CN113436028B - Power resource analysis method and device - Google Patents
Power resource analysis method and device Download PDFInfo
- Publication number
- CN113436028B CN113436028B CN202010207495.0A CN202010207495A CN113436028B CN 113436028 B CN113436028 B CN 113436028B CN 202010207495 A CN202010207495 A CN 202010207495A CN 113436028 B CN113436028 B CN 113436028B
- Authority
- CN
- China
- Prior art keywords
- power
- consumption
- cost
- resource
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 14
- 238000010248 power generation Methods 0.000 claims abstract description 53
- 238000004088 simulation Methods 0.000 claims abstract description 48
- 230000005611 electricity Effects 0.000 claims abstract description 28
- 238000004364 calculation method Methods 0.000 claims description 18
- 230000007613 environmental effect Effects 0.000 claims description 13
- 230000009466 transformation Effects 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 9
- 230000009194 climbing Effects 0.000 claims description 8
- 238000004146 energy storage Methods 0.000 claims description 8
- 238000005457 optimization Methods 0.000 claims description 8
- 238000009434 installation Methods 0.000 claims description 4
- 239000002699 waste material Substances 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 239000007789 gas Substances 0.000 description 9
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 8
- 239000000047 product Substances 0.000 description 5
- 229910002092 carbon dioxide Inorganic materials 0.000 description 4
- 239000001569 carbon dioxide Substances 0.000 description 4
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 3
- 239000003245 coal Substances 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000005622 photoelectricity Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- 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
-
- 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
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Accounting & Taxation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Data Mining & Analysis (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a power resource analysis method and device. The power resource analysis method comprises the steps of calculating the corresponding installed capacity of the target power resource under different power rejection rates according to the consumption responsibility weight of the target power resource; inputting the corresponding installed capacity under different power rejection rates into a pre-configured simulation system to obtain theoretical consumption corresponding to the installed capacity under different power rejection rates; calculating the theoretical consumption of the target power resource under different power rejection rates, wherein the theoretical consumption is equal to the consumption of the power generation corresponding to the installed capacity; according to the corresponding consumption under the minimum power rejection rate, calculating the cost increment of the power resource corresponding to the minimum power rejection rate under different power rejection rates of the target power resource respectively; and taking the electricity discarding rate with the lowest electricity resource cost increment as the target electricity discarding rate of the target electricity resource. Therefore, the invention can reasonably determine the electricity discarding rate and is beneficial to reducing waste.
Description
Technical Field
The present invention relates to the field of power technologies, and in particular, to a method and an apparatus for analyzing power resources.
Background
With the development of various new energy technologies such as photoelectricity, wind power and the like, the cost of new energy industry is rapidly reduced, and the operation influence of new energy on an electric power system is increasingly remarkable. However, various solutions for improving new energy consumption need to be realized through additional cost of the electric power system. Although the marginal cost of new energy power generation is lower, the new energy consumption needs to pay a certain cost in the aspects of economy, safety and the like, and the unreasonable electricity discarding rate target causes larger waste.
Disclosure of Invention
The embodiment of the invention provides a power resource analysis method and device, which are used for solving the problem of large waste caused by unreasonable power rejection rate targets.
In order to solve the technical problems, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a method for analyzing electric power resources, including the following steps:
according to the consumption responsibility weight of the target power resource, calculating the corresponding installed capacity of the target power resource under different power rejection rates;
inputting the corresponding installed capacity under different power rejection rates into a pre-configured simulation system to obtain theoretical consumption corresponding to the installed capacity under different power rejection rates;
calculating the theoretical consumption of the target power resource under different power rejection rates, wherein the theoretical consumption is equal to the consumption of the power generation corresponding to the installed capacity;
according to the corresponding consumption under the minimum power rejection rate, calculating the cost increment of the power resource corresponding to the minimum power rejection rate under different power rejection rates of the target power resource respectively;
and taking the electricity discarding rate with the lowest electricity resource cost increment as the target electricity discarding rate of the target electricity resource.
Optionally, the calculating the installed capacity of the target power resource corresponding to different power rejection rates according to the consumption responsibility weight of the target power resource includes:
determining the consumption responsibility weight of the target power resource according to the historical data of the power system load and the historical quota data of the target power resource;
calculating the generated energy of the target power resource according to the consumption responsibility weight of the target power resource;
and determining the installed capacity of the target power resource under different power rejection rates according to the generated energy of the target power resource and the theoretical value of the generated energy, wherein the generated energy of the target power resource is equal to the product of the installed capacity, the theoretical value of the generated energy and the power utilization rate, and the sum of the power utilization rate and the power rejection rate is equal to 1.
