CN116054212A - Optimization scheduling operation method, system, equipment and medium for pumped storage power station - Google Patents

Optimization scheduling operation method, system, equipment and medium for pumped storage power station Download PDF

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Publication number
CN116054212A
CN116054212A CN202310035045.1A CN202310035045A CN116054212A CN 116054212 A CN116054212 A CN 116054212A CN 202310035045 A CN202310035045 A CN 202310035045A CN 116054212 A CN116054212 A CN 116054212A
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power
period
output
unit
power station
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彭书涛
李小腾
刘瑶
高雨婷
周雨豪
李怡然
周倩
夏楠
郑天悦
雷妤航
商文婧
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National Network Xi'an Environmental Protection Technology Center Co ltd
Electric Power Research Institute of State Grid Shaanxi Electric Power Co Ltd
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National Network Xi'an Environmental Protection Technology Center Co ltd
Xian University of Technology
Electric Power Research Institute of State Grid Shaanxi Electric Power Co Ltd
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Publication of CN116054212A publication Critical patent/CN116054212A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J15/00Systems for storing electric energy
    • H02J15/003Systems for storing electric energy in the form of hydraulic energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a method, a system, equipment and a medium for optimizing and dispatching a pumped storage power station, wherein the method for optimizing and dispatching the pumped storage power station comprises the following steps: acquiring an optimal scheduling operation model of the pumped storage power station based on a multi-energy power generation system to be optimally scheduled; and solving the optimal scheduling operation model of the pumped storage power station to obtain an optimal scheduling operation mode. According to the technical scheme provided by the invention, an objective function is built based on the minimum carbon emission, so that the new energy consumption level can be improved, the energy storage function of pumped storage is fully utilized, the clean and efficient operation of the electric power system can be promoted, and the carbon emission of a regional power grid can be reduced.

Description

Optimization scheduling operation method, system, equipment and medium for pumped storage power station
Technical Field
The invention belongs to the technical field of power station scheduling, and particularly relates to a method, a system, equipment and a medium for optimizing scheduling operation of a pumped storage power station.
Background
With the increasing exhaustion of fossil energy, environmental pollution, climate change, global warming and other problems, the green and efficient use of clean energy has received great attention.
At present, a thermal power unit is mainly used as a main power generation form and a peak regulation main body, and thermal power generation is the most main carbon emission source in the power industry; in the production operation of a thermal power generating unit, key links such as fossil fuel combustion, desulfurization and the like can generate carbon dioxide, and carbon emission control is the core for realizing carbon neutralization. In recent years, the scale of new energy is continuously and rapidly developed, the proportion of wind power and photovoltaic power generation in an electric power system is increased year by year, the installed capacity of the new energy is rapidly increased, and a serious wind and light discarding phenomenon is generated at the same time. The pumped storage power station unit responds rapidly, can be flexibly adjusted in real time, promotes the consumption of renewable energy sources, and is clean and efficient.
Along with the continuous development and perfection of low-carbon economy, the reduction of carbon emission and the promotion of new energy consumption become the power dispatching reality problems to be solved urgently; at present, most of optimal scheduling operation of the pumped storage power station takes economy as an optimal target, and the optimal scheduling operation method of the pumped storage power station for reducing the carbon emission needs to be studied and solved in depth so as to promote realization of a double-carbon target.
Disclosure of Invention
The invention aims to provide a pumped storage power station optimal scheduling operation method, a pumped storage power station optimal scheduling operation system, pumped storage power station optimal scheduling operation equipment and a pumped storage power station optimal scheduling operation medium, so as to solve one or more of the technical problems. According to the technical scheme provided by the invention, the carbon discharge is taken as a main body optimization target, so that the clean and efficient operation of the power system can be promoted, and the carbon discharge of a power grid can be reduced.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention provides an optimized dispatching operation method of a pumped storage power station, which comprises the following steps:
acquiring an optimal scheduling operation model of the pumped storage power station based on a multi-energy power generation system to be optimally scheduled;
solving the optimal scheduling operation model of the pumped storage power station to obtain an optimal scheduling operation mode;
wherein the expression of the objective function of the optimal scheduling operation model of the pumped storage power station is as follows,
Figure BDA0004048366100000021
wherein f is regional power grid power supply carbon emission; t is the total time length of the scheduling period; p (P) t coal The output power of the coal-fired generator set in the t period; c (C) coal Carbon emission coefficient of the full life cycle of coal-fired power generation; p (P) t oil The output power of the fuel generator set in the t period is; c (C) oil Generating electricity for fuel oilLife cycle carbon emission coefficient; p (P) t gas The output power of the gas generator set in the t period; c (C) gas Carbon emission coefficient of the whole life cycle of the gas power generation; p (P) t unclear The output power of the nuclear power unit in the period t; c (C) unclear Is the carbon emission coefficient of the nuclear power full life cycle; p (P) t csp The output power of the photo-thermal unit in the t period; c (C) csp Carbon emission coefficient of the full life cycle of photo-thermal power generation; p (P) t bat Output power of the energy storage battery in a t period; c (C) bat Carbon emission coefficient of the whole life cycle of the energy storage battery; p (P) t wind The output power of the wind generating set in the period t is the output power of the wind generating set in the period t; c (C) wind Carbon emission coefficient of the full life cycle of wind power generation; p (P) t pv Output power of the photovoltaic power generation t period; c (C) pv The carbon emission coefficient is the full life cycle of photovoltaic power generation; p (P) t hydro The output power of the hydroelectric generating set in the t period; c (C) hydro The carbon emission coefficient is the full life cycle of hydroelectric generation; p (P) t cx The output power of the pump is stored for the period t; c (C) cx Carbon emission coefficient of the whole life cycle of pumped storage; Δt is 1 hour or 15 minutes.
