CN112949892A - Regional power grid new energy power generation consumption optimization method, system, equipment and medium - Google Patents

Regional power grid new energy power generation consumption optimization method, system, equipment and medium Download PDF

Info

Publication number
CN112949892A
CN112949892A CN202011249962.2A CN202011249962A CN112949892A CN 112949892 A CN112949892 A CN 112949892A CN 202011249962 A CN202011249962 A CN 202011249962A CN 112949892 A CN112949892 A CN 112949892A
Authority
CN
China
Prior art keywords
power
provincial
new energy
control
power station
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
Application number
CN202011249962.2A
Other languages
Chinese (zh)
Other versions
CN112949892B (en
Inventor
王昊昊
李吉晨
刘韶峰
李铁
陈堂龙
汪马翔
姜枫
唐俊刺
郁琛
黄燕
崔岱
姜狄
李欣蔚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Nari Technology Co Ltd
State Grid Electric Power Research Institute
Original Assignee
State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Nari Technology Co Ltd
State Grid Electric Power Research Institute
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Liaoning Electric Power Co Ltd, Nari Technology Co Ltd, State Grid Electric Power Research Institute filed Critical State Grid Corp of China SGCC
Priority to CN202011249962.2A priority Critical patent/CN112949892B/en
Publication of CN112949892A publication Critical patent/CN112949892A/en
Application granted granted Critical
Publication of CN112949892B publication Critical patent/CN112949892B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004Generation forecast, e.g. methods or systems for forecasting future energy generation
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Power Engineering (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a regional power grid new energy power generation consumption optimization method, a system, equipment and a medium, wherein the method comprises the following steps: 1. the method comprises the steps of automatically judging the limited states of all new energy power stations in an area in real time, and the limited range, reason and level of new energy power generation; 2. grading each type of control object according to economic and environmental protection factors; 3. aiming at the problem that new energy resources at different levels are limited, optimizing and solving are carried out by adopting various types of control objects step by step. The method realizes the large-scale optimization of the source network load storage multi-type consumption measures, provides real-time scheduling auxiliary decision for scheduling operation personnel of the regional scheduling center, reduces the working pressure of the scheduling personnel, and improves the decision efficiency and precision.

