CN112736961B - Wind-solar energy absorption planning method based on flexible resources - Google Patents
Wind-solar energy absorption planning method based on flexible resources Download PDFInfo
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- CN112736961B CN112736961B CN202011404803.5A CN202011404803A CN112736961B CN 112736961 B CN112736961 B CN 112736961B CN 202011404803 A CN202011404803 A CN 202011404803A CN 112736961 B CN112736961 B CN 112736961B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- 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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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Abstract
The invention relates to a wind-solar energy absorption planning method based on flexible resources, which combines expert experience under the limitation of power supply development capability to preferentially develop flexible resources such as peak-shaving power supply, energy storage, interruptible load and the like, furthest increase the adjustable capability of a system, consider reasonable power-losing space and promote the capability of receiving new energy. In the balance method, a balance check period is selected based on the excavation of the regional load and the wind-light characteristics. And (3) judging wind and light output rates in a peak regulation balance period through historical data back measurement, and respectively calculating the wind rejection rate and the light rejection rate through integrating typical solar wind-light power. The method comprehensively considers the capacity adequacy of the system and the new energy consumption capability, constructs a wind-light comprehensive consumption planning method based on a balance method, considers a certain electricity discarding space and promotes the development of new energy.
Description
Technical Field
The invention relates to a wind-solar energy consumption planning method, in particular to a wind-solar energy consumption planning method based on flexible resources, which is simple and convenient to calculate and accurate and effective in evaluation result.
Background
The power supply structure in the area of 'three north' is mainly based on coal power, and the power supply with flexible adjustment capability is seriously lacking. With the gradual increase of wind power development scale, especially in winter, the heat supply period of coal generator set, the dead water period of hydroelectric generator set, the big generating period of wind turbine set overlap each other, lead to the peak shaving more difficult, and wind power consumption is severely restricted. The low proportion of renewable energy sources at the present stage, the problem of wind and light rejection in a local period is caused by insufficient flexibility, and if the flexibility is insufficient in a future high proportion renewable energy source power system scene, the consequences are more serious and even the system cannot normally run. The countries such as Europe and America pay attention to the construction of flexible adjusting power supplies such as matched pumped storage, fuel oil and gas and the like while developing wind power greatly. Adequate regulation capacity is a powerful guarantee for wind power development and consumption in these countries. For regions such as northeast of China, the new energy development requirement and the system peak regulation capability are contradictory, and the system regulation capability is improved by the application force.
A wind-solar energy consumption planning method considering flexible resources is provided. Under the limitation of the power supply development capability, the expert experience is combined, the flexible resources such as peak regulation power supply, energy storage, interruptible load and the like are preferentially developed, the adjustable capability of the system is furthest increased, the reasonable power discarding space is considered, and the new energy receiving capability is improved. In the balance method, a balance check period is selected based on mining of regional loads and wind-light characteristics. And (3) judging wind and light output rates in a peak regulation balance period through historical data back measurement, and respectively calculating the wind rejection rate and the light rejection rate through integrating typical solar wind-light power.
According to the method, the system capacity adequacy and the new energy consumption capability are comprehensively considered, a wind-light consumption planning method based on a balance method is constructed, a certain electricity discarding space is considered, and the new energy development is promoted.
Disclosure of Invention
Aiming at the problems, the invention mainly aims to provide the wind-solar energy absorption planning method based on the flexible resources, which is simple and convenient to calculate and accurate and effective in evaluation result.
The invention solves the technical problems by the following technical proposal: the wind-solar energy consumption planning method based on the flexible resources comprises the following steps:
step (1): analyzing regional load and new energy output characteristics;
step (2): performing model back measurement, and calculating wind power and photovoltaic equivalent output rate;
step (3): setting a power supply planning initial value;
step (4): the power balance in the peak period judges the scale of the conventional power supply and the peak regulating power supply;
step (5): checking the annual thermal power utilization hours by electric quantity balance;
step (6): calculating wind and light electricity discarding rate by peak regulation balance;
step (7): judging whether the wind power and photovoltaic power rejection rate can meet constraint, and if not, adjusting the wind power and photovoltaic installation scale;
step (8): and (5) carrying out loop iteration to obtain a power supply planning scheme.
