JP2005285032A - Daily power generation planning system for hydroelectric power station group - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To shorten a processing time by reducing a burden for making routine a linear planning problem and decreasing restriction conditional expressions. <P>SOLUTION: With regard to a planning system for determining from linear planning the quantity of water to be used for power generation with which static restriction conditions such as upper and lower limit values of storage of water in a dam are satisfied and a predetermined target function is maximized using power generator outputs of time zones as state parameters, the planning system comprises: a storage means 10 storing communicated water system model data; an operating data setting means 20 for setting the target function and the restriction conditions; a temporary power generation plan creation means 31 for creating a temporary power generation plan by executing linear planning; a restriction condition generation means 40 for generating operational restriction conditions relating to the quantity of water to be used for power generation while taking into account start/stop conditions of power generators or the like for power generation distribution based on the temporary power generation plan; a restriction condition addition means 32 for adding operational restriction conditions to the static restriction conditions; a final power generation plan creation means 33 for creating a final plan from linear planning using the new restriction conditions and the target function; a man-machine interface 50; and an input/output means 60. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  In the present invention, a daily power generation plan of each power plant in a water system in which a plurality of hydro power plants are connected through the same river system (hereinafter referred to as a connected water system) is planned by a computer using a linear programming method. About the system.

The planning of a daily power generation plan (for example, the power generation plan for the next day) of a hydroelectric power station group is a problem of determining the output of each generator for each time zone, in other words, the amount of water used for power generation.
When handling this type of power generation plan as a combinatorial optimization problem, assuming that the number of generators is N, the output that each generator can take is K, and the number of time divisions per day is T, the total number of combinations Since ^KNT is usually an astronomical value and the processing time by the computer is enormous, as a practical solution, an approach for obtaining a sub-optimal solution by various search methods has been made.

Here, a daily power generation planning method of a hydroelectric power station group mainly for the purpose of shortening the processing time is known from Patent Document 1 described later.
In this planning method, water is distributed in the order of discharge route, time zone, and unit-time water consumption, where the product of the power generation value per unit water consumption and the power generation value correction coefficient is the largest, and the total amount of water allocated is within a given day. An evaluation method that formulates a water distribution plan to reach the amount of water used, performs a water system simulation according to this plan, evaluates the plan (evaluates whether there is a violation of constraint conditions, evaluates power generation value), and stores the best solution And a planning condition reviewing means for reviewing and changing the power generation value correction coefficient in each of the discharge route, time zone, and unit water consumption amount to guide the plan to a better one based on the simulation result. And generating a daily power generation plan by repeating the processing by each of these means a predetermined number of times.

  On the other hand, there is a well-known linear programming method as an optimization method that can handle a continuous amount of variables. When this linear programming method is applied to the planning of a daily power generation plan, the time of the day is usually divided into N (a section of one divided time is referred to as “time zone” here), and one time zone. The amount of generated water used (assumed to have a corresponding relationship with the generator output) is considered constant, and the amount of generated water used at each power plant at each time zone and the amount of water stored at each dam at each time The objective function is given as a linear expression for the state variable, giving the upper and lower limits of the water storage amount of each dam, the upper and lower limits of the amount of water used by each power plant, the flow rate relation and the relational expression A method for obtaining the amount of water used for power generation in each time zone of each power plant that minimizes or maximizes (that is, optimal) can be considered.

JP-A-5-91799 ([0010] to [0018], FIG. 1 etc.)

In the actual planning of a daily power generation plan in a connected water system using linear programming, in addition to static constraints such as the upper and lower limits of water storage capacity of each dam, operational constraints (dynamic There are some constraints).
For example, even if a plan to raise the generator output (the amount of water used for power generation) from 0 to 100% at a certain time is formulated, the generator output is changed over time in actual operation. It can only be operated with a gradual increase (increase the amount of water used for power generation), or even if an operation plan that makes the output lower than the lower limit value of the generator is created, such operation is not possible. Yes, mainly due to generator operation / stop conditions.
In order to handle these operational constraints at the same time as static constraints and execute linear programming, various constraints must be defined over all possible time zones, resulting in constraints. As the number of expressions becomes very large, it becomes very complicated and difficult to formulate the constraint conditions before that.