Optionally, before the corresponding installed capacity under the different power rejection rates is input into a pre-configured simulation system, the method further includes:
configuring a simulation system, wherein the optimization target of the simulation system is that the consumption cost is lowest and the power generation capacity of the target power resource is maximum, and the constraint conditions of the simulation system comprise one or more of power balance constraint conditions, different generator set output constraint conditions, climbing constraint adjustment of different generator sets and energy storage constraint conditions.
Optionally, the calculating the theoretical consumption is equal to the consumption corresponding to the installed capacity when the target power resource generates the power under different power rejection rates, and includes:
if the theoretical consumption is equal to the generated energy corresponding to the installed capacity, taking the theoretical consumption equal to the generated energy as the consumption corresponding to the corresponding power rejection rate;
and if the theoretical consumption is not equal to the generated energy corresponding to the installed capacity, adjusting the theoretical consumption in the simulation system from low to high according to the consumption cost until the theoretical consumption is equal to the generated energy corresponding to the consumption responsibility weight, and taking the theoretical consumption equal to the generated energy as the consumption corresponding to the corresponding power rejection rate.
Optionally, the electricity resource cost increment includes one or more of investment cost, operating cost, and environmental cost; wherein the investment cost includes one or more of an investment increment of a target power resource, a grid investment increment, a power transformation investment increment, and a peak shaving investment increment; the operating costs include a non-fixed increment and a fixed increment proportional to the investment costs, the non-fixed increment including one or more of a genset peak shaver cost and a start-up-shut down cost; the environmental cost is the gas emission cost calculated according to the adjustment cost price.
In a second aspect, an embodiment of the present invention further provides an apparatus for analyzing electric power resources, including:
the installed capacity calculation module is used for calculating the corresponding installed capacity of the target power resource under different power rejection rates according to the consumption responsibility weight of the target power resource;
the simulation module is used for inputting the corresponding installed capacity under different power rejection rates into a pre-configured simulation system to obtain theoretical consumption corresponding to the installed capacity under different power rejection rates;
the consumption calculation module is used for calculating the consumption corresponding to the theoretical consumption equal to the power generation amount corresponding to the installed capacity under different power rejection rates of the target power resource;
the cost increment calculation module is used for calculating the cost increment of the electric power resource corresponding to the minimum power rejection rate under different power rejection rates of the target electric power resource according to the corresponding consumption under the minimum power rejection rate;
and the target power rejection rate determining module is used for taking the power rejection rate with the lowest cost increment of the power resource as the target power rejection rate of the target power resource.
Optionally, the installed capacity calculating module includes:
the consumption responsibility weight determining sub-module is used for determining the consumption responsibility weight of the target power resource according to the historical data of the power system load and the historical quota data of the target power resource;
the power generation amount calculation operator module is used for calculating the power generation amount of the target power resource according to the consumption responsibility weight of the target power resource;
and the installed capacity determining submodule is used for determining the installed capacity of the target electric power resource under different power rejection rates according to the generated energy of the target electric power resource and the theoretical value of the generated energy, wherein the generated energy of the target electric power resource is equal to the product of the installed capacity, the theoretical value of the generated energy and the electric power utilization rate, and the sum of the electric power utilization rate and the power rejection rate is equal to 1.
Optionally, the method further comprises:
the configuration module is used for configuring a simulation system, the optimization target of the simulation system is that the consumption cost is lowest, the power generation capacity of the target power resource is maximum, and the constraint conditions of the simulation system comprise one or more of power balance constraint conditions, different generator set output constraint conditions, climbing constraint adjustment of different generator sets and energy storage constraint conditions.
Optionally, the consumption calculating module is specifically configured to take the theoretical consumption equal to the generated energy corresponding to the generated energy as the consumption corresponding to the corresponding power rejection rate if the theoretical consumption is equal to the generated energy corresponding to the installed capacity;
and the consumption calculation module is further configured to adjust the theoretical consumption in the simulation system from low to high according to the consumption cost if the theoretical consumption is not equal to the power generation amount corresponding to the installed capacity until the theoretical consumption is equal to the power generation amount corresponding to the consumption responsibility weight, and take the theoretical consumption equal to the power generation amount as the consumption corresponding to the corresponding power rejection rate.
