CN116417997A - Large-scale new energy power grid system adjustment power generation curve smoothing method considering standby problem - Google Patents
Large-scale new energy power grid system adjustment power generation curve smoothing method considering standby problem Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H—ELECTRICITY
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Abstract
The invention discloses a large-scale new energy power grid system adjustment power generation curve smoothing method considering standby problems, which specifically comprises the following steps: acquiring output prediction data of various power plants from a power generation side; solving a demand side adjustable load adjustment potential model to obtain adjustment spaces of all adjustable loads; calculating the actual positive and negative standby values of a large-scale new energy power grid under the condition of high new energy permeability; establishing a smooth optimization model of a large-scale new energy power grid system adjustment power generation curve considering the standby problem: the method comprises the steps of determining an optimization objective function of a smooth optimization model of a system adjustment power generation curve of a large-scale new energy power grid by taking the smoothest system adjustment equivalent load curve, the smallest peak-valley difference of the system adjustment equivalent load curve and the lowest total cost of the load side resources involved in adjustment as targets, and setting constraint conditions; and calculating a unified equivalent load smooth optimization result of the large-scale new energy power grid based on the established optimization model. The invention realizes the organic unification of the power generation side and the demand side, and reduces the running cost of the power grid system.
Description
Technical Field
The invention relates to the technical field of power system power generation scheduling, in particular to a method for smoothing a power generation curve of a large-scale new energy power grid system power generation scheduling in consideration of standby problems.
Background
The improvement of new energy consumption capability of the power system to promote clean substitution of fossil energy becomes a key for realizing green low-carbon transformation in the power generation industry. The fluctuation type new energy sources such as wind, light and the like are seriously influenced by the environment, the randomness is remarkable, a large amount of access causes great negative influence on the safe and stable operation of the power grid, and the phenomena of overlarge peak-valley difference, midday valley, reserve shortage and the like of the power grid are easily caused, so that the power generator set needs frequent adjustment to solve the power grid problem caused by large-scale grid connection of the new energy sources.
At present, the existing power grid system dispatching power generation curve smoothing methods at home and abroad mainly comprise a model prediction control-based method, an artificial intelligence-based method, a marketization mechanism-based method, a multi-objective optimization-based method and a cooperative control-based method, and smooth dispatching is realized by dispatching the output of a conventional generator set. However, the trend of the energy structure in the future power grid is that the grid-connected scale of the new energy is gradually increased and the duty ratio of the conventional generator set is reduced, so that the existing unified power generation method cannot meet the requirement of the new energy in the future on smoothness of the unified power generation curve of the novel power grid under large-scale grid connection.
Disclosure of Invention
The invention aims to provide a large-scale new energy power grid system power regulating and generating curve smoothing method which can be realized by means of load side resources under the conditions of minimum cost and no additional standby problem.
The technical solution for realizing the purpose of the invention is as follows: a large-scale new energy power grid system power regulation generation curve smoothing method considering standby problems comprises the following steps:
step 1, acquiring output prediction data of each type of power plant from a power generation side;
step 2, solving a demand side adjustable load adjustment potential model to obtain an adjustment space of each adjustable load;
step 3, calculating the actual positive and negative standby values of the large-scale new energy power grid under the condition of high new energy permeability;
and 5, calculating a smooth optimization result of the uniform-tuning equivalent load of the large-scale new energy power grid based on the smooth optimization model of the large-scale new energy power grid uniform-tuning power generation curve established in the step 4.
Compared with the prior art, the invention has the remarkable advantages that:
(1) Based on the consideration of the trend of the decrease of the duty ratio of the traditional generating set in the future, the invention adopts the adjustable load resource at the demand side to carry out smooth scheduling of the unified power generation curve, and is not limited to the generating set resource at the power generation side, thereby realizing the unification of the power generation side and the demand side;
(2) The invention adds the standby constraint of the power generation side in the process of smoothing the unified power generation curve, thereby ensuring that a new standby problem is not generated while solving the standby problem of the power grid per se;
(3) The peak clipping and valley filling scheduling of the uniform value load curve is added in the smooth scheduling process of the uniform power generation curve, so that the uniform value load curve is smoother, the peak-valley difference is smaller, and the power grid scheduling of the conventional unit in the climbing stage and the peak-valley period is facilitated.
Drawings
FIG. 1 is a flow chart of a method for smoothing a power generation curve of a large-scale new energy power grid in consideration of standby problems.
