应用改进粒子群算法求解梯级水电站短期优化调度问题。
Improved Particle Swarm Optimization is applied to short-term optimal scheduling of the cascade hydropower plants.
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.
通过实际算例验证了该算法的有效性，从而为梯级水电厂的短期优化调度问题提供了一种新的求解途径。
The effectiveness of this algorithm is verified by the sample application, thus a new method is provided for the short-term optimization problem of cascade hydropower stations.
以黄河上游梯级水电站群为例，考虑水电站水库已备有的短期或中长期预报方案，建立其优化调度模型。
The long-term optimal operation model is established for Baishan Hydropower Plant and the model is solved with POA algorithm.
以黄河上游梯级水电站群为例，考虑水电站水库已备有的短期或中长期预报方案，建立其优化调度模型。
The long-term optimal operation model is established for Baishan Hydropower Plant and the model is solved with POA algorithm.
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