CN110611337B - Power supply reliability-based power system energy and standby combined scheduling method - Google Patents

Power supply reliability-based power system energy and standby combined scheduling method Download PDF

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CN110611337B
CN110611337B CN201910943082.6A CN201910943082A CN110611337B CN 110611337 B CN110611337 B CN 110611337B CN 201910943082 A CN201910943082 A CN 201910943082A CN 110611337 B CN110611337 B CN 110611337B
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黄海煜
夏少连
王春明
赖宏毅
熊华强
江保锋
程燕军
黄子平
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Abstract

The invention relates to a power system energy and standby combined scheduling method based on power supply reliability, and belongs to the technical field of power system scheduling. The scheduling method of the invention takes the minimum sum of the energy cost, the standby cost and the risk loss cost of the power system as a target, takes the expectation of insufficient power as a reliability index for constraint, and optimizes the obtained operation mode of the power system; the method determines the system standby capacity according to the real-time load level and the startup combination of the power system, effectively relieves the system standby pressure, fully utilizes the power generation resources, saves the running standby cost of the system, and improves the running economy of the power system. The method can be used for the combined economic dispatching of the energy and the reserve of the large power grid, can obviously improve the reliability of the system operation with smaller cost increment, and has important practical significance and good application prospect.

Description

Power supply reliability-based power system energy and standby combined scheduling method
Technical Field
The invention relates to a power system energy and standby combined scheduling method based on power supply reliability, and belongs to the technical field of power system scheduling.
Background
The reserve capacity of the power system is the reserve capacity beyond the guaranteed system load, and is the extra active capacity required by meeting load prediction errors, unexpected shutdown of equipment, new energy source prediction deviation and the like, so that the system is guaranteed to be in a new stable operation state in a smooth transition mode when being disturbed in a certain range. In the conventional reserve capacity reservation method, in order to ensure safe and reliable operation of the system, extreme conditions such as large fluctuation of load or unexpected shutdown of equipment are generally considered, a constant reserve capacity is reserved, and the capacity is determined according to a fixed proportion of the maximum power generation load or the maximum equipment capacity of the system. With the deepening of the electric power marketization degree and the development of the standby market, the economy of system operation is more and more emphasized, the economic cost is mainly considered in the configuration of the standby capacity, the standby requirement is precisely determined by combining the electric energy market trading result and the power grid operation state, and the generated output and the standby output of the unit are jointly optimized by taking the minimum total system operation cost as a target.
In recent years, the construction of ultra-high voltage transmission lines continuously expands the scale of a power grid, continuously strengthens the coupling of the power grid among regions, increasingly highlights the integrated situation of a large power grid, and improves the capabilities of unified optimization scheduling of the whole power grid and realization of optimization configuration of resources in a wider range. Meanwhile, the operation characteristics of the power grid are also changed profoundly, the transmission and receiving ends of the extra-high voltage power grid and the alternating current and direct current are strongly coupled, and the overall safety and stability of the power grid are affected by local faults caused by unit shutdown. In addition, with the expansion of the power supply scale of the power grid, the number of large networked market users is increased, the real-time demand of the load is more sensitive to the electricity price, and the electricity utilization behavior has great uncertainty. In order to ensure the safe and stable operation of the system and improve the power supply reliability of a large power grid, the reserve capacity needs to be increased to cope with the power supply shortage caused by load fluctuation and equipment failure.
The influence of uncertain factors such as load fluctuation, unit faults and the like is comprehensively considered, a reasonable system spare capacity configuration method is formulated, the safe and stable operation of the system is guaranteed, the economical efficiency is considered, and the method is a key concern in the dispatching operation of the current power system. Some research achievements have been achieved at home and abroad by a method for determining reserve capacity based on uncertain factors and operation cost, but the following problems still exist in consideration of the requirements of safe and economic operation of a power system: under the traditional operation standby management mode only considering reliability, the reserved standby capacity has low utilization efficiency, so that the power generation resource is seriously wasted, and the system has to bear higher standby cost and electric energy opportunity cost, so that the economy is poorer; the method for determining the reserve capacity through the combined optimization of the electric energy and the reserve capacity has higher accuracy and smaller reserve capacity, and once load deviation or equipment failure which is more serious than expected occurs, greater power failure loss is caused and certain risk cost needs to be borne; quantitative evaluation on the risk or reliability of system operation is not considered, and the reliability and economy in the power grid operation process are balanced by lack of uniform economy indexes.
Disclosure of Invention
The invention aims to provide a power system energy and standby combined scheduling method based on power supply reliability, which comprehensively considers factors such as load prediction deviation, a power grid real-time operation mode, system reliability indexes and the like, minimizes the system operation total cost and risk loss cost, and determines the energy and standby capacity of a power system from the two aspects of reliability and economy.
