CN112241803A - Inter-provincial and intra-provincial power balance coordination optimization method and system - Google Patents

Inter-provincial and intra-provincial power balance coordination optimization method and system Download PDF

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CN112241803A
CN112241803A CN201910653523.9A CN201910653523A CN112241803A CN 112241803 A CN112241803 A CN 112241803A CN 201910653523 A CN201910653523 A CN 201910653523A CN 112241803 A CN112241803 A CN 112241803A
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曾丹
杨争林
冯树海
张显
张圣楠
郑亚先
薛必克
史新红
王高琴
张旭
程海花
李竹
刘永辉
邵平
龙苏岩
陈爱林
郭艳敏
徐骏
吕建虎
叶飞
黄春波
杨辰星
冯凯
曹晓峻
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
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Abstract

A method and a system for inter-provincial and intra-provincial power balance coordination optimization comprise the following steps: acquiring inter-provincial trading member quotations, intra-provincial generator set quotations and electricity purchasing user quotations; calculating first clear electricity output and first electricity price of each market member between the provinces by adopting a pre-established main optimization model between the provinces based on the quoted price of the trade member between the provinces; calculating second output clear electricity quantity and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user; if the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are larger than the preset deviation value, adjusting the quotation strategy of the provincial members, recalculating until the errors are smaller than the preset deviation value, and realizing the provincial-provincial electricity balance.

Description

Inter-provincial and intra-provincial power balance coordination optimization method and system
Technical Field
The invention relates to the field of electric power automation, in particular to a method and a system for inter-province and intra-province electric power balance coordination optimization.
Background
At present, the construction pace of the electric power market is continuously accelerated. With the gradual maturity of the ultra-high voltage transmission technology, long-distance trans-provincial power transmission becomes an important way for power resource trans-regional optimization. The standardization and the modeling of the provincial electric power transaction greatly increase the transaction amount. However, the electric power inter-provincial market still has the problems of difficult promotion, serious inter-provincial trade barrier and the like. The situation of uneven energy distribution usually exists in the operation of a power system, renewable energy bases such as coal resources, hydroelectric resources, wind power or photovoltaic power generation are distributed in different geographical positions, the renewable energy bases are too dispersed, the power demand of a power load center is continuously increased, the renewable energy bases are far away from the geographical positions where various power resources are located, the scale and distance of the energy flow direction can be further increased, and the situation of reverse distribution of energy demand and resource supply is caused. Therefore, requirements are provided for the optimal configuration capacity of power resources in a larger range, and the inter-provincial and intra-provincial power balance can be realized only by comprehensively considering the quotation modes of the inter-provincial and intra-provincial market members. At present, the provincial and intra-provincial power markets are not linked, and are still in the stage of hierarchical organization transaction, flexible distribution of power resources between the provincial and intra-provincial markets cannot be realized, and the provincial and intra-provincial power markets are in a power utilization balance state, so that the waste of the power resources is caused.
Disclosure of Invention
In order to solve the problem of power resource waste caused by the fact that the provincial and intra-provincial power markets are not connected in the prior art, the invention provides a provincial and intra-provincial power balance coordination optimization method and a system.
The technical scheme provided by the invention is as follows:
the improvement of a coordination optimization method for provincial and provincial power balance, which comprises the following steps:
acquiring inter-provincial trading member quotations, intra-provincial generator set quotations and electricity purchasing user quotations;
calculating first clear electricity output and first electricity price of each market member between the provinces by adopting a pre-established main optimization model between the provinces based on the quoted price of the trade member between the provinces;
calculating second output clear electricity quantity and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user; if the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity quantity, the first electricity price, the second clear electricity quantity and the second electricity price until the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
the inter-provincial market members include: the generator set and the electricity purchasing user participate in inter-provincial transaction;
the provincial market members include: the system comprises a generator set positioned in province, a power purchasing user and an external generator set positioned in other provinces and participating in intra-province transaction.
Preferably, the pre-established inter-provincial master optimization model comprises:
a first objective function and a plurality of first constraints;
the first constraint includes: inter-provincial power generation electricity purchasing balance constraint and inter-provincial available conveying capacity constraint.
