计及风光就地消纳的设施农业产业园区综合能源系统多目标优化调度方法

doi:10.12204/j.issn.1000-7229.2021.07.003

电力建设 ›› 2021, Vol. 42 ›› Issue (7): 20-27.doi: 10.12204/j.issn.1000-7229.2021.07.003

计及风光就地消纳的设施农业产业园区综合能源系统多目标优化调度方法

陈伟¹, 路源¹, 何欣², 张海龙², 杨勇², 崔建斌¹

1.兰州理工大学电气工程与信息工程学院,兰州市 730050
2.国网甘肃省电力公司电力科学研究院,兰州市 730050

收稿日期:2020-11-27 出版日期:2021-07-01 发布日期:2021-07-09
通讯作者: 路源
作者简介:陈伟(1976),男,博士,教授,博士生导师,主要研究方向为电能质量分析与控制,综合能源优化调度;|何欣(1985),女,高级工程师,主要研究方向为电力系统及其自动化;|张海龙(1995),男,工程师,主要研究方向为电力系统及其自动化;|杨勇(1972),男,正高级工程师,主要研究方向为电力系统及其自动化;|崔建斌(1994),男,硕士研究生,主要研究方向为电能质量分析与控制。
基金资助:
国家自然科学基金项目(51767017);甘肃省基础研究创新群体项目(18JR3RA133);国家电网公司总部科技项目(5400-201933453A-0-0-00)

A Multi-objective Optimal Scheduling Method for Integrated Energy System of Protected Agricultural Industrial Park Considering Local Consumption Rate of Wind and Solar Engery

CHEN Wei¹, LU Yuan¹, HE Xin², ZHANG Hailong², YANG Yong², CUI Jianbin¹

1. College of Electrical and Information Engineering,Lanzhou University of Technology, Lanzhou 730050,China
2. State Grid Gansu Provincial Electric Power Research Institute, Lanzhou 730050, China

Received:2020-11-27 Online:2021-07-01 Published:2021-07-09
Contact: LU Yuan
Supported by:
National Natural Science Foundation of China(51767017);Gansu Basic Research Innovation Group Project(18JR3RA133);Science and Technology Program of State Grid Corporation of China(5400-201933453A-0-0-00)

摘要/Abstract

摘要：

针对设施农业产业园区在生产过程中能源得不到高效利用且能耗费用较高的问题,文章提出了一种计及风光就地消纳的设施农业产业园区综合能源系统(integrated energy system, IES)多目标优化调度方法。首先,建立了包含风-光-沼可再生能源的设施农业产业园区综合能源系统出力模型。然后,考虑多种约束条件,并以能耗费用最低与风光消纳率最大作为目标,利用基于反向学习的改进型多目标正余弦优化算法进行求解。最后,以某设施农业产业园区综合能源系统作为实际算例对所提方法进行了验证。结果表明,所提优化调度方法可有效降低园区日运行费用、提高风光就地消纳率。

关键词: 设施农业产业园区, 综合能源系统(IES), 多目标优化, 消纳率, 正弦余弦算法

Abstract:

In order to solve the problems of inefficient energy utilization and high energy cost in the production process of protected agricultural industrial park, a multi-objective optimization scheduling method for integrated energy system (IES) of protected agricultural industrial park is proposed, which takes into account the local consumption of wind and solar energy. Firstly, the output model of integrated energy system of protected agricultural industrial park including renewable energy such as wind, solar and biogas power is established. Then, considering various constraints, taking the minimum energy consumption and maximum consumption rate of wind and solar energy as the objectives, the improved multi-objective sine-cosine algorithm based on reverse learning is used to solve the problem. Finally, the integrated energy system of a protected agricultural industrial park is taken as an example. The results show that the optimal scheduling method can effectively reduce the daily operation cost of the park and improve the local consumption rate of wind and solar energy.

Key words: protected agricultural industrial park, integrated energy system(IES), multi-objective optimal, consumption rate, sine-cosine algorithm

中图分类号:

TM73

陈伟, 路源, 何欣, 张海龙, 杨勇, 崔建斌. 计及风光就地消纳的设施农业产业园区综合能源系统多目标优化调度方法[J]. 电力建设, 2021, 42(7): 20-27.

CHEN Wei, LU Yuan, HE Xin, ZHANG Hailong, YANG Yong, CUI Jianbin. A Multi-objective Optimal Scheduling Method for Integrated Energy System of Protected Agricultural Industrial Park Considering Local Consumption Rate of Wind and Solar Engery[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(7): 20-27.

图/表 11

图1 设施农业产业园区IES结构

Fig.1 IES structure of a protected agricultural industrial park

图2 IES优化调度算法流程

Fig.2 Flow chart of IES optimal scheduling algorithm

表1 综合能源系统部分设备参数

Table 1 Parameters of some equipment in the integrated energy system

表2 部分相关设备运维费用

Table 2 Operation and maintenance fees of some related equipment

图3 夏季典型日冷、热、电负荷以及风光预测曲线

Fig.3 Typical daily curves of cooling, heating and electric loads, and forecasting curves of wind and solar power in summer

图4 冬季典型日冷、热、电负荷以及风光预测曲线

Fig.4 Typical daily curves of cooling, heating and electric loads, and forecasting curves of wind and solar power in winter

图5 夏季典型日电、热、冷优化后结果

Fig.5 Optimization results of electricity, heat and cooling load in a typical day in summer

图6 冬季典型日电、热、冷优化后结果

Fig.6 Optimization results of electricity, heat and cooling load in a typical day in winter

表3 夏季典型日IES优化调度对照

Table 3 Comparison of IES optimal dispatching in typical days in summer

表4 冬季典型日IES优化调度对照

Table 4 Comparison of IES optimal dispatching in typical days in winter

图7 优化算法收敛速度对比

Fig.7 Comparison of convergence rates of optimization algorithms

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计及风光就地消纳的设施农业产业园区综合能源系统多目标优化调度方法

A Multi-objective Optimal Scheduling Method for Integrated Energy System of Protected Agricultural Industrial Park Considering Local Consumption Rate of Wind and Solar Engery

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