FIG. 2 is a graph of the comparison of the full-time period tuning equivalent load curve before and after tuning.
FIG. 3 is a graph of a comparison of the load curves before and after adjustment of the afternoon trough period.
Fig. 4 is a graph of the total amount of adjustment at each time of the load side resource.
Fig. 5 is a graph showing the total amount of temperature-controlled load adjustment at each time.
Fig. 6 is a diagram of the adjustment amounts at each time of the electric bus charging station 1.
Fig. 7 is a diagram showing the total amount of adjustment at each time of the electric bus charging station 2.
Fig. 8 is a diagram showing the total amount of adjustment at each time of the electric bus charging station 3.
Fig. 9 is a graph showing the total amount of adjustment of the industrial load 1 at each time.
Fig. 10 is a graph showing the total amount of adjustment of the industrial load 2 at each time.
Fig. 11 is a graph showing the total amount of adjustment of the industrial load 3 at each time.
Fig. 12 is a graph of the total amount of adjustment of the energy storage system 1 at each time.
Fig. 13 is a graph of the total amount of adjustment of the energy storage system 2 at each moment.
Fig. 14 is a graph showing the total amount of adjustment of the energy storage system 3 at each time.
Detailed Description
According to the method for smoothing the power generation curve of the large-scale new energy power grid system adjustment taking the standby problem into consideration, the load with the equal adjustment value is adjusted from the load side, and on the premise that part of the original standby problem is solved and the new standby problem is not generated, the peak-valley difference of the load is reduced, so that the power generation curve is smoother, and the adjusting frequency and the adjusting difficulty of the generator set are reduced.
The invention relates to a large-scale new energy power grid system power regulation generation curve smoothing method considering standby problems, which comprises the following steps:
step 1, acquiring output prediction data of each type of power plant from a power generation side;
step 2, solving a demand side adjustable load adjustment potential model to obtain an adjustment space of each adjustable load;
step 3, calculating the actual positive and negative standby values of the large-scale new energy power grid under the condition of high new energy permeability;
and 5, calculating a smooth optimization result of the uniform-tuning equivalent load of the large-scale new energy power grid based on the smooth optimization model of the large-scale new energy power grid uniform-tuning power generation curve established in the step 4.
As a specific example, output prediction data of each type of power plant is obtained from the power generation side in step 1, wherein:
the power plant output prediction data obtained from the power generation side comprises coal-fired power generation output prediction data, gas-fired power generation output prediction data, hydroelectric power generation output prediction data, wind power generation output prediction data, photovoltaic power generation output prediction data, nuclear power output prediction data and external electric output prediction data, and besides the output prediction data, coal-fired power generation starting capacity data, gas-fired power generation starting capacity data and hydroelectric power generation starting capacity data are also required to be obtained.
As a specific example, the demand side described in step 2 is specifically as follows:
dividing a demand side in a power grid system into non-adjustable loads and adjustable loads; the non-adjustable load comprises a first type of load, a second type of load and a resident electricity load, and is a part of the power grid which is required to meet the requirements; the adjustable load comprises an air conditioning load, an electric bus and a part of industrial loads, wherein the loads which can change power and do not influence the normal order of society are parts of a power grid which can be scheduled.
As a specific example, the actual positive and negative standby values of the large-scale new energy grid under the high new energy permeability are calculated in the step 3, which is specifically as follows:
wherein ,
、/>
an actual positive standby value, an actual negative standby value, < >, respectively at time t>
、/>
The upper limit and the lower limit of the power generation and regulation of the general power supply are respectively regulated at the time t, and the power generation and regulation of the general power supply are respectively regulated at the time t>
、/>
The maximum positive deviation and the maximum negative deviation of the unified equivalent load at the moment t are respectively calculated according to the following formula:
wherein ,
、/>
、/>
starting capacities of the coal motor unit, the fuel motor unit and the hydroelectric unit respectively; />
Generating power of nuclear power unit at t momentA rate; />
The external electric power value at the time t; />
、/>
The minimum technical output proportionality coefficient of the coal motor unit and the fuel motor unit respectively; />
、/>
、/>
The load prediction error, the wind power output prediction error and the photovoltaic output prediction error are respectively; />
、/>
Wind power predicted output and photovoltaic predicted output, < ->
And the load value is the unified load value at the time t.