The invention further improves that the constraint condition of the optimal scheduling operation model of the pumped storage power station comprises:
1) The pumped storage power station reservoir capacity constraint is expressed as:
Figure BDA0004048366100000022
in the method, in the process of the invention,
Figure BDA0004048366100000023
respectively the minimum storage capacity, the t-period storage capacity and the maximum storage capacity of the pumped storage power station; q (Q) h,in (t)、Q h,out (t) the warehouse-in flow and the warehouse-out flow of the pumping and accumulating power station in the period t respectively; η (eta) c,cx 、η d,cx Pumping water and generating efficiency of the pumped storage power station respectively;
2) Pumped power constraint for pumped storage power stationExpressed as:
Figure BDA0004048366100000024
in the method, in the process of the invention,
Figure BDA0004048366100000031
respectively pumping power minimum, pumping power t time period and pumping power maximum of an ith unit in the pumping process of the pumped storage power station;
3) The power generation constraint of the pumped storage power station is expressed as:
Figure BDA0004048366100000032
in the method, in the process of the invention,
Figure BDA0004048366100000033
respectively the minimum power generation power, the t-period power generation power and the maximum power generation power of the ith unit in the power generation process of the pumped storage power station;
4) The operation condition constraint of the pumped storage unit is expressed as:
Figure BDA0004048366100000034
in the method, in the process of the invention,
Figure BDA0004048366100000035
pumping water for the pumped storage power station; />
Figure BDA0004048366100000036
Generating power for the pumped storage power station;
5) The climbing constraint of the pumped storage unit is expressed as:
Figure BDA0004048366100000037
in the method, in the process of the invention,
Figure BDA0004048366100000038
maximum downhill and uphill capacities of an ith unit of the pumped storage power station respectively;
6) The technical output constraint of the thermal power generating unit is expressed as follows: p (P) imin ≤P i,t ≤P imax
Wherein P is imin 、P i,t 、P imax The lower output limit, the output in the period of t and the upper output limit of the thermal power unit i are set;
7) The climbing constraint of the thermal power generating unit is expressed as follows:
Figure BDA0004048366100000039
wherein P is i,t The output is generated for the t period of the thermal power unit i; ΔP i,up 、ΔP i,down The ascending and descending speeds of the ith thermal power generating unit are respectively;
8) The technical output constraint of the nuclear power unit is expressed as follows:
Figure BDA00040483661000000310
in the method, in the process of the invention,
Figure BDA00040483661000000311
the output lower limit, the output in the period of t and the output upper limit of the nuclear power unit i are set; />
9) The climbing constraint of the nuclear power unit is expressed as:
Figure BDA00040483661000000312
in the method, in the process of the invention,
Figure BDA00040483661000000313
the output is generated for the period t of the nuclear power unit i; />
Figure BDA00040483661000000314
The ascending and descending speed of the ith nuclear power unit;
10 A photo-thermal power plant generator technical output constraint is expressed as:
Figure BDA00040483661000000315
in the method, in the process of the invention,
Figure BDA0004048366100000041
the method comprises the steps of setting the lower output limit, the output in the t period and the upper output limit of an ith unit of the photo-thermal power station;
11 A climbing constraint of the photo-thermal power station unit is expressed as follows:
Figure BDA0004048366100000042
in the method, in the process of the invention,
Figure BDA0004048366100000043
the output is generated for the period t of the photo-thermal unit i; r is R U,i 、R D,i Maximum climbing capacity of an ith generator of the photo-thermal power station;
12 A) the thermal dynamic balance constraint of the thermal collection field of the photo-thermal power station is expressed as:
Figure BDA0004048366100000044
in the method, in the process of the invention,
Figure BDA0004048366100000045
the heat of the ith unit of the photo-thermal power station for generating electricity, the total solar heat absorbed by a heat collection field, the heat of the photo-thermal power station for storing the heat to a heat tank and the heat of the photo-thermal power station for discarding the heat are respectively t time periods;
Figure BDA0004048366100000046
the heat storage efficiency of the hot tank and the power generation efficiency of the ith photo-thermal unit are respectively;
13 A) the thermal dynamic balance constraint of the photo-thermal power station heat storage tank is expressed as:
Figure BDA0004048366100000047
in the method, in the process of the invention,
Figure BDA0004048366100000048
heat stored in the thermal storage tank and the heat collection field are transferred to the thermal storage tank respectively for the period tHeat transferred from the heat storage tank to the power generation side; />
Figure BDA0004048366100000049
Is the heat release efficiency; />
Figure BDA00040483661000000410
The minimum and maximum heat storage quantity of the heat storage tank are respectively;
14 The energy storage power station charge-discharge power constraint is expressed as:
Figure BDA00040483661000000411
in the method, in the process of the invention,
Figure BDA00040483661000000412
respectively the minimum, real-time and maximum power of the ith electrochemical energy storage discharge in the t period; />
Figure BDA00040483661000000413
Respectively obtaining the minimum, real-time and maximum power of the ith electrochemical energy storage and charging in the t period;
15 State of charge constraints for the energy storage power station are expressed as: SOC of 0.ltoreq.SOC i,t ≤SOC i,max
In SOC i,max 、SOC i,t Respectively storing the maximum energy storage charge quantity of the ith station and the energy storage charge quantity of the t period;
16 Wind power output constraint is expressed as:
Figure BDA00040483661000000414
/>
in the method, in the process of the invention,
Figure BDA0004048366100000051
maximum power generation output of the wind power in the t period;
17 Photovoltaic output constraint is expressed as:
Figure BDA0004048366100000052
in the method, in the process of the invention,
Figure BDA0004048366100000053
maximum power generation output of the photovoltaic at the t period;
18 Hydroelectric generating set output constraint is expressed as:
Figure BDA0004048366100000054
in the method, in the process of the invention,
Figure BDA0004048366100000055
respectively the minimum output, the output in the period t and the maximum output of the hydroelectric generating set i;
19 Reservoir capacity constraints are expressed as: h h,min Embroidering H h (t)H h,max
Wherein H is h,min 、H h (t)、H h,max The method comprises the steps of setting the minimum reservoir capacity, the t-period reservoir capacity and the maximum reservoir capacity of the reservoir;
20 A power balance constraint is expressed as:
Figure BDA0004048366100000056
in the method, in the process of the invention,
Figure BDA0004048366100000057
P t PV 、P t wind 、/>
Figure BDA0004048366100000058
generating power of the pump storage unit, the coal-fired unit, the fuel oil unit, the gas unit, the nuclear power unit, the photo-thermal unit, the energy storage power station, the photovoltaic power station, the wind power station and the hydroelectric unit in the period t respectively; n (N) cx 、N coal 、N oil 、N gas 、N nuclear 、N csp 、N bat 、N hydro The number of the water pump energy storage units, the coal-fired units, the fuel oil units, the gas units, the nuclear power units, the photo-thermal units, the energy storage batteries and the hydroelectric units are respectively; p (P) t load 、/>
Figure BDA0004048366100000059
The power is respectively the load power in the t period, the charging power of the energy storage power station and the pumping power of the pumping and storage unit.
The invention further improves that solving the optimal scheduling operation model of the pumped storage power station, and the step of obtaining the optimal scheduling operation mode specifically comprises the following steps:
and calling a math optimization tool package CPLEX solver to solve the optimization scheduling operation model of the pumped storage power station to obtain an optimal operation mode.
