基于机会约束目标规划的综合能源系统经济调度

doi:10.12204/j.issn.1000-7229.2020.12.005

摘要/Abstract

摘要：

为了降低大规模风电的不确定性和波动性对综合能源系统(integrated energy system, IES)的影响,对接入风电的综合能源系统的备用容量和调度计划进行优化,提出了基于机会约束目标规划(chance constrained goal programming, CCGP)的经济调度模型。首先,利用机会约束目标规划处理含多个机会约束的不确定性模型。然后,引入量化备用不足的风险指标,将备用不足风险纳入经济调度成本,同时考虑风险备用成本目标和系统运行成本目标。最后,利用算例对模型的有效性进行验证。结果表明,模型能够很好地兼顾系统运行的安全性与经济性,提高了系统的调度灵活性,降低了风电不确定性对系统的影响,实现了系统的经济运行。

关键词: 综合能源系统(IES), 机会约束目标规划(CCGP), 风电不确定性, 经济调度

Abstract:

In order to reduce the impact of the uncertainty and fluctuation of large-scale wind power of integrated energy system and optimize the reserve capacity and dispatch plan of integrated energy system connected with wind power, an economic dispatch model based on chance constrained goal programming(CCGP) is proposed in this paper. Firstly, chance-constrained goal programming is used to deal with the model with multiple chance constraints. Then, the risk index quantifying reserve shortage is introduced, and the risk of reserve shortage is incorporated into economic dispatch cost so that the target of risk reserve cost and operation cost can be considered. Finally, the validity of the model is verified by case studies. The result shows that the model can make a balance between security and economy, improve scheduling flexibility, reduce the impact of uncertainty of wind power, realize economic operation of the system.

Key words: integrated energy system(IES), chance-constrained goal programming(CCGP), the uncertainty of wind power, economic dispatch

中图分类号:

TM73

吴嘉豪, 曾成碧, 苗虹. 基于机会约束目标规划的综合能源系统经济调度[J]. 电力建设, 2020, 41(12): 49-56.

WU Jiahao, ZENG Chengbi, MIAO Hong. Economic Dispatch of Integrated Energy System Based on Chance-Constrained Goal Programming[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(12): 49-56.

图/表 10

图1 综合能源系统结构

Fig.1 Structure of integrated energy system

图2 求解流程

Fig.2 Flowchart for solving the model

图3 负荷与风电出力曲线

Fig.3 Curves of load and wind power

表1 综合能源系统设备参数

Table 1 Parameters of the integrated energy system

图4 正备用功率偏差值

Fig.4 Deviation of positive reserve capacity

图5 不同场景的备用容量

Fig.5 Reserve capacity of different scenarios

图6 购电量与CHP发电功率

Fig.6 Electricity demand and the power of CHP

图7 GF和CHP的产热功率

Fig.7 Heating power of GF and CHP

图8 电、热储能变化

Fig.8 Changes of electric and thermal energy storage

表2 不同场景的各项成本

Table 2 Costs in different scenarios

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