As a specific example, the optimization objective function of the smoothing optimization model of the large-scale new energy power grid system adjustment power generation curve is determined in step 4 by taking the smoothest adjustment equivalent load curve, the smallest peak-valley difference of the adjustment equivalent load curve and the lowest total cost of the load side resources involved in adjustment as targets, and is specifically as follows:
first objective function
The aim of (2) is to minimize the sum of squares of the second derivatives of the post-adjustment equal-value load curve, for ensuring the curve is the smoothest:
wherein ,
for the second derivative of the adjusted equal-value load curve, the equal-value load curve is composed of a series of discrete points, so that the second derivative is realized in a differential mode; />
For the adjusted equivalent load value at the time t, the solving formula is shown as follows:
wherein ,
for t moment before adjusting equal load value,/->
For the load adjustment amount at the time t, the calculation formula is as follows:
wherein ,
for the adjustment of the temperature-controlled load at time t, < >>
For time t->
The control of the load of the individual electric buses, +.>
For time t->
Adjustment of individual industrial loads, +.>
For time t->
The adjustment amount of the individual energy storage systems; />
For the number of electric bus charging stations, +.>
For the number of industrial loads involved in regulation, +.>
To the number of energy storage systems involved in the regulation;
wherein ,
for the pre-regulation initial power load value at time t, < >>
For the predicted value of the distributed wind power generation at time t, < >>
The predicted value of the distributed photovoltaic power generation amount at the moment t;
(2) Peak-to-valley difference of uniform equal value load curve is minimum
Second objective function
The method is used for solving the problem that the peak-valley difference of the uniform equivalent load caused by high permeability of new energy is too large:
wherein ,
、/>
respectively the maximum value and the minimum value of the adjusted equal-value load curve;
(3) Total cost of load side resource adjustment is minimal
Third objective function
The aim of (2) is to minimize the economic costs required to achieve the same optimization result:
wherein ,
、/>
、/>
、/>
the temperature control load, the electric bus load, the industrial load and the energy storage system are respectively the adjustment cost coefficients.
As a specific example, the constraints of the model described in step 4 include:
temperature-controlled load constraints, electric bus constraints, industrial load constraints, energy storage system constraints, and standby constraints.
As a specific example, the constraint of the step 4 model is specifically as follows:
(1) Temperature controlled load constraint
wherein ,
、/>
the lower regulation potential upper limit value and the upper regulation potential upper limit value of the temperature control load at the time t are respectively;
(2) Electric bus restraint
wherein ,
、/>
respectively +.>
The method comprises the steps that an electric bus charging station obtains a lower adjustment potential upper limit value and an upper adjustment potential upper limit value of the charging station at a moment t based on historical data; />
Is->
The method comprises the steps that a bus charging total load value of a power station at a time t is obtained by a charging station based on historical data; />
Is->
Total charging potential number of the charging stations; />
Is->
Fast charging power of buses in the charging stations;
(3) Industrial load constraints
wherein ,
、/>
respectively +.>
Down-regulation potential of individual industrial loads at time tUpper limit, up-regulation potential upper limit; />
Is->
The i-th adjusted load adjustment amount of the individual industrial load; />
Is->
A combination of adjustment time zones for each adjustment of the individual industrial loads; />
、/>
The starting time and the ending time of the ith adjustment of the industrial load are respectively; />
The total adjustment times of the industrial load; />
Maximum number of adjustments for industrial load in a day; />
For the shortest duration of the industrial load; t is the time of day and takes a value of 96;
(4) Energy storage system constraints
wherein ,
、/>
respectively +.>
Maximum discharge power and maximum charge power of the energy storage systems;
is->
Initial charge and discharge power values of the energy storage systems at the time t; />
、/>
Respectively the first
The energy storage system is used for adjusting the residual electric quantity before and after the adjustment at the moment t; />
Is->
Charging and discharging efficiencies of the energy storage systems; />
Is->
Maximum total capacity of the individual energy storage systems; />
、/>
Is->
Minimum charge coefficient and maximum charge coefficient of the energy storage system; />
Is->
The lowest residual electric quantity value of each energy storage system at the time t is used for ensuring the normal operation of the energy storage system;
(5) Standby constraint
wherein ,
、/>
respectively minimum negative standby and minimum positive standby; />
、/>
An actual positive standby and an actual negative standby at time t respectively,/->
The total adjustment amount at time t.