The invention provides an optimized dispatching operation system of a pumped storage power station, which comprises the following components:
the model acquisition module is used for acquiring an optimal scheduling operation model of the pumped storage power station based on the multi-energy power generation system to be optimally scheduled;
the solving module is used for solving the optimal scheduling operation model of the pumped storage power station to obtain an optimal scheduling operation mode;
wherein the expression of the objective function of the optimal scheduling operation model of the pumped storage power station is as follows,
Figure BDA0004048366100000061
wherein f is regional power grid power supply carbon emission; t is the total time length of the scheduling period; p (P) t coal The output power of the coal-fired generator set in the t period; c (C) coal Carbon emission coefficient of the full life cycle of coal-fired power generation; p (P) t oil The output power of the fuel generator set in the t period is; c (C) oil Carbon emission coefficient of the full life cycle of fuel oil power generation; p (P) t gas The output power of the gas generator set in the t period; c (C) gas Carbon emission coefficient of the whole life cycle of the gas power generation; p (P) t unclear The output power of the nuclear power unit in the period t; c (C) unclear Is the carbon emission coefficient of the nuclear power full life cycle; p (P) t csp The output power of the photo-thermal unit in the t period; c (C) csp Is a complete generator for photo-thermal power generationA life cycle carbon emission coefficient; p (P) t bat Output power of the energy storage battery in a t period; c (C) bat Carbon emission coefficient of the whole life cycle of the energy storage battery; p (P) t wind The output power of the wind generating set in the period t is the output power of the wind generating set in the period t; c (C) wind Carbon emission coefficient of the full life cycle of wind power generation; p (P) t pv Output power of the photovoltaic power generation t period; c (C) pv The carbon emission coefficient is the full life cycle of photovoltaic power generation; p (P) t hydro The output power of the hydroelectric generating set in the t period; c (C) hydro The carbon emission coefficient is the full life cycle of hydroelectric generation; p (P) t cx The output power of the pump is stored for the period t; c (C) cx Carbon emission coefficient of the whole life cycle of pumped storage; Δt is 1 hour or 15 minutes.
The invention further improves that the constraint condition of the optimal scheduling operation model of the pumped storage power station comprises:
1) The pumped storage power station reservoir capacity constraint is expressed as:
Figure BDA0004048366100000062
in the method, in the process of the invention,
Figure BDA0004048366100000063
respectively the minimum storage capacity, the t-period storage capacity and the maximum storage capacity of the pumped storage power station; q (Q) h,in (t)、Q h,out (t) the warehouse-in flow and the warehouse-out flow of the pumping and accumulating power station in the period t respectively; η (eta) c,cx 、η d,cx Pumping water and generating efficiency of the pumped storage power station respectively;
2) The pumped power constraint of the pumped storage power station is expressed as:
Figure BDA0004048366100000064
in the method, in the process of the invention,
Figure BDA0004048366100000065
respectively minimum pumping power and t time of ith unit in pumping process of pumped storage power stationSegment pumping power, maximum pumping power;
3) The power generation constraint of the pumped storage power station is expressed as:
Figure BDA0004048366100000071
in the method, in the process of the invention,
Figure BDA0004048366100000072
respectively the minimum power generation power, the t-period power generation power and the maximum power generation power of the ith unit in the power generation process of the pumped storage power station;
4) The operation condition constraint of the pumped storage unit is expressed as:
Figure BDA0004048366100000073
in the method, in the process of the invention,
Figure BDA0004048366100000074
pumping water for the pumped storage power station; />
Figure BDA0004048366100000075
Generating power for the pumped storage power station;
5) The climbing constraint of the pumped storage unit is expressed as:
Figure BDA0004048366100000076
in the method, in the process of the invention,
Figure BDA0004048366100000077
maximum downhill and uphill capacities of an ith unit of the pumped storage power station respectively;
6) The technical output constraint of the thermal power generating unit is expressed as follows: p (P) imin ≤P i,t ≤P imax
Wherein P is imin 、P i,t 、P imax The lower output limit, the output in the period of t and the upper output limit of the thermal power unit i are set;
7) The climbing constraint of the thermal power generating unit is expressed as follows:
Figure BDA0004048366100000078
wherein P is i,t The output is generated for the t period of the thermal power unit i; ΔP i,up 、ΔP i,down The ascending and descending speeds of the ith thermal power generating unit are respectively;
8) The technical output constraint of the nuclear power unit is expressed as follows:
Figure BDA0004048366100000079
/>
in the method, in the process of the invention,
Figure BDA00040483661000000710
the output lower limit, the output in the period of t and the output upper limit of the nuclear power unit i are set;
9) The climbing constraint of the nuclear power unit is expressed as:
Figure BDA00040483661000000711
in the method, in the process of the invention,
Figure BDA00040483661000000712
the output is generated for the period t of the nuclear power unit i; />
Figure BDA00040483661000000713
The ascending and descending speed of the ith nuclear power unit;
10 A photo-thermal power plant generator technical output constraint is expressed as:
Figure BDA00040483661000000714
in the method, in the process of the invention,
Figure BDA00040483661000000715
the method comprises the steps of setting the lower output limit, the output in the t period and the upper output limit of an ith unit of the photo-thermal power station;
11 A climbing constraint of the photo-thermal power station unit is expressed as follows:
Figure BDA0004048366100000081
in the method, in the process of the invention,
Figure BDA0004048366100000082
the output is generated for the period t of the photo-thermal unit i; r is R U,i 、R D,i Maximum climbing capacity of an ith generator of the photo-thermal power station;
12 A) the thermal dynamic balance constraint of the thermal collection field of the photo-thermal power station is expressed as:
Figure BDA0004048366100000083
in the method, in the process of the invention,
Figure BDA0004048366100000084
the heat of the ith unit of the photo-thermal power station for generating electricity, the total solar heat absorbed by a heat collection field, the heat of the photo-thermal power station for storing the heat to a heat tank and the heat of the photo-thermal power station for discarding the heat are respectively t time periods;
Figure BDA0004048366100000085
the heat storage efficiency of the hot tank and the power generation efficiency of the ith photo-thermal unit are respectively;
13 A) the thermal dynamic balance constraint of the photo-thermal power station heat storage tank is expressed as:
Figure BDA0004048366100000086
in the method, in the process of the invention,
Figure BDA0004048366100000087
the heat stored in the heat storage tank, the heat transferred from the heat collection field to the heat storage tank and the heat transferred from the heat storage tank to the power generation side in the period t respectively; />
Figure BDA0004048366100000088
Is the heat release efficiency; />
Figure BDA0004048366100000089
The minimum and maximum heat storage quantity of the heat storage tank are respectively;
14 The energy storage power station charge-discharge power constraint is expressed as:
Figure BDA00040483661000000810
in the method, in the process of the invention,
Figure BDA00040483661000000811
respectively the minimum, real-time and maximum power of the ith electrochemical energy storage discharge in the t period; />
Figure BDA00040483661000000812
Respectively obtaining the minimum, real-time and maximum power of the ith electrochemical energy storage and charging in the t period;
15 State of charge constraints for the energy storage power station are expressed as: SOC of 0.ltoreq.SOC i,t ≤SOC i,max
In SOC i,max 、SOC i,t Respectively storing the maximum energy storage charge quantity of the ith station and the energy storage charge quantity of the t period;
16 Wind power output constraint is expressed as:
Figure BDA00040483661000000813
in the method, in the process of the invention,
Figure BDA00040483661000000814
maximum power generation output of the wind power in the t period;
17 Photovoltaic output constraint is expressed as:
Figure BDA0004048366100000091
in the method, in the process of the invention,
Figure BDA0004048366100000092
maximum power generation output of the photovoltaic at the t period;
18 Hydroelectric generating set output constraint is expressed as:
Figure BDA0004048366100000093
in the method, in the process of the invention,
Figure BDA0004048366100000094
respectively the minimum output, the output in the period t and the maximum output of the hydroelectric generating set i;
19 Reservoir capacity constraints are expressed as: h h,min Embroidering H h (t)H h,max
Wherein H is h,min 、H h (t)、H h,max The method comprises the steps of setting the minimum reservoir capacity, the t-period reservoir capacity and the maximum reservoir capacity of the reservoir;
20 A power balance constraint is expressed as:
Figure BDA0004048366100000095
in the method, in the process of the invention,
Figure BDA0004048366100000096
P t PV 、P t wind 、/>
Figure BDA0004048366100000097
generating power of the pump storage unit, the coal-fired unit, the fuel oil unit, the gas unit, the nuclear power unit, the photo-thermal unit, the energy storage power station, the photovoltaic power station, the wind power station and the hydroelectric unit in the period t respectively; n (N) cx 、N coal 、N oil 、N gas 、N nuclear 、N csp 、N bat 、N hydro The number of the water pump energy storage units, the coal-fired units, the fuel oil units, the gas units, the nuclear power units, the photo-thermal units, the energy storage batteries and the hydroelectric units are respectively; p (P) t load 、/>
Figure BDA0004048366100000098
The power is respectively the load power in the t period, the charging power of the energy storage power station and the pumping power of the pumping and storage unit.
