CN106208160A - Dispatching method based on the sale of electricity company region within the jurisdiction power distribution network that second order cone optimizes - Google Patents
Dispatching method based on the sale of electricity company region within the jurisdiction power distribution network that second order cone optimizes Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention discloses the dispatching method of a kind of sale of electricity company region within the jurisdiction power distribution network optimized based on second order cone, including: step 10) sets up sale of electricity company region within the jurisdiction power distribution network Optimal Operation Model；Step 20) power distribution network Optimal Operation Model is converted into second order cone Optimized model；Step 30) second order cone Optimized model is solved, obtain optimal scheduling result；Step 40) utilize step 30) the optimal scheduling result that obtains, in power distribution network administrative to sale of electricity company, each adjustable device carries out optimal scheduling configuration, determines that controlled distribution formula power supply active reactive is exerted oneself, deferrable load, energy storage discharge and recharge, static passive compensation device is idle exerts oneself and regenerative resource is idle exerts oneself.Reactive Power Dispatch is brought in the region within the jurisdiction power distribution network scheduling of sale of electricity company by the method, and trend constraint is carried out convex relaxation processes, makes it possible to accurately solve by the method for second order cone optimization, effectively reduces sale of electricity company operating cost.
Description
Technical field
The invention belongs to power distribution network running optimizatin field, relate to a kind of sale of electricity company region within the jurisdiction optimized based on second order cone
The dispatching method of power distribution network.
Background technology
Under the Power Market joining, selling separation, sale of electricity company is faced with various uncertain problem, especially electricity price
And load fluctuation, and the fast development of distributed power source and extensively access power distribution network, for sale of electricity company economical operation and
The safe operation of power distribution network causes considerable influence.Therefore sale of electricity company is optimized scheduling to reduce fortune for administrative power distribution network
Row cost, and ensure that power system safety and stability operation is particularly important.Gas turbine in distributed power source, fuel cell
Deng output, there is good schedulability.Additionally, sub-load has certain tunable characteristic in power distribution network.Sale of electricity company is in ginseng
Simultaneously with electricity market power purchase can reduce region within the jurisdiction join by distributed power source and deferrable load being optimized scheduling
The operating cost of electrical network.
For the Optimized Operation of sale of electricity company region within the jurisdiction power distribution network under Power Market, Chinese scholars has been carried out
Study widely, but great majority are all for active power dispatch, do not consider the Reactive Power Dispatch of power distribution network, and trend constraint
Deng, lose accurately.And the sale of electricity company Optimal Operation Model considering Reactive Power Dispatch is substantially that MIXED INTEGER non-convex is non-linear
Plan model.The most commercial and optimization software of increasing income is difficult to accurately effectively solve this problem.Accordingly, as selling in electricity market
Electricity main body, sale of electricity company in the urgent need to proposing more comprehensively Optimal Operation Model and more accurate model solution method,
The maximization of number one is realized while ensureing security of system stable operation.
Summary of the invention
Technical problem: embodiments provide a kind of sale of electricity company region within the jurisdiction power distribution network optimized based on second order cone
Dispatching method, Reactive Power Dispatch is brought in the scheduling of sale of electricity company region within the jurisdiction power distribution network by the method, by the trend of power distribution network
Constraint is in view of in scheduling model, and trend constraint is carried out convex relaxation processes makes it possible to carry out by the method for second order cone optimization
Accurately solve, the most effectively reduce sale of electricity company operating cost.
Technical scheme: for solving above-mentioned technical problem, the embodiment of the present invention uses a kind of sale of electricity optimized based on second order cone
The dispatching method of company's region within the jurisdiction power distribution network, this dispatching method comprises the following steps:
Step 10) set up sale of electricity company region within the jurisdiction power distribution network Optimal Operation Model, described model is with sale of electricity company whole day
The minimum optimization aim of operating cost, retrains, directly with trend constraint, the operation constraint of controlled distribution formula power supply, interruptible load
Spatial load forecasting runs constraint, power distribution network runs security constraint, distribution transforming critical point power constraint, storage energy operation retrain, static var compensation
Repay device SVC constraint and renewable energy power generation is constrained to constraints；
Step 20) power distribution network Optimal Operation Model is converted into second order cone Optimized model；
Step 30) second order cone Optimized model is solved, obtain optimal scheduling result；
Step 40) utilize step 30) the optimal scheduling result that obtains, each adjustable device in power distribution network administrative to sale of electricity company
Carry out optimal scheduling configuration, determine controlled distribution formula power supply active reactive exert oneself, deferrable load, energy storage discharge and recharge, static reacance
Compensation device is idle exerts oneself and regenerative resource is idle exerts oneself.
As preference, described step 10) in, shown in optimization aim such as formula (1):
In formula: f is the totle drilling cost that sale of electricity company runs；Δ T is time interval；T is dispatching cycle；ρtFor the t period from electricity
The purchase electricity price in power market；Pg,tFor the t period from the purchase of electricity of electricity market；M is the interior controlled distribution formula power supply accessed of power distribution network
Quantity；biIt it is the cost Monomial coefficient of exerting oneself of i-th controlled distribution formula power supply；ciIt is exerting oneself of i-th controlled distribution formula power supply
Cost constant term coefficient；It is the active power that sends in the t period of i-th controlled distribution formula power supply；N be in power distribution network can in
The quantity of disconnected load user；For the t period for the compensation of interruptible load user's j interruptible load；Can interrupt for jth
Load user is in the load rejection amount of t period；K is the quantity that direct load controls user in power distribution network；For the t period for
Direct load controls user k and accepts the compensation of spatial load forecasting；User is controlled controlled in the t period for kth direct load
Loading.
