考虑光-荷不确定性和旋转备用约束的主动配电网经济优化调度策略

doi:10.12204/j.issn.1000-7229.2022.11.007

摘要/Abstract

摘要：

分布式光伏、储能装置等大量分布式电源接入主动配电网(active distribution networks,ADN)后,光伏出力、负荷和旋转备用容量的多重不确定性对主动配电网经济调度的可靠性提出新的挑战。考虑了光伏出力及负荷不确定性,对旋转备用容量进行概率约束,以调度过程中运行成本最小为目标函数提出了一种主动配电网经济优化调度模型。通过所提出的潮流约束线性化方法和离散步长变换方法,将机会约束规划(chance constrained programming,CCP)模型转化为易于求解的确定性混合整数线性规划(mixed-integer linear programming,MILP)模型,并通过CPLEX求解器进行求解。基于IEEE-33节点配电网系统对所提方法进行验证。算例结果表明,所提策略的系统计算时间显著减少,优化效果更好,且可以通过适当设置旋转备用容量概率约束的置信水平实现主动配电网可靠性与经济性间平衡。

关键词: 主动配电网(ADN), 光-荷不确定性, 旋转备用约束, 经济优化调度, 机会约束规划(CCP)

Abstract:

After a large number of distributed power sources such as distributed photovoltaic power and energy storage devices are connected to an active distribution network (ADN), the multiple uncertainties of photovoltaic output, load and rotating reserve capacity bring new challenges to the reliability of economic dispatching of ADN. Considering the uncertainty of photovoltaic output and load, this paper puts forward an economic optimization scheduling model of ADN with the objective function of minimizing operation cost. In this paper, the chance constrained programming (CCP) model is transformed into a deterministic mixed integer linear programming (MILP) model, which is easy to solve, by using CPLEX solver. The proposed method is verified by IEEE 33-node distribution system. The calculation results show that the proposed strategy significantly reduces the system calculation time and achieves better optimization effect, and the balance between the reliability and economy of ADN can be achieved by appropriately setting the confidence level of the probability constraint of rotating reserve capacity.

Key words: active distribution network(ADN), photovoltaic-load uncertainty, rotating reserve constraint, economic optimal dispatch, chance constrained programming(CCP)

中图分类号:

TM734

孟令卓超, 杨锡运, 赵泽宇. 考虑光-荷不确定性和旋转备用约束的主动配电网经济优化调度策略[J]. 电力建设, 2022, 43(11): 63-72.

MENG Lingzhuochao, YANG Xiyun, ZHAO Zeyu. An Economic Optimal Dispatch Strategy for Active Distribution Networks Considering Photovoltaic-Load Uncertainty and Rotating Reserve Constraints[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(11): 63-72.

图/表 11

表1 光伏出力及其对应的概率序列

Table 1 PV power output and corresponding probability sequence

表2 等效负载功率及其对应的概率序列

Table 2 Equivalent load power and the corresponding probability sequence

图1 ADN经济优化调度流程

Fig.1 Flow chart of ADN economic optimization scheduling

图2 IEEE-33节点的主动配电网结构示意图

Fig.2 Schematic diagram of active distribution network structure of IEEE 33-node

表3 主动配电网分布式电源接入情况

Table 3 Distributed power access of AND

表4 分时电价水平

Table 4 TOU price level

图3 ADN各时段微源出力及调度结果图

Fig.3 Micro-source output and scheduling result diagram of ADN in each period

图4 不同时段内ADN各节点电压

Fig.4 Node voltage of distribution network in different time periods

图5 不同置信水平下的运行成本

Fig.5 Operation costs under different confidence levels

图6 不同置信水平下的旋转备用容量

Fig.6 Spinning reserve capacities under different confidence levels

表5 各智能算法对比结果

Table 5 Results of each intelligent algorithm

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