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,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
pumping water for the pumped storage power station; />
Generating power for the pumped storage power station;
5) The climbing constraint of the pumped storage unit is expressed as:
in the method, in the process of the invention,
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:
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
the output is generated for the period t of the nuclear power unit i; />
The ascending and descending speed of the ith nuclear power unit;
10 A photo-thermal power plant generator technical output constraint is expressed as:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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;
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:
in the method, in the process of the invention,
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; />
Is the heat release efficiency; />
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:
in the method, in the process of the invention,
respectively the minimum, real-time and maximum power of the ith electrochemical energy storage discharge in the t period; />
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:
/>
in the method, in the process of the invention,
maximum power generation output of the wind power in the t period;
17 Photovoltaic output constraint is expressed as:
in the method, in the process of the invention,
maximum power generation output of the photovoltaic at the t period;
18 Hydroelectric generating set output constraint is expressed as:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
P
t PV 、P
t wind 、/>
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 、/>
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,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
pumping water for the pumped storage power station; />
Generating power for the pumped storage power station;
5) The climbing constraint of the pumped storage unit is expressed as:
in the method, in the process of the invention,
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:
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:
/>
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
the output is generated for the period t of the nuclear power unit i; />
The ascending and descending speed of the ith nuclear power unit;
10 A photo-thermal power plant generator technical output constraint is expressed as:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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;
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:
in the method, in the process of the invention,
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; />
Is the heat release efficiency; />
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:
in the method, in the process of the invention,
respectively the minimum, real-time and maximum power of the ith electrochemical energy storage discharge in the t period; />
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:
in the method, in the process of the invention,
maximum power generation output of the wind power in the t period;
17 Photovoltaic output constraint is expressed as:
in the method, in the process of the invention,
maximum power generation output of the photovoltaic at the t period;
18 Hydroelectric generating set output constraint is expressed as:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
P
t PV 、P
t wind 、/>
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 、/>
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.
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,
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:
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
pumping water for the pumped storage power station; />
The power generation state of the pumped storage power station is achieved.
5) Climbing constraint of a pumped storage unit:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
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:
in the method, in the process of the invention,
the output of the coal-fired unit i is output in a t period; />
The ascending and descending speed of the ith coal-fired unit.
8) Wind power output constraint:
in the method, in the process of the invention,
and the maximum power generation output of the wind power is t time periods.
9) Photovoltaic output constraint:
in the method, in the process of the invention,
and the maximum power generation output of the photovoltaic is t time periods.
10 Force constraint of hydroelectric generating set):
in the method, in the process of the invention,
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):
in the method, in the process of the invention,
P
t PV 、P
t wind 、/>
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 、/>
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
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
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,
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.