CN106384162B - Consider electric system electric energy-spare joint optimal operation method of zonal reserve and N-1 verification - Google Patents
Consider electric system electric energy-spare joint optimal operation method of zonal reserve and N-1 verification Download PDFInfo
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Abstract
The invention discloses a kind of electric system electric energy-spare joint optimal operation methods of consideration zonal reserve and N-1 verification: the minimum essential requirement amount of power grid total system and each zonal reserve is determined, to establish with the combined optimization model of the minimum consideration zonal reserve of electric energy and spare expense.The N-1 security constraint of initial forecast accident is added in the Optimized model, and it solves and obtains initial schedule scheme, then N-1 verification is carried out to each subregion internal transmission line, if verification passes through, the program is the Optimized Operation scheme of subsequent time, if do not passed through, then corresponding N-1 check formula is added to Optimal Operation Model and solved and obtains new scheduling scheme, above-mentioned verification is repeated, passes through until the N-1 of all transmission lines is verified, then obtains final Optimized Operation scheme.Optimization Scheduling of the present invention advantageously ensures that the safety and spare validity of power grid, realizes distributing rationally for resource well.
Description
Technical field
The present invention relates to a kind of power system optimal dispatch method under electricity market, more particularly to being examined under electricity market
Consider electric system electric energy-spare joint optimal operation method of zonal reserve and N-1 verification.
Background technique
Generation schedule refers to according to load prediction, under the premise of meeting power-balance, in conjunction with each unit output bound,
The constraint conditions such as each unit maximum climbing power consider the actual conditions such as start and stop and the minimum downtime of each unit, and mention
The generated output of each unit of preceding layout formulates the important process that generation schedule is electric power system dispatching department.It generates electricity formulating
While plan, need to be arranged certain spare capacity to cope with various uncertain factors, such as load fluctuation, generating set
Forced outage and electric network fault etc. avoid cutting load from causing to damage to power consumer to safeguard the safe and stable operation of power grid
It loses.In country variant and area, the spare classification of power grid is different, but according to spare purposes, can be generally divided into tune
Save spare and spinning reserve two major classes, wherein the spare load fluctuation for being mainly used for Fast-Balance power grid of adjusting, and spinning reserve
Mainly after power grid accident generation, for making up active vacancy caused by accident.Under normal circumstances, the spare capacity of power grid purchase
More, the power supply reliability of system is higher;But if the spare capacity of purchase is excessive, it will cause generation assets waste, influence
The economy of power grid.In March, 2015, what the Central Committee of the Communist Party of China, State Council issued " deepens the several of power system reform about further
Opinion " (i.e. " No. 9 texts ") open the gate that new round electricity changes, and publication means that key changes occurs for China Power system
Become.The final purpose of power system reform is to realize the high-efficient disposition of resource, safe and clean, reliably meet whole society's electricity consumption
Demand.Therefore, while guaranteeing electric network security and economy, how reasonably to arrange generation schedule and configure spare appearance
Amount, becomes the critical issue of electric power system dispatching department urgent need to resolve.
In view of electric energy and it is spare between there are coupled relations, in recent years, Foreign Electricity Markets in operative practice gradually
The method for being intended to use the spare combined dispatching of electric energy-a few days ago, in Real-time markets, the optimization that resource can be better achieved are matched
It sets.It is generally optimal for objective function with economy in the conventional spare combined scheduling method of electric energy-, consider power-balance, hair
The constraint conditions such as the limitation of motor climbing rate, line transmission capacity limit, spare capacity minimum essential requirement, to electric energy and spare
Optimization is closed, to obtain the scheduling scheme of network minimal.Since the spare safety for safeguarding power grid and power supply reliability play
Vital effect, therefore domestic and foreign scholars from different perspectives study spare Optimal Configuration Method, mainly examine
The different factors such as mains frequency recovery, reliability assessment, interconnected network characteristic, forecast accident are considered.
