Dissertation
Dissertation > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system simulation and calculation > The calculation of the power system

Stochastic Optimal Power Flow Solution Research Based on Genetic Algorithm

Author GuoZhenXing
Tutor PengXianGang
School Guangdong University of Technology
Course Proceedings of the
Keywords Uncertainties Chance constrained Random OPF Monte Carlo simulation Genetic Algorithms
CLC TM744
Type Master's thesis
Year 2011
Downloads 193
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Reliability and economy are complex power system has been difficult to reconcile contradictions. This contradiction in China's power grid is particularly prominent: on the one hand, China's electric power system, large-scale, complex structure, and the safe and stable operation of natural self-evident requirements of reliability; On the other hand, due to China's rapid economic development of each kinds of energy consumption is growing increasingly serious energy situation. Therefore, as the most important part of the power system in the energy transmission, energy loss reduction, improving energy efficiency has not shirk its responsibility. How to balance the reliability and economy of the power grid operation and management of the power system in China is an unavoidable problem, especially in the face of various uncertainties and interference. Stochastic optimal power flow problem has become a starting point to solve this problem. The random optimal power flow can be widely used in various aspects of the electricity market, including transmission and distribution optimization, auxiliary control optimization, bidding strategy, demand-side management. Therefore, the research and application of stochastic optimal power flow, smart grid construction and development in the future must be a ring. However, the existing stochastic optimal power flow algorithm, because it is difficult to take into account the versatility and efficiency between, still remain in the phase of theoretical research, but also not used in real-time on-line calculation. Based on this, the paper analyzes the various models of the stochastic optimal power flow, and the versatility for node power equivalent of these models, proposed algorithm, the future trend of the development of the stochastic optimal power flow and the need for further research make an outlook. From the development of the optimal power flow, power system stochastic optimal power flow progress Summary analysis, and then put forward the need to carry out the research. Stochastic optimal power flow studies at home and abroad, the paper focuses on the fundamental significance of random optimal power flow considering load uncertainty, highly versatile method proposed for solving stochastic optimal trend, and the establishment of a combination of specific operator cases of stochastic optimal power flow model. The model considered the system voltage and line transmission constraints, this model introduced the IEEE5 node system and Heyuan grid system, a combination of theoretical and practical research results of the optimization. Among them, the solution of the stochastic optimal power flow problem using genetic algorithm to deal with uncertainty, combined with the general trend of computing, Monte Carlo simulation test chance constrained generic method for solving stochastic optimal power flow algorithm. Finally, an example of genetic algorithm and deterministic algorithm to make a comparison, the highly versatile genetic algorithm is more suitable for real-time calculation, more promising conclusions.

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