考虑风电接入的电力系统鲁棒经济优化调度

doi:10.12204/j.issn.1000-7229.2021.10.011

摘要/Abstract

摘要：

鉴于风力发电具有很强的随机性和波动性,含风电调度系统中,应用传统预测区间来描述其不确定性的方法存在缺陷。针对该问题,通过引入弃风限制对风电场的风电出力预测区间进行优化,得到能够保证调度系统安全运行的风电安全出力区间;在此基础上,建立双层鲁棒区间优化调度模型,使得常规机组的运行成本和风电场的弃风成本最小,并分析了系统爬坡备用对风电安全出力区间的影响。由于考虑了常规机组的阀点效应,模型呈现非线性特点,采用改进的教与学优化算法和线性规划法相结合的求解方法对模型进行求解。最后,采用改进的10机系统验证了所提模型以及求解方法的有效性和优越性。

关键词: 鲁棒优化, 教与学优化算法, 弃风限制, 风电出力区间

Abstract:

In view of the strong randomness and volatility of wind power generation, in the wind power dispatching system, the method of applying the traditional forecast interval to describe its uncertainty has defects. In response to this problem, this paper optimizes the output forecast range of the wind farm by introducing abandonment restrictions, and obtains a safe wind power output range that can ensure the safe operation of the dispatching system. On this basis, a two-layer robust optimal range dispatch model is established to make the operating cost of conventional units and the cost of abandoning power in wind farms are the smallest, and the impact of system climbing reserve on the safe output range of wind power is analyzed. Since the valve point effect of the conventional unit is considered, the model presents nonlinear characteristics. This paper uses an improved teaching and learning optimization algorithm and a linear programming method to solve the model. Finally, an improved 10-machine system verifies the effectiveness and superiority of the proposed model and solution method.

Key words: robust optimization, teaching and learning optimization algorithm, wind power curtailment, wind power output range

中图分类号:

TM73

邱革非, 张鹏坤, 贺漂. 考虑风电接入的电力系统鲁棒经济优化调度[J]. 电力建设, 2021, 42(10): 101-109.

QIU Gefei, ZHANG Pengkun, HE Piao. Economic Dispatch of Power System Considering Wind Power Integration[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(10): 101-109.

图/表 13

图1 双层鲁棒经济调度模型

Fig.1 Schematic diagram of two-layer robust economic dispatch model

图2 弃风限制对风电出力预测区间的影响

Fig.2 The influence of wind power curtailment on forecast range of wind power output

图3 算法求解流程图

Fig.3 Flowchart of the algorithm solution

图4 系统日负荷预测曲线

Fig.4 Forecast curve of daily system load

表1 有无阀点效应求解对比结果

Table 1 Comparison results with or without valve point effect

图5 算例1机组各时段出力计划

Fig.5 Unit output plan for each period in Case 1

图6 算例2机组各时段出力计划

Fig.6 Unit output plan for each period in Case 2

图7 算例2的风电安全出力区间

Fig.7 Safe output range of wind power in Case 2

图8 上坡备用供需对比

Fig.8 Comparison results between supply and demand for upward ramping reserve

图9 下坡备用供需对比

Fig.9 Comparison results between supply and demand for downward ramping reserve

表2 不同求解方法煤耗成本

Table 2 Coal consumption cost of different solution methods

表A1 火电机组参数

Table A1 Thermal power unit parameters

表A2 各时段风电出力预测区间

Table A2 Wind power output forecast interval in each period

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