CN106294954A - Electric power graphs editing system based on unit safety constrained dispatch planning model - Google Patents
Electric power graphs editing system based on unit safety constrained dispatch planning model Download PDFInfo
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- CN106294954A CN106294954A CN201610624198.XA CN201610624198A CN106294954A CN 106294954 A CN106294954 A CN 106294954A CN 201610624198 A CN201610624198 A CN 201610624198A CN 106294954 A CN106294954 A CN 106294954A
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Abstract
A kind of electric power graphs editing system based on unit safety constrained dispatch planning model, including: element storing unit, editing interface unit, parameter setting unit, processing unit and mobile terminal.In described element storing unit, storage represents the internal each assembly graphic element of electrical network, setting and the design parameter value of record component graphic element in parameter setting unit, described editing interface is transferred the design parameter of the corresponding assembly graphic element in the data message of the assembly graphic element in element storing unit and parameter setting unit simultaneously and is finally completed the making of electric power mixing system.The present invention is effectively increased the fairness of each unit electricity schedule by disclosed system, it is thus achieved that takes into account consideration economy and the generation schedule scheme of fairness, is effectively improved electric power resource and distributes rationally.
Description
Technical field
The invention belongs to dispatching automation of electric power systems technical field, relate to a kind of based on unit safety constrained dispatch plan
The electric power graphs editing system of model.
Background technology
Along with Urbanization in China is constantly accelerated, the regional hub city area of hot zones is constantly increasing, and leads
Electricity of applying increases sharply, old network system, effectively allocates model owing to lacking, thus causes generating mixing system to expire
The most growing generated energy demand of foot, new dilatation area, the present city of excrescence needs subregion to ration the power supply to solve electric power allotment and need
Ask, and these local produce often, logistics type enterprise, ration the power supply and can cause bigger economic loss.
And electrical network upgrading needs to put into great amount of cost, the especially design during electrical network upgrading and checking
In the stage, owing to existing program means is single, causing checking amendment long in time limit, cost is high.Additionally for exerting oneself of each unit
Unified the collecting of situation and generated output situation, causes the duty to unit not have good to grasp control.
Summary of the invention
The problem existed according to prior art, the invention discloses a kind of based on unit safety constrained dispatch planning model
Electric power graphs editing system includes:
Storage represents the element storing unit of the internal each assembly graphic element of electrical network, sets and record component graphic element tool
The parameter setting unit of body parameter value and editing interface unit and processing unit;
By transferring the assembly graphic element in element storing unit, combine in described editing interface unit, by ginseng
Number setup unit sets the design parameter of each assembly graphic element, is finally completed the making of electric power mixing system;
Described processing unit transfers the assembly graphic element of design parameter, determines operation plan space;Build to include sending out
The operation plan model of the minimum target of totle drilling cost of group of motors operating cost and start-up and shut-down costs, uses Gini coefficient G to characterize each
The electric quantity balancing situation of power plant, and as constraints, join in the operation plan model built;
Start and stop state and the unit output of unit is obtained, it is judged that whether optimum results meets safety about by Optimization Solution
Restraint, and each period within dispatching cycle carries out Security Checking, finally gives the generation schedule of generating set;
This system also includes and the mobile terminal of processing unit real-time data communication, and described mobile terminal real-time reception processes
The parameter value of each unit that unit transmits concrete generation schedule under meeting security constraint and its generating cost value.
Described operation plan model is:
Constraints:
PI, minuI, t≤pI, t≤PI, maxuI, t
pi,t+1-pi,t≤RU,iui,t+Pi,max(1-ui,t)
pi,t-pi,t+1≤RD,iui,t+1+Pi,max(1-ui,t+1)
Wherein: N is the unit number participating in scheduling in system, the time hop count that T is comprised by system dispatching cycle, ai、bi、ci
Coefficient for corresponding unit coal consumption cost function;pi,tExert oneself at the meritorious of t for unit i;sI, tFor unit i in t
Switching cost;ui,tFor unit i in the start and stop state of t;Pi,max、PI, minMinimax for unit i is exerted oneself;For system
Load in t;RU,i、RD,iIt is respectively climbing rate and the landslide rate of unit i;Ti on、Ti offIt is respectively the permission of unit i
Little continuous available machine time and minimum continuous downtime; P i,j Represent the trend bound of branch road ij respectively;Si,j,tFor joint
The sensitivity to branch road ij of the injecting power of some i;Pi,tIt it is the clean injecting power of the i-th node.
The calculating of Gini coefficient G uses following algorithm, and computing formula is as follows:
G≤G0
Wherein: XiFor characterizing the middle parameter of unit electric quantity balancing, G is the Gini coefficient embodying electric quantity balancing;G0For often
Number, the fairness degree of embodiment electric quantity balancing, take 0.1-0.4.
