CN110323787A - A kind of Tie line Power iterative optimization method - Google Patents

A kind of Tie line Power iterative optimization method Download PDF

Info

Publication number
CN110323787A
CN110323787A CN201910584675.8A CN201910584675A CN110323787A CN 110323787 A CN110323787 A CN 110323787A CN 201910584675 A CN201910584675 A CN 201910584675A CN 110323787 A CN110323787 A CN 110323787A
Authority
CN
China
Prior art keywords
power
cost
regional
marginal
scheduling slot
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
CN201910584675.8A
Other languages
Chinese (zh)
Other versions
CN110323787B (en
Inventor
张新松
顾菊平
曹书秀
陆胜男
华亮
朱建红
郭晓丽
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.)
Nantong University
Original Assignee
Nantong University
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 Nantong University filed Critical Nantong University
Priority to CN201910584675.8A priority Critical patent/CN110323787B/en
Publication of CN110323787A publication Critical patent/CN110323787A/en
Application granted granted Critical
Publication of CN110323787B publication Critical patent/CN110323787B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • 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]
    • 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
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

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

Abstract

The present invention relates to network optimization technical field more particularly to a kind of Tie line Power iterative optimization methods.Tie line Power iterative optimization method proposed by the present invention, which is specifically included that, exchanges power and short-term load forecasting result with security constraint, initial contact line according to unit generation cost, using the cost of electricity-generating for minimizing each regional power grid as target, optimizes and obtain the power output arrangement of each regional power grid;To reduce two regional power grid total power production costs as target, update is iterated to each scheduling slot Tie line Power based on the real-time marginal generating cost of regional power grid;Repeat previous step, until can not realize that total power production cost reduces by Tie line Power between updating two regional power grids, day part Tie line Power and unit output arrangement after just obtaining iteration optimization.This method leads to too small amount of data communication and significantly reduces the total power production cost of two regional power grids, avoids a large amount of data transmission, protects data-privacy.