It is spare usually only to need to meet the spare minimum essential requirement amount of the whole network i.e. in the existing spare combined scheduling method of electric energy-
It can.But in actual electric network, since generation assets distribution is uneven, cost of electricity-generating gap is larger, it is possible to will lead to spare
Capacity concentrates in a certain region.It is after the accident it is possible that standby in view of line transmission capacity limitation and network congestion
The phenomenon that can not called with capacity seriously affects the safety and reliability of operation of power networks.Therefore, in order to spare after guarantee accident
The validity of capacity considers that zonal reserve minimum essential requirement amount is very important in the spare combined scheduling method of electric energy-.With
This seldom carries out N-1 verification to line and transformer in the spare combined scheduling method of current electric energy-simultaneously, however in reality
In power grid, need the N-1 for carrying out route, transformer and generator verification to meet Network Security Constraints.Therefore, it is necessary to
Comprehensively consider zonal reserve and N-1 verification, propose a kind of new electric system electric energy-spare joint optimal operation method, for electricity
The work of net actual schedule provides reference.
Summary of the invention
The purpose of the present invention is to provide electric system electric energy-spare joints of a kind of consideration zonal reserve and N-1 verification
Optimization Scheduling, this method is optimal for target with economy, while considering zonal reserve constraint and the constraint of N-1 failure, to electricity
Energy and spare carry out combined optimization, to obtain reasonable scheduling scheme.
To achieve the above object, the invention adopts the following technical scheme:
Step 1: determining the system reserve minimum essential requirement amount and zonal reserve minimum essential requirement of next scheduling slot regional power grid
Amount;
Step 2: the electric energy and the minimum objective function of spare total cost bought with regional power grid are established and consider zonal reserve
The spare combined optimization model of the electric energy-of demand;
Step 3: the setting initial contingency set of N-1, including subregion interconnection and each subregion are contributed in a upper scheduling slot
The N-1 failure of maximum generation machine, and the N-1 security constraint of initial forecast accident is added to above-mentioned steps 2 as constraint condition
In gained Optimized model, electric system electric energy-spare joint optimal operation model of formation consideration zonal reserve and N-1 constraint is simultaneously
Solution obtains initial schedule scheme;
Step 4: N-1 verification is carried out to the transmission line inside each subregion according to scheduling scheme one by one
If the verification of certain transmission lines passes through, continue to verify next transmission lines, it, should if verification does not pass through
The N-1 check formula of transmission line is added in step 3 gained Optimal Operation Model as constraint condition, obtains new Optimized Operation
Model obtains new scheduling scheme by solving the Optimal Operation Model, is continued to verify next biography according to new scheduling scheme
Defeated line;Above-mentioned N-1 verification is repeated, is completed until the N-1 of all transmission lines is verified, then finally obtained scheduling scheme is as next
The Optimized Operation scheme of scheduling slot.
It is spare to be divided into the spare and spinning reserve of adjusting in the step 1, wherein adjusting spare for quickly inhibiting system
The load fluctuation of system is undertaken by AGC (Automatic Generation Control) units all in regional power grid, therefore only considers that system adjusting is spare most
Small demand is usedIt indicates;Spinning reserve is mainly used for making up active vacancy after the accident, by owning in regional power grid
Schedulable unit undertakes, and in order to guarantee the safety of spare deliverability and power grid, needs to consider system spinning reserve simultaneously
Minimum essential requirement amount and subregion spinning reserve minimum essential requirement amount, are expressed asWith Be taken as the whole network (refer to regional power grid,
Similarly hereinafter) the a% of total load;It is determined by the b% of the whole network total load and the minimum value of both the whole network maximum generation unit installed capacitys
It is fixed;It is taken as the c% of each partition load;Coefficient a, b, c can be selected according to power grid actual conditions.In addition to this system reserve
It needs to obtain by off-line simulation with the minimum essential requirement amount of zonal reserve.
