CN110766207A - Power distribution network power supply capacity acquisition method considering participation of power selling companies in transactions - Google Patents

Power distribution network power supply capacity acquisition method considering participation of power selling companies in transactions Download PDF

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CN110766207A
CN110766207A CN201910942715.1A CN201910942715A CN110766207A CN 110766207 A CN110766207 A CN 110766207A CN 201910942715 A CN201910942715 A CN 201910942715A CN 110766207 A CN110766207 A CN 110766207A
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power
load
distribution network
power supply
transaction
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范宏
郁可可
曹康华
陆骁霄
邓剑
袁倩倩
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Shanghai University of Electric Power
Shanghai Electric Power University
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Shanghai Electric Power University
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention relates to a method for acquiring power supply capacity of a power distribution network by considering participation of an electricity selling company in transaction, which comprises the following steps: 1) establishing an electricity purchasing model and an electricity selling model of an electricity selling company participating in the electric power spot transaction according to the interaction relation between market transaction and the power supply capacity of the power distribution network; 2) establishing a power distribution network power supply capacity model considering the participation of the power selling company in the electric power spot transaction by combining the electric power purchasing transaction information of the power selling company in the electric power spot transaction; 3) and solving the power distribution network power supply capacity model considering that the power selling company participates in the electric power spot transaction by adopting an improved repeated power flow algorithm to obtain the power distribution network power supply capacity. Compared with the prior art, the method has the advantages of comprehensive consideration, accurate result, strong applicability and the like.

Description

Power distribution network power supply capacity acquisition method considering participation of power selling companies in transactions
Technical Field
The invention relates to the technical field of power distribution network planning, in particular to a power distribution network power supply capacity acquisition method considering participation of power selling companies in transactions.
Background
With the popularization of the power market, the power selling side is opened to become the focus of social attention, and more power selling companies are added to market trading. The market of electricity selling is beneficial to breaking monopoly and improving the resource utilization rate on one hand, but on the other hand, the market transaction has uncertainty and can also have certain influence on the power supply capacity of the power distribution network.
The electricity selling company as an important component of the electric power trading market can be used as an electricity purchasing main body to purchase electric energy from market trading and can also be used as an electricity selling main body to transmit the electric energy to markets and users, the trend distribution of a power distribution network is changed, and the power supply capacity of the power distribution network is influenced.
In order to maximize the benefits of the electricity selling company, the electricity selling company can flexibly control the output of the controllable distributed power supply and the reduction of the controllable load when participating in the electric power spot transaction. Currently, research on the content is less, and the power supply capacity of a power distribution network of an electric power selling company participating in electric power spot transaction needs to be calculated urgently.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method for acquiring the power supply capacity of a power distribution network by considering the participation of an electric power selling company in transaction.
The purpose of the invention can be realized by the following technical scheme:
a power distribution network power supply capacity acquisition method considering participation of an electricity selling company in transaction comprises the following steps:
1) establishing an electricity purchasing model and an electricity selling model of an electricity selling company participating in the electric power spot transaction according to the interaction relation between market transaction and the power supply capacity of the power distribution network;
2) establishing a power distribution network power supply capacity model considering the participation of the power selling company in the electric power spot transaction by combining the electric power purchasing transaction information of the power selling company in the electric power spot transaction;
3) and solving the power distribution network power supply capacity model considering that the power selling company participates in the electric power spot transaction by adopting an improved repeated power flow algorithm to obtain the power distribution network power supply capacity.
In the step 1), the electricity purchasing model of the electricity selling company participating in the electric power spot transaction aims at the maximum social benefit, and specifically comprises the following steps:
in the formula: f1 is social, Bu,t、Du,tB, quoted price and electric quantity demand of the electricity selling company u at the time t respectivelyv,t、Pv,tRespectively, the quoted price and the market electric quantity output of the power generation main body v in the period t, αu,t、βv,tThe variables are 0-1 variables of whether the power selling company and the power generation main body win the bid at the time T respectively, U is the total number of the power selling company, V is the total number of the power generation main body, and T is a transaction period.
The constraint conditions of the electricity purchasing model of the electricity selling company participating in the electricity spot transaction comprise:
voltage balance constraint:
Figure BDA0002223357290000022
and (4) transaction electric quantity constraint:
Figure BDA0002223357290000023
the market is clear and restricted:
Figure BDA0002223357290000024
wherein, ASC is the available power supply capacity of the distribution network, Bcl,tAnd discharging the price of the clear electricity at the moment t.