Description

Regional power grid new energy power generation consumption optimization method, system, equipment and medium
Technical Field
The invention relates to a method, a system, equipment and a medium for optimizing new energy power generation consumption of a regional power grid, and belongs to the technical field of power grid dispatching operation control.
Background
With the rapid development of the scale of the wind power, photovoltaic and other new energy power generation installed machines in China, the wind and light abandonment is always a main problem which puzzles the development of new energy. Although the phenomena of wind abandoning and light abandoning are relieved to a certain extent in recent years with the construction of an extra-high voltage outgoing channel, the deep peak regulation and transformation of thermal power and the promotion of an electric power market, the wind abandoning and the light abandoning are still major problems faced by the dispatching and operation of a power grid with the continuous increase of the installed scale. Therefore, the function of the regional power grid dispatching center in large-scale new energy consumption needs to be continuously enhanced, the coordination consumption capability between the power-saving power grids and the provincial power grids of the power grid is improved, and the multi-type consumption measures of the source-grid-load-storage side are adjusted by comprehensively utilizing dispatching operation rules and market trading means, so that the large-scale and multi-level collaborative consumption of new energy is promoted.
Therefore, it is necessary to research an optimization decision method for large-range, multi-type and multi-level source-grid-load-storage cooperative consumption of regional power grid unified decision, provide real-time scheduling auxiliary decision for regional power grid scheduling operators, change the current situation that manual decision is mainly performed depending on the operation experience of the scheduling operators at present, reduce the working pressure of the scheduling operators, and improve the decision efficiency and precision.
Disclosure of Invention
The invention aims to overcome the technical defects in the prior art, provides a method, a system, equipment and a medium for optimizing the consumption of the new energy power generation of a regional power grid, and solves the problem that a regional power grid dispatching center lacks a technical means for supporting the unified real-time consumption decision of the new energy power generation of the whole region.
The invention specifically adopts the following technical scheme: the optimization method for the new energy power generation consumption of the regional power grid comprises the following steps:
step SS 1: collecting operation information of a regional power grid and a provincial power grid;
step SS 2: judging the limited states of all new energy power stations in the regional power grid, if the power generation of the new energy power stations is limited, entering a step SS3, and if the power generation of the new energy power stations is not limited, ending the execution of the method;
step SS 3: analyzing the limited range, reasons and levels of the new energy power station in the region, if only the local section in a province is limited, entering a step SS4, if only 1 province-level power grid peak shaving limitation exists, entering a step SS5, if the number of the province-level power grids with the peak shaving limitation exceeds 1, entering a step SS6, wherein the regional level peak shaving limitation is achieved;
step SS 4: grading the control objects participating in the provincial power grid local section new energy maximum consumption according to economic and environment-friendly factors, correcting the provincial local section new energy maximum consumption model by adopting the economic and environment-friendly factors of the control objects and the adjustment space step by step and solving the model, finishing executing the method if the power generation limitation of the new energy is eliminated, and otherwise, entering a step SS 6;
step SS 5: grading the control objects participating in the provincial power grid new energy maximum consumption according to economic and environmental protection factors, correcting a provincial power grid new energy maximum consumption model by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step and solving the model, if the power generation limitation of the new energy is eliminated, ending the execution of the method, otherwise, entering a step SS 6;
step SS 6: and grading the control objects participating in the maximum consumption of the new energy of the regional power grid according to the economic and environmental protection factors, correcting the maximum consumption model of the new energy of the regional power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step, and solving the model.
As a preferred embodiment, step SS1 includes: a provincial power grid dispatching center is called a provincial dispatching, and a regional power grid dispatching center for uniformly dispatching a plurality of provincial power grids is called a network dispatching; let t0Is the current time, tcAdjusting the target generation time for a new power station, an energy storage power station, a control instruction of a controllable load and an AC/DC connecting line, and collecting the following information in a real-time active scheduling control system of a network scheduling:
2-1) Collection of t0Real-time operation information, real-time scheduling plan and power station output prediction information of the power grid of the time network dispatching and provincial dispatching management, including various power station outputs, monitoring section/element power flow, of the network dispatching and provincial dispatching management,The method comprises the following steps of (1) sensitivity of power station output to monitoring sections/elements, dynamic quota of the monitoring sections/elements, alternating current/direct current tie line tide, a real-time scheduling plan and ultra-short term output prediction information of a new energy power station;
2-2) Collection of t0Real-time running information of water/thermal power stations, energy storage and controllable loads of a time network dispatching and provincial dispatching management and declaration and bargain transaction information participating in spot markets and peak regulation auxiliary service markets;
2-3) Collection of t0Mutually complementing accumulated electric quantity information between the provinces at the moment;
2-4) Collection of t0The adjustable range of the AC/DC connecting line of the cross-regional power grid and the cross-provincial power grid at any moment and the corresponding economic cost.
As a preferred embodiment, in step SS2, the limited status of all new energy power stations in the regional power grid is determined according to the following steps:
3-1) if the ultra-short-term prediction precision of the new energy power station i is greater than a first set threshold value epsilon1Comparing the ultra-short-term predicted values P of the new energy power stationsr,t0,iAnd the current instruction value Pa,t0,iIf P isa,t0,i-Pr,t0,iIf the power generation is less than or equal to epsilon, the new energy power station i is in a power generation limited state, epsilon2Is a second set threshold value;
3-2) if the ultra-short-term prediction precision of the new energy power station i is less than epsilon1Then comparing the new energy power stations t0Moment force P0,t0,iAnd t0Time of day instruction value Pa,t0,iIf P isa,t0,i-P0,t0,i≤ε3If the new energy power station i is in the power generation limited state, epsilon3Is a third set threshold value, ε32
As a preferred embodiment, the step SS3 analyzes the limited range, reason and level of new energy power generation in the area by the following steps:
4-1) if the ultra-short-term predicted value is adopted to judge the limited state of the new energy power station, calculating the safety margin of each monitoring section and an inter-provincial connection section in the S-th provincial power grid by adopting the formula (1), and if the current output is adopted to judge whether the limited state exists, acquiring the real-time safety margin of each monitoring section/element from the EMS;
4-2) if there is a monitoring section/element with a real-time safety margin smaller than a fourth set threshold epsilon4If the new energy power station related to the monitoring section/element is limited, judging that the safety constraint of the new energy power station related to the monitoring section/element is limited due to the breakage of the monitoring section/element, namely the section is limited;
4-3) if the provincial dispatching center regulates the new energy power station and is limited, the water/fire units participating in peak regulation all reach the lower limit of basic peak regulation output, and the connecting lines of the provincial power grid and other provincial power grids reach the upper limit of a plan value, judging that the new energy power station of the provincial power grid is limited due to insufficient basic peak regulation capacity, namely peak regulation is limited;
4-4) summarizing all information of the intra-provincial monitoring sections/elements with the new energy power station limitation, wherein if only the intra-provincial monitoring sections/elements cause the related new energy power generation limitation due to safety constraint, the current limited level is that intra-provincial local sections are limited; if only 1 provincial power grid peak shaving limitation exists, the current limited level is the provincial power grid peak shaving limitation; if the number of the provincial power grids with limited peak regulation is more than 1, limiting the peak regulation of the regional level;
Figure BDA0002771279940000041
in the formula (1), S represents the S-th provincial power grid G in the regional power gridS,AS、Ae.S、Al.SIs GSCollections of power stations, energy storage plants, controllable loads, participating in real-time dispatch control, BS、 Lb.SIs GSWater/thermal power station, load set without participating in real-time scheduling control, TLSIs GSWith other provincial power grid connections within the area, SCl.sIs GSA set of all monitoring sections; psc.j.0Is t0Time SCl.sActive, S, of the j-th monitoring section or elementa.j.i、Sae.j.i、Sb.j.i、Stl.j.i、Sl.j.i、Sal.j.iThe sensitivity of the active change of the ith participating real-time regulation and control new energy/water/thermal power station, the energy storage power station participating in regulation and control, the non-participating regulation and control water/thermal power station, the inter-provincial connecting line monitoring section/element, the non-regulation and control load and the controllable load to the active power flow of the jth monitoring section or element is respectively determined; pa.t0.i、Pae.t0.i、Pb.t0.i、Ptl.t0.i、Pl.t0.i、Pal.t0.iAre respectively t0The ith real-time regulation and control of the active power of a new energy/water/thermal power station, an energy storage power station participating in regulation and control, a water/thermal power station not participating in regulation and control, an inter-provincial connecting line monitoring section/element, a non-controllable load and a controllable load; pa.tc.i、Pae.tc.i、Ptl.tc.i、Pal.tc.iAre respectively tcThe ith real-time regulation and control of active instructions of a new energy/water/thermal power station, an energy storage power station, an inter-provincial connecting line monitoring section/element and participation of load regulation and control; pb.tc.i、Pl.tc.iAre respectively tcThe ith does not participate in regulating and controlling the scheduling plan value of the water/thermal power station and does not participate in regulating and controlling the active prediction value of the load; etaj、Psc.lmt.jIs SCl.sThe safety margin and the section quota of the jth monitoring section or element in (1).
As a preferred embodiment, the optimization method includes: the control object of each grade of dispatch center transfer pipe contains wind-powered electricity generation/photovoltaic power station, water/thermal power station, the energy storage power station, controllable load and AC/DC tie line, every control object contains a plurality of active adjustment interval, and every active adjustment interval corresponds an economic environmental protection factor, divide the shelves with all control objects according to economic environmental protection factor, same control object has n economic environmental protection factors, n economic environmental protection factors all participate in the shelves and must divide into different shelves, every wind-powered electricity generation/photovoltaic power station is established to only 1 economic environmental protection factor and 1 shelves active adjustment interval, wherein n >1, the step of shelves is as follows:
5-1) selecting the maximum value of the economic and environmental protection factors in the current control objects which are not graded as the reference, and the difference value between the economic and environmental protection factors of other control objects and the reference is less than a fifth set threshold value epsilon5The method comprises the steps of dividing the control object into a first gear, and determining an active power adjustment interval corresponding to an economic and environmental protection factor of each control object in the first gear;
5-2) if the control objects which are not graded still exist, returning to the step 5-1) to select the reference and grading, and if not, finishing grading.
As a preferred embodiment, the optimization method includes:
aiming at the problem that the new energy power generation is limited due to insufficient safety margin of internal monitoring sections/elements of each provincial-level power grid, the maximum new energy consumption measure in the provincial dispatching and regulating range is optimized and solved according to the following steps:
6-1) taking wind power/photovoltaic power stations, water/thermal power stations, energy storage power stations and controllable loads of provincial dispatching pipes as candidate control objects;
6-2) optimizing and solving for the c-th round currently, if c is 1, setting the current economic environmental protection factors and the corresponding active adjustment intervals of all control objects as the current highest one-grade economic environmental protection factor and the corresponding active adjustment interval, and respectively adding deep peak-shaving water/thermal power stations, energy storage power stations and controllable loads in the water/thermal power stations into the water/thermal power stations
Figure BDA0002771279940000061
Assembling, constructing an optimization model according to the formula (2), and solving; if c is>1, then traverse Ad.S、Ae.S、Al.SIf the solving result of the c-1 th round of each control object is at the lower limit of the active adjustment interval corresponding to the current highest first-grade economic environmental protection factor, if so, the current economic environmental protection factor and the corresponding active adjustment interval of the control object are updated to be the next grade, otherwise, the current economic environmental protection factor and the corresponding active adjustment interval are kept, and the current economic environmental protection factor and the corresponding active adjustment interval are added according to the object type
Figure BDA0002771279940000062
Assembling, constructing an optimization model according to the formula (2), and solving;
6-3) if the instruction of the solution of the c-th round can enable all new energy power stations of the provincial dispatching management to be unlimited, ending the method, and if the new energy power stations are still limited, returning to 6-2, wherein c is c + 1;
Figure BDA0002771279940000071
in the formula (2), the reaction mixture is,
Figure BDA0002771279940000072
are each GSThe c-round economic and environmental protection factors of power stations, energy storage power stations and controllable loads participating in real-time scheduling control are provided, wherein i, m and k are serial numbers, the following is the same,
Figure BDA0002771279940000073
are each GSThe c-round active instructions of power stations, energy storage power stations and controllable loads participating in real-time scheduling control,
Figure BDA0002771279940000074
is GSThe deep peak shaving thermal power station, the energy storage power station and the controllable load which participate in the optimization of the c-th round are integrated,
Figure BDA0002771279940000075
Figure BDA0002771279940000076
respectively are the upper and lower limit intervals of the power station active instruction participating in real-time regulation and control in the optimization of the c-th round,
Figure BDA0002771279940000077
respectively relating to the upper and lower limit intervals of the active instruction of the energy storage power station in the optimization of the c-th round and participating in real-time regulation and control,
Figure BDA0002771279940000078
respectively in the upper and lower limit intervals, P, of the controllable load active instruction participating in real-time regulation and control in the optimization of the c-th roundb.tc.i、Ptl.tc.i、Pl.tc.iAre respectively tcThe active planning values of the loads which do not participate in real-time regulation and control of the water/thermal power station, the tie line and the real-time regulation and control are not participated at any moment; beta is the loss factor, lambdanIs the spare coefficient; p'a.tc.i.d、P'b.tc.i.dIs tcAnd the conventional standby lower limit of the water/thermal power station which participates in real-time regulation and the conventional standby lower limit of the water/thermal power station which does not participate in real-time regulation.
As a preferred embodiment, the optimization method includes:
if the S-th provincial power grid G in the regional power gridSThe new energy is limited in power generation, and TL is setsIs GSAnd the inter-provincial junctor plan of non-safety and stability constraint is removed from the junctor set of other provincial power grids in the region, and the power of the inter-provincial junctor is adjusted to be within the upper limit interval and the lower limit interval and the economic and environmental protection factor alphatl.lThe method comprises the steps that a network dispatcher comprehensively calculates and determines according to the real-time operation condition of a regional power grid, the inter-provincial power mutual-aid electric quantity balance and the inter-provincial auxiliary service transaction, and control objects such as a wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load, an inter-provincial connecting line and the like are classified according to economic and environmental protection factors; and (3) carrying out a round-by-round optimization solution by adopting an optimization model of the formula (3):
7-1) for the power of the interstation connection, the inflow G is setSThe method is a positive direction, and a provincial dispatching and regulating pipe wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load and an provincial interconnection line are taken as control objects;
7-2) optimizing and solving for the c-th round currently, if c is 1, setting the current economic environmental protection factors and the corresponding active adjustment intervals of all control objects as the current highest one-grade economic environmental protection factor and the corresponding active adjustment interval, and respectively adding deep peak-shaving water/thermal power stations, energy storage power stations and controllable loads in the water/thermal power stations into the water/thermal power stations
Figure BDA0002771279940000081
Assembling, constructing an optimization model according to the formula (3), and solving; if c is>1, then traverse Ad.S、Ae.S、Al.SIf the solving result of the c-1 th round of each control object is at the lower limit of the active adjustment interval corresponding to the current highest first-grade economic environmental protection factor, if so, the current economic environmental protection factor and the corresponding active adjustment interval of the control object are updated to the next grade, otherwise, the current economic environmental protection factor and the corresponding active adjustment interval are keptAnd add separately according to object type
Figure BDA0002771279940000091
Assembling, constructing an optimization model according to the formula (3), and solving;
7-3) if the instruction of the solution of the c-th round can enable all new energy power stations of the provincial dispatching management to be unlimited, ending the method, if the new energy power stations are still limited, returning to 7-2, wherein c is c + 1;
Figure BDA0002771279940000092
in the formula (3), the reaction mixture is,
Figure BDA0002771279940000093
is GSC-round economic and environmental protection factors of the provincial junctor participating in real-time scheduling control, wherein l is a serial number, and the following is the same;
Figure BDA0002771279940000094
is GSA set of inter-provincial links participating in the c-th optimization;
Figure BDA0002771279940000095
is GSC, taking part in the active instructions of the provincial junctor of real-time scheduling control;
Figure BDA0002771279940000096
is the upper and lower limits of the inter-provincial junctor instruction, P, participating in real-time regulation and control in the optimization of the c-th roundtl.t0.iIs t0The active power flow of the connecting line between provinces at all times.
As a preferred embodiment, the optimization method includes:
if the number of the provincial power grids with limited peak regulation is more than 1, A is setw、Ae.wThe water/thermal power station and the energy storage power station which are respectively a grid regulating pipe are integrated, and a provincial regulating pipe wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load and an inter-provincial connecting line are connected with each other, and the water/thermal power station and the energy storage power station which are respectively a grid regulating pipe are connected with each otherGrading the control objects according to economic and environmental protection factors; removing the inter-provincial junctor plan of non-safety and stability constraint, comprehensively calculating and determining the inter-provincial junctor power adjustment interval by the network dispatcher according to the real-time operation condition of the regional power grid, the inter-provincial power mutual-aid electric quantity balance and the inter-provincial auxiliary service transaction reporting information, and adding the cross-provincial and cross-regional sections with safety and stability constraint and operation or market transaction constraint into the monitoring section set SCl.w
And (3) performing a sub-round optimization solution by adopting an optimization model of a formula (4):
8-1) for the power of the interstation connection, the inflow G is setSThe method is a positive direction, and a provincial dispatching and regulating pipe wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load and an provincial interconnection line are taken as control objects;
8-2) optimizing and solving for the c-th round currently, if c is 1, setting the current economic and environmental protection factors and the corresponding active adjustment intervals of all control objects as the current highest economic and environmental protection factor and the corresponding active adjustment interval, and respectively adding deep peak regulation water/thermal power stations, energy storage power stations and controllable loads in the water/thermal power stations into the water/thermal power stations
Figure BDA0002771279940000102
Assembling, constructing an optimization model according to the formula (4), and solving; if c is>1, then traverse Ad.S、Ae.S、Al.SIf the solving result of the c-1 th round of each control object is at the lower limit of the active adjustment interval corresponding to the current highest first-grade economic environmental protection factor, if so, the current economic environmental protection factor and the corresponding active adjustment interval of the control object are updated to be the next grade, otherwise, the current economic environmental protection factor and the corresponding active adjustment interval are kept, and the current economic environmental protection factor and the corresponding active adjustment interval are added according to the object type
Figure BDA0002771279940000101
Assembling, constructing an optimization model according to the formula (4), and solving;
8-3) if the instructions of the c-th round of solution enable all the new energy power stations to be unlimited, ending the method; if all rounds of optimization solution are completed, the new energy is still limited, and the new energy is not limitedBecause the provincial or provincial section is limited, a cross-regional temporary spot transaction application is initiated, and the SC is revisedl.wThe corresponding limitation of the cross-region alternating/direct section is solved by using the optimization model of the formula (4), and the method is ended;
Figure BDA0002771279940000111
in the formula (4), the reaction mixture is,
Figure BDA0002771279940000112
is a set of water/thermal power stations and energy storage power stations participating in real-time regulation and control of a grid regulation and control pipe participating in the optimization of the c-th round, BwIs a set of water/thermal power stations of a network regulating pipe which do not participate in real-time regulation,
Figure BDA0002771279940000113
is an active control instruction of a water/thermal power station and an energy storage power station which participate in real-time regulation and control of a C-th optimized central network regulation and control pipe,
Figure BDA0002771279940000121
the upper limit and the lower limit of the active control instruction of the water/thermal power station of the network regulating pipe which participates in real-time regulation and control in the optimization of the c-th round,
Figure BDA0002771279940000122
the upper limit and the lower limit, P, of the active control instruction of the energy storage power station of the network regulating and controlling pipe participating in real-time regulation and control in the optimization of the c-th rounda.w.t0.i、Pae.w.t0.iT of water/thermal power station and energy storage power station participating in real-time regulation and control of network regulation and control pipe0Active power output at all times, Pb.w.t0.iT of water/thermal power station without participating in real-time regulation and control of network regulation and control pipe0Active power output at all times, Pb.w.tc.iT of water/thermal power station without participating in real-time regulation and control of network regulation and control pipecPlanned value of active output at time, Sa.w.j.i、Sae.w.j.i、 Sb.w.j.iIs the active sensitivity, P ', of the ith station to section j'a.w.tc.i.d、P'b.w.tc.i.dWater/thermal power with network regulating pipe participating in real-time regulationAnd the lower limit of the reserve of the station and the water/thermal power station which does not participate in real-time regulation.
The invention also provides a system for deciding the consumption of the new energy power generation of the regional power grid, which comprises the following steps:
an information aggregation module to perform: collecting operation information of a regional power grid and a provincial power grid;
