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Application Research on Optimal Operation of Reservoir Group Water Supply Based on Particle Swarm Optimization Algorithm

机译:基于粒子群算法的水库群供水优化调度的应用研究。

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Optimal operation of reservoir group has been the major issues in optimal operation of water resource systems. On the basis of analysis to the optimal operation of reservoir group, a modified optimizing operation model based on particle swarm optimization (PSO) algorithm was developed for optimal operation of joint water supply from reservoir group. A case study was presented with the application of the newly developed model in Lubu-Lianghui reservoir group, Yuyao City, Zhejiang Province. The research results showed that the PSO algorithm and the new model can achieve reliable and high effective optimized results, which brought benefits to the reservoir group.
机译:水库群的优化调度一直是水资源系统优化调度的主要问题。在分析水库群优化调度的基础上,提出了一种基于粒子群优化算法的改进优化模型,用于水库群联合供水的优化调度。结合新开发的模型在浙江省余姚市卢步-梁会水库组的应用进行了案例研究。研究结果表明,PSO算法和新模型能够获得可靠,高效的优化结果,为油藏群带来了利益。

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