As preference, described step 10) in, trend retrains as shown in formula (2):
In formula:For the active power on t period branch road ij, k:(j, k) represent the endpoint node of node headed by node j
Set,For the active power on t period branch road jk, rijFor the resistance of branch road ij,For the line current of t period branch road ij,For the active power injection value only at t period node j,For the reactive power on t period branch road ij,For t period branch road
Reactive power on jk, xijFor the reactance of branch road ij,For the reactive power injection value only at t period node j,For the t period
Load active power on node j,For on t period node j connect energy storage charge power,For connecting on t period node j
The energy storage discharge power connect,The active power sent for the controlled distribution formula power supply connected on t period node j；During for t
The photovoltaic active power connected on Duan Jiedian j；For the burden with power amount interrupted on t period node j；For t period node j
The direct load of upper connection controls controlled loading；For the payback load on t period node j；For the t period
The reactive load power of some j；Static passive compensation device for connecting on t period node j compensates power；For the t period
The reactive power that the controlled distribution formula power supply connected on node j sends；For the idle merit of photovoltaic connected on t period node j
Rate；For the load or burden without work amount interrupted on t period node j；For the voltage magnitude of t period node j, Vi tFor t period node i
Voltage magnitude；
Described interruptible load retrains as shown in formula (3):
In formula:Higher limit for jth interruptible load；Power-factor angle for interruptible load；
Described power distribution network runs shown in security constraint such as formula (4):
In formula: Vi minFor node i voltage magnitude lower limit；Vi maxFor the node i voltage magnitude upper limit,For branch road ij electric current width
The value upper limit；
Shown in described distribution transforming critical point power constraint such as formula (5):
In formula:Flow into the active power of this grade of power distribution network from higher level's power transmission network for t period root node,For in regulation and control
The active power exchange upper bound that the heart sets,The active power exchange lower bound set for regulation and control center, Q0 tFor t period root node
The reactive power of this grade of power distribution network is flowed into from higher level's power transmission network,The reactive power exchange lower bound set for regulation and control center,
The reactive power exchange upper bound set for regulation and control center；
Described static passive compensation device SVC retrains as shown in formula (6):
In formula:For the higher limit of static passive compensation device regulating power,For static passive compensation device
The lower limit of regulating power.
As preference, described step 10) in, controlled distribution formula power supply runs constraint and includes that controlled distribution formula power supply is exerted oneself
Bound constraint, controlled distribution formula power supply ramping rate constraints and controlled distribution formula power supply start-off time constraints；
Described controlled distribution formula power supply exerts oneself bound constraint as shown in formula (7):
In formula: Ci,tIt is i-th controlled distribution formula power supply state in the t period, for 0-1 variable；Pi maxBe i-th controlled
Distributed power source is gained merit the output upper limit, Pi minIt is that i-th controlled distribution formula power supply is gained merit output lower limit,It is i-th
The platform controlled distribution formula power supply idle output upper limit,It is i-th controlled distribution formula power supply idle output lower limit；The active power sent for i-th controlled distribution formula power supply of t period,Send out for i-th controlled distribution formula power supply of t period
The reactive power gone out；
Shown in described controlled distribution formula power supply ramping rate constraints such as formula (8):
In formula:It is the active power that sends in the t+1 period of i-th controlled distribution formula power supply；Rup,iBe i-th controlled
The upwards climbing rate limit of distributed power source；Rdown,iIt it is the downward creep speed restriction of i-th controlled distribution formula power supply；
Shown in described controlled distribution formula power supply start-off time constraints such as formula (9):
In formula: Ci,mIt is i-th controlled distribution formula power supply state in the m period, Ci,tIt is that i-th controlled distribution formula power supply exists
The state of t period, Ci,t-1It is i-th controlled distribution formula power supply state in the t-1 period, Ci,nIt is i-th controlled distribution formula power supply
State in the n period；Hop count when m and n all represents a certain, T is dispatching cycle,It is opening of i-th controlled distribution formula power supply
The minimum operation time after machine,It it is minimum idle time after the shutdown of i-th controlled distribution formula power supply.
As preference, described step 10) in, direct load control run constraint include spatial load forecasting time-constrain,
The constraint of spatial load forecasting capacity-constrained, load controllable period of time and payback load constraint；
Shown in described spatial load forecasting time-constrain such as formula (10):
In formula: Xk,tControlling user's the most controlled 0-1 state variable for t period kth direct load, 1 represents controlled
System, 0 represents not controlled；The maximum controllable period of time continuously of user is controlled for kth direct load；T0Represent T dispatching cycle
WithTime intersegmental minima, Xk,lControl user's the most controlled 0-1 state for l period kth direct load to become
Amount, Xk,t-1User's the most controlled 0-1 state variable is controlled for t-1 period kth direct load,Direct for kth
The spatial load forecasting user minimum continuous uncontrolled time；
Shown in described spatial load forecasting capacity-constrained such as formula (11):
In formula:The controlled loading of user is controlled for t period kth direct load,Direct for kth
The control capability upper limit of spatial load forecasting user；
The described load controlled period retrains as shown in formula (12):
In formula: S is the period taking direct load control measure；
Described payback load retrains as shown in formula (13):
In formula:The payback load of user is controlled for t period kth direct load,For kth direct load control
User processed at the controlled-load of t-1 period,User's controlled-load in the t-2 period is controlled for kth direct load,
Controlling user's controlled-load in the t-3 period for kth direct load, α is first coefficient of corresponding period, and β is the corresponding period
The second coefficient, γ is the 3rd coefficient of corresponding period.
