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Probabilistic Chronological Production Simulation-Based Coordinated Dispatching for Cascaded Hydro-PV-PSH Combined Power Generation System

机译:基于概率时间顺序生产模拟的级联水-光伏-光电联合发电系统协调调度

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摘要

The comprehensive and effective utilization of multiple renewable sources involving water, solar, and other energies have been receiving more and more attention, and the coordinated dispatching considering multiple uncertainties has become one of the research focuses currently. To cope with the stochastic dispatching of cascaded hydro-PV-PSH (pumped storage hydropower, PSH) complementary power generation system, this paper has proposed a two-stage optimized dispatching method combining uncertainties simulation and complementary dispatching schemes optimization. Firstly, a modified PCPS (probabilistic chronological production simulation) method is proposed to simulate the uncertain power output of each energy type, and thus the complementary dispatching schemes and performance parameters are obtained. In the simulation process, a special treatment method combining overall uncertainties, overall dispatching measures, and interstage distribution for cascaded hydropower stations is given out. Secondly, a dual-objective optimized model considering reliability and economic performance and MOQPSO algorithm is introduced to calculate the optimal Pareto solution set of stochastic dispatching schemes. The results of the case study verified the feasibility and calculating performance of the proposed method in developing optimized dispatching schemes.
机译:涉及水、太阳能等能源的多种可再生能源的综合有效利用越来越受到重视,考虑多重不确定性的协调调度成为当前研究的重点之一。针对级联式水电-PV-PSH(抽水蓄能水电,PSH)互补发电系统的随机调度,提出了一种不确定性模拟与互补调度方案优化相结合的两阶段优化调度方法。首先,提出一种改进的PCPS(概率时间顺序生产模拟)方法,模拟各能源类型的不确定功率输出,从而得到互补的调度方案和性能参数;在仿真过程中,给出了一种结合整体不确定性、整体调度措施和级间分布的梯级水电站特殊处理方法。其次,引入考虑可靠性和经济性能的双目标优化模型和MOQPSO算法,计算随机调度方案的最优Pareto解集;算例结果验证了所提方法在制定优化调度方案方面的可行性和计算性能。

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