The invention further improves that in the solving module, the steps for solving the optimal scheduling operation model of the pumped storage power station and obtaining the optimal scheduling operation mode concretely comprise:
and calling a math optimization tool package CPLEX solver to solve the optimization scheduling operation model of the pumped storage power station to obtain an optimal operation mode.
The invention provides an electronic device, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the pumped storage power plant optimized scheduled operation method according to any one of the present invention.
The invention provides a computer readable storage medium, which stores a computer program, wherein the computer program realizes the optimal scheduling operation method of any one of the pumped storage power stations when being executed by a processor.
Compared with the prior art, the invention has the following beneficial effects:
for the optimal scheduling operation of the pumped storage power station, which takes economy as an optimization target at present, the invention particularly provides a method for optimizing the scheduling operation of the pumped storage power station, which reduces the carbon emission, in order to solve the technical problem that the carbon discharge is not taken as a main optimization target in the existing optimal scheduling operation method; the method establishes an objective function based on the minimum carbon emission, can improve the new energy consumption level, fully utilizes the energy storage function of pumped storage, can promote the clean and efficient operation of the power system, and reduces the carbon emission of regional power grids.
According to the invention, the solver is called to solve the objective function, the solving result is reasonable and correct, the calculating speed is high, and the method has good engineering practical value.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description of the embodiments or the drawings used in the description of the prior art will make a brief description; it will be apparent to those of ordinary skill in the art that the drawings in the following description are of some embodiments of the invention and that other drawings may be derived from them without undue effort.
FIG. 1 is a schematic flow chart of a method for optimizing and scheduling operation of a pumped storage power station provided by an embodiment of the invention;
FIG. 2 is a schematic flow chart of another method for optimizing and scheduling operation of a pumped-storage power station according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an optimized dispatch operation system for a pumped storage power station provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of the operating output of a set of 24 hours without pumping according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the operating output of a set of 24 hours with pumping reservoir according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of the operating output of a non-pumping storage 168-hour set according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of the operating output of a set of 168 hours with pumping reservoir according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the attached drawing figures:
referring to fig. 1, the method for optimizing and scheduling operation of a pumped storage power station provided by the embodiment of the invention specifically includes the following steps:
step 1, acquiring an optimal scheduling operation model of a pumped storage power station based on a multi-energy power generation system to be optimally scheduled;
step 2, solving the optimal scheduling operation model of the pumped storage power station to obtain an optimal scheduling operation mode;
wherein the expression of the objective function of the optimal scheduling operation model of the pumped storage power station is as follows,
Figure BDA0004048366100000111
wherein f is carbon emission, T is total time length of scheduling period, P t coal The output power of the coal-fired generator set in the t period is C coal Carbon emission coefficient, P, of full life cycle of coal-fired power generation t wind C is the output power of the wind generating set in the period t wind Carbon emission coefficient, P of full life cycle of wind power generation t pv C is the output power of the photovoltaic power generation in the period t pv The carbon emission coefficient, P, of the full life cycle of the photovoltaic power generation t hydro The output power of the hydroelectric generating set in the t period is C hydro Is the carbon emission coefficient, P of the full life cycle of hydroelectric generation t cx For pumping energy storage t period of output power, C cx For the pumped storage full life cycle carbon emission coefficient, Δt is 1 hour.
The embodiment of the invention particularly provides an optimal scheduling operation method of a pumped storage power station for reducing carbon emission, which establishes an objective function based on the minimum carbon emission, fully utilizes the energy storage function of pumped storage and can reduce the carbon emission of regional power grids.
Referring to fig. 2, the method for optimizing and scheduling operation of a pumped storage power station provided by the embodiment of the invention includes the following steps:
step 1, inputting regional power grid data;
by way of specific example, regional power grid data may include power grid load data, forecast data for wind and solar power generation, coal-fired unit power generation data, hydroelectric unit power generation data, and pumped-storage unit data.
Step 2, obtaining various unit output and annual carbon emission factors of the regional power system, and setting an objective function according to the objective with minimum carbon emission;
the objective function of the regional power system is as follows:
Figure BDA0004048366100000121
wherein f is carbon emission, T is total time length of scheduling period, P t coal The output power of the coal-fired generator set in the t period is C coal Carbon emission coefficient, P, of full life cycle of coal-fired power generation t wind C is the output power of the wind generating set in the period t wind Carbon emission coefficient, P of full life cycle of wind power generation t pv C is the output power of the photovoltaic power generation in the period t pv The carbon emission coefficient, P, of the full life cycle of the photovoltaic power generation t hydro The output power of the hydroelectric generating set in the t period is C hydro Is the carbon emission coefficient, P of the full life cycle of hydroelectric generation t cx For pumping energy storage t period of output power, C cx For the pumped storage full life cycle carbon emission coefficient, Δt is 1 hour.
Step 3, constructing an optimal scheduling operation model of the pumped storage power station according to the objective function and the constraint condition;
step 4, calling a math optimization tool package CPLEX solver to solve the optimized scheduling model to obtain an optimal operation result;
and 5, drawing a unit operation diagram under different time periods.
In step 3 of the embodiment of the present invention, the equilibrium equation and constraint conditions of the system include:
1) Pumped storage reservoir capacity constraint:
Figure BDA0004048366100000131
in the method, in the process of the invention,
Figure BDA0004048366100000132
the minimum storage capacity, the t-period storage capacity and the maximum storage capacity of the pumping and storing station are respectively; q (Q) h,in (t)、Q h,out (t) is the warehouse-in flow and the warehouse-out flow of the pumping and accumulating power station in the period t; η (eta) c,cx 、η d,cx Pumping water and generating efficiency of the pumped storage power station respectively.