As preference, described step 10) in, energy storage device runs constraint and includes capacity of energy storing device constraint and energy storage
Charge-discharge electric power retrains；
Described capacity of energy storing device retrains as shown in formula (14):
In formula,The gross energy of the energy storage for connecting in t period node i,For the energy storage connected in t period node i
Charge power, ηchFor the charge efficiency of energy storage,For the energy storage discharge power connected in t period node i, ηdisPutting for energy storage
Electrical efficiency,The gross energy of the energy storage for connecting in t+1 period node i, Δ T is time interval,For in T period node i
The gross energy of the energy storage connected,For in T period node i connect energy storage charge power,For connecting in T period node i
Energy storage discharge power,It is the gross energy of the energy storage connected in the 1st period node i,For the energy storage connected in node i
Capacity limit value；
Described energy storage charge-discharge electric power retrains as shown in formula (15):
In formula,The charge power upper limit of the energy storage device for connecting in node i,For connecting in t node i
The charged state of energy storage device, for 0-1 variable,Represent that connecting energy storage device in t node i is in charged state,Represent that connecting energy storage device in t node i is not in charged state；For the energy storage device of connection in node i
The discharge power upper limit,For the discharge condition of energy storage device connected in t node i, for 0-1 variable,Represent t
Connect energy storage device in moment node i and be in discharge condition,Represent that connecting energy storage device in t node i is not in
Discharge condition.
As preference, described step 10) in, renewable energy power generation constraint includes that photovoltaic generation runs constraint, photovoltaic
Generator operation retrains as shown in formula (16):
In formula:For on t period node j connect photovoltaic active power,For the photovoltaic that is connected on node j at t
Period gains merit the predictive value exerted oneself；For on t period node j connect photovoltaic reactive power,Idle for corresponding photovoltaic
Exert oneself predictive value；Power-factor angle for photovoltaic.
As preference, described step 20) specifically include following steps:
Carry out convex lax, as shown in formula (17) firstly for trend constraint:
Then introduce shown in new variables such as formula (18) and formula (19):
vi:=| Vi t|2Formula (18)
Trend constraint is converted, as shown in formula (20):
Formula (18) and formula (19) are substituted into formula (17), and do equivalent variations, obtain formula (21):
Beneficial effect: compared with prior art, the embodiment of the present invention has the advantages that
Existing sale of electricity company dispatching method mostly just for electricity market purchase of electricity, distributed power source is meritorious exert oneself and
Deferrable load carries out active power dispatch, does not consider that in power distribution network, reactive power flowing and power flow changing are for system interior joint electricity
The impact of the indexs such as pressure, power factor, can reduce network by the distribution of reactive power in the administrative power distribution network of adjustment simultaneously and damage
Consumption, reduces the operating cost of sale of electricity company further, promotes the economic benefit of sale of electricity company.The embodiment of the present invention is from sale of electricity company
Economy and the safety perspective of scheduling set out, and the trend of power distribution network retrained and the idle control constraints of each controlled means is received
Enter in sale of electricity company region within the jurisdiction power distribution network scheduling model.It is that MIXED INTEGER non-convex Non-Linear Programming is asked in view of this model
Topic, the most commercial and optimization software of increasing income is difficult to accurately effectively solve this problem, and the embodiment of the present invention is managed based on second order cone optimization
Opinion, is translated into the second order cone Optimized model being easy to solve, it is achieved accurately solving of model, and obtained by model solution
In optimal scheduling result configures sale of electricity company region within the jurisdiction power distribution network, distributed power source active reactive is exerted oneself, deferrable load, storage
Can discharge and recharge, SVC is idle to exert oneself and the idle of regenerative resource is exerted oneself, and is ensureing the same of regional distribution network safe and stable operation
Shi Shixian sale of electricity company operating cost minimizes.The embodiment of the present invention compares traditional sale of electricity company dispatching method more fully,
Rationally, accurately, and in terms of reducing sale of electricity company operating cost, effect is more preferable, for the economy of sale of electricity company under Power Market
Safe operation provides certain basis.
Accompanying drawing explanation
Fig. 1 is the method flow schematic diagram of the present invention.
Fig. 2 is amended IEEE33 distribution system.
Fig. 3 is day preload and photovoltaic curve.
Fig. 4 is that controlled distribution formula power supply is exerted oneself.
Fig. 5 is for implementing load variations curve before and after direct load controls.
Fig. 6 is sale of electricity company purchase of electricity change curve.
Fig. 7 is the maximum voltage deviation in regional distribution network each moment.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and case study on implementation
The present invention is in depth described in detail.Should be appreciated that and described herein be embodied as case only in order to explain this
Bright, it is not used to limit invention.
Fig. 1 is the method flow schematic diagram of the embodiment of the present invention, describes the method basic step of the present invention.