  Further, the daily power generation planning method described in Patent Document 1 described above is a series of power generation planning, evaluation of power generation value by simulation, and review of power generation value correction coefficient for each discharge route / time zone / unit time water consumption. Since this method is a method for creating an optimal power generation plan by repeating the above process a plurality of times, the processing time is expected to be prolonged, and the above-described operational constraints are not taken into consideration.

  The present invention has been made to solve the above-described various problems, and its purpose is to execute linear programming in two stages, and moreover, after creating a temporary power generation plan, operational constraints are set. Providing a planning system that makes it possible to create a daily power generation plan for hydroelectric power stations without burdening it with realistic processing time by creating a final power generation plan after taking into account all the constraints There is.

In order to solve the above-mentioned problem, the invention described in claim 1 is to determine the amount of water used for power generation for each time zone of each power plant in a connected water system in which a plurality of hydro power plants are connected through the same river system. A daily power generation planning system for creating a daily power generation plan,
The upper and lower limits of the dam reservoir volume, the upper and lower limits of the amount of water used for power generation, the dam reservoir relational expression considering the flow time, the initial and final values of the dam reservoir volume, and the power generation for each time zone In the daily power generation planning system that uses linear programming to determine the amount of water used for each generator that maximizes the objective function with the machine output as the state variable,
A connected water model data storage means in which a model of the connected water system is stored;
Operation data setting means for setting the objective function and the constraint conditions in a computer for the connected water system model stored in the storage means,
A temporary power generation plan creating means for executing a linear programming using the objective function and the constraint condition, and creating a temporary power generation plan,
Constraint condition generating means for generating operational constraint conditions regarding the amount of water used for power generation in consideration of the operation / stop conditions and stepwise start patterns of each generator for the power generation distribution of the amount of water used for power generation prepared by the temporary power generation plan When,
Constraint condition adding means for adding the above operational constraint condition to the constraint condition used by the temporary power generation plan creating means and generating a new constraint condition;
A final power generation plan creating means for executing a linear programming method using the new constraint condition generated by the constraint condition adding means and the objective function, and creating a final power generation plan;
Input / output means for outputting the final power generation plan.

The invention described in claim 2 is the daily power generation planning system for the hydroelectric power station group described in claim 1,
The constraint condition generation means determines the operation / stop of the generator based on the result of comparing the generated water consumption for each time period with the threshold value in the power generation distribution prepared by the temporary power generation plan. Generates a stop state as a new constraint condition, and generates a generated water consumption amount as a new constraint condition in the time zone corresponding to the stepwise startup pattern of the generator in a time zone before the generator startup time. It is.

  In the present invention, first, the provisional power generation plan is formulated by formulating the linear programming problem using static constraints such as the upper and lower limit values of the dam water storage amount and the generation water use amount, and then this temporary power generation plan is created. Based on the plan, create operational constraints that take into account each generator's operation / shutdown conditions and staged start patterns, and then create a final power plan by executing linear programming using all these constraints. Therefore, it is possible to reduce the constraint formulas compared to the case where the initial formulation is performed in consideration of the operational constraint conditions, and it is possible to reduce the burden associated with the formulation of the linear programming problem. Further, the automation of the planning can reduce the burden on the planner, and the processing time can be shortened.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
First, FIG. 1 is a diagram showing a connected water system model to which this embodiment is applied. In FIG. 1, D1 to D6 and D51 are dams, V1 to V6 are water storage [ton / s · H] of dams D1 to D6, and G1 to G4 and G6 are provided downstream of the dams D1 to D4 and D6, respectively. The generator of the dam type power plant, G5 is the generator of the inflow type power plant provided downstream of the dam D51, P1 to P6 are the outputs [MW] of the generators G1 to G6, and R1 to R6 and R51 are the dam D1. ~ River water inflow [ton / s] flowing into D6 and D51, R51 _out is the overflow [ton / s] of dam D51, and Q1 to Q6 are the outflow [ton / s] from dams D1 to D6 , T12, T23, T36, T45, T55, and T56 are the downflow time [min] from the upstream dam to the downstream dam, respectively.
It is assumed that the generator G5 is performing water conditioning operation (inflow Q5 into the dam D51 = operation adjusted so as to be the amount of water used for power generation Q51), and the dam D51 is an inflow power plant. Since it is a water tank, it is simply considered as a water passing point, and the amount of water stored in the water tank is not considered.