Optionally, the electricity resource cost increment includes one or more of investment cost, operating cost, and environmental cost; wherein the investment cost includes one or more of an investment increment of a target power resource, a grid investment increment, a power transformation investment increment, and a peak shaving investment increment; the operating costs include a non-fixed increment and a fixed increment proportional to the investment costs, the non-fixed increment including one or more of a genset peak shaver cost and a start-up-shut down cost; the environmental cost is the gas emission cost calculated according to the adjustment cost price.
According to the embodiment of the invention, according to the consumption responsibility weight of the target power resource, the corresponding installed capacity of the target power resource under different power rejection rates is calculated; inputting the corresponding installed capacity under different power rejection rates into a pre-configured simulation system to obtain theoretical consumption corresponding to the installed capacity under different power rejection rates; calculating the theoretical consumption of the target power resource under different power rejection rates, wherein the theoretical consumption is equal to the consumption of the power generation corresponding to the installed capacity; according to the corresponding consumption under the minimum power rejection rate, calculating the cost increment of the power resource corresponding to the minimum power rejection rate under different power rejection rates of the target power resource respectively; and taking the electricity discarding rate with the lowest electricity resource cost increment as the target electricity discarding rate of the target electricity resource. In this way, by determining the theoretical consumption corresponding to the theoretical different power rejection rates, the embodiment of the invention further uses the consumption corresponding to the theoretical consumption equal to the generated energy corresponding to the installed capacity as the consumption of the target power resource, further calculates the cost increment of the power resource to determine the target, and then determines the corresponding target power rejection rate as the power rejection rate of the target power resource, thereby being capable of determining the power rejection rate relatively reasonably and being beneficial to reducing waste.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
Fig. 1 is a flowchart of a power resource analysis method according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a power resource analysis method.
As shown in fig. 1, in one embodiment, the power resource analysis method includes the steps of:
step 101: and calculating the corresponding installed capacity of the target power resource under different power rejection rates according to the consumption responsibility weight of the target power resource.
In this embodiment, the target power resource mainly refers to various new energy power resources such as wind power, photovoltaic power generation, and the like. It is mainly distinguished from traditional power resources mainly of thermal power.
It should be understood that, in general, the electric power resources are mainly conventional electric power resources such as thermal power and the like, and the new energy electric power resources form important supplements and components of the electric power resources. In order to realize the reform on the power supply side and the energy green low-carbon transformation, a certain digestion liability weight needs to be determined for the target power resource.
In an alternative embodiment, the step 101 specifically includes:
determining theoretical power generation amount of the target power resource in the target year and power resource consumption responsibility weight according to historical data of the power system load and load growth prediction data;
calculating the generated energy of the target power resource according to the consumption responsibility weight of the target power resource;
and determining the installed capacity of the target power resource under different power rejection rates according to the generated energy of the target power resource and the theoretical value of the generated energy, wherein the generated energy of the target power resource is equal to the product of the installed capacity, the theoretical value of the generated energy and the power utilization rate, and the sum of the power utilization rate and the power rejection rate is equal to 1.
It should be understood that the generated power of the electric power resource typified by thermal power is highly controllable, while the generated power stability of the new energy electric power resource is relatively poor, for example, wind power and photoelectricity are greatly affected by weather conditions. Therefore, in the present embodiment, one power generation amount is estimated from the history data of the power system load and the load increase prediction data as the theoretical power generation amount of the target power resource in the target year, where the target year refers to the year in which the prediction and analysis are performed.
In implementation, the theoretical power generation amount of the target power resource can be estimated by taking the related data of the prior year in general as a reference, and meanwhile, the consumption responsibility weight is estimated by the energy green transformation requirement, and the consumption responsibility weight is usually a percentage, for example, estimated to be various values such as 15%.
Further, the power generation amount is calculated according to the estimated consumption responsibility weight, and the total power generation amount is taken as A kilowatt-hour as an example, if the consumption responsibility weight of the target power resource is 15%, the power generation amount of the target power resource is 15%.
Further, the installed sequences corresponding to different power rejection rates are calculated by combining parameters such as the output characteristics of the target power resource.
For example, if the output characteristic of wind power is 65% to 70%, a wind farm with a loading capacity of 49.5 megawatts has a maximum output of 32.2 to 34.65 megawatts.
The power generation amount of the target power resource is equal to the product of the machine capacity, the theoretical value of the power generation amount, and the power utilization ratio, and the sum of the power utilization ratio and the power rejection ratio is equal to 1, and it is understood that the actual power generation amount=the machine capacity×the theoretical power generation amount×the power utilization ratio, and here, the power utilization ratio=1-the power rejection ratio.