The invention provides a power system energy and standby combined scheduling method based on power supply reliability, which comprises the following steps:
(1) Predicting the load value of the power system in 24 hours on the current scheduling day, which comprises the following specific steps:
(1-1) recording the current scheduling date as D, acquiring the actual load value of the power system 60 days before the current scheduling date from the power system scheduling center, and calculating the load increase rate of the power system of each historical scheduling date D at the scheduling time t compared with the last time t-1
Figure BDA0002223460050000021
Figure BDA0002223460050000022
Wherein: d represents a historical scheduling day, D = D-60, …, D-1,t represents a scheduling time, t =1,2, …,24,
Figure BDA0002223460050000023
the actual load value of the system at the dispatching time t on the historical dispatching day d;
(1-2) scheduling according to each historical scheduling day 60 days before the current scheduling day of the step (1-1)Scaled power system load growth rate
Figure BDA0002223460050000024
Calculating the average value of the system load increase rate of the power system at the scheduling time t compared with the last scheduling time t-1
Figure BDA0002223460050000025
Figure BDA0002223460050000026
(1-3) acquiring the actual load value of the 24 th scheduling time of the day (D-1) before the current scheduling date from the power system scheduling center
Figure BDA0002223460050000027
To be provided with
Figure BDA0002223460050000028
As the reference load, the average load increase rate at each scheduling time obtained in the step (1-2) is used
Figure BDA0002223460050000029
Sequentially calculating the predicted value of the load of the power system at the scheduling time t on the current scheduling day D
Figure BDA00022234600500000210
Figure BDA00022234600500000211
(2) Determining the reserve capacity requirement of the power system on the current scheduling day, wherein the specific process is as follows:
(2-1) determining a load reserve capacity demand of the power system on the current scheduling day, comprising the steps of:
(2-1-1) obtaining the predicted value of the system load at the scheduling time t 60 days before the current scheduling date from the power system scheduling center
Figure BDA00022234600500000212
And the actual value
Figure BDA00022234600500000213
Calculating the system load prediction deviation of the historical scheduling day d at the scheduling time t
Figure BDA00022234600500000214
Figure BDA0002223460050000031
(2-1-2) forecasting deviation of load of the power system at dispatching time t according to the historical dispatching day d obtained in the step (2-1-1)
Figure BDA0002223460050000032
Calculating the maximum load prediction deviation of the power system at the scheduling time t on the current scheduling day
Figure BDA0002223460050000033
Figure BDA0002223460050000034
(2-1-3) calculating the maximum load prediction deviation of the power system at the scheduling time t on the current scheduling day according to the step (2-1-2)
Figure BDA0002223460050000035
And (1) calculating the system load predicted value of the current scheduling day D at the scheduling time t
Figure BDA0002223460050000036
Determining the load reserve capacity requirement of the current dispatching day D power system at the dispatching time t
Figure BDA0002223460050000037
Figure BDA0002223460050000038
(2-2) determining the emergency reserve capacity demand of the power system on the current scheduling day, comprising the steps of:
(2-2-1) setting the active power of a generator set i planned to be started in the power system on the current dispatching day at the dispatching time t
Figure BDA0002223460050000039
And the load demand of the power system at the scheduling time t is met:
Figure BDA00022234600500000310
in the formula: i represents the generator sets planned to be started up in the power system, n is the number of the generator sets planned to be started up and is obtained from a power system dispatching center,
Figure BDA00022234600500000311
obtained according to the step (1-3);
active power G of each generator set at each scheduling time i,t The active power vector G of all the generator sets at each scheduling moment is obtained according to the scheduling time sequence;
(2-2-2) according to the active power G of all the generator sets on the current scheduling day given in the step (2-2-1) i,t Calculating the maximum power generation shortage of the power system possibly caused by the fault outage of the single generator set at the scheduling time t, and taking the maximum power generation shortage of the power system as the accident reserve capacity requirement of the power system at the scheduling time t on the current scheduling day
Figure BDA00022234600500000312
Figure BDA00022234600500000313
(2-3) load reserve capacity requirement calculated according to the step (2-1-3)To find
Figure BDA00022234600500000314
Calculating the accident reserve capacity requirement calculated in the step (2-2-2)
Figure BDA00022234600500000315
Obtaining the reserve capacity R of the power system at the dispatching time t on the current dispatching day t
Figure BDA00022234600500000316
(3) Calculating the expected power shortage as a reliability index of the power system, wherein the calculation steps are as follows:
(3-1) by S i Representing the working state of the generator set i, setting two states of failure and operation of each generator set, wherein the failure of the generator sets is an independent event, and S i Is a discrete random variable:
Figure BDA0002223460050000041
obtaining fault rates lambda of all generator sets from power system dispatching center i And a repair rate parameter μ i Calculating the probability u of failure and outage of the generator set i i And probability of normal operation a i
Figure BDA0002223460050000042
Figure BDA0002223460050000043
(3-2) calculating the system power supply shortage caused by the failure outage of the generator set as the expected power shortage of the power system at the scheduling time t:
Figure BDA0002223460050000044
wherein:
x t represents the state of the power system at the scheduled time t, x t =(S 1 ,S 2 …,S n ),S i Is a random variable, x t Is a random vector, X represents the state space of the power system at the scheduling time t,
I f (x t ) The state function of the power system at the scheduling time t is shown as the following expression:
Figure BDA0002223460050000045
L C (x t ) Indicating that the power system is in fault system state x t Then, the minimum load reduction value required for restoring the power system to a static safe operation point is determined according to a single fault safety criterion specified in the power system that at most 1 generator set fails, and if the generator set i fails at this time, the following steps are performed:
L C (x t )=G i,t
in the formula: g i,t The active power of the generator set i given in the step (2-2-1) at the scheduling time t;
P(x t ) Is x t Of a probability distribution function, P (x) t ) Representing power system state x t I.e. considering that the states of all generator sets are random variables independent of each other, only when a generator set i fails down:
Figure BDA0002223460050000046
in the formula: symbol Π denotes the multiplication by multiplication, P (S) i ) Indicating that genset i is in state S i Probability of (u) i 、a i The probability of failure outage and the probability of normal operation of the generator set i calculated in the step (3-1) respectivelyRate;
(4) A power system energy and standby combined scheduling model based on power supply reliability is constructed as follows:
(4-1) an objective function of the power system energy and backup joint scheduling model based on supply reliability expects an EW to be minimized for the total cost of power system operation:
Figure BDA0002223460050000051
in the formula: g i,t The active power of the generator set i at the scheduling time t is obtained; r i,t The reserve capacity of the generator set i at the scheduling time t is a decision variable of the joint scheduling model; EWG t The expectation of the total cost of normal operation of all the generator sets of the power system at the scheduling time t, the quantity to be solved, the EWL t The expected risk loss cost of the power system at the scheduling time t is the amount to be solved;
total cost expectation EWG for normal operation of all units of power system at scheduling time t t The calculation formula of (2) is as follows:
Figure BDA0002223460050000052
in the formula: n is the number of generator sets planned to be started and is obtained from a power system dispatching center; WG (WG) t The total cost of normal operation of all the generator sets of the power system at the scheduling time t, the waiting quantity a i For the probability of normal operation, alpha, of the generator set i calculated in step (3-1) i 、β i Respectively acquiring the energy price and the standby price of the generator set i from the trading center of the power system;
risk loss cost expectation EWL of power system at scheduling time t t The calculation formula is as follows:
Figure BDA0002223460050000053
in the formula: gamma ray VOLL For the unit power failure loss of the power system, u is obtained from a power system dispatching center i Is the probability that the generator set i is in the fault outage state at the scheduling time t, a j Is the probability that the generator set j is in the normal operation state, u i And a j Calculated in the step (3-1);
(4-2) constraints of the power system energy and standby joint scheduling model based on the power supply reliability include:
(4-2-1) power system circuit active power flow constraint:
|z k,t |≤z k,max
in the formula: z is a radical of k,max The method comprises the steps that the transmission capacity limit of a power transmission line in a power system is obtained from a power system dispatching center; z is a radical of formula k,t The method is characterized in that the method is a method for determining the power flow of a power transmission line k at a scheduling time t in a power system:
Figure BDA0002223460050000054
wherein, g i,k Acquiring a power transmission distribution factor of the generator set i to the power transmission line k from a power system dispatching center; g i,t The active power of the generator set i at the scheduling time t, the amount to be solved, g i,k Acquiring a power transmission distribution factor of the node load j to the power transmission line k from a power system dispatching center; PF (particle Filter) j,t And acquiring a load predicted value of the current scheduling day node j at the scheduling time t from the power system scheduling center.
(4-2-2) power system active power supply and demand balance constraint:
Figure BDA0002223460050000061
l is the number of network lines of the power system, obtained from the power system dispatching center, delta k Obtaining the line loss rate of the transmission line k from a power system dispatching center, PF t Obtaining a load predicted value of the power system at the dispatching time t on the current dispatching day through the step (1-3);
(4-2-3) power system reserve capacity constraint:
Figure BDA0002223460050000062
wherein R is t Obtaining the standby requirement of the power system at the dispatching time t through the step (2-3);
(4-2-4) upper and lower limit constraints of the power system generator set output:
Figure BDA0002223460050000063
Figure BDA0002223460050000064
and respectively obtaining the upper limit and the lower limit of the active power of the generator set i from a power system dispatching center.
(4-2-5) the climbing capability of the power system generator set is restrained:
Figure BDA0002223460050000065
wherein,
Figure BDA0002223460050000066
respectively considering the maximum active power of the climbing constraint for the generator set i at the scheduling time t, and acquiring the maximum active power from a power system scheduling center;
(4-2-6) the reliability index constraint of the power system, wherein the expression formula is as follows:
Figure BDA0002223460050000067
in the formula, EDNS t The EDNS is calculated from the step (3-2) for the power system at the dispatching time t to expect the power shortage max The power system dispatching center is used for safely meeting the expected upper limit of power shortage of the power system all day after the dispatching daySetting an operation requirement;
(5) Solving a power system energy and standby combined scheduling model which is composed of the objective function and the constraint condition and is based on power supply reliability by using a Lagrange relaxation method, and solving to obtain the optimal active power G of each generator set in the current scheduling day i,t And spare capacity R i,t
(6) Obtaining an active power optimization result G of all generator sets of the power system at the scheduling time t according to the step (5) i,t And spare capacity optimization result R i,t Constructing an active power vector G' according to a scheduling time sequence;
(7) Setting a convergence judgment parameter epsilon, comparing the active power vector G 'with the active power vector G in the step (2-2-1), if G' -G | is less than epsilon, calculating convergence, and comparing the active power G of each generator set in the step (6) i,t And reserve capacity R i,t As a result of joint scheduling of the energy and the reserve of the power system, joint scheduling of the energy and the reserve of the power system based on power supply reliability is realized; if | G k+1 -G k If | ≦ ε, the result does not converge and let G = G', return to step (2-2-1).
