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Establishment and solution of the large-scale multi-objective hydro-thermal-wind power coordination optimization dispatching model
Author(s): 
Pages: 1-7
Year: Issue:  6
Journal: Relay

Keyword:  power purchase costwater-fire-wind coordination schedulingmulti-objective dispatchquasi-opposition based learningMMTL;
Abstract: 考虑水、火、风能源各自的自然特性和某省级电网工程实际要求,在风电全额上网的前提下,以上网电价费用最小和煤耗量排放最小为目标,同时考虑火电、水电机组出力平滑性约束和各水电厂调度日总出力定值等约束,建立动态多目标风-火-水协调优化调度模型.由于所建立的模型是一个大规模、多维数,多时段、多约束非连续问题,直接求解较困难.为此,在求解阶段,结合分层求解思想,通过应用提出的改进多目标“教”与“学”优化算法(Modified Multi-Objective Teaching-Learning Algorithm,MMTLA)进行求解.以某省级电网某一典型调度日实际数据进行仿真验证,结果表明,所建立的模型的有效性以及所提出算法的优越性.
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