Description

A kind of Tie line Power iterative optimization method
Technical field
The present invention relates to network optimization technical field more particularly to a kind of Tie line Power iterative optimization methods.
Background technique
Currently, the development of China's extra-high voltage grid construction is maked rapid progress, extra-high voltage alternating current-direct current transmission line of electricity quantity is not yet It is disconnected to increase, it will to form the control alternating current-direct current extra-high voltage regional power grid that region span is growing, electrical link is even closer.It is logical Multi-region electric network interconnection is crossed, carries out transregional transaction, is conducive to resource distributing rationally in network-wide basis, improves whole economy Property and safety.Unit Combination is to be gone out according to the parameter of the various constraint conditions of system and generating set to formulate reasonable unit Power scheme realizes that total power production cost is minimum.But under existing scheduling method, Unit Combination is only capable of mostly to regional power grid Internal generation assets optimize, and fail the resource optimization for considering network-wide basis.Therefore, in regional power grid Unit Combination result On the basis of, Tie line Power optimization is the key link that trans-regional most optimum distribution of resources is realized under existing operation plan mode One of, it is a kind of effective means for improving efficiency of energy utilization.Obviously, money of the Tie line Power optimization for electric system There is great role for the configuration of source, however the prior art or lack and power grid is actual contacts or to the overall situation of system Optimization considers deficiency, has certain limitation.
Summary of the invention
The object of the present invention is to provide a kind of Tie line Power iterative optimization methods, and it is inline to give full play to regional power grid The function of winding thread is minimized the whole network total power production cost.
For achieving the above object, the present invention provides a kind of Tie line Power iterative optimization method, it is applied to Two regional power grids of interconnection, comprising:
S1. power and short-term load forecasting are exchanged with security constraint, initial contact line according to unit generation cost as a result, with The cost of electricity-generating for minimizing each regional power grid is target, and optimization obtains the initial unit output arrangement of two regional power grids;
S2. initial total power production cost is calculated;
S3. to reduce total power production cost as target, by update each two regional power grids of scheduling slot power output arrangement and Tie line Power is iterated optimization, then calculates total power production cost;
S4. the total power production cost that step S3 is calculated is compared with the initial total power production cost, if being lower than institute Initial total power production cost is stated, then replaces the initial total power production cost with the total power production cost that step S3 is calculated, returns to step Rapid S3, otherwise stops iteration, export under current state Tie line Power of two regional power grids in each scheduling slot and Corresponding unit output arrangement.
Preferably, to reduce total power production cost as target, by updating each two regional power grids of scheduling slot in step S3 Power output arrangement and Tie line Power be iterated optimization and refer to as steps described below to t-th of scheduling slot, two regions The power output arrangement of power grid and Tie line Power are updated, wherein t=1,2 ..., T, T are preset scheduling slot number:
S31. marginal generating cost of two regional power grids in t-th of scheduling slot is calculated separately, is specifically included: being calculated The marginal generating cost of every generating set of two regional power grids in t-th of scheduling slot out selects the current scheduling period That highest generating set of interior marginal generating cost is as the marginal unit in corresponding region power grid, then the regional power grid is Marginal generating cost in t scheduling slot is the marginal generating cost of the marginal unit;
S32. according to the marginal generating cost of t-th of scheduling slot, two regional power grids, preset Tie line Power Update step-length judge whether to meet update condition, if meeting the update condition, t-th of scheduling slot marginal generating cost compared with The marginal unit generation power of high regional power grid updates step-length by the Tie line Power and lowers, t-th of scheduling slot The marginal unit generation power of the lower regional power grid of marginal generating cost updates step-length up-regulation by the Tie line Power, The Tie line Power of t-th of scheduling slot updates step-length by the Tie line Power and makees corresponding update;If discontented The foot update condition, the Tie line Power and corresponding unit output peace of two regional power grids in t-th of scheduling slot It arranges constant;
Wherein, the update condition is shown below:
In above formula, ρG,tFor the marginal generating cost of the higher regional power grid of marginal generating cost in t-th of scheduling slot; ρF,tThe marginal generating cost of the lower regional power grid of marginal generating cost in t-th of scheduling slot;ρLBetween two regional power grids Interconnection electrical energy transportation price;PL,tFor the Tie line Power of t-th of scheduling slot;PSFunction is exchanged for preset interconnection Rate updates step-length;PL,maxFor the regional power grid interconnection transmission power limit;For t-th of scheduling slot marginal generating cost The marginal unit k of higher regional power gridGGenerated output;For t-th of lower area of scheduling slot marginal generating cost The marginal unit k of domain power gridFGenerated output;For the higher regional power grid limit of t-th of scheduling slot marginal generating cost Unit kGMinimum load;For the lower regional power grid limit unit k of t-th of scheduling slot marginal generating costFMaximum Power output.