The power system energy and standby combined scheduling method based on the power supply reliability has the following advantages:
1. compared with the traditional constant spare capacity determining method, the scheduling method can effectively relieve the spare pressure of the system, fully utilize power generation resources and save the running spare cost of the system, thereby improving the running economy of the power system.
2. The scheduling method provided by the invention aims at minimizing the sum of the energy cost, the standby cost and the risk loss cost of the power system, restrains the power shortage expectation as a reliability index, optimizes the obtained power system operation mode, can effectively reduce the risk loss cost of the system, and improves the operation reliability of the power system.
3. According to the method, the reliable iteration of the power system energy and reserve combined scheduling model and the reserve capacity demand problem is considered, the reserve capacity and active power distribution of the generator set can be fully coordinated, and therefore the safety and stability of the system can be improved by increasing smaller economic cost.
Drawings
Fig. 1 is a flow chart of a power system energy and standby joint scheduling method based on power supply reliability according to the present invention.
Detailed Description
The power system energy and standby combined scheduling method based on power supply reliability, provided by the invention, has a flow diagram as shown in fig. 1, and comprises the following steps:
(1) Predicting the load value of the power system in 24 hours on the current scheduling day, which comprises the following specific steps:
(1-1) recording the current scheduling date as D, acquiring the actual load value of the power system 60 days (D-60-D-1) before the current scheduling date from the power system scheduling center, and calculating the load increase rate of the power system at the previous time t-1 of the scheduling time t of each historical scheduling date D
Figure BDA0002223460050000071
Figure BDA0002223460050000072
Wherein: d represents a historical scheduling day, D = D-60, …, D-1,t represents a scheduling time, t =1,2, …,24,
Figure BDA0002223460050000081
the actual load value of the system at the scheduling time t on the historical scheduling day d;
(1-2) electric power system load increase rate at each scheduling time according to each historical scheduling day 60 days before the current scheduling day of the step (1-1)
Figure BDA0002223460050000082
Calculating the average value of the system load increase rate of the power system at the dispatching time t compared with the last dispatching time t-1
Figure BDA0002223460050000083
Figure BDA0002223460050000084
(1-3) acquiring the actual load value of the 24 th scheduling time of the day (D-1) before the current scheduling date from the power system scheduling center
Figure BDA0002223460050000085
To be provided with
Figure BDA0002223460050000086
As the reference load, the average load increase rate at each scheduling time obtained in the step (1-2) is used
Figure BDA0002223460050000087
Sequentially calculating the predicted value of the load of the power system at the scheduling time t on the current scheduling day D
Figure BDA0002223460050000088
Figure BDA0002223460050000089
(2) Determining the reserve capacity requirement of the power system on the current scheduling day, wherein the specific process is as follows:
(2-1) determining the load reserve capacity requirement of the power system on the current scheduling day, wherein the load reserve capacity is set as required for balancing instant load fluctuation and load prediction error, and the method comprises the following steps:
(2-1-1) obtaining the predicted value of the system load at the scheduling time t 60 days before the current scheduling date from the power system scheduling center
Figure BDA00022234600500000810
And the actual value
Figure BDA00022234600500000811
Calculating the system load prediction deviation of the historical scheduling day d at the scheduling time t
Figure BDA00022234600500000812
Figure BDA00022234600500000813
(2-1-2) predicting the load deviation of the power system at the scheduling time t according to the historical scheduling day d obtained in the step (2-1-1)
Figure BDA00022234600500000814
Calculating the maximum load prediction deviation of the power system at the current scheduling day scheduling time t
Figure BDA00022234600500000815
Figure BDA00022234600500000816
(2-1-3) calculating the maximum load prediction deviation of the power system at the scheduling time t on the current scheduling day according to the step (2-1-2)
Figure BDA00022234600500000817
And the system load predicted value of the current scheduling day D at the scheduling time t calculated in the step (1-3)
Figure BDA00022234600500000818
Determining the load reserve capacity requirement of the current dispatching day D power system at the dispatching time t
Figure BDA00022234600500000819
Figure BDA00022234600500000820
(2-2) determining the accident reserve capacity requirement of the power system on the current scheduling day, wherein the accident reserve capacity is the power generation capacity required to be set for ensuring normal power supply when power generation and power transmission and transformation equipment in the power system fails, and the method comprises the following steps:
(2-2-1) according to the system load prediction condition of the power system on the current scheduling day, setting the active power G of a generator set i planned to be started in the power system on the current scheduling day at the scheduling time t i,t And the load demand of the power system at the scheduling time t is met:
Figure BDA0002223460050000091
in the formula: i represents the generator sets planned to be started up by the power system, n is the number of the generator sets planned to be started up, and is obtained from a power system dispatching center,
Figure BDA0002223460050000092
obtained according to the step (1-3);
active power G of each generator set at each scheduling time i,t The active power vector G of all the generator sets at each scheduling moment is obtained according to the scheduling time sequence;