The invention provides a method for smoothing a power generation curve of a large-scale new energy power grid system, which considers the standby problem, and simultaneously considers the adjustable load scheduling on the demand side and the standby problem on the power generation side, so that the uniformity of the power generation side and the demand side can be realized, and the power grid scheduling of a conventional unit in a climbing stage and a peak-valley period is facilitated by scheduling the adjustable resources on the load side, and simultaneously, the power grid self standby problem is solved, and meanwhile, the power grid system is smoother in the equivalent load curve of the system, smaller in peak-valley difference and smaller in peak-valley difference.
The invention will now be described in further detail with reference to the drawings and examples.
Examples
Referring to fig. 1, the method for smoothing a power generation curve of a large-scale new energy power grid taking standby into consideration in this embodiment includes the following steps:
step 1, obtaining output prediction data of each type of power plant from a power generation side, wherein the output prediction data are specifically as follows: the power plant output prediction data obtained from the power generation side comprises coal-fired power generation output prediction data, gas-fired power generation output prediction data, hydroelectric power generation output prediction data, wind power generation output prediction data, photovoltaic power generation output prediction data, nuclear power output prediction data and external electric output prediction data, and besides the output prediction data, coal-fired power generation starting capacity data, gas-fired power generation starting capacity data and hydroelectric power generation starting capacity data are also required to be obtained.
Step 2, solving a demand side adjustable load adjustment potential model to obtain an adjustment space of each adjustable load, wherein the adjustment space is specifically as follows:
dividing a demand side in a power grid system into non-adjustable loads and adjustable loads; the non-adjustable load comprises a first type of load, a second type of load, resident electricity and other loads, and is a part of the power grid which is required to meet the requirements; the adjustable load is a load which comprises an air conditioning load, an electric bus, a part of industrial loads and the like, can change power and does not influence the normal order of society, and is a part of a power grid which can be scheduled.
Step 3, calculating actual positive and negative standby values of a large-scale new energy power grid under high new energy permeability, wherein the actual positive and negative standby values are as follows:
wherein ,
、/>
an actual positive standby value, an actual negative standby value, < >, respectively at time t>
、/>
The upper limit and the lower limit of the power generation and regulation of the general power supply are respectively regulated at the time t, and the power generation and regulation of the general power supply are respectively regulated at the time t>
、/>
The maximum positive deviation and the maximum negative deviation of the unified equivalent load at the moment t are respectively calculated according to the following formula:
wherein ,
、/>
、/>
starting capacities of the coal motor unit, the fuel motor unit and the hydroelectric unit respectively; />
The power generation power of the nuclear power unit at the time t; />
The external electric power value at the time t; />
、/>
The minimum technical output proportionality coefficient of the coal motor unit and the fuel motor unit respectively; />
、/>
、/>
The load prediction error, the wind power output prediction error and the photovoltaic output prediction error are respectively; />
、/>
Wind power predicted output and photovoltaic predicted output, < ->
And the load value is the unified load value at the time t.
temperature-controlled load constraints, electric bus constraints, industrial load constraints, energy storage system constraints, and standby constraints.
In the step 5, with the objective of the smoothest uniform equivalent load, the minimum peak-valley difference of the uniform equivalent load and the minimum total cost of the load side resources involved in the adjustment, an optimization objective function of a smooth optimization model of a large-scale new energy power grid uniform power generation curve considering the standby problem is established, specifically as follows:
(1) The uniform equivalent load curve is the smoothest
First objective function
The aim of (2) is to minimize the sum of squares of the second derivatives of the post-adjustment equal-value load curve, for ensuring the curve is the smoothest:
wherein ,
for the second derivative of the adjusted equal-value load curve, the equal-value load curve is composed of a series of discrete points, so that the second derivative is realized in a differential mode; />
For the adjusted equivalent load value at the time t, the solving formula is shown as follows:
wherein ,
for t moment before adjusting equal load value,/->
For the load adjustment amount at the time t, the calculation formula is as follows:
wherein ,
for the adjustment of the temperature-controlled load at time t, < >>
For time t->
The control of the load of the individual electric buses, +.>
For time t->
Adjustment of individual industrial loads, +.>
For time t->
The adjustment amount of the individual energy storage systems; />
For the number of electric bus charging stations, +.>
For the number of industrial loads involved in regulation, +.>
To the number of energy storage systems involved in the regulation;
wherein ,
For the pre-regulation initial power load value at time t, < >>
For the predicted value of the distributed wind power generation at time t, < >>
The predicted value of the distributed photovoltaic power generation amount at the moment t;
(2) Peak-to-valley difference of uniform equal value load curve is minimum
Second objective function
The method is used for solving the problem that the peak-valley difference of the uniform equivalent load caused by high permeability of new energy is too large:
wherein ,
、/>
respectively the maximum value and the minimum value of the adjusted equal-value load curve;
(3) Total cost of load side resource adjustment is minimal
Third objective function
The aim of (2) is to minimize the economic costs required to achieve the same optimization result:
wherein ,
、/>
、/>
、/>
the temperature control load, the electric bus load, the industrial load and the energy storage system are respectively the adjustment cost coefficients.
