CN113541195A - Method for consuming high-proportion renewable energy in future power system - Google Patents
Method for consuming high-proportion renewable energy in future power system Download PDFInfo
- Publication number
- CN113541195A CN113541195A CN202110871763.3A CN202110871763A CN113541195A CN 113541195 A CN113541195 A CN 113541195A CN 202110871763 A CN202110871763 A CN 202110871763A CN 113541195 A CN113541195 A CN 113541195A
- Authority
- CN
- China
- Prior art keywords
- power
- renewable energy
- photovoltaic
- output
- wind power
- 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.)
- Granted
Links
Images
Classifications
-
- 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
- H02J3/381—Dispersed generators
-
- 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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
-
- 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
-
- 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]
-
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
-
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
-
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- 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
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A method for consuming high-proportion renewable energy in a future power system includes the steps of firstly calculating historical typical annual load rate, wind power typical annual output rate and photovoltaic typical annual output rate of the power system, then calculating wind power and photovoltaic output curves of the power system in the future according to obtained data, then determining an upper envelope line of a wind power-photovoltaic combined solar output curve, judging consumption difficulty level of the high-proportion renewable energy in the future by comparing the upper envelope line of the wind power-photovoltaic combined solar output curve with the historical daily load curve of the system, and finally adopting a consumption strategy corresponding to the difficulty level. The design realizes accurate evaluation of the renewable energy consumption difficulty and ensures effectiveness of implementation of the renewable energy consumption strategy.
Description
Technical Field
The invention belongs to the field of energy consumption of power systems, and particularly relates to a method for consuming high-proportion renewable energy in a future power system.
Background
With the continuous development of power grids, the energy supply structure and the power load demand characteristics of a power system can be changed remarkably, and the installed capacities of wind power generation and photovoltaic power generation can also show a continuous rising trend. Under the high-proportion scene, the total installed capacities of the wind power generation and the photovoltaic power generation in China are respectively up to 2.2TW and 5.1TW until 2050, and the power generation capacity of the non-water renewable energy sources in local areas accounts for more than 30%. Therefore, under the condition of grid connection of high-proportion new energy, whether the renewable energy can be consumed or not and what consumption strategy is adopted to realize the consumption of the renewable energy are the first problems faced by the future power grid.
Under present technical conditions, a renewable energy consumption method is mainly carried out from three aspects of source, load and storage, wherein a thermal power unit flexible transformation strategy is mainly adopted on a power supply side, and the method has the defects of low regulating capacity and high investment cost; on the load side, the electricity utilization behavior of a user is mainly regulated through a certain motor policy and an incentive policy, so that the purpose of reducing the load peak-valley difference is achieved, and the mode has the defect of untimely response; on the energy storage side, the main measure is an electrochemical energy storage power station, but the electrochemical energy storage power station has higher unit energy storage cost, difficult recovery and treatment and larger environmental pollution.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a method for consuming a high proportion of renewable energy in a future power system, which guides the consumption of the renewable energy through source-load characteristic prediction.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
a method for consuming high-proportion renewable energy in a future power system sequentially comprises the following steps:
step one, calculating the historical typical annual load rate, the wind power typical annual output rate and the photovoltaic typical annual output rate of a power system;
step two, calculating wind power and photovoltaic output curves of a future power system according to the data obtained in the step one, and then determining an upper envelope line of the wind power-photovoltaic combined solar output curve;
and step three, judging the consumption difficulty level of the future high-proportion renewable energy sources by comparing the upper envelope curve of the wind power-photovoltaic combined sunrise curve with the historical daily load curve of the system, and then adopting a consumption strategy corresponding to the difficulty level to promote the consumption of the renewable energy sources.
The third step is specifically as follows:
if the upper envelope line of the wind power-photovoltaic combined sunrise curve is lower than the load of the system on the historical minimum load day, the difficulty in the consumption of the renewable energy is judged to be low, and the consumption of the renewable energy can be promoted by improving the adjusting capability of other matched power supplies in the area;
if the upper envelope curve of the wind power-photovoltaic combined sunrise curve is higher than the load of the system historical maximum load day and is lower than 1.5 times of the average load of the system historical day, the difficulty in the consumption of the renewable energy is judged to be high, and the following measures can be adopted:
constructing a large pumped storage power station or an energy storage power station;
establishing a reasonable electricity price policy, and establishing peak-valley electricity prices or time-of-use electricity prices at a power generation side and a power utilization side;
the construction of a trans-regional power grid is enhanced, the capacity of a power transmission channel is enlarged, the electric quantity of renewable energy sources in a region is transmitted to other load centers, and peak shifting of different regions are fully exerted;
if the upper envelope line of the wind power-photovoltaic combined sunrise curve is 1.5 times higher than the average daily load of the system history, the difficulty in the consumption of the renewable energy is very high, and the following measures can be adopted:
developing a wind-light-water-storage integrated micro-grid in a renewable energy resource enrichment area;
the second industry with higher energy consumption is transferred to a renewable energy center, and the local consumption of renewable energy is promoted.
