Research on multi-scenario unit commitment with pre-control and self-corrective ability
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| Publicado en: | PQDT - Global (2011) |
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ProQuest Dissertations & Theses
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| Acceso en línea: | Citation/Abstract |
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| Resumen: | Translation from original language as provided by authorUnit commitment is one of the most important parts to ensure the security, energy conservation, economy and high efficiency of power system operation. In response to the chanllenges imposed on the model and methods of unit commitment in energy conservation dispatch and generation scheduling with renewable plants, a novel multi-scenario unit commitment with precontrol and self-corrective abilities is proposed in this paper, and an in-depth study from different aspects, like the flexibility of mode, compatibility of model, efficiency of algorithm and so on, is carried out. In response to the challenges brought by volatile bus load to power system security, this paper presents a novel unit commitment formulation based on interval number optimization to improve the security as well as economy of power system operation. By using full scenario analysis, the worst-case impact of volatile node injection on unit commitment is acquired, so that the proposed model can always provide a secure unit commitment result to the operators. Scenarios generation and reduction method based on interval linear programming theory is used to accelerate the solution procedure without loss of optimality. In response to the significant uncertainty to power system operation brought by wind power, this paper proposes a novel security stochastic unit commitment method to accommodate the probabilistic wind power injection. Focusing on the interval of wind power distribution, the worst-case impact of wind power volatility on unit commitment can be considered by interval linear programming, so that the proposed model can always provide a secure and robust commitment result to the operators. Within this security boundary determined by interval number analysis, a chance-programming based method is used to achieve the stochastic optimal solution considering the probabilistic distribution of wind power. In response to the deficiency of the previous preventive unit commitment and commitment methods considering corrective control on security and economic, the corrective security constrained unit commitment is proposed in this paper. This method can consider the corrective control ability of real time operation precisely, and make full use of optimization space of unit commitment in the premise of contingency security. Based on the essence of corrective control, a Benders decomposition method is proposed to accelerate the solving efficiency. This algorithm feeds back the cut consisting of adjustment information of both unit state and its power output. Thus less iterations and computation time are consumed. In response to the computational problem brought by too many integers needed to be branched, a novel notion of active integer variables is proposed in this paper, and a comprehensive and standardized identification method for the integer variables is proposed based on slacked unit commitment model afterwards. The optimization space is narrowed efficiently through turning the identified inactive integer variables into continuous variables, and the calculating efficiency is improved greatly in the premise of guaranteeing the optimizing precision. The computation time of multi-scenairo unit commitment can also been reduced a lot by integrating the identification method into Benders decomposition method, and the key issue for application of this novel unit commitment is addressed. Conclusively, general framework, modes and models of unit commitment for future system operation are established in this thesis, and corresponding mathematical methods with outstanding efficiency are developed as well. We hope this thesis can make some contribution to the development of energy conservation dispatch as well as generation scheduling with renewable energy, and improve the level of theoretical research as well as the application of unit |
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| Fuente: | ProQuest Dissertations & Theses Global |