2) Pumping power constraint of pumping energy storage power station:
Figure BDA0004048366100000133
in the method, in the process of the invention,
Figure BDA0004048366100000134
the minimum pumping power, the period of time t pumping power and the maximum pumping power of the ith unit in the pumping process of the pumped storage power station are respectively.
3) Power generation constraint of pumped storage power station:
Figure BDA0004048366100000135
in the method, in the process of the invention,
Figure BDA0004048366100000136
the minimum power generation power, the t-period power generation power and the maximum power generation power of the ith unit in the power generation process of the pumped storage power station are respectively.
4) Operation condition constraint of the pumped storage unit:
Figure BDA0004048366100000137
in the method, in the process of the invention,
Figure BDA0004048366100000138
pumping water for the pumped storage power station; />
Figure BDA0004048366100000139
The power generation state of the pumped storage power station is achieved.
5) Climbing constraint of a pumped storage unit:
Figure BDA00040483661000001310
in the method, in the process of the invention,
Figure BDA00040483661000001311
the maximum downhill and uphill capacities of the ith unit of the pumped storage power station are respectively.
6) Output constraint of the coal-fired unit:
Figure BDA00040483661000001312
in the method, in the process of the invention,
Figure BDA00040483661000001313
the output lower limit, the output in the period of t and the output upper limit of the coal-fired unit i are adopted.
7) Climbing constraint of coal-fired units:
Figure BDA00040483661000001314
in the method, in the process of the invention,
Figure BDA00040483661000001315
the output of the coal-fired unit i is output in a t period; />
Figure BDA00040483661000001316
The ascending and descending speed of the ith coal-fired unit.
8) Wind power output constraint:
Figure BDA00040483661000001317
in the method, in the process of the invention,
Figure BDA0004048366100000141
and the maximum power generation output of the wind power is t time periods.
9) Photovoltaic output constraint:
Figure BDA0004048366100000142
in the method, in the process of the invention,
Figure BDA0004048366100000143
and the maximum power generation output of the photovoltaic is t time periods.
10 Force constraint of hydroelectric generating set):
Figure BDA0004048366100000144
in the method, in the process of the invention,
Figure BDA0004048366100000145
the minimum output, the output in the period t and the maximum output of the hydroelectric generating set i are respectively.
11 Reservoir capacity constraint): h h,min Embroidering H h (t)H h,max
Wherein H is h,min 、H h (t)、H h,max The method is characterized by comprising the steps of minimum reservoir capacity of a reservoir, reservoir capacity of the reservoir in t time periods and maximum reservoir capacity of the reservoir.
12 Power balance constraint):
Figure BDA0004048366100000146
in the method, in the process of the invention,
Figure BDA0004048366100000147
P t PV 、P t wind 、/>
Figure BDA00040483661000001411
respectively t time periodsGenerating power of the pumping and accumulating unit, the coal-fired unit, the photovoltaic power station, the wind power plant and the hydroelectric unit; n (N) cx 、N coal 、N hydro The number of the pumping and accumulating units, the coal-fired units and the hydroelectric units is respectively; p (P) t load 、/>
Figure BDA0004048366100000149
The power is respectively the load power in the t period, the charging power of the storage battery and the pumping power of the pumping power storage station.
Specific examples of the load data and the predicted data of wind power generation and photovoltaic power generation in the embodiment of the invention are shown in table 1, and the data is 24-hour data.
TABLE 1 load data and forecast data for wind and photovoltaic Power Generation
Figure BDA00040483661000001410
Figure BDA0004048366100000151
In the embodiment of the invention, the lower output limit of the coal-fired unit is 50MW, the upper output limit is 300MW, the ascending and descending rates of the coal-fired unit are 5%/min of rated capacity, the maximum power generation output of wind power is obtained, the maximum power generation output of photovoltaic is obtained, the predicted output in the period is obtained, the minimum output of the hydroelectric unit is 0MW, the maximum output is 50MW, and the minimum reservoir capacity of a hydroelectric power generation reservoir is 1.4x10 8 m 3 Maximum stock capacity is 2.74×10 8 m 3 The minimum storage capacity of the pumping power storage station is 7.17 multiplied by 10 6 m 3 Maximum storage capacity of 2.94×10 7 m 3 The minimum water pumping and generating power of the water pumping and storing power station unit are all 0MW, the maximum water pumping and generating data of the water pumping and storing power station are all 180MW, and the water pumping and generating efficiency of the water pumping and storing power station is respectively 80% and 90%.
Analyzing the influence of the pumped storage power station on the carbon emission in the system optimization scheduling process, and respectively considering the following two conditions: scheme 1 is that no pumping and accumulating unit participates in scheduling; scheme 2 is that the pumping and accumulating unit participates in scheduling.
TABLE 2 regional power system carbon emissions
Figure BDA0004048366100000152
Based on the analysis of table 2, it was found that: the carbon emission of the regional power system is effectively reduced due to the addition of the pumping and accumulating unit;
the running output pairs of each unit of the regional power system obtained by solving the two schemes are shown in fig. 4 to 7; wherein figures 4 and 5 are graphs of the unit operation at 24 hours and figures 6 and 7 are graphs of the unit operation at 168 hours.
As can be seen from fig. 4 to 7, the pump storage unit is able to automatically adjust the operating conditions as a function of system load fluctuations. Pumping water when the load demand is lower, generating power when the load demand is higher, and achieving the effect of reducing peak-valley difference of the system and realizing peak clipping and valley filling of the power grid load.
In summary, in the embodiment of the invention, a unit model is established according to the current situation of the power grid; an objective function is built based on minimum carbon emission, so that the new energy consumption level is improved, the energy storage function of pumped storage is fully utilized, the clean and efficient operation of the electric power system is promoted, and the carbon emission of regional power grids is reduced; and a solver is called for solving, so that the solving result is reasonable and correct, the calculating speed is high, and the practical engineering value is good.
The following are device embodiments of the present invention that may be used to perform method embodiments of the present invention. For details of the device embodiment that are not careless, please refer to the method embodiment of the present invention.
Referring to fig. 3, in still another embodiment of the present invention, there is provided an optimization scheduling operation system for a pumped-storage power station, including:
the model acquisition module is used for acquiring an optimal scheduling operation model of the pumped storage power station based on the multi-energy power generation system to be optimally scheduled;
the solving module is used for solving the optimal scheduling operation model of the pumped storage power station to obtain an optimal scheduling operation mode;
wherein the expression of the objective function of the optimal scheduling operation model of the pumped storage power station is as follows,
Figure BDA0004048366100000161
wherein f is carbon emission, T is total time length of scheduling period, P t coal The output power of the coal-fired generator set in the t period is C coal Carbon emission coefficient, P, of full life cycle of coal-fired power generation t wind C is the output power of the wind generating set in the period t wind Carbon emission coefficient, P of full life cycle of wind power generation t pv C is the output power of the photovoltaic power generation in the period t pv The carbon emission coefficient, P, of the full life cycle of the photovoltaic power generation t hydro The output power of the hydroelectric generating set in the t period is C hydro Is the carbon emission coefficient, P of the full life cycle of hydroelectric generation t cx For pumping energy storage t period of output power, C cx For the pumped storage full life cycle carbon emission coefficient, Δt is 1 hour.