In the step 2, the target of the Optimization Scheduling is that economy is optimal, i.e., the whole network is bought in scheduling slot
Electric energy and spare total cost reach minimum, specific objective function can indicate are as follows:
Wherein, PiIt contributes for the plan of i-th generating set,The purchase of spare capacity is adjusted up for i-th AGC unit
The amount of buying,Adjust the purchase volume of spare capacity, R downwards for i-th AGC unitiFor i-th generating set spinning reserve capacity
Purchase volume, αi,βi,γiIt respectively indicates i-th generating set electric energy, adjust spare and spinning reserve quotation, unit Yuan/
MW, NgFor the sum of the schedulable unit of the whole network, NaFor the sum of the whole network AGC unit.
The spare combined optimization model of electric energy-for considering zonal reserve demand includes power balance equation, generator output work
Rate constraint, the constraint of generator climbing rate, the constraint of spare climbing rate, the constraint of system reserve minimum essential requirement amount, zonal reserve minimum need
The amount of asking constraint and line transmission capacity-constrained embody as follows:
1) power balance equation
Wherein, DiIndicate the load of i-th of node, NdFor the number of nodes of the whole network.
2) generated output power constrains
For all AGC units (A indicates regional power grid AGC unit set):
AndMeanwhileAnd
Wherein, PimaxFor the maximum active power output of i-th generating set, PiminMinimum technology for i-th generating set goes out
Power, AimaxThe upper limit, A are adjusted for the AGC of i-th generating setiminLower limit is adjusted for the AGC of i-th generating set.
For all schedulable non-AGC units (B indicates the schedulable non-AGC unit collection of regional power grid
Close):
Pi+Ri≤Pimax (4)
3) generator climbing rate constrains
Wherein, P0iIt, can be from power grid energy for the active power output value of i-th previous scheduling slot of generating set of regional power grid
It is obtained in management system (EMS).
4) spare climbing rate constraint
And
Wherein,For the ratio of slope of climbing of i-th generating set of regional power grid,For i-th generating set of regional power grid
Downward climbing rate, t1To adjust spare response time, t2For the response time of spinning reserve.
5) system reserve minimum essential requirement amount constrains
And
It is standby that constraints above condition shows that the spare total amount of adjusting that the whole network provides and spinning reserve total amount should meet system adjusting
With the minimum essential requirement amount with spinning reserve.
6) zonal reserve minimum essential requirement amount constrains
For each subregion z, have:
Wherein,Indicate the number of units of schedulable unit in subregion z, this constraint shows generating set institute in each subregion
The spinning reserve of offer should meet subregion spinning reserve minimum essential requirement amount.
7) line transmission capacity-constrained
For routes all in power grid:
Under ground state trend, all line powers should meet the limitation of transmission capacity in regional power grid.Wherein,For kth
Active power on route,For the maximum transfer capacity of kth route, HkiDistribution factor matrix H is shifted for power
The i-th column element of row k indicates influence of the injecting power of i-th of node to kth route active power.
N-1 accident set can be divided into two classes: first is that system generator fault set, another kind of is system communications line and transformation
Device fault set.These two types of fault sets need to consider different modeling patterns in Optimized model: after generator N-1 failure, system
Power-balance be destroyed, need system reserve to recall and dispatched again, thus Optimized model modeling when, consider generator therefore
New variables is set after barrier, guarantees the feasibility of model;After route or transformer N-1 failure, the power-balance of system will not be broken
It is bad, therefore do not need system reserve and recall to be dispatched again, therefore in Optimized model modeling, consider route or transformer fault
After do not need setting new variables, Optimized Operation result can meet normal and fault condition constraint condition simultaneously.
After determining N-1 contingency set, the N-1 principle of route, transformer and generator is added to as constraint condition
In Optimized model described in step 2, is formed under electricity market and consider that the electric system electric energy-of zonal reserve and N-1 constraint is spare
Joint optimal operation model.
