Calculation method for optimal proportion of photo-thermal, photovoltaic and wind power in energy base
By using linear programming mathematical models and dual simplex algorithms in energy bases, the capacity configuration of photothermal, photovoltaic and wind power is optimized, and the performance degradation and grid uncertainty caused by the existing proportioning methods are solved, and more accurate Optimal ratio and cost reduction.
Patent Information
- Application Number
- CN202411108337.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-13
- Publication Date
- 2024-12-06
AI Technical Summary
In energy bases, the existing distribution methods of photothermal, photovoltaic and wind power have led to degradation in the performance of photothermal power stations and uncertain grid scheduling, and lack of effective optimal distribution calculation methods.
A calculation method is adopted, including obtaining the hourly electricity consumption requirements, calculating the output coefficients of photothermal, photovoltaic and wind power, and through linear planning mathematical models, combining dual simplex algorithms, optimizing the capacity configuration of photothermal, photovoltaic and wind power, and determining the Optimal ratio.
Through scientific and rigorous mathematical optimization model, more accurate optimal ratios of photothermal, photovoltaic and wind power are obtained, which reduces investment costs and improves the scheduling reliability of the power grid.
Smart Images
Figure CN119090194A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of solar thermal power generation, and in particular to a method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base. Background Art
[0002] Tower CSP not only has the advantage of low power generation cost, but also can generate electricity 24 hours a day compared to photovoltaic power generation. The principle of tower CSP is that thousands of heliostats are arranged in different geometric shapes around the heat absorbing tower, reflecting a large amount of low-density solar energy to the heat absorber at the top of the heat absorbing tower to turn it into high-density solar energy, which is then converted into working fluid heat energy. At the same time, tower CSP technology can be used for oil extraction, hydrogen production, etc.
[0003] In the past decade, CSP has developed rapidly, setting off a new wave of investment and construction around the world. The total installed capacity of global solar CSP has continued to rise, and the installed capacity has exploded. The solar CSP industry is showing a booming development. In order to maintain the competitiveness of CSP and give full play to its advantages in energy storage and peak regulation, CSP technology providers have begun to pay more and more attention to the performance improvement and standardization of power stations and to reduce the cost of power generation through large-scale deployment. At the same time, in recent years, in order to support the development of new energy such as CSP, a batch of large energy base projects, namely wind power, photovoltaic and CSP comprehensive demonstration parks, namely energy bases, have been introduced in recent years. However, the cost of CSP remains high, more than three times the cost of photovoltaics. As of now, some regions have used wind power, photovoltaic and heat storage CSP to meet the new electricity demand of the park. The ratio of photovoltaic to CSP is 9:1 or 6:1; the ratio of wind power to CSP is calculated as 9x (average utilization hours of regional photovoltaics in the previous year / average utilization hours of wind power): 1, and in principle does not exceed 6:1. This ratio will lead to a significant reduction in the output performance of the solar thermal power station, and will also create great uncertainty in the dispatch of the power grid.
[0004] Therefore, how to obtain the optimal ratio of wind power, photovoltaics and solar thermal energy in the energy base is becoming increasingly important, but there is currently no research in this regard. Summary of the invention
[0005] In order to solve the above technical problems, the present invention provides a method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base, so as to achieve the purpose of making the obtained optimal ratio more accurate.
[0006] To achieve the above object, the technical solution of the present invention is as follows:
[0007] A method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base comprises the following steps:
[0008] Step 1: According to the power demand of the energy base, obtain the minimum power Tmin required by the energy base every hour in a day j and maximum power Tmax j , j = 0, 1, 2, ..., 23;
[0009] Step 2: Calculate the output coefficient Kc of solar thermal, photovoltaic and wind power every hour of the day based on the actual electricity consumption of the energy base. j , Kp j , Kw j , j = 0, 1, 2, ..., 23; Kc j , Kp j , Kw j They are the output coefficients of solar thermal, photovoltaic and wind power in each hour of the day;
[0010] Step 3: According to the output characteristics of solar thermal, photovoltaic and wind power, photovoltaic, wind power and solar thermal are used to generate power simultaneously from 8:00 to 18:00 in the daytime, and solar thermal and wind power are used to generate power simultaneously from 19:00 to 7:00 the next day. A linear programming mathematical model is established:
[0011] minf(x,y,z)=Cost csp *x+Cost pv *y+Cost wind *z
[0012]
[0013] Among them, x refers to the capacity of solar thermal energy in one day; y refers to the capacity of photovoltaic energy in one day; z refers to the capacity of wind power in one day; Cost csp Refers to the comprehensive cost per unit capacity of solar thermal energy. pv Refers to the comprehensive cost of photovoltaic unit capacity; Cost wind Refers to the comprehensive cost of wind power per unit capacity; CP min Refers to the minimum value of the ratio of solar thermal capacity to photovoltaic capacity; CP max Refers to the maximum value of the ratio of solar thermal capacity to photovoltaic capacity; CW min Refers to the minimum ratio of solar thermal capacity to wind power capacity; CW max Refers to the maximum value of the ratio of solar thermal capacity to wind power capacity; f(x,y,z) is the objective function, which is the total investment cost of solar thermal, photovoltaic and wind power construction in the energy base;
[0014] Step 4: Use the dual simplex algorithm to solve the optimal capacity configuration x of solar thermal, photovoltaic and wind power in one day. min ,y min ,z min , so as to obtain the optimal ratio of solar thermal, photovoltaic and wind power, x min ,y min,z min They are the optimal capacity configurations for solar thermal, photovoltaic and wind power respectively.
[0015] In the above scheme, the output coefficient ranges from 0 to 1 and satisfies
[0016] In the above scheme, the dual simplex algorithm starts from a basic solution of the original plan and checks whether the basic solution of the original plan is feasible, that is, whether there is a negative component. If there is a component less than zero, it iterates to find another basic solution, which corresponds to another dual feasible solution; if the components of the basic solution obtained are all non-negative, then the basic solution is the optimal solution.
[0017] Through the above technical solution, the method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base provided by the present invention has the following beneficial effects:
[0018] Different from the traditional artificial setting of the ratio of solar thermal, photovoltaic and wind power, the present invention obtains the optimal ratio of wind power, photovoltaic and solar thermal through a linear programming optimization model based on the output characteristics, unit cost and actual needs of solar thermal, photovoltaic and wind power.
[0019] Based on the mathematical optimization model, more constraints can be added arbitrarily to obtain the optimal value, such as the output coefficient of wind, solar and thermal energy, cost, grid demand curve, etc. The optimal ratio obtained is more scientific and rigorous, and the result is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.
[0021] Figure 1 A schematic flow chart of a method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base disclosed in an embodiment of the present invention. DETAILED DESCRIPTION
[0022] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.
[0023] The present invention provides a method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base, such as Figure 1 As shown, the following steps are included:
[0024] Step 1: Based on the power demand of the energy base, frequency analysis is performed based on the usual statistical methods to obtain the grid-connected demand of the energy base every hour of the day or the minimum power required per hour when the energy base is operating in an isolated grid. jand maximum power Tmax j , j=0,1,2,...,23, the unit is MWh.
[0025] Step 2: Calculate the output coefficient Kc of solar thermal, photovoltaic and wind power every hour of the day based on the actual electricity consumption of the energy base. j , Kp j , Kw j , j = 0, 1, 2, ..., 23; Kc j , Kp j , Kw j They are the output coefficients of solar thermal, photovoltaic and wind power in each hour of the day; the output coefficient value range is between 0 and 1, and meets
[0026] Step 3: According to the output characteristics of solar thermal, photovoltaic and wind power, photovoltaic, wind power and solar thermal are used to generate power simultaneously from 8:00 to 18:00 in the daytime, and solar thermal and wind power are used to generate power simultaneously from 19:00 to 7:00 the next day. A linear programming mathematical model is established:
[0027] minf(x,y,z)=Cost csp *x+Cost pv *y+Cost wind *z
[0028]
[0029] Among them, x refers to the capacity of solar thermal energy in one day, in MW; y refers to the capacity of photovoltaic energy in one day, in MW; z refers to the capacity of wind power in one day, in MW; Cost csp Refers to the comprehensive cost of CSP per unit capacity (including power generation cost, start-up and shutdown cost, etc.); Cost pv Refers to the comprehensive cost of photovoltaic unit capacity (including power generation cost, start-up and shutdown cost, etc.); Cost wind Refers to the comprehensive cost of wind power per unit capacity (including power generation cost, start-up and shutdown cost, etc.); CP min Refers to the minimum ratio of CSP capacity to PV capacity (given the stability of CSP power generation and peak load regulation); CP max Refers to the maximum value of the ratio of solar thermal capacity to photovoltaic capacity (for construction cost considerations to prevent negative capital returns); CW min Refers to the minimum value of the ratio of solar thermal capacity to wind power capacity (considering the stability of solar thermal power generation and its peak load performance); CW max It refers to the maximum value of the ratio of solar thermal capacity to wind power capacity (for construction cost considerations, to prevent negative capital returns); f(x, y, z) is the objective function, which is the entire investment cost of solar thermal, photovoltaic and wind power construction in the energy base.
[0030] Step 4: Use the dual simplex algorithm to solve the optimal capacity configuration x of solar thermal, photovoltaic and wind power in one day. min ,y min ,z min , so as to obtain the optimal ratio of solar thermal, photovoltaic and wind power, x min ,y min ,z min They are the optimal capacity configurations for solar thermal, photovoltaic and wind power respectively.
[0031] The dual simplex algorithm starts from a basic solution of the original plan and checks whether the basic solution of the original plan is feasible, that is, whether there are negative components. If there are components less than zero, it will iterate to find another basic solution, which corresponds to another dual feasible solution. If the components of the basic solution obtained are all non-negative, then the basic solution is the optimal solution. In other words, the dual simplex method always maintains the feasibility of the dual solution during the iteration process, so that the basic solution of the original plan gradually changes from infeasible to feasible. When the feasible solutions of the dual plan and the original plan are obtained at the same time, the optimal solution of the original plan is obtained.
[0032] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base. It is characterized in that The steps include: Step 1: According to the power demand of the energy base, obtain the minimum power Tmin required by the energy base every hour in a day j and maximum power Tmax j , j = 0, 1, 2, ..., 23; Step 2: Calculate the output coefficient Kc of solar thermal, photovoltaic and wind power every hour of the day based on the actual electricity consumption of the energy base. j , Kp j , Kw j , j = 0, 1, 2, ..., 23; Kc j , Kp j , Kw j They are the output coefficients of solar thermal, photovoltaic and wind power in each hour of the day; Step 3: According to the output characteristics of solar thermal, photovoltaic and wind power, photovoltaic, wind power and solar thermal are used to generate power simultaneously from 8:00 to 18:00 in the daytime, and solar thermal and wind power are used to generate power simultaneously from 19:00 to 7:00 the next day. A linear programming mathematical model is established: minf(x,y,z)=Cost csp *x+Cost pv *y+Cost wind *z Among them, x refers to the capacity of solar thermal energy in one day; y refers to the capacity of photovoltaic energy in one day; z refers to the capacity of wind power in one day; Cost csp Refers to the comprehensive cost per unit capacity of solar thermal energy. pv Refers to the comprehensive cost of photovoltaic unit capacity; Cost wind Refers to the comprehensive cost of wind power per unit capacity; CP min Refers to the minimum value of the ratio of solar thermal capacity to photovoltaic capacity; CP max Refers to the maximum value of the ratio of solar thermal capacity to photovoltaic capacity; CW min Refers to the minimum ratio of solar thermal capacity to wind power capacity; CW max Refers to the maximum value of the ratio of solar thermal capacity to wind power capacity; f(x,y,z) is the objective function, which is the total investment cost of solar thermal, photovoltaic and wind power construction in the energy base; Step 4: Use the dual simplex algorithm to solve the optimal capacity configuration x of solar thermal, photovoltaic and wind power in one day. min ,y min ,z min , so as to obtain the optimal ratio of solar thermal, photovoltaic and wind power, x min ,y min ,z min They are the optimal capacity configurations for solar thermal, photovoltaic and wind power respectively.
2. According to claim 1, a method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base, It is characterized in that The output coefficient value range is between 0 and 1, and satisfies 3. According to the method for calculating the optimal ratio of solar thermal, photovoltaic and wind power in an energy base in claim 1, It is characterized in that The dual simplex algorithm starts from a basic solution of the original plan and checks whether the basic solution of the original plan is feasible, that is, whether there are negative components. If there are components less than zero, it iterates to find another basic solution, which corresponds to another dual feasible solution. If the components of the basic solution obtained are all non-negative, then the basic solution is the optimal solution.