CN113629747A - 一种电动汽车并网无功补偿控制方法 - Google Patents
一种电动汽车并网无功补偿控制方法 Download PDFInfo
- Publication number
- CN113629747A CN113629747A CN202111084619.1A CN202111084619A CN113629747A CN 113629747 A CN113629747 A CN 113629747A CN 202111084619 A CN202111084619 A CN 202111084619A CN 113629747 A CN113629747 A CN 113629747A
- Authority
- CN
- China
- Prior art keywords
- load
- charging station
- grid
- power
- electric vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000005457 optimization Methods 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims abstract description 6
- 238000012937 correction Methods 0.000 claims description 6
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 230000009191 jumping Effects 0.000 claims description 3
- 238000013178 mathematical model Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 1
- 230000009471 action Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
- H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/01—Arrangements for reducing harmonics or ripples
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/40—Arrangements for reducing harmonics
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
本发明公开了一种电动汽车并网无功补偿控制方法,涉及无功补偿控制技术领域。该电动汽车并网无功补偿控制方法包括获取电动汽车充电站的负荷水平及充电站所在区域电网的负荷水平;对充电站所在区域电网进行潮流计算,计算充电站无功功率;计算充电站负载率以及区域电网的负荷波动率;建立含电动汽车充电站的无功补偿控制模型。该电动汽车并网无功补偿控制方法在传统无功优化问题的基础上加上对电动汽车充电站功率因数的控制进行无功补偿,在状态变量以及控制变量的约束下,以有功损耗最小、负荷波动最小以及电压波动最小为目标函数,建立多目标无功优化模型,解决了电动汽车接入的谐波污染和无功不足的问题。
Description
技术领域
本发明涉及无功补偿控制技术领域,具体为一种电动汽车并网无功补偿控制方法。
背景技术
近年来,我国政府出台相关政策大力支持电动汽车的发展,使得越来越多电动汽车大规模接入电网。然而电动汽车作为负荷,具有时间以及空间上的不确定性,大规模电动汽车不确定性的充电行为会对配电网的经济安全运行产生很大影响。
像充电站这样的大型用电场所需要配备无功补偿装置,比如静止无功发生器(SVG),通过调节电压源变流器交流侧输出电压的幅值和相位就可以使变流器输出连续变化的容性或者感性无功电流,实现无功补偿的目的。因此电动汽车充不仅是一种可调度的柔性负荷资源,也是具有无功补偿作用的资源。由于大规模电动汽车并网会对电网电能质量带来问题,比如峰上加峰问题、加剧负荷峰谷差、电压水平超出允许限值等。为了解决上述问题,必须对含电动汽车充电的配电网无功优化问题进行研究。
传统无功优化问题是通过对电力系统中的发电机机端电压、变压器分接头以及无功补偿器投切这些变量的控制,达到降低网损的目的。考虑到电动汽车充电站自身配备的无功补偿装置,本文含电动汽车充电的无功优化在传统无功优化问题的基础上加上对电动汽车充电站功率因数的控制进行无功补偿。首先对充电站负荷建模得到负荷曲线,接入配电网计算潮流得到每个节点的有功无功,以及网络损耗等。在状态变量以及控制变量的约束下,以有功损耗最小、负荷波动最小以及电压波动最小为目标函数,建立多目标无功优化模型。
发明内容
(一)解决的技术问题
针对现有技术的不足,本发明提供了一种电动汽车并网无功补偿控制方法,解决了大规模电动汽车并网会对电网电能质量带来问题,比如峰上加峰问题、加剧负荷峰谷差、电压水平超出允许限值等问题。
(二)技术方案
为实现以上目的,本发明通过以下技术方案予以实现:一种电动汽车并网无功补偿控制方法,包括如下步骤:
步骤一:获取当前电动汽车充电站的负荷功率水平以及充电站所在区域电网的负荷值,对充电站所在区域电网进行潮流计算;
步骤二:结合充电站的负荷功率以及所在区域电网的潮流状况,计算充电站无功功率;
步骤三:计算当前电动汽车充电站负载率和区域电网的负荷率;