Compared with prior art, the present invention provides a kind of Tie line Power iterative optimization method.Firstly, according to unit Cost of electricity-generating exchanges power and short-term load forecasting as a result, each regional power grid carries out machine respectively with security constraint, initial contact line Group combination optimizes using the cost of electricity-generating for minimizing each regional power grid as target and obtains the initial unit output peace of each regional power grid Row.Then, on the basis of Unit Combination result, according to the real-time marginal cost of each regional power grid and marginal unit maximum/minimum Interconnection electrical energy transportation price, the interconnection transmission power limit and the exchange of default interconnection between power output technological constraint, regional power grid Power updates step-length, changes unit output arrangement of two regional power grids in each scheduling slot by the period, by updating two Tie line Power of the regional power grid in each scheduling slot optimizes unit of two regional power grids in each scheduling slot and goes out Power arrangement obtains optimization tie-line power transmission of two regional power grids in each scheduling slot and optimization unit output arrangement, This target of the whole network cost of electricity-generating is reduced to reach.The above process is repeated, until can not be by updating two region electricity Tie line Power realizes that total power production cost reduces between net, and the total power production cost of two regional power grids has reached optimal.This When, the Tie line Power of two regional power grids is optimal Tie line Power.In this method interconnection region power grid it Between only need a small amount of data communication, avoid the transmission of a large amount of data, protect data-privacy, and hand over by updating interconnection Power is changed, the total power production cost of two regional power grids is significantly reduced.
Specific embodiment
Below with reference to the embodiment of the present invention, technical scheme in the embodiment of the invention is clearly and completely described, shows So, described embodiments are only a part of the embodiments of the present invention, rather than whole embodiments.Based on the implementation in the present invention Example, every other embodiment obtained by those of ordinary skill in the art without making creative efforts belong to The scope of protection of the invention.
The embodiment of the invention provides a kind of Tie line Power iterative optimization method, this method is applied to the two of interconnection A regional power grid, specifically includes:
S1: with security constraint, initial contact line exchanging power and short-term load forecasting according to unit generation cost as a result, with The cost of electricity-generating for minimizing each regional power grid is target, and optimization obtains the initial unit output arrangement of two regional power grids;
Two regional power grids are denoted as regional power grid 1 and regional power grid 2 respectively, it is specified that two regional power grids are in each scheduling The Tie line Power positive direction of section flows to regional power grid 1 from regional power grid 2 for active power.According to unit generation cost with Security constraint, initial contact line exchange power and short-term load forecasting are as a result, respectively with the hair of regional power grid 1 and regional power grid 2 Electric cost minimization turns to target, and optimization obtains the initial unit output arrangement of regional power grid 1 and regional power grid 2;
S2. initial total power production cost is calculated;
Initial total hair is calculated according to the cost of electricity-generating that initial contact line exchanges power, regional power grid 1 and regional power grid 2 Electric cost.
S3. to reduce total power production cost as target, by the interconnection for updating each scheduling slot between two regional power grids The power output arrangement of exchange power and two each scheduling slots of regional power grid is iterated optimization, then calculates total power production cost;
To reduce total power production cost as target, the interconnection by updating each scheduling slot between two regional power grids is exchanged The power output arrangement of power and two each scheduling slots of regional power grid is iterated optimization, specifically includes the following steps:
Firstly, unit output arrangement of two regional power grids solved according to step S1 in each scheduling slot, by the period Calculate separately the marginal generating cost of regional power grid 1 and regional power grid 2, specific formula for calculation are as follows:
ρi,t=2ai,kPi,k,t+bi,k (1)
In above formula, ρi,tFor marginal generating cost of the regional power grid i in t-th of scheduling slot, wherein i is regional power grid Index, i=1,2;T is scheduling slot index, and entire scheduling interval is made of T scheduling slot, t=1,2,3, T; ai,kAnd bi,kThe electric power generation cost data of the marginal unit k of respectively regional power grid i, wherein k is each regional power grid in each scheduling Marginal machine group index in section, each regional power grid are made of K platform unit, k=1, and 2,3, K;Pi,k,tFor regional power grid i The generated output of marginal unit k in t-th of scheduling slot.Wherein, limit hair of the regional power grid i in t-th of scheduling slot Electric cost is the maximum value of regional power grid marginal generating cost of all booting units within the current scheduling period, then corresponding Unit is marginal unit of the regional power grid i in t-th of scheduling slot.As the iteration of Tie line Power updates, each area Marginal unit of the domain power grid within the current scheduling period may change, i.e., side of each regional power grid in each scheduling slot Border machine group index k may change.
