WO2023082223A1 - 考虑调频里程需求约束的能量与辅助服务联合优化方法 - Google Patents
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- the technical field of power system operation and control of the present invention specifically relates to a unit combination under the background of coordinated optimization of frequency modulation, backup auxiliary services and electric energy, especially a joint optimization method of energy and auxiliary services considering the constraints of frequency modulation mileage requirements .
- the present invention provides a joint optimization method of energy and auxiliary services considering the constraint of frequency regulation mileage demand.
- the optimization method effectively optimizes the real-time output of the power system, realizes the maximization of social welfare, and improves the efficiency of market operation.
- the present invention is a joint optimization method of energy and auxiliary services considering the constraints of frequency modulation mileage requirements, and the method includes the following steps:
- a further improvement of the present invention is: the specific process of the step 1) is:
- the further improvement of the present invention is: in the step 2), construct a real-time market clearing model that considers the joint optimization of energy and auxiliary services constrained by frequency modulation mileage requirements, including output operating costs, frequency modulation costs and backup costs, and constructs an objective function:
- N the total number of units
- T represents the total number of periods considered
- P i,t represents the output of unit i in time period t
- SPR i represents the plant power consumption rate of unit i
- C i,t (P i,t ,SPR i ) is the operating cost of generating unit i’s online output in time period t, expressed as:
- NM is the total number of unit quotations
- P i,t,m is the bid-winning power of unit i in the mth output interval at time t
- C i,m is the energy price corresponding to the mth output interval declared by the unit, and SPR i correlation;
- the cost of unit frequency regulation can be expressed as:
- Quotation for the frequency regulation capacity of the generator set, re c,i is the bidding frequency regulation capacity of the generator set;
- Quotation for the frequency regulation mileage of the generator set, re m,i is the winning frequency regulation mileage of the generator set;
- the unit standby cost can be expressed as:
- the further improvement of the present invention is: in the step 2), construct the constraint conditions of the real-time market clearing model that considers the energy and auxiliary service joint optimization of frequency modulation mileage demand constraints, and the constraints include:
- P i,t represents the output of unit i in period t
- T j,t represents the planned power of receiving gate j in period t (the output is negative, and the input is positive)
- NT is the total number of receiving gates
- P Dt is the system load in time period t;
- the positive-standby constraint can be described as:
- the negative reserve constraint can be described as:
- the output of the unit should be between its output upper limit and output lower limit, and its constraints can be described as:
- the device stability limit constraint can be described as:
- P s,t is the active power of equipment s at time t
- the present invention comprehensively considers the quotation data of each market subject, the operating parameters of the power system, and the characteristics of the frequency regulation capacity, reserve capacity and power generation sharing unit output space, and through the joint optimization of the clearing model, it is guaranteed to meet Under the premise of power system security and stability constraints, the pursuit of the lowest total cost of generator energy, frequency regulation and backup auxiliary services.
- the invention can effectively optimize the real-time output of the power system, realize the maximization of social welfare, improve the efficiency of market operation, and avoid the occurrence of dispatching means intervening in market behavior.
- Fig. 1 is a flow chart of the present invention.
- the present invention is a joint optimization method of energy and auxiliary services considering the constraint of frequency modulation mileage demand, and the method includes the following steps:
- the concrete process of described step 1) is:
- step 2) construct a real-time market clearing model that considers the constraints of frequency modulation mileage demand constraints and joint optimization of energy and auxiliary services.
- the target power generation cost of the clearing model is the smallest, including output operating costs, frequency modulation costs and backup costs, and constructs an objective function :
- N the total number of units
- T represents the total number of periods considered
- P i,t represents the output of unit i in time period t
- SPR i represents the plant power consumption rate of unit i
- C i,t (P i,t ,SPR i ) is the operating cost of generating unit i’s online output in time period t, expressed as:
- NM is the total number of unit quotations
- P i,t,m is the bid-winning power of unit i in the mth output interval at time t
- C i,m is the energy price corresponding to the mth output interval declared by the unit, and SPR i correlation;
- the cost of unit frequency regulation can be expressed as:
- Quotation for the frequency regulation capacity of the generator set, re c,i is the bidding frequency regulation capacity of the generator set;
- Quotation for the frequency regulation mileage of the generator set, re m,i is the winning frequency regulation mileage of the generator set;
- the unit standby cost can be expressed as:
- the constraint conditions of the real-time market clearing model for the joint optimization of energy and auxiliary services considering the frequency modulation mileage demand constraints are constructed, and the constraints include: (a) system load balance constraints
- P i,t represents the output of unit i in period t
- T j,t represents the planned power of receiving gate j in period t (the output is negative, and the input is positive)
- NT is the total number of receiving gates
- P Dt is the system load in time period t;
- the positive-standby constraint can be described as:
- the negative reserve constraint can be described as:
- the output of the unit should be between its output upper limit and output lower limit, and its constraints can be described as:
- the device stability limit constraint can be described as:
- P s,t is the active power of equipment s at time t
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Abstract
本发明是一种考虑调频里程需求约束的能量与辅助服务联合优化方法,该方法包括如下步骤:1)输入负荷、售电公司以及发电商等市场主体的申报数据,输入电力系统的运行参数;2)利用市场主体的报价数据以及电力系统的运行参数,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型的目标函数及约束条件;3)求解优化模型,计算后得到每台发电机的启停状态,指导日前机组的启停机计划。本发明综合考虑了各市场主体的报价数据、电力系统的运行参数以及调频容量、备用容量和发电量共享机组出力空间的特性,通过联合优化出清模型,在保证满足电力系统安全稳定约束的前提下,追求发电机能量与调频及备用辅助服务总成本最低。
Description
本发明电力系统运行和控制技术领域,具体的说是涉及一种调频、备用辅助服务与电能量协调优化背景下的机组组合,尤其是一种考虑调频里程需求约束的能量与辅助服务联合优化方法。
当前,电力市场改革的全面展开,由于电能量与备用、调频辅助服务共用发电机组的发电空间,两者在市场环境下的优化出清问题为现有的机组组合带来了严峻的挑战,同时,调度机构如何在考虑电力系统运行安全约束的同时,兼顾电力系统运行的经济性成为影响电力市场安全稳定运行的重要因素,并给电力系统的正常运行带来了较大的不确定性。
如果实时的电力系统出清模型不合理,则会出现出清结果与实际的电力系统运行情况不匹配,从而需要采取紧急再调度以保证系统正常运行,但是,这会影响市场运行的效率,使得使得各发电厂商参与市场的积极性下降,影响到电力市场的稳定运行,并进一步影响到整个电力系统的安全性和有效性。
发明内容
为了解决上述问题,本发明提供一种考虑调频里程需求约束的能量与辅助服务联合优化方法,该优化方法有效地优化电力系统的实时出力,实现社会福利最大化,提高市场运行的效率。
为了达到上述目的,本发明是通过以下技术方案实现的:
本发明是一种考虑调频里程需求约束的能量与辅助服务联合优化方法,该方法包括如下步骤:
1)输入负荷、售电公司以及发电商等市场主体的申报数据,输入电力系统的运行参数;
2)利用市场主体的报价数据以及电力系统的运行参数,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型的目标函数及约束条件;
3)求解优化模型,计算后得到每台发电机的启停状态,指导日前机组的启停机计划。
本发明的进一步改进在于:所述步骤1)的具体过程为:
101)输入市场主体的申报数据,包括电能、调频以及备用的报价数据;
102)设定系统联络线的电导、电纳参数以及线路传输功率极限、各个节点负荷预测值。
本发明的进一步改进在于:所述步骤2)中,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型,包括出力运行成本、调频成本和备用成本,构建目标函数:
其中:
N表示机组的总台数;
T表示所考虑的总时段数;
P
i,t表示机组i在时段t的出力;
SPR
i表示机组i的厂用电率;
C
i,t(P
i,t,SPR
i)为机组i在时段t的上网出力运行成本,表示为:
其中,NM为机组报价总段数,P
i,t,m为机组i在t时刻第m个出力区间中的中标电力,C
i,m为机组申报的第m个出力区间对应的能量价格,与SPR
i相关;
机组调频成本可表示为:
机组备用成本可表示为:
本发明的进一步改进在于:所述步骤2)中,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型的约束条件,所述约束条件包括:
(a)系统负荷平衡约束
对每个时段t,系统平衡约束可以描述为:
其中,P
i,t表示机组i在时段t的出力,T
j,t表示受电关口j在时段t的计划功率(输出为负、送入为正),NT为受电关口总数,P
Dt为时段t的系统负荷;
(b)正备用约束
对每个时段t,正备用约束可以描述为:
(c)负备用约束
对每个时段t,负备用约束可以描述为:
(d)备用容量约束
(e)调频约束
其中,
为机组i在t时的中标调频容量;
为机组i在t时的中标调频里程,RE
t为系统t时调频容量需求;
为机组i在t-j时的实际调用调频里程;k
i为机组i的调频里程松弛系数;v
i为发电机组的最大出力变化速率;
(f)机组出力上下限约束
机组的出力应处于其出力上限和出力下限之间,其约束条件可以描述为:
(g)功率调整速率约束
机组调整功率时,应满足机组的功率调整速率要求,其约束条件可以描述为:
(h)设备稳定限额约束
设备稳定限额约束可以描述为:
本发明的有益效果是:本发明综合考虑了各市场主体的报价数据、电力系统的运行参数以及调频容量、备用容量和发电量共享机组出力空间的特性,通过联合优化出清模型,在保证满足电力系统安全稳定约束的前提下,追求发电机能量与调频及备用辅助服务总成本最低。
本发明可以有效地优化电力系统的实时出力,实现社会福利最大化,提高市场运行的效率,避免调度手段干预市场行为的情况发生。
图1是本发明的流程图。
以下将以图式揭露本发明的实施方式,为明确说明起见,许多实务上的细节将在以下叙述中一并说明。然而,应了解到,这些实务上的细节不应用以限制本发明。也就是说,在本发明的部分实施方式中,这些实务上的细节是非必要的。
如图1所示,本发明是一种考虑调频里程需求约束的能量与辅助服务联合优化方法,该方法包括如下步骤:
1)输入负荷、售电公司以及发电商等市场主体的申报数据,输入电力系统的运行参数;
所述步骤1)的具体过程为:
101)输入市场主体的申报数据,包括电能、调频以及备用的报价数 据;
102)设定系统联络线的电导、电纳参数以及线路传输功率极限、各个节点负荷预测值。
2)利用市场主体的报价数据以及电力系统的运行参数,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型的目标函数及约束条件;
所述步骤2)中,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型,出清模型的目标发电成本最小,包括出力运行成本、调频成本和备用成本,构建目标函数:
其中:
N表示机组的总台数;
T表示所考虑的总时段数;
P
i,t表示机组i在时段t的出力;
SPR
i表示机组i的厂用电率;
C
i,t(P
i,t,SPR
i)为机组i在时段t的上网出力运行成本,表示为:
其中,NM为机组报价总段数,P
i,t,m为机组i在t时刻第m个出力区间中的中标电力,C
i,m为机组申报的第m个出力区间对应的能量价格,与SPR
i相关;
机组调频成本可表示为:
机组备用成本可表示为:
所述步骤2)中,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型的约束条件,所述约束条件包括:(a)系统负荷平衡约束
对每个时段t,系统平衡约束可以描述为:
其中,P
i,t表示机组i在时段t的出力,T
j,t表示受电关口j在时段t的计划功率(输出为负、送入为正),NT为受电关口总数,P
Dt为时段t的系统负荷;
(b)正备用约束
对每个时段t,正备用约束可以描述为:
(c)负备用约束
对每个时段t,负备用约束可以描述为:
(d)备用容量约束
(e)调频约束
其中,
为机组i在t时的中标调频容量;
为机组i在t时的中标调频里程,RE
t为系统t时调频容量需求;
为机组
i在t-j时的实际调用调频里程;k
i为机组i的调频里程松弛系数;v
i为发电机组的最大出力变化速率;
(f)机组出力上下限约束
机组的出力应处于其出力上限和出力下限之间,其约束条件可以描述为:
(g)功率调整速率约束
机组调整功率时,应满足机组的功率调整速率要求,其约束条件可以描述为:
(h)设备稳定限额约束
设备稳定限额约束可以描述为:
3)求解优化模型,计算后得到每台发电机的启停状态,指导日前机组的启停机计划。
以上所述仅为本发明的实施方式而已,并不用于限制本发明。对于本领域技术人员来说,本发明可以有各种更改和变化。凡在本发明的精神和原理的内所作的任何修改、等同替换、改进等,均应包括在本发明的权利要求范围之内。
Claims (4)
- 考虑调频里程需求约束的能量与辅助服务联合优化方法,其特征在于:该方法包括如下步骤:1)输入负荷、售电公司以及发电商等市场主体的申报数据,输入电力系统的运行参数;2)利用市场主体的报价数据以及电力系统的运行参数,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型的目标函数及约束条件;3)求解优化模型,计算后得到每台发电机的启停状态,指导日前机组的启停机计划。
- 根据权利要求1所述考虑调频里程需求约束的能量与辅助服务联合优化方法,其特征在于:所述步骤1)的具体过程为:101)输入市场主体的申报数据,包括电能、调频以及备用的报价数据;102)设定系统联络线的电导、电纳参数以及线路传输功率极限、各个节点负荷预测值。
- 根据权利要求1所述考虑调频里程需求约束的能量与辅助服务联合优化方法,其特征在于:所述步骤2)中,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型,包括出力运行成本、调频成本和备用成本,构建目标函数:其中:N表示机组的总台数;T表示所考虑的总时段数;P i,t表示机组i在时段t的出力;SPR i表示机组i的厂用电率;C i,t(P i,t,SPR i)为机组i在时段t的上网出力运行成本,表示为:其中,NM为机组报价总段数,P i,t,m为机组i在t时刻第m个出力区间中的中标电力,C i,m为机组申报的第m个出力区间对应的能量价格,与SPR i相关;机组调频成本可表示为:其中,B c,i t为发电机组的调频容量报价,re c,i为发电机组的中标调频容量;B m,i t为发电机组的调频里程报价,re m,i为发电机组的中标调频里程量;机组备用成本可表示为:
- 根据权利要求1所述考虑调频里程需求约束的能量与辅助服务联合优化方法,其特征在于:所述步骤2)中,构建考虑调频里程需求约束的能量与辅助服务联合优化的实时市场出清模型的约 束条件,所述约束条件包括:(a)系统负荷平衡约束对每个时段t,系统平衡约束可以描述为:其中,P i,t表示机组i在时段t的出力,T j,t表示受电关口j在时段t的计划功率(输出为负、送入为正),NT为受电关口总数,P Dt为时段t的系统负荷;(b)正备用约束对每个时段t,正备用约束可以描述为:(c)负备用约束对每个时段t,负备用约束可以描述为:(d)备用容量约束(e)调频约束其中, 为机组i在t时的中标调频容量; 为机组i在t时的中标调频里程,RE t为系统t时调频容量需求; 为机组i在t-j时的实际调用调频里程;k i为机组i的调频里程松弛系数;v i为发电机组的最大出力变化速率;(f)机组出力上下限约束机组的出力应处于其出力上限和出力下限之间,其约束条件可以描述为:(g)功率调整速率约束机组调整功率时,应满足机组的功率调整速率要求,其约束条件可以描述为:P i,t-P i,t-1≤△P i UP i,t-1-P i,t≤△P i D其中,△P i U表示机组的上爬坡速率,△P i D表示机组的下爬坡速率;(h)设备稳定限额约束设备稳定限额约束可以描述为:P s min≤P s,t≤P s max其中,P s,t是设备s的t时刻的有功功率,P s max是设备s的稳定限额上限,P s min是设备s的稳定限额下限。
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