Post-optimization Algorithm for the Dynamic Dispatch of Thermal Power Generation with Security Constraints.
被引:0
作者:
Granelli, G.P.
论文数: 0引用数: 0
h-index: 0
机构:
Univ di Pavia, Italy, Univ di Pavia, ItalyUniv di Pavia, Italy, Univ di Pavia, Italy
Granelli, G.P.
[1
]
Marannino, P.
论文数: 0引用数: 0
h-index: 0
机构:
Univ di Pavia, Italy, Univ di Pavia, ItalyUniv di Pavia, Italy, Univ di Pavia, Italy
Marannino, P.
[1
]
Montagna, M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ di Pavia, Italy, Univ di Pavia, ItalyUniv di Pavia, Italy, Univ di Pavia, Italy
Montagna, M.
[1
]
Silvestri, A.
论文数: 0引用数: 0
h-index: 0
机构:
Univ di Pavia, Italy, Univ di Pavia, ItalyUniv di Pavia, Italy, Univ di Pavia, Italy
Silvestri, A.
[1
]
机构:
[1] Univ di Pavia, Italy, Univ di Pavia, Italy
来源:
Energia Elettrica
|
1987年
/
64卷
/
09期
关键词:
COMPUTER PROGRAMMING - Algorithms;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
This paper concerns the optimization of the dynamic dispatch (DD) of the thermal generations; DD results are particularly useful not only for determining the trajectories of thermal units during steep load pick-up periods but also in a very short term dispatch to be included in the automatic generation control (AGC). Starting from the optimal trajectories of the real power output which are provided by DD to match a short term forecast load, the new post optimal dispatch (DPO) is able to modify these trajectories in order to follow the updated load estimation provided on-line. The DPO algorithm gives results very close to those obtained by running DD with the modified load profile, and has the advantage of requiring a much shorter computing time. DPO results have also been compared with the trajectories recomputed by means of the constrained participation factors.