Further, the constraint condition of the model in step 4 includes:
temperature-controlled load constraints, electric bus constraints, industrial load constraints, energy storage system constraints, and standby constraints.
Further, the constraint conditions of the step 4 model are as follows:
(1) Temperature controlled load constraint
wherein ,
、/>
the lower regulation potential upper limit value and the upper regulation potential upper limit value of the temperature control load at the time t are respectively;
(2) Electric bus restraint
wherein ,
、/>
respectively +.>
The method comprises the steps that an electric bus charging station obtains a lower adjustment potential upper limit value and an upper adjustment potential upper limit value of the charging station at a moment t based on historical data; />
Is->
The method comprises the steps that a bus charging total load value of a power station at a time t is obtained by a charging station based on historical data; />
Is->
Total charging potential number of the charging stations; />
Is->
Fast charging power of buses in the charging stations;
(3) Industrial load constraints
wherein ,
、/>
respectively +.>
A lower regulation potential upper limit value and an upper regulation potential upper limit value of the individual industrial loads at the time t; />
Is->
The i-th adjusted load adjustment amount of the individual industrial load; />
Is->
A combination of adjustment time zones for each adjustment of the individual industrial loads; />
、/>
The starting time and the ending time of the ith adjustment of the industrial load are respectively; />
The total adjustment times of the industrial load; />
Maximum number of adjustments for industrial load in a day; />
For the shortest duration of the industrial load; t is the time of day and takes a value of 96;
(4) Energy storage system constraints
wherein ,
、/>
respectively +.>
Maximum discharge power and maximum charge power of the energy storage systems;
is->
Initial charge and discharge power values of the energy storage systems at the time t; />
、/>
Respectively the first
The energy storage system is used for adjusting the residual electric quantity before and after the adjustment at the moment t; />
Is->
Charging and discharging efficiencies of the energy storage systems; />
Is->
Maximum total capacity of the individual energy storage systems; />
、/>
Is->
Minimum charge coefficient and maximum charge coefficient of the energy storage system; />
Is->
The lowest residual electric quantity value of each energy storage system at the time t is used for ensuring the normal operation of the energy storage system;
(5) Standby constraint
wherein ,
、/>
respectively minimum negative standby and minimum positive standby; />
、/>
An actual positive standby and an actual negative standby at time t respectively,/->
The total adjustment amount at time t.
According to the embodiment, load data of a certain area are adopted for simulation, the load data of 24 hours a day of the certain area are selected, the temperature control load is a local commercial building air conditioning load, and three different local loads are selected as examples for an electric bus charging station, an industrial load and an energy storage system cluster.
Fig. 2 and 3 are comparative diagrams of the load curve adjustment before and after the full period and the afternoon valley period, fig. 4 is a total amount of adjustment of each time of the load side resource, fig. 5 is a total amount of adjustment of each time of the temperature control load, fig. 6, 7 and 8 are total amount of adjustment of each time of the electric bus charging stations 1, 2 and 3, fig. 9, 10 and 11 are total amount of adjustment of each time of the industrial loads 1, 2 and 3, and fig. 12, 13 and 14 are total amount of adjustment of each time of the energy storage systems 1, 2 and 3.
According to the method, the resources at each load side are scheduled according to the solving result of the smooth optimizing model of the large-scale new energy power grid system dispatching power generation curve considering the standby problem, and the negative influence of the large-scale new energy grid connection on the dispatching of the generator set can be effectively reduced.
