CN107276127B - Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan - Google Patents
Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan Download PDFInfo
- Publication number
- CN107276127B CN107276127B CN201710714213.4A CN201710714213A CN107276127B CN 107276127 B CN107276127 B CN 107276127B CN 201710714213 A CN201710714213 A CN 201710714213A CN 107276127 B CN107276127 B CN 107276127B
- Authority
- CN
- China
- Prior art keywords
- power
- electricity
- generating unit
- wind
- abandonment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 112
- 230000029087 digestion Effects 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000005457 optimization Methods 0.000 title claims abstract description 22
- 238000010977 unit operation Methods 0.000 claims description 10
- 238000005516 engineering process Methods 0.000 claims description 9
- 230000009194 climbing Effects 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 claims 2
- 230000008450 motivation Effects 0.000 claims 1
- 230000018109 developmental process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000004804 winding Methods 0.000 description 2
- 239000002028 Biomass Substances 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910002056 binary alloy Inorganic materials 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000005619 thermoelectricity Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- H02J3/386—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of wind electricity digestion optimization methods of multi-area Interconnected Power System for considering the plan of interconnection electricity transaction: determining time cycle and the step-length of Study on Problems, collects the calculating data of each province；Unit with identical operating parameter is classified as same type by the data of statistical system fired power generating unit, counts the quantity of each type unit；Establish the Optimized models for saving the optimization of interconnected electric power system wind electricity digestion more；The Optimized model is solved using solver CPLEX, obtains optimal solution, calculates each province's wind electricity digestion electricity and abandonment electricity.Present invention greatly reduces the numbers of variable, improve problem solving speed significantly；It introduces abandonment and is segmented penalty factor, by the way that the value of each section of penalty factor is arranged, can control the sequence of abandonment generation；In view of the electricity transaction plan of interconnection, by optimizing dominant eigenvalues, most optimum distribution of resources is mostly being realized inside the province, is realizing that the whole network wind-powered electricity generation preferentially dissolves.
Description
Technical field
The invention belongs to electric system new energy to dissolve field, and in particular to a kind of to consider interconnection electricity transaction plan
The wind electricity digestion optimization method of multizone (for example, province) interconnected electric power system.
Background technique
In recent years, wind generating technology development is swift and violent, and installed capacity goes up year by year.But since China takes on a large scale
Even there is serious wind-abandoning phenomenon in centralized development model, wind electricity digestion outstanding problem, multiple areas.In order to promote wind-powered electricity generation
The grid-connected consumption of equal new energy, realizes energy sustainable development, and China has successively put into effect relevant policies, it is ensured that the new energy such as wind-powered electricity generation
Priority scheduling.National Energy Board explicitly points out in " about the orderly implementation guideline for decontroling the plan of hair electricity ": ensuring to supply
Under the premise of electric safety, the clean energy resourcies power generation online such as preferential wind energy, solar energy, biomass energy ensured in water power and planning,
Promote the multiple full hair of clean energy resource.In addition, transprovincially coordinating wind electricity digestion in larger scope transregional, join between being saved by optimization
The exchange power of winding thread makes full use of the complementary characteristic of different regions load and generation assets, improves disappearing for the new energy such as wind-powered electricity generation
Receive level.
The consumption level analyzed and optimize more provinces and regions wind-powered electricity generations is of great significance for the planning operation of wind-powered electricity generation, can for across
Wind-powered electricity generation transaction in provinces and regions provides the consumption scheme with practice significance and transaction prediction scheme.Currently, wind electricity digestion Optimized model is usually
Based on Unit Combination model, start-stop time and power output by Optimum unit are wind under conditions of meeting peak regulation constraint
Electricity reserves consumption space.But description Unit Commitment state is related to integer variable, and actual provincial power network often relates to
Hundreds and thousands of generating sets, this makes the wind electricity digestion Optimized model for more saving interconnected electric power system large-scale mixed as one
Close integer problem, it is difficult to obtain optimal solution in a short time.In addition, the priority scheduling in order to promote wind-powered electricity generation, in existing model
The additional abandonment penalty term generally in objective function, and penalty factor is set, which is generally fixed value.At this moment, model without
Method distinguishes the place that abandonment occurs, and may result in the same place and undertakes abandonment repeatedly, this does not meet fair principle.This
Outside, traditional tie line plan is usually the simple superposition of electricity transaction contract, relatively independent with generation schedule inside the province, without abundant
Play the effect of resource global configuration.
Summary of the invention
The purpose of the present invention is to provide a kind of multi-area Interconnected Power Systems for considering the plan of interconnection electricity transaction
Wind electricity digestion optimization method.
To achieve the above object, the invention adopts the following technical scheme:
1) time cycle and the step-length of Study on Problems, the calculating data in each region of collection system, comprising: fired power generating unit are determined
Operating parameter and number, the forecasting sequence of corresponding time cycle internal loading and wind-powered electricity generation forecasting sequence；
2) fired power generating unit with identical operating parameter is classified as same type by the data of statistical system fired power generating unit, system
The quantity of each type unit in meter systems；Thermal power unit operation parameter of the present invention includes rated capacity, maximum technology
Power output, minimum technology power output, minimum available machine time, minimum downtime and climbing rate；
3) multi-area Interconnected Power System wind electricity digestion Optimized model is established, the objective function of the model is to minimize complete cycle
Abandonment electricity in phase, the constraint condition of the model include: the constraint of all kinds of thermal power unit operations, each regional power grid wind power output about
Beam, each regional power grid power-balance constraint, each regional power grid Reserve Constraint and the constraint of interregional interconnection electricity transaction；
4) Optimized model is solved using solver CPLEX, obtains optimal solution, each regional power grid wind electricity digestion of computing system
Electricity and abandonment electricity.
The multi-area Interconnected Power System wind electricity digestion Optimized model belongs to Mixed integer linear programming (Mix
Integer Linear Programming, MILP), it can be solved within the relatively short time, meet practical engineering calculation
Requirement.
Abandonment is introduced in the objective function is segmented penalty factor, corresponding objective function are as follows:
In formula: T (t) indicates time cycle (index), and A (a) indicates regional power grid number (index), and S (s) indicates abandonment amount
Segments (index),Indicate the abandonment penalty factor of s sections of regional power grid a,Indicate the abandoning of s sections of regional power grid a
Wind power.Solving result includes each section of abandonment powerDay part thermal power unit operation number of units Sg(t), day part thermoelectricity
Unit output power Pg(t).The whole network abandonment electricity and wind electricity digestion electricity are calculated as shown in formula (12).
In formula: WS is the whole network (system) abandonment electricity, and WC is the whole network (system) wind electricity digestion electricity.
All kinds of thermal power unit operations constrain
5.1) unit operation number of units constraint:
In formula: Sg(t) it is integer variable, indicates t-th of period, g-th of type fired power generating unit booting platform in the time cycle
Number；NgIndicate total number of units of g-th of type fired power generating unit；SYg(t) t-th of start time period, g-th of type thermal motor is indicated
Group starting number of units；SZg(t) indicate that t-th of start time period, g-th of type fired power generating unit shuts down number of units；YgIt (t) is binary system
Variable, 1 expression t-th of start time period, g-th of type fired power generating unit have starting unit, and 0 indicates without starting unit；Zg
It (t) is binary variable, 1 expression t-th of start time period, g-th of type fired power generating unit has shutdown unit, and 0 indicates not stop
Machine unit.Start and stop situation (the Y of fired power generating unit in provable systemg(t) and Zg(t) value and combination) meet constraint, such as table
Shown in 1:
1. Unit Commitment number of units situation of change of table
5.2) unit output power constrains:
In formula: Pg(t) gross output of t-th of period, g-th of type fired power generating unit is indicated；Pg minIt is g-th of type fire
The minimum technology of motor group is contributed；Pg maxIt is the maximum technology power output of g-th of type fired power generating unit.
5.3) unit ramp loss:
-RDg·Sg(t)≤Pg(t)-Pg(t-1)≤RUg·Sg(t) (15)
In formula: RDgIt is the lower climbing rate of g-th of type fired power generating unit；RUgIt is the upper climbing of g-th of type fired power generating unit
Rate.
5.4) minimum open downtime constraint:
In formula: MUgIt is that the minimum of g-th of type fired power generating unit opens the machine time；MDgIt is the minimum of g-th of type fired power generating unit
Downtime.
The wind power output constrains
6.1) abandonment power constraint:
In formula:Indicate t-th of period regional power grid a wind power prediction value.
6.2) abandonment power segmentation constraint:
In formula:Indicate the maximum value of s sections of abandonment power of t-th of period regional power grid a.
The interregional interconnection electricity transaction constrains
7.1) transaction Constraint indicates are as follows:
In formula:It is the Tie line Power of t-th period regional power grid a, b；Td is that interconnection trades electricity about
Beam period, generally 1 day；Indicate interconnection transaction electricity；
7.2) transaction rate of power change constraint, indicates are as follows:
In formula:It is the limitation of regional power grid a, b dominant eigenvalues fall off rate；It is regional power grid a, b interconnection
Power rise rate limit；
7.3) dominant eigenvalues curve peak- valley load constraint, it indicates are as follows:
In formula: D indicates the duration in Constraint period, and when material calculation is 1h, and the Constraint period is 1 day, D is taken
24；α indicates that permission peak-valley ratio, 2 α are the ratio that the peak-valley difference allowed accounts for mean power.
The invention has the following beneficial effects:
1, the unit merger with identical parameters is same class unit by the present invention, so as to use corresponding variable
(such as Sg(t)、SYg(t)、SZg(t)、Yg(t)、Zg(t) and Pg(t)) operational process of similar unit is described, this is greatly reduced
The number of variable, improves problem solving speed significantly.The present invention considers the electricity transaction plan of interconnection, proposes
Interconnection electricity transaction constrains between province, and by optimizing dominant eigenvalues, most optimum distribution of resources is realized in multizone (province), can be real
Existing the whole network wind-powered electricity generation preferentially dissolves.
2, in order to ensure the preferential consumption of wind-powered electricity generation, the present invention introduces abandoning to minimize wind-powered electricity generation abandonment amount as objective function
Wind is segmented penalty factor, by the way that the value of each section of penalty factor is arranged, can control the sequence of abandonment generation.
Detailed description of the invention
Fig. 1 is the wind electricity digestion that more province's interconnected electric power systems of interconnection electricity transaction plan are considered in the embodiment of the present invention
The flow chart of optimization method.
Fig. 2 is two province's interconnected electric power system schematic diagrames；G indicates fired power generating unit.
Fig. 3 is that two province's abandonment power are segmented penalty factor variation diagram.
Fig. 4 Tie line Power curve (a) and wind electricity digestion power curve (b) between two provinces.
Specific embodiment
It elaborates with reference to the accompanying drawings and examples to the present invention.Obviously, described is only of the invention one
A preferably embodiment.
On the basis of existing research, the present invention proposes a kind of more province's interconnecting electric powers for considering the plan of interconnection electricity transaction
The wind electricity digestion optimization method of system.Firstly, being different from existing Unit Combination model, 3 are related generally to each unit
Integer variable or binary variable, the present invention consider China's power industry standardisation requirements, and most of fired power generating units have phase
Same operating parameter, thus can be same class unit to the unit merger with identical parameters, and use corresponding variable description
The operational process of similar unit, this dramatically reduces the numbers of variable, improve problem solving speed significantly.Secondly, being
Ensure the preferential consumption of wind-powered electricity generation, the present invention to minimize wind-powered electricity generation abandonment amount as objective function, and introduce abandonment segmentation punishment because
Son can control the sequence of abandonment generation by the way that the value of each section of penalty factor is arranged.Finally, the present invention is in view of interconnection
Electricity transaction plan, interconnection electricity transaction constrains between proposing province, by optimizing dominant eigenvalues, is mostly realizing resource inside the province
It distributes rationally, realizes that the whole network wind-powered electricity generation preferentially dissolves.
Above-mentioned wind electricity digestion optimization method includes the following steps (Fig. 1):
1) time cycle and the step-length for determining Study on Problems collect the calculating data of each province, comprising: the operation of fired power generating unit
The forecasting sequence of parameter and number, the forecasting sequence of corresponding time cycle internal loading and wind-powered electricity generation.
2) unit with identical operating parameter is classified as same type by the data of statistical system fired power generating unit, and statistics is each
The quantity of a type unit；
3) more province's interconnected electric power system wind electricity digestion Optimized models are established, the objective function of the model is to minimize the complete period
Interior abandonment electricity, the constraint condition of the model include: that all kinds of thermal power unit operations constrain, each provincial power grid wind is contributed about
Interconnection electricity transaction constrains between beam, each provincial grid power Constraints of Equilibrium, each provincial power network Reserve Constraint and province；
4) Optimized model is solved using solver CPLEX, obtains optimal solution, calculate each province's wind electricity digestion electricity and abandonment
Electricity.