In a specific embodiment of the present invention, the step (1) specifically includes: analyzing regional load and new energy output characteristics based on historical data, judging load peaks and peak shaving difficulty time periods, and selecting power balance and peak shaving balance analysis typical days; the typical daily maximum load, load and photovoltaic per-unit sequence boundary conditions of the planning year are predicted.
In a specific embodiment of the present invention, the step (2) specifically includes: and (3) carrying out peak regulation balance model back measurement on the selected typical day, and taking the wind power and photovoltaic equivalent output coefficients which are back measured through parameters such as historical annual installation and power rejection rate as the output coefficients of wind power and photovoltaic of the peak regulation balance model of the typical day of the planning year.
In a specific embodiment of the present invention, the step (3) specifically includes: the nuclear power, radial flow type hydroelectric power plant and thermal power plant are considered according to conventional power supply, and the adjustable hydroelectric power plant, pumped storage power plant, gas power plant, energy storage equipment, interruptible load and the like are considered according to flexible resources; the method combines boundaries of various power reserves, development conditions, policy constraints and the like, takes priority arrangement of flexible resources as a principle, and sets initial values of various power installation machines in the planning level year.
In a specific embodiment of the present invention, the step (4) specifically includes: comprehensively considering factors such as output blockage and the like of the thermal power unit, and judging an output coefficient; the hydroelectric generating set considers the factors such as reservoir capacity, incoming water condition and the like, and determines a force coefficient; the wind power is according to the guaranteed capacity (the wind power output in the load peak time is ordered from big to small, and under a certain guarantee rate, whether the power supply capacity can meet the peak load requirement is checked.
In a specific embodiment of the present invention, the step (5) specifically includes: and according to the electric quantity balance condition, checking the utilization hours of the coal power, if the utilization hours exceed the reasonable utilization hours, reducing the peak shaving power supply scale, increasing the coal power scale, and iteratively checking the electric quantity balance of the electric power.
In a specific embodiment of the present invention, the step (6) specifically includes: calculating peak shaving shortage at each moment according to a peak shaving balance method by using wind power and photovoltaic equivalent output coefficients which are returned by the model, calculating wind power and photovoltaic power discarding power according to wind power and photovoltaic output proportion, integrating to obtain typical solar wind power and photovoltaic power discarding quantity, and respectively calculating typical solar wind power and photovoltaic power discarding rate according to wind and photovoltaic power generating capacity.
The invention has the positive progress effects that: the wind-light absorption planning method based on the flexible resources has the following advantages: (1) Based on load and wind-light output characteristic analysis, typical day and analysis period are selected, system operation characteristics are fully considered, and typical day verification wind-light admittance capacity is selected through measuring peak regulation demand coefficients.
(2) And (3) carrying out historical data back measurement by using a peak regulation balance model, calculating typical solar wind and light output coefficients, and enhancing the scientificity of a calculation result through coupling with a historical system.
(3) The method for measuring and calculating the wind rejection rate and the light rejection rate by using typical daily peak regulation balance is provided, reasonable electricity rejection is considered, and new energy is scientifically developed.
(4) And by combining with expert experience, the wind development scale and the light development scale can be quickly and effectively solved, and power planning suggestions can be provided to guide the orderly development of regional power science.
Drawings
Fig. 1 is a schematic diagram of the overall structure of the present invention.
Detailed Description
The following description of the preferred embodiments of the present invention is given with reference to the accompanying drawings, so as to explain the technical scheme of the present invention in detail.
Fig. 1 is a schematic diagram of the overall structure of the present invention. As shown in the above figures: the invention provides a wind-light absorption planning method based on flexible resources, which comprises the following steps:
step (1): analyzing regional load and new energy output characteristics; the step (1) specifically comprises: analyzing regional load and new energy output characteristics based on historical data, judging load peaks and peak shaving difficulty time periods, and selecting power balance and peak shaving balance analysis typical days; and predicting boundary conditions such as typical daily maximum load, photovoltaic sequence and the like of the planning year.
Step (2): performing model back measurement, and calculating wind power and photovoltaic equivalent output rate; the step (2) specifically comprises: and (3) carrying out peak regulation balance model back measurement on the selected typical day, and taking the wind power and photovoltaic equivalent output coefficients which are back measured through parameters such as historical annual installation and power rejection rate as the output coefficients of wind power and photovoltaic of the peak regulation balance model of the typical day of the planning year.
