Simulation results of ESMA for solving the OPF are compared with the results of the conventional SMA and two further optimization methods. The simulation results obtained in this research show that ESMA is more effective in finding the optimal solution of the OPF problem with regard to minimizing the total power cost and the convergence of solution.
机构:
Aswan Univ, Dept Elect Engn, Fac Engn, Aswan 81542, Egypt
Minist Elect & Renewable Energy, Cairo, EgyptAswan Univ, Dept Elect Engn, Fac Engn, Aswan 81542, Egypt
Hassan, Mohamed H.
Kamel, Salah
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机构:
Aswan Univ, Dept Elect Engn, Fac Engn, Aswan 81542, EgyptAswan Univ, Dept Elect Engn, Fac Engn, Aswan 81542, Egypt
Kamel, Salah
Abualigah, Laith
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机构:
Amman Arab Univ, Fac Comp Sci & Informat, Amman 11953, Jordan
Univ Sains Malaysia, Sch Comp Sci, Gelugor, Penang, MalaysiaAswan Univ, Dept Elect Engn, Fac Engn, Aswan 81542, Egypt
机构:
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan,81542, Egypt
Ministry of Electricity and Renewable Energy, Cairo, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan,81542, Egypt
Hassan, Mohamed H.
Kamel, Salah
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机构:
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan,81542, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan,81542, Egypt
Kamel, Salah
Abualigah, Laith
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h-index: 0
机构:
Faculty of Computer Sciences and Informatics, Amman Arab University, Amman,11953, Jordan
School of Computer Science, Universiti Sains Malaysia, Penang, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan,81542, Egypt
机构:
Univ Politehn Bucuresti, Fac Energy, Dept Power Syst, Bucharest 060029, Romania
Minist Educ, Sch Bldg Dept, Rusafa 3, Baghdad 10059, IraqUniv Politehn Bucuresti, Fac Energy, Dept Power Syst, Bucharest 060029, Romania
Al-Kaabi, Murtadha
Dumbrava, Virgil
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机构:
Univ Politehn Bucuresti, Fac Energy, Dept Power Syst, Bucharest 060029, RomaniaUniv Politehn Bucuresti, Fac Energy, Dept Power Syst, Bucharest 060029, Romania
Dumbrava, Virgil
Eremia, Mircea
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机构:
Univ Politehn Bucuresti, Fac Energy, Dept Power Syst, Bucharest 060029, RomaniaUniv Politehn Bucuresti, Fac Energy, Dept Power Syst, Bucharest 060029, Romania