Thus, by providing different power rejection rate values, the corresponding installed capacity can be calculated. In this embodiment, a power rejection rate range, for example, 1% to 10%, may be set, and then the installed capacities corresponding to the different power rejection rates are calculated, and in this embodiment, each percentage point is calculated once, so that the installed capacities corresponding to 10 total power rejection rate values of 1% to 10% can be obtained.
Step 102: and inputting the corresponding installed capacity under the different power rejection rates into a pre-configured simulation system to obtain the theoretical consumption corresponding to the installed capacity under the different power rejection rates.
In this embodiment, a simulation model is pre-established for analyzing and simulating power resource data of a specific area. In practice, a corresponding simulation system may be built based on the relevant data for a particular region.
In one embodiment, the configuration of the simulation system is performed specifically by:
configuring a simulation system, wherein the optimization target of the simulation system is that the consumption cost is lowest and the power generation capacity of the target power resource is maximum, and the constraint conditions of the simulation system comprise one or more of power balance constraint conditions, different generator set output constraint conditions, climbing constraint adjustment of different generator sets and energy storage constraint conditions.
In the present embodiment, the expression (1) is taken as an optimization target of the simulation system, wherein P i (t) is the output of the unit at the moment i of t, a i For the marginal power generation cost of the i unit, for example, the marginal power generation cost of the thermal power unit is highest, the marginal power generation cost of the renewable energy source is close to zero, W i (t) is the energy rejection of the i units, c i And a penalty factor for energy rejection of the i machine sets can be set according to actual conditions.
After the optimization objective is determined, a constraint condition is built according to the characteristics of the specific area, wherein the constraint condition mainly comprises one or more of a power balance constraint condition, different generator set output constraint conditions, climbing constraint adjustment of different generator sets and an energy storage constraint condition.
The power balance constraint condition mainly deserves to be a constraint condition established based on the magnitude relation between the power consumption amount and the power generation amount, and the power generation amount should be equal to the power consumption amount at any time. The different generator set output constraints are worth the fact that the generator set in operation must be less than its maximum power generation capacity in terms of power generation processing. Climbing of different generator sets. Constraint adjustment refers to adjusting the ratio of the maximum output to the rated capacity per minute. Energy storage constraints refer to the storage capacity for a target power resource.
Furthermore, the simulation system can also introduce related data such as regional load characteristics, power grid characteristics, various power installation and regulation characteristics of various thermal power, hydropower, pumping and storage and the like, and is beneficial to improving the accuracy of simulation.
Step 103: and calculating the corresponding consumption of the target power resource when the theoretical consumption is equal to the generated energy corresponding to the installed capacity under different power rejection rates.
The theoretical consumption in this embodiment is a theoretical value obtained by inputting the calculated installed capacities corresponding to the different power rejection rates into the simulation system, and it is understood that in this step, the consumption in the case where the theoretical value and the actual value are equal needs to be determined as the consumption corresponding to the corresponding power rejection rate.
For example, the installed capacity of the input simulation system corresponds to an actual power rejection rate, if the corresponding theoretical amount of consumption obtained through simulation is 97%, the simulated power rejection rate is actually 3%, and if the actual power rejection rate and the simulated power rejection rate are not equal, an adjustment is required to make the actual power rejection rate equal to the simulated power rejection rate, that is, the theoretical amount of consumption equal to the amount of generated power.
In one embodiment, the step 103 specifically includes
If the theoretical consumption is equal to the generated energy corresponding to the installed capacity, taking the theoretical consumption equal to the generated energy as the consumption corresponding to the corresponding power rejection rate;
and if the theoretical consumption is not equal to the generated energy corresponding to the installed capacity, adjusting the theoretical consumption in the simulation system from low to high according to the consumption cost until the theoretical consumption is equal to the generated energy corresponding to the consumption responsibility weight, and taking the theoretical consumption equal to the generated energy as the consumption corresponding to the corresponding power rejection rate.
It should be understood that if the theoretical amount of consumption obtained by calculation is equal to the amount of power generation corresponding to the installed capacity, that is, the actual power rejection rate and the simulated power rejection rate are equal, the theoretical amount of consumption may be regarded as the amount of consumption corresponding to the power rejection rate.