The measures for promoting the consumption of the renewable energy sources by improving the regulation capacity of other matched power sources in the district comprise:
the method comprises the following steps of carrying out flexible modification on a thermal power generating unit, encouraging deep peak shaving of the thermal power generating unit, and enabling renewable energy to obtain a power generation space;
the coal-fired unit is subjected to elastic operation control, a heat storage device is added to realize thermoelectric decoupling, heat is supplied through the heat storage device in a period of difficult peak regulation, forced heat supply output is reduced, and abundant heat is stored in a period of allowance for peak regulation;
the hydropower station is encouraged to participate in system peak shaving, for the reservoir capacity type hydropower station, the unit output is reduced by reducing water discharge in the peak output period of the system, and the unit output is improved by increasing water discharge in the valley output period of the system;
building a gas power station, and promoting the consumption of renewable energy sources by using a gas unit;
and small pumped storage power stations are built around the renewable energy plant sites, redundant electric power is pumped for storage when the renewable energy output is in a peak, and the potential energy of the stored water is used for power generation when the renewable energy output is in a valley.
The second step comprises the following steps in sequence:
2.1, respectively calculating the annual output rate of future wind power and photovoltaic power according to the following formula:
in the above formula, ρw、ρpRespectively the annual output rate, alpha, of wind power and photovoltaic power in the futurew、αpRespectively the proportion of wind power output and photovoltaic output in the power system year round in the future,is a system history dictionaryAnnual load rate;
2.2, respectively calculating the output correction coefficients of wind power and photovoltaic power according to the following formula:
in the above formula, betaw、βpRespectively are the output correction coefficients of wind power and photovoltaic,respectively representing typical annual output rates of wind power and photovoltaic power;
2.3, respectively calculating the output curves of future wind power and photovoltaic power according to the following formulas:
in the above formula, the first and second carbon atoms are,the output of wind power and photovoltaic power in the t hour in the future is respectively 1,2, …,8760, respectively outputting the wind power and the photovoltaic power in the historical tth hour;
2.4, calculating an upper envelope line of a future wind power-photovoltaic combined sunrise curve according to the following formula
In the above formula, the first and second carbon atoms are,the envelope curves are the upper envelope curves of future wind power and photovoltaic sunrise curves respectively, tau is the hours of the sunrise curves, and tau is 1,2, … and 24, and tau is t \24, wherein tau is t and the remainder is taken for 24.
The first step is specifically as follows:
firstly, collecting typical load of system history 8760h, typical wind power output of 8760h and typical photovoltaic output data of 8760h by taking hours as units, and then calculating by adopting the following formula to obtain the typical annual load rate of the system historyTypical annual wind power output ratePhotovoltaic typical annual output rate
In the above formula, the first and second carbon atoms are,the load of the system at the historical time t,respectively the output of wind power and photovoltaic power in the historical tth hour, PmaxIs the historical maximum load of the system.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention discloses a method for absorbing high-proportion renewable energy in a future power system, which comprises the steps of firstly calculating the historical typical annual load rate, the wind power typical annual output rate and the photovoltaic typical annual output rate of the power system, then calculating the wind power and photovoltaic output curves of the power system in the future according to the obtained data, then determining the upper envelope curve of the wind power-photovoltaic combined solar output curve, judging the absorption difficulty level of the high-proportion renewable energy in the future by comparing the upper envelope curve of the wind power-photovoltaic combined solar output curve with the historical daily load curve of the system, and finally adopting an absorption strategy corresponding to the difficulty level to promote the absorption of the renewable energy The conflict degree of future power output and system requirements can be visually analyzed, so that the accuracy of evaluation of the consumption difficulty of the renewable energy source can be guaranteed, and the effectiveness of implementation of a corresponding consumption strategy in the later period is guaranteed. Therefore, the method and the device realize accurate evaluation of the consumption difficulty of the renewable energy source and ensure the effectiveness of implementation of the renewable energy source consumption strategy.
