CN112150287B - End-to-end electric energy transaction method for multi-region flexible interconnected power distribution network - Google Patents
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Abstract
An end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network comprises the following steps: respectively inputting basic parameter information of the multi-region flexible interconnected power distribution network according to the selected multi-region flexible interconnected power distribution network; respectively establishing electric energy trading pricing strategies of each regional power distribution network in the multi-region flexible interconnected power distribution network according to the provided basic parameter information; according to an end-to-end electric energy transaction quotation set of each regional power distribution network, a feasible scheme set is formed by considering active power transmission balance constraint of a multi-end intelligent soft switch, and intelligent contract decision is made based on an improved comprehensive quotation highest principle; according to the decision result of the intelligent contract, the benefit sharing principle is adopted to carry out the end-to-end electric energy transaction settlement of the multi-region flexible interconnected power distribution network, and the electric energy transaction settlement result is output, which comprises the following steps: settlement amount of each regional power distribution network and transmission power of the multi-terminal intelligent soft switch. The invention realizes the real-time adjustment of the output of the multi-terminal intelligent soft switch and realizes the efficient and flexible operation of the system.
Description
Technical Field
The invention relates to an electric energy transaction method for a multi-region flexible interconnected power distribution network. In particular to an end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network.
Background
The large access of new elements such as distributed power sources and electric vehicles puts higher requirements on the operation of the power distribution network. In order to meet the diversified and customized electricity utilization requirements of a user side, the traditional power distribution network is gradually developed into a highly flexible and controllable flexible interconnection structure from a traditional radial structure under the support of flexible power distribution equipment such as a multi-terminal multi-voltage-level intelligent soft Switch (SOP) and the like. Each regional power distribution network has a plurality of energy interaction ways through multi-terminal intelligence, supports fine controllable two-way energy-information-value interaction, and lays a physical foundation for peer-to-peer (P2P) electric energy transaction of multi-region flexible interconnected power distribution networks.
The power transmission of each regional power distribution network in the flexible interconnected power distribution network through the multi-end intelligent soft switch can continuously improve the operation loss and the voltage distribution of the system in real time, improve the absorption capacity of the distributed power supply and reduce the operation cost of the system. Therefore, there is a need to regulate the output of the smart soft switch under an effective trading mechanism to reduce the operation cost from the perspective of the overall operation of the flexible power distribution network or the operation of the power distribution network in each area. Aiming at the end-to-end electric energy transaction requirement of a multi-region flexible interconnected power distribution network, how to further support the decentralization of energy flow and information flow at the system level and how to construct a flexible operation transaction mechanism of multi-benefit main bodies become key technical problems to be solved urgently.
The key problem of end-to-end electric energy transaction is how to design a safe, efficient, transparent and information-symmetric transaction mechanism. The smart contracts, as a key feature of the blockchain, allow highly trusted transactions to be effected without third parties. Therefore, each regional power distribution network in the flexible interconnected power distribution network is used as a transaction main body and is interacted with the intelligent contract, the intelligent contract can effectively achieve decentralized management operation of the power distribution network, a flexible soft switch operation strategy is automatically formulated, and intelligent transaction with a flexible contract function is achieved.
At present, the research on multi-region flexible interconnected power distribution networks at home and abroad mainly focuses on the operation optimization strategy formulation of a multi-terminal intelligent soft switch, and an artificial intelligence algorithm or a mathematical programming method is adopted for solving. How to further support the decentralization of energy flow and information flow at the system level and construct an operation transaction mechanism participated by multi-benefit main bodies is to be further developed. Therefore, an end-to-end electric energy transaction method based on a distributed account book is urgently needed for electric energy transaction requirements of multi-region flexible interconnected power distribution networks, and each region power distribution network realizes real-time adjustment of multi-end intelligent soft switch output through an intelligent contract so as to reduce system operation cost.