It will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations may be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A large-scale new energy power grid system power regulation generation curve smoothing method considering standby problems is characterized by comprising the following steps:
step 1, acquiring output prediction data of each type of power plant from a power generation side;
step 2, solving a demand side adjustable load adjustment potential model to obtain an adjustment space of each adjustable load;
step 3, calculating the actual positive and negative standby values of the large-scale new energy power grid under the condition of high new energy permeability;
step 4, establishing a smooth optimization model of the large-scale new energy power grid system tuning power generation curve considering the standby problem: the method comprises the steps of determining an optimization objective function of a smooth optimization model of a system adjustment power generation curve of a large-scale new energy power grid by taking the smoothest system adjustment equivalent load curve, the smallest peak-valley difference of the system adjustment equivalent load curve and the lowest total cost of the load side resources involved in adjustment as targets, and setting constraint conditions of the model;
and 5, calculating a smooth optimization result of the uniform-tuning equivalent load of the large-scale new energy power grid based on the smooth optimization model of the large-scale new energy power grid uniform-tuning power generation curve established in the step 4.
2. The method for smoothing a power generation curve of a large-scale new energy power grid system taking standby problems into consideration as set forth in claim 1, wherein in step 1, output prediction data of each type of power plant is obtained from a power generation side, wherein:
the power plant output prediction data obtained from the power generation side comprises coal-fired power generation output prediction data, gas-fired power generation output prediction data, hydroelectric power generation output prediction data, wind power generation output prediction data, photovoltaic power generation output prediction data, nuclear power output prediction data and external electric output prediction data, and besides the output prediction data, coal-fired power generation starting capacity data, gas-fired power generation starting capacity data and hydroelectric power generation starting capacity data are also required to be obtained.
3. The method for smoothing the power generation curve of the large-scale new energy power grid system taking standby problems into consideration according to claim 1, wherein the demand side in the step 2 is specifically as follows:
dividing a demand side in a power grid system into non-adjustable loads and adjustable loads; the non-adjustable load comprises a first type of load, a second type of load and a resident electricity load, and is a part of the power grid which is required to meet the requirements; the adjustable load comprises an air conditioning load, an electric bus and a part of industrial loads, wherein the loads which can change power and do not influence the normal order of society are parts of a power grid which can be scheduled.
4. The method for smoothing the power generation curve of the large-scale new energy power grid system taking the standby problem into consideration according to claim 1, 2 or 3, wherein the calculating of the actual positive and negative standby values of the large-scale new energy power grid under the high new energy permeability in the step 3 is specifically as follows:
wherein ,
、/>
an actual positive standby value, an actual negative standby value, < >, respectively at time t>
、/>
The upper limit and the lower limit of the power generation and regulation of the general power supply are respectively regulated at the time t, and the power generation and regulation of the general power supply are respectively regulated at the time t>
、/>
The maximum positive deviation and the maximum negative deviation of the unified equivalent load at the moment t are respectively calculated according to the following formula:
wherein ,
、/>
、/>
starting capacities of the coal motor unit, the fuel motor unit and the hydroelectric unit respectively; />
The power generation power of the nuclear power unit at the time t; />
The external electric power value at the time t; />
、/>
Respectively coal motorsMinimum technical output proportionality coefficient of the group and the combustion motor group; />
、/>
、/>
The load prediction error, the wind power output prediction error and the photovoltaic output prediction error are respectively; />
、/>
Wind power predicted output and photovoltaic predicted output, < ->
And the load value is the unified load value at the time t.
5. The method for smoothing the power generation curve of the large-scale new energy power grid with consideration of the standby problem according to claim 4, wherein in the step 4, the optimization objective function of the smoothing optimization model of the power generation curve of the large-scale new energy power grid is determined by taking the objective that the peak-valley difference of the power load curve of the power grid is the smoothest, the total cost of the power source is the lowest, and the power source is involved in the adjustment, specifically as follows:
(1) The uniform equivalent load curve is the smoothest
First objective function
The aim of (2) is to minimize the sum of squares of the second derivatives of the post-adjustment equal-value load curve, for ensuring the curve is the smoothest:
wherein ,
for the second derivative of the adjusted equal-value load curve, the equal-value load curve is composed of a series of discrete points, so that the second derivative is realized in a differential mode; />
For the adjusted equivalent load value at the time t, the solving formula is shown as follows:
wherein ,
for t moment before adjusting equal load value,/->
For the load adjustment amount at the time t, the calculation formula is as follows:
wherein ,
for the adjustment of the temperature-controlled load at time t, < >>
For time t->
The control of the load of the individual electric buses, +.>
At time tFirst->
Adjustment of individual industrial loads, +.>
For time t->
The adjustment amount of the individual energy storage systems; />
For the number of electric bus charging stations, +.>
For the number of industrial loads involved in regulation, +.>
To the number of energy storage systems involved in the regulation;
wherein ,
for the pre-regulation initial power load value at time t, < >>
For the predicted value of the distributed wind power generation at time t, < >>
The predicted value of the distributed photovoltaic power generation amount at the moment t;
(2) Peak-to-valley difference of uniform equal value load curve is minimum
Second objective function
The method is used for solving the problem that the peak-valley difference of the uniform equivalent load caused by high permeability of new energy is too large:
wherein ,
、/>
respectively the maximum value and the minimum value of the adjusted equal-value load curve;
(3) Total cost of load side resource adjustment is minimal
Third objective function
The aim of (2) is to minimize the economic costs required to achieve the same optimization result:
wherein ,
、/>
、/>
、/>
respectively is temperature-controlled load and electricityAnd the adjustment cost coefficients of the dynamic bus load, the industrial load and the energy storage system.