2. The invention provides a compound power supply transformation scheme aiming at the condition of low difficulty in the consumption of renewable energy sources in a future power system, namely, thermal power, hydropower, a gas turbine unit and small pumped storage combined regulation are relied on, and compared with the traditional consumption method which relies on thermal power flexibility transformation, the consumption method has the advantages that the cost is relatively low and the regulation capacity of the system is improved; aiming at the situation that the consumption difficulty of renewable energy sources is high, a network-charge-storage combination scheme is provided, namely, intercommunicating interconnection of all regions is enlarged on the side of a power grid to realize peak shifting and peak shifting, a large pumped storage power station or an energy storage power station is relied on the side of a power supply, and the electricity consumption behavior of a user is regulated on the side of a load by virtue of a price policy; the method is characterized in that a measure for developing a wind-light-water-storage integrated micro-grid is provided for the extreme condition that the renewable energy consumption difficulty is very high, wind power and photovoltaic resources are divided into small units to realize local consumption, the whole strategy can remarkably promote the consumption of the renewable energy, and the problems of weak system regulation capability, high investment cost, large environmental pollution and the like of the existing consumption method can be solved. Therefore, the invention not only can remarkably promote the consumption of renewable energy sources, but also solves the problems of weak system regulation capability, high investment cost, great environmental pollution and the like.
Drawings
Fig. 1 is a source-to-charge characteristic curve of 30% of electric quantity of renewable energy in example 1 of the present invention.
Fig. 2 is a source-to-charge characteristic curve of 50% of the electric quantity of renewable energy in example 1 of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the detailed description of the invention.
A method for consuming high-proportion renewable energy in a future power system sequentially comprises the following steps:
step one, calculating the historical typical annual load rate, the wind power typical annual output rate and the photovoltaic typical annual output rate of a power system;
step two, calculating wind power and photovoltaic output curves of a future power system according to the data obtained in the step one, and then determining an upper envelope line of the wind power-photovoltaic combined solar output curve;
and step three, judging the consumption difficulty level of the future high-proportion renewable energy sources by comparing the upper envelope curve of the wind power-photovoltaic combined sunrise curve with the historical daily load curve of the system, and then adopting a consumption strategy corresponding to the difficulty level to promote the consumption of the renewable energy sources.
The third step is specifically as follows:
if the upper envelope line of the wind power-photovoltaic combined sunrise curve is lower than the load of the system on the historical minimum load day, the difficulty in the consumption of the renewable energy is judged to be low, and the consumption of the renewable energy can be promoted by improving the adjusting capability of other matched power supplies in the area;
if the upper envelope curve of the wind power-photovoltaic combined sunrise curve is higher than the load of the system historical maximum load day and is lower than 1.5 times of the average load of the system historical day, the difficulty in the consumption of the renewable energy is judged to be high, and the following measures can be adopted:
constructing a large pumped storage power station or an energy storage power station;
establishing a reasonable electricity price policy, and establishing peak-valley electricity prices or time-of-use electricity prices at a power generation side and a power utilization side;
the construction of a trans-regional power grid is enhanced, the capacity of a power transmission channel is enlarged, the electric quantity of renewable energy sources in a region is transmitted to other load centers, and peak shifting of different regions are fully exerted;
if the upper envelope line of the wind power-photovoltaic combined sunrise curve is 1.5 times higher than the average daily load of the system history, the difficulty in the consumption of the renewable energy is very high, and the following measures can be adopted:
developing a wind-light-water-storage integrated micro-grid in a renewable energy resource enrichment area;
the second industry with higher energy consumption is transferred to a renewable energy center, and the local consumption of renewable energy is promoted.
The measures for promoting the consumption of the renewable energy sources by improving the regulation capacity of other matched power sources in the district comprise:
the method comprises the following steps of carrying out flexible modification on a thermal power generating unit, encouraging deep peak shaving of the thermal power generating unit, and enabling renewable energy to obtain a power generation space;
the coal-fired unit is subjected to elastic operation control, a heat storage device is added to realize thermoelectric decoupling, heat is supplied through the heat storage device in a period of difficult peak regulation, forced heat supply output is reduced, and abundant heat is stored in a period of allowance for peak regulation;
the hydropower station is encouraged to participate in system peak shaving, for the reservoir capacity type hydropower station, the unit output is reduced by reducing water discharge in the peak output period of the system, and the unit output is improved by increasing water discharge in the valley output period of the system;
building a gas power station, and promoting the consumption of renewable energy sources by using a gas unit;
and small pumped storage power stations are built around the renewable energy plant sites, redundant electric power is pumped for storage when the renewable energy output is in a peak, and the potential energy of the stored water is used for power generation when the renewable energy output is in a valley.