The electricity selling model for the electricity selling company to participate in the electric power spot transaction aims at the maximum economic benefit, and specifically comprises the following steps:
Figure BDA0002223357290000025
wherein, Delta T is interval time, T is transaction period,
Figure BDA0002223357290000031
for the electricity selling price of the electricity selling company at time t, Di,tFor the time period t, the power selling company at the node i sells the electric quantity,for a controllable load reduction at node i during a period t, Bcl,r,tThe marginal clearing price is unified for the market in the day-ahead period and is calculated by an electricity purchasing model, Bcl,s,tAnd Ps,tRespectively, real-time market trading price and trading volume, when Ps,tWhen the power is more than 0, the power is purchased from the market, when P iss,tWhen the power is less than 0, the surplus electric quantity sent by the DGs is sold to the market, M is the quantity of the controllable DGs, N is the total number of the nodes,
Figure BDA0002223357290000033
and
Figure BDA0002223357290000034
respectively the output cost coefficient and the generated energy of the controllable DGj in the t period,
Figure BDA0002223357290000035
the price is compensated for the sum of the outage load at node i during time t and the transferable load,respectively, an interruptible load amount and a transferable load amount.
In the step 2), the objective function of the power supply capacity model of the power distribution network considering the power selling company to participate in the electric power spot transaction is as follows:
Figure BDA0002223357290000038
Figure BDA0002223357290000039
Figure BDA00022233572900000310
wherein TSC is the maximum power supply capacity of the power distribution network, ASC is the available power supply capacity of the power distribution network, i and N are node numbers and the total number of nodes,respectively, the conventional load and the market trading load at the time t, k is the load increase multiple,
Figure BDA00022233572900000312
it refers to the load growth base number,
Figure BDA00022233572900000313
for the amount of controllable load reduction of the electricity selling company at the node i,
Figure BDA00022233572900000314
respectively 0-1 variables for interruptible load and transferable load at node i at time t.
The constraint conditions of the power supply capacity model of the power distribution network considering the participation of the power selling company in the electric power spot transaction comprise:
and (3) power flow constraint:
wherein the content of the first and second substances,
Figure BDA0002223357290000041
andrespectively the active output of the conventional unit, the active output of the controllable distributed power supply, the predicted value of the photovoltaic active output and the active load at a node i at the time t,
Figure BDA0002223357290000043
and
Figure BDA0002223357290000044
respectively are the reactive power output of the conventional unit, the reactive power output of the controllable distributed power supply, the photovoltaic reactive power output predicted value and the reactive load at a node i at the time t,
Figure BDA0002223357290000045
is the voltage at node i, GijAnd BijRespectively the conductance and susceptance of the line between nodes i, j,
Figure BDA0002223357290000046
is the phase angle difference of the nodes i, j;
and (3) output constraint of the controllable distributed power supply:
Figure BDA0002223357290000047
Figure BDA0002223357290000048
wherein the content of the first and second substances,
Figure BDA0002223357290000049
for the introduced variable 0-1, representing the controllable DG operating state at time t,
Figure BDA00022233572900000410
respectively are the upper limit and the lower limit of the active output of the controllable DG,
Figure BDA00022233572900000411
respectively are the upper limit and the lower limit of the controllable DG reactive power output;
photovoltaic output restraint:
Figure BDA00022233572900000412
Figure BDA00022233572900000413
wherein the content of the first and second substances,
Figure BDA00022233572900000414
respectively representing the active and reactive upper and lower limits of photovoltaic output at the node i;
node voltage constraint:
Figure BDA00022233572900000415
wherein the content of the first and second substances,
Figure BDA00022233572900000416
respectively the maximum and minimum of the voltage at node i.
Interruptible load constraint:
Figure BDA00022233572900000417
transferable load constraint:
Figure BDA00022233572900000418
wherein the content of the first and second substances,
Figure BDA00022233572900000419
maximum values of interruptible load and transferable load signed by the power selling company at the node i in the period t respectively;
line power constraint:
Figure BDA00022233572900000420
wherein the content of the first and second substances,
Figure BDA00022233572900000421
respectively, the upper and lower limits of the line power between nodes i, j.
