CN110930188A - New energy and thermal power bundling transaction pricing method considering resource complementary characteristics - Google Patents

New energy and thermal power bundling transaction pricing method considering resource complementary characteristics Download PDF

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CN110930188A
CN110930188A CN201911137023.6A CN201911137023A CN110930188A CN 110930188 A CN110930188 A CN 110930188A CN 201911137023 A CN201911137023 A CN 201911137023A CN 110930188 A CN110930188 A CN 110930188A
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power
thermal power
new energy
bundling
transaction
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丁涛
刘诗雨
别朝红
任彦哲
贺元康
荣玉
刘瑞丰
陈天恩
何方波
李娟�
李晓君
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STATE GRID NORTHWEST CHINA GRID Co Ltd
Xian Jiaotong University
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STATE GRID NORTHWEST CHINA GRID Co Ltd
Xian Jiaotong University
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Abstract

A new energy and thermal power bundling transaction pricing method considering resource complementary characteristics comprises the steps of firstly, making a basic strategy of bundling outgoing transaction; then, a monthly bundling transaction optimization model of wind, light and thermal power in province is established, the wind abandoning cost and the light abandoning cost are calculated by taking the minimum power generation cost of a sending end region as an objective function, and the optimal new energy and thermal power bundling configuration proportion is obtained by optimizing and solving the power balance, the ramp constraint of a thermal power unit, the minimum continuous start-stop time constraint, the capacity constraint, the actual output constraint of new energy, the light abandoning constraint of wind abandoning, the bundling proportion constraint and the like; and decomposing the transaction electric quantity of the new energy and the thermal power by using an electric quantity matching method based on the optimal bundling proportion, and obtaining a bundling transaction price and a landing transaction price by adopting a weighting method of the new energy and the thermal power internet transaction price, thereby ensuring that the receiving end landing price is the lowest. The method can comprehensively consider the resource complementary characteristics of wind and light, the power utilization requirement and the price bearing capacity of the receiving-end power grid, ensure the benefits of each power generation main body and promote the outward delivery and the absorption of large-scale new energy power.

Description

New energy and thermal power bundling transaction pricing method considering resource complementary characteristics
Technical Field
The invention belongs to the technical field of new energy electric power transaction, and particularly relates to a new energy and thermal power bundling transaction pricing method considering resource complementary characteristics.
Background
With the continuous increase of the installed capacity of new energy in China, the delivery and consumption of new energy become the main problems which puzzle the healthy and stable development of new energy in China at present, and the phenomenon of 'nest electricity' of new energy in northwest China is frequent. Different from a foreign new energy decentralized conveying mode, the combined bundling and outward conveying of large-scale new energy and thermal power highly concentrated in China is considered to be an ideal way for absorbing wind and light new energy, the construction of bundling extra-high voltage channels of new energy and conventional energy is brought into electric power planning in northwest regions, and trans-regional trans-provincial energy conveying channels are constructed to improve the utilization efficiency of the new energy. The large-scale new energy and the conventional energy are bundled and delivered out through a regional electric power market mode, the interconnection advantages of a regional power grid can be fully exerted, and the inter-provincial fire, wind and light complementary potential is excavated, so that an electric energy trading mechanism is innovated, a bundling trading price mechanism between the new energy and the conventional energy is formulated, and the method has important significance for promoting large-scale optimization configuration of the new energy, relieving the imbalance contradiction of electric power resources in China and promoting new energy consumption.
The new energy and conventional energy combined bundling and delivering system mainly comprises a wind power plant, a photovoltaic power station, a hydropower station in a rich water period, a thermal power unit and a power transmission channel, wherein the wind power plant, the photovoltaic power station, the hydropower station in the rich water period participate in energy delivery, and the thermal power unit plays a role of a peak shaving power supply in the energy delivering system, and the output of the thermal power unit needs to be adjusted according to fluctuation change of the output of the new energy, so that the thermal power unit takes charge of power balance. In the existing research of bundling and outward-conveying systems of new energy and conventional energy, the configuration proportion of the new energy and thermal power is generally 1:2 according to actual engineering experience, and no scientific theoretical calculation basis for bundling proportion exists. In recent years, a lot of students have conducted extensive research around the technical aspect of new energy delivery, mainly including coordinated scheduling of bundling and delivering new energy and thermal power, economic evaluation of delivery capacity of a power transmission line, drop point selection of an extra-high voltage dedicated channel for new energy delivery, equivalent trusted capacity of delivery and the like, but deep discussion is not conducted on factors affecting unit coal consumption of a system, system economy, economic cost of wind abandonment and light abandonment and the like. In reality, each province of a transmitting-end regional power grid directly carries out long-term contract transaction with a receiving-end province or region, however, researches on benefit distribution and transaction pricing methods of new energy and thermal power delivery are few, the transaction power price of the transmitting end and the receiving end is obtained through experience bilateral negotiation at present, the effect of market transaction discovery value is difficult to be fully played, and fairness and reasonability of delivery benefits cannot be guaranteed.