Preferably, the inter-provincial power generation electricity purchasing balance constraint is as follows:
Figure BDA0002136094650000021
in the formula,
Figure BDA0002136094650000022
line loss;
the interprovincial available transport capacity constraints are as follows:
Figure BDA0002136094650000023
wherein:
Tlt≤ATClt
in the formula,
Figure BDA0002136094650000024
the amount of electricity generated by the generator i,
Figure BDA0002136094650000025
the electricity purchasing quantity of the electricity purchasing company j; t islt: the power flow of the line l in the period t;
Figure BDA0002136094650000026
a generator i distributes a factor to the tidal current sensitivity of the line l in a period t;
Figure BDA0002136094650000027
a power supplier j applies a power flow sensitivity distribution factor to the line l in a period t; ATClt: available transport capacity of line l.
Preferably, the first objective function is expressed by the following formula:
Max Stot=Ucon-Cpla
in the formula, Stot: a social profit maximization target value; u shapecon: total price quoted by the electricity purchasing side; cpla: total quotation of the power generation side;
wherein, the total price of the electricity purchasing side is UconThe calculation is performed as follows:
Figure BDA0002136094650000028
in the formula, d: a power purchasing party; d: a power purchasing party set; b: a transaction contract number; b: a transaction contract set; t: a quote period; t: a set of time periods;
Figure BDA0002136094650000031
the price of a trading contract b of the power buyer d in the period t;
Figure BDA0002136094650000032
the electric quantity of a trading contract b of the electricity purchasing party d at the moment t;
the total price C of the power generation sideplaThe calculation is performed as follows:
Figure BDA0002136094650000033
in the formula, pla: a power plant; PLA: a power generation plant set;
Figure BDA0002136094650000034
the price of the power plant pla at time t;
Figure BDA0002136094650000035
the power of the power plant pla during time t.
Preferably, the calculating the second output clear electricity quantity and the second electricity price of each market member in the province by using a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user comprises:
calculating the power generation cost of an external power generator set which participates in intra-provincial transaction and is positioned in other provinces based on the first clear power amount and the first power price;
and calculating second clear electricity output and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model based on the electricity generation cost, the province interior generator set and the electricity purchasing user quotation.
Preferably, the pre-established introspection optimization model comprises:
a second objective function and a plurality of second constraints;
the second constraint includes: the system comprises a control area power supply and demand balance constraint, a generator set operation constraint, a control area network safety constraint and a rotary standby constraint.
Preferably, the control area power supply and demand balance constraint is as follows:
Figure BDA0002136094650000036
wherein,
Figure BDA0002136094650000037
the generated output of the generator set s in the period t,
Figure BDA0002136094650000038
representing the user h payload for a period of t,
Figure BDA0002136094650000039
total network loss of the intra-province system in the t period.
The generator set operating constraints are as follows:
Figure BDA00021360946500000310
wherein,
Figure BDA00021360946500000311
s output of generator setAn upper limit of power;
Figure BDA00021360946500000312
the lower limit of the output power of the generator set s;
the network security constraint in the control area is as follows:
Figure BDA0002136094650000041
Figure BDA0002136094650000042
wherein,
Figure BDA0002136094650000043
limiting the forward power flow of the cross section u-v of the tie line in the t period;
Figure BDA0002136094650000044
limiting reverse power flow of a cross section u-v of the connecting line;
Figure BDA0002136094650000045
the forward power flow value of a cross section u-v of the tie line in the t period;
Figure BDA0002136094650000046
the reverse power flow value of the cross section u-v of the tie line in the t period;
the rotational standby constraint is as follows:
Figure BDA0002136094650000047
Figure BDA0002136094650000048
wherein,
Figure BDA0002136094650000049
the up-regulation rotation is provided for the unit s at t for standby;
Figure BDA00021360946500000410
the up-regulation rotation standby requirement is met when the system is in the t state;
Figure BDA00021360946500000411
downward adjustment rotation is provided for the unit s at t for standby;
Figure BDA00021360946500000412
spinning reserve demand for turndown at system t.
Preferably, the second objective function is represented by the following formula:
Figure BDA00021360946500000413
Figure BDA00021360946500000414
in the formula, F: the cost of electricity generation;
Figure BDA00021360946500000415
the running cost of the unit s in the time period t; k; number of time periods during market trading; s: a system unit; s: number of system units.
Preferably, the adjusting the bidding strategy of the provincial market member comprises:
and based on the power generation cost, the first electricity price of the external wind turbine units which participate in the intra-provincial transaction and are positioned in other provinces is adjusted downwards.