(2-2-2) according to the active power G of all the generator sets on the current scheduling day given in the step (2-2-1) i,t Calculating the maximum power generation shortage of the power system possibly caused by the fault outage of the single generator set at the scheduling time t, and taking the maximum power generation shortage of the power system as the accident reserve capacity requirement of the power system at the scheduling time t on the current scheduling day
Figure BDA0002223460050000093
Figure BDA0002223460050000094
(2-3) the reserve capacity must satisfy both the load deviation and the supply capacity requirement for equipment failure, and therefore, the load reserve capacity requirement calculated according to step (2-1-3)
Figure BDA0002223460050000095
Calculating the accident reserve capacity requirement calculated in the step (2-2-2)
Figure BDA0002223460050000096
Obtaining the reserve capacity R of the power system at the dispatching time t on the current dispatching day t
Figure BDA0002223460050000097
(3) Calculating the expected power shortage as a reliability index of the power system, wherein the calculation steps are as follows:
(3-1) by S i Representing the working state of the generator set i, setting two states of failure and operation of each generator set, wherein the failure of the generator sets is an independent event, and S i Is a discrete random variable:
Figure BDA0002223460050000098
obtaining fault rates lambda of all generator sets from power system dispatching center i And a repair rate parameter μ i And calculating the probability u of failure outage of the generator set i i And probability of normal operation a i
Figure BDA0002223460050000099
Figure BDA00022234600500000910
(3-2) calculating the system power supply shortage caused by the failure outage of the generator set as the expected power shortage of the power system at the scheduling time t:
Figure BDA00022234600500000911
wherein:
x t represents the state of the power system at the scheduled time t, x t =(S 1 ,S 2 …,S n ),S i Is a random variable, x t Is a random vector, X represents the state space of the power system at the scheduling time t,
I f (x t ) The state function of the power system at the scheduling time t is shown as the following expression:
Figure BDA0002223460050000101
L C (x t ) Indicating that the power system is in fault system state x t Then, the minimum load reduction value required for restoring the power system to a static safe operation point is determined according to a single fault safety criterion specified in the power system that at most 1 generator set fails, and if the generator set i fails at this time, the following steps are performed:
L C (x t )=G i,t
in the formula: g i,t The active power of the generator set i given in the step (2-2-1) at the scheduling time t;
P(x t ) Is x t Of a probability distribution function, P (x) t ) Representing power system state x t I.e. considering that the states of all generator sets are random variables independent of each other, only when a generator set i fails down:
Figure BDA0002223460050000102
in the formula: symbol Π denotes the multiplication by two, P (S) i ) Indicating that genset i is in state S i Probability of (u) i 、a i Respectively calculating the probability of failure shutdown and the probability of normal operation of the generator set i in the step (3-1);
(4) A power system energy and standby combined scheduling model based on power supply reliability is constructed as follows:
(4-1) an objective function of the power system energy and backup joint scheduling model based on supply reliability expects an EW to be minimized for the total cost of power system operation:
Figure BDA0002223460050000103
in the formula: g i,t The active power of the generator set i at the scheduling time t is obtained; r i,t The reserve capacity of the generator set i at the scheduling time t is used as a decision variable of the joint scheduling model; EWG t For the total cost expectation of normal operation of all generator sets of the power system at the scheduling time t, the waiting quantity, EWL t The expected risk loss cost of the power system at the scheduling time t is the amount to be solved;
total cost expectation EWG for normal operation of all units of power system at scheduling time t t The calculation formula of (2) is as follows:
Figure BDA0002223460050000104
in the formula: n is the number of generator sets planned to be started and is obtained from a power system dispatching center; WG (WG) t The total cost of normal operation of all the generator sets of the power system at the scheduling time t, the waiting quantity a i For the probability of normal operation, alpha, of the generator set i calculated in step (3-1) i 、β i Respectively acquiring the energy price and the standby price of the generator set i from the trading center of the power system;
risk loss cost expectation EWL of power system at scheduling time t t The calculation formula is as follows:
Figure BDA0002223460050000111
in the formula: gamma ray VOLL For power system unit power failureLoss, obtained from the electric power system dispatch center, u i Is the probability that the generator set i is in the fault outage state at the scheduling time t, a j Is the probability that the generator set j is in the normal operation state, u i And a j Calculated in the step (3-1);
(4-2) constraints of the power system energy and standby joint scheduling model based on the power supply reliability include:
(4-2-1) power system circuit active power flow constraint:
|z k,t |≤z k,max
in the formula: z is a radical of k,max The method comprises the steps that the transmission capacity limit of a power transmission line in a power system is obtained from a power system dispatching center; z is a radical of k,t The method is characterized in that the method is a method for determining the power flow of a power transmission line k at a scheduling time t in a power system:
Figure BDA0002223460050000112
wherein, g i,k Acquiring a power transmission distribution factor of a generator set i to the power transmission line k from a power system dispatching center; g i,t Active power of the generator set i at the scheduling time t, the amount to be solved, g i,k Acquiring a power transmission distribution factor of the node load j to the power transmission line k from a power system dispatching center; PF (particle Filter) j,t And acquiring a load predicted value of the current scheduling day node j at the scheduling time t from the power system scheduling center.
