CN112186812B

CN112186812B - Peak regulation scheduling method, system and device for power system and storage medium

Info

Publication number: CN112186812B
Application number: CN202011038437.6A
Authority: CN
Inventors: 肖亮; 方必武; 杨林; 陈亦平; 辛阔; 孙成; 杨若朴; 吴亮; 李慧勇
Original assignee: China Southern Power Grid Co Ltd
Current assignee: China Southern Power Grid Co Ltd
Priority date: 2020-09-28
Filing date: 2020-09-28
Publication date: 2023-05-09
Anticipated expiration: 2040-09-28
Also published as: CN112186812A

Abstract

The invention discloses a peak shaving scheduling method, a system, a device and a storage medium of a power system, wherein the method comprises the following steps: acquiring hydroelectric power generation capacity, determining a first optimization model according to the hydroelectric power generation capacity, and determining a first power generation plan according to the first optimization model; determining a first peak shaving requirement of each preset period of the power system according to a first power generation plan; determining a first peak regulation capacity of the thermal power unit and a second peak regulation capacity of the hydroelectric power unit; and dispatching the thermal power unit, the hydroelectric power unit and the wind power unit to carry out peak regulation according to the first peak regulation requirement, the first peak regulation capacity and the second peak regulation capacity, and adjusting the first power generation plan to obtain a second power generation plan. The invention can reasonably peak shaving and scheduling various power supplies in the power system, furthest promotes the consumption of clean energy, improves the utilization rate of hydroelectric resources and wind power resources, and improves the stability of the power system while reducing the power generation cost of the thermal power generating unit. The invention can be widely applied to the technical field of power systems.

Description

Peak regulation scheduling method, system and device for power system and storage medium

Technical Field

The invention relates to the technical field of power systems, in particular to a power system peak shaving scheduling method, a system, a device and a storage medium.

Background

Stepped hydropower, wind power and thermal power are the most basic power supply types in China, and water, fire, wind and power systems become the most common power grid structure types. In recent years, with the rapid development of new energy sources such as wind power, the structure of an electric load is changed, and the peak regulation pressure of an electric power system is also increased. Therefore, the power system optimization scheduling method considering the deep peak shaving has become the focus of research in the current power system optimization operation field. In general, the current power system optimization scheduling method considering depth peak shaving mainly has two solutions. Firstly, the fine peak regulation cost function of the thermal power unit is constructed by more carefully analyzing the peak regulation process of the thermal power unit, so that the accuracy and applicability of the deep peak regulation of the thermal power unit are improved, and the running cost of the power system in the peak regulation process is reduced; secondly, with the aim of improving the clean energy (hydropower and wind power) absorption capacity, an optimal scheduling method of the power system is provided to maximize the clean energy absorption.

The optimized scheduling method related to the depth peak shaving in the prior art has the following problems:

(1) The method has the advantages that the consideration of the operation characteristics of various power supplies in the power system is not comprehensive, the current peak regulation scheduling is mainly performed by a wind-fire power system, the influence of the step hydroelectric operation characteristics on the peak regulation of the power system is rarely considered, the main power supply type is actually adopted, the step hydroelectric power generation planning curve has a larger influence on the peak regulation of the power grid, the step hydroelectric operation characteristics are obviously different from those of thermal power and wind power, the step hydroelectric power is not considered, the peak regulation scheduling result does not meet the actual requirement, and the stable operation of the power system is influenced;

(2) The method is characterized in that the operation cost of the thermal power unit during peak shaving and the clean energy consumption improving capability are two important optimization targets in the power system optimization scheduling problem of the depth peak shaving are considered, so that the power system optimization scheduling problem of the depth peak shaving is basically multi-target optimization problem, the existing method generally integrates the optimization target items by adopting weight coefficients, however, the real priority difference of the optimization targets is difficult to accurately reflect by simple weighted synthesis, on one hand, the operation cost of the thermal power unit is too high, the stable operation of the power system is not facilitated, on the other hand, the clean energy consumption cannot be guaranteed, the waste of renewable energy sources such as water and electricity resources and wind and the like is caused, the load of the thermal power unit such as coal, fuel and gas is increased, and the pollution to the environment is increased.

Disclosure of Invention

The present invention aims to solve at least one of the technical problems existing in the prior art to a certain extent.

Therefore, an object of the embodiment of the invention is to provide a peak shaving scheduling method for an electric power system, which fully considers the operation characteristics of various power supplies in a water, fire and wind power system, adopts a staged optimization mode, and can orderly connect various targets such as reducing the power generation cost of a thermal power unit and promoting clean energy consumption, so that various power supplies in the electric power system are reasonably subjected to peak shaving scheduling, the power generation cost of the thermal power unit is reduced, the consumption of clean energy is promoted to the greatest extent, the utilization rate of hydroelectric resources and wind power resources is improved, the environmental pollution is reduced, and the stability of the electric power system is also improved.

Another object of the embodiment of the invention is to provide a peak shaver and dispatching system for a power system.

In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps:

in a first aspect, an embodiment of the present invention provides a peak shaving scheduling method for an electric power system, including the following steps:

acquiring hydroelectric power generation capacity, determining a first optimization model according to the hydroelectric power generation capacity, and determining a first power generation plan according to the first optimization model;

Determining a first peak shaving requirement of each preset period of the power system according to the first power generation plan;

determining a first peak regulation capacity of the thermal power unit and a second peak regulation capacity of the hydroelectric power unit;

according to the first peak shaving requirement, the first peak shaving capacity and the second peak shaving capacity, a thermal power unit, a hydroelectric generating unit and a wind generating unit are dispatched to carry out peak shaving, and the first power generation plan is regulated according to a peak shaving result to obtain a second power generation plan;

the first optimization model is an optimization model with minimum depth peak shaving amount as a target.