And if the theoretical consumption is not equal to the generated energy corresponding to the installed capacity, adjusting the theoretical consumption in the simulation system from low to high according to the consumption cost in the simulation system, so that when the theoretical consumption is equal to the generated energy corresponding to the consumption responsibility weight, the corresponding cost is also the lowest.
Step 104: and respectively calculating the cost increment of the electric power resource corresponding to the minimum power discarding rate under different power discarding rates of the target electric power resource according to the corresponding consumption under the minimum power discarding rate.
After the consumption corresponding to each power rejection rate is determined, further calculating the power resource cost increment corresponding to different power rejection rates by taking the consumption corresponding to the minimum power rejection rate as a reference.
It should be understood that various additional costs such as construction costs, equipment and management costs required for peak shaving are additionally incurred in the grid-connected power generation process of the target power resource, and thus, it is necessary to comprehensively consider these costs to determine an appropriate power rejection rate.
In an alternative embodiment, the power resource cost increment is considered to include one or more of investment cost IA, operating cost FA, and environmental cost EA.
The investment cost mainly comprises an investment increment (or called an increment new energy investment annual value), a power grid investment increment (or called an increment power grid investment annual value), an electric power transformation investment increment (or called an increment thermal power flexibility transformation investment annual value) and a peak regulation investment increment (or called an increment peak regulation power supply construction investment annual value) of a target electric power resource compared with a reference scene.
In one embodiment, it is calculated by the following formula (2):
wherein I is num 、r num And n num And (3) respectively representing corresponding investment, embodiment rate and operation life, and num=re, grid, ftp and fp respectively representing new energy, power grid, thermal power flexibility transformation and peak regulation power supply.
The operating cost comprises an unfixed increment and a fixed increment, wherein the unfixed increment comprises one or more of peak regulation cost and start-stop cost of the generator set, and the fixed operating cost is directly proportional to project investment, namely the investment increment is directly proportional and is irrelevant to the operating power generation state of equipment.
The running cost can be calculated from the formula (3).
Wherein R is num For the fixed running rate of the power supply, DC and DG are incremental coal consumption and gas consumption, P coal And P gas The coal price and the gas price.
The environmental cost is the gas emission cost calculated according to the adjustment cost price, and in this embodiment, it is considered that the emissions of the nitrogen oxide and the like emitted in the process all meet the relevant requirements, and the gas emission cost is not increased, so that the gas emission cost mainly comes from the carbon dioxide emission increase caused by thermal power peak shaving.
The environmental cost can be calculated by the following formula (4):
wherein SE is e And SE g Incremental carbon dioxide emission is respectively carried out for the coal-fired unit and the gas-fired unit,
costs for carbon dioxide emissions, such as the fees assessed for carbon dioxide emissions.
Step 105: and taking the electricity discarding rate with the lowest electricity resource cost increment as the target electricity discarding rate of the target electricity resource.
And the finally determined electricity rejection rate is used as a target electricity rejection rate and used for guiding target power resources of the area to generate electricity, so that the electricity rejection rate is reasonably controlled, and the electricity generation and consumption cost is reduced.
In this way, by determining the theoretical consumption corresponding to the theoretical different power rejection rates, the embodiment of the invention further uses the consumption corresponding to the theoretical consumption equal to the generated energy corresponding to the installed capacity as the consumption of the target power resource, further calculates the cost increment of the power resource to determine the target, and then determines the corresponding target power rejection rate as the power rejection rate of the target power resource, thereby being capable of determining the power rejection rate relatively reasonably and being beneficial to reducing waste.
The embodiment of the invention also provides a power resource analysis device, which comprises:
the installed capacity calculation module is used for calculating the corresponding installed capacity of the target power resource under different power rejection rates according to the consumption responsibility weight of the target power resource;
the simulation module is used for inputting the corresponding installed capacity under different power rejection rates into a pre-configured simulation system to obtain theoretical consumption corresponding to the installed capacity under different power rejection rates;
the consumption calculation module is used for calculating the consumption corresponding to the theoretical consumption equal to the power generation amount corresponding to the installed capacity under different power rejection rates of the target power resource;
the cost increment calculation module is used for calculating the cost increment of the electric power resource corresponding to the minimum power rejection rate under different power rejection rates of the target electric power resource according to the corresponding consumption under the minimum power rejection rate;
and the target power rejection rate determining module is used for taking the power rejection rate with the lowest cost increment of the power resource as the target power rejection rate of the target power resource.