The step 3) specifically comprises the following steps:
31) obtaining the ground state t equal to 0Normal load of electric network
Figure BDA0002223357290000051
Market trading load
Figure BDA0002223357290000052
And controllable load reduction
Figure BDA0002223357290000053
32) Setting an initial step length h0And transaction period T and convergence accuracy epsilon;
33) obtaining a load growth cardinality
Figure BDA0002223357290000054
34) If h is less than epsilon, step 35) is carried out, and if h is more than epsilon, the maximum power supply capacity of the power distribution network is calculated
Figure BDA0002223357290000055
Judging whether the power flow is out of limit, if so, taking the step length h as h/2, returning and judging that h is less than epsilon, if not, taking k as k + h, calculating TSC, and continuously judging whether the power flow is out of limit;
35) calculating available power distribution capacity of power distribution network
Figure BDA0002223357290000056
36) And when T is less than T, acquiring the available power distribution capacity and the maximum power supply capacity of the power distribution network at the moment of T +1, and otherwise, ending.
The step 3) further comprises the following steps:
and the electricity selling company controls the output of the controllable distributed power supply and the amount of reduction of the controllable load according to the available power distribution capacity, the maximum power supply capacity, the day-ahead transaction electric quantity and the real-time market price of the power distribution network, and performs secondary adjustment on the system load.
Compared with the prior art, the invention has the following advantages:
firstly, considering market factors: the invention considers the function of market factors, establishes a power distribution network power supply capacity model under the condition that the power selling company participates in spot transaction, and the model accords with the background of releasing the power selling side from the new power supply, so that the description is more comprehensive.
Secondly, the result is accurate: and an improved repeated power flow algorithm is adopted for solving, and the load increase cardinality is optimized in real time, so that the solving result is more accurate.
Thirdly, the applicability is strong: the method can calculate the power supply capacity of the power distribution network, can calculate the profits of the power selling companies, and is high in applicability.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a flow chart of the algorithm of the present invention.
Fig. 3 is a system diagram of IEEE33 nodes.
Fig. 4 is a graph of electricity selling price and real-time electricity price at each time period.
Fig. 5 is a diagram of a controllable distributed power supply and a controllable load shedding.
Fig. 6 is a TSC curve for a distribution network before and after a transaction.
Fig. 7 is a graph of line load rate distribution before and after a 9:00a.m transaction.
Fig. 8 is a graph of node voltage distribution before and after a transaction at 9:00 a.m.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Examples
As shown in fig. 1, the present invention provides a method for acquiring power supply capacity of a power distribution network considering that an electricity selling company participates in an electric power spot transaction, which includes the following steps:
s1, analyzing the interaction relation between market transaction and power supply capacity of the power distribution network according to the action of the power selling company in the power transaction market, and establishing a power purchasing and selling model of the power selling company;
s2, establishing a power distribution network power supply capacity model considering the power selling company to participate in the electric power spot transaction by combining the electric power purchasing and selling transaction information of the power selling company to participate in the electric power spot transaction;
s3 is solved by adopting a modified repeated power flow algorithm.
In step S1, according to the effect of the power selling company in the power trading market, the interaction relationship between market trading and the power supply capacity of the power distribution network is analyzed, and a power selling company power purchasing model is established, specifically comprising the following steps:
step S11: when electricity is purchased, the electricity selling company makes quoted prices to participate in market transaction by combining the transaction electricity quantity issued by the electricity transaction center and the electricity quantity demand of the load side, and establishes an electricity purchasing model of the electricity selling company to participate in the electricity spot transaction;
electricity purchasing model of electricity selling company:
Figure BDA0002223357290000061
in the formula: f1 is social benefit; b isu,t、Du,tRespectively representing the quotation and the electric quantity demand of the electricity selling company u at the time t; b isv,t、Pv,tRespectively representing the quoted price and the market electric quantity output of the power generation main body v in the period t, αu,t、βv,tAnd the variables represent 0-1 variables of whether the power selling company and the power generation main body win or not at the time t respectively.
Figure BDA0002223357290000062
(Voltage balance constraint)
(transaction electric quantity constraint)
Figure BDA0002223357290000071
(market-out constraint)
Step S12: when selling electricity, the electricity selling company combines the real-time electricity price and the electricity demand, flexibly adjusts the controllable distributed power supply and the adjustable load in the electricity selling company and establishes an electricity selling model for the electricity selling company to participate in the electricity spot transaction with the aim of maximizing the economic benefit.
The electricity selling company sells electricity model:
Figure BDA0002223357290000072
in the formula: Δ T represents an interval time, T represents a scheduling period;
Figure BDA0002223357290000073
the electricity selling price of the electricity selling company is t time period; di,tSelling the electric quantity for the electric power selling company at the node i in the period t;
Figure BDA0002223357290000074
representing the controllable load reduction amount at the node i in the t period; b iscl,rThe marginal clearing price is unified for the market at the day-ahead time period and is calculated by a power purchasing model; b iscl,sAnd Ps,tRespectively, real-time market trading price and trading volume, when Ps,t>Purchasing electricity from market at 0, when Ps,t<When 0, the surplus electric quantity sent by the DG is sold to the market; m is the controllable DG number;and
Figure BDA0002223357290000076
respectively representing the output cost coefficient and the generated energy of the controllable DG at the t time period;
Figure BDA0002223357290000077
and reducing the load compensation price at the node i for the t period.
In step S2, a power distribution network power supply capability model considering that the power selling company participates in the electric power spot transaction is established in combination with the electric power purchasing and selling transaction information of the power selling company participating in the electric power spot transaction, and the specific steps are as follows:
step S21: and acquiring information of the trading load quantity, the controllable load reduction quantity, the controllable DG output force, the trading period, the trading electricity price and the like of the power selling company participating in spot trading.
Step S22: and establishing a power distribution network power supply capacity model considering that the power selling company participates in the electric power spot transaction.
An objective function:
Figure BDA0002223357290000078
Figure BDA0002223357290000079
Figure BDA0002223357290000081
in the formula: the TSC represents the maximum power supply capacity of the power distribution network, and the ASC represents the available power supply capacity of the power distribution network; i. n respectively represents the node number and the node total number;
Figure BDA0002223357290000083
respectively representing the conventional load and the market trading load at the time t; k is the load increase multiple;
Figure BDA0002223357290000084
refers to the load growth cardinality;
Figure BDA0002223357290000085
representing a controllable load reduction of the electricity selling company at node i. Mainly comprises two parts of a water-soluble polymer,
Figure BDA0002223357290000086
representing a load that can be interrupted,
Figure BDA0002223357290000087
representing a transferable load;
Figure BDA0002223357290000088
respectively represent 0-1 variables of two controllable loads at a node i at the time t.
Constraint conditions are as follows:
Figure BDA0002223357290000089
(tidal current constraint)
In the formula:
Figure BDA00022233572900000810
and
Figure BDA00022233572900000811
respectively obtaining the active output of a conventional unit, the active output of a controllable distributed power supply, a photovoltaic active output predicted value and an active load at a t-time node i;
Figure BDA00022233572900000812
and
Figure BDA00022233572900000813
respectively obtaining the reactive power output of the conventional unit, the controllable distributed power supply, the photovoltaic reactive power output predicted value and the reactive load at a t-time node i;
Figure BDA00022233572900000814
is the voltage at node i; gijAnd BijConductance and susceptance of branch ij, respectively;
Figure BDA00022233572900000815
is the phase angle difference of the nodes i, j.
Figure BDA00022233572900000816
(active power output constraint of controllable distributed power supply)
(reactive power output constraint of controllable distributed power supply)
In the formula:
Figure BDA00022233572900000818
the introduced variable 0-1 represents the controllable DG running state at the time t;
Figure BDA00022233572900000819
respectively are the upper limit and the lower limit of the active output of the controllable DG;
Figure BDA00022233572900000820
respectively the upper and lower limit of controllable DG reactive power output.
Figure BDA00022233572900000821
(photovoltaic power output active restraint)
Figure BDA00022233572900000822
(photovoltaic output reactive power constraint)
In the formula:
Figure BDA00022233572900000823
the active and reactive upper and lower limits of the photovoltaic output at the node i are respectively.
Figure BDA00022233572900000824
(node Voltage constraint)
In the formula:
Figure BDA00022233572900000825
respectively, the upper and lower limits of the voltage at node i.
Figure BDA00022233572900000826
(interruptible load constraint)
Figure BDA00022233572900000827
(transferable load constraint)
In the formula:
Figure BDA00022233572900000828
the maximum value of interruptible load and transferable load signed up at node i by the power selling company respectively for the time period t.
In the formula:
Figure BDA0002223357290000092
respectively, the upper and lower limits of the line power between nodes i, j.
The step S3) adopts an improved repeated power flow algorithm to solve, and the specific steps are as follows:
step S31: obtaining the normal load of the distribution network when the ground state t is 0
Figure BDA0002223357290000093
Market trading load
Figure BDA0002223357290000094
And controllable load reduction
Figure BDA0002223357290000095
Step S32: setting an initial step length h0Transaction period and convergence accuracy epsilon;
step S33: base of computational load increase
Figure BDA0002223357290000096
Step S34: if h is less than epsilon, go to step S35; if h > ε, then calculate
Figure BDA0002223357290000097
Judging whether the power flow is out of limit, if so, setting the step length h to be h/2, returning to the judgment that h is less than epsilon, otherwise, setting k to be k + h, entering TSC calculation, and continuously judging whether the power flow is out of limit;
step S35: calculating available power distribution capacity of power distribution network
Figure BDA0002223357290000098
Step S36: if T is less than T, calculating the power supply capacity at the moment of T +1, otherwise, finishing the calculation;
in this embodiment, the simulated power system adopts an IEEE33 node system, and a controllable distributed power supply, a photovoltaic system, and a controllable load in an electricity-selling company are connected to the system, where the specific parameters are shown in table 1. The system voltage level is 12.66kV, the existing ground state load is 3715kw + j2300kvar, and the conventional load is 1238kw + j935 kvar. The controllable distributed power generation cost is 0.6 yuan (kW.h), the interruptible load compensation price is 0.8 yuan (kW.h), and the transferable load compensation price is 0.2 yuan (kW.h). The system architecture is shown in fig. 3.
TABLE 1 electric company internal parameters
Type of access Access location Capacity of
DG1 (gas turbine) Node 7 200kW
DG2 (gas turbine) Node 21 200kW
Photovoltaic system Node 30 200kW
IL Node
14 100kW
SL Node
17 100kW
When the system is in a ground state load, the maximum power supply capacity of the system is calculated by adopting an improved repeated power flow algorithm, and the TSC is 5352kW + j2659kvar, and the ASC is 1527kW + j359 kvar. Given the system's need to leave some load margin, it is assumed that the electricity traffic is no more than 80% of the ASC at any one time. The electricity selling company is used as the electricity purchasing main body to participate in the day-ahead electricity transaction, and the load is adjusted once. The marginal clear electricity price of the current trading market is 0.4(kW.h) and the total trading electricity quantity is 27408 kW. When the real-time market is opened the next day, the electricity selling company flexibly controls the output of the controllable distributed power supply and the amount of the controllable load reduction by combining the current trading electric quantity and the real-time market price, and carries out secondary adjustment on the system load. The electricity selling company optimizes the operation of each time interval with the maximum profit target, the electricity selling price and the real-time price of electricity in each time interval are shown in figure 4, and the controllable distributed power output and the controllable load reduction are shown in figure 5.
As can be seen from fig. 5, in the time periods of 7-14h and 19-22h, the DG1 and the DG2 operate at rated power, and at this time, the real-time electricity price is higher, and the controllable distributed power supply inside the electricity selling company sells the surplus electricity to the market besides meeting the demands of the user. Considering that the compensation price of the interruptible load IL is higher, the load interruption is carried out at 9-11h and 19-20 h. Since the transferable load SL is low in compensation price, the load in the period of time when the electricity price is high will be transferred to the moment when the electricity price is low.
After the distributed power supply and the controllable load reduction amount in each time period are obtained, the distributed power supply and the controllable load reduction amount are substituted into a power distribution network power supply capacity solving model to evaluate the power distribution network power supply capacity in real time, and TSC curves before and after transaction are obtained and are shown in FIG. 6. The results of the comparison before and after the trade at the time of 9:00a.m are shown in table 2. The line load ratios and node voltage distributions obtained are shown in fig. 7 and 8.
TABLE 2 comparison of pre-and post-trade results
Figure BDA0002223357290000101
As can be seen from table 2 and fig. 6, the TSC of the distribution network after the trade of the power selling company is considered to be larger than the TSC in the conventional mode. The TSC under the primary adjustment is increased stably, the profit of an electricity selling company is increased due to the participation of a controllable distributed power supply and a controllable load in the secondary adjustment process, and the TSC of the power distribution network is obviously improved, especially the TSC is improved more obviously at the time of a real-time electricity price peak. As can be seen from fig. 7 and 8, the distribution difference of the load rates of the lines before the transaction is large, and the load flow of the line 15 after the iteration is out of limit as early as possible, so that the TSC of the power distribution network is limited. After the transaction, the load rate of the line is improved to a certain extent and is distributed more evenly, and the load flow of the TSC of the power distribution network is out of limit in the line 18 after iteration.

Claims (8)

1. A power distribution network power supply capacity acquisition method considering participation of an electricity selling company in transaction is characterized by comprising the following steps:
1) establishing an electricity purchasing model and an electricity selling model of an electricity selling company participating in the electric power spot transaction according to the interaction relation between market transaction and the power supply capacity of the power distribution network;
2) establishing a power distribution network power supply capacity model considering the participation of the power selling company in the electric power spot transaction by combining the electric power purchasing transaction information of the power selling company in the electric power spot transaction;
3) and solving the power distribution network power supply capacity model considering that the power selling company participates in the electric power spot transaction by adopting an improved repeated power flow algorithm to obtain the power distribution network power supply capacity.
2. The method for acquiring the power supply capacity of the power distribution network in consideration of the participation of the power selling company in the transaction as claimed in claim 1, wherein in the step 1), the power purchasing model of the power selling company in the electric power spot transaction is targeted to the maximum social benefit, and specifically comprises:
Figure FDA0002223357280000011
in the formula: f1 is social, Bu,t、Du,tRespectively the quoted price and the electric quantity demand of the electricity selling company u at the time t,Bv,t、Pv,trespectively, the quoted price and the market electric quantity output of the power generation main body v in the period t, αu,t、βv,tThe variables are 0-1 variables of whether the power selling company and the power generation main body win the bid at the time T respectively, U is the total number of the power selling company, V is the total number of the power generation main body, and T is a transaction period.
3. The method for acquiring the power supply capacity of the power distribution network in consideration of participation of the power selling company in the transaction as claimed in claim 2, wherein the constraint conditions of the power purchasing model of participation of the power selling company in the power spot transaction comprise:
voltage balance constraint:
and (4) transaction electric quantity constraint:
Figure FDA0002223357280000013
the market is clear and restricted:
wherein, ASC is the available power supply capacity of the distribution network, Bcl,tAnd discharging the price of the clear electricity at the moment t.
4. The method for acquiring the power supply capacity of the power distribution network in consideration of participation of the power selling company in the transaction as claimed in claim 1, wherein the power selling model of the power selling company in participation of the power spot transaction is targeted at the maximum economic benefit, and specifically comprises the following steps:
Figure FDA0002223357280000022
wherein, Delta T is interval time, T is transaction period,
Figure FDA0002223357280000023
for the electricity selling price of the electricity selling company at time t, Di,tFor the time period t, the power selling company at the node i sells the electric quantity,
Figure FDA0002223357280000024
for a controllable load reduction at node i during a period t, Bcl,r,tUnifying marginal clearing price for day-ahead time market, Bcl,s,tAnd Ps,tRespectively, real-time market trading price and trading volume, when Ps,tWhen the power is more than 0, the power is purchased from the market, when P iss,tWhen the power is less than 0, the surplus electric quantity sent by the DGs is sold to the market, M is the quantity of the controllable DGs, N is the total number of the nodes,
Figure FDA0002223357280000025
and
Figure FDA0002223357280000026
respectively the output cost coefficient and the generated energy of the controllable DGj in the t period,
Figure FDA0002223357280000027
the price is compensated for the sum of the outage load at node i during time t and the transferable load,
Figure FDA0002223357280000028
Figure FDA0002223357280000029
respectively, an interruptible load amount and a transferable load amount.
5. The method for obtaining the power supply capacity of the power distribution network in consideration of the participation of the power selling company in the transaction as claimed in claim 4, wherein in the step 2), the objective function of the power supply capacity model of the power distribution network in consideration of the participation of the power selling company in the electric power spot transaction is as follows:
Figure FDA00022233572800000210
Figure FDA00022233572800000211
Figure FDA0002223357280000031
Figure FDA0002223357280000032
wherein TSC is the maximum power supply capacity of the power distribution network, ASC is the available power supply capacity of the power distribution network, i and N are node numbers and the total number of nodes,
Figure FDA0002223357280000033
respectively, the conventional load and the market trading load at the time t, k is the load increase multiple,
Figure FDA0002223357280000034
it refers to the load growth base number,
Figure FDA0002223357280000035
for the amount of controllable load reduction of the electricity selling company at the node i,
Figure FDA0002223357280000036
respectively 0-1 variables for interruptible load and transferable load at node i at time t.
6. The method as claimed in claim 5, wherein the constraints of the power distribution network power supply capability model considering the power selling company participating in the electric power spot transaction include:
and (3) power flow constraint:
Figure FDA0002223357280000037
wherein the content of the first and second substances,
Figure FDA0002223357280000038
and
Figure FDA0002223357280000039
respectively the active output of the conventional unit, the active output of the controllable distributed power supply, the predicted value of the photovoltaic active output and the active load at a node i at the time t,
Figure FDA00022233572800000310
and
Figure FDA00022233572800000311
respectively are the reactive power output of the conventional unit, the reactive power output of the controllable distributed power supply, the photovoltaic reactive power output predicted value and the reactive load at a node i at the time t,
Figure FDA00022233572800000312
is the voltage at node i, GijAnd BijRespectively the conductance and susceptance of the line between nodes i, j,
Figure FDA00022233572800000313
is the phase angle difference of the nodes i, j;
and (3) output constraint of the controllable distributed power supply:
Figure FDA00022233572800000314
Figure FDA00022233572800000315
wherein the content of the first and second substances,
Figure FDA00022233572800000316
for the introduced variable 0-1, representing the controllable DG operating state at time t,
Figure FDA00022233572800000317
respectively are the upper limit and the lower limit of the active output of the controllable DG,
Figure FDA00022233572800000318
respectively are the upper limit and the lower limit of the controllable DG reactive power output;
photovoltaic output restraint:
Figure FDA00022233572800000319
Figure FDA0002223357280000041
wherein the content of the first and second substances,
Figure FDA0002223357280000042
respectively representing the active and reactive upper and lower limits of photovoltaic output at the node i;
node voltage constraint:
Figure FDA0002223357280000043
wherein the content of the first and second substances,
Figure FDA0002223357280000044
respectively the maximum and minimum of the voltage at node i.
Interruptible load constraint:
Figure FDA0002223357280000045
transferable load constraint:
Figure FDA0002223357280000046
wherein the content of the first and second substances,maximum values of interruptible load and transferable load signed by the power selling company at the node i in the period t respectively;
line power constraint:
Figure FDA0002223357280000048
wherein the content of the first and second substances,
Figure FDA0002223357280000049
respectively, the upper and lower limits of the line power between nodes i, j.
7. The method for acquiring the power supply capacity of the power distribution network in consideration of participation of an electricity selling company in transaction according to claim 6, wherein the step 3) specifically comprises the following steps:
31) obtaining the normal load of the distribution network when the ground state t is 0
Figure FDA00022233572800000410
Market trading loadAnd controllable load reduction
Figure FDA00022233572800000412
32) Setting an initial step length h0And transaction period T and convergence accuracy epsilon;
33) obtaining a load growth cardinality
Figure FDA00022233572800000413
34) If h is less than epsilon, step 35) is carried out, and if h is more than epsilon, the maximum power supply capacity of the power distribution network is calculatedAnd judgeIf the load flow is out of limit, taking the step length h as h/2, returning and judging that h is less than epsilon, if the load flow is not out of limit, taking k as k + h, calculating TSC, and continuously judging whether the load flow is out of limit;
35) calculating available power distribution capacity of power distribution network
Figure FDA00022233572800000415
36) And when T is less than T, acquiring the available power distribution capacity and the maximum power supply capacity of the power distribution network at the moment of T +1, and otherwise, ending.
8. The method for acquiring the power supply capacity of the power distribution network in consideration of the participation of the power selling company in the transaction as recited in claim 1, wherein the step 3) further comprises the following steps:
and the electricity selling company controls the output of the controllable distributed power supply and the amount of reduction of the controllable load according to the available power distribution capacity, the maximum power supply capacity, the day-ahead transaction electric quantity and the real-time market price of the power distribution network, and performs secondary adjustment on the system load.
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