Therefore, a new energy and thermal power bundling transaction pricing method considering resource complementary characteristics is needed, unit combination and economic dispatching are optimized under the condition of considering various energy output characteristics, bundling proportion is measured scientifically, outsourced electricity price level is configured reasonably, and the method has important significance in the aspects of mining wind, light and fire multiple energy complementary mutual-assistance potential, exerting the overall balance function of a regional power grid, scientifically and comprehensively planning resources in provinces and provinces in a region, guaranteeing benefits of power generation main bodies, conducting stable trans-regional trans-provincial transaction, improving large-scale new energy electricity outsourced capacity and consumption level and the like.
Disclosure of Invention
The invention aims to provide a new energy and thermal power bundling transaction pricing method considering resource complementary characteristics, which can scientifically optimize the bundling proportion of new energy and thermal power, improve the condition that scientific theoretical basis is lacked in actual trans-provincial and trans-regional transaction, optimize bundling transaction price, ensure the benefits of a power generation main body, simultaneously minimize the receiving end landing price, improve the trans-provincial and trans-regional consumption capability of new energy, and have stronger universality and engineering practicability.
In order to achieve the purpose, the invention adopts the following technical scheme:
1) the basic strategy of bundling and delivering the new energy and the thermal power is formulated: in the process of bundling and delivering wind, light new energy and thermal power, when the total power generation power of the new energy and the thermal power exceeds the delivery power transmission capacity, because the new energy has the operating characteristic, when the output of the new energy is considered to be increased and delivered, a thermal power generating unit needs to reduce the output to operate, and if the output of the new energy exceeds the total power transmission power, the total power delivery power is controlled within the power transmission power in a power abandoning mode; when the output of the new energy is reduced, the thermal power output needs to be increased to make up the difference between the direct current output power and the reduced power of the new energy, and the maximum value of the thermal power output needs to be reached; based on the trading operation strategy, each market member and main body participate in bundling and outward delivery trading of new energy and thermal power.
2) Setting transaction days D and daily transaction time T, selecting typical characteristic seasons for operation of the power system, and inputting information of the power system, including a regional total load prediction curve
Figure BDA0002279854380000031
Prediction curve of wind power and photovoltaic output
Figure BDA0002279854380000032
And
Figure BDA0002279854380000033
outgoing call tie plan curve
Figure BDA0002279854380000034
3) According to the bundling outgoing transaction operation strategy in the step 1) and the information of the input power system in the step 2), a monthly bundling transaction optimization model of wind, light new energy and thermal power bundling in province is established and solved, the mixed integer linear programming model is solved by adopting an optimization solver such as CPLEX (complex programmable logic unit) and the like, the total new energy power generation and the total thermal power generation of a regional power grid are obtained, and then the total photovoltaic power generation is utilized
Figure BDA0002279854380000035
Wind power total generating capacity
Figure BDA0002279854380000036
Thermal power generation amount
Figure BDA0002279854380000037
Obtaining a new energy and thermal power bundling ratio, wherein the formula is as follows:
Figure BDA0002279854380000041
in the formula, NPV-the number of photovoltaic power stations;
NW-the number of wind turbines;
NTH-the number of thermal power generating units;
Figure BDA0002279854380000042
the actual output of the wind turbine generator i at the time t of d days;
Figure BDA0002279854380000043
the actual output of the photovoltaic power station i at the moment t of d days;
Figure BDA0002279854380000044
actual output of the thermal power generating unit i at d days and t moments;
the monthly bundling transaction optimization model for provincial wind, light new energy and thermal power bundling takes the minimum power generation cost of a sending end region as an objective function, and comprises thermal power generation cost and wind and light abandoning cost, and the constraints of the model comprise power balance constraint, thermal power climbing constraint, unit continuous start-stop time constraint, minimum technical output constraint, new energy actual output constraint, wind and light abandoning constraint and wind-solar power bundling proportion constraint;
4) according to the new energy and thermal power bundling ratio η obtained by optimization in the step 3) and the new energy online trading price rhoREPrice rho for trading on thermal power networkTHAnd obtaining the comprehensive bundling transaction price of the sending terminal area according to the following formula:
ρf＝ρRE*η+ρTH*(1-η)
5) the comprehensive bundling transaction price rho of the sending terminal area obtained according to the step 4)fAnd the transmission price rho of the power resource across-region and-provincial DC channelωAnd obtaining the floor price of the receiving area of the direct current channel bundling delivery according to the following formula:
ρt＝ρf+ρω
in the step 1), market members for bundling transaction of new energy and thermal power comprise a market main body, a power transaction mechanism and a power dispatching mechanism. The market main body comprises wind power and photovoltaic new energy power generation enterprises, thermal power generation enterprises and power grid enterprises.