In yet another embodiment of the present invention, a computer device is provided that includes a processor and a memory for storing a computer program including program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, in particular to load and execute one or more instructions within a computer storage medium to implement a corresponding method flow or a corresponding function; the processor provided by the embodiment of the invention can be used for operating the optimal scheduling operation method of the pumped storage power station.
In yet another embodiment of the present invention, a storage medium, specifically a computer readable storage medium (Memory), is a Memory device in a computer device, for storing a program and data. It is understood that the computer readable storage medium herein may include both built-in storage media in a computer device and extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the method for optimally scheduling operation of a pumped-storage power station in the above embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims (8)

1. The optimal scheduling operation method of the pumped storage power station is characterized by comprising the following steps of:
acquiring an optimal scheduling operation model of the pumped storage power station based on a multi-energy power generation system to be optimally scheduled;
solving the optimal scheduling operation model of the pumped storage power station to obtain an optimal scheduling operation mode;
wherein the expression of the objective function of the optimal scheduling operation model of the pumped storage power station is as follows,
Figure FDA0004048366090000011
wherein f is regional power grid power supply carbon emission; t is the total time length of the scheduling period; p (P) t coal The output power of the coal-fired generator set in the t period; c (C) coal Carbon emission coefficient of the full life cycle of coal-fired power generation; p (P) t oil The output power of the fuel generator set in the t period is; c (C) oil Carbon emission coefficient of the full life cycle of fuel oil power generation; p (P) t gas The output power of the gas generator set in the t period; c (C) gas Carbon emission coefficient of the whole life cycle of the gas power generation; p (P) t unclear The output power of the nuclear power unit in the period t; c (C) unclear Is the carbon emission coefficient of the nuclear power full life cycle; p (P) t csp The output power of the photo-thermal unit in the t period; c (C) csp Carbon emission coefficient of the full life cycle of photo-thermal power generation; p (P) t bat Output power of the energy storage battery in a t period; c (C) bat Carbon emission coefficient of the whole life cycle of the energy storage battery; p (P) t wind The output power of the wind generating set in the period t is the output power of the wind generating set in the period t; c (C) wind Carbon emission coefficient of the full life cycle of wind power generation; p (P) t pv Output power of the photovoltaic power generation t period; c (C) pv The carbon emission coefficient is the full life cycle of photovoltaic power generation; p (P) t hydro The output power of the hydroelectric generating set in the t period; c (C) hydro The carbon emission coefficient is the full life cycle of hydroelectric generation; p (P) t cx The output power of the pump is stored for the period t; c (C) cx Carbon emission coefficient of the whole life cycle of pumped storage; Δt is 1 hour or 15 minutes.
2. The pumped storage power station optimal scheduling operation method according to claim 1, wherein the constraint condition of the pumped storage power station optimal scheduling operation model comprises:
1) The pumped storage power station reservoir capacity constraint is expressed as:
Figure FDA0004048366090000012
in the method, in the process of the invention,
Figure FDA0004048366090000013
respectively the minimum storage capacity, the t-period storage capacity and the maximum storage capacity of the pumped storage power station; q (Q) h,in (t)、Q h,out (t) the warehouse-in flow and the warehouse-out flow of the pumping and accumulating power station in the period t respectively; η (eta) c,cx 、η d,cx Pumping water and generating efficiency of the pumped storage power station respectively;
2) The pumped power constraint of the pumped storage power station is expressed as:
Figure FDA0004048366090000021
in the method, in the process of the invention,
Figure FDA0004048366090000022
respectively pumping power minimum, pumping power t time period and pumping power maximum of an ith unit in the pumping process of the pumped storage power station;
3) The power generation constraint of the pumped storage power station is expressed as:
Figure FDA0004048366090000023
in the method, in the process of the invention,
Figure FDA0004048366090000024
respectively the minimum power generation power, the t-period power generation power and the maximum power generation power of the ith unit in the power generation process of the pumped storage power station;
4) The operation condition constraint of the pumped storage unit is expressed as:
Figure FDA0004048366090000025
in the method, in the process of the invention,
Figure FDA0004048366090000026
pumping water for the pumped storage power station; />
Figure FDA0004048366090000027
Generating power for the pumped storage power station; />
5) The climbing constraint of the pumped storage unit is expressed as:
Figure FDA0004048366090000028
in the method, in the process of the invention,
Figure FDA0004048366090000029
maximum downhill and uphill capacities of an ith unit of the pumped storage power station respectively;
6) The technical output constraint of the thermal power generating unit is expressed as follows: p (P) imin ≤P i,t ≤P imax
Wherein P is imin 、P i,t 、P imax The lower output limit, the output in the period of t and the upper output limit of the thermal power unit i are set;
7) The climbing constraint of the thermal power generating unit is expressed as follows:
Figure FDA00040483660900000210
wherein P is i,t The output is generated for the t period of the thermal power unit i; ΔP i,up 、ΔP i,down The ascending and descending speeds of the ith thermal power generating unit are respectively;
8) The technical output constraint of the nuclear power unit is expressed as follows:
Figure FDA00040483660900000211
in the method, in the process of the invention,
Figure FDA00040483660900000212
is a nuclear power unit iLower output limit, t period output and upper output limit;
9) The climbing constraint of the nuclear power unit is expressed as:
Figure FDA00040483660900000213
in the method, in the process of the invention,
Figure FDA0004048366090000031
the output is generated for the period t of the nuclear power unit i; />
Figure FDA0004048366090000032
The ascending and descending speed of the ith nuclear power unit;
10 A photo-thermal power plant generator technical output constraint is expressed as:
Figure FDA0004048366090000033
in the method, in the process of the invention,
Figure FDA0004048366090000034
the method comprises the steps of setting the lower output limit, the output in the t period and the upper output limit of an ith unit of the photo-thermal power station;
11 A climbing constraint of the photo-thermal power station unit is expressed as follows:
Figure FDA0004048366090000035
