电网供电缺失环境下多园区有限电量优化调度策略

doi:10.12204/j.issn.1000-7229.2021.01.012

摘要/Abstract

摘要：

在大电网供电缺失环境下,孤岛型微电网由于自身电源容量的限制和可再生能源出力的不确定性,会出现供电量不足情况,制定合理的电能调度策略可提高用户用电经济性和用户满意度。因此,针对电网供电缺失环境下电量有限的情况,以进行电能共享的多园区为研究对象,对不同园区中不同类型负荷合理分配电量、调整负荷工作时间,以停电损失、储能配置成本及用户不满意度最小为目标,建立多园区有限电量优化调度模型。然后,采用基于精英策略的非支配排序遗传算法进行模型求解,对生成的Pareto解集利用模糊隶属度法筛选得到最优解。最后,以上海某区域多园区为例,通过方案对比验证了文章所提优化策略能够有效提高电能的利用率,同时降低停电损失和储能配置成本,提高用户满意度。

关键词: 电网供电缺失, 多园区, 电能共享, 有限电量优化调度

Abstract:

In the absence of power supply from grid, due to the limitation of the power supply capacity of the isolated microgrid and the uncertainty of the renewable energy output, the situation of insufficient power supply will occur. Making a reasonable power dispatch strategy can improve the electricity economy and customer satisfaction. This article focuses on the situation of limited electricity in the absence of power supply from grid. Taking multiple parks for power sharing as the research object, the grid reasonably allocates electricity to different types of loads in different parks, adjusts the working time of the loads, and establishes an optimal scheduling model of limited electricity for multiple parks to minimize power outage loss, configuration costs of energy storage, and customer dissatisfaction. Then, the non-dominated sorting genetic algorithm based on the elite strategy (NSGA-II) is applied to solve the model, and fuzzy membership degree method is used for the Pareto solution set to obtain the optimal solution. Finally, taking multiple parks in a certain area of Shanghai as an example, the scheme comparison verifies that the optimization strategy proposed in this paper can effectively improve the utilization rate of electric energy, reduce the loss of power outage and the cost of energy storage, and improve customer satisfaction as well.

Key words: absence of power supply from grid, multiple parks, power sharing, optimal scheduling for limited electricity

中图分类号:

TM73

江友华, 杨金婉, 赵乐, 王春吉, 曹以龙. 电网供电缺失环境下多园区有限电量优化调度策略[J]. 电力建设, 2021, 42(1): 105-116.

JIANG Youhua, YANG Jinwan, ZHAO Le, WANG Chunji, CAO Yilong. Optimal Scheduling Strategy for Limited Electricity in Multiple Parks in the Absence of Power Supply from Grid[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(1): 105-116.

图/表 15

图1 多园区能量流与信息流示意图

Fig.1 Schematic diagram of energy flow and information flow in multiple parks

图2 优化调度模型求解流程

Fig.2 Flow chart for solving the optimal scheduling model

图3 PV出力和负荷运行曲线

Fig.3 Curves of PV power generation and load operation

表1 多园区发电量和负荷用电情况

Table 1 Situations of electricity generation and power consumption in multiple parks

表2 三个目标函数参数

Table 2 Parameters of the three objective functions

图4 不同算法下Pareto解集图

Fig.4 Pareto solution maps under different algorithms

图5 不同算法下不同迭代次数中3个目标的最优解值

Fig.5 Optimal results of the three objective functions at different iterations under different algorithms

表3 方案1与方案2多园区总目标函数值

Table 3 Total objective function values of scheme 1 and 2 in multiple parks

表4 方案1与方案2各园区电量分配比例

Table 4 Proportion of electricity allocated to each park under scheme 1 and 2

图6 方案1与方案2储电量及充放电功率实时情况

Fig.6 Actual situation of electricity storage and charge and discharge power under scheme 1 and 2

图7 方案2与方案3的各园区目标函数值

Fig.7 Objective function values of each park under scheme 2 and 3

表5 方案2与方案3各园区内负荷电量分配比例

Table 5 Proportion of electricity allocated to load in each park under scheme 2 and 3

图8 方案2与方案3各类负荷电量分配比例情况

Fig.8 Proportion of electricity allocated to various types of load under scheme 2 and 3

图9 方案2与方案3 PV+DE出力与负荷运行情况

Fig.9 PV + DE power generation and load operation under scheme 2 and 3

图10 方案2与方案3的储电量及充放电功率实时情况

Fig.10 Actual situation of electricity storage and charge and discharge power under scheme 2 and 3

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