  Here, the outflow amounts Q1 to Q4, Q51, and Q6 are equal to the power generation use water amounts Q1 to Q4, Q51, and Q6 of the generators G1 to G6, and the outflow amount Q5 is equal to the intake amount of the generator G5 for power generation. Furthermore, the generator outputs P1 to P6 have a corresponding relationship with the power generation usage water amounts Q1 to Q4, Q51, and Q6, and the stored water amounts V1 to V6 have a corresponding relationship with the water level.

Next, formulation for creating a daily power generation plan for each of the generators G1 to G6 by the linear programming method for the above-described connected water system model will be described.
(1) the value per objective function generator output 1 [MW], it represents the power value K _T as coefficients representing the electrical generation demand degree of hydropower per time slot, as shown in Equation 1 below, the time zone A value _{obtained by summing up} the product of the power generation value _KT and the generator output _PjT for each time zone is defined as an objective function Z, and the objective function Z is maximized.
The power generation value _KT is represented by, for example, (power generation amount / water consumption per unit time) × unit power amount value, and the unit power amount value is a thermal power increase fuel cost (by the same amount) for each power plant and each time zone. It is determined in consideration of the fuel cost when electric power is generated by thermal power generation. Accordingly, large power generation amount per unit time water consumption, power generation value K _T the same amount of power higher fuel costs when covered by thermal power generation is increased, it can be considered that the more power required hydropower is high .

Here, P _jT = a _j Q _jT + b _j , and regarding variables and coefficients,
P _jT : Generator output [MW]
Q _jT : Power generation water _consumption [ton / s]
K _T : Power generation value [yen / MW]
a _j , b _j are coefficients of a characteristic equation between the power generation use water amount Q and the generator output P that are linearly approximated.
For subscripts,
j: Number of generators (j = 1-6)
T: Time zone (a time zone having a width of 1 hour, T = 1 to 24 for one day)
It is.

(2) State variables / constraints The generator output P can be expressed as a function of the amount of water used for power generation Q, and the dam water level H can be expressed as a function of the amount of stored water V. The relationship with the quantity V can be expressed in a linear form. Therefore, in the present embodiment, the power generation use water amount Q, the stored water amount V, the intake amount Q5 and the overflow amount R51 _out of some dams D51 are set as state variables to be handled by the linear programming method.
In addition, the constraints used during the execution of the first linear programming are the upper and lower limits of the water storage amount V, which is a state variable, the upper and lower limits of the generated water consumption Q, and some generators (flow-type power plants). ) The flow rate relational expression of G5, the relational expression of the water storage amount of the dams D1 to D6, and the initial value and final value of the water storage quantity V.
Here, in the generator G5 provided in the dam D51 of the inflow type power plant, the water intake amount Q5 from the dam D5 further upstream than the dam D51 becomes the power generation use water amount Q51 of the generator G5 after the downflow time T55, Since it is necessary to consider the amount of water used for power generation Q different from that of the other generators G1 to G4, G6, the amount of water used for power generation Q51 is incorporated into the constraint as a flow rate relational expression.