Based on the same invention concept, the invention also provides a system for coordination and optimization of provincial and intra-provincial power balance, which comprises an acquisition module, a calculation module and an adjustment module;
an acquisition module: the system is used for acquiring inter-provincial and intra-provincial trading member electricity prices;
a first calculation module: the inter-provincial main optimization model is used for calculating first clearing power and first electricity price of each market member in the inter-provincial department based on the quoted price of the inter-provincial trading member;
a second calculation module: the system comprises a first power generation unit, a second power generation unit, a power purchase user, a first power generation unit, a second power generation unit and a second power generation unit, wherein the first power generation unit is used for generating power for the power generation user; if the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity amount, the first electricity price, the second clear electricity amount and the second electricity price until the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
the inter-provincial market members include: the generator set and the electricity purchasing user participate in inter-provincial transaction;
the provincial market members include: the generator set in province and the electricity purchasing user participate in the province transaction and are located outside the other provinces.
Compared with the prior art, the invention has the beneficial effects that:
according to the technical scheme provided by the invention, the inter-province main optimization model and the intra-province sub-optimization model are established, and the inter-province and intra-province two-stage market is coupled, so that the coordination optimization of power resources in the inter-province and intra-province market can be realized, and the real-time balance of inter-province and intra-province power utilization is realized;
the technical scheme provided by the invention is easy to understand, strong in feasibility and wide in application range.
Drawings
FIG. 1 is a schematic diagram of the inter-provincial and intra-provincial power balance coordination optimization method of the present invention;
FIG. 2 is a schematic diagram of the inter-provincial and intra-provincial power balance coordination optimization system of the present invention;
FIG. 3 is a two-layer optimized clean-out model framework of the present invention;
FIG. 4 is a flow chart of the coupled double-layer optimized clearing process for the power market.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
Example 1:
a method for inter-provincial and intra-provincial power balance coordination optimization, as shown in fig. 1, includes:
step 1: acquiring inter-provincial trading member quotations, intra-provincial generator set quotations and electricity purchasing user quotations;
step 2: calculating first clear electricity output and first electricity price of each market member between the provinces by adopting a pre-established main optimization model between the provinces based on the quoted price of the trade member between the provinces;
and step 3: calculating second output clear electricity quantity and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user; if the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity quantity, the first electricity price, the second clear electricity quantity and the second electricity price until the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
the inter-provincial market members include: the generator set and the electricity purchasing user participate in inter-provincial transaction;
the provincial market members include: the system comprises a generator set positioned in province, a power purchasing user and an external generator set positioned in other provinces and participating in intra-province transaction.
Step 1: acquiring inter-provincial trading member quotations, intra-provincial generator set quotations and electricity purchasing user quotations;
step 2: calculating first clear electricity output and first electricity price of each market member between the provinces by adopting a pre-established main optimization model between the provinces based on the quoted price of the trade member between the provinces;
specifically, the pre-established inter-provincial master optimization model includes:
a first objective function and a plurality of first constraints;
the first constraint includes: inter-provincial power generation electricity purchasing balance constraint and inter-provincial available conveying capacity constraint.
Specifically, the inter-provincial power generation electricity purchasing balance constraint is shown as follows:
Figure BDA0002136094650000061
in the formula,
Figure BDA0002136094650000062
line loss;
the interprovincial available transport capacity constraints are as follows:
Figure BDA0002136094650000063
wherein:
Tlt≤ATClt
in the formula,
Figure BDA0002136094650000071
the amount of electricity generated by the generator i,
Figure BDA0002136094650000072
the electricity purchasing quantity of the electricity purchasing company j; t islt: the power flow of the line l in the period t;
Figure BDA0002136094650000073
a generator i distributes a factor to the tidal current sensitivity of the line l in a period t;
Figure BDA0002136094650000074
a power supplier j applies a power flow sensitivity distribution factor to the line l in a period t; ATClt: available transport capacity of line l.
Specifically, the first objective function is expressed by the following formula:
Max Stot=Ucon-Cpla
in the formula,Stot: a social profit maximization target value; u shapecon: total price quoted by the electricity purchasing side; cpla: total quotation of the power generation side;
wherein, the total price of the electricity purchasing side is UconThe calculation is performed as follows:
Figure BDA0002136094650000075
in the formula, d: a power purchasing party; d: a power purchasing party set; b: a transaction contract number; b: a transaction contract set; t: a quote period; t: a set of time periods;
Figure BDA0002136094650000076
the price of a trading contract b of the power buyer d in the period t;
Figure BDA0002136094650000077
the electric quantity of a trading contract b of the electricity purchasing party d at the moment t;
the total price C of the power generation sideplaThe calculation is performed as follows:
Figure BDA0002136094650000078
in the formula, pla: a power plant; PLA: a power generation plant set;
Figure BDA0002136094650000079
the price of the power plant pla at time t;
Figure BDA00021360946500000710
the power of the power plant pla during time t.