The embodiment of the present invention uses amended IEEE33 Node power distribution system to describe proposed sale of electricity company in detail
Region within the jurisdiction power distribution network dispatching method.As shown in Figure 2, this system is radial networks, and working voltage grade is 12.66kV,
Total burden with power is 3635kW, and total load or burden without work is 2265kvar.Node 22,25 in system accesses SVC, and node 16,33 connects
Entering energy storage device, node 24,25 is connected to interruptible load and DLC respectively, and node 18,31 accesses photovoltaic system, node 7 and node
21 access two controlled distribution formula power supplys.
As it is shown in figure 1, the scheduling of the sale of electricity company region within the jurisdiction power distribution network optimized based on second order cone of the embodiment of the present invention
Method, comprises the following steps:
Step 10) set up sale of electricity company region within the jurisdiction power distribution network Optimal Operation Model, described model is with sale of electricity company whole day
The minimum optimization aim of operating cost, with trend constraint, controlled distribution formula power supply run constraint, interruptible load (in literary composition be called for short:
IL) constraint, direct load control (to be called for short in literary composition: DLC) run constraint, power distribution network runs security constraint, distribution transforming critical point power about
The constraint of bundle, storage energy operation, static passive compensation device SVC constraint and renewable energy power generation are constrained to constraints.
Step 20) power distribution network Optimal Operation Model is converted into second order cone Optimized model.
Step 30) second order cone Optimized model is solved, obtain optimal scheduling result.
Step 40) utilize step 30) the optimal scheduling result that obtains, each adjustable device in power distribution network administrative to sale of electricity company
Carry out optimal scheduling configuration, determine controlled distribution formula power supply active reactive exert oneself, deferrable load, energy storage discharge and recharge, static reacance
Compensation device (is called for short in literary composition: SVC) idle exert oneself and regenerative resource is idle exerts oneself.
In above-described embodiment, described step 10) in, shown in optimization aim such as formula (1):
In formula: f is the totle drilling cost that sale of electricity company runs；Δ T is time interval, and as preference, Δ T can be set to 15min；
T is dispatching cycle；ρtFor the t period from the purchase electricity price of electricity market；Pg,tFor the t period from the purchase of electricity of electricity market；M is for joining
The controlled distribution formula number of power sources accessed in electrical network；biIt it is the cost Monomial coefficient of exerting oneself of i-th controlled distribution formula power supply；ci
It it is the cost constant term coefficient of exerting oneself of i-th controlled distribution formula power supply；It is that i-th controlled distribution formula power supply was sent out in the t period
The active power gone out；N is the quantity of interruptible load user in power distribution network；For the t period in interruptible load user j
The compensation of disconnected load；For jth interruptible load user in the load rejection amount of t period；K is direct load in power distribution network
Control the quantity of user；For the t period, user k is controlled for direct load and accept the compensation of spatial load forecasting；For kth
Direct load controls user in t period controlled loading.
Trend retrains as shown in formula (2):
In formula:For the active power on t period branch road ij, k:(j, k) represent the endpoint node of node headed by node j
Set,For the active power on t period branch road jk, rijFor the resistance of branch road ij,For the line current of t period branch road ij,For the active power injection value only at t period node j,For the reactive power on t period branch road ij,For t period branch road
Reactive power on jk, xijFor the reactance of branch road ij,For the reactive power injection value only at t period node j,For the t period
Load active power on node j,For on t period node j connect energy storage charge power,For connecting on t period node j
The energy storage discharge power connect,The active power sent for the controlled distribution formula power supply connected on t period node j；During for t
The photovoltaic active power connected on Duan Jiedian j；For the burden with power amount interrupted on t period node j；For t period node j
The direct load of upper connection controls controlled loading；For the payback load on t period node j；For the t period
The reactive load power of some j；Static passive compensation device for connecting on t period node j compensates power；For the t period
The reactive power that the controlled distribution formula power supply connected on node j sends；For the idle merit of photovoltaic connected on t period node j
Rate；For the load or burden without work amount interrupted on t period node j；For the voltage magnitude of t period node j, Vi tFor t period node i
Voltage magnitude；
Described interruptible load retrains as shown in formula (3):
In formula:Higher limit for jth interruptible load；Power-factor angle for interruptible load；
Described power distribution network runs shown in security constraint such as formula (4):
In formula: Vi minFor node i voltage magnitude lower limit；Vi maxFor the node i voltage magnitude upper limit,For branch road ij electric current width
The value upper limit.As preference, node voltage amplitude lower limit is set to 0.9p.u., and the node voltage amplitude upper limit is set to 1.1p.u., i.e.
The voltage deviation threshold value of system safety operation is 0.1p.u..
Shown in described distribution transforming critical point power constraint such as formula (5):
In formula:Flow into the active power of this grade of power distribution network from higher level's power transmission network for t period root node,For in regulation and control
The active power exchange upper bound that the heart sets,The active power exchange lower bound set for regulation and control center, Q0 tFor t period root node
The reactive power of this grade of power distribution network is flowed into from higher level's power transmission network,The reactive power exchange lower bound set for regulation and control center,
The reactive power exchange upper bound set for regulation and control center.This constraint is to be controlled within the specific limits by distribution transforming critical point power, purpose
It is to suppress the power swing of active power distribution network to adversely affect for power transmission network.
Described static passive compensation device SVC retrains as shown in formula (6):
In formula:For the higher limit of static passive compensation device regulating power,For static passive compensation device
The lower limit of regulating power.