The constraint conditions in the connected water system model shown in FIG. 1 are shown below.
First, the constraint condition (inequality constraint condition) regarding the upper and lower limit values of the water storage amount V of each dam is as shown in Formula 2.
[Equation 2]
V _jmin ≦ V _jt ≦ V _jmax
V _jmin : Lower limit value of water storage capacity of each dam
V _jmax : Upper limit value of the amount of water stored in each dam

The constraint condition (inequality constraint condition) regarding the upper and lower limit values of the generated water usage amount Q of each generator is as in Expression 3.
[Equation 3]
Q _jmin ≦ Q _jt ≦ Q _jmax
Q _jmin : Lower limit value of the amount of water used by each generator
Q _jmax : Upper limit value of water used by each generator

As a flow rate relational expression, a constraint condition (equation constraint condition) regarding the amount of water used for power generation of the generator G5 is as shown in Formula 4.
[Equation 4]
_{Q51 T = Q5 T × {(} 60-T55) / 60} + Q5 T-1 × (T55 / 60) + R51 T -R51 outT

The first term and the second term on the right side of Formula 4 approximately represent the influence of the amount of water intake Q5 from the dam D5 becoming the amount of water used for power generation Q51 of the generator G5 after the flow-down time T55. In this example, the flow time T55 is in the form of an equation that assumes a range of 0 minutes to 60 minutes, and the first term on the right side is the current amount of water intake Q5 _{T in} the current time zone. power water consumption amount contained in Q51 _T, the second term of the right side of the intervals among the previous time zone of water intake Q5 _T-1, minute included in the power generation using water Q51 _T of current time zone The third term and the fourth term on the right side indicate the inflow amount and the overflow amount to the dam D51 in the current time zone.
If the flow-down time T55 is in the range of 60 minutes to 120 minutes, the flow rate relational expression is as shown in Equation 5.
[Equation 5]
_{Q51 T = Q5 T-1 ×} {(120-T55) / 60} + Q5 T-2 × {(T55-60) / 60} + R51 T -R51 outT

As a water storage amount relational expression, a constraint condition (equal constraint condition) regarding the water storage amount of each dam D1 to D6 is as shown in Equation 6.
[Equation 6]
_{· V1 t = V1 t-1} + (R1 T -Q1 T) × ΔT
_{· V2 t = V2 t-1} + [R2 T + Q1 T × {(60-T12) / 60} + Q1 T-1 × (T12 / 60) -Q2 T] × ΔT
_{· V3 t = V3 t-1} + [R3 T + Q2 T × {(60-T23) / 60} + Q2 T-1 × (T23 / 60) -Q3 T] × ΔT
・ V4 _t = V4 _t−1 + (R4 _T −Q4 _T ) × ΔT
_{· V5 t = V5 t-1} + [R5 T + Q4 T × {(60-T45) / 60} + Q4 T-1 × (T45 / 60) -Q5 T] × ΔT
_{· V6 t = V6 t-1} + [R6 T + Q3 T × {(60-T36) / 60} + Q3 T-1 × (T36 / 60) + Q51 T × {(60-T56) / 60} + Q51 T-1 × (T56 / 60) −Q6 _T ] × ΔT

Among the constraints of Equation 6, for example, the second equality constraint (V2 _t =...) Is that the water storage amount V2 _t of the dam D2 at a certain time t is the water storage at the previous time (t−1). amount _{V2 t-1,} the time (t-1) is a water storage amount variation of the time t from _{[R2 T + Q1 T × {} (60-T12) / 60} + Q1 T-1 × (T12 / 60) - Q2 _T ] × ΔT must be equal to the sum of the above, and the amount of change in the amount of stored water is determined by the amount of inflow R2 _T and the amount of outflow (water used for power generation) Q2 _T in the time zone T immediately before time t. The sum of Q1 _T × {(60−T12) / 60} + Q1 _T−1 × (T12 / 60), which is an outflow amount considering the flow time T12 from the dam D1 to D2, is the width of the time zone. Multiplyed by ΔT (= 1 hour).
The meanings of the other constraints in Equation 6 can be similarly inferred.
Note that the subscript T in each constraint described above indicates a time zone (T = 1 to 24) having a width of one hour as described above, and the subscript t is a time of day (t = 0 to 0). 23).