And step 3: calculating second output clear electricity quantity and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user; if the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity quantity, the first electricity price, the second clear electricity quantity and the second electricity price until the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
specifically, calculating the second output clear electricity quantity and the second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user comprises the following steps:
calculating the power generation cost of an external power generator set which participates in intra-provincial transaction and is positioned in other provinces based on the first clear power amount and the first power price;
and calculating second clear electricity output and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model based on the electricity generation cost, the province interior generator set and the electricity purchasing user quotation.
Specifically, the pre-established provincial interior sub-optimization model comprises:
a second objective function and a plurality of second constraints;
the second constraint includes: the system comprises a control area power supply and demand balance constraint, a generator set operation constraint, a control area network safety constraint and a rotary standby constraint.
Specifically, the control area power supply and demand balance constraint is as follows:
Figure BDA0002136094650000081
wherein,
Figure BDA0002136094650000082
the generated output of the generator set s in the period t,
Figure BDA0002136094650000083
the user h payload is taken during the period t,
Figure BDA0002136094650000084
in provinceTotal loss of the system during time t.
The generator set operating constraints are as follows:
Figure BDA0002136094650000085
wherein,
Figure BDA0002136094650000086
the upper limit of the output power of the generator set s;
Figure BDA0002136094650000087
the lower limit of the output power of the generator set s;
the network security constraint in the control area is as follows:
Figure BDA0002136094650000088
Figure BDA0002136094650000089
wherein,
Figure BDA00021360946500000810
limiting the forward power flow of the cross section u-v of the tie line in the t period;
Figure BDA00021360946500000811
limiting reverse power flow of a cross section u-v of the connecting line;
Figure BDA00021360946500000812
the forward power flow value of a cross section u-v of the tie line in the t period;
Figure BDA00021360946500000815
the reverse power flow value of the cross section u-v of the tie line in the t period;
the rotational standby constraint is as follows:
Figure BDA00021360946500000814
Figure BDA0002136094650000091
wherein,
Figure BDA0002136094650000092
the set s is provided with an upward adjustment rotation for standby at t;
Figure BDA0002136094650000093
the up-regulation rotation standby requirement of the system t;
Figure BDA0002136094650000094
downward regulation rotation provided by the unit s at t is reserved;
Figure BDA0002136094650000095
the down turn at system t rotates the standby demand.
Specifically, the second objective function is expressed by the following formula:
Figure BDA0002136094650000096
Figure BDA0002136094650000097
in the formula, F: the cost of electricity generation;
Figure BDA0002136094650000098
the running cost of the unit s in the time period t; k; number of time periods during market trading; s: a system unit; s: number of system units.
Specifically, the adjusting the bidding strategy of the provincial market member comprises:
and based on the power generation cost, the first electricity price of the external wind turbine units which participate in the intra-provincial transaction and are positioned in other provinces is adjusted downwards.
Example 2:
an inter-province and intra-province power balance coordination optimization system is shown in fig. 2 and comprises an acquisition module, a calculation module and an adjustment module;
an acquisition module: the system is used for acquiring inter-provincial and intra-provincial trading member electricity prices;
a first calculation module: the inter-provincial main optimization model is used for calculating first clearing power and first electricity price of each market member in the inter-provincial department based on the quoted price of the inter-provincial trading member;
a second calculation module: the system comprises a first power generation unit, a second power generation unit, a power purchase user, a first power generation unit, a second power generation unit and a second power generation unit, wherein the first power generation unit is used for generating power for the power generation user; if the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity amount, the first electricity price, the second clear electricity amount and the second electricity price until the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
the inter-provincial market members include: the generator set and the electricity purchasing user participate in inter-provincial transaction;
the provincial market members include: the generator set in province and the electricity purchasing user participate in the province transaction and are located outside the other provinces.
In the first calculation module, the pre-established inter-provincial master optimization model includes:
a first objective function and a plurality of first constraints;
the first constraint includes: inter-provincial power generation electricity purchasing balance constraint and inter-provincial available conveying capacity constraint.
