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梯级水电站群发电效率优化将极大地提高清洁生产和可再生能源的利用水平。针对梯级水电站群水系统关联特征和耦合特性,提出一套新的基于数据包络分析(data envelop-ment analysis,DEA)的梯级水电站群效率分析指标体系,并根据此指标体系建立适应的梯级水电站多目标优化调度模型;运用CCR模型、BCC模型以及超效率DEA模型对历史运行数据和优化调度数据进行效率的评价和分析,指出梯级水电站在不同的运行状态下效率的合理性;分析产生非效率的原因,验证指标体系的正确性;通过超效率值的分析验证优化调度模型的合理性,并指出优化调度可提高梯级水电站群的运行效率。最后提出基于DEA效率分析的梯级水电站群优化调度思路。
Optimization of cascade hydropower station power generation efficiency will greatly improve the level of clean production and the utilization of renewable energy. A new set of index system of cascade hydropower station efficiency analysis based on data envelopment analysis (DEA) is proposed according to the associated characteristics and coupling characteristics of cascade hydropower station. Based on this index system, an adaptive cascade hydropower station Multi-objective optimization scheduling model; using the CCR model, BCC model and super-efficiency DEA model to evaluate and analyze the historical operation data and the optimal scheduling data efficiency, pointing out that the cascade hydropower station in different operating conditions, the efficiency of the rationality; analysis of inefficiency The validity of the index system is verified; the rationality of the optimal scheduling model is verified through the analysis of super-efficiency value, and the optimal scheduling can improve the operating efficiency of cascade hydropower stations. Finally, the idea of optimal scheduling of cascaded hydropower stations based on DEA efficiency analysis is proposed.