Here, in the calculation of the amount of water used for power generation in Formulas 4 to 6, conceptually a calculation method in consideration of the flow-down time is as shown in FIGS. These figures, in consideration of the flow time T _AB where from the point A (upstream) water flows to the point B (downstream), represents a method for determining the arrival water QB _T time period T at the point B.

FIG. 4 shows a case where T _AB ≦ 60 minutes, which is the same case as Equation 4 described above. In FIG. 4, not considering the inflow R51 _T and overflow amount _{R51 OUTT} to dam D51 in equation 4.
As shown in FIG. 4, the point B corresponding to the area within the bold line using the adjacent time zone (T-1) at the upstream point A and the water amounts QA _T-1 , QA _T and the flow time T _AB at T. it is possible to determine the amount of water QB _T of the time zone T.
FIG. 5 shows a case where 60 minutes ≦ T _AB ≦ 120 minutes, which is the same case as Equation 5 described above. In this case, using the water amounts QA _T-2 and QA _T-1 and the flow time T _AB in the adjacent time zones (T-2) and (T-1) at the point A, this corresponds to the area within the bold line. it is possible to determine the amount of water QB _T of the time period T of the point B.
Therefore, the constraint condition expressions of Expressions 4 to 6 can be created using the concept shown in FIG. 4 or FIG.

  In addition, the constraint condition regarding the initial value and the final value of the water storage amount V is that the water level value is converted into the water storage amount for each dam, the water storage amount at 0 o'clock is the initial value, and it is 24:00 (0 o'clock the next day). The amount of water storage shall be given as the final value.

Next, FIG. 2 is a flowchart showing a procedure for making a daily power generation plan according to this embodiment. The contents will be described below.
(1) Initial setting and operation data setting step (S1)
This is a step of setting basic data related to linear programming in a computer for a connected water system model for which a daily power generation plan is to be created. As the basic data, the above-described Equation 1 is set as an objective function. The upper and lower limit values of the power generation water usage amount Q, which is a state variable, the upper and lower limit values of the water storage amount V, the flow rate relational expression of the generator G5, the water volume relational expression of the dams D1 to D6, and The initial value and final value of the water storage amount V are set. These constraints are referred to as static constraints for convenience. In this step, the power generation value that fluctuates in daily operation, the inflow amount R into each dam, and the like are also input as operation data.
Regarding the state-variable water use amount Q, the stored water amount V, the intake amount Q5 of some dams D51, and the overflow amount R51 _out , the values at each predetermined time zone or time are shown for each generator and dam, etc. It shall be given as a symbol (for example, Q1 _{1 to} Q1 ₂₄ , V1 _{1 to} V1 _24, etc.).

(2) Linear programming execution step (S2)
Linear programming is executed using the data set in step S1. Specifically, using a known simplex method or interior point method, a power generation water consumption amount Q that maximizes the objective function of Formula 1 without violating the static constraint described above is obtained.
Thereby, as a provisional temporary power generation plan, a large-scale power generation plan (power generation distribution) in which the amount of water used for power generation in each time zone of each generator is obtained can be obtained.
FIG. 8 exemplifies a provisional power generation plan for the water system model of FIG. 1, and for each of the generators G <b> 1 to G <b> 6, the generated water usage (generator output) Q for each time zone is shown on the vertical axis. is there.

(3) Dynamic constraint generation step (S3)
In this step, based on the power generation distribution by the temporary power generation plan described above, an operational constraint condition to be given to the execution of the second linear programming method (S5) is generated.
The operational constraint conditions include an equation constraint condition (S31) generated in consideration of the generator operation / stop condition, and an equation constraint condition generated in consideration of the stepwise startup pattern of the generator. (S32).

The equation constraint condition (S31) generated in consideration of the generator operation / stop condition is, for example, a predetermined threshold in which the generator output in a certain time zone created by the provisional power generation plan is determined by the characteristics of the generator. If it is determined that the generator is not operating, the generator is stopped, and the generator is stopped only when the threshold is exceeded. This is a constraint condition such that the amount of water used for power generation = 0.
That is, in order to stop the power generation in the hatched portion in the upper part of FIG. 6 and obtain the power generation distribution as shown in the lower part of FIG. 6, the power generation water consumption of the generator is generated to be zero in time zone 09. It is a constraint condition.

In addition, the equation constraint (S32) generated in consideration of the gradual start pattern of the generator is a new one because the generator output (water used for power generation) cannot be rapidly increased to 100%. It is a constraint condition added to.
For example, taking into account the stepwise start pattern determined for each generator as shown in the upper part of FIG. 7, the generator start time determined in the above-described step S31 (examples of FIGS. 6 and 7). In the time zone before (09 o'clock) (also in the time zone 08, 09), as shown in the lower part of FIG. As a result, the amount of water used for power generation in the time periods 08 and 09 is newly generated as an equality constraint condition.

(4) Step of adding constraint conditions (S4)
This step is a process of adding the operational constraint condition generated in step S3 to the static constraint condition used for creating the temporary power generation plan in step S2.

(5) Linear programming execution step (S5)
The linear programming method is executed using all the constraints obtained in step S4 and the objective function (the same as that at the time of creating the temporary power generation plan) to create a final power generation plan.
That is, the final determination is made by using a simplex method or the like to obtain a power generation water quantity Q that maximizes the objective function of Formula 1 without violating any of the static constraint condition and the operational constraint condition. A power generation distribution as shown in FIG. 9 is obtained as a power generation plan.
The final power generation plan shown in FIG. 9 sets the amount of water used for power generation in the time zone treated as being stopped in the temporary power generation plan of FIG. 8 to 0, and takes into account the stepwise start pattern of the generator. Is added to Fig. 8, and the objective function is maximized by satisfying both static constraints such as the upper and lower limits of the water storage capacity of each dam and operational constraints associated with generator operation and shutdown. It becomes possible to determine the amount of water used for power generation for each time zone of each generator.

FIG. 3 is a diagram showing a system configuration for executing each of the above steps, and the whole is configured by hardware and software of a computer including an input / output device.
In FIG. 3, the connected water system model data storage means 10 stores a connected water system model as shown in FIG. 1 as a database for creating a daily power generation plan.
The operation data setting means 20 includes, for example, the connected water system model of FIG. 1, the objective function of Formula 1 formulating the linear programming problem, the upper and lower limits of the stored water amount and the amount of water used for power generation, Static constraint conditions such as the initial and final values of the water storage amount are set, and connected to the input / output means 60 described later via the man-machine interface 50 and the setting data is stored as a table. Storage device.
The objective function and static constraints set by the operation data setting unit 20 are input to the power generation plan creation unit 30.

The power generation plan creation means 30 is composed of a temporary power generation plan creation means 31, a constraint condition addition means 32, and a final power generation plan creation means 33, and a CPU, a temporary power generation plan, and a final power generation plan that execute a program for solving a linear programming problem. And a storage device for storing objective functions, constraint conditions, and the like.
The temporary power generation plan creating means 31 solves the linear programming problem using the objective function and the static constraint conditions, creates and outputs a temporary power generation plan as shown in FIG. 8, and temporarily outputs the temporary power generation plan. To remember. Further, the objective function is sent to the final power generation plan creation means 33 and the static constraint condition is sent to the constraint condition adding means 32 and stored therein.

  Based on the temporary power generation plan, the constraint condition generation means 40 compares the amount of water used for power generation in each time zone with a preset threshold value, and determines the operation / stop state of the generator according to the result. A new constraint condition is generated, and the amount of water used in each time zone on the temporary power generation plan is averaged in consideration of the pre-stored step-by-step activation pattern of the generator, and the obtained power generation distribution is updated. This is a means for generating various operational constraints, and includes a program for performing comparison / arithmetic processing and a storage device.

  The constraint condition adding unit 32 is a unit that adds and holds the operational constraint condition output from the constraint condition generating unit 40 to the previously stored static constraint condition.