in the method, in the process of the invention,
Figure FDA0004048366090000036
the output is generated for the period t of the photo-thermal unit i; r is R U,i 、R D,i Maximum climbing capacity of an ith generator of the photo-thermal power station;
12 A) the thermal dynamic balance constraint of the thermal collection field of the photo-thermal power station is expressed as:
Figure FDA0004048366090000037
in the method, in the process of the invention,
Figure FDA0004048366090000038
the heat of the ith unit of the photo-thermal power station for generating electricity, the total solar heat absorbed by a heat collection field, the heat of the photo-thermal power station for storing the heat to a heat tank and the heat of the photo-thermal power station for discarding the heat are respectively t time periods;
Figure FDA0004048366090000039
the heat storage efficiency of the hot tank and the power generation efficiency of the ith photo-thermal unit are respectively;
13 A) the thermal dynamic balance constraint of the photo-thermal power station heat storage tank is expressed as:
Figure FDA00040483660900000310
/>
in the method, in the process of the invention,
Figure FDA00040483660900000311
the heat stored in the heat storage tank, the heat transferred from the heat collection field to the heat storage tank and the heat transferred from the heat storage tank to the power generation side in the period t respectively; />
Figure FDA00040483660900000312
Is the heat release efficiency; />
Figure FDA00040483660900000313
The minimum and maximum heat storage quantity of the heat storage tank are respectively;
14 The energy storage power station charge-discharge power constraint is expressed as:
Figure FDA00040483660900000314
in the method, in the process of the invention,
Figure FDA00040483660900000315
respectively the minimum, real-time and maximum power of the ith electrochemical energy storage discharge in the t period;
Figure FDA00040483660900000316
respectively obtaining the minimum, real-time and maximum power of the ith electrochemical energy storage and charging in the t period;
15 State of charge constraints for the energy storage power station are expressed as: SOC of 0.ltoreq.SOC i,t ≤SOC i,max
In SOC i,max 、SOC i,t Respectively storing the maximum energy storage charge quantity of the ith station and the energy storage charge quantity of the t period;
16 Wind power output constraint is expressed as:
Figure FDA0004048366090000041
in the method, in the process of the invention,
Figure FDA0004048366090000042
maximum power generation output of the wind power in the t period;
17 Photovoltaic output constraint is expressed as:
Figure FDA0004048366090000043
in the method, in the process of the invention,
Figure FDA0004048366090000044
maximum power generation output of the photovoltaic at the t period;
18 Hydroelectric generating set output constraint is expressed as:
Figure FDA0004048366090000045
in the method, in the process of the invention,
Figure FDA0004048366090000046
respectively the minimum output, the output in the period t and the maximum output of the hydroelectric generating set i;
19 Reservoir capacity constraints are expressed as: h h,min Embroidering H h (t)H h,max
Wherein H is h,min 、H h (t)、H h,max The method comprises the steps of setting the minimum reservoir capacity, the t-period reservoir capacity and the maximum reservoir capacity of the reservoir;
20 A power balance constraint is expressed as:
Figure FDA0004048366090000047
in the method, in the process of the invention,
Figure FDA0004048366090000048
P t PV 、P t wind 、/>
Figure FDA00040483660900000411
generating power of the pump storage unit, the coal-fired unit, the fuel oil unit, the gas unit, the nuclear power unit, the photo-thermal unit, the energy storage power station, the photovoltaic power station, the wind power station and the hydroelectric unit in the period t respectively; n (N) cx 、N coal 、N oil 、N gas 、N nuclear 、N csp 、N bat 、N hydro The number of the water pump energy storage units, the coal-fired units, the fuel oil units, the gas units, the nuclear power units, the photo-thermal units, the energy storage batteries and the hydroelectric units are respectively; p (P) t load
Figure FDA00040483660900000410
The power is respectively the load power in the t period, the charging power of the energy storage power station and the pumping power of the pumping and storage unit.
3. The optimal scheduling operation method for a pumped storage power station according to claim 1, wherein the step of solving the optimal scheduling operation model for the pumped storage power station to obtain an optimal scheduling operation mode specifically comprises:
and calling a math optimization tool package CPLEX solver to solve the optimization scheduling operation model of the pumped storage power station to obtain an optimal operation mode.
4. An optimization scheduling operation system of a pumped storage power station, which is characterized by comprising the following components:
the model acquisition module is used for acquiring an optimal scheduling operation model of the pumped storage power station based on the multi-energy power generation system to be optimally scheduled;
the solving module is used for solving the optimal scheduling operation model of the pumped storage power station to obtain an optimal scheduling operation mode;
wherein the expression of the objective function of the optimal scheduling operation model of the pumped storage power station is as follows,
Figure FDA0004048366090000051
wherein f is regional power grid power supply carbon emission; t is the total time length of the scheduling period; p (P) t coal The output power of the coal-fired generator set in the t period; c (C) coal Carbon emission coefficient of the full life cycle of coal-fired power generation; p (P) t oil The output power of the fuel generator set in the t period is; c (C) oil Carbon emission coefficient of the full life cycle of fuel oil power generation; p (P) t gas The output power of the gas generator set in the t period; c (C) gas Carbon emission coefficient of the whole life cycle of the gas power generation; p (P) t unclear The output power of the nuclear power unit in the period t; c (C) unclear Is the carbon emission coefficient of the nuclear power full life cycle; p (P) t csp The output power of the photo-thermal unit in the t period; c (C) csp Carbon emission coefficient of the full life cycle of photo-thermal power generation; p (P) t bat Output power of the energy storage battery in a t period; c (C) bat Carbon emission coefficient of the whole life cycle of the energy storage battery; p (P) t wind The output power of the wind generating set in the period t is the output power of the wind generating set in the period t; c (C) wind Carbon emission coefficient of the full life cycle of wind power generation; p (P) t pv Output power of the photovoltaic power generation t period; c (C) pv The carbon emission coefficient is the full life cycle of photovoltaic power generation; p (P) t hydro The output power of the hydroelectric generating set in the t period; c (C) hydro The carbon emission coefficient is the full life cycle of hydroelectric generation; p (P) t cx The output power of the pump is stored for the period t; c (C) cx Carbon emission coefficient of the whole life cycle of pumped storage; Δt is 1 hour or 15 minutes.