Step (3): setting a power supply planning initial value; the step (3) specifically comprises: the nuclear power, radial flow type hydroelectric power plant and thermal power plant are considered according to conventional power supply, and the adjustable hydroelectric power plant, pumped storage power plant, gas power plant, energy storage equipment, interruptible load and the like are considered according to flexible resources; the method combines boundaries of various power reserves, development conditions, policy constraints and the like, takes priority arrangement of flexible resources as a principle, and sets initial values of various power installation machines in the planning level year.
Step (4): the power balance in the peak period judges the scale of the conventional power supply and the peak regulating power supply; the step (4) specifically comprises: comprehensively considering factors such as output blockage and the like of the thermal power unit, and judging an output coefficient; the hydroelectric generating set considers the factors such as reservoir capacity, incoming water condition and the like, and determines a force coefficient; and (3) checking whether the power supply capacity can meet the peak load demand according to the guaranteed capacity of the wind power (the wind power output in the load peak time is ordered from big to small, and under a certain guaranteed rate (the minimum output of the wind power is 95%) consideration.
Step (5): checking the annual thermal power utilization hours by electric quantity balance; the step (5) specifically comprises: and according to the electric quantity balance condition, checking the utilization hours of the coal power, if the utilization hours exceed the reasonable utilization hours, reducing the peak shaving power supply scale, increasing the coal power scale, and iteratively checking the electric quantity balance of the electric power.
Step (6): calculating wind and light electricity discarding rate by peak regulation balance; the step (6) specifically comprises: calculating peak shaving shortage at each moment according to a peak shaving balance method by using wind power and photovoltaic equivalent output coefficients which are returned by the model, calculating wind power and photovoltaic power discarding power according to wind power and photovoltaic output proportion, integrating to obtain typical solar wind power and photovoltaic power discarding quantity, and respectively calculating typical solar wind power and photovoltaic power discarding rate according to wind and photovoltaic power generating capacity.
Step (7): judging whether the wind power and photovoltaic power rejection rate can meet constraint, and if not, adjusting the wind power and photovoltaic installation scale;
step (8): and (5) carrying out loop iteration to obtain a power supply planning scheme.
The following is a specific embodiment of the present invention:
step s1: based on historical data, analyzing regional load and new energy output characteristics, judging load peaks and peak shaving difficulty time periods, and selecting power balance and peak shaving balance analysis typical days. And predicting boundary conditions such as typical daily maximum load, photovoltaic sequence and the like of the planning year.
Step s2: and (3) carrying out peak regulation balance model back measurement on the selected typical day, and taking the wind power and photovoltaic equivalent output coefficients which are back measured through parameters such as historical annual installation and power rejection rate as the output coefficients of wind power and photovoltaic of the peak regulation balance model of the typical day of the planning year.
Step s3: the nuclear power, radial flow type hydroelectric power plant and thermal power plant are considered according to conventional power sources, and the adjustable hydroelectric power plant, the pumped storage power plant, the gas power plant, the energy storage equipment, the interruptible load and the like are considered according to flexible resources. According to expert experience, boundaries such as various power reserves, development conditions, policy constraints and the like are combined, and the initial values of various power installation machines in the horizontal year are set by taking priority arrangement of flexible resources as a principle.
Step s4: comprehensively considering factors such as output blockage and the like of the thermal power unit, and judging an output coefficient; the hydroelectric generating set considers the factors such as reservoir capacity, incoming water condition and the like, and determines a force coefficient; and (3) checking whether the power supply capacity can meet the peak load demand according to the guaranteed capacity of the wind power (the wind power output in the load peak time is ordered from big to small, and under a certain guaranteed rate (the minimum output of the wind power is 95%) consideration.
Step s5: and according to the electric quantity balance condition, checking the utilization hours of the coal power, if the utilization hours exceed the reasonable utilization hours, reducing the peak shaving power supply scale, increasing the coal power scale, and iteratively checking the electric quantity balance of the electric power. The electric quantity balance model is as follows:
wherein: e (E) d Generating power for the system; e (E) s Generating power for a coal-fired power plant in the system; e (E) f Is the power generation capacity of a non-coal-fired power plant in the system.
The number of coal electricity utilization hours needs to satisfy:
wherein: t (T) s The number of hours for coal power utilization; t (T) c An upper limit of the number of hours for coal power utilization; c (C) s The capacity of the coal motor assembly machine is provided.
Step s6: calculating peak shaving shortage at each moment according to a peak shaving balance method by using wind power and photovoltaic equivalent output coefficients which are returned by the model, calculating wind power and photovoltaic power discarding power according to wind power and photovoltaic output proportion, integrating to obtain typical solar wind power and photovoltaic power discarding quantity, and respectively calculating typical solar wind power and photovoltaic power discarding rate according to wind and photovoltaic power generating capacity. The peak shaving balance model is as follows:
calculating peak regulation surplus delta P in t period by using difference between peak-valley difference and regulation capacity of system rT I.e.
Wherein: p (P) fgt For the peak-valley difference within t period, P' maxt For a typical day t period maximum load, P rt Peak regulation capacity of units and connecting lines in the system, eta is rotation reserve rate, C w Alpha is the available capacity of the wind turbine wt C is the wind power output coefficient in t time period pot Alpha is the available capacity of the wind turbine pot And the photovoltaic output coefficient in the t period.
If the peak shaving surplus is larger than 0, the system can fully utilize the new energy in the period. If the peak shaving surplus is smaller than 0, generating waste electricity, wherein the waste electricity power is
At the moment of generating electricity by wind and light at the same time, if the system has insufficient regulation capability, the wind and light can generate waste electricity, and the waste electricity is distributed according to the ratio of the available electricity to the electricity. The wind abandoning rate is
Light rejection rate:
the wind-discarding rate and the light-discarding rate should meet the requirement of the planned horizontal annual index.
Step s7: and judging whether the wind power and photovoltaic power rejection rate can meet the constraint, and if not, adjusting the scales of wind power and photovoltaic installation.
Step s8: and (5) carrying out loop iteration to obtain a power supply planning scheme.
The method selects typical day and analysis period based on load and wind-light output characteristic analysis, fully considers the system operation characteristic, and selects typical day verification wind-light admittance capacity through measuring peak regulation demand coefficient.
The invention utilizes the peak regulation balance model to carry out historical data back measurement, calculates typical solar wind and light output coefficients, and enhances the scientificity of calculation results through coupling with a historical system.
The invention provides a method for measuring and calculating the wind rejection rate and the light rejection rate by using typical daily peak regulation balance, and considers reasonable electricity rejection and scientific development of new energy.
The invention combines the experience of expert, can quickly and effectively solve the wind and light development scale and put forward power planning suggestion to guide the orderly development of regional power science.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the foregoing embodiments, which have been described in the foregoing embodiments and description merely illustrates the principles of the invention, and that various changes and modifications may be effected therein without departing from the spirit and scope of the invention as defined in the appended claims and their equivalents.
Claims (5)
1. A wind-solar energy consumption planning method based on flexible resources is characterized by comprising the following steps: the wind-solar energy consumption planning method based on the flexible resources comprises the following steps:
step (1): analyzing regional load and new energy output characteristics;
step (2): performing model back measurement, and calculating wind power and photovoltaic equivalent output rate;
step (3): setting a power supply planning initial value;
step (4): the power balance in the peak period judges the scale of the conventional power supply and the peak regulating power supply;
step (5): checking the annual thermal power utilization hours by electric quantity balance;
step (6): calculating wind and light electricity discarding rate by peak regulation balance;
step (7): judging whether the wind power and photovoltaic power rejection rate can meet constraint, and if not, adjusting the wind power and photovoltaic installation scale;
step (8): performing loop iteration to obtain a power supply planning scheme;
the step (5) specifically comprises: according to the electric quantity balance condition, checking the utilization hours of the coal power, if the utilization hours exceed the reasonable utilization hours, reducing the peak shaving power supply scale, increasing the coal power scale, and iteratively checking the electric quantity balance of the electric power; the electric quantity balance model is as follows:
wherein: e (E) d Generating power for the system; e (E) s Generating power for a coal-fired power plant in the system; e (E) f The method comprises the steps of (1) generating energy for a non-coal-fired power plant in a system;
the number of coal electricity utilization hours needs to satisfy:
wherein: t (T) s The number of hours for coal power utilization; t (T) c An upper limit of the number of hours for coal power utilization; c (C) s The capacity of the coal motor assembly machine;
the step (6) specifically comprises: calculating peak shaving shortage at each moment according to a peak shaving balance method by using wind power and photovoltaic equivalent output coefficients which are returned by the model, calculating wind power and photovoltaic power discarding power according to wind power and photovoltaic output proportion, integrating to obtain typical solar wind power and photovoltaic power discarding quantity, and respectively calculating typical solar wind power and photovoltaic power discarding rate according to wind and photovoltaic power generating capacity.
2. The flexible resource-based wind-solar energy consumption planning method according to claim 1, wherein: the step (1) specifically comprises the following steps: analyzing regional load and new energy output characteristics based on historical data, judging load peaks and peak shaving difficulty time periods, and selecting power balance and peak shaving balance analysis typical days; the typical daily maximum load, load and photovoltaic per-unit sequence boundary conditions of the planning year are predicted.
3. The flexible resource-based wind-solar energy consumption planning method according to claim 1, wherein: the step (2) specifically comprises: and (3) carrying out peak regulation balance model back measurement on the selected typical day, and taking the wind power and photovoltaic equivalent output coefficients obtained through back measurement of historical annual installation and power rejection rate parameters as the wind power and photovoltaic output rate of the peak regulation balance model of the typical day of the planning year.
4. The flexible resource-based wind-solar energy consumption planning method according to claim 1, wherein: the step (3) specifically comprises: the nuclear power, radial flow type hydroelectric power plant and thermal power plant are considered according to conventional power supply, and the adjustable hydroelectric power plant, pumped storage power plant, gas power plant, energy storage equipment and interruptible load are considered according to flexible resource; and setting the initial values of various power installation machines in the planning level year by taking priority arrangement of flexible resources as a principle in combination with various power reserves, development conditions and policy constraint boundaries.
5. The flexible resource-based wind-solar energy consumption planning method according to claim 1, wherein: the step (4) specifically comprises: comprehensively considering the output blocking factors of the thermal power generating unit, and judging the output rate; the hydroelectric generating set considers the storage capacity and the water supply condition factors and judges the force coefficient; and (3) sequencing the wind power output in the load peak time from large to small according to the guaranteed capacity of the wind power, and checking whether the power supply capacity can meet the peak load requirement or not under the consideration of a certain guaranteed rate.
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| CN113285483B (en) * | 2021-06-25 | 2022-05-13 | 中国电建集团贵阳勘测设计研究院有限公司 | Photovoltaic consumption rate calculation method based on water-light intra-day complementation of clean energy base |
| CN113541195B (en) * | 2021-07-30 | 2022-08-02 | 国家电网公司华中分部 | Method for consuming high-proportion renewable energy in future power system |
| CN113890107B (en) * | 2021-08-20 | 2023-09-01 | 中国电力科学研究院有限公司 | Method and system for determining adjustment capacity by considering peak load new energy contribution rate |
| CN113675891B (en) * | 2021-09-09 | 2022-01-04 | 中国能源建设集团湖南省电力设计院有限公司 | Method for improving power transmission capacity and efficiency of power grid |
| CN113902214A (en) * | 2021-10-28 | 2022-01-07 | 中国能源建设集团江苏省电力设计院有限公司 | Power supply planning optimization method and system considering demand side management |
| CN113962598B (en) * | 2021-11-11 | 2024-05-07 | 国网天津市电力公司 | New energy daily operation peak regulation demand measuring and calculating method and device |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103248048A (en) * | 2013-05-22 | 2013-08-14 | 国家电网公司 | Abandoned wind electric quantity estimation method |
| CN106099993A (en) * | 2016-06-28 | 2016-11-09 | 中国电力工程顾问集团西南电力设计院有限公司 | A kind of adapt to the power source planning method that new forms of energy access on a large scale |
| CN107122599A (en) * | 2017-04-14 | 2017-09-01 | 南瑞（武汉）电气设备与工程能效测评中心 | A kind of thermal storage electric boiler is dissolved in real time abandons the appraisal procedure that wind abandons optical quantum ability |