The final power generation plan creation means 33 solves the linear programming problem using the previously stored objective function at the time of the temporary power generation plan creation and the new constraint condition output from the constraint condition addition means 32, and the operational constraints. Considering the conditions, a final power generation plan as shown in FIG. 9 is created. This power generation plan is displayed on the display device of the input / output means 60 via the man-machine interface 50 or printed out.
The input / output means 60 performs setting input of initial setting data and operation data, display output of a final power generation plan, and the like, and includes a known keyboard input device and display display device.

Note that the provisional power generation plan creation means 31 and the final power generation plan creation means 33 have many functionally common parts, and thus the functions of both may be integrated.
FIG. 3 is a functionally separated representation of the system of the present embodiment, and it goes without saying that the functions of each means may be integrated.

It is a figure which shows the articulated water system model with which embodiment of this invention is applied. It is a flowchart which shows the planning procedure of the daily power generation plan by embodiment of this invention. It is a system configuration figure showing an embodiment of the present invention. In embodiment of this invention, it is a figure which shows notionally the calculation method of the electric power generation water consumption which considered the flow-down time. In embodiment of this invention, it is a figure which shows notionally the calculation method of the electric power generation water consumption which considered the flow-down time. In embodiment of this invention, it is explanatory drawing of the production | generation method of the constraint condition which considered the driving | operation / stop conditions of the generator. In embodiment of this invention, it is explanatory drawing of the production | generation method of the constraint condition which considered the stepwise starting pattern of the generator. It is explanatory drawing of the temporary power generation plan produced by embodiment of this invention. It is explanatory drawing of the final electric power generation plan produced by embodiment of this invention.

Explanation of symbols

10: articulated water system model data storage means 20: operation data setting means 30: power generation plan creation means 31: provisional power generation plan creation means 32: constraint condition addition means 33: final power generation plan creation means 40: restriction condition generation means 50: man Machine interface 60: Input / output means D1-D6: Dam D51: Dam (water tank)
G1 to G4, G6: Generators for dam type power plants G5: Generators for inflow type power plants

Claims (2)

A daily power generation planning system that creates a daily power generation plan by determining the amount of water used for power generation at each power station in a connected water system in which multiple hydroelectric power stations are connected via the same river water system by a computer. ,
The upper and lower limits of the dam reservoir volume, the upper and lower limits of the amount of water used for power generation, the dam reservoir relational expression considering the flow time, the initial and final values of the dam reservoir volume, and the power generation for each time zone In the daily power generation planning system that uses linear programming to determine the amount of water used for each generator that maximizes the objective function with the machine output as the state variable,
A connected water model data storage means in which a model of the connected water system is stored;
Operation data setting means for setting the objective function and the constraint conditions in a computer for the connected water system model stored in the storage means,
A temporary power generation plan creating means for executing a linear programming using the objective function and the constraint condition, and creating a temporary power generation plan,
Constraint condition generating means for generating operational constraint conditions regarding the amount of water used for power generation in consideration of the operation / stop conditions and stepwise start patterns of each generator for the power generation distribution of the amount of water used for power generation prepared by the temporary power generation plan When,
Constraint condition adding means for adding the above operational constraint condition to the constraint condition used by the temporary power generation plan creating means and generating a new constraint condition;
A final power generation plan creating means for executing a linear programming method using the new constraint condition generated by the constraint condition adding means and the objective function, and creating a final power generation plan;
Input / output means for outputting the final power generation plan;
A daily power generation planning system for hydroelectric power plants characterized by comprising In the daily power generation planning system of the hydroelectric power station group described in claim 1,
The constraint generation means is
Among the power generation distributions prepared by the temporary power generation plan, the amount of water used for each time period is compared with a threshold value, and the operation / stop state of the generator is determined based on the result. And generating the amount of water used for power generation in the time zone according to the stepwise startup pattern of the generator as a new constraint condition in a time zone before the startup time of the generator. Group daily power generation planning system.

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