步骤四:基于充电站负载率和区域电网的负荷率,计算充电站无功补偿量,建立电动汽车充电站主动无功补偿模型;
步骤五:以配电网有功损耗最小、负荷波动最小以及各节点电压偏差最小为目标,建立多目标无功优化模型。
优选的,所述步骤一具体为:首先要对电动汽车充电站建立数学模型,获取待优化时段充电站的充电负荷值Pc;获取待优化时段充电站所在区域电网各节点的负荷值S1,S2,S3,……Sj,……;对充电站所在区域电网进行潮流计算。
优选的,在已知充电负荷值Pc以及所在区域电网负荷值S1,S2,S3,……Sj,……;的基础上,计算区域电网的潮流分布,具体为:
其中Pi是电动汽车充电站所在节点i的有功负荷,Pload是节点i的基础负荷。
1、根据基尔霍夫电流定律,从第一层节点开始遍历,支路上各节点电流如式:
2、结合上述公式,除末节点外,一层一层逐步计算其他节点的注入电流:
3、计算出整个配电网的支路电流后,结合已知的根节点电压,依次计算各节点的电压:
Uj=Ui-IijZij=Ui-Iij(Rij+jXij)
其中Zij=Rij+jXij为始端节点i与各子节点j之间的阻抗。
4、计算各节点的电压修正量
ΔUj=|Uj-Uj(0)|
5、判别收敛条件
maxΔUj(k)<ω
其中最大修正量小于阈值ω的时候跳出迭代,k为迭代次数。
优选的,结合电动汽车充电站的有功负荷值Pc,计算充电站负载率α,具体为:
α=Pc_∑/Pc_max
其中,Pc_∑为待优化时段充电站总的有功负荷;Pc_max为充电站额定有功功率。
结合充电站所在区域电网负荷值,计算区域电网负荷率β:
β=Pload_∑/Pload_max
其中,Pload_∑为待优化时段区域电网的有功负荷值;Pload_max为区域电网一年内的最大有功负荷。
其中,αmax、αmin分别为电动汽车充电站高峰和低谷时段的负载率阈值;βmax、βmin分别为负荷高峰和低谷时段区域电网的负荷率阈值;a、b为相应的权重系数,且a+b=0.1。
补偿前:
则需求的补偿容量为:
优选的,在建立电动汽车充电站主动参与电网无功补偿模型后,以配电网有功损耗最小、负荷波动最小以及各节点电压偏差最小为目标,建立多目标无功优化模型,目标函数为:
min[f1,f2,f3]
根据电网实际运行情况设置约束条件,分为等式约束和不等式约束。
功率平衡方程:
不等式约束包括状态变量的不等式约束,发电机无功出力上下限:QGimin≤QGi≤QGimax;节点电压上下限:Uimin≤Ui≤Uimax;控制变量的不等式约束,无功补偿容量的上下限:QCimin≤QCi≤QCimax;发电机机端电压的上下限:UGimin≤UGi≤UGimax;变压器变比的上下限:Ttimin≤Tti≤Ttimax;电动汽车充电站功率因数控制目标上下限:
(三)有益效果
本发明提供了一种电动汽车并网无功补偿控制方法。具备以下有益效果:
该电动汽车并网无功补偿控制方法在传统无功优化问题的基础上加上对电动汽车充电站功率因数的控制进行无功补偿。首先对充电站负荷建模得到负荷曲线,接入配电网计算潮流得到每个节点的有功无功,以及网络损耗等。在状态变量以及控制变量的约束下,以有功损耗最小、负荷波动最小以及电压波动最小为目标函数,建立多目标无功优化模型,解决了电动汽车接入的谐波污染和无功不足的问题。
附图说明
图1为电动汽车充电站并网接入示意图。
具体实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
本发明提供一种技术方案:一种电动汽车并网无功补偿控制方法,包括如下步骤:
步骤一:获取当前电动汽车充电站的负荷功率水平以及充电站所在区域电网的负荷值,首先要对电动汽车充电站建立数学模型,获取待优化时段充电站的充电负荷值Pc;获取待优化时段充电站所在区域电网各节点的负荷值S1,S2,S3,……Sj,……;对充电站所在区域电网进行潮流计算;
在已知充电负荷值Pc以及所在区域电网负荷值S1,S2,S3,……Sj,……;的基础上,计算区域电网的潮流分布,具体为:
其中Pi是电动汽车充电站所在节点i的有功负荷,Pload是节点i的基础负荷。
1、根据基尔霍夫电流定律,从第一层节点开始遍历,支路上各节点电流如式:
2、结合上述公式,除末节点外,一层一层逐步计算其他节点的注入电流:
3、计算出整个配电网的支路电流后,结合已知的根节点电压,依次计算各节点的电压:
Uj=Ui-IijZij=Ui-Iij(Rij+jXij)
其中Zij=Rij+jXij为始端节点i与各子节点j之间的阻抗。
4、计算各节点的电压修正量
ΔUj=|Uj-Uj(0)|
5、判别收敛条件
maxΔUj(k)<ω
其中最大修正量小于阈值ω的时候跳出迭代,k为迭代次数。
结合电动汽车充电站的有功负荷值Pc,计算充电站负载率α,具体为:
α=Pc_∑/Pc_max
其中,Pc_∑为待优化时段充电站总的有功负荷;Pc_max为充电站额定有功功率。
步骤二:结合充电站的负荷功率以及所在区域电网的潮流状况,计算充电站无功功率;
步骤三:计算当前电动汽车充电站负载率和区域电网的负荷率;
结合充电站所在区域电网负荷值,计算区域电网负荷率β:
β=Pload_∑/Pload_max
其中,Pload_∑为待优化时段区域电网的有功负荷值;Pload_max为区域电网一年内的最大有功负荷。
其中,αmax、αmin分别为电动汽车充电站高峰和低谷时段的负载率阈值;βmax、βmin分别为负荷高峰和低谷时段区域电网的负荷率阈值;a、b为相应的权重系数,且a+b=0.1。
步骤四:基于充电站负载率和区域电网的负荷率,计算充电站无功补偿量,建立电动汽车充电站主动无功补偿模型;
补偿前:
则需求的补偿容量为:
步骤五:以配电网有功损耗最小、负荷波动最小以及各节点电压偏差最小为目标,建立多目标无功优化模型。
建立电动汽车充电站主动参与电网无功补偿模型后,以配电网有功损耗最小、负荷波动最小以及各节点电压偏差最小为目标,建立多目标无功优化模型,目标函数为:
min[f1,f2,f3]
根据电网实际运行情况设置约束条件,分为等式约束和不等式约束。
功率平衡方程:
不等式约束包括状态变量的不等式约束,发电机无功出力上下限:QGimin≤QGi≤QGimax;节点电压上下限:Uimin≤Ui≤Uimax;控制变量的不等式约束,无功补偿容量的上下限:QCimin≤QCi≤QCimax;发电机机端电压的上下限:UGimin≤UGi≤UGimax;变压器变比的上下限:Ttimin≤Tti≤Ttimax;电动汽车充电站功率因数控制目标上下限:
综上所述,该电动汽车并网无功补偿控制方法在传统无功优化问题的基础上加上对电动汽车充电站功率因数的控制进行无功补偿。首先对充电站负荷建模得到负荷曲线,接入配电网计算潮流得到每个节点的有功无功,以及网络损耗等。在状态变量以及控制变量的约束下,以有功损耗最小、负荷波动最小以及电压波动最小为目标函数,建立多目标无功优化模型,解决了电动汽车接入的谐波污染和无功不足的问题。
需要说明的是,在本文中,诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者设备所固有的要素。
尽管已经示出和描述了本发明的实施例,对于本领域的普通技术人员而言,可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型,本发明的范围由所附权利要求及其等同物限定。
Claims (7)
1.一种电动汽车并网无功补偿控制方法,其特征在于:包括如下步骤:
步骤一:获取当前电动汽车充电站的负荷功率水平以及充电站所在区域电网的负荷值,对充电站所在区域电网进行潮流计算;
步骤二:结合充电站的负荷功率以及所在区域电网的潮流状况,计算充电站无功功率;
步骤三:计算当前电动汽车充电站负载率和区域电网的负荷率;
步骤四:基于充电站负载率和区域电网的负荷率,计算充电站无功补偿量,建立电动汽车充电站主动无功补偿模型;
步骤五:以配电网有功损耗最小、负荷波动最小以及各节点电压偏差最小为目标,建立多目标无功优化模型。
2.根据权利要求1所述的一种电动汽车并网无功补偿控制方法,其特征在于:所述步骤一具体为:首先要对电动汽车充电站建立数学模型,获取待优化时段充电站的充电负荷值Pc;获取待优化时段充电站所在区域电网各节点的负荷值S1,S2,S3,……Sj,……;对充电站所在区域电网进行潮流计算。
3.根据权利要求2所述的一种电动汽车并网无功补偿控制方法,其特征在于:在已知充电负荷值Pc以及所在区域电网负荷值S1,S2,S3,……Sj,……;的基础上,计算区域电网的潮流分布,具体为:
其中Pi是电动汽车充电站所在节点i的有功负荷,Pload是节点i的基础负荷。
1、根据基尔霍夫电流定律,从第一层节点开始遍历,支路上各节点电流如式:
2、结合上述公式,除末节点外,一层一层逐步计算其他节点的注入电流:
3、计算出整个配电网的支路电流后,结合已知的根节点电压,依次计算各节点的电压:
Uj=Ui-IijZij=Ui-Iij(Rij+jXij)
其中Zij=Rij+jXij为始端节点i与各子节点j之间的阻抗。
4、计算各节点的电压修正量
ΔUj=|Uj-Uj(0)|
5、判别收敛条件
maxΔUj(k)<ω
其中最大修正量小于阈值ω的时候跳出迭代,k为迭代次数。
4.根据权利要求2或3所述的一种电动汽车并网无功补偿控制方法,其特征在于:结合电动汽车充电站的有功负荷值Pc,计算充电站负载率α,具体为:
α=Pc_∑/Pc_max
其中,Pc_∑为待优化时段充电站总的有功负荷;Pc_max为充电站额定有功功率。
结合充电站所在区域电网负荷值,计算区域电网负荷率β:
β=Pload_∑/Pload_max
其中,Pload_∑为待优化时段区域电网的有功负荷值;Pload_max为区域电网一年内的最大有功负荷。
7.根据权利要求6所述的一种电动汽车并网无功补偿控制方法,其特征在于:在建立电动汽车充电站主动参与电网无功补偿模型后,以配电网有功损耗最小、负荷波动最小以及各节点电压偏差最小为目标,建立多目标无功优化模型,目标函数为:
min[f1,f2,f3]
根据电网实际运行情况设置约束条件,分为等式约束和不等式约束。
功率平衡方程:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111084619.1A CN113629747B (zh) | 2021-09-16 | 2021-09-16 | 一种电动汽车并网无功补偿控制方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111084619.1A CN113629747B (zh) | 2021-09-16 | 2021-09-16 | 一种电动汽车并网无功补偿控制方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113629747A true CN113629747A (zh) | 2021-11-09 |
CN113629747B CN113629747B (zh) | 2022-08-12 |