Then, step-length, interconnection electrical energy transportation price, interconnection are updated by preset Tie line Power and conveys function Rate limit restraint and marginal unit maximum/minimum power output technological constraint, by period update area power grid 1,2 in each scheduling slot Tie line Power, specifically the exchange power as steps described below to interconnection in t-th of scheduling slot is updated, Wherein, t=1,2 ..., T, T are preset scheduling slot number:
(1) in t-th of scheduling slot, if ρ1,t> ρ2,t, illustrate that the marginal generating cost of regional power grid 1 is larger, G 1, The marginal generating cost of regional power grid 2 is smaller, F 2, and when meeting the constraint condition as shown in formula (2) simultaneously, must update current The power output arrangement of the marginal unit of Tie line Power and regional power grid 1,2 in scheduling slot.
In above formula, ρL,tFor interconnection electrical energy transportation price, unit: $/MW;PL,tIt is interconnection in t-th of scheduling slot Exchange power, unit: MW;PSStep-length, unit: MW are updated for preset Tie line Power;PL,maxFor interconnection conveying Power limit, unit: MW;P1,k1,t、P2,k2,tThe respectively marginal unit output value in t-th of scheduling slot of regional power grid 1,2, Unit: MW;For the minimum load of the marginal unit in t-th of scheduling slot of regional power grid 1, unit: MW;For region The maximum output of the marginal unit in t-th of scheduling slot of power grid 2, unit: MW.Wherein, k1、k2Respectively regional power grid 1,2 exists Marginal machine group index in t-th of scheduling slot.If above-mentioned constraint condition all meets, illustrate in t-th of scheduling The difference of the marginal generating cost of two regional power grids is greater than interconnection conveying price in section, and meets interconnection transmission power pole Limit constraint and marginal unit maximum/minimum power output technological constraint.At this point, can update as the following formula in the area current scheduling period Nei Liangge The power generating value of Tie line Power and marginal unit between the power grid of domain:
The current scheduling period, after the marginal generating cost of regional power grid 1 subtracts the marginal generating cost of regional power grid 2, Difference is greater than dominant eigenvalues and conveys price.Due to regulation two regional power grids each scheduling slot Tie line Power just Direction flows to regional power grid 1 from regional power grid 2 for active power, and Tie line Power increases PS, corresponding, regional power grid 1 Marginal unit output value lower PS, the marginal unit output value up-regulation P of regional power grid 2S
(2) in t-th of scheduling slot, if ρ1,t< ρ2,t, illustrate that the marginal generating cost of regional power grid 1 is smaller, F 1, The marginal generating cost of regional power grid 2 is larger, G 2, and when meeting the constraint condition as shown in formula (4) simultaneously, must update current adjust The power output arrangement of the Tie line Power and the marginal unit of regional power grid 1,2 in the period is spent, specifically more new formula such as formula (5) institute Show.
In above formula, ρL,tFor interconnection electrical energy transportation price, unit: $/MW;PL,tIt is interconnection in t-th of scheduling slot Exchange power, unit: MW;PSStep-length, unit: MW are updated for preset Tie line Power;PL,maxFor interconnection conveying Power limit, unit: MW;P1,k1,t、P2,k2,tThe respectively marginal unit output value in t-th of scheduling slot of regional power grid 1,2, Unit: MW;For the maximum output of the marginal unit in t-th of scheduling slot of regional power grid 1, unit: MW;For region The maximum output of the marginal unit in t-th of scheduling slot of power grid 2, unit: MW.Wherein, k1、k2Respectively regional power grid 1,2 exists Marginal machine group index in t-th of scheduling slot.If above-mentioned constraint condition all meets, illustrate in t-th of scheduling The difference of the marginal generating cost of two regional power grids is greater than interconnection conveying price in section, and meets interconnection transmission power pole Limit constraint and marginal unit maximum/minimum power output technological constraint.At this point, can update as the following formula in the area current scheduling period Nei Liangge The power generating value of Tie line Power and marginal unit between the power grid of domain:
The current scheduling period, after the marginal generating cost of regional power grid 2 subtracts the marginal generating cost of regional power grid 1, Difference is greater than dominant eigenvalues and conveys price.Due to regulation two regional power grids each scheduling slot Tie line Power just Direction flows to regional power grid 1 from regional power grid 2 for active power, and Tie line Power reduces PS, corresponding, regional power grid 1 Marginal unit output value raise PS, the marginal unit output value downward P of regional power grid 2S
(3) in t-th of scheduling slot, if being unsatisfactory for formula (2) or formula (4) described condition, when keeping current scheduling The Tie line Power of two regional power grids and marginal unit output are constant in section.
After the completion of all scheduling time Tie line Powers all update, updated total power production cost is calculated, then will Updated total power production cost is compared with the initial total power production cost, if being lower than the initial total power production cost, is used The total power production cost that step S3 is calculated replaces the initial total power production cost, otherwise return step S3 stops iteration, exports Tie line Power and corresponding unit output arrangement of two regional power grids in each scheduling slot under current state.
S4. the total power production cost that step S3 is calculated is compared with the initial total power production cost, if being lower than institute Initial total power production cost is stated, then replaces the initial total power production cost with the total power production cost that step S3 is calculated, returns to step Rapid S3, otherwise stops iteration, export under current state Tie line Power of two regional power grids in each scheduling slot and Corresponding unit output arrangement.
The Tie line Power initial value of regional power grid 1,2 is that the interconnection that interconnection long term power exchange plan gives is handed over Power is changed, from the initial value, method as described above, on the basis of initial Unit Combination result, only according to each region The power output bound, interregional interconnection electrical energy transportation price of marginal unit, interconnection are defeated in real time for real-time marginal cost, each region It send power limit and default interconnection to update step-length, changes unit output of two regional power grids in each scheduling slot by the period It arranges, by updating two regional power grids Tie line Power in each scheduling slot, optimizes two regional power grids in each tune The unit output arrangement in the period is spent, optimization tie-line power transmission of two regional power grids in each scheduling slot and excellent is obtained Change unit output arrangement, so that reaching reduces this target of the whole network cost of electricity-generating.The above process is repeated, until two regions Between Tie line Power can not update, the total power production cost of two regional power grids has reached optimal.At this point, two region electricity The Tie line Power of net is optimal Tie line Power.
Technical solution provided in an embodiment of the present invention is described in detail below with reference to practical application scene, firstly, defeated Enter the electric power generation cost data of unit, technical parameter, short-term load forecasting data and interconnection initial exchange in a dispatching cycle Power, each regional power grid carry out Unit Combination respectively;Then, interconnection electrical energy transportation price, Tie line Power are inputted more New step-length, interconnection transmission power limiting value.2 regional power grids are shared in the present embodiment, each regional power grid there are 10 power generations Unit, for design parameter as shown in table 1, table 2, load prediction data is shown in Table 3.
It should be noted that in the present embodiment dispatching cycle be one day, a scheduling slot length is 1 hour, one Share 24 scheduling slots a dispatching cycle.
1 regional power grid of table, 1 generator 's parameter
2 regional power grid of table, 2 generator 's parameter
3 load prediction data of table
Arrangement, load are planned and contributed to the initial unit booting of regional power grid 1,2 respectively as shown in table 4, table 5, in addition, two Interconnection parameter between a regional power grid is shown in Table 6.
The initial unit output arrangement of 4 regional power grid of table 1
The initial unit output arrangement of 5 regional power grid of table 2
6 interconnection parameter of table
The computer hardware environment for executing optimization is Intel (R) Core (TM) i5-8265U, dominant frequency 1.60GHz, memory For 8GB;Software environment is 10 operating system of Windows.It is emulated using above data, region is set forth in table 7, table 8 The optimal unit output arrangement of power grid 1,2 can be seen that two regional power grid operations can fully meet entire scheduling week from table 7-8 Workload demand in phase, and do not occur abandoning power levels.
The optimal unit output arrangement of 7 regional power grid of table 1
The optimal unit output arrangement of 8 regional power grid of table 2
As shown in Table 7, regional power grid 1 increases 60MW in the unit gross capability of scheduling slot 1,2, scheduling slot 3, 8, unit gross capability reduces 10MW in 15-19.According to shown in table 8, unit gross capability of the regional power grid 2 in scheduling slot 1,2 Reduce 60MW, unit gross capability increases 10MW in scheduling slot 3,8,15-19, illustrates real-time based on regional power grid Marginal generating cost is iterated update to Tie line Power, can give full play to the tie-line power transmission between regional power grid Effect.
The optimal Tie line Power of table 9
Table 9 gives optimal Tie line Power and conveying cost, intuitively illustrates the region in each scheduling slot The flow direction of the exchange power of 1,2 interconnection of power grid, in scheduling slot 1,2, active power is flowed by interconnection from regional power grid 1 To regional power grid 2, value is 60MW.In 3,8 and 15-19 of scheduling slot, active power is flowed by interconnection from regional power grid 2 To regional power grid 1, value is 10MW.
Total power production cost compares after table 10 gives regional power grid 1,2 initial total power production costs and optimizes.As it can be seen that initial complete Net total generation cost is 1297017.8 $, and optimal the whole network total generation cost after optimization is 1272200.8 $, cost decline 24817 $, economic benefit obviously get a promotion.
The comparison of 10 performance driving economy of table
The above results are analyzed it is found that the present invention is by optimization Tie line Power, while coordinating and optimizing each regional power grid Interior generation schedule is of great significance to reducing the whole network total power production cost, improving performance driving economy.
A kind of Tie line Power optimization method provided herein is described in detail above, it is described above It is merely used to help understand the present processes and its core concept.It should be pointed out that for corresponding those of ordinary skill in the art, Under the premise of not departing from the application principle, can also to the application, some improvement and modification can also be carried out, these improvement and modification It falls into the protection scope of the claim of this application.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment Speech, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration ?.

Claims (2)

1. a kind of Tie line Power iterative optimization method, two regional power grids applied to interconnection, which is characterized in that described Iterative optimization method includes:
S1. power and short-term load forecasting are exchanged as a result, with minimum with security constraint, initial contact line according to unit generation cost The cost of electricity-generating for changing each regional power grid is target, and optimization obtains the initial unit output arrangement of two regional power grids;
S2. initial total power production cost is calculated;
S3. to reduce total power production cost as target, by the power output arrangement and contact that update each two regional power grids of scheduling slot Line exchange power is iterated optimization, then calculates total power production cost;
S4. the total power production cost that step S3 is calculated is compared with the initial total power production cost, if first lower than described Beginning total power production cost, then the total power production cost replacement initial total power production cost being calculated with step S3, return step S3, Otherwise stop iteration, export unit output arrangement in each scheduling slot of two regional power grids under current state and corresponding Winding thread exchanges power.
2. a kind of Tie line Power iterative optimization method according to claim 1, which is characterized in that in step S3 with Reduction total power production cost is target, by the power output arrangement and Tie line Power that update each two regional power grids of scheduling slot It is iterated optimization and refers to the power output arrangement to t-th of scheduling slot, two regional power grids as steps described below and interconnection exchange Power is updated, wherein t=1,2 ..., T, T are preset scheduling slot number:
S31. marginal generating cost of two regional power grids in t-th of scheduling slot is calculated separately, specifically includes: calculating two The marginal generating cost of every generating set of a regional power grid in t-th of scheduling slot selects current scheduling period inner edge Cost of electricity-generating that highest generating set in border is as the marginal unit in corresponding region power grid, then the regional power grid is at t-th Marginal generating cost in scheduling slot is the marginal generating cost of the marginal unit;
S32. it is updated according to the marginal generating cost of t-th of scheduling slot, two regional power grids, preset Tie line Power Step-length judges whether to meet update condition, if meeting the update condition, t-th of scheduling slot marginal generating cost is higher The marginal unit generation power of regional power grid updates step-length by the Tie line Power and lowers, t-th of scheduling slot limit The marginal unit generation power of the lower regional power grid of cost of electricity-generating updates step-length up-regulation, t by the Tie line Power The Tie line Power of a scheduling slot updates step-length by the Tie line Power and makees corresponding update;If being unsatisfactory for institute State update condition, the Tie line Power of two regional power grids and corresponding unit output arrange not in t-th of scheduling slot Become;
Wherein, the update condition is shown below:
In above formula, ρG,tFor the marginal generating cost of the higher regional power grid of marginal generating cost in t-th of scheduling slot;ρF,tThe The marginal generating cost of the lower regional power grid of marginal generating cost in t scheduling slot;ρLIt is got in touch between two regional power grids Line electrical energy transportation price;PL,tFor the Tie line Power of t-th of scheduling slot;PSMore for preset Tie line Power New step-length;PL,maxFor the regional power grid interconnection transmission power limit;It is higher for t-th of scheduling slot marginal generating cost Regional power grid marginal unit kGGenerated output;For the lower region electricity of t-th of scheduling slot marginal generating cost The marginal unit k of netFGenerated output;For the higher regional power grid limit unit of t-th of scheduling slot marginal generating cost kGMinimum load;For the lower regional power grid limit unit k of t-th of scheduling slot marginal generating costFMaximum go out Power.
CN201910584675.8A 2019-07-01 2019-07-01 Iterative optimization method for junctor exchange power Active CN110323787B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910584675.8A CN110323787B (en) 2019-07-01 2019-07-01 Iterative optimization method for junctor exchange power

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910584675.8A CN110323787B (en) 2019-07-01 2019-07-01 Iterative optimization method for junctor exchange power

Publications (2)

Publication Number Publication Date
CN110323787A true CN110323787A (en) 2019-10-11
CN110323787B CN110323787B (en) 2021-09-24

Family

ID=68122116

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910584675.8A Active CN110323787B (en) 2019-07-01 2019-07-01 Iterative optimization method for junctor exchange power

Country Status (1)

Country Link
CN (1) CN110323787B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004229415A (en) * 2003-01-23 2004-08-12 Tokyo Electric Power Co Inc:The Information processing method, equipment and program about market price of electric power
JP2005223986A (en) * 2004-02-04 2005-08-18 Toshiba Corp Interconnection system for power system, and power control method
JP2006158189A (en) * 2004-11-04 2006-06-15 Tokyo Electric Power Co Inc:The Cost minimization power control system using combination of electric power transaction and distributed power supply
JP2011097664A (en) * 2009-10-27 2011-05-12 Yoshifumi Mizutani Output specified power supply
CN103414206A (en) * 2013-07-12 2013-11-27 国电南瑞科技股份有限公司 Water, fire and light combined optimization power generation scheduling optimization method considering security constraints
CN103580021A (en) * 2013-10-28 2014-02-12 国家电网公司 Method for optimizing inter-subarea tie line exchanged electricity based on marginal electricity generation energy consumption
CN103824235A (en) * 2014-03-18 2014-05-28 国家电网公司 Method for making power generation absorption scheme for new energy power stations based on price bidding
CN104617590A (en) * 2014-07-18 2015-05-13 国网上海市电力公司 Microgrid energy optimization method based hybrid energy storage dispatching under different time scales
CN105226708A (en) * 2015-10-15 2016-01-06 中国电力科学研究院 The equivalent coordination optimizing method of a kind of large scale electric network operation plan

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004229415A (en) * 2003-01-23 2004-08-12 Tokyo Electric Power Co Inc:The Information processing method, equipment and program about market price of electric power
JP2005223986A (en) * 2004-02-04 2005-08-18 Toshiba Corp Interconnection system for power system, and power control method
JP2006158189A (en) * 2004-11-04 2006-06-15 Tokyo Electric Power Co Inc:The Cost minimization power control system using combination of electric power transaction and distributed power supply
JP2011097664A (en) * 2009-10-27 2011-05-12 Yoshifumi Mizutani Output specified power supply
CN103414206A (en) * 2013-07-12 2013-11-27 国电南瑞科技股份有限公司 Water, fire and light combined optimization power generation scheduling optimization method considering security constraints
CN103580021A (en) * 2013-10-28 2014-02-12 国家电网公司 Method for optimizing inter-subarea tie line exchanged electricity based on marginal electricity generation energy consumption
CN103824235A (en) * 2014-03-18 2014-05-28 国家电网公司 Method for making power generation absorption scheme for new energy power stations based on price bidding
CN104617590A (en) * 2014-07-18 2015-05-13 国网上海市电力公司 Microgrid energy optimization method based hybrid energy storage dispatching under different time scales
CN105226708A (en) * 2015-10-15 2016-01-06 中国电力科学研究院 The equivalent coordination optimizing method of a kind of large scale electric network operation plan