a limited discrimination module to perform: judging the limited states of all new energy power stations in the regional power grid, entering a peak regulation judging module if the power generation of the new energy power stations is limited, and ending execution if the power generation of the new energy power stations is not limited;
a peak shaver discrimination module for executing: analyzing the limited range, reasons and levels of a new energy power station in a region, if only the local section in a province is limited, entering a local section solving module in the province, if only 1 province-level power grid is limited in peak shaving, entering a province-level power grid solving module, and if the number of the province-level power grids limited in peak shaving exceeds 1, entering a regional power grid solving module for limiting the peak shaving for the region level;
an intra-provincial local fracture surface solving module for executing: grading the control objects participating in the provincial power grid local section new energy maximum consumption according to economic and environmental protection factors, correcting a new energy maximum consumption model of the provincial local section by adopting the economic and environmental protection factors of the control objects and an adjusting space step by step and solving the model, finishing execution if the power generation limitation of the new energy is eliminated, and otherwise entering a regional power grid solving module;
a provincial power grid solving module for performing: grading the control objects participating in the provincial power grid new energy maximum consumption according to economic and environmental protection factors, correcting a new energy maximum consumption model of the provincial power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step and solving the model, finishing execution if the generation limitation of the new energy is eliminated, and entering a regional power grid solving module if the generation limitation of the new energy is not eliminated;
a regional power grid solving module for performing: and grading the control objects participating in the maximum consumption of the new energy of the regional power grid according to the economic and environmental protection factors, correcting the maximum consumption model of the new energy of the regional power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step, and solving the model.
The invention also proposes a device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of the invention are implemented when the processor executes the program.
The invention also proposes a medium on which a computer program is stored, characterized in that the computer program realizes the steps of the method according to the invention when executed by a processor.
The invention achieves the following beneficial effects: 1) the method overcomes the defect that the sectional economic cost model of the control objects such as a water/thermal power station deep peak regulation, an energy storage power station, a controllable load and the like is not considered in the conventional multi-type power station active complementary optimization control, and describes the multi-section economic cost of each type of control object as economic environmental protection factors corresponding to a plurality of active adjustment intervals of the control object; 2) according to the method, all the control objects are classified according to economic and environmental protection factors, and are solved through a multi-turn optimization strategy, so that the adaptability of the optimization method to the segmented model is improved; 3) according to the method, models are respectively constructed aiming at new energy consumption problems of different levels, the situation that a small range is limited and a full-area model is adopted for solving is avoided, and the calculation efficiency is improved; 4) The method of the invention considers multi-type and multi-level consumption measures including trans-provincial and trans-regional temporary electric power transaction, and can provide comprehensive decision support for scheduling personnel.
Drawings
Fig. 1 is a flowchart of a regional power grid new energy power generation consumption optimization method in an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1: one embodiment of the present invention is illustrated in FIG. 1.
Step 1 in fig. 1 describes that the provincial power grid dispatching center is called provincial dispatching, and the unified dispatching is called provincial dispatchingA regional power grid dispatching center for a plurality of provincial power grids is called as a grid dispatching center; is set to t0Current time, tcAdjusting the target generation time for a new power station, an energy storage power station, a control instruction of a controllable load and an AC/DC connecting line, and collecting the following information in a real-time active scheduling control system of a network scheduling:
a-1) Collection of t0The real-time operation information, the real-time scheduling plan and the power station output prediction information of the power grid of the time network dispatching and provincial dispatching management comprise information of various power station outputs, monitoring sections/elements (hereinafter referred to as monitoring sections or sections) tidal currents, sensitivity of the power station outputs to the monitoring sections, dynamic limits of the sections, AC/DC tie line tidal currents, the real-time scheduling plan, ultra-short-term output prediction of a new energy power station and the like of the network dispatching and the provincial dispatching management;
a-2) Collection of t0Real-time running information of wind power/photovoltaic power stations, water/thermal power stations, energy storage and controllable loads of a moment network dispatching and provincial dispatching management and transaction information of declaration, bargaining and the like participating in spot market and peak-regulation auxiliary service market;
a-3) Collection of t0Mutually complementing accumulated electric quantity information between the provinces at the moment;
a-4) Collection of t0The adjustable range of the AC/DC connecting line of the cross-regional power grid and the cross-provincial power grid at any moment and the corresponding economic cost.
Step 2 in fig. 1 describes that the limited states of all new energy power stations in the regional power grid are judged, and the steps are as follows:
b-1) if the ultra-short-term prediction precision of the new energy power station i is larger than the set threshold value epsilon1,ε1If the value is set to be larger than 0.9, the ultra-short-term predicted values P of the new energy power stations are comparedr,t0,iAnd the current instruction value Pa,t0,iIf P isa,t0,i-Pr,t0,i≤ε2If the new energy power station i is in the power generation limited state, epsilon2Setting a threshold value, generally 0.5-2 MW;
b-2) if the ultra-short-term prediction precision of the new energy power station i is less than epsilon1Then, each new energy power station t is compared0Moment force P0,t0,iAnd t0Time of day instructionValue Pa,t0,iIf P isa,t0,i-P0,t0,i≤ε3If the new energy power station i is in the power generation limited state, epsilon3The threshold value is set to be 1-2.5 MW, epsilon32
Step 3 in fig. 1 describes that the following steps are adopted to analyze the limited range, reason and level of new energy power generation in the regional power grid, and corresponding subsequent steps are selected according to different limited ranges and levels:
c-1) if the ultra-short-term predicted value is adopted to judge that the new energy power station is limited in the step 2, calculating the safety margin of each monitoring section and the inter-provincial connection section in the S-th provincial power grid by adopting a formula (1), and if the current output is adopted to judge whether the monitoring section is limited in the step 2, acquiring the real-time safety margin of each monitoring section from an EMS (energy Management system);
c-2) if there is a monitoring section with a safety margin smaller than a threshold value epsilon4,ε4Generally, 1-2% is selected, and the new energy power station associated with the section is limited, so that the safety constraint of the section associated with the new energy power station is limited, which is referred to as section limitation for short;
c-3) if the provincial dispatching center regulates the new energy power station and is limited, the water/thermal power generating unit reaches the lower limit of the basic peak regulation output, and the connecting line of the provincial power grid and other provincial power grids reaches the upper limit of the plan value, the new energy power generation of the provincial power grid is limited due to insufficient basic peak regulation capacity, which is called peak regulation limitation for short;
c-4) summarizing all the information of the intra-provincial sections with the new energy power station limitation, if only the intra-provincial sections cause the relevant new energy to be limited due to safety constraint, the current limited level is that intra-provincial local sections are limited, and entering the step 4; if only 1 provincial power grid peak regulation limitation exists, the current limited level is that the provincial power grid is limited due to insufficient basic peak regulation capacity, and the step 5 is carried out; if the number of the provincial power grids with limited peak shaving is more than 1, limiting peak shaving of the regional power grid level, and entering a step 6;
Figure BDA0002771279940000161
in the formula (1), S represents the S-th provincial power grid G in the regional power gridS,AS、Ae.S、Al.SIs GSCollections of power stations, energy storage plants, controllable loads, participating in real-time dispatch control, BS、 Lb.SIs GSWater/thermal power station, load set without participating in real-time scheduling control, TLSIs GSWith other provincial power grid connections within the area, SCl.sIs GSA set of all monitoring sections; psc.j.0Is t0Time SCl.sActive of the j-th section or element, Sa.j.i、Sae.j.i、Sb.j.i、 Stl.j.i、Sl.j.i、Sal.j.iRespectively, the sensitivity of the active change of the ith participating in real-time regulation and control of a new energy/water/thermal power station, the energy storage power station participating in regulation and control, the non-participating in regulation and control of a water/thermal power station, the section of an inter-provincial connecting line, the non-regulatable load and the regulatable load to the active power flow of the jth section or element; pa.t0.i、Pae.t0.i、Pb.t0.i、Ptl.t0.i、Pl.t0.i、Pal.t0.iAre respectively t0The ith real-time regulation and control of the active power of a new energy/water/thermal power station, an energy storage power station participating in regulation and control, a water/thermal power station not participating in regulation and control, an inter-provincial connecting line section, a non-controllable load and a controllable load; pa.tc.i、Pae.tc.i、 Ptl.tc.i、Pal.tc.iAre respectively tcThe ith real-time regulation and control of active instructions of a new energy/water/thermal power station, an energy storage power station, an inter-provincial connecting line section and participation of load regulation and control are carried out at the moment; pb.tc.i、Pl.tc.iAre respectively tcThe ith does not participate in regulating and controlling the scheduling plan value of the water/power station and the active prediction value of the load; etaj、Psc.lmt.jIs SCl.sThe safety margin and the section quota of the jth monitoring section or element in (1).
Step 4 in fig. 1 describes that, the wind power/photovoltaic power station, the water/thermal power station, the energy storage power station, controllable load, control objects such as ac/dc tie lines of dispatching center accent management at different levels, every control object contains a plurality of active adjustment regions and every adjustment region corresponds an economic environmental protection factor, divide all control objects into grades according to economic environmental protection factor, same control object has n (n >1) economic environmental protection factors, n economic environmental protection factors all participate in dividing into grades and must divide into different grades, every wind power/photovoltaic power station generally establishes to only 1 economic environmental protection factor and 1 active adjustment region, the step of dividing into grades is as follows:
d-1) selecting the maximum value of the economic and environmental protection factors in the current control objects which are not graded as a reference, wherein the difference value between the economic and environmental protection factors of other control objects and the reference is less than a threshold value epsilon5Is divided into one step, epsilon5Generally setting the power regulation interval to be 0.15-0.2, and determining the active power regulation interval corresponding to each control object in the economic and environmental protection factor;
d-2) if the control object which is not graded still exists, returning to the step d-1) to select the reference and grading, and if not, finishing grading;
aiming at the problem that the new energy power generation is limited due to insufficient safety margin of internal sections/elements of each provincial-level power grid, the maximum new energy consumption measure in the provincial dispatching and regulating range is optimized and solved according to the following steps:
e-1) taking wind power/photovoltaic power stations, water/thermal power stations, energy storage power stations and controllable loads of provincial dispatching pipes as candidate control objects;
e-2) currently performing optimized solution on the c-th round, if c is 1, setting the current economic and environmental protection factors and the corresponding active adjustment intervals of all control objects as the current highest one-grade economic and environmental protection factor and the corresponding active adjustment interval, and respectively adding deep peak-shaving water/thermal power stations, energy storage power stations and controllable loads in the water/thermal power stations into the water/thermal power stations
Figure BDA0002771279940000181
Assembling, constructing an optimization model according to the formula (2), and solving; if c is>1, then traverse Ad.S、Ae.S、Al.SWhether the solving result of the c-1 th round of each control object is at the lower limit of the active adjustment interval corresponding to the current highest first-grade economic environmental protection factor or not is judged, if yes, the current economic environmental protection factor and the corresponding active adjustment interval of the control object are both increasedThe current economic environmental protection factor and the corresponding active power adjustment interval are kept and added according to the object type
Figure BDA0002771279940000182
Assembling, constructing an optimization model according to the formula (2), and solving;
e-3) if the instruction of the c-th round of solution can enable all the new energy power stations of the provincial dispatching management to be unlimited, ending the method, if the new energy power stations are still limited, if the new energy power stations are limited, returning to e-2, and if the new energy power stations are limited, changing c to c + 1;
solving the local power limiting problem of each provincial power grid according to the steps, ending the method if all provincial power grids can eliminate power limiting, and updating each control object t if the provincial power grids are still limited after all stages of optimization are ended0The active output at the moment is the current instruction, and the t of each monitoring section/element is updated correspondingly0And 6, entering step 6 when the active power flow is the current power flow.
Figure BDA0002771279940000191
In the formula (2), the reaction mixture is,
Figure BDA0002771279940000192
are each GSThe c-round economic and environmental protection factors of power stations, energy storage power stations and controllable loads participating in real-time scheduling control are provided, wherein i, m and k are serial numbers, the following is the same,
Figure BDA0002771279940000193
are each GSThe c-round active instructions of power stations, energy storage power stations and controllable loads participating in real-time scheduling control,
Figure BDA0002771279940000194
is GSThe deep peak shaving thermal power station, the energy storage power station and the controllable load which participate in the optimization of the c-th round are integrated,
Figure BDA0002771279940000195
Figure BDA0002771279940000196
respectively are the upper and lower limit intervals of the power station active instruction participating in real-time regulation and control in the optimization of the c-th round,
Figure BDA0002771279940000197
respectively relating to the upper and lower limit intervals of the active instruction of the energy storage power station in the optimization of the c-th round and participating in real-time regulation and control,
Figure BDA0002771279940000198
respectively in the upper and lower limit intervals, P, of the controllable load active instruction participating in real-time regulation and control in the optimization of the c-th roundb.tc.i、Ptl.tc.i、Pl.tc.iAre respectively tcThe active planning values of the loads which do not participate in real-time regulation and control of the water/thermal power station, the tie line and the real-time regulation and control are not participated at any moment; beta is the loss factor, lambdanIs the spare coefficient; p'a.tc.i.d、P'b.tc.i.dIs tcAnd the conventional standby lower limit of the water/thermal power station which participates in real-time regulation and the conventional standby lower limit of the water/thermal power station which does not participate in real-time regulation.
Step 5 in fig. 1 illustrates that if the S-th provincial power grid G in the regional power grid is presentSThe new energy is limited in power generation, and TL is setsIs GSAnd the inter-provincial junctor plan of non-safety and stability constraint is removed from the junctor set of other provincial power grids in the region, and the power of the inter-provincial junctor is adjusted to be within the upper limit interval and the lower limit interval and the economic and environmental protection factor alphatl.lThe method comprises the steps that a network dispatcher comprehensively calculates and determines according to the real-time operation condition of a regional power grid, the inter-provincial power mutual-aid electric quantity balance and the inter-provincial auxiliary service transaction, and control objects such as a wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load, an inter-provincial connecting line and the like are classified according to economic and environmental protection factors; for the power of the inter-provincial links, the inflow G is setSTaking a wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load and an inter-provincial connecting line as control objects in the positive direction, and performing a sub-wheel optimization solution by using the optimization model of the formula (3) by adopting the sub-wheel optimization method in the step 4;
if G isSIn all roundsIf the new energy power station is still limited after the optimization is finished, updating each control object t0The active output at all times is the current instruction, and the t of each monitoring section is updated correspondingly0And 6, entering step 6 when the active power flow is the current power flow.
Figure BDA0002771279940000201
In the formula (3), the reaction mixture is,
Figure BDA0002771279940000202
is GSC-round economic and environmental protection factors of the provincial junctor participating in real-time scheduling control, wherein l is a serial number, and the following is the same;
Figure BDA0002771279940000203
is GSA set of inter-provincial links participating in the c-th optimization;
Figure BDA0002771279940000211
is GSC, taking part in the active instructions of the provincial junctor of real-time scheduling control;
Figure BDA0002771279940000212
is the upper and lower limits of the inter-provincial junctor instruction, P, participating in real-time regulation and control in the optimization of the c-th roundtl.t0.iIs t0The active power flow of the connecting line between provinces at all times.
Step 6 in fig. 1 illustrates that if the number of the provincial power grids with limited peak shaving is more than 1, a is setw、Ae.wThe method comprises the steps that the method is respectively a collection of a water/thermal power station and an energy storage power station of a grid regulating and regulating pipe, and the control objects of a wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load, an inter-provincial connecting line, the water/thermal power station, the energy storage power station and the like of the grid regulating and regulating pipe are classified according to economic and environmental protection factors; removing the inter-provincial junctor plan of non-safety and stability constraint, wherein the inter-provincial junctor power adjustment interval is determined by the network dispatcher according to the real-time operation condition of the regional power grid, the balance of inter-provincial power mutual-aid electric quantity and the inter-provincial auxiliary service transaction reporting information through comprehensive calculation, andadding the cross-province and cross-district cross-section with safety and stability constraint and operation or market transaction constraint into a monitoring cross-section set SCl.w
Adopting the step 4 of the sub-round optimization method, performing sub-round optimization solution by using the optimization model of the formula (4), and if the instruction of the c-th round solution causes all the new energy power stations to be unlimited, ending the method; if the new energy is still limited after all rounds of optimization solution are finished and the provincial or provincial section is not limited, a cross-regional temporary spot transaction application is initiated, and the SC is correctedl.wThe corresponding limitation of the cross-region alternating/direct cross section is solved by using the optimization model of the formula (4), and the method is ended.
Figure BDA0002771279940000221
In the formula (4), the reaction mixture is,
Figure BDA0002771279940000222
is a set of water/thermal power stations and energy storage power stations participating in real-time regulation and control of a grid regulation and control pipe participating in the optimization of the c-th round, BwIs a set of water/thermal power stations of a network regulating pipe which do not participate in real-time regulation,
Figure BDA0002771279940000223
is an active control instruction of a water/thermal power station and an energy storage power station which participate in real-time regulation and control of a C-th optimized central network regulation and control pipe,
Figure BDA0002771279940000224
the upper limit and the lower limit of the active control instruction of the water/thermal power station of the network regulating pipe which participates in real-time regulation and control in the optimization of the c-th round,
Figure BDA0002771279940000225
the upper limit and the lower limit, P, of the active control instruction of the energy storage power station of the network regulating and controlling pipe participating in real-time regulation and control in the optimization of the c-th rounda.w.t0.i、Pae.w.t0.iT of water/thermal power station and energy storage power station participating in real-time regulation and control of network regulation and control pipe0Active power output at all times, Pb.w.t0.iIs a network toneT of water/thermal power station with pipe adjustment not participating in real-time regulation0Active power output at all times, Pb.w.tc.iT of water/thermal power station without participating in real-time regulation and control of network regulation and control pipecPlanned value of active output at time, Sa.w.j.i、Sae.w.j.i、 Sb.w.j.iIs the active sensitivity, P ', of the ith station to section j'a.w.tc.i.d、P'b.w.tc.i.dAnd the lower limit of the network regulating pipe is reserved for the water/thermal power station which participates in real-time regulation and the water/thermal power station which does not participate in real-time regulation.
Example 2: the invention also provides a system for deciding the consumption of the new energy power generation of the regional power grid, which comprises the following steps:
an information aggregation module to perform: collecting real-time operation information, real-time scheduling plans, power station output prediction information and declaration and bargaining information of spot market/auxiliary service market of the regional power grid and provincial power grid in a real-time active scheduling control system of a regional power grid scheduling center;
a limited discrimination module to perform: judging the limited states of all new energy power stations in the regional power grid, entering a peak regulation judging module if the power generation of the new energy power stations is limited, and ending execution if the power generation of the new energy power stations is not limited;
a peak shaver discrimination module for executing: analyzing the limited range, reasons and levels of a new energy power station in a region, if only the local section in a province is limited, entering a local section solving module in the province, if only 1 province-level power grid is limited in peak shaving, entering a province-level power grid solving module, and if the number of the province-level power grids limited in peak shaving exceeds 1, entering a regional power grid solving module for limiting the peak shaving for the region level;
an intra-provincial local fracture surface solving module for executing: grading the control objects participating in the provincial power grid local section new energy maximum consumption according to economic and environmental protection factors, correcting a new energy maximum consumption model of the provincial local section by adopting the economic and environmental protection factors of the control objects and an adjusting space step by step and solving the model, finishing execution if the power generation limitation of the new energy is eliminated, and otherwise entering a regional power grid solving module;
a provincial power grid solving module for performing: grading the control objects participating in the provincial power grid new energy maximum consumption according to economic and environmental protection factors, correcting a new energy maximum consumption model of the provincial power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step and solving the model, finishing execution if the generation limitation of the new energy is eliminated, and entering a regional power grid solving module if the generation limitation of the new energy is not eliminated;
a regional power grid solving module for performing: and grading the control objects participating in the maximum consumption of the new energy of the regional power grid according to the economic and environmental protection factors, correcting the maximum consumption model of the new energy of the regional power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step, and solving the model.
Example 3: the invention also proposes a device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of the invention are implemented when the processor executes the program.
Example 4: the invention also proposes a medium on which a computer program is stored, characterized in that the computer program realizes the steps of the method according to the invention when executed by a processor.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (11)

