多目标水火协调长期优化调度模型研究
Study on Long-Term Scheduling Model of Multi-Objective Hydrothermal System

DOI: 10.12677/JWRR.2016.53030, PP. 237-245

Keywords: 水火协调，梯级水电站优化调度，最优潮流，长期调度
Hydrothermal System, Scheduling of Cascade Hydropower Stations, Optimal Power Flow, Long-Term Scheduling

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Abstract:

针对水火电力系统长期优化调度问题，将电网最优潮流和水火电站长期优化调度相结合，提出了考虑水电发电量最大、水电弃水量最少、火电煤耗最低以及全网网损最小的多目标水火电联合优化调度模型。该模型考虑了水电站水位约束、水电站流量约束、水量平衡约束、水火电源出力约束、潮流计算功率平衡约束以及电网安全约束，采用线性加权方法将多目标转化为单目标。以每月典型日负荷曲线为基础，将水电逐次切负荷与火电等微增率分配机组出力相结合，计算水火电出力分配、电网潮流及网损，最后采用遗传算法进行求解。通过IEEE-30节点系统模拟调度表明，本文所提方法能够有效减少水电弃水并显著降低系统总损耗，提高了电力系统的经济性，是一种可行的水火电长期联合优化调度方法。
Focus on the problem of long-term generation scheduling of hydrothermal system, this paper combines OPF and long-term optimal scheduling hydrothermal system that proposes the multi-objective model of generation maximization of hydropower, spillage minimization of hydropower, consumption minimization of coal-fired thermal power and line loss minimization. The model takes into account the hydraulic constraints, water balance constraints, security constraints in the power grid, power balance constraints and power supply. The multi-objective is transformed into a single objective by using the linear weighted sum method. On the basis of the typical daily load curve, hydrothermal power output distribution and the power flow and network loss are calculated with hydropower successive cutting load and thermal power equal incremental rate. Finally, the genetic algorithm is used to solve this problem. IEEE-30 bus system is used to verify the effectiveness of the proposed method. The numerical results show that the generation scheduling obtained from the proposed method can reduce the total loss of the power grid; it’s a feasible long-term optimal dispatching method.

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