Accompanying drawing explanation
The structural representation of electric power graphs editing system in Fig. 1 present invention;
Fig. 2 is the schematic diagram of the data message stored in element storing unit in the present invention.
Detailed description of the invention
Below in conjunction with specific embodiment, the present invention is described in detail.The present embodiment is premised on technical solution of the present invention
Implement, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following
Embodiment.
As depicted in figs. 1 and 2: a kind of electric power graphsization based on unit safety constrained dispatch planning model editor is
System, including: element storing unit, editing interface unit, parameter setting unit, processing unit and mobile terminal.
In described element storing unit, storage represents the internal each assembly graphic element of electrical network, sets in parameter setting unit
And the design parameter value of record component graphic element, described editing interface transfers the assembly figure in element storing unit simultaneously
The design parameter of the corresponding assembly graphic element in the data message of element and parameter setting unit is finally completed electric power allotment
The making of system.Described processing unit transfers the assembly graphic element of design parameter, determines operation plan space;Build to include sending out
The operation plan model of the minimum target of totle drilling cost of group of motors operating cost and start-up and shut-down costs, uses Gini coefficient G to characterize each
The electric quantity balancing situation of power plant, and as constraints, join in the operation plan model built;Asked by optimization
Solve start and stop state and the unit output obtaining unit, it is judged that whether optimum results meets security constraint, and within dispatching cycle
Each period carries out Security Checking, finally gives the generation schedule of generating set.This system also includes counting in real time with processing unit
According to the mobile terminal of communication, each unit that described mobile terminal real-time reception processing unit transmits is under meeting security constraint
The parameter value of concrete generation schedule and its generating cost value.The instantaneous operating conditions of the most each unit is shown in mobile whole
In end, unit work is monitored, then by scientific research personnel by transferring the working condition under unit generation state and performance number
Add up this data value thus contribute to optimizing the operating cost of unit and operation plan model that start-up and shut-down costs is object function.
Described processing unit, according to electrical network actual demand, builds with the totle drilling cost including unit operation cost and start-up and shut-down costs
The operation plan model of minimum target, constraints include respectively unit output bound constraint, system active balance constraint,
Spinning reserve constraint, the constraint of unit climbing rate, minimax start-off time constraints and power system security constraints.
Described operation plan model is:
Constraints:
PI, minuI, t≤pI, t≤PI, maxuI, t
pi,t+1-pi,t≤RU,iui,t+Pi,max(1-ui,t)
pi,t-pi,t+1≤RD,iui,t+1+Pi,max(1-ui,t+1)
Wherein: N is the unit number participating in scheduling in system, the time hop count that T is comprised by system dispatching cycle, ai、bi、ci
Coefficient for corresponding unit coal consumption cost function;pi,tExert oneself at the meritorious of t for unit i;sI, tFor unit i in t
Switching cost;ui,tFor unit i in the start and stop state of t;Pi,max、PI, minMinimax for unit i is exerted oneself;For system
Load in t;RU,i、RD,iIt is respectively climbing rate and the landslide rate of unit i;Ti on、Ti offIt is respectively the permission of unit i
Little continuous available machine time and minimum continuous downtime; P i,j Represent the trend bound of branch road ij respectively;Si,j,tFor joint
The sensitivity to branch road ij of the injecting power of some i;Pi,tIt it is the clean injecting power of the i-th node.
The calculating of Gini coefficient G uses following algorithm, and computing formula is as follows:
G≤G0
Wherein: XiFor characterizing the middle parameter of unit electric quantity balancing, G is the Gini coefficient embodying electric quantity balancing;G0For often
Number, the fairness degree of embodiment electric quantity balancing, take 0.1-0.4.G in the present embodiment0Take 0.2.
A kind of electric power graphs editing system based on unit safety constrained dispatch planning model disclosed by the invention, passes through
Element storing unit, editing interface unit, the effect of working in coordination between parameter setting unit and processing unit, and will be to machine
Group operating state data real-time storage, in mobile terminal, facilitates the data statistics to each unit and optimization.Effectively carry
The high fairness of each unit electricity schedule, it is thus achieved that take into account consideration economy and the generation schedule scheme of fairness, effectively
Ground improves electric power resource and distributes rationally.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention is not limited thereto,
Any those familiar with the art in the technical scope that the invention discloses, according to technical scheme and
Inventive concept equivalent or change in addition, all should contain within protection scope of the present invention.
Claims (3)
1. an electric power graphs editing system based on unit safety constrained dispatch planning model, it is characterised in that including:
Storage represents that the element storing unit of the internal each assembly graphic element of electrical network, setting record component graphic element are specifically joined
The parameter setting unit of numerical value and editing interface unit and processing unit;
By transferring the assembly graphic element in element storing unit, combine in described editing interface unit, set by parameter
Cell sets the design parameter of each assembly graphic element, is finally completed the making of electric power mixing system;
Described processing unit transfers the assembly graphic element of design parameter, determines operation plan space;Build to include electromotor
The operation plan model of the minimum target of totle drilling cost of group operating cost and start-up and shut-down costs, uses Gini coefficient G to characterize each power plant
Electric quantity balancing situation, and as constraints, join in the operation plan model built;
Start and stop state and the unit output of unit is obtained, it is judged that whether optimum results meets security constraint by Optimization Solution, and
Each period within dispatching cycle carries out Security Checking, finally gives the generation schedule of generating set;
This system also includes and the mobile terminal of processing unit real-time data communication, described mobile terminal real-time reception processing unit
The parameter value of each unit transmitted concrete generation schedule under meeting security constraint and its generating cost value.
Electric power graphs editing system based on unit safety constrained dispatch planning model the most according to claim 1, its
It is further characterized in that described operation plan model is:
Constraints:
PI, minuI, t≤pI, t≤PI, maxuI, t
pi,t+1-pi,t≤RU,iui,t+Pi,max(1-ui,t)
pi,t-pi,t+1≤RD,iui,t+1+Pi,max(1-ui,t+1)
Wherein: N is the unit number participating in scheduling in system, the time hop count that T is comprised by system dispatching cycle, ai、bi、ciFor phase
Answer the coefficient of unit coal consumption cost function;pi,tExert oneself at the meritorious of t for unit i;si,tFor unit i in the start and stop of t
Expense;ui,tFor unit i in the start and stop state of t;Pi,max、PI, minMinimax for unit i is exerted oneself;For system at t
The load in moment;RU,i、RD,iIt is respectively climbing rate and the landslide rate of unit i;It is respectively the permission minimum of unit i even
Continuous available machine time and minimum continuous downtime; P i,j Represent the trend bound of branch road ij respectively;Si,j,tFor node i
The injecting power sensitivity to branch road ij;Pi,tIt it is the clean injecting power of the i-th node.
Electric power graphs editing system based on unit safety constrained dispatch planning model the most according to claim 1, its
Being further characterized in that the calculating of Gini coefficient G uses following algorithm, computing formula is as follows:
G≤G0
Wherein: XiFor characterizing the middle parameter of unit electric quantity balancing, G is the Gini coefficient embodying electric quantity balancing;G0For constant, body
The fairness degree of existing electric quantity balancing, takes 0.1-0.4.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107392432A (en) * | 2017-06-27 | 2017-11-24 | 东南大学 | The frequency modulation electric reserve market implementation method of long-term electricity contract energy decomposition in consideration |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102156815A (en) * | 2011-04-07 | 2011-08-17 | 国电南瑞科技股份有限公司 | Method for optimizing power generation plan in mode of tracing scheduling of annual electric quantity progress |
CN104299072A (en) * | 2014-09-28 | 2015-01-21 | 国家电网公司 | Security constraint generation schedule planning method based on water and fire coordination |
CN105701271A (en) * | 2015-12-29 | 2016-06-22 | 中国电力科学研究院 | Creating and deleting method for device in electric power system graph/model hybrid simulation modeling |
-
2016
- 2016-08-02 CN CN201610624198.XA patent/CN106294954A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102156815A (en) * | 2011-04-07 | 2011-08-17 | 国电南瑞科技股份有限公司 | Method for optimizing power generation plan in mode of tracing scheduling of annual electric quantity progress |
CN104299072A (en) * | 2014-09-28 | 2015-01-21 | 国家电网公司 | Security constraint generation schedule planning method based on water and fire coordination |
CN105701271A (en) * | 2015-12-29 | 2016-06-22 | 中国电力科学研究院 | Creating and deleting method for device in electric power system graph/model hybrid simulation modeling |
Non-Patent Citations (2)
Title |
---|
戴俊良 等: "基于基尼系数的电力调度公平性指标探讨", 《电力***自动化》 * |
陈长升: "风电的***成本分析及分段价值发现研究", 《万方》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107392432A (en) * | 2017-06-27 | 2017-11-24 | 东南大学 | The frequency modulation electric reserve market implementation method of long-term electricity contract energy decomposition in consideration |
CN107392432B (en) * | 2017-06-27 | 2020-10-09 | 东南大学 | Frequency modulation standby market realization method considering medium and long term electric quantity contract decomposition |
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