(4-2-2) power system active power supply and demand balance constraint:
Figure BDA0002223460050000113
l is the number of network lines of the power system, obtained from the power system dispatching center, delta k Obtaining the line loss rate of the transmission line k from a power system dispatching center, PF t Obtaining a load predicted value of the power system at the dispatching time t on the current dispatching day through the step (1-3);
(4-2-3) power system reserve capacity constraint:
Figure BDA0002223460050000114
wherein R is t Obtaining the standby requirement of the power system at the dispatching time t through the step (2-3);
(4-2-4) restraining the upper limit and the lower limit of the output of the generator set of the power system:
Figure BDA0002223460050000121
Figure BDA0002223460050000122
and respectively obtaining the upper limit and the lower limit of the active power of the generator set i from a power system dispatching center.
(4-2-5) the climbing capability of the power system generator set is restrained:
Figure BDA0002223460050000123
wherein,
Figure BDA0002223460050000124
respectively considering the maximum active power of the climbing constraint for the generator set i at the scheduling time t, and acquiring the maximum active power from a power system scheduling center;
(4-2-6) the reliability index constraint of the power system, wherein the expression formula is as follows:
Figure BDA0002223460050000125
in the formula, EDNS t The EDNS is calculated from the step (3-2) for the power system at the dispatching time t to expect the power shortage max Setting an expected upper limit of power shortage of the power system in the whole day of a dispatching day according to a safe operation requirement by a power system dispatching center;
(5) By using a lagrangian relaxation method, a power system energy and standby combined scheduling model based on power supply reliability and composed of the objective function and the constraint condition is solved, and taking a certain scheduling time as an example, the lagrangian function can be written as:
Figure BDA0002223460050000126
α,β,λ i,maxi,mini,maxi,mink,maxk,min and ω is the lagrange multiplier. Analyzing the resolvable structure of the equation by using a dual theorem to form a two-layer maximum-minimum optimization problem:
Figure BDA0002223460050000127
by utilizing Lagrange multiplier transfer parameters, the two-layer problem is repeatedly iterated to construct a feasible solution, and the optimal active power G of each generator set in the current scheduling day can be obtained through solving i,t And reserve capacity R i,t
(6) Obtaining an active power optimization result G of all generator sets of the power system at the scheduling time t according to the step (5) i,t And spare capacity optimization result R i,t Constructing an active power vector G' according to a scheduling time sequence;
(7) Setting a convergence judgment parameter epsilon, comparing the active power vector G 'with the active power vector G in the step (2-2-1), if G' -G | is less than epsilon, calculating convergence, and comparing the active power G of each generator set in the step (6) i,t And reserve capacity R i,t As a power system energy and standby combined scheduling result, power system energy and standby combined scheduling based on power supply reliability is realized; if | G k+1 -G k If | ≦ ε, the result does not converge and let G = G', return to step (2-2-1).
Obviously, the method adopted in the implementation steps proposed by the method can be flexibly selected and customized according to needs, and the expandability is strong. Therefore, the above implementation steps are only used for illustrating and not limiting the technical solution of the present invention. Any modification or partial replacement without departing from the spirit and scope of the present invention should be covered in the claims of the present invention.