1. The optimization method for the new energy power generation consumption of the regional power grid is characterized by comprising the following steps:
step SS 1: collecting operation information of a regional power grid and a provincial power grid;
step SS 2: judging the limited states of all new energy power stations in the regional power grid, if the power generation of the new energy power stations is limited, entering a step SS3, and if the power generation of the new energy power stations is not limited, ending the execution of the method;
step SS 3: analyzing the limited range, reasons and levels of the new energy power station in the region, if only the local section in a province is limited, entering a step SS4, if only 1 province-level power grid peak shaving limitation exists, entering a step SS5, if the number of the province-level power grids with the peak shaving limitation exceeds 1, entering a step SS6, wherein the regional level peak shaving limitation is achieved;
step SS 4: grading the control objects participating in the provincial power grid local section new energy maximum consumption according to economic and environment-friendly factors, correcting the provincial local section new energy maximum consumption model by adopting the economic and environment-friendly factors of the control objects and the adjustment space step by step and solving the model, finishing executing the method if the power generation limitation of the new energy is eliminated, and otherwise, entering a step SS 6;
step SS 5: grading the control objects participating in the provincial power grid new energy maximum consumption according to economic and environmental protection factors, correcting a provincial power grid new energy maximum consumption model by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step and solving the model, if the power generation limitation of the new energy is eliminated, ending the execution of the method, otherwise, entering a step SS 6;
step SS 6: and grading the control objects participating in the maximum consumption of the new energy of the regional power grid according to the economic and environmental protection factors, correcting the maximum consumption model of the new energy of the regional power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step, and solving the model.
2. The regional power grid new energy power generation consumption optimization method according to claim 1, wherein the step SS1 comprises: a provincial power grid dispatching center is called a provincial dispatching, and a regional power grid dispatching center for uniformly dispatching a plurality of provincial power grids is called a network dispatching; let t0Is the current time, tcAdjusting the target generation time for a new power station, an energy storage power station, a control instruction of a controllable load and an AC/DC connecting line, and collecting the following information in a real-time active scheduling control system of a network scheduling:
2-1) Collection of t0Real-time operation information, real-time scheduling plan and power station output of time network dispatching and provincial dispatching management power gridThe force prediction information comprises various power station output, monitoring section/element power flow, sensitivity of the power station output to the monitoring section/element, dynamic quota of the monitoring section/element, AC/DC tie line power flow, a real-time scheduling plan and new energy power station ultra-short term output prediction information of a network dispatching and provincial dispatching management;
2-2) Collection of t0Real-time running information of water/thermal power stations, energy storage and controllable loads of a time network dispatching and provincial dispatching management and declaration and bargain transaction information participating in spot markets and peak regulation auxiliary service markets;
2-3) Collection of t0Mutually complementing accumulated electric quantity information between the provinces at the moment;
2-4) Collection of t0The adjustable range of the AC/DC connecting line of the cross-regional power grid and the cross-provincial power grid at any moment and the corresponding economic cost.
3. The regional power grid new energy power generation consumption optimization method according to claim 1, wherein in the step SS2, the limited state of all new energy power stations in the regional power grid is judged according to the following steps:
3-1) if the ultra-short-term prediction precision of the new energy power station i is greater than a first set threshold value epsilon1Comparing the ultra-short-term predicted values P of the new energy power stationsr,t0,iAnd the current instruction value Pa,t0,iIf P isa,t0,i-Pr,t0,i≤ε2If the new energy power station i is in the power generation limited state, epsilon2Is a second set threshold value;
3-2) if the ultra-short-term prediction precision of the new energy power station i is less than epsilon1Then comparing the new energy power stations t0Moment force P0,t0,iAnd t0Time of day instruction value Pa,t0,iIf P isa,t0,i-P0,t0,i≤ε3If the new energy power station i is in the power generation limited state, epsilon3Is a third set threshold value, ε32
4. The regional power grid new energy power generation consumption optimization method according to claim 1, wherein the step SS3 is implemented by analyzing the limited range, reason and level of new energy power generation in a region by the following steps:
4-1) if the ultra-short-term predicted value is adopted to judge the limited state of the new energy power station, calculating the safety margin of each monitoring section and an inter-provincial connection section in the S-th provincial power grid by adopting the formula (1), and if the current output is adopted to judge whether the limited state exists, acquiring the real-time safety margin of each monitoring section/element from the EMS;
4-2) if there is a monitoring section/element with a real-time safety margin smaller than a fourth set threshold epsilon4If the new energy power station related to the monitoring section/element is limited, judging that the safety constraint of the new energy power station related to the monitoring section/element is limited due to the breakage of the monitoring section/element, namely the section is limited;
4-3) if the provincial dispatching center regulates the new energy power station and is limited, the water/fire units participating in peak regulation all reach the lower limit of basic peak regulation output, and the connecting lines of the provincial power grid and other provincial power grids reach the upper limit of a plan value, judging that the new energy power station of the provincial power grid is limited due to insufficient basic peak regulation capacity, namely peak regulation is limited;
4-4) summarizing all information of the intra-provincial monitoring sections/elements with the new energy power station limitation, wherein if only the intra-provincial monitoring sections/elements cause the related new energy power generation limitation due to safety constraint, the current limited level is that intra-provincial local sections are limited; if only 1 provincial power grid peak shaving limitation exists, the current limited level is the provincial power grid peak shaving limitation; if the number of the provincial power grids with limited peak regulation is more than 1, limiting the peak regulation of the regional level;
Figure FDA0002771279930000041
in the formula (1), S represents the S-th provincial power grid G in the regional power gridS,AS、Ae.S、Al.SIs GSCollections of power stations, energy storage plants, controllable loads, participating in real-time dispatch control, BS、Lb.SIs GSWater/thermal power station, load set without participating in real-time scheduling control, TLSIs GSWith other provincial power grid connections within the area, SCl.sIs GSA set of all monitoring sections; psc.j.0Is t0Time SCl.sActive, S, of the j-th monitoring section or elementa.j.i、Sae.j.i、Sb.j.i、Stl.j.i、Sl.j.i、Sal.j.iThe sensitivity of the active change of the ith participating real-time regulation and control new energy/water/thermal power station, the energy storage power station participating in regulation and control, the non-participating regulation and control water/thermal power station, the inter-provincial connecting line monitoring section/element, the non-regulation and control load and the controllable load to the active power flow of the jth monitoring section or element is respectively determined; pa.t0.i、Pae.t0.i、Pb.t0.i、Ptl.t0.i、Pl.t0.i、Pal.t0.iAre respectively t0The ith real-time regulation and control of the active power of a new energy/water/thermal power station, an energy storage power station participating in regulation and control, a water/thermal power station not participating in regulation and control, an inter-provincial connecting line monitoring section/element, a non-controllable load and a controllable load; pa.tc.i、Pae.tc.i、Ptl.tc.i、Pal.tc.iAre respectively tcThe ith real-time regulation and control of active instructions of a new energy/water/thermal power station, an energy storage power station, an inter-provincial connecting line monitoring section/element and participation of load regulation and control; pb.tc.i、Pl.tc.iAre respectively tcThe ith does not participate in regulating and controlling the scheduling plan value of the water/thermal power station and does not participate in regulating and controlling the active prediction value of the load; etaj、Psc.lmt.jIs SCl.sThe safety margin and the section quota of the jth monitoring section or element in (1).
5. The regional power grid new energy power generation consumption optimization method according to claim 1, wherein the optimization method comprises the following steps: the control object of each grade of dispatch center transfer pipe contains wind-powered electricity generation/photovoltaic power station, water/thermal power station, the energy storage power station, controllable load and AC/DC tie line, every control object contains a plurality of active adjustment interval, and every active adjustment interval corresponds an economic environmental protection factor, divide the shelves with all control objects according to economic environmental protection factor, same control object has n economic environmental protection factors, n economic environmental protection factors all participate in the shelves and must divide into different shelves, every wind-powered electricity generation/photovoltaic power station is established to only 1 economic environmental protection factor and 1 shelves active adjustment interval, wherein n >1, the step of shelves is as follows:
5-1) selecting the maximum value of the economic and environmental protection factors in the current control objects which are not graded as the reference, and the difference value between the economic and environmental protection factors of other control objects and the reference is less than a fifth set threshold value epsilon5The method comprises the steps of dividing the control object into a first gear, and determining an active power adjustment interval corresponding to an economic and environmental protection factor of each control object in the first gear;
5-2) if the control objects which are not graded still exist, returning to the step 5-1) to select the reference and grading, and if not, finishing grading.
6. The regional power grid new energy power generation consumption optimization method according to claim 1, wherein the optimization method comprises the following steps:
aiming at the problem that the new energy power generation is limited due to insufficient safety margin of internal monitoring sections/elements of each provincial-level power grid, the maximum new energy consumption measure in the provincial dispatching and regulating range is optimized and solved according to the following steps:
6-1) taking wind power/photovoltaic power stations, water/thermal power stations, energy storage power stations and controllable loads of provincial dispatching pipes as candidate control objects;
6-2) optimizing and solving for the c-th round currently, if c is 1, setting the current economic environmental protection factors and the corresponding active adjustment intervals of all control objects as the current highest one-grade economic environmental protection factor and the corresponding active adjustment interval, and respectively adding deep peak-shaving water/thermal power stations, energy storage power stations and controllable loads in the water/thermal power stations into the water/thermal power stations
Figure FDA0002771279930000061
Assembling, constructing an optimization model according to the formula (2), and solving; if c is>1, then traverse Ad.S、Ae.S、Al.SWhether the solving result of the c-1 th round of each control object is in the lower limit of the active adjustment interval corresponding to the current highest first-grade economic environmental protection factor or not is judged, if yes, the current economic environmental protection factor and the current economic environmental protection factor pair of the control object are comparedThe corresponding active power adjustment intervals are updated to the next gear, otherwise, the current economic environmental protection factors and the corresponding active power adjustment intervals are kept and added according to the object types
Figure FDA0002771279930000062
Assembling, constructing an optimization model according to the formula (2), and solving;
6-3) if the instruction of the solution of the c-th round can enable all new energy power stations of the provincial dispatching management to be unlimited, ending the method, and if the new energy power stations are still limited, returning to 6-2, wherein c is c + 1;
Figure FDA0002771279930000063
in the formula (2), the reaction mixture is,
Figure FDA0002771279930000064
are each GSThe c-round economic and environmental protection factors of power stations, energy storage power stations and controllable loads participating in real-time scheduling control are provided, wherein i, m and k are serial numbers, the following is the same,
Figure FDA0002771279930000071
are each GSThe c-round active instructions of power stations, energy storage power stations and controllable loads participating in real-time scheduling control,
Figure FDA0002771279930000072
is GSThe deep peak shaving thermal power station, the energy storage power station and the controllable load which participate in the optimization of the c-th round are integrated,
Figure FDA0002771279930000073
Figure FDA0002771279930000074
