CN110707752A - 考虑机组灵活性的独立微电网日前日内协调优化调度方法 - Google Patents

考虑机组灵活性的独立微电网日前日内协调优化调度方法 Download PDF

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CN110707752A
CN110707752A CN201911217530.0A CN201911217530A CN110707752A CN 110707752 A CN110707752 A CN 110707752A CN 201911217530 A CN201911217530 A CN 201911217530A CN 110707752 A CN110707752 A CN 110707752A
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封钰
黄弦超
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North China Electric Power University
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Abstract

本发明提出了考虑机组灵活性的独立微电网日前日内协调优化调度方法,在传统微电网调度模型的基础上进行优化,合理考虑各类机组的灵活性,通过协调日前和日内调度的关系进行优化调度,满足经济性,环保性,可靠性的运行目标。日内调度以日前调度计划中确定的各资源调度状态为参考进行优化调整,但在必要时可更改满足灵活性要求的分布式资源的调度状态,建立更符合实际的微电网调度模型,进行建模仿真。提前设置好微电网机组相关参数,建立相应的输入输出端口,用户仅需输入典型日的风光、负荷数据,即可得到典型日微电网的最优调度结果。

Description

考虑机组灵活性的独立微电网日前日内协调优化调度方法
技术领域
本发明属于新能源电力系统与微电网技术领域,具体涉及考虑机组灵活性的独立微电网日前日内协调优化调度方法。
背景技术
面对愈加严峻的能源危机、环境保护问题,能源互联网作为能够实现多类型能源互联融合,促进能源可持续发展的新型能源利用体系得到广泛关注。能源互联网以可再生能源为主要能量单元,采用互联网技术实现能量流与信息流实时流动,多种能源供应、传输网络及能源技术、信息技术高度耦合。微电网具有灵活的运行方式和可调度性能,能够综合利用各种分布式可再生能源,可作为基础单元接入到能源互联网,增强能源互联网的可控性、互动性以及可靠性。
在微电网中,分布式资源的灵活性不同:燃气轮机和柴油机有着较快的启停能力和爬坡速率,能方便地改变其出力甚至改变其启停状态,且调整成本相对较低。可控负荷是很好的灵活性资源,能快速响应,但对其调用往往意味着较高的经济成本。储能系统同时具备源荷特性,蓄电池和超级电容都是当前应用较多的储能方式。从充放电速率上看,超级电容在秒级单位上即可完成自身的充放电过程,但它的能量密度只有蓄电池的十分之一左右,因此,超级电容更倾向于作为短时间内的调节资源,蓄电池则可以在更长时间尺度上用于系统的供需平衡。此外,考虑到风光负荷的预测误差随时间尺度减小而减小的特点,日前调度为日内调度提供参考必不可少。
发明内容
本发明的目的在于,满足用户经济性,环保性,可靠性的运行目标,用户仅需输入典型日的风光、负荷数据,即可得到典型日微电网的最优调度结果。
一种考虑机组灵活性的独立微电网日前日内协调优化调度方法,其特征在于,在传统微电网调度模型的基础上进行优化,合理考虑各类机组的灵活性,通过协调日前和日内调度的关系进行优化调度,满足经济性,环保性,可靠性的运行目标。
日内调度以日前调度计划中确定的各资源调度状态为参考进行优化调整,但在必要时可更改满足灵活性要求的分布式资源的调度状态,建立更符合实际的微电网调度模型,进行建模仿真。
提前设置好微电网机组相关参数,建立相应的输入输出端口,用户仅需输入典型日的风光、负荷数据,即可得到典型日微电网的最优调度结果。
附图说明
为了更清楚地说明本发明的技术方案,下面将对附图作简单地介绍。
图1是改进后的微电网日前与日内协调调度关系图
图2为对微电网系统设备的容量,类型,相关参数进行输入。
图3为对典型日的负荷、光伏风电装置出力的标幺值进行输入。
图4为输出微电网的最优调度结果。
具体实施方式
下面结合附图对本发明作进一步的说明。
图1中,对传统的微电网调度模型进行了改进,在传统微电网调度模型的基础上进行优化,合理考虑各类机组的灵活性,通过协调日前和日内调度的关系进行优化调度,满足经济性,环保性,可靠性的运行目标。
考虑到风光负荷的预测误差随时间尺度减小而减小的特点,考虑机组灵活性的独立微电网日前日内协调优化调度方法,一方面考虑了各类机组的灵活性特点,另一方面协调了日前调度和日内调度的多时间尺度优化调度。其中,日前调度以1小时为间隔,优化未来24小时机组出力。日内调度以15分钟为间隔,4小时为滚动周期进行滚动优化调度。日内调度以日前调度计划中确定的各资源调度状态为参考进行优化调整,但在必要时可更改满足灵活性要求的分布式资源的调度状态。通过充分发挥各分布式资源的灵活性,最大限度地降低微电网运营的总成本。
系统会列出需要选择的设备类型和型号,用户可以根据自身情况在图2中对设备的容量,类型,相关参数进行输入,包括微型燃气轮机,柴油机、蓄电池。
不同地区不同季节的典型日负荷及可中断负荷不同,需要用户在图3中按照实际情况输入典型日的典型日风光、负荷相关数据的标幺值。
在图4中,系统根据输入的设备参数和典型日数据进行求解,得出设备调度的最优结果,即设备各个时刻出力的最优值。
得出结论,微电网的优化调度中,由于风光负荷的不确定性和各类机组调度响应灵活性的差异,本发明提出了一种考虑机组灵活性的独立微电网日前日内协调优化调度方法,更加符合实际情况,具有更强的实用性。

Claims (3)

1.一种考虑机组灵活性的独立微电网日前日内协调优化调度方法,其特征在于,在传统微电网调度模型的基础上进行优化,合理考虑各类机组的灵活性,通过协调日前和日内调度的关系进行优化调度,满足经济性,环保性,可靠性的运行目标。
2.根据权利要求1所述的考虑机组灵活性的独立微电网日前日内协调优化调度方法,其特征在于,日内调度以日前调度计划中确定的各资源调度状态为参考进行优化调整,但在必要时可更改满足灵活性要求的分布式资源的调度状态,建立更符合实际的微电网调度模型,进行建模仿真。
3.根据权利要求1所述的考虑机组灵活性的独立微电网日前日内协调优化调度方法,其特征在于,提前设置好微电网机组相关参数,建立相应的输入输出端口,用户仅需输入典型日的风光、负荷数据,即可得到典型日微电网的最优调度结果。
CN201911217530.0A 2019-12-03 2019-12-03 考虑机组灵活性的独立微电网日前日内协调优化调度方法 Pending CN110707752A (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112086998A (zh) * 2020-08-20 2020-12-15 国网山西省电力公司电力科学研究院 孤岛模式下直流微电网的能量优化调度方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112086998A (zh) * 2020-08-20 2020-12-15 国网山西省电力公司电力科学研究院 孤岛模式下直流微电网的能量优化调度方法
CN112086998B (zh) * 2020-08-20 2022-05-10 国网山西省电力公司电力科学研究院 孤岛模式下直流微电网的能量优化调度方法

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