Family
ID=78390263
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111084619.1A Active CN113629747B (zh) | 2021-09-16 | 2021-09-16 | 一种电动汽车并网无功补偿控制方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113629747B (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114629127A (zh) * | 2022-04-08 | 2022-06-14 | 国家电网公司东北分部 | 电动汽车充电站参与电网调压的建模与控制方法 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2014262212A1 (en) * | 2014-10-08 | 2016-04-28 | State Grid Corporation Of China | A multi-objective stochastic programming method of electric vehicle charging load based on non-dominated sorting genetic algorithm |
CN109390953A (zh) * | 2018-11-20 | 2019-02-26 | 国电南瑞科技股份有限公司 | 含分布式电源和电动汽车的低压配电网无功电压协调控制方法和系统 |
CN109389236A (zh) * | 2017-08-07 | 2019-02-26 | 贵州电网有限责任公司电力科学研究院 | 电动汽车有序充电与无功优化协调控制策略 |
CN109583706A (zh) * | 2018-11-08 | 2019-04-05 | 国网浙江省电力有限公司经济技术研究院 | 配电系统接纳电动汽车能力的多元优化评估方法及系统 |
CN112131733A (zh) * | 2020-09-15 | 2020-12-25 | 燕山大学 | 计及电动汽车充电负荷影响的分布式电源规划方法 |
CN112928760A (zh) * | 2021-02-04 | 2021-06-08 | 中国电建集团青海省电力设计院有限公司 | 计及电网负荷波动的风电场主动无功补偿控制方法 |
CN112993979A (zh) * | 2021-02-22 | 2021-06-18 | 广东电网有限责任公司韶关供电局 | 配电网无功优化方法、装置、电子设备和存储介质 |
-
2021
- 2021-09-16 CN CN202111084619.1A patent/CN113629747B/zh active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2014262212A1 (en) * | 2014-10-08 | 2016-04-28 | State Grid Corporation Of China | A multi-objective stochastic programming method of electric vehicle charging load based on non-dominated sorting genetic algorithm |
CN109389236A (zh) * | 2017-08-07 | 2019-02-26 | 贵州电网有限责任公司电力科学研究院 | 电动汽车有序充电与无功优化协调控制策略 |
CN109583706A (zh) * | 2018-11-08 | 2019-04-05 | 国网浙江省电力有限公司经济技术研究院 | 配电系统接纳电动汽车能力的多元优化评估方法及系统 |
CN109390953A (zh) * | 2018-11-20 | 2019-02-26 | 国电南瑞科技股份有限公司 | 含分布式电源和电动汽车的低压配电网无功电压协调控制方法和系统 |
CN112131733A (zh) * | 2020-09-15 | 2020-12-25 | 燕山大学 | 计及电动汽车充电负荷影响的分布式电源规划方法 |
CN112928760A (zh) * | 2021-02-04 | 2021-06-08 | 中国电建集团青海省电力设计院有限公司 | 计及电网负荷波动的风电场主动无功补偿控制方法 |
CN112993979A (zh) * | 2021-02-22 | 2021-06-18 | 广东电网有限责任公司韶关供电局 | 配电网无功优化方法、装置、电子设备和存储介质 |
Non-Patent Citations (2)
Title |
---|
赵彦锦等: "考虑电动汽车的配电网无功优化", 《电气工程学报》 * |
邢志斌等: "含电动汽车充电站和风电的配电网无功优化", 《电气应用》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114629127A (zh) * | 2022-04-08 | 2022-06-14 | 国家电网公司东北分部 | 电动汽车充电站参与电网调压的建模与控制方法 |
CN114629127B (zh) * | 2022-04-08 | 2024-04-26 | 国家电网公司东北分部 | 电动汽车充电站参与电网调压的建模与控制方法 |
Also Published As
Publication number | Publication date |
---|---|
CN113629747B (zh) | 2022-08-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
García-Triviño et al. | Power control based on particle swarm optimization of grid-connected inverter for hybrid renewable energy system | |
CN106549392B (zh) | 一种配电网协调控制方法 | |
CN107392418B (zh) | 一种城市配电网网络重构方法及系统 | |
CN104578121B (zh) | 一种混合储能系统功率分配的方法及系统 | |
CN110601198B (zh) | 计及谐波和电压不平衡约束的混合微电网优化运行方法 | |
CN110896231B (zh) | 一种扶贫区配电网接纳分布式光伏能力计算方法及系统 | |
CN109347351A (zh) | 一种模块化多电平换流器的模型预测控制方法 | |
CN109274135B (zh) | 基于光伏电站有功出力的无功优化控制方法 | |
CN114362267B (zh) | 考虑多目标优化的交直流混合配电网分散式协调优化方法 | |
CN111130121A (zh) | 一种dg和ev环境下配电网无功补偿系统的模糊协调控制计算方法 | |
Astero et al. | Improvement of RES hosting capacity using a central energy storage system | |
Gao et al. | An active and reactive power controller for battery energy storage system in microgrids | |
CN113629747B (zh) | 一种电动汽车并网无功补偿控制方法 | |
CN113962159A (zh) | 一种基于合理弃光的配电网光伏最大接入容量的评估方法 | |
CN109962485A (zh) | 一种面向源网荷友好互动的复合储能装置选址定容方法 | |
CN107134783B (zh) | 一种基于灵敏度快速筛选的母线电压优化调整方法 | |
Zhang et al. | Distributed predefined-time control for hybrid AC/DC microgrid | |
CN110112723A (zh) | 一种直流微电网离网状态下的下垂控制方法 | |
CN115689187A (zh) | 一种配电网分布式光伏可开放容量计算方法及系统 | |
CN110957767B (zh) | 微电网电能质量的治理方法及装置 | |
Zhang et al. | Calculation Method for Maximum Accommodation Capacity of Distributed Photovoltaic in Distribution Network Considering Various Electrical Constraints | |
Zou et al. | Optimal Reactive Power Adjustment Based on Jacobi Matrix Decomposition | |
CN110829440A (zh) | 一种三相中低压一体化配电网电压控制方法及系统 | |
Elgammal et al. | Minimum Harmonic Distortion Losses and Power Quality Improvement of Grid Integration Photovoltaic-Wind Based Smart Grid Utilizing MOPSO | |
Li et al. | Newton-Raphson Method Based Power Flow Analysis and Dynamic Security Assessment [J] |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20220531 Address after: 243000 No.7 Huayu Road, Ma'anshan City, Anhui Province Applicant after: STATE GRID ANHUI ELECTRIC POWER CO.,LTD. MAANSHAN POWER SUPPLY CO. Address before: 243000 No.7 Huayu Road, Ma'anshan City, Anhui Province Applicant before: STATE GRID ANHUI ELECTRIC POWER CO.,LTD. MAANSHAN POWER SUPPLY CO. Applicant before: STATE GRID CORPORATION OF CHINA |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |