CN112821390B - Medium-term unit combination-based power system long-term production simulation method - Google Patents
Medium-term unit combination-based power system long-term production simulation method Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a long-term production simulation method of a power system based on a medium-term unit combination, which comprises the steps of constructing daily statistical information of a net load at a peak-valley moment according to acquired planning data and prediction data of the power system; constructing an objective function of a middle-stage unit combination model by taking the comprehensive operation cost formed by minimizing the operation cost of a coal-fired unit, the water abandoning cost of a reservoir-capacity type hydroelectric generating unit and the electricity abandoning cost of a new energy unit as optimization targets; constructing constraint conditions of the medium-term unit combination model; establishing a middle-period unit combination model; and solving the established middle-term unit combination model to obtain the installed capacity, the generated energy, the utilization hours and the system operation cost of each type of power supply, and completing the long-term production simulation calculation of the power system. The method has the advantages of rapidness, effectiveness and easiness in implementation, and can assist a planner in evaluating a power system planning scheme containing the traditional power supply new energy power generation.
Description
Technical Field
The invention belongs to the technical field of planning evaluation in an electric power system, and particularly relates to a long-term production simulation method of the electric power system based on medium-term unit combination.
Background
Currently, electric power systems in China are in a transition phase. On one hand, the power supply structure of the power system in China still mainly comprises a thermal power generating unit at the present stage, and the number of large-scale coal burner assembling machines and the scale of the installed capacity are huge; on the other hand, the development of clean renewable energy power generation resources is rapid, and the installed capacity of new energy power generation units represented by wind power and photovoltaic power generation is increased year by year. Production simulation is one of simulation means of the power system, and can carry out simulation on the operation of the power system under the specified boundary condition to obtain key economic and technical indexes. In the present context, it is crucial to study a fast, efficient, and easily implemented production simulation approach to simulate actual power system operating conditions or evaluate power system planning schemes.
Production simulation on medium and long-term scales generally needs to consider operation constraints and network safety constraints of time sequence coupling such as unit start-stop, climbing and the like so as to ensure that a simulation result conforms to the operation characteristics of an actual power system. On one hand, the traditional unit combination model taking hours as granularity is a large-scale mixed integer optimization problem mathematically and contains a large amount of time sequence coupling linear constraints, so that the direct solution is difficult; on the other hand, a less flexible power supply represented by a coal-fired unit is generally not scheduled to be started or stopped frequently in actual operation. Therefore, the production simulation on the medium-long scale can coarsen the calculation granularity, the generation plan is arranged by taking the day as a unit, the statistics of the simulation result is not influenced, and the calculation difficulty and the calculation expense are reduced.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a fast, effective and easy-to-implement method for simulating and calculating long-term production of an electric power system, under a given planning boundary, a medium-term unit combination reasonably allocates power generation resources to meet load requirements at various times by optimizing the operating states and output of various types of power supplies on a daily basis, and assists with the backup at the peak-valley time of a net load and the verification of network transmission capability to ensure the rationality of results.
The invention adopts the following technical scheme:
a long-term production simulation method of a power system based on a medium-term unit combination comprises the following steps:
s1, acquiring planning data and prediction data of an electric power system;
s2, constructing daily statistical information of the peak-valley time of the net load according to the acquired planning data and prediction data of the power system; constructing an objective function of a middle-stage unit combination model by taking the comprehensive operation cost formed by minimizing the operation cost of a coal-fired unit, the water abandoning cost of a reservoir-capacity type hydroelectric generating unit and the electricity abandoning cost of a new energy unit as optimization targets; constructing a medium-term unit combination model constraint condition comprising power supply operation constraint, system operation constraint, verification constraint and other constraints; establishing a middle-period unit combination model;
and S3, solving the established middle-stage unit combination model to obtain the installed capacity, the generated energy, the utilization hours and the system operation cost of each type of power supply, completing the long-term production simulation calculation of the power system, and taking the result of the simulation calculation as a reference index of the economic and technical performance of the planning scheme.
Specifically, in step S1, the power system planning data includes power supply planning data, power grid planning data, and other data; the power system prediction data comprise predicted values of load demand and new energy output under medium and long-term scales.
Further, the power supply planning data includes maximum/minimum technical output of the coal-fired unit
Upward climbing rate of coal-fired unit
Fuel consumption characteristic curve of coal-fired unit and maximum/minimum technical output of reservoir type hydroelectric unit
Maximum technical output of a new energy unit
The power grid planning data comprises network connection information and impedance parameters of each power transmission line and each transformer in the power grid, and the upper limit of the transmission capacity of each power transmission line and each transformer
The operation mode of the cross-region connecting line; other data, including geographical distribution information of the load, up/down load reserve level α of the system UL /α DL ；
The predicted values of the load demand and the new energy output under the medium and long term scale comprise all values in a medium and long term hourly demand prediction curve of all node loads
Values in the medium-and-long term hourly output prediction curves of the new energy units
Available generated energy prediction value in each scheduling period of reservoir type hydroelectric generating set
Specifically, in step S2, the construction of daily statistics of peak-valley time of the payload specifically includes:
obtaining a full system net load hourly curve according to a load hourly demand prediction curve, a new energy hourly output prediction curve and a tie line hourly planned operating power, and then obtaining a full system net load hourly curve according to the load hourly demand prediction curve, the new energy hourly output prediction curve and the tie line hourly planned operating power
And carrying out statistics on the maximum value, the minimum value and the occurrence time of the net load day by day to obtain the day-by-day statistical information of the peak valley time of the net load.
Further, the whole system payload hourly curve:
wherein NT is the number of hours involved in the production of the simulation timescale; omega D /Ω NEG /Ω TL A set of load/new energy source units/cross-regional links for the system;
the output or operating power is predicted hourly for the net load/raw load/new energy/tie line.
Specifically, in step S2, in the objective function of the medium-term unit combination model, the operation cost of the coal-fired unit, including the fuel cost, the start-up cost, and the shut-down cost, is:
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; omega TG /Ω R /Ω NEG The system is a set of a system coal-fired unit/a reservoir/a new energy unit;
the method comprises the following steps of (1) collecting reservoir capacity type hydroelectric generating sets contained in a reservoir j;
the fuel cost/start-up cost/shut-down cost of the coal-fired unit i;
indicating variables for judging whether the coal-fired unit i is started or stopped on k days, wherein 0 represents that the starting/stopping operation is not carried out, and 1 represents that the starting/stopping operation is carried out;
predicting the available generated energy/actual generated energy of the reservoir-capacity type hydroelectric generating set in a scheduling period;
predicted output/actual generated energy of the new energy unit; beta is a H /β NE The unit electricity abandonment cost of the storage capacity type hydroelectric generating set/new energy generating set.
Specifically, in the step S2, the power supply operation constraint includes a fuel cost linearization constraint of the coal-fired unit, a power generation amount clamping constraint, an operation state logic constraint, a total start/stop constraint, a storage capacity type hydroelectric generating unit power generation amount clamping constraint, a power generation amount constraint in a reservoir dispatching cycle, a new power generation amount clamping constraint of the power generation unit, and a daily power generation amount constraint; the system operation constraint comprises a system daily electric quantity balance constraint and a daily average up/down load standby constraint; the check constraint comprises upper and lower limit constraints of power supply power at the peak-valley time of a net load day, power balance constraint of a system, upper/lower load standby constraint and network transmission capacity constraint; other constraints include the peak shaving capability of a conventionally schedulable unit.
Further, the fuel cost linearization constraint of the coal-fired unit is as follows:
the generated energy clamp constraint is as follows:
the operating state logic constraints are:
the total number of start-ups/shutdowns constraints are:
the generated energy clamping constraint of the reservoir-capacity type hydroelectric generating set is as follows:
the constraint of the electricity generation amount in the reservoir dispatching cycle is as follows:
the generated energy clamp constraint of the new energy unit is as follows:
the power generation amount in the day is restricted as follows:
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; m is the number of linear sections of the fuel consumption curve of the coal-fired unit; omega TG /Ω HG /Ω R /Ω NEG The system is a set of a system coal-fired unit/a reservoir capacity type hydroelectric generating set/a reservoir/a new energy source unit;
indicating variables for indicating whether the coal-fired unit i runs/starts/stops on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state or does not start or stop operation, and 1 represents that the coal-fired unit i is in a running state or starts or stops operation;
the actual generated energy of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy source unit i in k days;
the method comprises the steps of predicting available generated energy/predicted output of a new energy unit for a reservoir capacity type hydroelectric generating set in a scheduling period;
the minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i;
the maximum technical output of a coal-fired unit/a reservoir capacity type hydroelectric generating unit/a new energy unit i is obtained; LK i,s /LB i,s The slope/intercept parameter of the linear segmentation of the fuel consumption characteristic curve of the coal-fired unit is set; n is a radical of D,max /N U,max The number of times of shutdown/startup of the coal-fired unit is the upper limit;
the daily electric quantity balance constraint of the system is as follows:
the daily average upper/lower load backup constraints are:
wherein ND/ND T Number of days contained for production simulation timescale/number of hours contained per day; omega TG /Ω HG /Ω NEG /Ω TL /Ω D The system is a set of a system coal-fired unit/a reservoir capacity type hydroelectric generating unit/a new energy source unit/a cross-region tie line/load;
actual generating capacity/exchange electric quantity/required electric quantity of a coal-fired unit/a storage capacity type hydroelectric generating unit/a new energy unit/a cross-regional connecting line/load i in k days;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
the minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i;
the maximum technical output of the coal-fired unit/reservoir-capacity type hydroelectric generating set i is obtained; alpha is alpha UL /α DL A level of upper/lower load back-up for the system;
the upper and lower limits of the power supply power at the time of the peak valley of the net load are constrained as follows:
the power balance constraint of the system is:
the up/down load standby constraints are:
the network transmission capability constraints are:
wherein ND is the number of days included in the production simulation time scale; omega B /Ω TG /Ω HG /Ω NEG /Ω TL /Ω D The system is a set of a system bus, a coal-fired unit, a reservoir capacity type hydroelectric unit, a new energy unit, a cross-regional connecting line and a load;
is the collection of the power supply or equivalent power supply/load connected on the bus i;
for coal-fired units/storage type hydroelectric powerActual power generation of the unit/new energy unit i in k days;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
replacing PL in the upper standard with VL to represent a physical value at a valley time for an actual output/exchange power/required power of a coal-fired unit/a reservoir capacity type hydroelectric generating unit/a new energy source unit/a cross-regional connecting line/power supply or an equivalent power supply/load i at a peak time of k days;
the minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i;
the maximum technical output of the coal-fired unit/reservoir-capacity type hydroelectric generating set i is obtained; alpha is alpha UL /α DL A level of upper/lower load back-up for the system; g l,i Transferring distribution factors for power generation from a line l to a bus i in the power transmission network;
the transmission capacity limit of the transmission line/transformer l;
the peak shaving capacity constraint of a conventional dispatchable unit is:
wherein the content of the first and second substances,
the number of days contained for the production simulation time scale/the number of hours contained for the kth day; omega TG /Ω HG /Ω D The system is a set of a system coal-fired unit/a reservoir-capacity type hydroelectric generating set/a load;
the actual generating capacity of the reservoir capacity type hydroelectric generating set i in k days is obtained;
load demand at t hours for full system payload;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
the upward climbing rate of the coal-fired unit i;
the maximum technical output of the coal-fired unit i.
Specifically, in step S3, the installed capacities of the various types of power supplies include installed capacities of a coal-fired unit, a reservoir-capacity type hydroelectric unit and a new energy unit; the power generation capacity of each type of power supply comprises the actual power generation capacity of a coal-fired unit, a reservoir capacity type hydroelectric generating unit and a new energy unit; the utilization hours of each type of power supply comprise actual generated energy of a coal-fired unit, a reservoir type hydroelectric generating unit and a new energy unit; the system operation cost comprises the coal-fired unit operation cost, the storage capacity type water and electricity abandoning cost and the new energy unit electricity abandoning cost; and according to the indexes, checking the economic and technical indexes of the planning scheme by combining the simulated power generation plans of various types of power supplies formulated by production simulation.
Further, the installed capacity P of the new energy unit G,Cap Comprises the following steps:
wherein omega G Is a collection of power sources of a certain type;
the maximum technical output of a certain power supply i is provided;
actual generating capacity E of new energy unit G,Gen Comprises the following steps:
wherein omega G Is a collection of power sources of a certain type;
actual power generation amount for the kth day of a certain power supply i; ND is the number of days involved in producing the analog time scale;
average utilization hours AUH of each type of power supply G Comprises the following steps:
wherein E is G,Gen Is the power generation of a certain type of power supply; p G,Cap Installed capacity for a certain type of power source;
operating cost OC of coal-fired unit T Comprises the following steps:
storehouse capacity type water-electricity abandoning cost OC H Comprises the following steps:
new energy unit abandons electric cost OC NE Comprises the following steps:
wherein ND/ND T /NS/NS D Number of days/number of hours included per day for production simulation timescaleStorage capacity type hydropower dispatching cycle number/days contained in each dispatching cycle; omega TG /Ω R /Ω NEG Is a set of a coal-fired unit/a reservoir/a new energy unit;
the method comprises the following steps of (1) collecting reservoir capacity type hydroelectric generating sets contained in a reservoir j;
the fuel cost/start-up cost/shut-down cost of the coal-fired unit i;
indicating variables for judging whether the coal-fired unit i is started or stopped on k days, wherein 0 represents that the starting/stopping operation is not carried out, and 1 represents that the starting/stopping operation is carried out;
predicting available power generation amount/actual power generation amount of the reservoir capacity type hydroelectric generating set in a scheduling period;
predicted output/actual generated energy of the new energy unit; beta is a H /β NE The unit electricity abandonment cost of the reservoir capacity type hydroelectric generating set/new energy generating set is reduced.
Compared with the prior art, the invention has at least the following beneficial effects:
the invention relates to a long-term production simulation method of an electric power system based on medium-term unit combination, which is characterized in that under the conditions of given power supply and power grid planning boundary, new energy output prediction and load level, a mixed integer mathematical optimization model based on medium-term unit combination is established by taking day as granularity, and the production simulation of a planning scheme is realized by optimizing the operation of various types of power supplies; on the basis of conventional constraints such as power supply operation constraint, system operation constraint and the like, the verification constraint of standby and network transmission capacity at the moment of net load peak valley and the peak regulation capacity constraint of a conventional schedulable unit (mainly a coal-fired unit and a reservoir type hydroelectric generating unit) are added to ensure the reasonability of results. The simulation result is subjected to statistics to generate key economic and technical indexes concerned by planning personnel, such as the utilization hours of various types of power supplies, the system operation cost and the like, so that the planning scheme is effectively evaluated; the long-term production simulation of the planning scheme of the power system is realized by establishing and solving a medium-term unit combination model of the power system. The simulation result can reflect the optimal operation condition of the power system planning scheme under the scheduling target of comprehensively considering the economical efficiency of the coal-fired unit and the utilization rate of the renewable energy sources, and helps the planning personnel to check the economical and technical indexes of the planning scheme on the planning level.
Further, before the step of establishing the middle-term unit combination model in the production simulation, the planning data and the prediction data of the power system need to be acquired to provide the necessary boundary conditions for the middle-term unit combination.
Furthermore, on the basis of conventional power supply operation constraint and system operation constraint, the medium-term unit combination model adds check constraint of standby and network transmission capacity at the moment of net load peak valley and peak regulation capacity constraint of conventional schedulable units (mainly a coal-fired unit and a reservoir-type hydroelectric generating unit), thereby ensuring the reasonability and validity of results to a certain extent.
Furthermore, on the basis of conventional power supply operation constraint and system operation constraint, the medium-term unit combination model adds check constraint of standby and network transmission capacity at the moment of net load peak valley and peak regulation capacity constraint of conventional schedulable units (mainly a coal-fired unit and a reservoir-type hydroelectric generating unit), thereby ensuring the reasonability and validity of results to a certain extent.
Furthermore, the middle-stage unit combination model considers the operation characteristics of the coal-fired units scheduled to be started and stopped according to the day in the operation of the actual power system, the control of the scale of the mixed integer optimization model is realized by coarsening the calculation granularity, the calculation overhead (including time overhead and storage overhead) is obviously reduced compared with the unit combination method operated by the traditional hour-granularity optimization system, the rapidity advantage of the method is embodied, before the middle-stage unit combination model is constructed, a net load curve of the whole system is generated according to a prediction curve of load requirements, an output prediction curve of new energy (wind power/photovoltaic) and a planned operation curve of a cross-regional connecting line, and the peak-valley time of the net load of the whole system is counted to provide time information of each check constraint in the middle-stage unit combination model, namely, the check constraint is added when each day is known.
Furthermore, the middle-period unit combination model is easy to realize, is not only suitable for being independently used for long-term production simulation of an electric power system, but also suitable for being used as a front model of a production simulation method with more complex models and higher calculation overhead so as to achieve the effect of pre-solving, and takes the minimum comprehensive operation cost formed by the operation cost of a coal-fired unit, the water abandonment cost of a reservoir-type hydroelectric generating set and the electricity abandonment cost of a new energy source unit as the optimization target. The method comprises the steps that the operation cost of a coal-fired unit is set, and the operation cost of the coal-fired unit, including fuel cost, unit starting cost and unit stopping cost, is comprehensively considered; each coal-fired unit will show differences in the simulation of power generation planning based on the difference in economics.
Furthermore, the middle-period unit combination model is provided with operation constraints of various types of power supplies, and the purpose is as follows: and limiting the operation range of the unit to reflect the operation mode and the operation characteristics of the unit in actual operation, so that the production simulation result accords with the reality. The operation restriction of the coal-fired unit reflects the operation restriction of the coal-fired unit in the aspects of fuel operation cost, unit output, start-up/shut-down; the operation restriction of the reservoir-capacity type hydroelectric generating set reflects the operation restriction of the reservoir-capacity type hydroelectric generating set in the aspects of generating capacity and hydroelectric resources; the operating constraints of the new energy unit reflect the limitations of the new energy unit in the aspects of generated energy and wind/photovoltaic power generation resources.
Further, the mid-term unit combination model sets the check constraint of the peak-valley load time of the net load, including the power balance, the upper/lower load standby and the network transmission capacity constraint under the peak-valley time of the net load day by day, and the peak/valley time of the net load of each day is the time when the conventional unit bears the maximum peak load pressure, and can be regarded as the extreme operation scene of each day. The constraint that the operation requirements of the system in the aspects of power balance, load reserve and network transmission capacity are reflected is added aiming at the extreme operation scenes, so that the simulated power generation plan compiled by production simulation can better accord with the actual operation condition of the system, and the rationality of the production simulation result is ensured.
Furthermore, other constraints are set in the medium-term unit combination model, including the peak shaving capability constraint of the conventional schedulable unit (mainly a coal-fired unit and a storage capacity type hydroelectric generating unit), and the peak shaving requirement in the system should be responded at any time by considering that the coal-fired unit and the storage capacity type hydroelectric generating unit are used as main peak shaving power supplies. By adding the peak shaving capacity constraint, the simulated power generation plan compiled by the production simulation can better accord with the actual operation condition of the system, and the rationality of the production simulation result, particularly the simulated output and operation state result of the coal-fired unit is ensured.
Furthermore, indexes reflecting the installed capacity, the generated energy, the power utilization hours and the system operation cost of each type of power supply are set for assisting power system planners to visually know the production simulation result of the planning scheme, the installed capacity index of each type of unit directly depends on the design of the planning scheme, and the power supply structure information of the planning scheme on the planning level can be visually reflected; the indexes of the generated energy and the power utilization hours of each type of power supply are obtained by analyzing the production simulation result, and the generated energy and the average load information of each type of power supply can be intuitively reflected; the system operation cost indexes comprise the operation cost of a coal-fired unit, the electricity abandoning cost of a reservoir-type hydroelectric generating set and the electricity abandoning cost of a new energy unit (wind power/photovoltaic), the former can visually reflect the operation economy of a traditional unit using fossil energy by combining the generated energy and the utilization hours of the coal-fired unit, and the latter can visually reflect the utilization condition of the system on clean and renewable power generation resources.
In conclusion, the method has the advantages of rapidness, effectiveness and easiness in implementation, and can assist a planner in evaluating a power system planning scheme comprising a traditional type power supply (a coal-fired unit and a reservoir type hydroelectric unit) and a new energy power generation (a wind turbine unit and a photovoltaic unit).
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
The invention provides a long-term production simulation method of an electric power system based on medium-term unit combination, which is characterized in that under the conditions of given power supply and power grid planning boundary, new energy output prediction and load level, a mixed integer mathematical optimization model based on medium-term unit combination is established by taking day as granularity, the production simulation of a planning scheme is realized by optimizing the operation of various types of power supplies, and planning personnel are helped to check the economic and technical indexes of the planning scheme on the planning level. The middle-period unit combination model considers the operation characteristics of the coal-fired units starting and stopping according to the daily arrangement in the actual power system operation, and realizes the control of the scale of the mixed integer optimization model by coarsening the calculated granularity, so that the calculation overhead is obviously reduced. On the basis of the operation constraint of a power supply and a system, the verification constraint of standby and network transmission capacity at the moment of a net load peak valley and the peak-adjusting capacity constraint of a conventional schedulable unit are added, so that the reasonability and the effectiveness of the result are ensured. The model contained in the method is easy to realize, is not only suitable for being independently used for long-term production simulation of the power system, but also suitable for being used as a front-end model of a production simulation method with more complex models and more huge calculation cost, thereby playing a pre-solving effect and having stronger adaptability and practical value for power grid planning evaluation of a large-scale power system.
Referring to fig. 1, the present invention provides a long-term production simulation method for an electric power system based on a medium-term unit combination, which includes the following steps:
s1, acquiring required data from related departments;
the calculation model input data obtained from the relevant departments include the following data:
power system planning data: power supply planning data, including maximum/minimum technical output of coal-fired units
Upward climbing rate of coal-fired unit
Fuel consumption characteristic curve of coal-fired unit and maximum/minimum technical output of reservoir type hydroelectric unit
Maximum technical output of new energy unit
The power grid planning data comprises various power transmission lines and transformers in the power gridNetwork connection information and impedance parameters, and transmission capacity upper limit of transmission line and transformer
The operation mode of the cross-region connecting line; other data, including geographical distribution information of the load, up/down load reserve level α of the system UL /α DL 。
Electric power system prediction data: the predicted values of the load demand and the output of new energy (wind power and photovoltaic units) under the medium and long term scale comprise all values in a medium and long term hourly demand prediction curve of all node loads
Values in the medium-and-long term hourly output prediction curve of each new energy machine set
Available generated energy prediction value in each scheduling period of reservoir type hydroelectric generating set
S2, establishing a medium-term unit combination model;
s201, constructing daily statistical information of the peak valley time of the net load;
firstly, obtaining a full system net load hourly curve according to a load hourly demand prediction curve, a new energy hourly output prediction curve and a tie line hourly planned operating power:
wherein NT is the number of hours involved in the production of the simulation timescale; omega D /Ω NEG /Ω TL Is the set of load/new energy machine group/cross-region connecting line of the system;
for net load/original load/new energy/contactPredicting output or operating power hourly by line;
then according to
And carrying out statistics on the maximum value, the minimum value and the occurrence time of the net load day by day to obtain the day-by-day statistical information of the peak valley time of the net load.
S202, constructing a target function of a medium-term unit combination model;
the method takes the comprehensive operation cost formed by the operation cost of a coal-fired unit, the water abandonment cost of a reservoir-type hydroelectric generating set and the electricity abandonment cost of a new energy unit as an optimization target. Wherein, the operation cost of the coal-fired unit comprises the fuel cost, the starting cost and the shutdown cost:
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; omega TG /Ω R /Ω NEG The system is a set of a system coal-fired unit/a reservoir/a new energy unit;
the method comprises the following steps of (1) collecting reservoir capacity type hydroelectric generating sets contained in a reservoir j;
fuel cost/start-up cost/shut-down cost for coal-fired unit i;
indicating variables for judging whether the coal-fired unit i is started or stopped on k days, wherein 0 represents that the starting/stopping operation is not carried out, and 1 represents that the starting/stopping operation is carried out;
for reservoir-capacity hydroelectric generating units in scheduling cyclesPredicting available power generation capacity/actual power generation capacity;
predicted output/actual generated energy of the new energy unit; beta is a beta H /β NE The cost of electricity abandonment for a storage capacity type hydroelectric generating set/new energy generating set unit;
s203, constructing model constraint conditions including power supply operation constraint, system operation constraint, verification constraint and other constraints;
(1) Power supply operating constraints comprising:
fuel cost linearization constraint of coal-fired unit (3):
electric energy generation amount clamp constraint (4):
operating state logical constraints (5) to (6):
total number of start/stop constraints (7) - (8):
and (3) power generation capacity clamp constraint of reservoir-capacity type hydroelectric generating set (9):
and power generation amount constraint (10) in a reservoir dispatching cycle:
and (3) the generated energy clamping constraint of the new energy unit (11):
daily power generation amount constraint (12):
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; m is the number of linear sections of the fuel consumption curve of the coal-fired unit; omega TG /Ω HG /Ω R /Ω NEG The system is a set of a system coal-fired unit/a storage capacity type hydroelectric generating unit/a reservoir/a new energy unit;
indicating variables for indicating whether the coal-fired unit i runs/starts/stops on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state or does not start or stop operation, and 1 represents that the coal-fired unit i is in a running state or starts or stops operation;
the actual generated energy of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy source unit i in k days;
predicting the available generated energy/the predicted output of the new energy unit for the reservoir capacity type hydroelectric generating set in the scheduling period;
the minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i;
the maximum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy unit i; LK i,s /LB i,s The slope/intercept parameter of the linear segmentation of the fuel consumption characteristic curve of the coal-fired unit is obtained; n is a radical of hydrogen D,max /N U,max The number of times of shutdown/startup of the coal-fired unit is the upper limit;
(2) System operational constraints include:
system day electric quantity balance constraint (13)
Daily average upper/lower load backup constraints (14) to (15):
wherein ND/ND T Number of days contained for production simulation timescale/number of hours contained per day; omega TG /Ω HG /Ω NEG /Ω TL /Ω D The system is a set of a system coal-fired unit/a reservoir capacity type hydroelectric generating unit/a new energy source unit/a cross-region tie line/load;
the actual generated energy of a coal-fired unit/a reservoir-capacity type hydroelectric generating unit/a new energy unit/a trans-regional connecting line/load i in k daysExchange/demand;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
the minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i is obtained;
the maximum technical output of the coal-fired unit/reservoir-capacity type hydroelectric generating set i is obtained; alpha is alpha UL /α DL A level of upper/lower load back-up for the system;
(3) The net load peak-to-valley load moment check constraints include:
upper and lower power supply power limits at the peak-valley time of the net load (16) to (21):
power balance constraint of system (22):
upper/lower load backup constraints (23) to (24):
network transmission capability constraint (25):
wherein ND is the number of days included in the production simulation time scale; omega B /Ω TG /Ω HG /Ω NEG /Ω TL /Ω D The system is a set of a system bus, a coal-fired unit, a reservoir capacity type hydroelectric generating unit, a new energy unit, a cross-regional connecting line and a load;
the system is a power supply or an equivalent power supply (comprising a coal-fired unit, a storage-capacity type hydroelectric generating set, a new energy source unit and a cross-regional connecting line)/load set connected with a bus i;
the actual generated energy of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy source unit i in k days;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
the method is characterized by comprising the following steps of (1) actual output/exchange power/required power of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy unit/cross-regional connecting line/(any type) power supply or equivalent power supply/load i at the peak moment of k days. Note that replacing PL in the superscript with VL then represents the physical value at the valley time;
the minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i;
the maximum technical output of the coal-fired unit/reservoir-capacity type hydroelectric generating set i is obtained; alpha is alpha UL /α DL A level of upper/lower load back-up for the system; g l,i The method comprises the following steps of transferring distribution factors for power generation from a line l to a bus i in a power transmission network, and establishing a linear mapping relation between bus injection power and line direct current power flow;
the transmission capacity limit of the transmission line/transformer l;
it is noted that the peak-to-valley load time validation constraints include, but are not limited to, the constraints listed in (16) - (25). The above-mentioned constraint represents only the check constraint at the peak time, and the check constraint at the valley time has the same mathematical form as that at the peak time, and can be obtained by replacing PL in the superscripts of the symbols in (16) to (22) and (25) with VL.
(4) Other constraints include:
peak shaving capacity constraint of conventional schedulable units (mainly coal-fired units and reservoir hydroelectric units) (26):
wherein the content of the first and second substances,
the number of days contained for the production simulation time scale/the number of hours contained for the kth day; omega TG /Ω HG /Ω D The system is a set of a system coal-fired unit/a reservoir-capacity type hydroelectric generating set/a load;
the actual generating capacity of the reservoir capacity type hydroelectric generating set i in k days is obtained;
load demand at t hours for full system payload;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
the upward climbing rate of the coal-fired unit i;
the maximum technical output of a coal-fired unit i is obtained;
the principle of the constraint lies in that the estimated available climbing capacity of the peak-shaving power supply mainly comprising a coal-fired unit and a reservoir-capacity type hydroelectric unit in t hours is forced to be larger than the fluctuation of a net load, so that the peak-shaving requirement of the system can be met. Wherein the total output of the coal fired unit is estimated using the net load value.
And S204, solving the medium-term unit combination model constructed in the steps S202 and S203.
S3, establishing statistical data including installed capacity, generated energy, utilization hours and system operation cost of each type of power supply, and completing analog calculation; and the analog values of the installed capacity, the generated energy, the utilization hours and the system operation cost of each type of power supply after analog calculation can be used as reference indexes of the economic and technical performance of the planning scheme. The daily generated energy and the start-stop plan of each type of power supply can also be used as a detail reference for evaluating the planning scheme, or a reference for compiling the power generation plan after the planning scheme passes through and is put into use.
(1) The installed capacity of each type of power supply comprises the installed capacity (27) of a coal-fired unit, a reservoir capacity type hydroelectric unit and a new energy unit:
wherein, P G,Cap Installed capacity for a certain type of power source; omega G A collection of power sources of a certain type;
the maximum technical output of a certain power supply i is provided;
(2) The power generation capacity of each type of power supply comprises the actual power generation capacity (28) of a coal-fired unit, a reservoir capacity type hydroelectric unit and a new energy unit:
wherein E is G,Gen Is the power generation of a certain type of power supply; omega G A collection of power sources of a certain type;
actual power generation amount for the kth day of a certain power supply i; ND is the number of days involved in producing the analog time scale;
(3) The actual generated energy (29) of each type of power supply utilization hours including coal-fired units, reservoir capacity type hydroelectric units and new energy units:
wherein AUH G Is the average number of hours of use of a certain type of power supply; e G,Gen Is the power generation of a certain type of power supply; p G,Cap Installed capacity for a certain type of power source;
(4) System operating costs, including:
coal fired unit operating cost (30):
storage type water and electricity abandon cost (31):
cost of electricity abandonment for new energy unit (32):
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; omega TG /Ω R /Ω NEG Is a set of a coal-fired unit/a reservoir/a new energy unit;
a set of reservoir capacity type hydroelectric generating sets contained in the reservoir j;
the fuel cost/start-up cost/shut-down cost of the coal-fired unit i;
indicating variables for judging whether the coal-fired unit i is started or shut down on k days, wherein 0 represents that the starting/shutting down operation is not carried out, and 1 represents that the starting/shutting down operation is carried out;
predicting the available generated energy/actual generated energy of the reservoir-capacity type hydroelectric generating set in a scheduling period;
prediction for new energy unitOutput/actual generated energy; beta is a H /β NE The cost of electricity abandonment for a storage capacity type hydroelectric generating set/new energy generating set unit;
by means of the indexes and in combination with the simulated power generation plans of various types of power supplies made by production simulation, planners can check the economic and technical indexes of the planning scheme.
In another embodiment of the present invention, a long-term production simulation system for an electric power system based on a medium-term unit combination is provided, where the system can be used to realize long-term production simulation of the electric power system based on the medium-term unit combination, and specifically, the long-term production simulation system for the electric power system based on the medium-term unit combination includes an acquisition module, a modeling module, and a calculation module.
The acquisition module acquires planning data and prediction data of the power system;
the modeling module is used for constructing daily statistical information of the peak valley time of the net load according to the acquired planning data and the prediction data of the power system; constructing an objective function of a middle-stage unit combination model by taking the comprehensive operation cost formed by minimizing the operation cost of a coal-fired unit, the water abandoning cost of a reservoir-capacity type hydroelectric generating unit and the electricity abandoning cost of a new energy unit as optimization targets; constructing a medium-term unit combination model constraint condition comprising power supply operation constraint, system operation constraint, verification constraint and other constraints; establishing a middle-period unit combination model;
and the calculation module is used for solving the established middle-stage unit combination model to obtain the installed capacity, the generated energy, the utilization hours and the system operation cost of each type of power supply, and completing the long-term production simulation calculation of the power system.
In yet another embodiment of the present invention, a terminal device is provided that includes a processor and a memory for storing a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is adapted to implement one or more instructions, and is specifically adapted to load and execute one or more instructions to implement a corresponding method flow or a corresponding function; the processor provided by the embodiment of the invention can be used for the operation of the long-term production simulation calculation of the power system based on the medium-term unit combination, and comprises the following steps:
acquiring planning data and prediction data of the power system; constructing daily statistical information of the peak-valley time of the net load according to the acquired planning data and the prediction data of the power system; constructing an objective function of a middle-stage unit combination model by taking the comprehensive operation cost formed by minimizing the operation cost of a coal-fired unit, the water abandoning cost of a reservoir-capacity type hydroelectric generating unit and the electricity abandoning cost of a new energy unit as optimization targets; constructing a medium-term unit combination model constraint condition comprising power supply operation constraint, system operation constraint, verification constraint and other constraints; establishing a middle-period unit combination model; and solving the established middle-stage unit combination model to obtain the installed capacity, the generated energy, the utilization hours and the system operation cost of each type of power supply, and completing the long-term production simulation calculation of the power system.
In still another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a Memory device in a terminal device and is used for storing programs and data. It is understood that the computer readable storage medium herein may include a built-in storage medium in the terminal device, and may also include an extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor can load and execute one or more instructions stored in the computer readable storage medium to realize the corresponding steps of the long-term production simulation calculation of the power system based on the medium-term unit combination in the embodiment; one or more instructions in the computer-readable storage medium are loaded by the processor and perform the steps of:
acquiring planning data and prediction data of the power system; constructing daily statistical information of the peak-valley time of the net load according to the acquired planning data and the prediction data of the power system; constructing an objective function of a medium-term unit combination model for an optimization objective by using a comprehensive operation cost formed by minimizing the operation cost of a coal-fired unit, the water abandonment cost of a storage-capacity type hydroelectric generating set and the electricity abandonment cost of a new energy unit; constructing a medium-term unit combination model constraint condition comprising power supply operation constraint, system operation constraint, verification constraint and other constraints; establishing a middle-period unit combination model; and solving the established middle-term unit combination model to obtain the installed capacity, the generated energy, the utilization hours and the system operation cost of each type of power supply, and completing the long-term production simulation calculation of the power system.
Example analysis
In order to verify the effectiveness of the method provided by the invention, a test system is adopted for analysis, the test system network frame comprises 44 buses (30 of the buses are load buses), 65 power transmission lines and 12 transformers, and a power supply comprises 32 coal-fired units, 3 reservoir-type hydroelectric generating units, 5 wind power plants and 4 photovoltaic power plants. Wherein the new energy stations are equivalent to new energy units to participate in calculation.
The calculation scale of the middle-period unit combination is set to be one calculation month (672 h), and rolling calculation is carried out month by month until a production simulation result of 8736h is obtained. The computation time on an 8-core 16-thread processor is 5.59s, and the statistical index is as follows:
it can be seen that the operation speed of the production simulation is very fast; the method can quickly and effectively assist the power system planners to carry out economic and technical evaluation on the planning scheme.
In summary, the long-term production simulation method for the power system based on the medium-term unit combination can simulate the compilation of the long-term power generation plan of the power system by constructing and solving a medium-term unit combination optimization model with day as granularity on the basis of the given planning boundary and the given prediction information, so as to realize the rapid and effective production simulation of the power system planning scheme, thereby achieving the effect of assisting the power system planner to evaluate the economy and the technology of the planning scheme.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (9)
1. A long-term production simulation method of a power system based on medium-term unit combination is characterized by comprising the following steps:
s1, acquiring planning data and prediction data of an electric power system;
s2, constructing daily statistical information of the peak valley time of the net load according to the acquired planning data and prediction data of the power system; constructing an objective function of a middle-stage unit combination model by taking the comprehensive operation cost formed by minimizing the operation cost of a coal-fired unit, the water abandoning cost of a reservoir-capacity type hydroelectric generating unit and the electricity abandoning cost of a new energy unit as optimization targets; constructing a medium-term unit combination model constraint condition comprising power supply operation constraint, system operation constraint, verification constraint and other constraints; establishing a medium-term unit combination model, wherein in an objective function of the medium-term unit combination model, the operation cost of the coal-fired unit, including fuel cost, starting cost and shutdown cost, is as follows:
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; omega TG /Ω R /Ω NEG The system is a set of a system coal-fired unit/a reservoir/a new energy unit;
a set of reservoir capacity type hydroelectric generating sets contained in the reservoir j;
the fuel cost/start-up cost/shut-down cost of the coal-fired unit i;
indicating variables for judging whether the coal-fired unit i is started or stopped on k days, wherein 0 represents that the starting/stopping operation is not carried out, and 1 represents that the starting/stopping operation is carried out;
predicting available power generation amount/actual power generation amount of the reservoir capacity type hydroelectric generating set in a scheduling period;
predicted output/actual generated energy of the new energy unit; beta is a H /β NE The cost of electricity abandonment for a storage capacity type hydroelectric generating set/new energy generating set unit;
and S3, solving the established middle-stage unit combination model to obtain the installed capacity, the generated energy, the utilization hours and the system operation cost of each type of power supply, and completing the long-term production simulation calculation of the power system.
2. The method according to claim 1, characterized in that in step S1, the power system planning data comprises power supply planning data, grid planning data and other data; the power system prediction data comprise predicted values of load demand and new energy output under medium and long-term scales.
3. The method of claim 2, wherein the power supply planning data comprises a maximum/minimum technical contribution P of the coal-fired unit i T,max /P i T,min Upward slope climbing rate of coal-fired unit
Fuel consumption characteristic curve of coal-fired unit and maximum/minimum technical output P of reservoir type hydroelectric unit i H,max /P i H,min Maximum technical output P of new energy unit i NE,max ；
The power grid planning data comprises network connection information and impedance parameters of each power transmission line and each transformer in the power grid, and the upper limit P of the transmission capacity of each power transmission line and each transformer l L,max The operation mode of the cross-region connecting line; other data, including geographical distribution information of the load, up/down load reserve level α of the system UL /α DL ；
The predicted values of the load demand and the new energy output under the medium-long term scale comprise all values in a medium-long term hourly demand prediction curve of all node loads
Values in the medium-and-long term hourly output prediction curves of the new energy units
Available generated energy prediction value in each scheduling period of reservoir type hydroelectric generating set
4. The method according to claim 1, wherein in step S2, the daily statistics of peak-to-valley times of the payload are specifically constructed as follows:
obtaining a full-system net load hourly curve according to a load hourly demand prediction curve, a new energy hourly output prediction curve and a tie line hourly planned operating power, and then obtaining a total-system net load hourly curve according to P t D,Net And carrying out statistics on the maximum value, the minimum value and the occurrence time of the net load day by day to obtain the day-by-day statistical information of the peak valley time of the net load.
5. The method of claim 4, wherein a full system payload hourly curve:
wherein NT is the number of hours included in the production simulation time scale; omega D /Ω NEG /Ω TL Is the set of load/new energy machine group/cross-region connecting line of the system;
the output or operating power is predicted hourly for the net load/raw load/new energy/tie line.
6. The method according to claim 1, wherein in step S2, the power supply operation constraints include a fuel cost linearization constraint, a power generation amount clamp constraint, an operation state logic constraint, a total start/shut-down constraint, a storage capacity type hydroelectric generating amount clamp constraint, a power generation amount constraint in a reservoir dispatching cycle, a new power generation amount clamp constraint and a daily power generation amount constraint of the coal-fired unit; the system operation constraint comprises a system daily electric quantity balance constraint and a daily average up/down load standby constraint; the check constraint comprises upper and lower limit constraints of power supply power at the peak-valley time of a net load day, power balance constraint of a system, upper/lower load standby constraint and network transmission capacity constraint; other constraints include the peak shaving capability of a conventionally schedulable unit.
7. The method of claim 6, wherein the fuel cost linearization constraint for a coal burning unit is:
the generated energy clamp constraint is as follows:
the operating state logic constraints are:
the total number of start-ups/shutdowns constraints are:
the generated energy clamping constraint of the reservoir-capacity type hydroelectric generating set is as follows:
the constraint of the electricity generation amount in the reservoir dispatching cycle is as follows:
the generated energy clamp constraint of the new energy unit is as follows:
the power generation amount in the day is restricted as follows:
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; m is the number of linear sections of the fuel consumption curve of the coal-fired unit; omega TG /Ω HG /Ω R /Ω NEG The system is a set of a system coal-fired unit/a reservoir capacity type hydroelectric generating set/a reservoir/a new energy source unit;
indicating variables for indicating whether the coal-fired unit i runs/starts/stops on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state or does not start or stop operation, and 1 represents that the coal-fired unit i is in a running state or starts or stops operation;
the actual generated energy of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy source unit i in k days;
predicting the available generated energy/the predicted output of the new energy unit for the reservoir capacity type hydroelectric generating set in the scheduling period; p i T,min /P i H,min The minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i; p i T,max /P i H,max /P i NE,max The maximum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy unit i; LK i,s /LB i,s The slope/intercept parameter of the linear segmentation of the fuel consumption characteristic curve of the coal-fired unit is obtained; n is a radical of D,max /N U,max The number of times of shutdown/startup of the coal-fired unit is the upper limit;
the daily electric quantity balance constraint of the system is as follows:
the daily average up/down load backup constraints are:
wherein ND/ND T Number of days contained for production simulation timescale/number of hours contained per day; omega TG /Ω HG /Ω NEG /Ω TL /Ω D The system is a set of a system coal-fired unit/a storage capacity type hydroelectric generating unit/a new energy unit/a cross-regional connecting line/load;
the method comprises the following steps of (1) providing actual generated energy/exchange electric quantity/required electric quantity of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy unit/cross-region connecting line/load i in k days;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state; p i T,min /P i H,min For coal-fired units/storage type hydroelectric powerThe minimum technical output of the unit i; p i T,max /P i H,max The maximum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i is obtained; alpha is alpha UL /α DL A level of upper/lower load back-up for the system;
the upper and lower limits of the power supply power at the time of the peak valley of the net load are constrained as follows:
the power balance constraint of the system is:
the up/down load standby constraints are:
the network transmission capability constraints are:
wherein ND is the number of days included in the production simulation time scale; omega B /Ω TG /Ω HG /Ω NEG /Ω TL /Ω D The system is a set of a system bus, a coal-fired unit, a reservoir capacity type hydroelectric generating unit, a new energy unit, a cross-regional connecting line and a load;
is the collection of the power supply or equivalent power supply/load connected on the bus i;
the actual generated energy of a coal-fired unit/reservoir-capacity type hydroelectric generating unit/new energy source unit i in k days;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
replacing PL in the upper standard with VL to represent a physical value at a valley time for an actual output/exchange power/required power of a coal-fired unit/a reservoir capacity type hydroelectric generating unit/a new energy source unit/a cross-regional connecting line/power supply or an equivalent power supply/load i at a peak time of k days; p i T,min /P i H,min The minimum technical output of a coal-fired unit/reservoir-capacity type hydroelectric generating set i; p is i T,max /P i H,max The maximum technical output of the coal-fired unit/reservoir-capacity type hydroelectric generating set i is obtained; alpha is alpha UL /α DL A level of upper/lower load back-up for the system; g l,i Transferring distribution factors for power generation from a line l to a bus i in the power transmission network; p l L,max The transmission capacity limit of the transmission line/transformer l;
the peak shaving capacity constraint of a conventional dispatchable unit is:
wherein, the first and the second end of the pipe are connected with each other,
the number of days contained for the production simulation time scale/the number of hours contained for the kth day; omega TG /Ω HG /Ω D The system is a set of a system coal-fired unit/a reservoir-capacity type hydroelectric generating set/a load;
the actual generating capacity of the reservoir capacity type hydroelectric generating set i in k days is obtained; p t D,Net Load demand at t hours for full system payload;
an indication variable for indicating whether the coal-fired unit i operates on k days, wherein 0 represents that the coal-fired unit i is in a shutdown state, and 1 represents that the coal-fired unit i is in an operating state;
the upward climbing speed of the coal-fired unit i; p i T,max The maximum technical output of the coal-fired unit i.
8. The method according to claim 1, wherein in step S3, the installed capacities of the power sources of the respective types include installed capacities of a coal-fired unit, a reservoir-capacity hydroelectric unit and a new energy unit; the power generation capacity of each type of power supply comprises the actual power generation capacity of a coal-fired unit, a reservoir capacity type hydroelectric generating unit and a new energy unit; the utilization hours of various types of power supplies comprise the average utilization hours of a coal-fired unit, a reservoir type hydroelectric generating set and a new energy unit; the system operation cost comprises the operation cost of a coal-fired unit, the storage capacity type water and electricity abandoning cost and the electricity abandoning cost of a new energy unit; and according to the indexes, checking the economic and technical indexes of the planning scheme by combining the simulated power generation plans of various types of power supplies formulated by production simulation.
9. Method according to claim 8, characterized in that the installed capacity P of the new energy source unit G,Cap Comprises the following steps:
wherein omega G Is a collection of power sources of a certain type; p i G,max The maximum technical output of a certain power supply i is provided;
actual generated energy E of new energy unit G,Gen Comprises the following steps:
wherein omega G Is a collection of power sources of a certain type;
the actual power generation amount of a certain power supply i on the kth day; ND is the number of days included in the production simulation time scale;
average hours of utilization AUH of each type of power supply G Comprises the following steps:
wherein E is G,Gen Is the power generation of a certain type of power supply; p G,Cap For a power supply of some typeInstalled capacity of (d);
operating cost OC of coal-fired unit T Comprises the following steps:
storage type water-electricity abandoned cost OC H Comprises the following steps:
new energy unit abandons electric cost OC NE Comprises the following steps:
wherein ND/ND T /NS/NS D The number of days contained in a production simulation time scale/the number of hours contained in each day/the number of reservoir type hydropower dispatching cycles/the number of days contained in each dispatching cycle; omega TG /Ω R /Ω NEG Is a set of a coal-fired unit/a reservoir/a new energy unit;
the method comprises the following steps of (1) collecting reservoir capacity type hydroelectric generating sets contained in a reservoir j;
the fuel cost/start-up cost/shut-down cost of the coal-fired unit i;
indicating variables for judging whether the coal-fired unit i is started or stopped on k days, wherein 0 represents that the starting/stopping operation is not carried out, and 1 represents that the starting/stopping operation is carried out;
as reservoir capacity type hydroelectric machineGrouping predicted available power generation amount/actual power generation amount in a scheduling period;
predicted output/actual generated energy of the new energy unit; beta is a beta H /β NE The unit electricity abandonment cost of the storage capacity type hydroelectric generating set/new energy generating set.
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