Optionally, the installed capacity calculating module includes:
the consumption responsibility weight determining sub-module is used for determining the consumption responsibility weight of the target power resource according to the historical data of the power system load and the historical quota data of the target power resource;
the power generation amount calculation operator module is used for calculating the power generation amount of the target power resource according to the consumption responsibility weight of the target power resource;
and the installed capacity determining submodule is used for determining the installed capacity of the target electric power resource under different power rejection rates according to the generated energy of the target electric power resource and the theoretical value of the generated energy, wherein the generated energy of the target electric power resource is equal to the product of the installed capacity, the theoretical value of the generated energy and the electric power utilization rate, and the sum of the electric power utilization rate and the power rejection rate is equal to 1.
Optionally, the method further comprises:
the configuration module is used for configuring a simulation system, the optimization target of the simulation system is that the consumption cost is lowest, the power generation capacity of the target power resource is maximum, and the constraint conditions of the simulation system comprise one or more of power balance constraint conditions, different generator set output constraint conditions, climbing constraint adjustment of different generator sets and energy storage constraint conditions.
Optionally, the consumption calculating module is specifically configured to take the theoretical consumption equal to the generated energy corresponding to the generated energy as the consumption corresponding to the corresponding power rejection rate if the theoretical consumption is equal to the generated energy corresponding to the installed capacity;
and the consumption calculation module is further configured to adjust the theoretical consumption in the simulation system from low to high according to the consumption cost if the theoretical consumption is not equal to the power generation amount corresponding to the installed capacity until the theoretical consumption is equal to the power generation amount corresponding to the consumption responsibility weight, and take the theoretical consumption equal to the power generation amount as the consumption corresponding to the corresponding power rejection rate.
Optionally, the electricity resource cost increment includes one or more of investment cost, operating cost, and environmental cost; wherein the investment cost includes one or more of an investment increment of a target power resource, a grid investment increment, a power transformation investment increment, and a peak shaving investment increment; the operating costs include a non-fixed increment and a fixed increment proportional to the investment costs, the non-fixed increment including one or more of a genset peak shaver cost and a start-up-shut down cost; the environmental cost is the gas emission cost calculated according to the adjustment cost price.
The power resource analysis device of the present embodiment can implement each step of the foregoing power resource analysis method embodiment, and can implement substantially the same technical effects, which are not described herein again.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (2)
1. A method of power resource analysis, comprising the steps of:
according to the consumption responsibility weight of the target power resource, calculating the corresponding installed capacity of the target power resource under different power rejection rates;
inputting the corresponding installed capacity under different power rejection rates into a pre-configured simulation system to obtain theoretical consumption corresponding to the installed capacity under different power rejection rates;
calculating the theoretical consumption of the target power resource under different power rejection rates, wherein the theoretical consumption is equal to the consumption of the power generation corresponding to the installed capacity;
according to the corresponding consumption under the minimum power rejection rate, calculating the cost increment of the power resource corresponding to the minimum power rejection rate under different power rejection rates of the target power resource respectively;
taking the power rejection rate with the lowest power resource cost increment as a target power rejection rate of the target power resource;
according to the consumption responsibility weight of the target power resource, calculating the corresponding installed capacity of the target power resource under different power rejection rates comprises the following steps:
determining theoretical power generation amount of the target power resource in the target year and power resource consumption responsibility weight according to historical data of the power system load and load growth prediction data;
calculating the generated energy of the target power resource according to the consumption responsibility weight of the target power resource;
determining the installed capacity of the target power resource under different power rejection rates according to the generated energy of the target power resource and the theoretical value of the generated energy, wherein the generated energy of the target power resource is equal to the product of the installed capacity, the theoretical value of the generated energy and the power utilization rate, and the sum of the power utilization rate and the power rejection rate is equal to 1;
before the corresponding installed capacity under the different power rejection rates is input into a pre-configured simulation system, the method further comprises the following steps:
configuring a simulation system, wherein the optimization target of the simulation system is that the consumption cost is lowest and the power generation capacity of the target power resource is maximum, and the constraint conditions of the simulation system comprise one or more of power balance constraint conditions, different generator set output constraint conditions, climbing constraint adjustment of different generator sets and energy storage constraint conditions;
the calculating the theoretical consumption of the target power resource under different power rejection rates, which is equal to the consumption corresponding to the installed capacity when the generated energy is generated, comprises the following steps:
if the theoretical consumption is equal to the generated energy corresponding to the installed capacity, taking the theoretical consumption equal to the generated energy as the consumption corresponding to the corresponding power rejection rate;
if the theoretical consumption is not equal to the generated energy corresponding to the installed capacity, adjusting the theoretical consumption in the simulation system from low to high according to the consumption cost until the theoretical consumption is equal to the generated energy corresponding to the consumption responsibility weight, and taking the theoretical consumption equal to the generated energy as the consumption corresponding to the corresponding power rejection rate;
the electricity resource cost increment includes one or more of investment cost, operating cost, and environmental cost; wherein the investment cost includes one or more of an investment increment of a target power resource, a grid investment increment, a power transformation investment increment, and a peak shaving investment increment; the operating costs include a non-fixed increment and a fixed increment proportional to the investment costs, the non-fixed increment including one or more of a genset peak shaver cost and a start-up-shut down cost; the environmental cost is the gas emission cost calculated according to the adjustment cost price.
2. An electric power resource analysis device, comprising:
the installed capacity calculation module is used for calculating the corresponding installed capacity of the target power resource under different power rejection rates according to the consumption responsibility weight of the target power resource;
the simulation module is used for inputting the corresponding installed capacity under different power rejection rates into a pre-configured simulation system to obtain theoretical consumption corresponding to the installed capacity under different power rejection rates;
the consumption calculation module is used for calculating the consumption corresponding to the theoretical consumption equal to the power generation amount corresponding to the installed capacity under different power rejection rates of the target power resource;
the cost increment calculation module is used for calculating the cost increment of the electric power resource corresponding to the minimum power rejection rate under different power rejection rates of the target electric power resource according to the corresponding consumption under the minimum power rejection rate;
the target power rejection rate determining module is used for taking the power rejection rate with the lowest cost increment of the power resource as the target power rejection rate of the target power resource;
the installed capacity calculation module includes:
the consumption responsibility weight determining sub-module is used for determining theoretical power generation amount and power resource consumption responsibility weight of the target power resource in the target year according to the historical data and the load growth prediction data of the power system load;
the power generation amount calculation operator module is used for calculating the power generation amount of the target power resource according to the consumption responsibility weight of the target power resource;
the installation capacity determining submodule is used for determining the installation capacity of the target power resource under different power rejection rates according to the generated energy of the target power resource and the theoretical value of the generated energy, wherein the generated energy of the target power resource is equal to the product of the installation capacity, the theoretical value of the generated energy and the power utilization rate, and the sum of the power utilization rate and the power rejection rate is equal to 1;
further comprises:
the configuration module is used for configuring a simulation system, the optimization target of the simulation system is that the consumption cost is lowest, the power generation capacity of the target power resource is maximum, and the constraint conditions of the simulation system comprise one or more of power balance constraint conditions, different generator set output constraint conditions, climbing constraint adjustment of different generator sets and energy storage constraint conditions;
the consumption calculation module is specifically configured to take the theoretical consumption equal to the generated energy corresponding to the generated energy as the consumption corresponding to the corresponding power rejection rate if the theoretical consumption is equal to the generated energy corresponding to the installed capacity;
the consumption calculation module is further configured to adjust, from low to high, the theoretical consumption in the simulation system according to the consumption cost if the theoretical consumption is not equal to the power generation amount corresponding to the installed capacity, until the theoretical consumption is equal to the power generation amount corresponding to the consumption responsibility weight, and take the theoretical consumption equal to the power generation amount as the consumption corresponding to the corresponding power rejection rate;
the electricity resource cost increment includes one or more of investment cost, operating cost, and environmental cost; wherein the investment cost includes one or more of an investment increment of a target power resource, a grid investment increment, a power transformation investment increment, and a peak shaving investment increment; the operating costs include a non-fixed increment and a fixed increment proportional to the investment costs, the non-fixed increment including one or more of a genset peak shaver cost and a start-up-shut down cost; the environmental cost is the gas emission cost calculated according to the adjustment cost price.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010207495.0A CN113436028B (en) | 2020-03-23 | 2020-03-23 | Power resource analysis method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010207495.0A CN113436028B (en) | 2020-03-23 | 2020-03-23 | Power resource analysis method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113436028A CN113436028A (en) | 2021-09-24 |
| CN113436028B true CN113436028B (en) | 2023-04-28 |
Family
ID=77752492
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010207495.0A Active CN113436028B (en) | 2020-03-23 | 2020-03-23 | Power resource analysis method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113436028B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105389645A (en) * | 2015-10-16 | 2016-03-09 | 中国南方电网有限责任公司电网技术研究中心 | Supply-demand balance analysis method and supply-demand balance analysis system based on electric power, electric quantity and peak regulation balance |
| CN108695893A (en) * | 2018-06-13 | 2018-10-23 | 国网能源研究院有限公司 | A kind of provincial power network new energy abandons electricity influence factor decomposition method |
| CN109508894A (en) * | 2018-11-27 | 2019-03-22 | 国网能源研究院有限公司 | Power System Planning method is coordinated in the storage of one provenance net lotus |
| CN110648249A (en) * | 2019-09-23 | 2020-01-03 | 广西电网有限责任公司 | Annual power balance measuring and calculating method, device and equipment |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9098876B2 (en) * | 2013-05-06 | 2015-08-04 | Viridity Energy, Inc. | Facilitating revenue generation from wholesale electricity markets based on a self-tuning energy asset model |
-
2020
- 2020-03-23 CN CN202010207495.0A patent/CN113436028B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105389645A (en) * | 2015-10-16 | 2016-03-09 | 中国南方电网有限责任公司电网技术研究中心 | Supply-demand balance analysis method and supply-demand balance analysis system based on electric power, electric quantity and peak regulation balance |
| CN108695893A (en) * | 2018-06-13 | 2018-10-23 | 国网能源研究院有限公司 | A kind of provincial power network new energy abandons electricity influence factor decomposition method |
| CN109508894A (en) * | 2018-11-27 | 2019-03-22 | 国网能源研究院有限公司 | Power System Planning method is coordinated in the storage of one provenance net lotus |
| CN110648249A (en) * | 2019-09-23 | 2020-01-03 | 广西电网有限责任公司 | Annual power balance measuring and calculating method, device and equipment |
Non-Patent Citations (1)
| Title |
|---|
| 沈超 ; 秦潇 ; 李永刚 ; .考虑发电侧成本的新能源消纳能力评估.电力科学与工程.2016,(第11期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113436028A (en) | 2021-09-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Rajan et al. | Primary frequency control techniques for large-scale PV-integrated power systems: A review | |
| Bevrani et al. | Renewable energy sources and frequency regulation: survey and new perspectives | |
| CN103020853B (en) | Method for checking short-term trade plan safety | |
| US11245261B2 (en) | Method for controlling a wind power plant | |
| Shourangiz-Haghighi et al. | Developing more efficient wind turbines: A survey of control challenges and opportunities | |
| Zhang et al. | Self-adaptive secondary frequency regulation strategy of micro-grid with multiple virtual synchronous generators | |
| Rueda et al. | Impacts of large scale integration of wind power on power system small-signal stability | |
| CN115842359B (en) | Wind-solar energy storage station primary frequency modulation standby setting method considering dynamic frequency modulation performance | |
| CN105375533A (en) | An operation mode prediction method for an independent micro-grid involving renewable energy sources of wind and light | |
| CN109088427B (en) | Method and system for determining minimum starting-up scheme of conventional unit in AC/DC hybrid power grid | |
| CN115224746A (en) | Multi-scene cluster coordination control method, device and system for offshore wind power | |
| Martínez–Lucas et al. | Combined hydro-wind frequency control scheme: Modal analysis and isolated power system case example | |
| CN108429249A (en) | A kind of the economic results in society computational methods and system of electric system peak-frequency regulation | |
| Peng et al. | Online inertia allocation for grid-connected renewable energy systems based on generic ASF model under frequency nadir constraint | |
| CN113436028B (en) | Power resource analysis method and device | |
| CN105976046B (en) | Low-carbon power grid planning method considering demand side management | |
| Zhang et al. | Research on frequency regulation strategy based on model predictive control for wind-hydro-storage complementary microgrid | |
| Roy et al. | D-STATCOM control in distribution networks with composite loads to ensure grid code compatible performance of photovoltaic generators | |
| Bryant et al. | Impact of FCAS market rules on Australia’s National Electricity Market dynamic stability | |
| CN116093978B (en) | Self-contained power plant and load coordination control method and system oriented to power grid frequency modulation, electronic equipment and readable medium | |
| Choube | Research on fuzzy logic-based wind grid system to improve power quality | |
| O’Malley et al. | Grand challenges of Wind Energy Science–Meeting the needs and services of the power system | |
| Singh et al. | Real-time conservation voltage reduction and control in smart micro-grid application | |
| Elgammal et al. | Optimal control strategy for a marine current farm integrated with a hybrid PV system/offshore wind/battery energy storage system | |
| KR102538077B1 (en) | System and method for forecasting maximum generation limit of renewable energy |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |