文件名称:mathprog
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- 能源行业(电力石油煤炭)
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- [PDF]
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- 2014-12-25
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- rez***
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2.1 optimal power flow analysis:
The main aim of Optimal Power flow (OPF) algorithm is to capture a steady state operating point. Generation cost, loss are curtailed by steady state operating point. Further, it also maximizes load ability preserving a suitable system representation in terms of parameters of generators (real and reactive powers, line flow limits, output of various compensating devices etc.) . Usually , classical optimization methods were used but as the technology has advanced and integration of FACTS devices in the power system, the traditional concepts and practices of power systems are placed over by an economic market management. . Therefore, OPF has become complex in nature. So, Artificial Intelligence (AI) methods are used which can solve higher complexity problem than OPF.
-2.1 optimal power flow analysis:
The main aim of Optimal Power flow (OPF) algorithm is to capture a steady state operating point. Generation cost, loss are curtailed by steady state operating point. Further, it also maximizes load ability preserving a suitable system representation in terms of parameters of generators (real and reactive powers, line flow limits, output of various compensating devices etc.) . Usually , classical optimization methods were used but as the technology has advanced and integration of FACTS devices in the power system, the traditional concepts and practices of power systems are placed over by an economic market management. . Therefore, OPF has become complex in nature. So, Artificial Intelligence (AI) methods are used which can solve higher complexity problem than OPF.
The main aim of Optimal Power flow (OPF) algorithm is to capture a steady state operating point. Generation cost, loss are curtailed by steady state operating point. Further, it also maximizes load ability preserving a suitable system representation in terms of parameters of generators (real and reactive powers, line flow limits, output of various compensating devices etc.) . Usually , classical optimization methods were used but as the technology has advanced and integration of FACTS devices in the power system, the traditional concepts and practices of power systems are placed over by an economic market management. . Therefore, OPF has become complex in nature. So, Artificial Intelligence (AI) methods are used which can solve higher complexity problem than OPF.
-2.1 optimal power flow analysis:
The main aim of Optimal Power flow (OPF) algorithm is to capture a steady state operating point. Generation cost, loss are curtailed by steady state operating point. Further, it also maximizes load ability preserving a suitable system representation in terms of parameters of generators (real and reactive powers, line flow limits, output of various compensating devices etc.) . Usually , classical optimization methods were used but as the technology has advanced and integration of FACTS devices in the power system, the traditional concepts and practices of power systems are placed over by an economic market management. . Therefore, OPF has become complex in nature. So, Artificial Intelligence (AI) methods are used which can solve higher complexity problem than OPF.
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