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
GARGI KONAR,等: "Effects of Unscheduled Interchange based Secondary Frequency Control on Tie Line Power of Multi-area Hybrid Power System", 《2015 IEEE POWER, COMMUNICATION AND INFORMATION TECHNOLOGY CONFERENCE (PCITC)》 *
曹阳 等: "基于等效聚合的大型互联电网风电接纳能力", 《高电压技术》 *
许丹 等: "考虑安全约束的联络线供需协调计划模型", 《电网技术》 *
郝然 等: "基于多智能体一致性的能源互联网协同优化控制", 《电力***自动化》 *

Also Published As

Publication number Publication date
CN110323787B (en) 2021-09-24

Similar Documents

Publication Publication Date Title
Wang et al. Green energy scheduling for demand side management in the smart grid
Han et al. Incentivizing prosumer coalitions with energy management using cooperative game theory
Xu et al. Distributed multienergy coordination of multimicrogrids with biogas-solar-wind renewables
Sun et al. Distributed real-time power balancing in renewable-integrated power grids with storage and flexible loads
Yang et al. Interactive energy management for enhancing power balances in multi-microgrids
Luo et al. Optimal coordination of plug-in electric vehicles in power grids with cost-benefit analysis—Part I: Enabling techniques
Samadi et al. Optimal real-time pricing algorithm based on utility maximization for smart grid
Liang et al. A generalized Nash equilibrium approach for autonomous energy management of residential energy hubs
Ibars et al. Distributed demand management in smart grid with a congestion game
Jazebi et al. Distribution network reconfiguration in the presence of harmonic loads: optimization techniques and analysis
Sun et al. Real-time power balancing in electric grids with distributed storage
Yu et al. Distributed control of multi-energy storage systems for voltage regulation in distribution networks: A back-and-forth communication framework
EP3696765A1 (en) Method for improving the performance of the energy management in a nearly zero energy building and system therefor
Arpanahi et al. A comprehensive and efficient decentralized framework for coordinated multiperiod economic dispatch of transmission and distribution systems
Ullah et al. A computationally efficient consensus-based multiagent distributed EMS for DC microgrids
Guo et al. Distribution system operation with renewables and energy storage: A linear programming based multistage robust feasibility approach
Feng et al. Frequency regulation service provision for virtual power plants through 5G RAN slicing
KR20210100699A (en) hybrid power plant
Hu et al. Network constrained transactive control for electric vehicles integration
CN107528321B (en) Random optimal distribution method for power of interconnected power grid alternating current-direct current parallel power transmission channel
Narkhede et al. Trends and challenges in optimization techniques for operation and control of Microgrid-A review
Wang et al. Asynchronous decomposition method for the coordinated operation of virtual power plants
Tang et al. Learning-accelerated asynchronous decentralized optimization for integrated transmission and distribution systems over lossy networks
Zhang et al. Grouping consistency control strategy based on DMPC and energy storage unit constraints
CN105226649B (en) One kind predicting improved provincial power network power generation dispatching optimization method based on bus load

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
EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20191011

Assignee: NANTONG ZHONGNENG MACHINERY Co.,Ltd.

Assignor: NANTONG University

Contract record no.: X2022980024936

Denomination of invention: An iterative optimization method for tie line exchange power

Granted publication date: 20210924

License type: Common License

Record date: 20221209