Specifically, the inter-provincial power generation electricity purchasing balance constraint is shown as follows:
Figure BDA0002136094650000101
in the formula,
Figure BDA0002136094650000102
line loss;
the interprovincial available transport capacity constraints are as follows:
Figure BDA0002136094650000103
wherein:
Tlt≤ATClt
in the formula,
Figure BDA0002136094650000104
the amount of electricity generated by the generator i,
Figure BDA0002136094650000105
the electricity purchasing quantity of the electricity purchasing company j; t islt: the power flow of the line l in the period t;
Figure BDA0002136094650000106
a generator i distributes a factor to the tidal current sensitivity of the line l in a period t;
Figure BDA0002136094650000107
a power supplier j applies a power flow sensitivity distribution factor to the line l in a period t; ATClt: available transport capacity of line l.
Specifically, the first objective function is expressed by the following formula:
Max Stot=Ucon-Cpla
in the formula, Stot: a social profit maximization target value; u shapecon: total price quoted by the electricity purchasing side; cpla: total quotation of the power generation side;
wherein, the total price of the electricity purchasing side is UconThe calculation is performed as follows:
Figure BDA0002136094650000108
in the formula, d: a power purchasing party; d: a power purchasing party set; b: a transaction contract number; b: a transaction contract set; t: a quote period; t: a set of time periods;
Figure BDA0002136094650000109
the price of a trading contract b of the power buyer d in the period t;
Figure BDA00021360946500001010
the electric quantity of a trading contract b of the electricity purchasing party d at the moment t;
the total price C of the power generation sideplaThe calculation is performed as follows:
Figure BDA0002136094650000111
in the formula, pla: a power plant; PLA: a power generation plant set;
Figure BDA0002136094650000112
the price of the power plant pla at time t;
Figure BDA0002136094650000113
the power of the power plant pla during time t.
In the second calculation module, calculating the second output clear electricity quantity and the second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user comprises the following steps:
calculating the power generation cost of an external power generator set which participates in intra-provincial transaction and is positioned in other provinces based on the first clear power amount and the first power price;
and calculating second clear electricity output and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model based on the electricity generation cost, the province interior generator set and the electricity purchasing user quotation.
Specifically, the pre-established provincial interior sub-optimization model comprises:
a second objective function and a plurality of second constraints;
the second constraint includes: the system comprises a control area power supply and demand balance constraint, a generator set operation constraint, a control area network safety constraint and a rotary standby constraint.
Specifically, the control area power supply and demand balance constraint is as follows:
Figure BDA0002136094650000114
wherein,
Figure BDA0002136094650000115
the generated output of the generator set s in the period t,
Figure BDA0002136094650000116
representing the user h payload for a period of t,
Figure BDA0002136094650000117
total network loss of the intra-province system in the t period.
The generator set operating constraints are as follows:
Figure BDA0002136094650000118
wherein,
Figure BDA0002136094650000119
the upper limit of the output power of the generator set s;
Figure BDA00021360946500001110
the lower limit of the output power of the generator set s;
the network security constraint in the control area is as follows:
Figure BDA00021360946500001111
Figure BDA00021360946500001112
wherein,
Figure BDA0002136094650000121
limiting the forward power flow of the cross section u-v of the tie line in the t period;
Figure BDA0002136094650000122
limiting reverse power flow of a cross section u-v of the connecting line;
Figure BDA0002136094650000123
the forward power flow value of a cross section u-v of the tie line in the t period;
Figure BDA0002136094650000124
the reverse power flow value of the cross section u-v of the tie line in the t period;
the rotational standby constraint is as follows:
Figure BDA0002136094650000125
Figure BDA0002136094650000126
wherein,
Figure BDA0002136094650000127
the up-regulation rotation is provided for the unit s at t for standby;
Figure BDA0002136094650000128
the up-regulation rotation standby requirement is met when the system is in the t state;
Figure BDA0002136094650000129
downward adjustment rotation is provided for the unit s at t for standby;
Figure BDA00021360946500001210
spinning reserve demand for turndown at system t.
Specifically, the second objective function is expressed by the following formula:
Figure BDA00021360946500001211
Figure BDA00021360946500001212
in the formula, F: the cost of electricity generation;
Figure BDA00021360946500001213
the running cost of the unit s in the time period t; k; number of time periods during market trading; s: a system unit; s: number of system units.
Specifically, the adjusting the bidding strategy of the provincial market member comprises:
and based on the power generation cost, the first electricity price of the external wind turbine units which participate in the intra-provincial transaction and are positioned in other provinces is adjusted downwards.
Example 3
In the technical scheme provided by the invention, the inter-provincial transaction clearing power and electricity price results are brought into the intra-provincial optimization clearing model, so that the coordination coupling of the inter-provincial transaction and the intra-provincial transaction is realized, the double-layer optimization problem can also be called as a two-stage coordination coupling model, and the double-layer optimization clearing model framework is shown in fig. 3. The first layer of optimization model is an inter-provincial main optimization model, and the second layer of optimization model is an intra-provincial sub-optimization model. The input data is divided into three categories: quote data, topology data, and network data. The quotation data mainly comprises different types of quotation information; the topological data mainly refer to node information of a physical power grid and upper and lower quotation limits of each price area, namely a physical network model corresponding to each market member; the network data mainly includes various constraints of the physical power grid, such as unit operation constraints, tie line transmission capacity constraints, electricity purchasing and selling balance constraints, and the like. Outputting data: the clearing price and the clearing power of each market member.
The coupling double-layer optimization clearing process is shown as the attached figure 4, and comprises the following specific steps:
step 1: and acquiring inter-provincial trading member quotations, intra-provincial generator sets and electricity purchasing user quotations.
Step 2: and calculating the first output clear electricity quantity and the first electricity price of each market member among the provinces by adopting a pre-established main optimization model among the provinces based on the quoted prices of the trade members among the provinces.
Converting the double-layer optimization model into a first-level main sub-optimization model, bringing a lower-layer provincial simplified equivalent model, including equivalent power generation nodes and equivalent load nodes, into the upper-layer provincial transaction, and considering the electricity balance for whole network generation and the transmission capacity of the provincial interconnection lines, but not considering the safety constraint of the intra-provincial network;
performing inter-provincial optimization, wherein the first clear electricity output and the first electricity price of the inter-provincial market members, namely the clear electricity output and the electricity price of the inter-provincial power generation set and the electricity purchasing user, which are obtained by the inter-provincial optimization are used as input conditions of lower layer calculation to enter a lower layer optimization model, at the moment, the power generation sets participating in inter-provincial trading and located in other provinces are converted into intra-provincial market members to serve as boundaries of sub-problem intra-provincial optimization trading, the boundaries refer to the clear electricity output and the electricity price of the inter-provincial market participating in the inter-provincial trading and the electricity purchasing user, the input conditions of the lower layer calculation are entered into the lower layer optimization model, at the moment, the power generation sets participating in the inter-provincial trading and located in other provincial markets are converted into intra-provincial market members to participate in intra-provincial;
and step 3: calculating second output clear electricity quantity and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user; if the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity quantity, the first electricity price, the second clear electricity quantity and the second electricity price until the errors of the first clear electricity quantity, the second clear electricity quantity, the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
the inter-provincial market members include: the generator set and the electricity purchasing user participate in inter-provincial transaction;
the provincial market members include: the generator set in province and the electricity purchasing user participate in the province transaction and are located outside the other provinces.
Performing sub-optimization calculation on the intra-provincial transaction based on a detailed optimization clearing model to obtain second clearing electric quantity and electricity price of intra-provincial market members, namely clearing electric quantity and electricity price of the generator set and electricity purchasing users positioned in the intra-province and external generator sets positioned in other provinces participating in intra-provincial transaction; and when the clear electricity output and the electricity price of the external generator set positioned in other provinces obtained by the sub-optimization clear electricity output calculation and the clear electricity output and the electricity price of the inter-province optimization calculation result are larger than the set deviation value, whether the external electricity output and the electricity price in the provinces are consistent with the inter-province market calculation result or not is judged.
And on the basis of the power generation cost, the electricity prices of the external generator sets in other provinces participating in intra-province transaction are reduced, and the optimization calculation of inter-province transaction is carried out again until the output clear electricity quantity and the electricity prices of the external generator sets in other provinces and the output clear electricity quantity and the electricity prices of the inter-province optimization calculation result are smaller than the set deviation value, so that the optimal output clear price and the electricity quantity of the inter-province and intra-province market members are obtained.
The criteria for dividing regions in the present invention are: setting a country as a first level, and sequentially setting levels according to the power grid distribution form of the country;
in this embodiment, taking china as an example, china is set as the first level; five areas are arranged in China, and are the second level; wherein the regions of the second stage comprise: the province-oriented provinces, and the north-oriented province-oriented provinc. Taking the east China region of the second level as an example, the third level includes Jiangsu, Anhui, Zhejiang, Fujian and Shanghai. Although this embodiment takes china as an example, the present invention is not limited to china, and the province mentioned above corresponds to the third level in the power grid.
The above facts indicate that: the technical scheme provided by the invention can make a deterministic provincial and provincial unified plan, for the same transaction period, the provincial and provincial internal unified platform organizes market transaction, and the provincial and provincial transaction result is taken as an input condition to be brought into the provincial issue and use balance. For example, in the day-ahead market, inter-provincial clearing and intra-provincial clearing are synchronous, so that the mutual iterative process of time sequence and transaction results is avoided, the two-stage market organization efficiency is effectively improved, the inter-provincial and intra-provincial simultaneous transaction is realized from the continuous operation perspective, the power generation and utilization resources can be optimized in a full range, the power grid transmission capacity is excavated, and the real-time power balance in the inter-provincial and intra-provincial power utilization is realized.
It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (10)

1. A method for inter-provincial and intra-provincial power balance coordination optimization is characterized by comprising the following steps:
acquiring inter-provincial trading member quotations, intra-provincial generator set quotations and electricity purchasing user quotations;
calculating first clear electricity output and first electricity price of each market member between the provinces by adopting a pre-established main optimization model between the provinces based on the quoted price of the trade member between the provinces;
calculating second output clear electricity quantity and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model according to the first output clear electricity quantity and the first electricity price and the quotations of the province interior generator set and the electricity purchasing user; if the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity amount, the first electricity price, the second clear electricity amount and the second electricity price until the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
the inter-provincial market members include: the generator set and the electricity purchasing user participate in inter-provincial transaction;
the provincial market members include: the system comprises a generator set positioned in province, a power purchasing user and an external generator set positioned in other provinces and participating in intra-province transaction.
2. The inter-provincial intra-provincial power balance coordination optimization method according to claim 1, wherein the pre-established inter-provincial main optimization model comprises:
a first objective function and a plurality of first constraints;
the first constraint includes: inter-provincial power generation electricity purchasing balance constraint and inter-provincial available conveying capacity constraint.
3. The inter-provincial and intra-provincial power balance coordination optimization method according to claim 2, wherein the inter-provincial power generation purchase balance constraint is expressed by the following formula:
Figure FDA0002136094640000011
in the formula,
Figure FDA0002136094640000012
line loss;
the interprovincial available transport capacity constraints are as follows:
Figure FDA0002136094640000013
wherein:
Tlt≤ATClt
in the formula,
Figure FDA0002136094640000014
the amount of electricity generated by the generator i,
Figure FDA0002136094640000015
the electricity purchasing quantity of the electricity purchasing company j; t islt: the power flow of the line l in the period t;
Figure FDA0002136094640000016
a generator i distributes a factor to the tidal current sensitivity of the line l in a period t;
Figure FDA0002136094640000017
a power supplier j applies a power flow sensitivity distribution factor to the line l in a period t; ATClt: available transport capacity of line l.
4. The inter-provincial intra-provincial power balance coordination optimization method according to claim 3, wherein the first objective function is expressed by the following formula:
Max Stot=Ucon-Cpla
in the formula, Stot: a social profit maximization target value; u shapecon: total price quoted by the electricity purchasing side; cpla: total quotation of the power generation side;
wherein, the total price of the electricity purchasing side is UconThe calculation is performed as follows:
Figure FDA0002136094640000021
in the formula, d: a power purchasing party; d: a power purchasing party set; b: a transaction contract number; b: a transaction contract set; t: a quote period; t: a set of time periods;
Figure FDA0002136094640000022
the price of a trading contract b of the power buyer d in the period t;
Figure FDA0002136094640000023
the electric quantity of a trading contract b of the electricity purchasing party d at the moment t;
the total price C of the power generation sideplaThe calculation is performed as follows:
Figure FDA0002136094640000024
in the formula, pla: a power plant; PLA: a power generation plant set;
Figure FDA0002136094640000025
the price of the power plant pla at time t;
Figure FDA0002136094640000026
the power of the power plant pla during time t.
5. The inter-provincial and intra-provincial power balance coordination optimization method according to claim 1, wherein the calculating of the second discharge amount and the second power price of each market member in the province by using a pre-established intra-provincial sub-optimization model according to the first discharge amount and the first power price and the price of the intra-provincial power generation set and the electricity purchasing user comprises:
calculating the power generation cost of an external power generator set which participates in intra-provincial transaction and is positioned in other provinces based on the first clear power amount and the first power price;
and calculating second clear electricity output and second electricity price of each market member in the province by adopting a pre-established province interior sub optimization model based on the electricity generation cost, the province interior generator set and the electricity purchasing user quotation.
6. The inter-provincial intra-provincial power balance coordination optimization method according to claim 3, wherein the pre-established intra-provincial sub-optimization model comprises:
a second objective function and a plurality of second constraints;
the second constraint includes: the system comprises a control area power supply and demand balance constraint, a generator set operation constraint, a control area network safety constraint and a rotary standby constraint.
7. The inter-provincial intra-provincial power balance coordination optimization method according to claim 6, wherein the control area power supply and demand balance constraint is expressed by the following formula:
Figure FDA0002136094640000031
wherein, Ps t: the generated output of the generator set s in the period t,
Figure FDA0002136094640000032
representing the user h payload for a period of t,
Figure FDA0002136094640000033
total network loss of the intra-province system in the t period.
The generator set operating constraints are as follows:
Figure FDA0002136094640000034
wherein,
Figure FDA0002136094640000035
the upper limit of the output power of the generator set s;
Figure FDA0002136094640000036
the lower limit of the output power of the generator set s;
the network security constraint in the control area is as follows:
Figure FDA0002136094640000037
Figure FDA0002136094640000038
wherein,
Figure FDA0002136094640000039
limiting the forward power flow of the cross section u-v of the tie line in the t period;
Figure FDA00021360946400000310
limiting reverse power flow of a cross section u-v of the connecting line;
Figure FDA00021360946400000311
the forward power flow value of a cross section u-v of the tie line in the t period;
Figure FDA00021360946400000312
the reverse power flow value of the cross section u-v of the tie line in the t period;
the rotational standby constraint is as follows:
Figure FDA00021360946400000313
Figure FDA00021360946400000314
wherein,
Figure FDA00021360946400000315
the up-regulation rotation is provided for the unit s at t for standby;
Figure FDA00021360946400000316
the up-regulation rotation standby requirement is met when the system is in the t state;
Figure FDA00021360946400000317
downward adjustment rotation is provided for the unit s at t for standby;
Figure FDA00021360946400000318
spinning reserve demand for turndown at system t.
8. The inter-provincial intra-provincial power balance coordination optimization method according to claim 6, wherein the second objective function is expressed by the following formula:
Figure FDA0002136094640000041
Figure FDA0002136094640000042
in the formula, F: the cost of electricity generation;
Figure FDA0002136094640000043
the running cost of the unit s in the time period t; k; number of time periods during market trading; s: a system unit; s: number of system units.
9. The inter-provincial intra-provincial power balance coordination optimization method of claim 1, wherein the adjusting of the intra-provincial market member's quotation strategy comprises:
and based on the power generation cost, the first electricity price of the external wind turbine units which participate in the intra-provincial transaction and are positioned in other provinces is adjusted downwards.
10. An inter-province and intra-province power balance coordination optimization system is characterized by comprising an acquisition module, a calculation module and an adjustment module;
an acquisition module: the system is used for acquiring inter-provincial and intra-provincial trading member electricity prices;
a first calculation module: the inter-provincial main optimization model is used for calculating first clearing power and first electricity price of each market member in the inter-provincial department based on the quoted price of the inter-provincial trading member;
a second calculation module: the system comprises a first power generation unit, a second power generation unit, a power purchase user, a first power generation unit, a second power generation unit and a second power generation unit, wherein the first power generation unit is used for generating power for the power generation user; if the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are larger than a preset deviation value, adjusting a quotation strategy of provincial market members, recalculating the first clear electricity amount, the first electricity price, the second clear electricity amount and the second electricity price until the errors of the first clear electricity amount, the second clear electricity amount and the first electricity price and the second electricity price are smaller than the preset deviation value, and realizing provincial and provincial electricity balance;
the inter-provincial market members include: the generator set and the electricity purchasing user participate in inter-provincial transaction;
the provincial market members include: the generator set in province and the electricity purchasing user participate in the province transaction and are located outside the other provinces.
CN201910653523.9A 2019-07-19 2019-07-19 Inter-provincial and intra-provincial power balance coordination optimization method and system Pending CN112241803A (en)

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CN114022182A (en) * 2021-09-30 2022-02-08 国电南瑞南京控制系统有限公司 Inter-provincial and intra-provincial power market coupling clearing method and device under complex power grid
CN115034587A (en) * 2022-05-25 2022-09-09 国网浙江省电力有限公司经济技术研究院 Inter-provincial and intra-provincial electric quantity interaction method considering risks
CN116632935A (en) * 2023-04-24 2023-08-22 华北电力大学 Balance unit-based power system balance optimization method
CN116632935B (en) * 2023-04-24 2023-11-03 华北电力大学 Balance unit-based power system balance optimization method
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