The second step comprises the following steps in sequence:
2.1, respectively calculating the annual output rate of future wind power and photovoltaic power according to the following formula:
in the above formula, ρw、ρpRespectively the annual output rate, alpha, of wind power and photovoltaic power in the futurew、αpRespectively the proportion of wind power output and photovoltaic output in the power system year round in the future,is the typical annual load rate of the system history;
2.2, respectively calculating the output correction coefficients of wind power and photovoltaic power according to the following formula:
in the above formula, betaw、βpRespectively are the output correction coefficients of wind power and photovoltaic,respectively representing typical annual output rates of wind power and photovoltaic power;
2.3, respectively calculating the output curves of future wind power and photovoltaic power according to the following formulas:
in the above formula, the first and second carbon atoms are,the output of wind power and photovoltaic power in the t hour in the future is respectively 1,2, …,8760, respectively outputting the wind power and the photovoltaic power in the historical tth hour;
2.4, calculating an upper envelope line of a future wind power-photovoltaic combined sunrise curve according to the following formula
In the above formula, the first and second carbon atoms are,the envelope curves are the upper envelope curves of future wind power and photovoltaic sunrise curves respectively, tau is the hours of the sunrise curves, and tau is 1,2, … and 24, and tau is t \ 24, wherein tau is t and the remainder is taken for 24.
The first step is specifically as follows:
firstly, collecting typical load of system history 8760h, typical wind power output of 8760h and typical photovoltaic output data of 8760h by taking hours as units, and then calculating by adopting the following formula to obtain the typical annual load rate of the system historyTypical annual wind power output ratePhotovoltaic typical annual output rate
In the above formula, the first and second carbon atoms are,the load of the system at the historical time t,respectively the output of wind power and photovoltaic power in the historical tth hour, PmaxIs the historical maximum load of the system.
The principle of the invention is illustrated as follows:
renewable energy consumption strategy:
1. if the upper envelope line of the wind power-photovoltaic combined sunrise curve is lower than the load of the system on the historical minimum load day, the renewable energy consumption difficulty is low, and the renewable energy consumption can be promoted by improving the adjusting capability of other matched power supplies in the area.
2. If the upper envelope line of the wind power-photovoltaic combined sunrise curve is higher than the load of the system historical maximum load day and is lower than 1.5 times of the average load of the system historical day, the absorption difficulty of renewable energy is higher, the absorption cannot be realized only by the adjustment capability of other matched power supplies in the area, and the following measures can be adopted:
constructing a large pumped storage power station or an energy storage power station;
a reasonable electricity price policy is formulated, peak-valley electricity prices or time-of-use electricity prices are established on a power generation side and a power utilization side, demand side management is enhanced, on one hand, a conventional power plant is encouraged to actively vacate space for new energy at the valley time, on the other hand, the electricity utilization habits of users are also adjusted, the use of valley power is encouraged, and more adjusting resources are introduced, so that the consumption of renewable energy is promoted;
the construction of a trans-regional power grid is enhanced, the capacity of a power transmission channel is enlarged, the electric quantity of renewable energy sources in a region is transmitted to other load centers, and peak shifting of different regions are fully exerted.
3. If the upper envelope line of the wind power-photovoltaic combined sunrise curve is 1.5 times higher than the average daily load of the system history, the absorption difficulty of renewable energy is very high, new energy absorption cannot be realized by means of adjusting a power supply, adjusting across zones and the like, and the adopted measures are as follows:
the wind-light-water-storage integrated micro-grids are developed in the renewable energy resource enrichment area, each micro-grid has adjustable resources and loads such as wind-light and other new energy power sources, hydroelectric energy storage and the like, so that each unit has the advantages of small capacity and less energy storage resource allocation, renewable energy is directly transmitted to users without passing through a large power grid, and the problem that a large peak-valley difference is large and difficult to be absorbed due to the fact that a large amount of renewable energy is concentrated is solved;
the second industry with higher energy consumption is transferred to a renewable energy center, and the local consumption of renewable energy is promoted.
Alpha in the inventionw、αpFuture development planning values for renewable energy sources may be employed.
Example 1:
a method for consuming high-proportion renewable energy in a future power system takes system load data and wind-solar output data in 2020 Hubei province as research objects and sequentially comprises the following steps:
1. firstly, collecting typical load of a system 8760h, typical wind power output of 8760h and typical photovoltaic output data of 8760h in 2020 of Hubei province by taking hours as a unit, and then calculating by adopting the following formula to obtain the historical typical annual load rate of the systemTypical annual wind power output ratePhotovoltaic typical annual output rate
In the above formula, the first and second carbon atoms are,the load of the system at the historical time t,respectively the output of wind power and photovoltaic power in the historical tth hour, PmaxCalculating the historical typical annual load rate, the wind power typical annual output rate and the photovoltaic typical annual output rate of the power system for the historical maximum load of the system;
2. and respectively calculating the annual output rate of future wind power and photovoltaic power according to the following formula:
α=ap+αw
in the above formula, alpha is the proportion of the total future wind power and photovoltaic output in the annual electric quantity of the power system, and rhow、ρpRespectively the annual output rate, alpha, of wind power and photovoltaic power in the futurew、αpRespectively the proportion of wind power output and photovoltaic output in the power system year round in the future,is the typical annual load rate of the system history;
3. respectively calculating the output correction coefficients of wind power and photovoltaic power according to the following formula:
in the above formula, betaw、βpRespectively are the output correction coefficients of wind power and photovoltaic,respectively representing typical annual output rates of wind power and photovoltaic power;
4. respectively calculating the output curves of the future wind power and the future photovoltaic according to the following formula:
in the above formula, the first and second carbon atoms are,the output of wind power and photovoltaic power in the t hour in the future is respectively 1,2, …,8760, respectively outputting the wind power and the photovoltaic power in the historical tth hour;
5. calculating the upper envelope line, the lower envelope line and the average solar output of the future wind power-photovoltaic combined solar output curve according to the following formula:
in the above formula, the first and second carbon atoms are,respectively an upper envelope line, a lower envelope line and an average solar output of a future wind power-photovoltaic combined solar output curve,respectively an upper envelope line, a lower envelope line and an average solar output of a future wind power solar output curve,respectively an upper envelope line, a lower envelope line and an average solar output of a future photovoltaic solar output curve,τ is the hours of the sunrise curve, τ is 1,2, …,24, τ is t \ 24, τ is t and is the remainder of t to 24;
in this embodiment, the electric quantity of the renewable energy source is 30% (α ═ 0.3, α) in percentagep=0.15,αw=0.15)、50%(α=0.5,αp=0.25,αw0.25) the source load characteristic curves of the system are calculated, and the results are respectively shown in fig. 1 and fig. 2;
6. as can be seen from the data shown in fig. 1, when the electric quantity of the renewable energy is 30%, the upper envelope curve of the wind power-photovoltaic combined sunrise curve is lower than the load of the system historical minimum load day, and it is determined that the difficulty in consuming the renewable energy is low in this case, and at this time, the consumption of the renewable energy can be promoted by improving the adjusting capability of other matching power supplies in the area, which specifically includes:
the method comprises the following steps of carrying out flexible modification on a thermal power generating unit, encouraging deep peak shaving of the thermal power generating unit, and enabling renewable energy to obtain a power generation space;
the coal-fired unit is subjected to elastic operation control, a heat storage device is added to realize thermoelectric decoupling, heat is supplied through the heat storage device in a period of difficult peak regulation, forced heat supply output is reduced, and abundant heat is stored in a period of allowance for peak regulation;
the hydropower station is encouraged to participate in system peak shaving, for the reservoir capacity type hydropower station, the unit output is reduced by reducing water discharge in the peak output period of the system, and the unit output is improved by increasing water discharge in the valley output period of the system;
building a gas power station, and promoting the consumption of renewable energy sources by using a gas unit;
building small pumped storage power stations around renewable energy plants, pumping excess power for storage when the renewable energy is in a peak, and generating power by using potential energy of stored water when the renewable energy is in a valley;
as can be seen from the data shown in fig. 2, when the electric quantity of the renewable energy is 50%, the upper envelope curve of the wind power-photovoltaic combined sunrise power curve is higher than the load of the system historical maximum load day and lower than 1.5 times of the average load of the system historical day, and it is determined that the difficulty of consuming the renewable energy is high, and at this time, the following measures may be adopted:
constructing a large pumped storage power station or an energy storage power station;
establishing a reasonable electricity price policy, and establishing peak-valley electricity prices or time-of-use electricity prices at a power generation side and a power utilization side;
the construction of a trans-regional power grid is enhanced, the capacity of a power transmission channel is enlarged, the electric quantity of renewable energy sources in a region is transmitted to other load centers, and peak shifting of different regions are fully exerted.
