算例结果表明，该模型有助于水电厂在短期优化调度中制定计及风险约束下的发电调度计划。

The case study shows that the model can be a help to hydropower company to constitute the risk-constrained optimal regulation schedule.

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为克服现有方法求解复杂水火电力系统短期发电优化计划的缺陷，提出一种新型优化算法对此类动态非线性约束优化问题进行求解。

The goal of this research is to overcome the limitations of the existing method of solving the short-term generation optimal scheduling in hydrothermal power systems.

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提出求解水火电力系统短期发电计划的新方法——粒子群优化算法。

This paper presents new approaches to hydro-thermal short-term dispatching problem using different particle swarm optimization(PSO) techniques.

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