6. The method for smoothing a power generation curve of a large-scale new energy power grid system with consideration of standby problems according to claim 5, wherein the constraint condition of the model in step 4 comprises:
temperature-controlled load constraints, electric bus constraints, industrial load constraints, energy storage system constraints, and standby constraints.
7. The method for smoothing the power generation curve of the large-scale new energy power grid system taking standby problems into consideration as set forth in claim 6, wherein the constraint conditions of the model in step 4 are as follows:
(1) Temperature controlled load constraint
wherein ,
、/>
the lower regulation potential upper limit value and the upper regulation potential upper limit value of the temperature control load at the time t are respectively;
(2) Electric bus restraint
wherein ,
、/>
respectively +.>
The method comprises the steps that an electric bus charging station obtains a lower adjustment potential upper limit value and an upper adjustment potential upper limit value of the charging station at a moment t based on historical data; />
Is->
The method comprises the steps that a bus charging total load value of a power station at a time t is obtained by a charging station based on historical data; />
Is->
Total charging potential number of the charging stations; />
Is->
Fast charging power of buses in the charging stations;
(3) Industrial load constraints
wherein ,
、/>
respectively +.>
A lower regulation potential upper limit value and an upper regulation potential upper limit value of the individual industrial loads at the time t; />
Is->
The i-th adjusted load adjustment amount of the individual industrial load; />
Is->
A combination of adjustment time zones for each adjustment of the individual industrial loads; />
、/>
The starting time and the ending time of the ith adjustment of the industrial load are respectively; />
The total adjustment times of the industrial load; />
Maximum number of adjustments for industrial load in a day; />
For the shortest duration of the industrial load; t is the time of day and takes a value of 96;
(4) Energy storage system constraints
wherein ,
、/>
respectively +.>
Maximum discharge power and maximum charge power of the energy storage systems; />
Is->
Initial charge and discharge power values of the energy storage systems at the time t; />
、/>
Respectively +.>
The energy storage system is used for adjusting the residual electric quantity before and after the adjustment at the moment t; />
Is->
Charging and discharging efficiencies of the energy storage systems; />
Is->
Maximum total capacity of the individual energy storage systems; />
、/>
Is->
Minimum charge coefficient and maximum charge coefficient of the energy storage system; />
Is->
The lowest residual electric quantity value of each energy storage system at the time t is used for ensuring the normal operation of the energy storage system;
(5) Standby constraint
wherein ,
、/>
respectively minimum negative standby and minimum positive standby; />
、/>
An actual positive standby and an actual negative standby at time t respectively,/->
The total adjustment amount at time t.
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| CN115833260A (en) * | 2022-12-13 | 2023-03-21 | 国网江苏省电力有限公司营销服务中心 | Method and system for constructing adjustable load resource pool of comprehensive energy park |
| CN116205421A (en) * | 2022-09-19 | 2023-06-02 | 南京理工大学 | Electric power system economic dispatching method considering demand side and carbon emission |
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| CN116205421A (en) * | 2022-09-19 | 2023-06-02 | 南京理工大学 | Electric power system economic dispatching method considering demand side and carbon emission |
| CN115833260A (en) * | 2022-12-13 | 2023-03-21 | 国网江苏省电力有限公司营销服务中心 | Method and system for constructing adjustable load resource pool of comprehensive energy park |
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