In step 10) in, controlled distribution formula power supply run constraint include controlled distribution formula power supply exert oneself bound constraint, can
Control distributed power source ramping rate constraints and controlled distribution formula power supply start-off time constraints.Specifically:
Described controlled distribution formula power supply exerts oneself bound constraint as shown in formula (7):
In formula: Ci,tIt is i-th controlled distribution formula power supply state in the t period, for 0-1 variable；Pi maxBe i-th controlled
Distributed power source is gained merit the output upper limit, Pi minIt is that i-th controlled distribution formula power supply is gained merit output lower limit,It is i-th
The platform controlled distribution formula power supply idle output upper limit,It is i-th controlled distribution formula power supply idle output lower limit；The active power sent for i-th controlled distribution formula power supply of t period,Send out for i-th controlled distribution formula power supply of t period
The reactive power gone out.
Shown in described controlled distribution formula power supply ramping rate constraints such as formula (8):
In formula:It is the active power that sends in the t+1 period of i-th controlled distribution formula power supply；Rup,iBe i-th controlled
The upwards climbing rate limit of distributed power source；Rdown,iIt it is the downward creep speed restriction of i-th controlled distribution formula power supply.
Shown in described controlled distribution formula power supply start-off time constraints such as formula (9):
In formula: Ci,mIt is i-th controlled distribution formula power supply state in the m period, Ci,tIt is that i-th controlled distribution formula power supply exists
The state of t period, Ci,t-1It is i-th controlled distribution formula power supply state in the t-1 period, Ci,nIt is i-th controlled distribution formula power supply
State in the n period；Hop count when m and n all represents a certain, T is dispatching cycle,It is opening of i-th controlled distribution formula power supply
The minimum operation time after machine,It it is minimum idle time after the shutdown of i-th controlled distribution formula power supply.
In step 10) in, direct load controls to run constraint and includes spatial load forecasting time-constrain, spatial load forecasting capacity about
The constraint of bundle, load controllable period of time and payback load constraint.
Shown in described spatial load forecasting time-constrain such as formula (10):
In formula: Xk,tControlling user's the most controlled 0-1 state variable for t period kth direct load, 1 represents controlled
System, 0 represents not controlled；The maximum controllable period of time continuously of user is controlled for kth direct load；T0Represent T dispatching cycle
WithTime intersegmental minima, Xk,lControl user's the most controlled 0-1 state for l period kth direct load to become
Amount, Xk,t-1User's the most controlled 0-1 state variable is controlled for t-1 period kth direct load,Direct for kth
The spatial load forecasting user minimum continuous uncontrolled time.For controlled-load, in order to ensure satisfaction and the comfort level of user, it is impossible to
It is controlled for a long time, again can not control it within the short time after finishing control, it is therefore necessary to it
Apply the longest continuous controllable period of time and the continuous uncontrolled time-constrain of minimum.
Shown in described spatial load forecasting capacity-constrained such as formula (11):
In formula:The controlled loading of user is controlled for t period kth direct load,Direct for kth
The control capability upper limit of spatial load forecasting user.
The described load controlled period retrains as shown in formula (12):
In formula: S is the period taking direct load control measure.DLC is the measure taked when system peak, therefore
The constraint of controlled period need to be added, within this period, just can take direct load control.
Direct load controls to be mainly directed towards the load with hot energy storage capacity, generally air-conditioning and water heater, is bearing
After lotus controls, in order to make environment etc. recover controlled front state, user can increase electricity consumption after controlling to terminate, and is therefore carrying out
When direct load controls Optimization Modeling, need to consider the impact of payback load.Described payback load retrains as shown in formula (13):
In formula:The payback load of user is controlled for t period kth direct load,For kth direct load control
User processed at the controlled-load of t-1 period,User's controlled-load in the t-2 period is controlled for kth direct load,
Controlling user's controlled-load in the t-3 period for kth direct load, α is first coefficient of corresponding period, and β is the corresponding period
The second coefficient, γ is the 3rd coefficient of corresponding period.
In step 10) in, energy storage device runs constraint and includes that capacity of energy storing device constraint and energy storage charge-discharge electric power retrain.
Described capacity of energy storing device retrains as shown in formula (14):
In formula,The gross energy of the energy storage for connecting in t period node i,For the energy storage connected in t period node i
Charge power, ηchFor the charge efficiency of energy storage,For the energy storage discharge power connected in t period node i, ηdisFor energy storage
Discharging efficiency,The gross energy of the energy storage for connecting in t+1 period node i, Δ T is time interval,For T period node i
The gross energy of the energy storage of upper connection,For in T period node i connect energy storage charge power,For connecting in T period node i
The energy storage discharge power connect,It is the gross energy of the energy storage connected in the 1st period node i,For the storage connected in node i
Can capacity limit value.In order to ensure that energy storage has identical control characteristic within new dispatching cycle, beginning this week of energy storage is begun
Capacity Ebati,1Initial E with next cyclebati,T+1Capacity sets equal, for ensureing work efficiency and the service life of energy storage,
Set its electricity range 20%～90%.