Specifically, the search time range of the problem of determination is 1 week (168 hours), step-length is 1 hour.It is studied
Interconnected electric power system is connected with province's two provincial power networks of II (i.e. two regional power grids) by interconnection as shown in Fig. 2, saving I, structure
At interconnected electric power system two regions (the method for the invention can be expanded more to save, as long as mutually connection, implement
It is rather than to be only limitted to two regions in order to illustrate use of the invention so that two provincial power networks form interacted system as an example in example
Power grid).Two province's fired power generating unit data are as shown in table 2.
The all types of generating set data of table 2.
Specifically, more province's interconnected electric power system wind electricity digestion Optimized models are described as follows:
1) it objective function: introduces abandonment and is segmented penalty factor, minimize abandonment amount in the complete period, i.e.,
2) constraint condition:
All kinds of thermal power unit operation constraints
Each provincial power grid wind units limits
Each provincial grid power Constraints of Equilibrium
In formula: Da(t) workload demand of t-th of period regional power grid a (save I power grid or save II power grid) is indicated；GaIndicate area
The fired power generating unit type that domain power grid a includes；NaIndicate other regional power grids being connected with regional power grid a.
Each provincial power network Reserve Constraint
In formula: RPaIndicate the positive spare capacity of regional power grid a；RNaIndicate the negative spare capacity of regional power grid a.
Interconnection electricity transaction constrains between province
Unit merger with identical parameters is same class unit by the present invention, and uses corresponding variable description uniform machines
The operational process of group, this dramatically reduces the numbers of variable, improve problem solving speed significantly.
In order to ensure the preferential consumption of wind-powered electricity generation, the present invention introduces abandonment to minimize wind-powered electricity generation abandonment amount as objective function
It is segmented penalty factor, by the way that the value of each section of penalty factor is arranged, can control the sequence of abandonment generation.Specifically, referring to Fig. 3,
Two each section of province's wind power plant wind-powered electricity generation penalty factors are successively by ascending order arrangement: saving I paragraph 1, save II paragraph 1, save the 2nd section of I, save II
2nd section ... thus, when abandonment occurs, according to the needs of objective function, abandonment can first be carried out by saving I, whole when saving I paragraph 1
After abandonment, abandonment is carried out to II is saved, after saving the whole abandonment of II paragraph 1, to province's the 2nd section of progress abandonment ... of I successively class
It pushes away, abandonment penalty factor is smaller, and abandonment sequence is more forward.Each section of penalty factor value setting of two provinces is as shown in table 3.
Table 3. is segmented abandonment power penalty factor
| Abandonment power section | 0~50MW | 50~100MW | 100~150MW | 150~200MW | 200MW or more |
| Save I | 1 | 2 | 3 | 4 | 5 |
| Save II | 1.5 | 2.5 | 3.5 | 4.5 | 5.5 |
In order to illustrate optimization method of the present invention (dominant eigenvalues optimization method) to raising the whole network wind electricity digestion energy
The effect of power arranges fired power generating unit power output and Tie line Power using two schemes.
Scheme one: do not optimize dominant eigenvalues.In order to guarantee that every Day Trading electricity is constant, Tie line Power is remained
Daily mean power.
Scheme two: optimization interconnection.Dominant eigenvalues are optimized variable, and meet interconnection electric power of the present invention
Transaction constraint.
The change curve of two scheme Tie line Powers and wind electricity digestion power is as shown in Figure 4.The whole network in one week
Wind electricity digestion situation is as shown in table 4, and for scheme two compared with scheme one, abandonment power reduces 14.4%.As it can be seen that passing through optimization connection
Winding thread power can substantially reduce the generation of wind-abandoning phenomenon, improve wind-powered electricity generation using horizontal and power grid wind electricity digestion level, for electricity
Net economical operation and the effective use of renewable energy all have positive effect.
The whole network wind electricity digestion situation in table 4. 1 weeks
| Dissolve electricity | Abandonment electricity | |
| Scheme one | 617341MWh | 23857MWh |
| Scheme two | 620774MWh | 20425MWh |
The present invention considers the electricity transaction plan of interconnection, and interconnection electricity transaction constrains between proposing province, specifically,
Interconnection exchange meets dominant eigenvalues curve peak- valley load constraint, the constraint of transaction rate of power change and transaction Constraint.It is logical
Optimization dominant eigenvalues are crossed, are mostly realizing most optimum distribution of resources inside the province, realize that the whole network wind-powered electricity generation preferentially dissolves.
Claims (6)
1. a kind of wind electricity digestion optimization method for the multi-area Interconnected Power System for considering the plan of interconnection electricity transaction, feature
It is: the following steps are included:
1) fired power generating unit with identical operating parameter is classified as same type by the data of statistical system fired power generating unit, and statistics is each
The quantity of a type fired power generating unit；
2) multi-area Interconnected Power System wind electricity digestion Optimized model is established, multi-area Interconnected Power System wind electricity digestion optimization
The objective function of model is the abandonment electricity minimized in the complete period, the multi-area Interconnected Power System wind electricity digestion Optimized model
Constraint condition include: the constraint of all kinds of thermal power unit operations, the constraint of each regional power grid wind power output, each regional power grid power-balance
Constraint, each regional power grid Reserve Constraint and the constraint of interregional interconnection electricity transaction；
The objective function indicates are as follows:
In formula: T indicates the time cycle, and A indicates regional power grid number, and S indicates abandonment amount segments,Indicate regional power grid a the
S sections of abandonment penalty factor,Indicate the abandonment power of t-th of s sections of period regional power grid a；
3) the multi-area Interconnected Power System wind electricity digestion Optimized model is solved, calculates each region according to obtained optimal solution is solved
Wind electricity digestion electricity and abandonment electricity.
2. the wind electricity digestion of the multi-area Interconnected Power System according to claim 1 for considering the plan of interconnection electricity transaction
Optimization method, it is characterised in that: the operating parameter of the fired power generating unit includes rated capacity, maximum technology power output, minimum technology
Power output, minimum available machine time, minimum downtime and climbing rate.
3. the wind electricity digestion of the multi-area Interconnected Power System according to claim 1 for considering the plan of interconnection electricity transaction
Optimization method, it is characterised in that: the multi-area Interconnected Power System wind electricity digestion Optimized model belongs to MIXED INTEGER linear gauge
The problem of drawing.
4. the wind electricity digestion of the multi-area Interconnected Power System according to claim 1 for considering the plan of interconnection electricity transaction
Optimization method, it is characterised in that: all kinds of thermal power unit operations, which constrain, includes:
5.1) unit operation number of units constraint, indicates are as follows:
In formula: Sg(t) t-th of period, g-th of type fired power generating unit booting number of units is indicated；NgIndicate g-th of type fired power generating unit
Total number of units；SYg(t) indicate that t-th of start time period, g-th of type fired power generating unit starts number of units；SZg(t) when indicating t-th
Section start time, g-th of type fired power generating unit shut down number of units；YgIt (t) is binary variable, when t-th of period of 1 expression being taken to start
Carving g-th of type fired power generating unit has starting unit, and 0 expression, t-th of start time period, g-th of type fired power generating unit is taken not open
Motivation group；Zg(t) it is binary variable, 1 expression, t-th of start time period, g-th of type fired power generating unit is taken to have shutdown unit,
0 expression, t-th of start time period, g-th of type fired power generating unit is taken not shut down unit；
5.2) unit output power constrains, and indicates are as follows:
In formula: Pg(t) gross output of t-th of period, g-th of type fired power generating unit is indicated；Pg minIt is g-th of type thermal motor
The minimum technology power output of group；Pg maxIt is the maximum technology power output of g-th of type fired power generating unit；
5.3) unit ramp loss indicates are as follows:
-RDg·Sg(t)≤Pg(t)-Pg(t-1)≤RUg·Sg(t) (4)
In formula: RDgIt is the lower climbing rate of g-th of type fired power generating unit；RUgIt is the ratio of slope that swashes of g-th of type fired power generating unit；
5.4) minimum Qi downtime constrains, and indicates are as follows:
In formula: MUgIt is that the minimum of g-th of type fired power generating unit opens the machine time；MDgIt is that the minimum of g-th of type fired power generating unit is shut down
Time.
5. the wind electricity digestion of the multi-area Interconnected Power System according to claim 1 for considering the plan of interconnection electricity transaction
Optimization method, it is characterised in that: each regional power grid wind power output, which constrains, includes:
6.1) abandonment power constraint indicates are as follows:
In formula:Indicate t-th of period regional power grid a wind power prediction value；Indicate t-th of period regional power grid
S sections of a of abandonment power；
6.2) abandonment power segmentation constraint, indicates are as follows:
In formula:Indicate the maximum value of s sections of abandonment power of t-th of period regional power grid a.
6. the wind electricity digestion of the multi-area Interconnected Power System according to claim 1 for considering the plan of interconnection electricity transaction
Optimization method, it is characterised in that: the interregional interconnection electricity transaction, which constrains, includes:
7.1) transaction Constraint indicates are as follows:
In formula:It is the Tie line Power of t-th period regional power grid a, b；Td is interconnection transaction Constraint week
Phase；Indicate the interconnection transaction electricity of regional power grid a, b；
7.2) transaction rate of power change constraint, indicates are as follows:
In formula:It is the limitation of regional power grid a, b dominant eigenvalues fall off rate；It is regional power grid a, b dominant eigenvalues
Climbing speed limitation；
7.3) dominant eigenvalues curve peak- valley load constraint indicates are as follows:
In formula: the duration in D expression Constraint period；α indicates to allow peak-valley ratio.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710714213.4A CN107276127B (en) | 2017-08-18 | 2017-08-18 | Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710714213.4A CN107276127B (en) | 2017-08-18 | 2017-08-18 | Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107276127A CN107276127A (en) | 2017-10-20 |
| CN107276127B true CN107276127B (en) | 2019-10-11 |
Family
ID=60079726
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710714213.4A Active CN107276127B (en) | 2017-08-18 | 2017-08-18 | Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107276127B (en) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948872B (en) * | 2017-12-20 | 2024-01-19 | 中国电力科学研究院有限公司 | Real-time scheduling method and system for abandoned wind power transaction |
| CN108258721A (en) * | 2017-12-30 | 2018-07-06 | 国家电网公司华北分部 | Wind electricity digestion capability acquisition methods and system under a kind of unit safety constraint |
| CN108258685B (en) * | 2018-01-26 | 2022-07-22 | 国网辽宁省电力有限公司 | Control method of new energy power system in emergency control domain operation mode |
| CN109245183B (en) * | 2018-05-21 | 2022-04-19 | 国网河南省电力公司安阳供电公司 | Load control-based peak shaving method for power grid in high wind and light permeability area |
| CN108847661B (en) * | 2018-06-11 | 2020-05-19 | 华中科技大学 | Annual production simulation operation method and system for regional power system |
| CN109217380B (en) * | 2018-11-05 | 2021-09-07 | 国家电网有限公司 | Wind-abandoning and electricity-limiting method and device |
| CN109921473B (en) * | 2019-03-21 | 2024-03-19 | 中国电力科学研究院有限公司 | Thermal power generating unit combination optimization method and system based on time sequence production simulation |
| CN110516982B (en) * | 2019-09-20 | 2022-05-31 | 中国电力工程顾问集团西北电力设计院有限公司 | Method for calculating multi-energy complementary capability index of inter-provincial power grid |
| CN111049192B (en) * | 2019-12-11 | 2023-04-11 | 云南电网有限责任公司 | Power generation control method considering renewable energy source bidding on same station |
| CN114172211B (en) * | 2020-09-11 | 2023-10-20 | 国电南瑞科技股份有限公司 | New energy active control method and system |
| CN112949892B (en) * | 2020-11-10 | 2022-08-19 | 国电南瑞科技股份有限公司 | Regional power grid new energy power generation absorption decision method, system, equipment and medium |
| CN113937819B (en) * | 2021-06-30 | 2024-09-03 | 国网甘肃省电力公司电力科学研究院 | Multi-energy short-term optimization scheduling method |
| CN113872252B (en) * | 2021-10-26 | 2024-04-30 | 华北电力科学研究院有限责任公司 | Method and device for optimizing power generation efficiency of multi-energy interactive fire power source side |
| CN114123313B (en) * | 2021-10-28 | 2023-07-25 | 国网湖北省电力有限公司恩施供电公司 | Method for simulating new energy power system digestion by time sequence production |
| CN114204581A (en) * | 2021-12-10 | 2022-03-18 | 刘正学 | New energy consumption optimization system based on multi-region interconnection |
| CN114418198A (en) * | 2021-12-30 | 2022-04-29 | 国网辽宁省电力有限公司电力科学研究院 | Segmented function type calculation method for punishment cost of abandoned new energy |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101873004A (en) * | 2010-06-13 | 2010-10-27 | 国电南瑞科技股份有限公司 | Unified coordination AGC (Automatic Generation Control) control method of interconnected network |
| CN102522781A (en) * | 2011-12-26 | 2012-06-27 | 国电南瑞科技股份有限公司 | Method for participating area control error (ACE) control by uniformly modeling wind power plant and thermal power plant |
| CN104156887A (en) * | 2014-08-14 | 2014-11-19 | 国家电网公司 | Area new energy development scale and layout analysis method based on power grid constraint |
-
2017
- 2017-08-18 CN CN201710714213.4A patent/CN107276127B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101873004A (en) * | 2010-06-13 | 2010-10-27 | 国电南瑞科技股份有限公司 | Unified coordination AGC (Automatic Generation Control) control method of interconnected network |
| CN102522781A (en) * | 2011-12-26 | 2012-06-27 | 国电南瑞科技股份有限公司 | Method for participating area control error (ACE) control by uniformly modeling wind power plant and thermal power plant |
| CN104156887A (en) * | 2014-08-14 | 2014-11-19 | 国家电网公司 | Area new energy development scale and layout analysis method based on power grid constraint |
Non-Patent Citations (1)
| Title |
|---|
| 促进风电消纳的区省两级电力系统调度模型;王秀丽等;《电网技术》;20150731;第39卷(第7期);第1833～1838页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107276127A (en) | 2017-10-20 |
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 | |
| Ming et al. | Robust hydroelectric unit commitment considering integration of large-scale photovoltaic power: A case study in China | |
| CN103699941B (en) | A kind of formulating method of electric power system dispatching operation year scheme | |
| CN111555281B (en) | Method and device for simulating flexible resource allocation of power system | |
| CN106099993B (en) | A kind of power source planning method for adapting to new energy and accessing on a large scale | |
| CN104578176B (en) | Method for making power generation plan in consideration of direct current interaction | |
| CN107292766B (en) | Wind power consumption-oriented power system peak regulation means economical evaluation method and system | |
| CN103942613B (en) | Method for grid and province two-stage real-time generation schedule coordinative optimization under generalized tie line mode | |
| CN106953363B (en) | Power grid spinning reserve Optimal Configuration Method under a kind of wind power plant limit power operating states | |
| CN107844910A (en) | The more power supply joint optimal operation operation methods coordinated based on wind core | |
| CN109347152B (en) | Random production simulation method considering participation of multi-type power supply in peak shaving and application | |
| CN103997039B (en) | Method for predicting rotating standby interval with wind power acceptance considered based on probability interval prediction | |
| CN104537428B (en) | One kind meter and the probabilistic economical operation appraisal procedure of wind power integration | |
| Hou et al. | Data-driven robust day-ahead unit commitment model for hydro/thermal/wind/photovoltaic/nuclear power systems | |
| CN110175727A (en) | A kind of major-minor coordination optimizing method of peak load regulation network assisted hatching | |
| CN104809545B (en) | A kind of virtual plant runs modeling method | |
| CN105305423A (en) | Method for determining optimal error boundary considering intermittent energy uncertainty | |
| CN106786764A (en) | A kind of utilization hydrogen generating system wind-powered electricity generation of dissolving abandons the hydrogen manufacturing capacity configuration optimizing method of wind | |
| CN108667077A (en) | A kind of wind storage association system Optimization Scheduling | |
| CN112491080A (en) | New energy installation layout planning method and system | |
| CN116562432A (en) | Novel power system planning-oriented source network load storage collaborative planning method and system | |
| CN105896590A (en) | Power generation optimization method considering clean energy | |
| Sui et al. | Optimization of Monthly Power Generation Plan for Thermal Power Units Considering Access of Large-scale New Energy | |
| CN110429664B (en) | Day-ahead economic dispatching method for combined cooling, heating and power micro-grid | |
| Fan et al. | Research on Optimal Operation and Capacity Configuration of Energy Storage Based on Pumped Storage Station |
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 |