In the step 1), the new energy and thermal power bundling transaction is an inter-provincial bundling transaction, namely when an interconnected regional power grid has a clean energy outward delivery requirement, an inter-provincial tie line power transmission channel in the region of a delivery end, related provincial new energy power generation characteristics and related provincial thermal power generation enterprise power generation plans are comprehensively considered, the new energy and the thermal power are bundled according to a certain proportion to carry out cross-regional transaction according to a centralized bidding price or bilateral negotiated power transaction price, and the outward delivery transaction stability and the outward delivery transaction price rationality are considered.
In the step 2), the bundling transaction time scale is one month, the typical characteristic season of the operation of the power system is one month in spring, summer, autumn and winter, the transaction days D are set to be 31 days, and the daily transaction time T is set to be 24 hours.
The monthly bundling transaction optimization model of the provincial wind, light new energy and thermal power bundling in the step 2) is established by taking the minimum power generation cost of a sending end region as an objective function and comprises thermal power generation cost and wind and light abandoning cost, and the constraints of the model comprise power balance constraint, thermal power climbing constraint, thermal power unit continuous start-up and shut-down time constraint, minimum technical output constraint, new energy actual output constraint, wind and light abandoning constraint and wind and light fire bundling proportion constraint;
2.1) the objective function is
Figure BDA0002279854380000061
Wherein z isi,t,dThe starting state of the thermal power generating unit i at d days and t moments is shown, the value 1 is starting, and the value 0 is stopping; siThe starting and stopping cost of the thermal power generating unit is calculated; ciThe power generation cost of the thermal power generating unit i is calculated;
Figure BDA0002279854380000062
the air volume of the wind turbine generator at the time t of d days is determined;
Figure BDA0002279854380000063
the light abandoning amount of the photovoltaic power station at d days and t moments is obtained; c. CPVCost for discarding light; c. CWCost for wind abandon;
2.2) the form of the power balance constraint
Figure BDA0002279854380000064
Wherein the content of the first and second substances,
Figure BDA0002279854380000065
a predicted load prediction curve at the t moment of d days;
Figure BDA0002279854380000066
planned outgoing power at time t for d days;
2.3) the form of thermal power climbing constraint is
Figure BDA0002279854380000067
Figure BDA0002279854380000068
Wherein the content of the first and second substances,
Figure BDA0002279854380000069
and
Figure BDA00022798543800000610
the ramp rates of the thermal power generating unit i are respectively the up and down ramp rates; thetaTHThe method comprises the steps of (1) integrating northwest thermal power generating units;P i THthe active minimum output of the thermal power generating unit is shown,
Figure BDA00022798543800000611
representing the active maximum output of the thermal power generating unit; z is a radical ofi,t,dThe starting state of the thermal power generating unit i at d days and t moments is shown, the value 1 is starting, and the value 0 is stopping;
2.4) the constraint form of the continuous on-off time of the thermal power generating unit is
Figure BDA0002279854380000071
Figure BDA0002279854380000072
Wherein, TUAnd TDThe minimum continuous starting time and the minimum continuous stopping time of the unit are obtained;
Figure BDA0002279854380000073
and
Figure BDA0002279854380000074
for the time when the unit i has been started up and for the time of continuous shutdown on day d, t, state variables can be used
zi,t,d(t＝2...T,d＝1...D,i∈ΘTH) Represents:
Figure BDA0002279854380000075
2.5) minimum technical output constraint in the form of
Figure BDA0002279854380000076
Wherein k isDThe minimum technical output coefficient is the thermal power generating unit;
2.6) the actual output constraint form of the new energy is
Figure BDA0002279854380000077
Figure BDA0002279854380000078
Wherein Ω is a wind turbine set in a sending end region; psi is a photovoltaic power station set of a sending terminal area;
Figure BDA0002279854380000079
the predicted output of the wind turbine generator j at the d day t moment is obtained;
Figure BDA00022798543800000710
the predicted output of the photovoltaic power station k at the d day t moment is obtained;
Figure BDA00022798543800000711
actual output of the wind turbine generator j at the time t on the d day;
Figure BDA00022798543800000712
actual output of the photovoltaic power station k at the d day t moment;
2.7) form of wind and light abandoning restriction
Figure BDA00022798543800000713
Figure BDA0002279854380000081
Wherein the content of the first and second substances,
Figure BDA0002279854380000082
the air volume of the wind turbine generator at the time t of d days is determined;
Figure BDA0002279854380000083
the light abandoning amount of the photovoltaic power station at d days and t moments is obtained; n is a radical ofPVThe number of the photovoltaic power stations; n is a radical ofWThe number of the wind turbine generators is;
2.8) wind-solar-fire bundling proportional constraint in the form of
Figure BDA0002279854380000084
Figure BDA0002279854380000085
Wherein the content of the first and second substances,
Figure BDA0002279854380000086
delivering the total electric quantity for photovoltaic monthly;
Figure BDA0002279854380000087
α and β respectively represent the lower limit of the bundling ratio of photovoltaic power and thermal power and the lower limit of the bundling ratio of wind power and thermal power;
in the step 2.5), kDThe minimum technical output coefficient of the thermal power generating unit is set to be 0.3-0.5;