Disclosure of Invention
The invention aims to solve the technical problem of providing an end-to-end electric energy trading method facing a multi-region flexible interconnected power distribution network, which can realize real-time regulation of output of a multi-end intelligent soft switch and guarantee economic operation of a system.
The technical scheme adopted by the invention is as follows: an end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network comprises the following steps:
1) respectively inputting topology and parameter information of the distribution network of each region, access positions and capacities of multi-terminal intelligent soft switches, access positions and power prediction curves of loads and distributed power supplies, and basic parameter information of system reference voltage and reference power according to the selected multi-region flexible interconnected distribution network;
2) establishing electric energy trading pricing strategies of each regional power distribution network in the multi-regional flexible interconnected power distribution network respectively according to basic parameter information of the multi-regional flexible interconnected power distribution network provided in the step 1), wherein the electric energy trading pricing strategies comprise the following steps: calculating the operation cost of the distribution network in each area by considering system operation loss, voltage deviation and distributed energy consumption factors to obtain an end-to-end electric energy transaction quotation set of the distribution network in each area;
3) according to the end-to-end electric energy transaction quotation set of the distribution network in each area in the step 2), a feasible scheme set is formed by considering active power transmission balance constraint of a multi-end intelligent soft switch, and intelligent contract decision is made based on an improved comprehensive quotation highest principle;
4) according to the intelligent contract decision result in the step 3), the end-to-end electric energy transaction settlement of the multi-region flexible interconnected power distribution network is carried out by adopting a benefit sharing principle, and an electric energy transaction settlement result is output, wherein the method comprises the following steps: settlement amount of each regional power distribution network and transmission power of the multi-terminal intelligent soft switch.
The invention discloses an end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network, which aims to solve the end-to-end electric energy transaction problem of the multi-region flexible interconnected power distribution network, fully considers the improvement of the consumption capacity of distributed energy and the operation loss cost of a multi-terminal intelligent soft switch, is designed based on an intelligent contract of a distributed account book, carries out autonomous decision through an improved comprehensive highest quotation principle, realizes the real-time regulation of the output of the multi-terminal intelligent soft switch, and realizes the efficient and flexible operation of a system.
Drawings
FIG. 1 is a flow chart of an end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network according to the invention;
FIG. 2 is an end-to-end electric energy transaction framework of a multi-zone flexible interconnected power distribution network based on four-end intelligent soft switches;
FIG. 3 is a photovoltaic, fan and load operating curve;
fig. 4a is the bidding willingness of the regional distribution network 1 to transmit power for the intelligent soft switch;
fig. 4b is the bidding willingness of the regional distribution network 2 to transmit power for the smart soft switch;
fig. 4c is the bidding willingness of the regional distribution network 3 to transmit power for the intelligent soft switch;
fig. 4d is the bidding willingness of the regional distribution network 4 to transmit power for the intelligent soft switch;
fig. 5 is an active power curve of each port of the intelligent soft switch in the second scheme;
FIG. 6 is a comparison of the total operating cost of the system for the two scenarios;
FIG. 7 is a graph comparing system operating losses for two scenarios;
FIG. 8 is a comparison graph of the extreme values of the system voltages in the two schemes;
fig. 9 is a comparison diagram of the situation of the distributed power supply reduction in the two schemes.
Detailed Description
The following describes in detail an end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network according to the present invention with reference to the following embodiments and accompanying drawings.
As shown in fig. 1, an end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network of the present invention includes the following steps:
1) and respectively inputting topology and parameter information of the distribution network of each region, the access position and capacity of the multi-terminal intelligent soft switch, the access position and power prediction curve of the load and the distributed power supply, and basic parameter information of system reference voltage and reference power according to the selected multi-region flexible interconnected distribution network.
For the embodiment of the invention, a distribution network containing four-terminal intelligent soft switches in an Tianjin North-Chen demonstration area is selected as shown in FIG. 2, and the detailed parameters are shown in tables 1 and 2. The demonstration area takes a joint table 110kV transformer substation and a wind power park 110kV transformer substation as centers to form a double-loop network structure comprising four feeders, four regional power distribution networks are flexibly interconnected through four-end intelligent soft switches, the voltage grades are all set to be 10.5kV, and the total active power demand and the total reactive power demand of the load are 9.9880MW and 7.3350Mvar respectively.
TABLE 1 arithmetic load access position and power for distribution network in Tianjin North Chen demonstration area
TABLE 2 calculation circuit parameters of distribution network in Tianjin North Chen demonstration area
To account for the access impact of the high permeability distributed power, the distributed power access case is shown in table 3. The distributed power supply power factors are all set to 1.0. The distributed power output and load demand curves are shown in fig. 3. The upper limit of the capacity of the current converter at each port of the four-terminal intelligent soft switch is set to be 3MVA, the loss coefficient is set to be 0.01, and the reference power of the system is set to be 1 MVA. The safe voltage operating range of the active power distribution network is 0.90p.u. -1.10 p.u., and the expected voltage operating range is 0.97p.u. -1.03 p.u. The price parameters for each operating cost are shown in table 4.
TABLE 3 distributed Power Access location and Capacity
| Region(s) | Photovoltaic Capacity/MVA | Fan Capacity/MVA |
| Wind 33 | 1.0 | - |
| Lang 17 | 1.0 | 2.0 |
| Happiness 64 | - | 2.0 |
| Wedding 51 | - | 2.0 |
TABLE 4 price parameters
| Name (R) | Price/(yuan kWh) |
| Running loss cost Pr 1 | 0.49 |
| Load shedding cost Pr 2 | 14.00 |
| Distributed power supply cost reduction Pr 3 | 0.95 |
2) Establishing electric energy trading pricing strategies of each regional power distribution network in the multi-regional flexible interconnected power distribution network respectively according to basic parameter information of the multi-regional flexible interconnected power distribution network provided in the step 1), wherein the electric energy trading pricing strategies comprise the following steps: and calculating the operation cost of each regional power distribution network by considering the system operation loss, the voltage deviation and the distributed energy consumption factors to obtain an end-to-end electric energy transaction quotation set of each regional power distribution network. Wherein,
(1) the calculation of the operation cost of the distribution network in each area by considering the system operation loss, the voltage deviation and the distributed energy consumption factors is represented as follows:
C h,t ＝f loss ·ρ 1 +f v ·ρ 2 +f DG ·ρ 3 (1)
in the formula, C h,t Representing the operation cost of the distribution network h in the period t; f. of loss Representing the operation loss of the regional distribution network; f. of v Representing a voltage deviation cost conversion function of the regional distribution network; f. of DG Representing the amount of the distributed power supply reduction in the regional power distribution network; rho 1 、ρ 2 And ρ 3 Respectively representing electricity price, voltage deviation reduced cost and distributed power supply cut-down price; n is a radical of T Represents the total number of time segments; omega b Representing all branch sets in the regional power distribution network; omega SOP Representing a node set connected with the multi-terminal intelligent soft switch; r ij Represents the resistance value of branch ij; i is ij,t Representing the current amplitude of branch ij during time t;
the power loss of an intelligent soft switch port at a node i of the power distribution network in the t-period region is represented, and active power injected into an alternating-current side node by the intelligent soft switch port is taken as a positive direction; omega DG Representing an access node set of a distributed power supply in a regional power distribution network;
representing the active power reduction amount of the distributed power supply at the node i in the t period; omega n A node set representing a regional distribution network; u shape i,t Representing the voltage amplitude of the node i in the period t; g (U) i,t ) The voltage deviation cost conversion function of the node i in the t period is represented, the load loss cost of the out-of-limit node voltage is taken as a reference, and the voltage deviation cost is converted according to the voltage deviation proportion; p i,t Representing the active power injected by the node i in the period t;
andUrespectively representing upper and lower voltage safe operation allowable limits;
andU thr respectively representing the upper limit and the lower limit of the expected operation of the voltage;
the operation loss of each port of the intelligent soft switch is reduced to the operation loss of the regional power distribution network connected with each port, and the operation constraint of the intelligent soft switch is expressed as follows:
in the formula,
representing the converter power loss of the intelligent soft switch at the h position of the power distribution network in the t-period region;
representing the active power of the AC side of a current converter of an intelligent soft switch at h of the power distribution network in a t-period region;
the method comprises the steps that the direct current active power of a current converter of an intelligent soft switch at a power distribution network h in a time t region is represented; a. the SOP And the loss coefficient of the current converter of the intelligent soft switch is shown.