Claims (5)
1. A method for consuming high-proportion renewable energy in a future power system is characterized by comprising the following steps:
the method comprises the following steps in sequence:
step one, calculating the historical typical annual load rate, the wind power typical annual output rate and the photovoltaic typical annual output rate of a power system;
step two, calculating wind power and photovoltaic output curves of a future power system according to the data obtained in the step one, and then determining an upper envelope line of the wind power-photovoltaic combined solar output curve;
and step three, judging the consumption difficulty level of the future high-proportion renewable energy sources by comparing the upper envelope curve of the wind power-photovoltaic combined sunrise curve with the historical daily load curve of the system, and then adopting a consumption strategy corresponding to the difficulty level to promote the consumption of the renewable energy sources.
2. A method for the consumption of a high percentage of renewable energy in a future power system according to claim 1, wherein:
the third step is specifically as follows:
if the upper envelope line of the wind power-photovoltaic combined sunrise curve is lower than the load of the system on the historical minimum load day, the difficulty in the consumption of the renewable energy is judged to be low, and the consumption of the renewable energy can be promoted by improving the adjusting capability of other matched power supplies in the area;
if the upper envelope curve of the wind power-photovoltaic combined sunrise curve is higher than the load of the system historical maximum load day and is lower than 1.5 times of the average load of the system historical day, the difficulty in the consumption of the renewable energy is judged to be high, and the following measures can be adopted:
constructing a large pumped storage power station or an energy storage power station;
establishing a reasonable electricity price policy, and establishing peak-valley electricity prices or time-of-use electricity prices at a power generation side and a power utilization side;
the construction of a trans-regional power grid is enhanced, the capacity of a power transmission channel is enlarged, the electric quantity of renewable energy sources in a region is transmitted to other load centers, and peak shifting of different regions are fully exerted;
if the upper envelope line of the wind power-photovoltaic combined sunrise curve is 1.5 times higher than the average daily load of the system history, the difficulty in the consumption of the renewable energy is very high, and the following measures can be adopted:
developing a wind-light-water-storage integrated micro-grid in a renewable energy resource enrichment area;
the second industry with higher energy consumption is transferred to a renewable energy center, and the local consumption of renewable energy is promoted.
3. A method for the consumption of a high percentage of renewable energy in a future power system according to claim 2, wherein:
the measures for promoting the consumption of the renewable energy sources by improving the regulation capacity of other matched power sources in the district comprise:
the method comprises the following steps of carrying out flexible modification on a thermal power generating unit, encouraging deep peak shaving of the thermal power generating unit, and enabling renewable energy to obtain a power generation space;
the coal-fired unit is subjected to elastic operation control, a heat storage device is added to realize thermoelectric decoupling, heat is supplied through the heat storage device in a period of difficult peak regulation, forced heat supply output is reduced, and abundant heat is stored in a period of allowance for peak regulation;
the hydropower station is encouraged to participate in system peak shaving, for the reservoir capacity type hydropower station, the unit output is reduced by reducing water discharge in the peak output period of the system, and the unit output is improved by increasing water discharge in the valley output period of the system;
building a gas power station, and promoting the consumption of renewable energy sources by using a gas unit;
and small pumped storage power stations are built around the renewable energy plant sites, redundant electric power is pumped for storage when the renewable energy output is in a peak, and the potential energy of the stored water is used for power generation when the renewable energy output is in a valley.
4. A method for the consumption of a high percentage of renewable energy in a future power system according to claim 1, wherein:
the second step comprises the following steps in sequence:
2.1, respectively calculating the annual output rate of future wind power and photovoltaic power according to the following formula:
in the above formula, ρw、ρpRespectively the annual output rate, alpha, of wind power and photovoltaic power in the futurew、αpRespectively the proportion of wind power output and photovoltaic output in the power system year round in the future,is the typical annual load rate of the system history;
2.2, respectively calculating the output correction coefficients of wind power and photovoltaic power according to the following formula:
in the above formula, betaw、βpRespectively are the output correction coefficients of wind power and photovoltaic,respectively representing typical annual output rates of wind power and photovoltaic power;
2.3, respectively calculating the output curves of future wind power and photovoltaic power according to the following formulas:
in the above formula, Pt w、Pt pThe output of wind power and photovoltaic power in the t hour in the future is respectively 1,2, …,8760, respectively outputting the wind power and the photovoltaic power in the historical tth hour;
2.4, calculating an upper envelope line of a future wind power-photovoltaic combined sunrise curve according to the following formula
In the above formula, the first and second carbon atoms are,the envelope curves are the upper envelope curves of future wind power and photovoltaic sunrise curves respectively, tau is the hours of the sunrise curves, and tau is 1,2, … and 24, and tau is t \24, wherein tau is t and the remainder is taken for 24.
5. A method for the consumption of a high percentage of renewable energy in a future power system according to claim 4, wherein:
the first step is specifically as follows:
firstly, collecting typical load of system history 8760h, typical wind power output of 8760h and typical photovoltaic output data of 8760h by taking hours as units, and then calculating by adopting the following formula to obtain the typical annual load rate of the system historyTypical annual wind power output ratePhotovoltaic typical annual output rate
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110871763.3A CN113541195B (en) | 2021-07-30 | 2021-07-30 | Method for consuming high-proportion renewable energy in future power system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110871763.3A CN113541195B (en) | 2021-07-30 | 2021-07-30 | Method for consuming high-proportion renewable energy in future power system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113541195A true CN113541195A (en) | 2021-10-22 |
CN113541195B CN113541195B (en) | 2022-08-02 |
Family
ID=78121613
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110871763.3A Active CN113541195B (en) | 2021-07-30 | 2021-07-30 | Method for consuming high-proportion renewable energy in future power system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113541195B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115130842A (en) * | 2022-06-17 | 2022-09-30 | 南方电网能源发展研究院有限责任公司 | Configuration method and device of wind, light and fire integrated base |
CN117134361A (en) * | 2023-10-27 | 2023-11-28 | 国网天津市电力公司宝坻供电分公司 | High-proportion green electric cross-region cross-voltage class digestion method, device, equipment and medium |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2012095478A (en) * | 2010-10-28 | 2012-05-17 | Kansai Electric Power Co Inc:The | Output estimation method and output estimation device for photovoltaic power generation |
CN102780219A (en) * | 2012-05-17 | 2012-11-14 | 清华大学 | Method for discriminating wind power digestion capability from multiple dimensions based on wind power operation simulation |
CN105281362A (en) * | 2015-09-28 | 2016-01-27 | 国家电网公司 | Assessment method for wind power consumption capability of electric power system |
US20160092622A1 (en) * | 2013-05-20 | 2016-03-31 | State Grid Corporation Of China | Method for modeling medium and long term wind power output model of medium and long term optimal operationof power system |
CN109787294A (en) * | 2019-02-25 | 2019-05-21 | 华中科技大学 | A kind of power system optimal dispatch method |
CN109861292A (en) * | 2019-03-28 | 2019-06-07 | 国网辽宁省电力有限公司经济技术研究院 | One kind improving clean energy resource based on multiple-energy-source energy-storage system and dissolves method |
CN110544958A (en) * | 2018-05-29 | 2019-12-06 | 电力规划总院有限公司 | method and device for determining capability of electric power system to absorb random output power |
CN112003282A (en) * | 2020-08-28 | 2020-11-27 | 国网山东省电力公司电力科学研究院 | Method for predicting installed scale of new energy based on peak regulation capacity of power grid |
CN112564183A (en) * | 2020-12-02 | 2021-03-26 | 中国电力工程顾问集团华北电力设计院有限公司 | Capacity optimization configuration method for wind, light and fire storage in power grid planning |
CN112736961A (en) * | 2020-12-03 | 2021-04-30 | 国网综合能源服务集团有限公司 | Wind and light absorption planning method based on flexible resources |
-
2021
- 2021-07-30 CN CN202110871763.3A patent/CN113541195B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2012095478A (en) * | 2010-10-28 | 2012-05-17 | Kansai Electric Power Co Inc:The | Output estimation method and output estimation device for photovoltaic power generation |
CN102780219A (en) * | 2012-05-17 | 2012-11-14 | 清华大学 | Method for discriminating wind power digestion capability from multiple dimensions based on wind power operation simulation |
US20160092622A1 (en) * | 2013-05-20 | 2016-03-31 | State Grid Corporation Of China | Method for modeling medium and long term wind power output model of medium and long term optimal operationof power system |
CN105281362A (en) * | 2015-09-28 | 2016-01-27 | 国家电网公司 | Assessment method for wind power consumption capability of electric power system |
CN110544958A (en) * | 2018-05-29 | 2019-12-06 | 电力规划总院有限公司 | method and device for determining capability of electric power system to absorb random output power |
CN109787294A (en) * | 2019-02-25 | 2019-05-21 | 华中科技大学 | A kind of power system optimal dispatch method |
CN109861292A (en) * | 2019-03-28 | 2019-06-07 | 国网辽宁省电力有限公司经济技术研究院 | One kind improving clean energy resource based on multiple-energy-source energy-storage system and dissolves method |
CN112003282A (en) * | 2020-08-28 | 2020-11-27 | 国网山东省电力公司电力科学研究院 | Method for predicting installed scale of new energy based on peak regulation capacity of power grid |
CN112564183A (en) * | 2020-12-02 | 2021-03-26 | 中国电力工程顾问集团华北电力设计院有限公司 | Capacity optimization configuration method for wind, light and fire storage in power grid planning |
CN112736961A (en) * | 2020-12-03 | 2021-04-30 | 国网综合能源服务集团有限公司 | Wind and light absorption planning method based on flexible resources |
Non-Patent Citations (4)
Title |
---|
娄素华等: "考虑投资风险的含风电系统电源投资扩展规划研究", 《中国电机工程学报》 * |
曹相阳等: "基于有效出力曲线的最大风光装机容量评估", 《广东电力》 * |
胡佳怡等: "考虑新能源出力特性的华东电网新能源消纳承载能力分析", 《水电能源科学》 * |
金一瑜: "余杭地区配电网分布式光伏消纳能力的研究", 《工程科技Ⅱ辑》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115130842A (en) * | 2022-06-17 | 2022-09-30 | 南方电网能源发展研究院有限责任公司 | Configuration method and device of wind, light and fire integrated base |
CN117134361A (en) * | 2023-10-27 | 2023-11-28 | 国网天津市电力公司宝坻供电分公司 | High-proportion green electric cross-region cross-voltage class digestion method, device, equipment and medium |
CN117134361B (en) * | 2023-10-27 | 2024-01-30 | 国网天津市电力公司宝坻供电分公司 | High-proportion green electric cross-region cross-voltage class digestion method, device, equipment and medium |
Also Published As
Publication number | Publication date |
---|---|
CN113541195B (en) | 2022-08-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yang et al. | Multi-time scale optimal scheduling of regional integrated energy systems considering integrated demand response | |
Zhong et al. | Towards a 100% renewable energy electricity generation system in Sweden | |
Denholm et al. | Evaluating the limits of solar photovoltaics (PV) in electric power systems utilizing energy storage and other enabling technologies | |
Madaeni et al. | How thermal energy storage enhances the economic viability of concentrating solar power | |
CN109256799B (en) | New energy power system optimal scheduling method based on sample entropy | |
CN113343478B (en) | Independent microgrid capacity optimal configuration method considering uncertainty and demand response | |
CN109586284B (en) | Random production simulation method of transmitting-end power system considering energy curtailment and application | |
CN113541195B (en) | Method for consuming high-proportion renewable energy in future power system | |
CN109687470B (en) | Wind power consumption scheduling method of cogeneration system based on electricity price-load linkage response | |
CN109347152B (en) | Random production simulation method considering participation of multi-type power supply in peak shaving and application | |
CN110661301B (en) | Capacity allocation optimization method for water-light-storage multi-energy complementary power generation system | |
CN110929428B (en) | Method and system for determining power generation capacity adequacy of power system | |
CN114492085B (en) | Regional power and electric quantity balancing method related to load and power supply joint probability distribution | |
CN110932261A (en) | Multi-energy system combined installation planning method based on global benefit maximization | |
CN112531786A (en) | Regional power grid power delivery method | |
CN116599148A (en) | Hydrogen-electricity hybrid energy storage two-stage collaborative planning method for new energy consumption | |
CN113746105B (en) | Optimized control method, device, equipment and storage medium for power demand response | |
CN114744638A (en) | Power system adjustable load capacity optimization method based on new energy consumption | |
CN118412929A (en) | Virtual power plant operation control method considering scheduling response capability | |
CN117013535A (en) | Water, wind, light and fire complementary capacity configuration method considering ecological scheduling requirements | |
CN116979512A (en) | Big data-based power system peak shaving method and system | |
CN112531785A (en) | Photo-thermal-heat-storage active power distribution network main and auxiliary combined scheduling method under multiple time scales | |
CN111898850A (en) | Method and system for calculating heat supply capacity of electric heating comprehensive energy system with flexible thermal power plant | |
CN116362400A (en) | Large-industry user electricity fee optimization method based on light storage system configuration | |
CN110942217B (en) | Method and system for constructing zero-carbon green energy system |
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 |