in the step 2.8), α and β are related to the installed capacity ratio of the new energy and the thermal power generating unit, and the bundling ratio is not higher than the installed capacity ratio of the new energy and the thermal power generating unit in principle and is not lower than the proportion of the abandoned power rate of the monthly new energy consumption target task;
in the step 4), new energy online trading price rhoREPrice rho for trading on thermal power networkTHObtained by market agents through centralized bidding or autonomous negotiation; the centralized bidding trading price is determined by uniformly clearing the price or matching the price with the height; the self-negotiation transaction price is executed according to the contract agreement of the two parties.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through establishing a monthly transaction optimization model of provincial wind, light new energy and thermal power bundling, the bundling proportion of the new energy and the thermal power under the constraints of thermal power peak regulation, wind and light abandonment and the like is scientifically optimized and calculated, the power generation characteristics of the new energy, supply and demand matching, the power generation benefits of power generators in a sending end area and the price acceptable capability of a receiving end area are comprehensively considered, and the comprehensive price and the floor price of bundling transaction are measured and calculated, so that the electric power market value can be found, more scientific price guidance is provided for market transaction members and market main bodies, and the method is more comprehensive and more scientific compared with the previous method.
In addition, the invention selects the operation typical mode of the power system according to the characteristics of different seasons, and calculates the bundling proportion and the transaction price under the characteristics of different new energy in different seasons, so that the invention not only can consider the characteristics of the resource change of the new energy in time caused by the change of seasons, compared with the existing technology of bundling and delivering the wind power and the thermal power, the invention also considers the resource complementary and mutual economic characteristics of various types of energy such as wind, light, thermal power and the like in the sending end region on the geographic space, obtains the bundling proportion and the transaction price under the characteristics of different provinces in different regions in different typical seasons, and has stronger universality and engineering practicability.
Meanwhile, the minimum technical output coefficient used in the invention is given by a planner, and the invention can provide bundling proportion and transaction price under different minimum technical output coefficients, and provides important theoretical reference and transaction price scheme for transaction decision maker.
Drawings
FIG. 1 is a flow chart of the method steps of the present invention.
Detailed Description
The following describes the embodiments and operation principles of the present invention in further detail with reference to the accompanying drawings.
Referring to fig. 1, a new energy and thermal power bundling transaction pricing method considering resource complementary characteristics comprises three parts of making bundling delivery transaction strategies, optimizing new energy and thermal power bundling proportion and measuring bundling transaction prices, and specifically comprises the following steps:
(one) a bundling outgoing transaction strategy is established:
1. defining market members and market subjects: market members for bundling and trading of new energy and thermal power comprise a market main body, a power trading mechanism and a power scheduling mechanism, wherein the market main body comprises a wind power and photovoltaic new energy power generation enterprise, a thermal power generation enterprise and a power grid enterprise;
2. defining a bundling transaction type: the new energy and thermal power bundling transaction is an inter-provincial bundling transaction, namely when an interconnected regional power grid has a clean energy outward-sending demand, an inter-provincial tie line power transmission channel in a sending end region, the power generation characteristics of related provincial new energy and the power generation plan of related provincial thermal power generation enterprises are comprehensively considered, the new energy and the thermal power are bundled according to a certain proportion to carry out cross-regional transaction according to a centralized bidding price or a bilateral negotiated power transaction price, and the outward-sending transaction stability and the outward-sending transaction price rationality are considered;
3. the basic strategy of bundling and delivering the new energy and the thermal power is formulated: in the process of bundling wind and light new energy and thermal power and delivering, when the total power generation power of the new energy and the thermal power exceeds the delivery power transmission capacity, because the new energy has the operating characteristic, when the output of the new energy is considered to be increased and delivered, a thermal power generating unit needs to reduce the output to operate, and if the power generation output of the new energy exceeds the total power transmission power of the delivery, the total power delivery is controlled within the power transmission power in a power abandoning mode; when the output of the new energy is reduced, the thermal power output needs to be increased to make up the difference between the direct current output power and the reduced power of the new energy, and the maximum value of the thermal power output needs to be reached; based on the trading operation strategy, each market member and main body participate in bundling and outward delivery trading of new energy and thermal power.
(II) optimizing the bundling ratio of new energy and thermal power:
4. setting transaction days D and daily transaction time T, selecting typical characteristic seasons for operation of the power system, and inputting information of the power system, including a regional total load prediction curve
Figure BDA0002279854380000111
Prediction curve of wind power and photovoltaic output
Figure BDA0002279854380000112
And
Figure BDA0002279854380000113
outgoing call tie plan curve
Figure BDA0002279854380000114
5. According to the bundling outgoing transaction operation strategy in the step 3 and the information of the input power system in the step 4, a monthly bundling transaction optimization model for bundling wind, light new energy and thermal power in province is established, the monthly bundling transaction optimization model takes the minimum power generation cost of a sending end region as an objective function and comprises thermal power generation cost and wind and light abandoning cost, and the constraints of the model comprise power balance constraint, thermal power climbing constraint, unit continuous start-up and shut-down time constraint, minimum technical output constraint, new energy actual output constraint, wind and light abandoning constraint and wind and light fire bundling proportion constraint;
5.1) the objective function is given by
Figure BDA0002279854380000115
Wherein z isi,t,dThe starting state of the thermal power generating unit i at d days and t moments is shown, the value 1 is starting, and the value 0 is stopping; siThe starting and stopping cost of the thermal power generating unit is calculated; ciThe power generation cost of the thermal power generating unit i is calculated;
Figure BDA0002279854380000116
the air volume of the wind turbine generator at the time t of d days is determined;
Figure BDA0002279854380000117
the light abandoning amount of the photovoltaic power station at d days and t moments is obtained; c. CPVCost for discarding light; c. CWCost for wind abandon;
Figure BDA0002279854380000118
the output of the thermal power generating unit i at d days and t moments; n is a radical ofTHThe number of the thermal power generating units;
5.2) the form of the power balance constraint
Figure BDA0002279854380000119
Wherein the content of the first and second substances,
Figure BDA00022798543800001110
a predicted load prediction curve at the t moment of d days;
Figure BDA00022798543800001111
planned outgoing power at time t for d days; n is a radical ofPVThe number of the photovoltaic power stations; n is a radical ofWThe number of the wind turbine generators is;
Figure BDA00022798543800001112
actual output of the wind turbine generator j at the time t on the d day;
Figure BDA00022798543800001113
actual output of the photovoltaic power station k at the d day t moment;
in the power balance constraint of the sending terminal area, the complementary mutual assistance in the geographical distribution space among different energy types among all provinces in the sending terminal area is considered, and the power requirements of the area and the outgoing are met simultaneously so as to achieve the matching of supply and demand;
5.3) the form of thermal power climbing constraint is
Figure BDA0002279854380000121
Figure BDA0002279854380000122
Wherein the content of the first and second substances,
Figure BDA0002279854380000123
and
Figure BDA0002279854380000124
the ramp rates of the thermal power generating unit i are respectively the up and down ramp rates; thetaTHThe method comprises the steps of (1) integrating northwest thermal power generating units;P i THthe active minimum output of the thermal power generating unit is shown,
Figure BDA0002279854380000125
representing the active maximum output of the thermal power generating unit; z is a radical ofi,t,dThe starting state of the thermal power generating unit i at d days and t moments is shown, the value 1 is starting, and the value 0 is stopping;
5.4) the constraint form of the continuous on-off time of the thermal power generating unit is
Figure BDA0002279854380000126
Figure BDA0002279854380000127
Wherein, TUAnd TDThe minimum continuous starting time and the minimum continuous stopping time of the unit are obtained;
Figure BDA0002279854380000128
and
Figure BDA0002279854380000129
for the time when the unit i has been started up and for the time of continuous shutdown on day d, t, state variables can be used
zi,t,d(t＝2...T,d＝1...D,i∈ΘTH) Represents:
Figure BDA00022798543800001210
Figure BDA00022798543800001211
5.5) minimum technical output constraint in the form of
Figure BDA0002279854380000131
Wherein k isDSetting the minimum technical output coefficient of 0.3-0.5 for the minimum technical output coefficient of the thermal power generating unit and the thermal power peak regulation coefficient;
5.6) the actual output constraint form of the new energy is
Figure BDA0002279854380000132
Figure BDA0002279854380000133
Wherein Ω is a wind turbine set in a sending end region; psi is a photovoltaic power station set of a sending terminal area;
Figure BDA0002279854380000134
the predicted output of the wind turbine generator j at the d day t moment is obtained;
Figure BDA0002279854380000135
the predicted output of the photovoltaic power station k at the d day t moment is obtained;
Figure BDA0002279854380000136
actual output of the wind turbine generator j at the time t on the d day;
Figure BDA0002279854380000137
actual output of the photovoltaic power station k at the d day t moment;
5.7) form of wind and light abandoning restriction
Figure BDA0002279854380000138
Figure BDA0002279854380000139
Wherein the content of the first and second substances,
Figure BDA00022798543800001310
the air volume of the wind turbine generator at the time t of d days is determined;
Figure BDA00022798543800001311
the light abandoning amount of the photovoltaic power station at d days and t moments is obtained;
5.8) wind-solar-fire bundling proportional constraint in the form of
Figure BDA00022798543800001312
Figure BDA00022798543800001313
Wherein, among others,
Figure BDA00022798543800001314
delivering the total electric quantity for photovoltaic monthly;
Figure BDA00022798543800001315
α and β are respectively the lower limit of the photovoltaic and thermal power bundling ratio and the lower limit of the wind power and thermal power bundling ratio, α and β are respectively related to the new energy and thermal power bundling ratio and the installed capacity ratio of the new energy and thermal power generating unit, and the bundling ratio is not higher than the installed capacity ratio of the new energy and thermal power generating unit in principle and is not lower than the ratio of the abandoned power rate of the new energy consumption target task according to the monthly;
6. according to the mixed integer linear programming model established in the step 5, a lunar transaction optimization model of intertsaved wind, light new energy and thermal power bundling is solved by adopting a CPLEX (complex programmable logic element) and other optimization solvers, and the total new energy power generation and the total thermal power generation of the regional power grid are obtainedThen utilizing the total photovoltaic power generation
Figure BDA0002279854380000141
Wind power total generating capacity
Figure BDA0002279854380000142
Thermal power generation amount
Figure BDA0002279854380000143
Obtaining a new energy and thermal power bundling ratio, wherein the formula is as follows:
Figure BDA0002279854380000144
the bundling proportion of the power grid of the sending end region is modeled, and the bundling proportion of the new energy and the thermal power of each province of the sending end in the region is obtained by modeling, calculating and solving in the same method.
(III) measuring and calculating the bundling transaction price:
7. according to the new energy and thermal power bundling ratio η obtained by optimization in the step 6 and the new energy online trading price rhoREPrice rho for trading on thermal power networkTHAnd obtaining the comprehensive bundling transaction price of the sending terminal area according to the following formula:
ρf＝ρRE*η+ρTH*(1-η)
new energy online trading price rhoREPrice rho for trading on thermal power networkTHObtained by market agents through centralized bidding or through autonomous negotiations. The centralized bidding trading price is determined by uniformly clearing the price or matching the price with the height; the bilateral negotiation transaction price is executed according to the contract agreement of the two parties. 8. The bundling transaction comprehensive price rho of the sending terminal area obtained according to the step 7fAnd the transmission price rho of the power resource across-region and-provincial DC channelωAnd obtaining the landing price of the direct current channel delivery receiving end area according to the following formula:
ρt＝ρf+ρω。
taking a certain actual sending end regional power grid as an example, the sending end power system comprises A, B, C, D, E provinces of 5 provinces, the geographic distribution of wind power, photovoltaic and thermal power energy sources in the whole region is different, the sending end region with the minimum technical output of 50% and different seasons (1, 4, 7 and 10 months) and the monthly new energy and thermal power bundling ratio of each province in the region are considered as shown in table 1, a certain trans-regional trans-provincial trans-DC channel A is considered to be sent to other provincial regions, and the landing electricity price of each province in the sending end region sent to a receiving end region through the DC channel is shown in table 2. The result shows that the method can optimize the bundling outgoing proportion and the bundling outgoing transaction price, and the bundling outgoing transaction price is lower than the actual floor price, thereby attracting the receiving end area to buy electricity to consume new energy.
TABLE 1 wind, light and fire bundling optimal ratio measurement results (wind, light sum and fire bundling ratio)
Figure BDA0002279854380000151
Figure BDA0002279854380000161
TABLE 2 land price, Yuan/MWh
Figure BDA0002279854380000162

Claims (8)

1. A new energy and thermal power bundling transaction pricing method considering resource complementary characteristics is characterized by comprising the following steps:
1) the basic strategy of bundling and delivering the new energy and the thermal power is formulated: in the process of bundling wind and light new energy and thermal power and delivering, when the total power generation power of the new energy and the thermal power exceeds the delivery power transmission capacity, because the new energy has the operating characteristic, when the output of the new energy is considered to be increased and delivered, a thermal power generating unit needs to reduce the output to operate, and if the power generation output of the new energy exceeds the total power transmission power of the delivery, the total power delivery is controlled within the power transmission power in a power abandoning mode; when the output of the new energy is reduced, the thermal power output needs to be increased to make up the difference between the direct current output power and the reduced power of the new energy, and the maximum value of the thermal power output needs to be reached; based on the bundling and outward-conveying transaction operation strategy, all market members and main bodies participate in bundling and outward-conveying transactions of new energy and thermal power;
2) setting transaction days D and daily transaction time T, selecting typical characteristic seasons for operation of the power system, and inputting information of the power system, including a regional total load prediction curve
Figure FDA0002279854370000011
Prediction curve of wind power and photovoltaic output
Figure FDA0002279854370000012
And
Figure FDA0002279854370000013
outgoing call tie plan curve
Figure FDA0002279854370000014
3) According to the bundling outgoing transaction operation strategy in the step 1) and the information of the input power system in the step 2), a monthly bundling transaction optimization model of wind, light new energy and thermal power bundling in province is established and solved to obtain the total new energy generating capacity and the total thermal power generating capacity of the regional power grid, and then the total photovoltaic generating capacity is utilized
Figure FDA0002279854370000015
Wind power total generating capacity
Figure FDA0002279854370000016
Thermal power generation amount
Figure FDA0002279854370000017
Obtaining a new energy and thermal power bundling ratio, wherein the formula is as follows:
Figure FDA0002279854370000021
in the formula, NPV-the number of photovoltaic power stations;
NW-the number of wind turbines;
NTH-the number of thermal power generating units;
Figure FDA0002279854370000022
the actual output of the wind turbine generator i at the time t of d days;
Figure FDA0002279854370000023
the actual output of the photovoltaic power station i at the moment t of d days;
Figure FDA0002279854370000024
actual output of the thermal power generating unit i at d days and t moments;
the monthly bundling transaction optimization model for provincial wind, light new energy and thermal power bundling takes the minimum power generation cost of a sending end region as an objective function, and comprises thermal power generation cost and wind and light abandoning cost, and the constraints of the model comprise power balance constraint, thermal power climbing constraint, unit continuous start-stop time constraint, minimum technical output constraint, new energy actual output constraint, wind and light abandoning constraint and wind-solar power bundling proportion constraint;
4) according to the new energy and thermal power bundling ratio η obtained by optimization in the step 3) and the new energy online trading price rhoREPrice rho for trading on thermal power networkTHAnd obtaining the comprehensive bundling transaction price of the sending terminal area according to the following formula:
ρf＝ρRE*η+ρTH*(1-η)
5) the comprehensive bundling transaction price rho of the sending terminal area obtained according to the step 4)fAnd the transmission price rho of the power resource across-region and-provincial DC channelωAnd obtaining the floor price of the receiving area of the direct current channel bundling delivery according to the following formula:
ρt＝ρf+ρω。
2. the pricing method for the new energy and thermal power bundling transaction considering the resource complementary characteristics according to claim 1, characterized in that: in the step 1), market members for bundling transaction of new energy and thermal power comprise a market main body, a power transaction mechanism and a power dispatching mechanism. The market main body comprises wind power and photovoltaic new energy power generation enterprises, thermal power generation enterprises and power grid enterprises.
3. The pricing method for the new energy and thermal power bundling transaction considering the resource complementary characteristics according to claim 1, characterized in that: in the step 1), the new energy and thermal power bundling transaction is an inter-provincial bundling transaction, namely when an interconnected regional power grid has a clean energy outward delivery requirement, an inter-provincial tie line power transmission channel in the region of a delivery end, related provincial new energy power generation characteristics and related provincial thermal power generation enterprise power generation plans are comprehensively considered, the new energy and the thermal power are bundled according to a certain proportion to carry out cross-regional transaction according to a centralized bidding price or bilateral negotiated power transaction price, and the outward delivery transaction stability and the outward delivery transaction price rationality are considered.
4. The pricing method for the new energy and thermal power bundling transaction considering the resource complementary characteristics according to claim 1, characterized in that: in the step 2), the bundling transaction time scale is one month, the typical characteristic season of the operation of the power system is one month in spring, summer, autumn and winter, the transaction days D are set to be 31 days, and the daily transaction time T is set to be 24 hours.