Described energy storage charge-discharge electric power retrains as shown in formula (15):
In formula,The charge power upper limit of the energy storage device for connecting in node i,For connecting in t node i
The charged state of energy storage device, for 0-1 variable,Represent that connecting energy storage device in t node i is in charged state,Represent that connecting energy storage device in t node i is not in charged state；For the energy storage device of connection in node i
The discharge power upper limit,For the discharge condition of energy storage device connected in t node i, for 0-1 variable,Represent t
Connect energy storage device in moment node i and be in discharge condition,Represent that connecting energy storage device in t node i is not in
Discharge condition.This constraint can guarantee that energy storage device will not produce the infeasible situation of physics not only charged simultaneously but also discharge.
In step 10) in, renewable energy power generation is constrained to photovoltaic generation and runs constraint, and photovoltaic generation runs constraint such as formula
(16) shown in:
In formula:For on t period node j connect photovoltaic active power,For the photovoltaic that is connected on node j at t
Period gains merit the predictive value exerted oneself；For on t period node j connect photovoltaic reactive power,Idle for corresponding photovoltaic
Exert oneself predictive value；Power-factor angle for photovoltaic.
In above-mentioned sale of electricity company region within the jurisdiction power distribution network Optimal Operation Model, trend constraint is non-linear, non-convex, gives
Solving of model brings a difficult problem, the most in embodiments of the present invention, trend constraint is carried out cone and converts, make scheduling model convert
The second order cone optimization problem solved for convenience.Step 20) specifically include following steps:
Carry out convex lax, as shown in formula (17) firstly for trend constraint:
Then introduce shown in new variables such as formula (18) and formula (19):
vi:=| Vi t|2Formula (18)
Trend constraint is converted, as shown in formula (20):
Formula (18) and formula (19) are substituted into formula (17), and do equivalent variations, obtain formula (21):
After above-mentioned process, scheduling model is one already when not considering the constraint of the variable such as distributed power source, energy storage
Individual second order cone optimization problem, after adding integer variable, owing to having carried out convexification by the constraint of this non-convex of trend, it is also possible to
Utilize ripe business software, such as Cplex, Mosek etc., it is ensured that the computational efficiency of solution and optimality.
The present invention utilizes optimal scheduling result, and in power distribution network administrative to sale of electricity company, each adjustable device carries out optimal scheduling and joins
Putting, determine that controlled distribution formula power supply active reactive is exerted oneself, deferrable load, energy storage discharge and recharge, SVC is idle to exert oneself and renewable energy
The operation plan that source is idle exerts oneself, minimum ensureing that regional distribution network safe and stable operation realizes sale of electricity company operating cost simultaneously
Change.The present invention adds reactive power scheduling model in the Optimal Operation Model of sale of electricity company region within the jurisdiction power distribution network, comprehensively
Consider that power distribution network safe operation retrains, and introduce the nonconvex property of second order cone optimum theory solution scheduling model, accurately solve sale of electricity
Company's scheduling model, effectively reduces sale of electricity company operating cost, it is achieved sale of electricity company runs the maximization of income.
Load data, according to daily load curve, is expanded by the embodiment of the present invention, will load in primary standard example
As the value in moment a certain on load curve, the value in other moment calculates the most accordingly.Load curve and photovoltaic generation a few days ago
Power curve is as it is shown on figure 3, primary standard example is corresponding to load data during 15:00.
The present embodiment utilizes Mosek algorithm to unwrap under Matlab environment and sends out the region within the jurisdiction distribution network optimization of sale of electricity company above-mentioned
Change scheduling model, optimize controlled distribution formula power supply is exerted oneself as shown in Figure 4.Before and after the DLC being connected on node 24 implements, load becomes
Change curve as it is shown in figure 5, sale of electricity company purchase of electricity change curve as shown in Figure 6.For interruptible load, its Optimized Operation result
For: interrupt within the 14:30-16:00 time period.In Fig. 5 and Fig. 6, before optimization, refer to that the method not carrying out this patent carries out excellent
Situation before change.The situation after using the method for this patent to be optimized is referred to after optimization.
The distributed power source in sale of electricity company region within the jurisdiction power distribution network, deferrable load, storage is configured according to above-mentioned scheduling result
Can, and the adjustable device such as SVC, obtaining sale of electricity company operating cost is 2384 $.Operating cost before sale of electricity company optimizes is
2418 $, and if only consider the active power dispatch of sale of electricity company region within the jurisdiction power distribution network, then operating cost is 2395 $.Relatively above knot
Really, it can be seen that using sale of electricity company region within the jurisdiction power distribution network Optimized model proposed by the invention, sale of electricity company always runs into
This minimum, economical operation benefit is best.
In above-described embodiment, after using the method for the present invention to be optimized scheduling, obtain each moment regional distribution network
Big voltage deviation is as shown in Figure 7.As can be seen from Figure 7: maximum voltage deviation is less than 0.09p.u..Any time regional distribution network
Voltage deviation all in secure threshold.The dispatching method that this explanation embodiment of the present invention uses runs in reduction sale of electricity company
While Ben, also ensure that the safe and stable operation of region within the jurisdiction power distribution network.As can be seen here, the base that the embodiment of the present invention is proposed
In the sale of electricity company region within the jurisdiction power distribution network dispatching method that second order cone optimizes, bring idle work optimization model into sale of electricity company administrative
In regional distribution network scheduling model, by the active reactive optimization to adjustable device such as deferrable load and controlled distribution formula power supplys
Scheduling, can the most effectively reduce the operating cost of sale of electricity company, while ensureing regional distribution network safe and stable operation
Realize the maximization of sale of electricity company on-road efficiency.