Claims (1)

1. A power system energy and standby combined scheduling method based on power supply reliability is characterized by comprising the following steps:
(1) Predicting the load value of the power system in 24 hours on the current scheduling day, which comprises the following specific steps:
(1-1) recording the current scheduling date as D, acquiring the actual load value of the power system 60 days before the current scheduling date from the power system scheduling center, and calculating the load increase rate of the power system at the previous time t-1 of each historical scheduling date D in comparison with the scheduling time t
Figure FDA0002223460040000011
Figure FDA0002223460040000012
Wherein: d represents historical schedule day, D = D-60, …, D-1,t represents schedule time, t =1,2, …,24,
Figure FDA0002223460040000013
the actual load value of the system at the dispatching time t on the historical dispatching day d;
(1-2) the load increase rate of the power system at each scheduling time according to each historical scheduling day 60 days before the current scheduling day in the step (1-1)
Figure FDA0002223460040000014
Calculating the average value of the system load increase rate of the power system at the dispatching time t compared with the last dispatching time t-1
Figure FDA0002223460040000015
Figure FDA0002223460040000016
(1-3) acquiring the actual load value of the 24 th scheduling time of the day (D-1) before the current scheduling date from the power system scheduling center
Figure FDA0002223460040000017
To be provided with
Figure FDA0002223460040000018
As the reference load, the average load increase rate at each scheduling time obtained in the step (1-2) is used
Figure FDA0002223460040000019
Sequentially calculating the predicted value of the load of the power system at the scheduling time t on the current scheduling day D
Figure FDA00022234600400000110
Figure FDA00022234600400000111
(2) Determining the reserve capacity requirement of the power system on the current scheduling day, wherein the specific process is as follows:
(2-1) determining the load reserve capacity demand of the power system on the current scheduling day, comprising the steps of:
(2-1-1) obtaining the predicted value of the system load 60 days before the current scheduling day at the scheduling time t from the power system scheduling center
Figure FDA00022234600400000112
And actual value
Figure FDA00022234600400000113
Calculating the system load prediction deviation of the historical scheduling day d at the scheduling time t
Figure FDA00022234600400000114
Figure FDA00022234600400000115
(2-1-2) forecasting deviation of load of the power system at dispatching time t according to the historical dispatching day d obtained in the step (2-1-1)
Figure FDA00022234600400000116
Calculating the maximum load prediction deviation of the power system at the scheduling time t on the current scheduling day
Figure FDA00022234600400000117
Figure FDA00022234600400000118
(2-1-3) according to the load prediction deviation of the power system at the scheduling time t maximum on the current scheduling day calculated in the step (2-1-2)
Figure FDA0002223460040000021
And (1) calculating the system load predicted value of the current scheduling day D at the scheduling time t
Figure FDA0002223460040000022
Determining the load reserve capacity requirement of the current dispatching day D power system at the dispatching time t
Figure FDA0002223460040000023
Figure FDA0002223460040000024
(2-2) determining the emergency reserve capacity demand of the power system on the current scheduling day, comprising the steps of:
(2-2-1) setting active power G of generator set i planned to be started in power system on current dispatching day at dispatching time t i,t And the load demand of the power system at the scheduling time t is met:
Figure FDA0002223460040000025
in the formula: i represents the generator sets planned to be started up in the power system, n is the number of the generator sets planned to be started up and is obtained from a power system dispatching center,
Figure FDA0002223460040000026
obtained according to the step (1-3);
active power G of each generator set at each scheduling time i,t The active power vector G of all the generator sets at each scheduling moment is obtained according to the scheduling time sequence;
(2-2-2) according to the active power G of all the generator sets on the current scheduling day given in the step (2-2-1) i,t Calculating the maximum power generation shortage of the power system possibly caused by the fault outage of the single generator set at the scheduling time t, and taking the maximum power generation shortage of the power system as the accident reserve capacity requirement of the power system at the scheduling time t on the current scheduling day
Figure FDA0002223460040000027
Figure FDA0002223460040000028
(2-3) the load reserve capacity demand calculated according to the step (2-1-3)
Figure FDA0002223460040000029
Calculating the accident reserve capacity requirement calculated in the step (2-2-2)
Figure FDA00022234600400000210
Obtaining the reserve capacity R of the power system at the dispatching time t on the current dispatching day t
Figure FDA00022234600400000211
(3) Calculating the expected power shortage as a reliability index of the power system, wherein the calculation steps are as follows:
(3-1) by S i Representing the working state of the generator set i, setting two states of failure and operation of each generator set, wherein the failure of the generator sets is an independent event, and S i Is a discrete random variable:
Figure FDA00022234600400000212
obtaining fault rates lambda of all generator sets from power system dispatching center i And a repair rate parameter μ i And calculating the probability u of failure outage of the generator set i i And probability of normal operation a i
Figure FDA00022234600400000213
Figure FDA00022234600400000214
(3-2) calculating the system power supply shortage caused by the failure outage of the generator set as the expected power shortage of the power system at the scheduling time t:
Figure FDA0002223460040000031
wherein:
x t represents the state of the power system at the scheduled time t, x t =(S 1 ,S 2 …,S n ),S i Is a random variable, x t Is a random vector, X represents the state space of the power system at the scheduling time t,
I f (x t ) The state function of the power system at the scheduling time t is shown as the following expression:
Figure FDA0002223460040000032
L C (x t ) Indicating that the power system is in fault system state x t Then, the minimum load reduction value required for restoring the power system to a static safe operation point is determined according to a single fault safety criterion specified in the power system that at most 1 generator set fails, and if the generator set i fails at this time, the following steps are performed:
L C (x t )=G i,t
in the formula: g i,t The active power of the generator set i given in the step (2-2-1) at the scheduling time t;
P(x t ) Is x t Of a probability distribution function, P (x) t ) Representing power system state x t I.e. considering that the states of all generator sets are random variables independent of each other, only when a generator set i fails down:
Figure FDA0002223460040000033
in the formula: symbol Π denotes the multiplication by multiplication, P (S) i ) Indicating that genset i is in state S i Probability of (u) i 、a i Respectively calculating the probability of failure outage and the probability of normal operation of the generator set i in the step (3-1);
(4) A power system energy and standby combined scheduling model based on power supply reliability is constructed as follows:
(4-1) an objective function of the power system energy and backup joint scheduling model based on supply reliability expects an EW to be minimized for the total cost of power system operation:
Figure FDA0002223460040000034
in the formula: g i,t The active power of the generator set i at the scheduling time t is obtained; r i,t The reserve capacity of the generator set i at the scheduling time t is used as a decision variable of the joint scheduling model; EWG t For the total cost expectation of normal operation of all generator sets of the power system at the scheduling time t, the waiting quantity, EWL t The expected risk loss cost of the power system at the scheduling time t is the amount to be solved;
total cost expectation EWG for normal operation of all units of power system at scheduling time t t The calculation formula of (2) is as follows:
Figure FDA0002223460040000041
in the formula: n is the number of generator sets planned to be started and is obtained from a power system dispatching center; WG (WG) t The total cost of normal operation of all the generator sets of the power system at the scheduling time t, the waiting quantity a i For the probability of normal operation, alpha, of the generator set i calculated in step (3-1) i 、β i Respectively acquiring an energy price and a standby price of the generator set i from a trading center of the power system;
risk loss cost expectation EWL of power system at scheduling time t t The calculation formula is as follows:
Figure FDA0002223460040000042
in the formula: gamma ray VOLL For the unit power failure loss of the power system, u is obtained from a power system dispatching center i For generator set i in dispatchingProbability of moment t being in a fault shutdown state, a j Is the probability that the generator set j is in the normal operation state, u i And a j Calculated in the step (3-1);
(4-2) constraints of the power system energy and standby joint scheduling model based on the power supply reliability include:
(4-2-1) power system circuit active power flow constraint:
|z k,t |≤x k,max
in the formula: z is a radical of k,max The method comprises the steps that the transmission capacity limit of a power transmission line in a power system is obtained from a power system dispatching center; z is a radical of formula k,t The method is characterized in that the method is a method for controlling the power flow of a power transmission line k in a power system at a scheduling time t:
Figure FDA0002223460040000043
wherein, g i,k Acquiring a power transmission distribution factor of the generator set i to the power transmission line k from a power system dispatching center; g i,t The active power of the generator set i at the scheduling time t, the amount to be solved, g i,k Acquiring a power transmission distribution factor of the node load j to the power transmission line k from a power system dispatching center; PF (particle Filter) j,t Acquiring a load predicted value of a current scheduling day node j at a scheduling time t from a power system scheduling center;
(4-2-2) power system active power supply and demand balance constraint:
Figure FDA0002223460040000044
l is the number of network lines of the power system, obtained from the power system dispatching center, delta k Obtaining the line loss rate of the transmission line k from a power system dispatching center, PF t Obtaining a load predicted value of the power system at the dispatching time t on the current dispatching day through the step (1-3);
(4-2-3) power system reserve capacity constraint:
Figure FDA0002223460040000051
wherein R is t Obtaining the standby requirement of the power system at the dispatching time t through the step (2-3);
(4-2-4) restraining the upper limit and the lower limit of the output of the generator set of the power system:
Figure FDA0002223460040000052
Figure FDA0002223460040000053
respectively obtaining the upper limit and the lower limit of the active power of the generator set i from a power system dispatching center;
(4-2-5) the climbing capability of the power system generator set is restrained:
Figure FDA0002223460040000054
wherein,
Figure FDA0002223460040000055
respectively considering the maximum active power of the climbing constraint for the generator set i at the scheduling time t, and acquiring the maximum active power from a power system scheduling center;
(4-2-6) the reliability index constraint of the power system, wherein the expression formula is as follows:
Figure FDA0002223460040000056
in the formula, EDNS t The EDNS is calculated from the step (3-2) for the power system at the dispatching time t to expect the power shortage max Setting an expected upper limit of power shortage of the power system in the whole day of the dispatching day by the dispatching center of the power system according to the safe operation requirement;
(5) Solving a power system energy and standby combined scheduling model which is composed of the objective function and the constraint condition and is based on power supply reliability by using a Lagrange relaxation method, and solving to obtain the optimal active power G of each generator set in the current scheduling day i,t And spare capacity R i,t
(6) Obtaining an active power optimization result G of all generator sets of the power system at the scheduling time t according to the step (5) i,t And spare capacity optimization result R i,t Constructing an active power vector G' according to a scheduling time sequence;
(7) Setting a convergence judgment parameter epsilon, comparing the active power vector G 'with the active power vector G in the step (2-2-1), and if G' -G is not visible<E, calculating convergence, and calculating the active power G of each generator set in the step (6) i,t And spare capacity R i,t As a power system energy and standby combined scheduling result, power system energy and standby combined scheduling based on power supply reliability is realized; if | G k+1 -G k If | ≦ ε, the result does not converge and let G = G', return to step (2-2-1).
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