(2) The end-to-end electric energy trading quotation of each regional power distribution network is represented as follows:
in the formula, O h,t The output quotation of the power distribution network h to the active power transmitted by the intelligent soft switch in the t-period area is represented; c h,t Representing the operation cost of the distribution network h in the t period area;
the system operation reference cost of the regional distribution network h in the period t is expressed when the regional distribution network h does not participate in market adjustment, namely
The system running cost of (1) is taken as a reference cost if O h,t >0, the running cost is reduced after the regional power distribution network participates in the electric energy transaction, and the income is obtained; if O is h,t <And 0, the operation cost is increased after the regional power distribution network participates in the electric energy transaction.
3) And (3) forming a feasible scheme set by considering active power transmission balance constraint of the multi-terminal intelligent soft switch according to the end-to-end electric energy transaction quotation set of each regional power distribution network in the step 2), and carrying out intelligent contract decision based on an improved comprehensive quotation highest principle.
(1) The feasible scheme set formed by considering the active power transmission balance constraint of the multi-terminal intelligent soft switch is represented as follows:
in the formula, S represents the total number of regional distribution networks in the multi-region flexible interconnected distribution network;
the active power transmitted by the intelligent soft switch at the h position of the power distribution network in the t period region is represented; x t The feasible scheme set of the output of the intelligent soft switch representing the t time period is an operation scheme meeting the active power transmission balance constraint of each port of the intelligent soft switch;
and
and respectively representing the active power transmitted by the intelligent soft switch at the area power distribution network 1, the area power distribution network 2 and the area power distribution network S in the t period.
(2) The intelligent contract decision making based on the improved comprehensive quotation highest principle is represented as follows:
in the formula, O t,sum Representing comprehensive bids of S regional power distribution networks in a t period; s represents the total number of regional power distribution networks in the multi-region flexible interconnected power distribution network; o is h,t The output quotation of the power distribution network h to the active power transmitted by the intelligent soft switch in the t-period area is represented; x t Representing a feasible scheme set of the output of the intelligent soft switch in the t period; f (X) t ) A comprehensive quotation function representing a feasible scheme of the power distribution network of each region exerting force on the intelligent soft switch in the t period;
representing the maximum gain obtained by the whole system in the period t;
the optimal operation scheme of the intelligent soft switch in the t period is represented, the operation scheme is the operation scheme with the maximum comprehensive bid of the distribution network in each area in all feasible schemes, and the overall cost of the system is reduced most at the moment;
and
respectively representing active power transmitted by the intelligent soft switches at the area power distribution network 1, the area power distribution network 2 and the area power distribution network S in the optimal operation scheme of the intelligent soft switches at the t period;
the intelligent contract decision-making means that feasible schemes for intelligent soft switch output are classified according to comprehensive bids of distribution networks in various regions, and a final decision-making scheme is selected according to the highest comprehensive price quotation principle; the force possibilities are classified as follows:
a) the bid price of each regional power distribution network is greater than zero: if feasible solution set X t The output pricing of the intelligent soft switch in t time period of any regional power distribution network meets O h,t >0 and O t,sum >0, the feasible scheme enables the operation cost of the distribution network in each area to be reduced;
b) the bid price of the power distribution network in the partial region is larger than zero: if feasible solution set X t The output quotation O of the intelligent soft switch which can only enable the partial regional power distribution network to be in the t period exists h,t >0, taking whether the overall cost of all the regional power distribution networks participating in the transaction can be reduced or not as feasibility evaluation criteria of the scheme; the following two cases are distinguished: one case is that the set of feasible solutions X t In the presence of oxygen t,sum >0, the operation cost of a single area or a plurality of areas is increased, but the overall operation cost of the system is reduced, which means that the benefit obtained by the area distribution network with reduced cost can complement the increased cost of the loss area distribution network, and the profit is still remained; alternatively, the set of possible scenarios X t In the presence of oxygen t,sum <0, the overall operation cost of the system rises at this time, and the system cannot be used as a final optimized operation scheme;
c) the bid price of each regional power distribution network is less than zero: if feasible solution set X t The output pricing of the intelligent soft switch in t time period of any regional power distribution network meets O h,t <The feasible scheme of 0 can increase the overall operation cost of the system, and the feasible scheme can not be used as a final decision scheme;
from the set of feasible solutions X t And selecting the scheme with the highest comprehensive price quotation as the optimal operation scheme of the intelligent soft switch according to the three conditions of a), b) and c).
4) According to the intelligent contract decision result in the step 3), the end-to-end electric energy transaction settlement of the multi-region flexible interconnected power distribution network is carried out by adopting a benefit sharing principle, and an electric energy transaction settlement result is output, wherein the method comprises the following steps: settlement amount of each regional power distribution network and transmission power of the multi-terminal intelligent soft switch. Wherein,
the settlement of the end-to-end electric energy transaction of the multi-region flexible interconnected power distribution network by adopting the benefit sharing principle is represented as follows:
M h,t ＝O t,av -O h,t (13)
in the formula, O t,av Representing the average profit of each regional power distribution network when settlement is carried out by adopting a profit sharing principle in the period t;
representing the maximum gain obtained by the whole system in the period t; s represents the total number of flexibly interconnected regional distribution networks; m h,t The settlement amount of the power distribution network h in the t time period region is M h,t If the sum is more than zero, the settlement mode is that M is obtained for the distribution network h in the time interval t area h,t An amount; if M is h,t If the settlement is less than zero, the settlement mode is the h payment | M of the distribution network in the time interval t region h,t The amount of money.
In order to verify the feasibility and the effectiveness of the end-to-end electric energy transaction method for the multi-region flexible interconnected power distribution network, the embodiment of the invention adopts the following two scenes for verification and analysis:
the first scheme is as follows: and the distribution network in each area does not participate in electric energy transaction, so that the operation level and the cost of the distribution network in the initial state are obtained.
Scheme II: and each flexible area power distribution network regulates and controls the output of each end of the intelligent soft switch based on the intelligent contract, and the end-to-end electric energy transaction of the multi-area flexible interconnected power distribution network is carried out.
In order to simplify the calculation, the output range of the intelligent soft switch is averagely divided into 25 grades from-3.0 MW to 3.0MW, wherein the output range of the intelligent soft switch is from 1 grade to 12 grades which correspondingly represent-3.0 MW to-0.25 MW, the output range of 13 grades represents 0MW, and the output range of 14 grades to 25 grades which correspondingly represent 0.25MW to 3.0 MW. And the intelligent contract accepts quotations submitted by each regional power distribution network for the output of each gear of the intelligent soft switch. With 15 minutes as a transaction period, the regional distribution network in each transaction period needs to calculate the system operation cost of the intelligent soft switch under different output forces to obtain the bidding willingness of the intelligent soft switch output force, as shown in fig. 4a, 4b, 4c and 4 d. In fig. 4a, 4b, 4c and 4d, the expected degree of the power distribution network in each area to output the intelligent soft switch is marked by the color depth. The intelligent soft switch port with the deepest color is used for outputting force in each trading period, so that the system operation cost in the current trading period is reduced to the maximum extent, and the intelligent soft switch port with the highest bidding willingness in the regional power distribution network is used for outputting force. And converting the system operation cost into a quotation of the output of the intelligent soft switch according to the bidding willingness of each regional power distribution network, and submitting the quotation to an intelligent contract. And in the second scheme, the intelligent contract is utilized to decide the optimal output scheme of the intelligent soft switch of the power distribution network in each region, and after the electric energy transaction settlement is completed, each region obtains the corresponding output value of the intelligent soft switch.
In the second scheme, after the intelligent contract decision is made, the active output of the intelligent soft switch port of each regional power distribution network is as shown in fig. 5. Table 5 shows the transaction results at time 3:00am based on smart contract decisions. The comparison of the system operation results of the first scheme and the second scheme is shown in table 6, and fig. 6 is a comparison of the total operation cost of the multi-region flexible interconnected power distribution network under the two schemes. Fig. 7 to 9 are graphs comparing the system operation loss, the voltage extreme value distribution and the amount of reduction of the distributed power supply in the two schemes.
TABLE 53 transaction results for 00am System
TABLE 6 comparison of the operational results of the system
The computer hardware environment for executing the optimization calculation is Intel (R) Xeon (R) CPU E5-1620, the main frequency is 3.70GHz, and the memory is 32 GB; the software environment is a Windows 10 operating system.
Compared with the first scheme without participating in market adjustment and the second scheme for carrying out electric energy trading based on the intelligent contract, the system operation loss is reduced by 10.10%, the consumption capacity of the distributed power supply is obviously improved, the voltage distribution is improved, the total operation cost of the system is reduced by 71.75%, the overall operation level of the system is effectively improved, and the high efficiency and the flexibility of the system operation are guaranteed.
According to the scheme I and the scheme II, the end-to-end electric energy transaction method for the multi-region flexible interconnected power distribution network can autonomously decide the active transmission power of each port of the intelligent soft switch, effectively improves the system operation economy, improves the system voltage distribution and improves the absorption capacity of the distributed power supply.
Claims (6)
1. An end-to-end electric energy transaction method for a multi-region flexible interconnected power distribution network is characterized by comprising the following steps:
1) respectively inputting topology and parameter information of the distribution network of each region, access positions and capacities of multi-terminal intelligent soft switches, access positions and power prediction curves of loads and distributed power supplies, and basic parameter information of system reference voltage and reference power according to the selected multi-region flexible interconnected distribution network;
2) establishing electric energy trading pricing strategies of each regional power distribution network in the multi-regional flexible interconnected power distribution network respectively according to basic parameter information of the multi-regional flexible interconnected power distribution network provided in the step 1), wherein the electric energy trading pricing strategies comprise the following steps: calculating the operation cost of each regional power distribution network by considering system operation loss, voltage deviation and distributed energy consumption factors to obtain an end-to-end electric energy transaction quotation set of each regional power distribution network;
3) according to the end-to-end electric energy transaction quotation set of the distribution network in each area in the step 2), a feasible scheme set is formed by considering active power transmission balance constraint of a multi-end intelligent soft switch, and intelligent contract decision is made based on an improved comprehensive quotation highest principle;
4) according to the intelligent contract decision result in the step 3), the end-to-end electric energy transaction settlement of the multi-region flexible interconnected power distribution network is carried out by adopting a benefit sharing principle, and an electric energy transaction settlement result is output, wherein the method comprises the following steps: settlement amount of each regional power distribution network and transmission power of the multi-terminal intelligent soft switch.
2. The end-to-end electric energy transaction method for the multi-region flexible interconnected power distribution network according to claim 1, wherein the calculation of the operation cost of each region power distribution network in consideration of the system operation loss, the voltage deviation and the distributed energy consumption factor in the step 2) is represented as:
C h,t ＝f loss ·ρ 1 +f v ·ρ 2 +f DG ·ρ 3 (1)
in the formula, C h,t Representing the operation cost of the distribution network h in the period t; f. of loss Representing the operation loss of the regional distribution network; f. of v Representing a voltage deviation cost conversion function of the regional distribution network; f. of DG Representing the amount of the distributed power supply reduction in the regional power distribution network; rho 1 、ρ 2 And ρ 3 Respectively representing electricity price, voltage deviation reduced cost and distributed power supply cut-down price; n is a radical of hydrogen T Represents the total number of time segments; omega b Representing all branch sets in the regional power distribution network; omega SOP Representing a node set connected with the multi-terminal intelligent soft switch; r is ij Represents the resistance value of branch ij; i is ij,t Representing the current amplitude of branch ij during time t;
the power loss of an intelligent soft switch port at a node i of the power distribution network in the t-period region is represented, and active power injected into an alternating-current side node by the intelligent soft switch port is taken as a positive direction; omega DG Representing an access node set of a distributed power supply in a regional power distribution network;
representing the active power reduction amount of the distributed power supply at the node i in the t period; omega n A node set representing a regional distribution network; u shape i,t Representing the voltage amplitude of the node i in the period t; g (U) i,t ) The voltage deviation cost conversion function of the node i in the t period is represented, the load loss cost of the out-of-limit node voltage is taken as a reference, and the voltage deviation cost is converted according to the voltage deviation proportion; p i,t Representing the active power injected by the node i in the period t;
andUrespectively representing the upper and lower limits of the voltage safe operation allowance;
andU thr respectively representing the upper limit and the lower limit of the expected operation of the voltage;
the operation loss of each port of the intelligent soft switch is reduced to the operation loss of the regional power distribution network connected with each port, and the operation constraint of the intelligent soft switch is expressed as follows:
in the formula,
representing the converter power loss of the intelligent soft switch at the h position of the power distribution network in the t-period region;
the active power of the converter AC side of the intelligent soft switch at h of the power distribution network in the t-period region is represented;
the method comprises the steps that the direct current active power of a current converter of an intelligent soft switch at a power distribution network h in a time t region is represented; a. the SOP And the loss factor of the current converter of the intelligent soft switch is shown.
3. The end-to-end electric energy trading method oriented to the multi-region flexible interconnected power distribution network according to claim 1, wherein the end-to-end electric energy trading offer of each region power distribution network in step 2) is represented as:
in the formula, O h,t The output quotation of the power distribution network h to the active power transmitted by the intelligent soft switch in the t-period area is represented; c h,t Representing the operation cost of the distribution network h in the period t;
the system operation reference cost of the regional distribution network h in the period t is expressed when the regional distribution network h does not participate in market adjustment, namely
The system running cost of (1) is taken as a reference cost if O h,t >0, the operation cost is reduced after the regional power distribution network participates in the electric energy transaction, and the income is obtained; if O is h,t <And 0, the operation cost is increased after the regional power distribution network participates in the electric energy transaction.
4. The end-to-end electric energy transaction method for the multi-zone flexible interconnected power distribution network according to claim 1, wherein the feasible solution set formed by considering the active power transmission balance constraint of the multi-end intelligent soft switch in the step 3) is represented as:
in the formula, S represents the total number of regional distribution networks in the multi-region flexible interconnected distribution network;
the active power transmitted by the intelligent soft switch at the h position of the power distribution network in the t period region is represented; x t The feasible scheme set of the output of the intelligent soft switch representing the t time period is an operation scheme meeting the active power transmission balance constraint of each port of the intelligent soft switch;
and
and respectively representing the active power transmitted by the intelligent soft switch at the area power distribution network 1, the area power distribution network 2 and the area power distribution network S in the t period.
