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The Research Of On-line Reactive Power Optimization Algorithm Of The Regional Network And Its Software System Development

Posted on:2008-07-06Degree:MasterType:Thesis
Country:ChinaCandidate:J W LiuFull Text:PDF
GTID:2132360242489498Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Reactive power optimization and voltage control is of great importance for safety of power system, quality of power supply and economy operation. The development of real-time online Reactive power optimization software can make up the level of dispatching automation. The software which will make better use of the SCADA/EMS system is a great measure to decrease power loss, and to guarantee power quality, and to release dispatchers and monitors from high labor intensity.Reactive power optimization problem in power systems is a typical non-linear programming problem with characteristics of multi-objective, uncertainty, multi-restriction and discreteness. Conventional mathematical programming techniques are inadequate and insufficient to the optimal operation of power systems due to the inherent complexity. After studying the characteristics of various reactive power optimization methods, this paper adopts a new nonlinear primal-dual algorithm, it realizes successive discretization of discrete variables in optimization process, solves discrete variables efficiently, and possesses stable convergence and numerical robustness. To guarantee the convergence of the program, this paper also adopts improved genetic algorithm. SA operation is carried out on new species group and the rule of ending the arithmetic is ameliorated to improve the searching performance and compute speed. GA operators improvement and other measures are also adopted to improve search performance and to promote capability of global search. This paper analyzes the theory and realization of network topology and state estimation. Modules of the reactive power optimization software are also studied and designed in this paper. The calculation and analysis of IEEE 14 and 30 Power Grid certifies the correctness and practicability of the improved algorithm proposed in the paper.
Keywords/Search Tags:SCADA, Reactive power optimization, Nonlinear primal-dual algorithm, Genetic Algorithm, Topology Analysis, State estimation
PDF Full Text Request
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