Claims (8)
1. the dispatching method of the sale of electricity company region within the jurisdiction power distribution network optimized based on second order cone, it is characterised in that this scheduling
Method comprises the following steps:
Step 10) set up sale of electricity company region within the jurisdiction power distribution network Optimal Operation Model, described model is with the 24 hour operation of sale of electricity company
The minimum optimization aim of cost, runs constraint, interruptible load constraint, direct load with trend constraint, controlled distribution formula power supply
Control to run constraint, power distribution network runs security constraint, distribution transforming critical point power constraint, storage energy operation retrain, static reactive dress
Put SVC constraint and renewable energy power generation is constrained to constraints；
Step 20) power distribution network Optimal Operation Model is converted into second order cone Optimized model；
Step 30) second order cone Optimized model is solved, obtain optimal scheduling result；
Step 40) utilize step 30) the optimal scheduling result that obtains, in power distribution network administrative to sale of electricity company, each adjustable device is carried out
Optimal scheduling configure, determine controlled distribution formula power supply active reactive exert oneself, deferrable load, energy storage discharge and recharge, static reactive
Device is idle exerts oneself and regenerative resource is idle exerts oneself.
The dispatching method of the sale of electricity company region within the jurisdiction power distribution network optimized based on second order cone the most according to claim 1, its
It is characterised by, described step 10) in, shown in optimization aim such as formula (1):
In formula: f is the totle drilling cost that sale of electricity company runs；Δ T is time interval；T is dispatching cycle；ρtFor the t period from electricity market
Purchase electricity price；Pg,tFor the t period from the purchase of electricity of electricity market；M is the interior controlled distribution formula number of power sources accessed of power distribution network；
biIt it is the cost Monomial coefficient of exerting oneself of i-th controlled distribution formula power supply；ciIt it is the cost of exerting oneself of i-th controlled distribution formula power supply
Constant term coefficient；It is the active power that sends in the t period of i-th controlled distribution formula power supply；N is can to interrupt bearing in power distribution network
The quantity of lotus user；For the t period for the compensation of interruptible load user's j interruptible load；For jth interruptible load
User is in the load rejection amount of t period；K is the quantity that direct load controls user in power distribution network；For the t period for directly
Spatial load forecasting user k accepts the compensation of spatial load forecasting；User is controlled at t period controlled load for kth direct load
Amount.
The sale of electricity company region within the jurisdiction power distribution network dispatching method optimized based on second order cone the most according to claim 1, it is special
Levy and be, described step 10) in, trend retrains as shown in formula (2):
In formula:For the active power on t period branch road ij, k:(j, k) represent the end segment point set of node headed by node j
Close,For the active power on t period branch road jk, rijFor the resistance of branch road ij,For the line current of t period branch road ij,
For the active power injection value only at t period node j,For the reactive power on t period branch road ij,For t period branch road jk
On reactive power, xijFor the reactance of branch road ij,For the reactive power injection value only at t period node j,For the t period
Load active power on some j,For on t period node j connect energy storage charge power,For connecting on t period node j
Energy storage discharge power,The active power sent for the controlled distribution formula power supply connected on t period node j；For the t period
The photovoltaic active power connected on node j；For the burden with power amount interrupted on t period node j；For on t period node j
The direct load connected controls controlled loading；For the payback load on t period node j；For t period node j
Reactive load power；Static passive compensation device for connecting on t period node j compensates power；For the t period
The reactive power that the controlled distribution formula power supply connected on some j sends；For the photovoltaic reactive power connected on t period node j；For the load or burden without work amount interrupted on t period node j；For the voltage magnitude of t period node j,Electricity for t period node i
Pressure amplitude value；
Described interruptible load retrains as shown in formula (3):
In formula:Higher limit for jth interruptible load；Power-factor angle for interruptible load；
Described power distribution network runs shown in security constraint such as formula (4):
In formula: Vi minFor node i voltage magnitude lower limit；Vi maxFor the node i voltage magnitude upper limit,For on branch road ij current amplitude
Limit；
Shown in described distribution transforming critical point power constraint such as formula (5):
In formula:Flow into the active power of this grade of power distribution network from higher level's power transmission network for t period root node,Set for regulation and control center
The fixed active power exchange upper bound,The active power exchange lower bound set for regulation and control center, Q0 tFor t period root node from upper
Level power transmission network flows into the reactive power of this grade of power distribution network,The reactive power exchange lower bound set for regulation and control center,For adjusting
The reactive power exchange upper bound that control center sets；
Described static passive compensation device SVC retrains as shown in formula (6):
In formula:For the higher limit of static passive compensation device regulating power,Adjustable for static passive compensation device
The lower limit of joint power.