However, this is a ultra-large optimization problem, actual motion is difficult to solve.Therefore dynamic actively collection can be used
Method be iterated solution.The primary fault collection of iteration is set, and wherein initial plant N-1 refers to that an important interconnection occurs
Broken string, such as the interconnection between each subregion of power grid;Initial generator N-1 refers to that the important generating set of each subregion breaks down
It stops transport.Specifically, the constraint condition of route N-1 and generator N-1 are as follows:
1) route N-1 is constrained
After one anticipation route disconnects, in order to meet the power demand of user while guarantee the safety of power grid, at each
Under the premise of generating set power output is constant, all routes of the whole network still need to meet line transmission capacity-constrained.Assuming that m-th of anticipation line
Road N-1 failure occurs, then the topological structure of power grid changes, therefore power transfer distribution factor changes, and is calculated
New power shifts distribution factor matrix Hm.To which route N-1 constraint representation is as follows:
After m-th of anticipation route N-1 failure occurs, for remaining route in regional power grid, have:
Wherein,The active power envisioned on route N-1 failure generation rear region power grid kth route for m-th,
Distribution factor matrix H is shifted for new powermThe i-th column element of row k.
Since transformer can be expressed as the form of route in a model, no longer the N-1 of transformer is individually listed about
Beam.
2) generator N-1 is constrained
After n-th of anticipation generator N-1 failure occurs, this generator failure is stopped transport, and cannot be continued to provide electric energy, be adjusted
Save spare and spinning reserve, therefore to recall spinning reserve active caused by generator N-1 to make up for the whole network remaining generating set
Vacancy.At this time, it may be necessary to guarantee that all routes of the whole network still need to meet line transmission capacity-constrained to guarantee the peace of power grid after failure
Quan Xing.Embodying for generator N-1 constraint is as described below:
After n-th of anticipation generator N-1 failure occurs:
At this point, system, which adjusts spare minimum essential requirement amount and spinning reserve minimum essential requirement amount, to be met, it may be assumed that
And
Meanwhile the spinning reserve total amount that the whole network remaining generating set recalls should meet active power shortage:
Wherein,The rotation for indicating that i-th generating set should recall after n-th of anticipation generator N-1 failure occurs is standby
With value is limited by i-th generating set spinning reserve purchase volume, it may be assumed that
Meanwhile after spinning reserve recalls, there is still a need for meet line transmission capacity-constrained for the whole network route:
Wherein,The active power envisioned on generator N-1 failure generation rear region power grid kth route for n-th.
Later, the spare joint of the electric system electric energy-constrained according to zonal reserve under above-mentioned consideration electricity market and N-1 is excellent
Change scheduling model, acquires the initial schedule scheme of next scheduling slot.
In the step 4, in order to guarantee the safety of operation of power networks, each point is carried out to step 3 gained initial schedule scheme
The N-1 of area's internal transmission line is verified.Assuming that N-1 failure occurs for the u articles subregion internal transmission line, then power shifts distribution factor square
Battle array becomes Hu, on the basis of current scheduling scheme, verify whether remaining route in power grid meets line transmission appearance according to the following formula
Amount constraint (meets then verification to pass through, be unsatisfactory for, verify and do not pass through):
Wherein,The wattful power on N-1 failure rear region power grid kth article route occurs for the u articles subregion internal transmission line
Rate,Distribution factor matrix H is shifted for new poweruThe i-th column element of row k.
N-1 verification is carried out to the transmission line inside each subregion one by one, if the verification of certain transmission line passes through, continues to verify
Next transmission lines;If verification does not pass through, it regard the N-1 check formula (referring to formula 15) of the transmission line as constraint condition
It is added in step 3 gained Optimal Operation Model, obtains new Optimal Operation Model, is obtained by solving the Optimal Operation Model
New scheduling scheme;Above-mentioned N-1 verification is repeated, passes through until the N-1 of all transmission lines is verified, then obtains final Optimized Operation
Scheme returns to EMS, provides reference for the dispatching of power netwoks of subsequent time.
The beneficial effects of the present invention are embodied in:
The present invention under conditions of considering that zonal reserve minimum essential requirement amount and route, transformer and generator N-1 constrain,
Using the electricity of purchase and spare network minimal as target, carry out combined optimization spare to electricity-, to obtain reasonable dispatching party
Case realizes distributing rationally for resource, while N-1 verification further ensures system operation so that power grid overall economy quality is more preferably
Reliability, and provide the traffic control of electric system certain reference.
Detailed description of the invention
Fig. 1 is electric system electric energy-spare joint optimal operation side of consideration zonal reserve and N-1 verification of the present invention
Method flow chart;
Fig. 2 is the test sub-area division schematic diagram in the embodiment of the present invention;Heavy line in figure between each subregion is subregion
Interconnection, number 1~118 indicate node serial number, and G is generating set.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is described in further detail.It should be appreciated that embodiment described herein is not used to limit only to explain the present invention
The fixed present invention.
Below by taking the spare joint optimal operation of certain test power grid electric energy-as an example, the present invention is specifically introduced, but answers
It should be appreciated that invention is not limited thereto, it is applied equally to carry out other power grids or power operation quotient electric energy and spare
Joint optimal operation.
As shown in Figure 1, considering the electric system electric energy-of zonal reserve and N-1 verification under electricity market provided by the invention
Spare joint optimal operation method, comprising the following steps:
Step 1: from initial data needed for EMS acquisition power system optimal dispatch, the main topology knot including power grid
Structure, partition information, the method for operation, alternator data, the scheduling scheme of a upper period and load prediction, to form subsequent period
Optimized Operation scheme prepare.In the present embodiment, using IEEE118 node system as test power grid, altogether comprising 118 sections
Point, 186 routes, and 3 subregions are divided into, network topology and the subregion for testing power grid are as shown in Figure 2.
Step 2: determining and surveying according to load prediction, generator information, partition information and the scheduling scheme of a upper period
Try the system of power grid and the minimum essential requirement amount of zonal reserve.It is spare be divided into adjust spare and spinning reserve be in the present embodiment
The minimum essential requirement amount of system and zonal reserve is taken as a certain fixed percentage of load.Wherein, spare consideration system is adjusted most
Small demandIt is taken as the 2% of the whole network total load;Spinning reserve is divided into system minimum essential requirement amountWith subregion minimum essential requirement amountTake the 8% of the whole network total load and the minimum value of both the whole network maximum generation unit installed capacitys;It is taken as each subregion
The 8% of load.The spare minimum of predicted load, the installed capacity of maximum generation unit and the system and subregion of testing power grid needs
The amount of asking, as shown in table 1.
1. 118 node test network system of table, zonal reserve minimum essential requirement amount
Step 3: electric energy and the minimum objective function of spare total cost (referring to formula 1) to be bought, establish and consider to divide
The spare combined optimization model of the spare electric energy-in area, including the constraint of power balance equation (referring to formula 2), generated output power
(referring to formula 3~4), generator climbing rate constrain (referring to formula 5), spare climbing rate constrains (referring to formula 6), system reserve
Minimum essential requirement amount constrains (referring to formula 7), zonal reserve minimum essential requirement amount constraint (referring to formula 8) and line transmission capacity-constrained
(referring to formula 9).In the present embodiment, generating set 54 is shared, wherein 9 are AGC unit, while providing each AGC unit
AGC adjust the upper limit be installed capacity 95%, AGC adjusting lower limit be the 5% of installed capacity, i.e. Aimax=0.95Pimax,Aimin
=0.05Pimax;Scheduling slot length T is set as 15 minutes, adjusts spare response time t1It is set as 5 minutes, spinning reserve is rung
T between seasonable2It is set as 10 minutes;The climbing rate of each generating set up and down is equal, i.e.,
Step 4: setting N-1 contingency set, mainly includes the interconnection and each subregion of each by stages in the present embodiment
N-1 failure occurs for interior important generating set.In test power grid, the interconnection of each by stages totally 12;Weight in each subregion
Generating set is wanted to refer to the maximum generating set of upper scheduling slot power output in the subregion, according on each subregion of EMS data
The maximum generating set of one scheduling slot power output.After determining N-1 contingency set, by the N-1 constraint condition of forecast accident (referring to
Formula 10~14) it adds in above-mentioned Optimized model, it is formed and considers that the electric system electric energy-of zonal reserve and N-1 constraint is spare
Joint optimal operation model.
Step 5: solving above-mentioned Optimal Operation Model using Matlab and Cplex, the initial schedule side for meeting constraint is obtained
Case to get arrive Pi、And RiInitial optimal value.
Step 6: the N-1 for carrying out each subregion internal transmission line to initial schedule scheme is verified.In test power grid, each point
Area's internal transmission line totally 174 (wherein including the transformer for being expressed as route).Transmission line inside each subregion is carried out one by one
N-1 verification continues to verify next transmission lines if certain transmission lines meets N-1 verification;If conditions are not met, then by the biography
The N-1 check formula (referring to formula 15) of defeated line is added in Optimal Operation Model as constraint condition, obtains new optimization tune
Degree model simultaneously solves and obtains new scheduling scheme, repeats above-mentioned verification step (by will be unverified to new scheduling scheme
The corresponding check formula of transmission line add up in Optimal Operation Model obtained by step 4 so that under new scheduling scheme
Therefore the transmission line of verification, can only need to continue to verify to the transmission line not verified under new scheduling scheme by verification), directly
N-1 verification to all transmission lines passes through, and scheduling scheme at this time is the Optimized Operation scheme of subsequent time.
Eventually by Matlab and Cplex software, the Optimized Operation side for obtaining meeting zonal reserve and N-1 verification is solved
Case, and the electric energy bought and minimum 897814.84 yuan of spare expense, specifically, buying electric energy, adjusting spare and rotation
Spare expense is as shown in table 2.
Every buying expenses of 2. final optimization pass scheduling scheme of table
According to optimum results, electric energy that each subregion should be bought, to adjust spare and spinning reserve capacity as shown in table 3.
The final optimum results of each subregion of table 3
Table 3 and table 1 are compared it is found that finally obtained Optimized Operation scheme can satisfy workload demand, while meet complete
The spare minimum essential requirement amount of net and each subregion.Therefore, which is meeting zonal reserve requirement, N-1 verification
It on the basis of equal security constraints, realizes that economy is optimal, is conducive to distributing rationally for resource.
Step 7: finally obtained Optimized Operation scheme is returned to EMS, reference is provided for the dispatching of power netwoks of subsequent period.
Claims (7)
1. considering electric system electric energy-spare joint optimal operation method of zonal reserve and N-1 verification, it is characterised in that: packet
Include following steps:
Step 1: determining each subregion in the system reserve minimum essential requirement amount and the regional power grid of next scheduling slot regional power grid
Zonal reserve minimum essential requirement amount;
Step 2: the electric energy and the minimum objective function of spare total cost bought with regional power grid are established and consider zonal reserve demand
The spare combined optimization model of electric energy-;
Step 3: the setting initial contingency set of N-1, and added the N-1 security constraint of initial forecast accident as constraint condition
Into step 2 gained Optimized model, the electric system electric energy-spare combined optimization tune for considering zonal reserve and N-1 constraint is formed
Model is spent, obtains initial schedule scheme by solving the Optimal Operation Model;The initial contingency set of N-1 includes subregion connection
The N-1 failure of winding thread N-1 failure and each subregion in upper scheduling slot power output maximum generation unit;
Step 4: N-1 verification is carried out to the transmission line inside each subregion according to scheduling scheme one by one:
If the verification of certain transmission lines passes through, continue to verify next transmission lines, if verification does not pass through, by the transmission
The N-1 check formula of line is added in step 3 gained Optimal Operation Model as constraint condition, obtains new Optimized Operation mould
Type obtains new scheduling scheme by solving the Optimal Operation Model, is continued to verify next transmission according to new scheduling scheme
Line;Above-mentioned N-1 verification is repeated, is completed until the N-1 of all transmission lines is verified, then finally obtained scheduling scheme is next tune
Spend the Optimized Operation scheme of period;
Constraint condition in the step 3 includes:
1) route N-1 security constraint
Wherein,The active power envisioned after route N-1 failure occurs on kth route for m-th,For kth route
Maximum transfer capacity,To envision the power transfer distribution being calculated under conditions of route N-1 failure occurs at m-th
Factor matrix HmThe i-th column element of row k, PiFor the plan power output of i-th generating set, DiIndicate the load of i-th of node, Nd
For the number of nodes of regional power grid, NgFor the sum of the schedulable unit of regional power grid;
2) generator N-1 security constraint
And
Wherein, RiFor the purchase volume of i-th generating set spinning reserve capacity,Spare appearance is adjusted up for i-th AGC unit
The purchase volume of amount,Adjust the purchase volume of spare capacity downwards for i-th AGC unit,Spare minimum essential requirement is adjusted for system
Amount,For subregion spinning reserve minimum essential requirement amount, NaFor the sum of regional power grid AGC unit;
Meet simultaneously:
And
Wherein,Indicate the spinning reserve that i-th generating set should recall after n-th of anticipation generator N-1 failure occurs, Ln
Active power shortage caused by after n-th of anticipation generator N-1 failure generation of expression;
Also meet simultaneously:
Wherein,The active power envisioned after generator N-1 failure occurs on kth route for n-th, HkiFor power transfer point
The i-th column element of row k of cloth factor matrix H.
2. considering electric system electric energy-spare joint optimal operation side of zonal reserve and N-1 verification as described in claim 1
Method, it is characterised in that: the system reserve minimum essential requirement amount includes that system adjusts spare minimum essential requirement amountAnd system rotation
Spare minimum essential requirement amountZonal reserve minimum essential requirement amount includes subregion spinning reserve minimum essential requirement amount It is taken as region
The a% of power grid total load;It is taken as both b% and the regional power grid maximum generation unit installed capacity of regional power grid total load
Smaller value;It is taken as the c% of corresponding subregion z load.
3. considering electric system electric energy-spare joint optimal operation side of zonal reserve and N-1 verification as claimed in claim 2
Method, it is characterised in that: the value range of described a, b, c are respectively a=2~5, b=8~10, c=8~10.
4. considering electric system electric energy-spare joint optimal operation side of zonal reserve and N-1 verification as described in claim 1
Method, it is characterised in that: the minimum essential requirement amount of the system reserve and zonal reserve is obtained by off-line simulation.
5. considering electric system electric energy-spare joint optimal operation side of zonal reserve and N-1 verification as described in claim 1
Method, it is characterised in that: the objective function indicates are as follows:
Wherein, PiIt contributes for the plan of i-th generating set,The purchase of spare capacity is adjusted up for i-th AGC unit
Amount,Adjust the purchase volume of spare capacity, R downwards for i-th AGC unitiFor the purchase of i-th generating set spinning reserve capacity
The amount of buying, αi、βiAnd γiIt respectively indicates i-th generating set electric energy, adjust spare and spinning reserve quotation, NgFor regional power grid
The sum of schedulable generating set, NaFor the sum of regional power grid AGC unit.
6. considering electric system electric energy-spare joint optimal operation side of zonal reserve and N-1 verification as described in claim 1
Method, it is characterised in that: the spare combined optimization model of electric energy-for considering zonal reserve demand includes following constraint condition:
1) power balance equation
Wherein, PiFor the plan power output of i-th generating set, DiIndicate the load of i-th of node, NgIt is schedulable for regional power grid
The sum of generating set, NdFor the number of nodes of regional power grid;
2) generated output power constrains
For all AGC units:
AndMeanwhileAnd
Wherein,The purchase volume of spare capacity is adjusted up for i-th AGC unit,It is adjusted downwards for i-th AGC unit standby
With the purchase volume of capacity, RiFor the purchase volume of i-th generating set spinning reserve capacity, PimaxFor the maximum of i-th generating set
Active power output, PiminFor the minimum technology power output of i-th generating set, AimaxThe upper limit is adjusted for the AGC of i-th generating set,
AiminLower limit is adjusted for the AGC of i-th generating set;
For all schedulable non-AGC units:
Pi+Ri≤Pimax
3) generator climbing rate constrains
-T·ri -≤Pi-P0i≤T·ri +
Wherein, P0iFor the active power output value of a scheduling slot on i-th generating set of regional power grid, ri +It is regional power grid i-th
The ratio of slope of climbing of generating set, ri -For the downward climbing rate of i-th generating set of regional power grid, T is scheduling slot length;
4) spare climbing rate constraint
And 0≤Ri≤t2·ri +
Wherein, t1To adjust spare response time, t2For the response time of spinning reserve;
5) system reserve minimum essential requirement amount constrains
And
Wherein,Spare minimum essential requirement amount is adjusted for system,For system spinning reserve minimum essential requirement amount, NaFor regional power grid
The sum of AGC unit;
6) zonal reserve minimum essential requirement amount constrains
For each subregion z, have:
Wherein,Indicate the number of units of schedulable generating set in subregion z,For subregion spinning reserve minimum essential requirement amount;
7) line transmission capacity-constrained
For routes all in regional power grid:
Wherein,For the active power on kth route,For the maximum transfer capacity of kth route, HkiTurn for power
Move the i-th column element of row k of distribution factor matrix H.
7. considering electric system electric energy-spare joint optimal operation side of zonal reserve and N-1 verification as described in claim 1
Method, it is characterised in that: the N-1 check formula are as follows:
Wherein,The active power after N-1 failure on kth article route occurs for the u articles subregion internal transmission line,For kth
The maximum transfer capacity of route,It is calculated under conditions of the u articles subregion internal transmission line N-1 failure occurs
Power shifts distribution factor matrix huThe i-th column element of row k, PiFor the plan power output of i-th generating set, DiIndicate i-th of section
The load of point, NdFor the number of nodes of regional power grid, NgFor the sum of the schedulable unit of regional power grid.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
CN104362617A (en) * | 2014-10-20 | 2015-02-18 | 华东电网有限公司 | Distribution method for reserve capacity of regional power grid control zones |
CN105720575A (en) * | 2016-03-07 | 2016-06-29 | 广东电网有限责任公司电力调度控制中心 | Partition optimization method for power system operation reserves of considering interval support and section constraints |
-
2016
- 2016-09-06 CN CN201610805004.6A patent/CN106384162B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
CN104362617A (en) * | 2014-10-20 | 2015-02-18 | 华东电网有限公司 | Distribution method for reserve capacity of regional power grid control zones |
CN105720575A (en) * | 2016-03-07 | 2016-06-29 | 广东电网有限责任公司电力调度控制中心 | Partition optimization method for power system operation reserves of considering interval support and section constraints |
Non-Patent Citations (1)
Title |
---|
考虑 N-1 安全和抽水蓄能机组运行约束的多目标有功优化调度研究;黄庶;《中国优秀硕士学位论文全文数据库工程科技II辑》;20151215(第12期);第24、26页 |
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