Further, in one embodiment of the present invention, the step of obtaining the hydroelectric power generation amount, determining a first optimization model according to the hydroelectric power generation amount, and determining a first power generation plan according to the first optimization model specifically includes:

acquiring hydroelectric power generation capacity, and establishing a cascade hydroelectric power generation capacity flexible model according to the hydroelectric power generation capacity;

determining importance coefficients of all hydroelectric generating sets according to the cascade hydroelectric generating capacity flexible model;

determining a first optimization model according to the importance coefficient, and determining a first power generation plan according to the first optimization model;

the first power generation plan comprises a first thermal power generating unit power generation plan, a first hydroelectric generating unit power generation plan and a first wind generating unit power generation plan.

Further, in one embodiment of the present invention, the first optimization model includes a first objective function that minimizes the depth peaking amount and a first constraint, the first objective function being:

wherein NT represents the total number of optimization periods, PN _t The peak regulation requirement of the period t is represented, NH represents the total number of the hydroelectric generating sets, I _h Represents the importance coefficient of the hydroelectric generating set h, alpha ₁ Represents a first weight coefficient, alpha ₂ Represents a second weight coefficient, and alpha ₁ >α ₂ 。

Further, in an embodiment of the present invention, the second power generation plan includes a second thermal power generation plan, a second hydroelectric power generation plan, and a second wind power generation plan, where the step of scheduling the thermal power generation plant, the hydroelectric power generation plant, and the wind power generation plant according to the first peak shaving requirement, the first peak shaving capability, and the second peak shaving capability, and adjusting the first power generation plan according to a peak shaving result to obtain the second power generation plan specifically includes:

the first peak shaving requirement is determined to be smaller than or equal to the first peak shaving capacity, a thermal power unit is scheduled to carry out peak shaving, and a second thermal power unit generating plan is obtained according to the first hydroelectric power unit generating plan, the first wind power unit generating plan and a second optimizing model;

Or alternatively, the first and second heat exchangers may be,

the first peak shaving requirement is determined to be larger than the first peak shaving capacity, and the first peak shaving requirement is smaller than or equal to a first sum value, then the thermal power unit and the hydroelectric power unit are scheduled to carry out peak shaving, the first hydroelectric power unit generating schedule is adjusted according to the difference value of the first peak shaving requirement and the first peak shaving capacity to obtain a second hydroelectric power unit generating schedule, and then the second hydroelectric power unit generating schedule is obtained according to the second hydroelectric power unit generating schedule, the first wind power unit generating schedule and a second optimizing model;

or alternatively, the first and second heat exchangers may be,

if the first peak shaving demand is larger than a first sum value, dispatching a thermal power unit, a hydroelectric generating unit and a wind generating unit to carry out peak shaving, adjusting the first wind generating unit generating schedule according to the difference value of the first peak shaving demand and the first sum value to obtain a second wind generating unit generating schedule, adjusting the first hydroelectric generating unit generating schedule according to the second wind generating unit generating schedule to obtain a second hydroelectric generating unit generating schedule, and obtaining a second thermal power unit generating schedule according to the second hydroelectric generating unit generating schedule, the second wind generating unit generating schedule and a second optimizing model;

The second optimization model is an optimization model with the lowest running cost of the thermal power unit as a target, and the first sum value is a sum value of the first peak regulation capacity and the second peak regulation capacity.

Further, in one embodiment of the present invention, the second optimization model includes a second objective function for minimizing an operation cost of the thermal power plant and a second constraint condition, where the second constraint condition includes an electric power balance constraint, an operation section constraint, a thermal power plant capacity constraint, and a thermal power plant climbing capacity constraint, and the second objective function is:

wherein NT represents the total optimized time period number, NC represents the total number of thermal power units, deltaT represents the time period interval, w _c (P) represents the running cost of the thermal power plant c, P _c,t The generated power of the thermal power generating unit c in the period t is represented.

Further, in an embodiment of the present invention, the step of adjusting the first hydroelectric generating set plan according to the difference between the first peak shaving requirement and the first peak shaving capability to obtain a second hydroelectric generating set plan specifically includes:

dividing the hydroelectric generating set into a high-risk hydroelectric generating set, a medium-risk hydroelectric generating set and a low-risk hydroelectric generating set according to the cascade hydroelectric generating capacity flexible model;

Determining a third peak shaver capacity of the low-risk hydroelectric generating set and a fourth peak shaver capacity of the medium-risk hydroelectric generating set;

and adjusting the first hydroelectric generating set generating schedule according to the difference value of the first peak shaving requirement and the first peak shaving capacity, the third peak shaving capacity and the fourth peak shaving capacity to obtain a second hydroelectric generating set generating schedule.

Further, in an embodiment of the present invention, the step of adjusting the first wind turbine generator system generating schedule according to the difference between the first peak shaving requirement and the first sum value to obtain a second wind turbine generator system generating schedule specifically includes:

and distributing the difference value between the first peak shaving demand and the first sum value to each wind turbine according to the power generation of each wind turbine, and adjusting the power generation plan of the first wind turbine according to the distribution result to obtain a power generation plan of the second wind turbine.

In a second aspect, an embodiment of the present invention provides a peak shaving and scheduling system for an electric power system, including:

the first power generation plan determining module is used for obtaining the hydroelectric power generation amount, determining a first optimization model according to the hydroelectric power generation amount, and determining a first power generation plan according to the first optimization model;

The peak shaving demand determining module is used for determining a first peak shaving demand of each preset period of the power system according to the first power generation plan;

the peak regulation capacity determining module is used for determining the first peak regulation capacity of the thermal power unit and the second peak regulation capacity of the hydroelectric power unit;

the peak regulation scheduling and power generation plan adjusting module is used for scheduling a thermal power unit, a hydroelectric unit and a wind power unit to carry out peak regulation according to the first peak regulation requirement, the first peak regulation capacity and the second peak regulation capacity, and adjusting the first power generation plan according to a peak regulation result to obtain a second power generation plan;

In a third aspect, an embodiment of the present invention provides a peak shaving and scheduling device for an electric power system, including:

at least one processor;

at least one memory for storing at least one program;

the at least one program, when executed by the at least one processor, causes the at least one processor to implement a power system peak shaver scheduling method as described above.

In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, in which a processor executable program is stored, where the processor executable program is used to perform a power system peak shaver scheduling method as described above when executed by a processor.

The advantages and benefits of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

According to the embodiment of the invention, a first power generation plan is obtained according to a first optimization model with the minimum depth peak shaving amount as a target, then a first peak shaving requirement of a power system, a first peak shaving capacity of a thermal power unit and a second peak shaving capacity of a hydroelectric power unit are determined, the thermal power unit, the hydroelectric power unit and the wind power unit are scheduled to carry out peak shaving according to the peak shaving requirement and the peak shaving capacity of the unit, and meanwhile, the first power generation plan is adjusted to obtain a second power generation plan. The embodiment of the invention fully considers the operation characteristics of various power supplies in the water, fire and wind power system, adopts a staged optimization mode, and can orderly connect and reduce the power generation cost of the thermal power unit, promote the clean energy consumption and other multi-aspect targets, so that various power supplies in the power system are reasonably subjected to peak regulation and scheduling, the power generation cost of the thermal power unit is reduced, the clean energy consumption is promoted to the greatest extent, the utilization rate of water and electricity resources and wind power resources is improved, the environmental pollution is reduced, and the stability of the power system is also improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will refer to the drawings that are needed in the embodiments of the present invention, and it should be understood that the drawings in the following description are only for convenience and clarity to describe some embodiments in the technical solutions of the present invention, and other drawings may be obtained according to these drawings without any inventive effort for those skilled in the art.

Fig. 1 is a flowchart of steps of a peak shaving scheduling method of an electric power system according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a flexible model of stepped hydro-power generation capacity provided by an embodiment of the invention;

fig. 3 is an overall flow diagram of a peak shaving scheduling method for an electric power system according to an embodiment of the present invention;

fig. 4 is a block diagram of a peak shaver dispatching system of an electric power system according to an embodiment of the present invention;

fig. 5 is a block diagram of a peak shaver and dispatching device for an electric power system according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention. The step numbers in the following embodiments are set for convenience of illustration only, and the order between the steps is not limited in any way, and the execution order of the steps in the embodiments may be adaptively adjusted according to the understanding of those skilled in the art.

In the description of the present invention, the plurality means two or more, and if the description is made to the first and second for the purpose of distinguishing technical features, it should not be construed as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the precedence of the indicated technical features. Furthermore, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art.

Referring to fig. 1, an embodiment of the present invention provides a peak shaving scheduling method for an electric power system, including the following steps:

s101, acquiring hydroelectric power generation capacity, determining a first optimization model according to the hydroelectric power generation capacity, and determining a first power generation plan according to the first optimization model;

the first optimization model is an optimization model with the minimum depth peak shaving amount as a target.

Specifically, in the optimal scheduling of the electric power system, the hydroelectric power generation capacity is used as key input boundary data of the cascade hydropower, and the data are obtained by quantitative analysis of the cascade hydropower scheduling according to weather prediction and cascade hydropower upstream and downstream matching characteristics. Particularly, due to the influence of factors such as precipitation and the like, the urgent degree of the solar power generation amount of the cascade hydropower is different, so that the flexible modeling concept is introduced in the embodiment of the invention, and the allowable deviation degree of the solar power generation amounts of the different cascade hydropower is quantified from the perspective of guaranteeing the water power consumption. The step S101 specifically includes the following steps:

S1011, obtaining hydroelectric power generation capacity, and establishing a cascade hydroelectric power generation capacity flexible model according to the hydroelectric power generation capacity;

specifically, the flexible model of the step hydroelectric power generation amount according to the embodiment of the present invention is composed of the operational solar power generation amount range and the importance coefficient under different power generation amounts, and for simplifying the description process, the flexible model of the solar power generation amount according to the embodiment of the present invention adopts a primary function form, as shown in fig. 2, which is a schematic diagram of the flexible model of the step hydroelectric power generation amount according to the embodiment of the present invention, and the model may be expressed as:

I _h ＝a _h E _h +b _h (1)

in the formulae (1) to (3), E _h Indicating the daily power generation capacity of the hydroelectric generating set h, I _h Represents the importance coefficient of the hydroelectric generating set h, I _h To take on a positive number in the range of 0 to 1, a _h And b _h Respectively representing the first order term coefficient and the constant term coefficient in the flexible model,

and->

Respectively represent an upper limit value and a lower limit value of solar power generation amount set according to the running requirement of the step hydropower>

And->

The upper and lower limit values of the importance coefficient of the hydroelectric generating set h are respectively shown.

It can be understood that if the primary term coefficient is greater than 0, the higher the daily power generation amount is, the higher the importance is, which indicates that the step hydroelectric generating set is expected to generate as much power as possible according to the water and electricity absorption requirement; conversely, it is indicated that the step hydroelectric generating set is expected to generate as little power as possible. In particular, if a hydroelectric power generating unit having a large risk of water abandoning is required to generate full power, the daily power generation amount is equal in upper and lower limit values, and the daily power generation amount is the power generation amount at the maximum power generation capacity throughout the day.

S1012, determining importance coefficients of all hydroelectric generating sets according to the cascade hydroelectric generating capacity flexible model;

specifically, according to the stepped hydro-power generation amount flexible model established in the above step S1011, the importance coefficient of each hydro-power generation unit can be obtained in the case of determining the daily power generation amount.

S1013, determining a first optimization model according to the importance coefficient, and determining a first power generation plan according to the first optimization model;

Specifically, according to the importance coefficient of each hydroelectric generating set and the cascade hydroelectric generating capacity flexible model, on the basis of not considering the depth peak shaving of the thermal power generating set, a first optimization model is established by taking the minimum depth peak shaving as an optimization target, and an initial first power generation plan is optimized and determined.

Further as an alternative embodiment, the first optimization model includes a first objective function that minimizes the depth peaking, and a first constraint, the first objective function being:

Optionally, the first constraint is as follows:

wherein NC, NH, NW, NB respectively represents the total number of thermal power units, the total number of hydroelectric units, the total number of wind power units and the total number of load nodes in the power system, NT represents the total optimized time period number, deltaT represents the time period interval, and P _c,t 、P _h,t 、P _w,t The power generation power of the thermal power generating unit c, the hydroelectric generating unit h and the wind generating unit w in the period t is sequentially represented, and P _b,t Representing the load demand of load node b during period t, PN _t Representing the peak shaver demand for the period t,

the upper and lower limits of the tide of the running section s are respectively represented by GSDF _s,c 、GSDF _s,h 、GSDF _s,w 、GSDF _s,b Sequentially representing tidal current transfer distribution factors of a thermal power unit c, a hydroelectric generating set h, a wind generating set w, a load node b and an operation section s, < >>

Respectively representing the maximum technical output and the minimum output which can be achieved by the basic peak regulation service of the thermal power unit c,/I>

Respectively represents the upper limit value and the lower limit value of the climbing capacity of the thermal power unit c,

respectively represent the upper and lower limit values of the output of the hydroelectric generating set h.

Specifically, the optimization target mainly considers peak regulation requirement minimization, and meanwhile, the cascade hydroelectric power generation capacity is required to be within the flexible model range, so as to meet the power generation wish as far as possible, and alpha ₁ 、α ₂ Optimizing the target item weight coefficient for the two aspects and meeting α ₁ >α ₂ . The constraint conditions are electric power balance constraint, running section constraint, thermal power unit power output capability constraint, thermal power unit climbing capability constraint, step hydroelectric power output capability constraint, step hydroelectric power quantity constraint, step hydroelectric power generation amount and importance relation constraint, step hydroelectric power generation amount constraint, step hydroelectric importance constraint and peak regulation requirement value range constraint in sequence.

The first optimization model is essentially a linear programming problem, and can be obtained by directly solving the linear programming problem through a programming method such as a simplex method, and the like, and will not be described herein. The planned power generation of each thermal power unit, each hydroelectric generating set and each wind generating set can be obtained by solving the first optimization model, so that a first thermal power unit power generation plan, a first hydroelectric generating set power generation plan and a first wind generating set power generation plan are obtained.

S102, determining a first peak shaving requirement of each preset period of the power system according to a first power generation plan;

specifically, according to the optimization result of the first optimization model, if the peak shaving requirement exists in a certain period of time, the peak shaving requirement is met by means such as deep peak shaving of the thermal power unit; if no peak shaving requirement exists in any period, various power supply power generation plans can be obtained by adopting a traditional economic dispatching method to optimize and solve, and the peak shaving requirement exists more or less in general implementation. The decision formula can be expressed as:

The formula (6) is a judging formula of peak shaving demands, and if a certain period of time meets the formula, the peak shaving demands are indicated to exist, and peak shaving dispatching optimization is needed; otherwise, no peak regulation requirement exists, the first optimization model is effectively equivalent to a traditional economic dispatch model, and the power generation plans corresponding to the thermal power generating unit, the hydroelectric generating unit and the wind generating unit are the optimization results of the traditional economic dispatch model and are directly output.

After optimizing according to the first optimization model to obtain the first power generation plan, the method canThe peak shaving requirement values of each period and each period when the peak shaving requirement exists are determined and recorded as the first peak shaving requirement. It can be appreciated that since PN has been defined _t Representing peak shaving demand of time period t, after solving the first optimization model, satisfying peak shaving demand PN of time period t of formula (6) _t Namely, the first peak shaving requirement is obtained, the specific value of the peak shaving requirement can be obtained according to the optimization result of the first optimization model, and PN is adopted in the following description _t Continuing to represent the first peak shaver demand for the period t.

S103, determining the first peak shaving capacity of the thermal power unit and the second peak shaving capacity of the hydroelectric power unit;

specifically, according to the peak shaving characteristic of the thermal power generating unit, the operation cost function of the thermal power generating unit in the peak shaving process can be determined, and the operation cost function can be expressed as follows:

In formula (7), w _c (P) represents the running cost function of the thermal power unit c, P represents the power generation of the thermal power unit, w _c,coal (P)、w _c,equ (P)、w _c,oil (P) respectively represents the coal consumption cost, the equipment loss cost and the oil feeding stable combustion cost of the thermal power unit under different power generation powers,

indicating the maximum technical output, P of the coal-fired unit _c ^BP Representing the minimum power generation corresponding to the basic peak shaver, < ->

Represents the minimum power generation output which can be achieved without oil feeding deep regulation, P _c ^OP The minimum power generation output achieved by deep oil injection adjustment is shown. The coal consumption cost, the equipment loss cost and the oil feeding stable combustion cost can be approximately represented by quadratic functions and the like. The maximum depth peak shaving capability provided by the thermal power generating unit in the power system can be expressed as follows:

in the formula (8), PA represents the maximum depth peak shaving capability provided by the thermal power generating unit in the power system, namely the first peak shaving capability.

If the maximum depth peak regulation capability provided by the thermal power generating unit exceeds the peak regulation requirement of each period, the fact that the power grid peak regulation requirement can be met through thermal power depth peak regulation is indicated, and a second optimization model considering the depth peak regulation is directly constructed; otherwise, the generating plans of the hydroelectric generating set and the wind generating set need to be adjusted. The decision formula can be expressed as:

PA≥PN _t (9)

if any period of the whole day meets the judgment condition of the formula (9), the optimization of the second optimization model can be directly carried out; otherwise, the peak regulation requirement of clean energy is indicated, and the peak regulation scheduling of the hydroelectric generating set and the wind generating set is also needed to be considered.

For any period t when there is a clean energy peak shaving demand, the total step hydroelectric power generation output can be expressed as the sum of the planned power generation of all step hydroelectric generating sets, and can be expressed as:

wherein P is _h,t Represents the power generation, PH, of the hydroelectric generating set h in the period t _t I.e. the second peak shaver capacity of the hydroelectric generating set.

And S104, dispatching the thermal power unit, the hydroelectric power unit and the wind power unit to carry out peak regulation according to the first peak regulation requirement, the first peak regulation capacity and the second peak regulation capacity, and adjusting the first power generation plan according to the peak regulation result to obtain a second power generation plan.

Specifically, according to the magnitude relation among the first peak shaving requirement, the first peak shaving capacity and the second peak shaving capacity, the thermal power unit, the hydroelectric generating unit and the wind generating unit are dispatched to carry out peak shaving, and the adjusted second power generation plan is obtained. The second power generation schedule includes a second thermal power generation unit power generation schedule, a second hydroelectric power generation unit power generation schedule, and a second wind power generation unit power generation schedule. Step S104 specifically includes the following three embodiments:

first, a first embodiment A1 of step S104 will be described.

A1, if the first peak regulation requirement is less than or equal to the first peak regulation capacity, the thermal power unit is scheduled to regulate the peak, and a second thermal power unit power generation plan is obtained according to the first hydroelectric power unit power generation plan, the first wind power unit power generation plan and the second optimization model;

The second optimization model is an optimization model with the lowest running cost of the thermal power unit as a target.

Specifically, if any period of the whole day meets the judgment condition of the formula (9), that is, the first peak shaving requirement is smaller than or equal to the first peak shaving capability, the thermal power generating unit can be directly scheduled to carry out peak shaving. And according to the obtained first hydroelectric generating set generating plan and the first wind generating set generating plan, taking the lowest running cost of the thermal power generating set as an optimization target, and taking the running constraint of the power system into consideration, constructing a second optimization model taking the deep regulating characteristic of the thermal power into consideration.

Further as an optional implementation manner, the second optimization model includes a second objective function and a second constraint condition for minimizing the running cost of the thermal power generating unit, the second constraint condition includes an electric power balance constraint, a running section constraint, a thermal power generating unit capacity constraint and a thermal power generating unit climbing capacity constraint, and the second objective function is as follows:

Alternatively, the second constraint may be described as:

constraint conditions shown in the formula (12) are electric power balance constraint, operation section constraint, thermal power unit output capacity constraint and thermal power unit climbing capacity constraint in sequence, wherein all relevant parameters are described in other parts of the specification. The model essentially belongs to the mixed integer nonlinear programming problem, can be solved by adopting a GAMS optimization platform, and the solving process is not repeated here.

It should be understood that, by solving the second optimization model, the power generation plan of the thermal power generating unit after peak shaving and scheduling can be obtained, that is, the power generation plan of the second thermal power generating unit, and in the embodiment of the invention, since only the thermal power generating unit is required to carry out peak shaving, the power generation plans of the hydroelectric generating unit and the wind generating unit are not adjusted, that is, the power generation plan of the second hydroelectric generating unit is the same as the power generation plan of the first hydroelectric generating unit, and the power generation plan of the second wind generating unit is the same as the power generation plan of the first wind generating unit.

The second embodiment A2 of step S104 is as follows:

a2, determining that the first peak shaving requirement is larger than the first peak shaving capacity, and the first peak shaving requirement is smaller than or equal to a first sum value, scheduling the thermal power generating unit and the hydroelectric generating unit to carry out peak shaving, adjusting the power generation plan of the first hydroelectric generating unit according to the difference value of the first peak shaving requirement and the first peak shaving capacity to obtain a second hydroelectric generating unit power generation plan, and further obtaining a second thermal power generating unit power generation plan according to the second hydroelectric generating unit power generation plan, the first wind generating unit power generation plan and a second optimization model;

the second optimization model is an optimization model with the lowest running cost of the thermal power unit as a target, and the first sum value is the sum value of the first peak regulation capacity and the second peak regulation capacity.

Specifically, if it is determined that a period exists in which the thermal power depth peak shaving cannot meet the peak shaving requirement, it is indicated that the generating schedule of the hydroelectric generating set or the wind generating set needs to be further adjusted to meet the peak shaving requirement. According to the principle of clean energy consumption, the wind power priority is higher than that of step hydropower, and therefore the generating schedule of the hydroelectric generating set must be adjusted preferentially. For the period that the thermal power depth peak shaving capability cannot meet the system peak shaving requirement, the clean energy power generation plan adjustment requirement is the difference between the first peak shaving requirement and the first peak shaving capability, and can be expressed as:

in the formula (13), the amino acid sequence of the compound,

and the peak regulation requirement which is needed to be borne by clean energy sources such as a hydroelectric generating set, a wind generating set and the like in the period t is represented.

If the total power generation output of the step hydropower is greater than or equal to the adjustment requirement of the clean energy power generation plan in the period, the peak regulation requirement can be met by adjusting the total power generation output of the step hydropower, otherwise, the deficiency part is born by the wind turbine generator. The peak shaving requirements that the hydroelectric generating set needs to bear can be expressed as:

in the method, in the process of the invention,

peak shaving requirements to be borne by the step hydroelectric generating set in the period t.

The judging formula of whether the hydroelectric generating set can bear the peak shaving requirement of clean energy can be expressed as follows:

/>

if the judging condition of the formula (15) is met, the fact that the hydroelectric generating set can bear the clean energy peak shaving requirement is indicated, namely, the fact that the first peak shaving requirement is larger than the first peak shaving capacity and smaller than or equal to the first sum value is confirmed, and then the thermal power generating set and the hydroelectric generating set are scheduled to carry out peak shaving.

Further as an optional implementation manner, the step of adjusting the first hydroelectric generating set power generation plan according to the difference between the first peak shaving requirement and the first peak shaving capability to obtain the second hydroelectric generating set power generation plan specifically includes:

a21, dividing the hydroelectric generating set into a high-risk hydroelectric generating set, a medium-risk hydroelectric generating set and a low-risk hydroelectric generating set according to the cascade hydroelectric generating capacity flexible model;

specifically, the hydroelectric generating set should adjust the power generation plan according to the water discarding risk. According to the primary term coefficient difference in the flexible model of the step hydroelectric power generation amount, the step hydroelectric generating set can be divided into three categories of high risk, medium risk and low risk. The high risk is full of all the days, and the corresponding primary item coefficient is 0; the hydroelectric generating set with the medium risk corresponding to the primary term coefficient being positive value is expected to generate step hydroelectric as much as possible; a hydroelectric generating set with a low risk corresponding to a primary term coefficient of a negative value, namely, a step hydroelectric generating as little power as possible is expected. Definition of Low risk hydroelectric generating set composition set H ₁ The medium-risk hydroelectric generating set forms a set H ₂ High-risk hydroelectric generating set forming set H ₃ 。

A22, determining the third peak shaving capacity of the low-risk hydroelectric generating set and the fourth peak shaving capacity of the medium-risk hydroelectric generating set;

Specifically, following the three-public scheduling principle, in order to ensure the cascade hydropower absorption, the peak regulation requirement is required to be borne according to the order from low risk to high risk, and the hydropower of the same type is apportioned according to the principle of equal load rate. The maximum adjustment amount that various step hydroelectric generating sets can bear in the time period is the sum of the power generation plans, and can be respectively expressed as:

in the formulae (16) to (18),

respectively represent the maximum peak shaving demands which can be borne by the low-risk, medium-risk and high-risk hydroelectric generating sets, namely +.>

Representing third peak shaver capacity,/->

Represents the fourth peak shaving capacity, H E H ₁ 、h∈H ₂ 、h∈H ₃ Respectively represent the water and electricity unit collection belonging to low risk, medium risk and high risk.

A23, adjusting the power generation plan of the first hydroelectric generating set according to the difference value between the first peak shaving requirement and the first peak shaving capacity, the third peak shaving capacity and the fourth peak shaving capacity to obtain a power generation plan of the second hydroelectric generating set.

Specifically, in this embodiment, the hydro-electric machine set may bear the peak shaving requirement of clean energy, so that the difference between the first peak shaving requirement and the first peak shaving capacity is the peak shaving requirement that the hydro-electric machine set needs to bear, that is

Step a23 specifically includes the following three embodiments:

b1, if the peak shaving requirement born by the hydroelectric generating set is smaller than or equal to the maximum peak shaving requirement born by the low-risk hydroelectric generating set, the peak shaving requirement is satisfied:

The peak shaving requirement is only borne by the low-risk hydroelectric generating set, and the power generation plans of the medium-risk hydroelectric generating set and the high-risk hydroelectric generating set are not adjusted. The adjustment requirements required by each low-risk hydroelectric generating set are apportioned according to the initial power generation plan equal proportion of the period, and the adjusted power generation plan of the low-risk hydroelectric generating set can be expressed as follows:

in the formula (20), the amino acid sequence of the compound,

respectively representing the power generation plans of the hydroelectric generating set h time period t before and after adjustment.

B2, if the peak shaving requirement required to be born by the hydroelectric generating set exceeds the maximum peak shaving requirement capable of being born by the low-risk hydroelectric generating set and is smaller than or equal to the sum of the maximum peak shaving requirements capable of being born by the low-risk hydroelectric generating set and the medium-risk hydroelectric generating set (namely, the sum of the third peak shaving capability and the fourth peak shaving capability), namely, the peak shaving requirement is satisfied:

the power generation plan of the low-risk hydroelectric generating set in the period is firstly adjusted to be 0, on the basis, the shortage is shared by the medium-risk hydroelectric generating set according to the same proportion as the initial power generation plan, and the power generation plan of the high-risk hydroelectric generating set is not adjusted. The adjusted low risk, medium risk hydroelectric generating set generation plan can be expressed as:

and B3, if the peak shaving requirement required to be born by the hydroelectric generating set exceeds the maximum peak shaving requirement required to be born by the low-risk and medium-risk hydroelectric generating set, the peak shaving requirements are met:

The power generation plans of the low-risk hydroelectric generating set and the medium-risk hydroelectric generating set in the period are all adjusted to 0, on the basis, the shortfall is shared by the high-risk hydroelectric generating set according to the initial power generation plan equal proportion, and the adjusted power generation plan of the hydroelectric generating set can be expressed as:

in the formula, H is H ₁ ∪h∈H ₂ Representing a collection of hydroelectric generating sets belonging to low and medium risk.

In the embodiment of the invention, the generation plan of the wind turbine generator is not required to be adjusted, the adjusted generation plan of the hydroelectric generating set (namely, the generation plan of the second hydroelectric generating set) can be directly used as boundary data to replace the generation plan of the first hydroelectric generating set, a second optimization model considering the peak shaving characteristic of the thermal power is constructed by adopting a method similar to the step A1, and the generation plan of the second thermal power generating set can be obtained by solving.

Finally, the third embodiment A3 of step S104 is described as follows:

a3, if the first peak shaving demand is greater than the first sum value, dispatching the thermal power unit, the hydroelectric generating set and the wind generating set to carry out peak shaving, adjusting the first wind generating set generating schedule according to the difference value of the first peak shaving demand and the first sum value to obtain a second wind generating set generating schedule, adjusting the first hydroelectric generating set generating schedule according to the second wind generating set generating schedule to obtain a second hydroelectric generating set generating schedule, and obtaining a second thermal power generating set generating schedule according to the second hydroelectric generating set generating schedule, the second wind generating set generating schedule and a second optimizing model;

Specifically, a formula for judging whether the hydroelectric generating set can bear the clean energy peak shaving requirement is shown in a formula (15), if the judging condition of the formula (15) is not satisfied, the hydroelectric generating set cannot bear all the clean energy peak shaving requirements, namely, if the first peak shaving requirement is determined to be larger than a first sum value, the thermal power generating set, the hydroelectric generating set and the wind generating set are scheduled to carry out peak shaving.

In the embodiment of the invention, the hydroelectric generating set needs to bear the maximum peak shaving demand which can be borne by the hydroelectric generating set, namely, the peak shaving amount which bears the second peak shaving capacity fully. The peak shaving requirement of the wind turbine generator can be expressed as the difference between the total peak shaving requirement of the clean energy and the peak shaving output of the hydroelectric turbine generator, and can be expressed as:

in the method, in the process of the invention,

and the period t is represented by the peak regulation requirement which is required to be borne by the wind turbine due to the limited adjustment capability of the generating schedule of the wind turbine.

In the embodiment of the invention, a second wind turbine generator generating plan is obtained after the generating plan of the wind turbine generator is adjusted, then the generating plan of the hydroelectric turbine generator is adjusted to obtain the second hydroelectric turbine generator generating plan, the second wind turbine generator generating plan and the second hydroelectric turbine generator generating plan are used as boundary data to replace the first wind turbine generator generating plan and the first hydroelectric turbine generator generating plan, a second optimization model considering the thermal power peak regulation characteristic is constructed by adopting a method similar to the step A1, and the second thermal power generating plan can be obtained by solving.

Further as an optional implementation manner, the step of adjusting the first wind turbine generator generation plan according to the difference between the first peak shaving requirement and the first sum value to obtain the second wind turbine generator generation plan specifically includes:

and distributing the difference value of the first peak shaving requirement and the first sum value to each wind turbine according to the power generation of each wind turbine, and adjusting the power generation plan of the first wind turbine according to the distribution result to obtain a power generation plan of the second wind turbine.

Specifically, to satisfy the three-common scheduling principle. The adjustment of the power generation plans of the wind turbines is executed according to the mode of equal load rate, namely, each wind turbine bears peak regulation demands according to equal proportion of the power generation plans at the moment, and the adjusted power generation plans of the wind turbines can be expressed as follows:

in the formula (26), the amino acid sequence of the compound,

respectively representing the power generation plans of the w time period t of the wind turbine before and after adjustment,/>

I.e. the second wind turbine generator system generation schedule.

And (3) after the adjusted second wind turbine generator generating schedule is obtained, adjusting the generating schedule of the hydroelectric generating set, replacing the first wind turbine generator generating schedule and the first hydroelectric generating schedule in the step A1 with the second wind turbine generator generating schedule and the second hydroelectric generating schedule, constructing a second model considering the thermal power peak regulation characteristic by adopting a method similar to the method in the step A1, and solving to obtain the second thermal power generating unit generating schedule.

Having described various embodiments of the method of the present invention, the overall flow of the method is further described below with reference to the accompanying drawings.

Referring to fig. 3, a first optimization model, namely a depth peak shaving demand optimization model based on hydropower generation capacity constraint flexible modeling is firstly constructed, and the optimization objective of the model is to enable the peak shaving demand to be minimum, and optimization is carried out through the first optimization model; then, performing first judgment, wherein the judgment condition is referred to a formula (6), the judgment can determine whether peak shaving requirements exist, and if peak shaving requirements do not exist in any period, the optimization result of the first optimization model can be directly output to obtain the power generation plans of all units; if the first judgment result shows that the peak shaving requirement exists, the second judgment is needed, the judgment condition is referred to as a formula (9), whether the thermal power unit can bear all the peak shaving requirements or not can be determined by the judgment, if the judgment result shows that the peak shaving requirement exists, a second optimization model considering the thermal power deep shaving characteristic is directly established, the first hydroelectric generating set power generation plan and the first wind generating set power generation plan obtained by the first optimization model are used as boundary data as input, and the adjusted second thermal power generating set power generation plan can be obtained, so that the peak shaving scheduling is completed; if the second judgment result is negative, a third judgment is needed, the judgment condition is referred to as a formula (15), the judgment can determine whether the hydroelectric generating set can bear all clean energy peak shaving demands, if so, the first hydroelectric generating set generating plan is adjusted according to the peak shaving demands required to be borne by the hydroelectric generating set to obtain a second hydroelectric generating set generating plan, and then the second hydroelectric generating set generating plan and the first wind generating set generating plan are used as boundary data to input a second optimization model to obtain a second thermal generating set generating plan, so that peak shaving scheduling is completed; if the third judging result is negative, the wind turbine generator is required to participate in peak shaving, the first wind turbine generator generating schedule is adjusted according to the peak shaving requirement required to be born by the wind turbine generator to obtain a second wind turbine generator generating schedule, the first hydroelectric turbine generator generating schedule is adjusted according to the peak shaving requirement required to be born by the hydroelectric turbine generator to obtain a second hydroelectric turbine generator generating schedule, and then the second hydroelectric turbine generator generating schedule and the second wind turbine generator generating schedule are used as boundary data to be input into a second optimization model to obtain a second thermal power generating schedule, so that peak shaving is completed.

From the above, the invention has the following advantages:

(1) The adoption of the layered judging mode for multi-objective optimization ensures that the optimizing result is strictly consistent with the calling sequence of various power supplies, ensures reasonable peak regulation and scheduling of various power supplies, reduces the power generation cost of the thermal power unit, simultaneously promotes the consumption of clean energy to the greatest extent, improves the utilization rate of hydroelectric resources and wind power resources, and reduces the pollution to the environment.

(2) The operation characteristics of the step hydroelectric generating set are fully considered, the flexible model of the step hydroelectric generating capacity is established, the power generating cost of the thermal power generating set can be orderly connected, the various targets such as clean energy consumption and the like are promoted, and the stability of the power system is improved.

Referring to fig. 4, an embodiment of the present invention provides a peak shaver and dispatching system of a power system, including:

the first power generation plan determining module is used for acquiring the hydroelectric power generation amount, determining a first optimization model according to the hydroelectric power generation amount, and determining a first power generation plan according to the first optimization model;

the peak shaving demand determining module is used for determining first peak shaving demands of each preset period of the power system according to the first power generation plan;

The peak regulation scheduling and power generation plan adjusting module is used for scheduling the thermal power unit, the hydroelectric power unit and the wind power unit to carry out peak regulation according to the first peak regulation requirement, the first peak regulation capacity and the second peak regulation capacity, and adjusting the first power generation plan according to the peak regulation result to obtain a second power generation plan;

The content in the method embodiment is applicable to the system embodiment, the functions specifically realized by the system embodiment are the same as those of the method embodiment, and the achieved beneficial effects are the same as those of the method embodiment.

Referring to fig. 5, an embodiment of the present invention provides a peak shaver and dispatching device for an electric power system, including:

at least one processor;

at least one memory for storing at least one program;

The content in the method embodiment is applicable to the embodiment of the device, and the functions specifically realized by the embodiment of the device are the same as those of the method embodiment, and the obtained beneficial effects are the same as those of the method embodiment.

The embodiment of the invention also provides a computer readable storage medium, in which a processor executable program is stored, which when executed by a processor is used for executing the above-mentioned power system peak shaver scheduling method.

The computer readable storage medium of the embodiment of the invention can execute the power system peak regulation scheduling method provided by the embodiment of the method of the invention, and can execute any combination implementation steps of the embodiment of the method, thereby having the corresponding functions and beneficial effects of the method.

Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the method shown in fig. 1.

In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.

Furthermore, while the present invention has been described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the functions and/or features described above may be integrated in a single physical device and/or software module or one or more of the functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the invention, which is to be defined in the appended claims and their full scope of equivalents.

The above functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or a part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the above-described method of the various embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium upon which the program described above is printed, as the program described above may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

In the foregoing description of the present specification, reference has been made to the terms "one embodiment/example", "another embodiment/example", "certain embodiments/examples", and the like, means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.

While the preferred embodiment of the present invention has been described in detail, the present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present invention, and these equivalent modifications and substitutions are intended to be included in the scope of the present invention as defined in the appended claims.

Claims

1. The peak regulation scheduling method for the power system is characterized by comprising the following steps of:

The first optimization model is an optimization model with minimum depth peak shaving amount as a target;

the step of obtaining the hydroelectric power generation amount, determining a first optimization model according to the hydroelectric power generation amount, and determining a first power generation plan according to the first optimization model specifically comprises the following steps:

the first power generation plan comprises a first thermal power generating unit power generation plan, a first hydroelectric generating unit power generation plan and a first wind generating unit power generation plan;

the second power generation plan includes a second thermal power generating unit power generation plan, a second hydroelectric generating unit power generation plan and a second wind generating unit power generation plan, and the step of dispatching the thermal power generating unit, the hydroelectric generating unit and the wind generating unit to carry out peak shaving according to the first peak shaving requirement, the first peak shaving capacity and the second peak shaving capacity, and adjusting the first power generation plan according to peak shaving results to obtain the second power generation plan specifically includes:

or alternatively, the first and second heat exchangers may be,

2. The power system peak shaver scheduling method according to claim 1, wherein the first optimization model comprises a first objective function and a first constraint condition for minimizing the depth peaking amount, and the first objective function is:

3. The power system peak shaving scheduling method according to claim 1, wherein the second optimization model comprises a second objective function and a second constraint condition, wherein the second constraint condition comprises a power balance constraint, an operation section constraint, a thermal power unit output capacity constraint and a thermal power unit climbing capacity constraint, and the second objective function is that:

4. The method for peak shaver and dispatching of electric power system according to claim 1, wherein said step of adjusting the first hydroelectric generating set generating schedule according to the difference between the first peak shaver demand and the first peak shaver capacity to obtain a second hydroelectric generating set generating schedule specifically comprises:

5. The method for peak shaver and dispatching of electric power system according to claim 1, wherein the step of adjusting the first wind turbine generator generation plan according to the difference between the first peak shaver demand and the first sum value to obtain a second wind turbine generator generation plan comprises the following steps:

6. A peak shaver dispatching system for an electric power system, comprising:

The first power generation plan determining module is specifically configured to:

the second power generation plan comprises a second thermal power generating unit power generation plan, a second hydroelectric generating unit power generation plan and a second wind generating unit power generation plan, and the peak shaving scheduling and power generation plan adjusting module is specifically used for:

or alternatively, the first and second heat exchangers may be,

Or alternatively, the first and second heat exchangers may be,

7. A peak shaver dispatching device for an electric power system, comprising:

at least one processor;

at least one memory for storing at least one program;

when the at least one program is executed by the at least one processor, the at least one processor is caused to implement a power system peak shaver scheduling method as set forth in any one of claims 1-5.

8. A computer readable storage medium, in which a processor executable program is stored, characterized in that the processor executable program when being executed by a processor is for performing a power system peak shaver scheduling method according to any one of claims 1-5.