5. The end-to-end electric energy transaction method for the multi-region flexible interconnected power distribution network according to claim 1, wherein the intelligent contract decision making based on the improved comprehensive quotation highest principle in the step 3) is represented as follows:
in the formula, O t,sum Representing comprehensive bids of S regional power distribution networks in a t period; s represents the total number of regional distribution networks in the multi-region flexible interconnected distribution network; o is h,t The output quotation of the power distribution network h to the active power transmitted by the intelligent soft switch in the t-period area is represented; x t Representing a feasible scheme set of the output of the intelligent soft switch in the t period; f (X) t ) A comprehensive quotation function representing a feasible scheme of the power distribution network in each region in the t period for the output of the intelligent soft switch;
representing the maximum gain obtained by the whole system in the period t;
the optimal operation scheme of the intelligent soft switch in the t period is represented, the operation scheme is the operation scheme with the maximum comprehensive bid of the distribution network in each area in all feasible schemes, and the overall cost of the system is reduced most at the moment;
and
respectively representing active power transmitted by the intelligent soft switch at a regional power distribution network 1, a regional power distribution network 2 and a regional power distribution network S in the optimal operation scheme of the intelligent soft switch at the t time period;
the intelligent contract decision-making means that feasible schemes for intelligent soft switch output are classified according to comprehensive bids of distribution networks in various regions, and a final decision-making scheme is selected according to the highest comprehensive price quotation principle; the force possibilities are classified as follows:
a) the bid price of each regional power distribution network is greater than zero: if feasible solution set X t The output pricing of the intelligent soft switch in t time period of any regional power distribution network meets O h,t >0 and O t,sum >0, the feasible scheme enables the operation cost of the distribution network in each area to be reduced;
b) the bid price of the power distribution network in the partial region is larger than zero:if feasible solution set X t The output quotation O of the intelligent soft switch which can only enable the partial regional power distribution network to be in the t period exists h,t >0, taking whether the overall cost of all the regional power distribution networks participating in the transaction can be reduced or not as feasibility evaluation criteria of the scheme; the following two cases are distinguished: one case is that the set of feasible solutions X t In the presence of oxygen t,sum >0, the operation cost of a single area or a plurality of areas is increased, but the overall operation cost of the system is reduced, which means that the benefit obtained by the area distribution network with reduced cost can complement the increased cost of the loss area distribution network, and the profit is still remained; alternatively, the set of possible scenarios X t In the process of making O t,sum <0, the overall operation cost of the system rises at this time, and the system cannot be used as a final optimized operation scheme;
c) the bid price of each regional power distribution network is less than zero: if feasible solution set X t The output pricing of the intelligent soft switch in t time period of any regional power distribution network meets O h,t <The feasible scheme of 0 can increase the overall operation cost of the system, and the feasible scheme can not be used as a final decision scheme;
from the set of feasible solutions X t And selecting the scheme with the highest comprehensive price quotation as the optimal operation scheme of the intelligent soft switch according to the three conditions of a), b) and c).
6. The end-to-end electric energy transaction method for the multi-region flexible interconnected power distribution network according to claim 1, wherein the settlement of the end-to-end electric energy transaction of the multi-region flexible interconnected power distribution network by adopting the benefit sharing principle in the step 4) is represented as follows:
M h,t ＝O t,av -O h,t (13)
in the formula, O t,av Average gain of each regional power distribution network when settlement is carried out by adopting benefit averaging principle in t periodThe method is simple;
representing the maximum gain obtained by the whole system in the period t; s represents the total number of flexibly interconnected regional distribution networks; m is a group of h,t The settlement amount of the distribution network h in the t period region is M h,t If the sum is more than zero, the settlement mode is that M is obtained for the distribution network h in the time interval t area h,t An amount; if M is h,t If the settlement is less than zero, the settlement mode is the h payment | M of the distribution network in the time interval t region h,t The amount of money.
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