The sale of electricity company region within the jurisdiction power distribution network dispatching method optimized based on second order cone the most according to claim 1, it is special
Levy and be, described step 10) in, controlled distribution formula power supply run constraint include controlled distribution formula power supply exert oneself bound constraint,
Controlled distribution formula power supply ramping rate constraints and controlled distribution formula power supply start-off time constraints；
Described controlled distribution formula power supply exerts oneself bound constraint as shown in formula (7):
In formula: Ci,tIt is i-th controlled distribution formula power supply state in the t period, for 0-1 variable；Pi maxIt is i-th controlled distribution formula
Power supply is gained merit the output upper limit, Pi minIt is that i-th controlled distribution formula power supply is gained merit output lower limit,Be i-th controlled
The output upper limit that distributed power source is idle,It is i-th controlled distribution formula power supply idle output lower limit；During for t
The active power that i-th controlled distribution formula power supply of section sends,For i-th controlled distribution formula power supply of t period send idle
Power；
Shown in described controlled distribution formula power supply ramping rate constraints such as formula (8):
In formula:It is the active power that sends in the t+1 period of i-th controlled distribution formula power supply；Rup,iIt is i-th controlled distribution
The upwards climbing rate limit of formula power supply；Rdown,iIt it is the downward creep speed restriction of i-th controlled distribution formula power supply；
Shown in described controlled distribution formula power supply start-off time constraints such as formula (9):
In formula: Ci,mIt is i-th controlled distribution formula power supply state in the m period, Ci,tIt is that i-th controlled distribution formula power supply is when t
The state of section, Ci,t-1It is i-th controlled distribution formula power supply state in the t-1 period, Ci,nIt is that i-th controlled distribution formula power supply is at n
The state of period；Hop count when m and n all represents a certain, T is dispatching cycle,After being the start of i-th controlled distribution formula power supply
The minimum operation time,It it is minimum idle time after the shutdown of i-th controlled distribution formula power supply.
The sale of electricity company region within the jurisdiction power distribution network dispatching method optimized based on second order cone the most according to claim 1, it is special
Levy and be, described step 10) in, direct load controls to run constraint and includes spatial load forecasting time-constrain, spatial load forecasting capacity
Constraint, the constraint of load controllable period of time and payback load constraint；
Shown in described spatial load forecasting time-constrain such as formula (10):
In formula: Xk,tControlling user's the most controlled 0-1 state variable for t period kth direct load, 1 expression is controlled, and 0
Represent not controlled；The maximum controllable period of time continuously of user is controlled for kth direct load；T0Represent dispatching cycle T withTime intersegmental minima, Xk,lUser's the most controlled 0-1 state variable is controlled for l period kth direct load,
Xk,t-1User's the most controlled 0-1 state variable is controlled for t-1 period kth direct load,For kth direct load
Control user's minimum continuous uncontrolled time；
Shown in described spatial load forecasting capacity-constrained such as formula (11):
In formula:The controlled loading of user is controlled for t period kth direct load,For kth direct load control
The control capability upper limit of user processed；
The described load controlled period retrains as shown in formula (12):
In formula: S is the period taking direct load control measure；
Described payback load retrains as shown in formula (13):
In formula:The payback load of user is controlled for t period kth direct load,User is controlled for kth direct load
At the controlled-load of t-1 period,User's controlled-load in the t-2 period is controlled for kth direct load,For kth
Direct load controls user's controlled-load in the t-3 period, and α is first coefficient of corresponding period, and β is that the second of corresponding period is
Number, γ is the 3rd coefficient of corresponding period.
The sale of electricity company region within the jurisdiction power distribution network dispatching method optimized based on second order cone the most according to claim 1, it is special
Levy and be, described step 10) in, energy storage device runs constraint and includes capacity of energy storing device constraint and energy storage charge-discharge electric power about
Bundle；
Described capacity of energy storing device retrains as shown in formula (14):
In formula,The gross energy of the energy storage for connecting in t period node i,For the energy storage charging connected in t period node i
Power, ηchFor the charge efficiency of energy storage,For the energy storage discharge power connected in t period node i, ηdisElectric discharge for energy storage is imitated
Rate,The gross energy of the energy storage for connecting in t+1 period node i, Δ T is time interval,For connecting in T period node i
The gross energy of energy storage,For in T period node i connect energy storage charge power,For the storage connected in T period node i
Energy discharge power,It is the gross energy of the energy storage connected in the 1st period node i,For the stored energy capacitance connected in node i
Limit value；
Described energy storage charge-discharge electric power retrains as shown in formula (15):
In formula,The charge power upper limit of the energy storage device for connecting in node i,For the energy storage connected in t node i
The charged state of device, for 0-1 variable,Represent that connecting energy storage device in t node i is in charged state,
Represent that connecting energy storage device in t node i is not in charged state；The electric discharge of the energy storage device for connecting in node i
Power upper limit,For the discharge condition of energy storage device connected in t node i, for 0-1 variable,Represent t
Connect energy storage device in node i and be in discharge condition,Represent that connecting energy storage device in t node i is not in electric discharge
State.
The sale of electricity company region within the jurisdiction power distribution network dispatching method optimized based on second order cone the most according to claim 1, it is special
Levy and be, described step 10) in, renewable energy power generation constraint includes that photovoltaic generation runs constraint, and photovoltaic generation runs constraint
As shown in formula (16):
In formula:For on t period node j connect photovoltaic active power,For the photovoltaic that is connected on node j in the t period
The meritorious predictive value exerted oneself；For on t period node j connect photovoltaic reactive power,Idle for corresponding photovoltaic is exerted oneself
Predictive value；Power-factor angle for photovoltaic.
The sale of electricity company region within the jurisdiction power distribution network dispatching method optimized based on second order cone the most according to claim 1, it is special
Levy and be, described step 20) specifically include following steps:
Carry out convex lax, as shown in formula (17) firstly for trend constraint:
Then introduce shown in new variables such as formula (18) and formula (19):
Trend constraint is converted, as shown in formula (20):
Formula (18) and formula (19) are substituted into formula (17), and do equivalent variations, obtain formula (21):
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