| CN107769271A (en) * | 2017-10-30 | 2018-03-06 | 国网能源研究院有限公司 | A kind of new energy integrates digestion capability appraisal procedure |
| CN108336764A (en) * | 2018-01-16 | 2018-07-27 | 华北电力大学 | A kind of extensive wind-light-electricity extra-high voltage alternating current-direct current sending peak regulation control method |
| CN109034607A (en) * | 2018-07-24 | 2018-12-18 | 南方电网科学研究院有限责任公司 | Wind and light abandoning electric quantity evaluation method, system and device and readable storage medium |
| CN109038556A (en) * | 2018-08-01 | 2018-12-18 | 中国电力科学研究院有限公司 | A kind of fired power generating unit flexibility transformation capacity calculation methods and system |
| CN109428343A (en) * | 2017-08-22 | 2019-03-05 | 中国电力科学研究院 | A kind of Method for optimized planning and device of new energy base Transmission Corridor transmission line capability |
| CN110676885A (en) * | 2019-09-06 | 2020-01-10 | 国家电网公司西北分部 | Peak regulation method taking new energy as core |
| CN110768302A (en) * | 2019-08-13 | 2020-02-07 | 华北电力大学 | Evaluation and regulation method for renewable energy consumption capability of regional power grid |
| CN110826778A (en) * | 2019-10-23 | 2020-02-21 | 上海电机学院 | Load characteristic optimization calculation method actively adapting to new energy development |
| CN111030189A (en) * | 2019-12-06 | 2020-04-17 | 国网辽宁省电力有限公司经济技术研究院 | Wind power and photovoltaic consumption prediction and early warning method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103296679B (en) * | 2013-05-20 | 2016-08-17 | 国家电网公司 | The medium-term and long-term long-term wind power run that optimizes of power system is exerted oneself model modelling approach |
| US11009012B2 (en) * | 2014-12-31 | 2021-05-18 | Shenzhen Enesoon Science & Technology Co., Ltd | Combined energy supply system of wind, photovoltaic, solar thermal power and medium-based heat storage |
-
2020
- 2020-12-03 CN CN202011404803.5A patent/CN112736961B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103248048A (en) * | 2013-05-22 | 2013-08-14 | 国家电网公司 | Abandoned wind electric quantity estimation method |
| CN106099993A (en) * | 2016-06-28 | 2016-11-09 | 中国电力工程顾问集团西南电力设计院有限公司 | A kind of adapt to the power source planning method that new forms of energy access on a large scale |
| CN107122599A (en) * | 2017-04-14 | 2017-09-01 | 南瑞（武汉）电气设备与工程能效测评中心 | A kind of thermal storage electric boiler is dissolved in real time abandons the appraisal procedure that wind abandons optical quantum ability |
| CN109428343A (en) * | 2017-08-22 | 2019-03-05 | 中国电力科学研究院 | A kind of Method for optimized planning and device of new energy base Transmission Corridor transmission line capability |
| CN107769271A (en) * | 2017-10-30 | 2018-03-06 | 国网能源研究院有限公司 | A kind of new energy integrates digestion capability appraisal procedure |
| CN108336764A (en) * | 2018-01-16 | 2018-07-27 | 华北电力大学 | A kind of extensive wind-light-electricity extra-high voltage alternating current-direct current sending peak regulation control method |
| CN109034607A (en) * | 2018-07-24 | 2018-12-18 | 南方电网科学研究院有限责任公司 | Wind and light abandoning electric quantity evaluation method, system and device and readable storage medium |
| CN109038556A (en) * | 2018-08-01 | 2018-12-18 | 中国电力科学研究院有限公司 | A kind of fired power generating unit flexibility transformation capacity calculation methods and system |
| CN110768302A (en) * | 2019-08-13 | 2020-02-07 | 华北电力大学 | Evaluation and regulation method for renewable energy consumption capability of regional power grid |
| CN110676885A (en) * | 2019-09-06 | 2020-01-10 | 国家电网公司西北分部 | Peak regulation method taking new energy as core |
| CN110826778A (en) * | 2019-10-23 | 2020-02-21 | 上海电机学院 | Load characteristic optimization calculation method actively adapting to new energy development |
| CN111030189A (en) * | 2019-12-06 | 2020-04-17 | 国网辽宁省电力有限公司经济技术研究院 | Wind power and photovoltaic consumption prediction and early warning method |
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