respectively are the upper and lower limit intervals of the power station active instruction participating in real-time regulation and control in the optimization of the c-th round,
Figure FDA0002771279930000075
respectively relating to the upper and lower limit intervals of the active instruction of the energy storage power station in the optimization of the c-th round and participating in real-time regulation and control,
Figure FDA0002771279930000076
respectively in the upper and lower limit intervals, P, of the controllable load active instruction participating in real-time regulation and control in the optimization of the c-th roundb.tc.i、Ptl.tc.i、Pl.tc.iAre respectively tcThe active planning values of the loads which do not participate in real-time regulation and control of the water/thermal power station, the tie line and the real-time regulation and control are not participated at any moment; beta is the loss factor, lambdanIs the spare coefficient; p'a.tc.i.d、P′b.tc.i.dIs tcAnd the conventional standby lower limit of the water/thermal power station which participates in real-time regulation and the conventional standby lower limit of the water/thermal power station which does not participate in real-time regulation.
7. The regional power grid new energy power generation consumption optimization method according to claim 1, wherein the optimization method comprises the following steps:
if the S-th provincial power grid G in the regional power gridSThe new energy is limited in power generation, and TL is setsIs GSAnd the inter-provincial junctor plan of non-safety and stability constraint is removed from the junctor set of other provincial power grids in the region, and the power of the inter-provincial junctor is adjusted to be within the upper limit interval and the lower limit interval and the economic and environmental protection factor alphatl.lThe method comprises the steps that a network dispatcher comprehensively calculates and determines according to the real-time operation condition of a regional power grid, the inter-provincial power mutual-aid electric quantity balance and the inter-provincial auxiliary service transaction, and control objects such as a wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load, an inter-provincial connecting line and the like are classified according to economic and environmental protection factors; and (3) carrying out a round-by-round optimization solution by adopting an optimization model of the formula (3):
7-1) for the power of the interstation connection, the inflow G is setSThe method is a positive direction, and a provincial dispatching and regulating pipe wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load and an provincial interconnection line are taken as control objects;
7-2) currently performing optimization solution on the c-th round, and if c is 1, setting current economic and environmental protection factors of all control objectsAnd the corresponding active adjustment interval is the highest economic environmental protection factor of the first grade at present and the corresponding active adjustment interval, and the deep peak-shaving thermal power station, the energy storage power station and the controllable load in the thermal power station are respectively added
Figure FDA0002771279930000081
Assembling, constructing an optimization model according to the formula (3), and solving; if c is>1, then traverse Ad.S、Ae.S、Al.SIf the solving result of the c-1 th round of each control object is at the lower limit of the active adjustment interval corresponding to the current highest first-grade economic environmental protection factor, if so, the current economic environmental protection factor and the corresponding active adjustment interval of the control object are updated to be the next grade, otherwise, the current economic environmental protection factor and the corresponding active adjustment interval are kept, and the current economic environmental protection factor and the corresponding active adjustment interval are added according to the object type
Figure FDA0002771279930000082
Assembling, constructing an optimization model according to the formula (3), and solving;
7-3) if the instruction of the solution of the c-th round can enable all new energy power stations of the provincial dispatching management to be unlimited, ending the method, if the new energy power stations are still limited, returning to 7-2, wherein c is c + 1;
Figure FDA0002771279930000091
in the formula (3), the reaction mixture is,
Figure FDA0002771279930000092
is GSC-round economic and environmental protection factors of the provincial junctor participating in real-time scheduling control, wherein l is a serial number, and the following is the same;
Figure FDA0002771279930000093
is GSA set of inter-provincial links participating in the c-th optimization;
Figure FDA0002771279930000094
is GSC, taking part in the active instructions of the provincial junctor of real-time scheduling control;
Figure FDA0002771279930000095
is the upper and lower limits of the inter-provincial junctor instruction, P, participating in real-time regulation and control in the optimization of the c-th roundtl.t0.iIs t0The active power flow of the connecting line between provinces at all times.
8. The regional power grid new energy power generation consumption optimization method according to claim 1, wherein the optimization method comprises the following steps:
if the number of the provincial power grids with limited peak regulation is more than 1, A is setw、Ae.wThe method comprises the steps that the method is respectively a collection of a water/thermal power station and an energy storage power station of a grid regulating and regulating pipe, and the control objects of a wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load, an inter-provincial connecting line, the water/thermal power station, the energy storage power station and the like of the grid regulating and regulating pipe are classified according to economic and environmental protection factors; removing the inter-provincial junctor plan of non-safety and stability constraint, comprehensively calculating and determining the inter-provincial junctor power adjustment interval by the network dispatcher according to the real-time operation condition of the regional power grid, the inter-provincial power mutual-aid electric quantity balance and the inter-provincial auxiliary service transaction reporting information, and adding the cross-provincial and cross-regional sections with safety and stability constraint and operation or market transaction constraint into the monitoring section set SCl.w
And (3) performing a sub-round optimization solution by adopting an optimization model of a formula (4):
8-1) for the power of the interstation connection, the inflow G is setSThe method is a positive direction, and a provincial dispatching and regulating pipe wind power/photovoltaic power station, a water/thermal power station, an energy storage power station, a controllable load and an provincial interconnection line are taken as control objects;
8-2) optimizing and solving for the c-th round currently, if c is 1, setting the current economic and environmental protection factors and the corresponding active adjustment intervals of all control objects as the current highest economic and environmental protection factor and the corresponding active adjustment interval, and respectively adding deep peak regulation water/thermal power stations, energy storage power stations and controllable loads in the water/thermal power stations into the water/thermal power stations
Figure FDA0002771279930000101
Assembling, constructing an optimization model according to the formula (4), and solving; if c is>1, then traverse Ad.S、Ae.S、Al.SIf the solving result of the c-1 th round of each control object is at the lower limit of the active adjustment interval corresponding to the current highest first-grade economic environmental protection factor, if so, the current economic environmental protection factor and the corresponding active adjustment interval of the control object are updated to be the next grade, otherwise, the current economic environmental protection factor and the corresponding active adjustment interval are kept, and the current economic environmental protection factor and the corresponding active adjustment interval are added according to the object type
Figure FDA0002771279930000102
Assembling, constructing an optimization model according to the formula (4), and solving;
8-3) if the instructions of the c-th round of solution enable all the new energy power stations to be unlimited, ending the method; if the new energy is still limited after all rounds of optimization solution are finished and the provincial or provincial section is not limited, a cross-regional temporary spot transaction application is initiated, and the SC is correctedl.wThe corresponding limitation of the cross-region alternating/direct section is solved by using the optimization model of the formula (4), and the method is ended;
Figure FDA0002771279930000111
in the formula (4), the reaction mixture is,
Figure FDA0002771279930000112
is a set of water/thermal power stations and energy storage power stations participating in real-time regulation and control of a grid regulation and control pipe participating in the optimization of the c-th round, BwIs a set of water/thermal power stations of a network regulating pipe which do not participate in real-time regulation,
Figure FDA0002771279930000113
is an active control instruction of a water/thermal power station and an energy storage power station which participate in real-time regulation and control of a C-th optimized central network regulation and control pipe,
Figure FDA0002771279930000114
the upper limit and the lower limit of the active control instruction of the water/thermal power station of the network regulating pipe which participates in real-time regulation and control in the optimization of the c-th round,
Figure FDA0002771279930000115
the upper limit and the lower limit, P, of the active control instruction of the energy storage power station of the network regulating and controlling pipe participating in real-time regulation and control in the optimization of the c-th rounda.w.t0.i、Pae.w.t0.iT of water/thermal power station and energy storage power station participating in real-time regulation and control of network regulation and control pipe0Active power output at all times, Pb.w.t0.iT of water/thermal power station without participating in real-time regulation and control of network regulation and control pipe0Active power output at all times, Pb.w.tc.iT of water/thermal power station without participating in real-time regulation and control of network regulation and control pipecPlanned value of active output at time, Sa.w.j.i、Sae.w.j.i、Sb.w.j.iIs the active sensitivity, P ', of the ith station to section j'a.w.tc.i.d、P′b.w.tc.i.dAnd the lower limit of the network regulating pipe is reserved for the water/thermal power station which participates in real-time regulation and the water/thermal power station which does not participate in real-time regulation.
9. Regional electric wire netting new forms of energy electricity generation consumption optimization system, its characterized in that includes:
an information aggregation module to perform: collecting operation information of a regional power grid and a provincial power grid;
a limited discrimination module to perform: judging the limited states of all new energy power stations in the regional power grid, entering a peak regulation judging module if the power generation of the new energy power stations is limited, and ending execution if the power generation of the new energy power stations is not limited;
a peak shaver discrimination module for executing: analyzing the limited range, reasons and levels of a new energy power station in a region, if only the local section in a province is limited, entering a local section solving module in the province, if only 1 province-level power grid is limited in peak shaving, entering a province-level power grid solving module, and if the number of the province-level power grids limited in peak shaving exceeds 1, entering a regional power grid solving module for limiting the peak shaving for the region level;
an intra-provincial local fracture surface solving module for executing: grading the control objects participating in the provincial power grid local section new energy maximum consumption according to economic and environmental protection factors, correcting a new energy maximum consumption model of the provincial local section by adopting the economic and environmental protection factors of the control objects and an adjusting space step by step and solving the model, finishing execution if the power generation limitation of the new energy is eliminated, and otherwise entering a regional power grid solving module;
a provincial power grid solving module for performing: grading the control objects participating in the provincial power grid new energy maximum consumption according to economic and environmental protection factors, correcting a new energy maximum consumption model of the provincial power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step and solving the model, finishing execution if the generation limitation of the new energy is eliminated, and entering a regional power grid solving module if the generation limitation of the new energy is not eliminated;
a regional power grid solving module for performing: and grading the control objects participating in the maximum consumption of the new energy of the regional power grid according to the economic and environmental protection factors, correcting the maximum consumption model of the new energy of the regional power grid by adopting the economic and environmental protection factors and the adjustment space of the control objects step by step, and solving the model.
10. Apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 8 when executing the program.
11. Medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
CN202011249962.2A 2020-11-10 2020-11-10 Regional power grid new energy power generation absorption decision method, system, equipment and medium Active CN112949892B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011249962.2A CN112949892B (en) 2020-11-10 2020-11-10 Regional power grid new energy power generation absorption decision method, system, equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011249962.2A CN112949892B (en) 2020-11-10 2020-11-10 Regional power grid new energy power generation absorption decision method, system, equipment and medium