5. The pumped-storage power station optimal scheduling operation system according to claim 4, wherein the constraint condition of the pumped-storage power station optimal scheduling operation model comprises:
1) The pumped storage power station reservoir capacity constraint is expressed as:
Figure FDA0004048366090000052
in the method, in the process of the invention,
Figure FDA0004048366090000053
respectively the minimum storage capacity, the t-period storage capacity and the maximum storage capacity of the pumped storage power station; q (Q) h,in (t)、Q h,out (t) the warehouse-in flow and the warehouse-out flow of the pumping and accumulating power station in the period t respectively; η (eta) c,cx 、η d,cx Pumping water and generating efficiency of the pumped storage power station respectively;
2) The pumped power constraint of the pumped storage power station is expressed as:
Figure FDA0004048366090000061
in the method, in the process of the invention,
Figure FDA0004048366090000062
respectively pumping power minimum, pumping power t time period and pumping power maximum of an ith unit in the pumping process of the pumped storage power station;
3) The power generation constraint of the pumped storage power station is expressed as:
Figure FDA0004048366090000063
in the method, in the process of the invention,
Figure FDA0004048366090000064
respectively the minimum power generation power, the t-period power generation power and the maximum power generation power of the ith unit in the power generation process of the pumped storage power station;
4) The operation condition constraint of the pumped storage unit is expressed as:
Figure FDA0004048366090000065
in the method, in the process of the invention,
Figure FDA0004048366090000066
pumping water for the pumped storage power station; />
Figure FDA0004048366090000067
Generating power for the pumped storage power station; />
5) The climbing constraint of the pumped storage unit is expressed as:
Figure FDA0004048366090000068
in the method, in the process of the invention,
Figure FDA0004048366090000069
maximum downhill and uphill capacities of an ith unit of the pumped storage power station respectively;
6) The technical output constraint of the thermal power generating unit is expressed as follows: p (P) imin ≤P i,t ≤P imax
Wherein P is imin 、P i,t 、P imax The lower output limit, the output in the period of t and the upper output limit of the thermal power unit i are set;
7) The climbing constraint of the thermal power generating unit is expressed as follows:
Figure FDA00040483660900000610
wherein P is i,t The output is generated for the t period of the thermal power unit i; ΔP i,up 、ΔP i,down The ascending and descending speeds of the ith thermal power generating unit are respectively;
8) The technical output constraint of the nuclear power unit is expressed as follows:
Figure FDA00040483660900000611
in the method, in the process of the invention,
Figure FDA00040483660900000612
the output lower limit, the output in the period of t and the output upper limit of the nuclear power unit i are set;
9) The climbing constraint of the nuclear power unit is expressed as:
Figure FDA00040483660900000613
in the method, in the process of the invention,
Figure FDA00040483660900000614
the output is generated for the period t of the nuclear power unit i; />
Figure FDA00040483660900000615
The ascending and descending speed of the ith nuclear power unit;
10 A photo-thermal power plant generator technical output constraint is expressed as:
Figure FDA0004048366090000071
in the method, in the process of the invention,
Figure FDA0004048366090000072
the method comprises the steps of setting the lower output limit, the output in the t period and the upper output limit of an ith unit of the photo-thermal power station;
11 A climbing constraint of the photo-thermal power station unit is expressed as follows:
Figure FDA0004048366090000073
in the method, in the process of the invention,
Figure FDA0004048366090000074
the output is generated for the period t of the photo-thermal unit i; r is R U,i 、R D,i Maximum climbing capacity of an ith generator of the photo-thermal power station;
12 A) the thermal dynamic balance constraint of the thermal collection field of the photo-thermal power station is expressed as:
Figure FDA0004048366090000075
in the method, in the process of the invention,
Figure FDA0004048366090000076
the heat of the ith unit of the photo-thermal power station for generating electricity, the total solar heat absorbed by a heat collection field, the heat of the photo-thermal power station for storing the heat to a heat tank and the heat of the photo-thermal power station for discarding the heat are respectively t time periods;
Figure FDA0004048366090000077
the heat storage efficiency of the hot tank and the power generation efficiency of the ith photo-thermal unit are respectively;
13 A) the thermal dynamic balance constraint of the photo-thermal power station heat storage tank is expressed as:
Figure FDA0004048366090000078
/>
in the method, in the process of the invention,
Figure FDA0004048366090000079
the heat stored in the heat storage tank, the heat transferred from the heat collection field to the heat storage tank and the heat transferred from the heat storage tank to the power generation side in the period t respectively; />
Figure FDA00040483660900000710
Is the heat release efficiency; />
Figure FDA00040483660900000711
The minimum and maximum heat storage quantity of the heat storage tank are respectively;
14 The energy storage power station charge-discharge power constraint is expressed as:
Figure FDA00040483660900000712
in the method, in the process of the invention,
Figure FDA00040483660900000713
respectively the minimum, real-time and maximum power of the ith electrochemical energy storage discharge in the t period;
Figure FDA00040483660900000714
respectively obtaining the minimum, real-time and maximum power of the ith electrochemical energy storage and charging in the t period;
15 State of charge constraints for the energy storage power station are expressed as: SOC of 0.ltoreq.SOC i,t ≤SOC i,max
In SOC i,max 、SOC i,t Respectively storing the maximum energy storage charge quantity of the ith station and the energy storage charge quantity of the t period;
16 Wind power output constraint is expressed as:
Figure FDA0004048366090000081
in the method, in the process of the invention,
Figure FDA0004048366090000082
maximum power generation output of the wind power in the t period;
17 Photovoltaic output constraint is expressed as:
Figure FDA0004048366090000083
in the method, in the process of the invention,
Figure FDA0004048366090000084
maximum power generation output of the photovoltaic at the t period;
18 Hydroelectric generating set output constraint is expressed as:
Figure FDA0004048366090000085
in the method, in the process of the invention,
Figure FDA0004048366090000086
respectively the minimum output, the output in the period t and the maximum output of the hydroelectric generating set i;
19 Reservoir capacity constraints are expressed as: h h,min Embroidering H h (t)H h,max
Wherein H is h,min 、H h (t)、H h,max The method comprises the steps of setting the minimum reservoir capacity, the t-period reservoir capacity and the maximum reservoir capacity of the reservoir;
20 A power balance constraint is expressed as:
Figure FDA0004048366090000087
in the method, in the process of the invention,
Figure FDA0004048366090000088
generating power of the pump storage unit, the coal-fired unit, the fuel oil unit, the gas unit, the nuclear power unit, the photo-thermal unit, the energy storage power station, the photovoltaic power station, the wind power station and the hydroelectric unit in the period t respectively; n (N) cx 、N coal 、N oil 、N gas 、N nuclear 、N csp 、N bat 、N hydro The number of the water pump energy storage units, the coal-fired units, the fuel oil units, the gas units, the nuclear power units, the photo-thermal units, the energy storage batteries and the hydroelectric units are respectively; p (P) t load 、/>
Figure FDA0004048366090000089
Figure FDA00040483660900000810
The power is respectively the load power in the t period, the charging power of the energy storage power station and the pumping power of the pumping and storage unit.
6. The optimal scheduling operation system for a pumped storage power station according to claim 4, wherein the solving module solves the optimal scheduling operation model for the pumped storage power station, and the step of obtaining an optimal scheduling operation mode specifically comprises:
and calling a math optimization tool package CPLEX solver to solve the optimization scheduling operation model of the pumped storage power station to obtain an optimal operation mode.
7. An electronic device, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the pumped storage power plant optimized scheduled operation method of any one of claims 1 to 3.
8. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the pumped-storage power station optimized scheduled operation method of any one of claims 1 to 3.
CN202310035045.1A 2023-01-10 2023-01-10 Optimization scheduling operation method, system, equipment and medium for pumped storage power station Pending CN116054212A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116231767A (en) * 2023-05-11 2023-06-06 南方电网调峰调频发电有限公司储能科研院 Multi-energy complementary scheduling method and system for cascade hydropower station

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116231767A (en) * 2023-05-11 2023-06-06 南方电网调峰调频发电有限公司储能科研院 Multi-energy complementary scheduling method and system for cascade hydropower station

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