Publications (2)

Publication Number Publication Date
CN112949892A true CN112949892A (en) 2021-06-11
CN112949892B CN112949892B (en) 2022-08-19

Family

ID=76234666

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011249962.2A Active CN112949892B (en) 2020-11-10 2020-11-10 Regional power grid new energy power generation absorption decision method, system, equipment and medium

Country Status (1)

Country Link
CN (1) CN112949892B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107276127A (en) * 2017-08-18 2017-10-20 西安交通大学 Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan
CN111064231A (en) * 2019-12-27 2020-04-24 中国电力科学研究院有限公司 New energy graded interactive consumption method and system
CN111900729A (en) * 2020-07-15 2020-11-06 国电南瑞科技股份有限公司 Method and device for optimizing and adjusting source-grid-load interaction daily plan of regional power grid

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107276127A (en) * 2017-08-18 2017-10-20 西安交通大学 Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan
CN111064231A (en) * 2019-12-27 2020-04-24 中国电力科学研究院有限公司 New energy graded interactive consumption method and system
CN111900729A (en) * 2020-07-15 2020-11-06 国电南瑞科技股份有限公司 Method and device for optimizing and adjusting source-grid-load interaction daily plan of regional power grid

Also Published As

Publication number Publication date
CN112949892B (en) 2022-08-19

Similar Documents

Publication Publication Date Title
CN107276127B (en) Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan
CN109447510B (en) SCUC-based medium and long term electric quantity safety checking method, device and system
CN102074954B (en) Comprehensive energy-conservation evaluation and decision-making method for urban and rural distribution network
CN106505635B (en) Active scheduling model and scheduling system with minimum wind abandon
CN110490363B (en) Multi-day unit combination optimization method and system
CN108122068A (en) A kind of power distribution network risk-averse retailer method and system
CN112491043B (en) New energy enrichment power grid power supply planning method and system
CN113364055B (en) Source network load storage networking coordination frequency control method
CN110175727A (en) A kind of major-minor coordination optimizing method of peak load regulation network assisted hatching
CN110854891B (en) Power distribution network pre-disaster resource allocation method and system
CN116111597A (en) Method, system, memory and equipment for constructing tidal current section scene set of medium-long term scheduling plan
CN112564032B (en) Adjusting method for setting line of low-frequency load shedding protection device of city power grid
CN105226649B (en) One kind predicting improved provincial power network power generation dispatching optimization method based on bus load
CN117254464B (en) Control method and system of energy storage system
CN105244874B (en) A kind of meter and failure risk and the power distribution network Optimal reactive power model of cost
CN111340257B (en) Optimization method and system for maintenance plan of power transmission equipment based on risk analysis
CN110705739B (en) New energy power station power generation plan making method and system
CN105976046B (en) Low-carbon power grid planning method considering demand side management
CN112949892B (en) Regional power grid new energy power generation absorption decision method, system, equipment and medium
CN111008769B (en) Energy transformation optimization method and system considering power blockage
CN110648079A (en) Distribution network transformer substation planning method considering main transformer adjustment utilization and safety efficiency cost
CN115392785A (en) Power distribution network congestion scheduling method considering congestion resistance
CN112381387A (en) Scheduling plan deviation elimination distribution method for promoting renewable energy consumption
CN113809763A (en) Multi-index-considered power distribution network energy storage system planning configuration method and system
CN109871983B (en) Electric power energy management 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