5. The pricing method for the new energy and thermal power bundling transaction considering the resource complementary characteristics according to claim 1, characterized in that: the monthly bundling transaction optimization model of the provincial interwind, light new energy and thermal power bundling in the step 3) is established by taking the minimum power generation cost of a sending end region as an objective function and comprises thermal power generation cost and wind and light abandoning cost, and the constraints of the model comprise power balance constraint, thermal power climbing constraint, thermal power unit continuous start-up and shut-down time constraint, minimum technical output constraint, new energy actual output constraint, wind and light abandoning constraint and wind and light fire bundling proportion constraint;
1) an objective function of
Figure FDA0002279854370000041
Wherein z isi,t,dThe starting state of the thermal power generating unit i at d days and t moments is shown, the value 1 is starting, and the value 0 is stopping; siThe starting and stopping cost of the thermal power generating unit is calculated; ciThe power generation cost of the thermal power generating unit i is calculated;
Figure FDA0002279854370000042
the air volume of the wind turbine generator at the time t of d days is determined;
Figure FDA0002279854370000043
the light abandoning amount of the photovoltaic power station at d days and t moments is obtained; c. CPVCost for discarding light; c. CWCost for wind abandon;
2) the power balance constraint is in the form of
Figure FDA0002279854370000044
Wherein the content of the first and second substances,
Figure FDA0002279854370000045
a predicted load prediction curve at the t moment of d days;
Figure FDA0002279854370000046
planned outgoing power at time t for d days;
3) the form of thermal power climbing restraint is
Figure FDA0002279854370000047
Figure FDA0002279854370000048
Wherein the content of the first and second substances,
Figure FDA0002279854370000051
and
Figure FDA0002279854370000052
the ramp rates of the thermal power generating unit i are respectively the up and down ramp rates; thetaTHThe method comprises the steps of (1) integrating northwest thermal power generating units;P i THthe active minimum output of the thermal power generating unit is shown,
Figure FDA0002279854370000053
representing the active maximum output of the thermal power generating unit; z is a radical ofi,t,dThe starting state of the thermal power generating unit i at d days and t moments is shown, the value 1 is starting, and the value 0 is stopping;
4) the constraint form of the continuous on-off time of the thermal power generating unit is
Figure FDA0002279854370000054
Figure FDA0002279854370000055
Wherein, TUAnd TDThe minimum continuous starting time and the minimum continuous stopping time of the unit are obtained;
Figure FDA0002279854370000056
and
Figure FDA0002279854370000057
the time that the unit i is started up and the time of continuous shutdown at the time t on the d day;
5) the minimum technical output constraint is in the form of
Figure FDA0002279854370000058
Wherein k isDThe minimum technical output coefficient is the thermal power generating unit;
6) the actual output constraint form of the new energy is
Figure FDA0002279854370000059
Figure FDA00022798543700000510
Wherein Ω is a wind turbine set in a sending end region; psi is a photovoltaic power station set of a sending terminal area;
Figure FDA00022798543700000511
the predicted output of the wind turbine generator j at the d day t moment is obtained;
Figure FDA00022798543700000512
the predicted output of the photovoltaic power station k at the d day t moment is obtained;
Figure FDA00022798543700000513
actual output of the wind turbine generator j at the time t on the d day;
Figure FDA00022798543700000514
actual output of the photovoltaic power station k at the d day t moment;
7) the form of wind and light abandoning restriction is
Figure FDA0002279854370000061
Figure FDA0002279854370000062
Wherein the content of the first and second substances,
Figure FDA0002279854370000063
the air volume of the wind turbine generator is abandoned at the time t of d days；
Figure FDA0002279854370000064
The light abandoning amount of the photovoltaic power station at d days and t moments is obtained; n is a radical ofPVThe number of the photovoltaic power stations; n is a radical ofWThe number of the wind turbine generators is;
8) the form of the wind-solar-fire bundling proportion constraint is
Figure FDA0002279854370000065
Figure FDA0002279854370000066
Wherein the content of the first and second substances,
Figure FDA0002279854370000067
delivering the total electric quantity for photovoltaic monthly;
Figure FDA0002279854370000068
α and β respectively represent the lower limit of the bundling ratio of photovoltaic power and thermal power and the lower limit of the bundling ratio of wind power and thermal power.
6. The method for pricing new energy and thermal power bundling transaction considering resource complementation characteristics as claimed in claim 5, wherein: in the step 5), kDThe minimum technical output coefficient of the thermal power generating unit is set to be 0.3-0.5.
7. The method for pricing the new energy and thermal power bundling transaction considering the resource complementation characteristics as claimed in claim 5, wherein in the step 8), α, β relate to the ratio of the new energy to the installed capacity of the thermal power generating unit, and the bundling ratio is not higher than the ratio of the new energy to the installed capacity of the thermal power generating unit in principle and not lower than the ratio of the electric power abandonment rate of the new energy consumption target task monthly.
8. According toThe method for pricing the new energy and thermal power bundling transaction considering the resource complementary characteristics, as claimed in claim 1, wherein: in the step 4), new energy online trading price rhoREPrice rho for trading on thermal power networkTHObtained by market agents through centralized bidding or autonomous negotiation; the centralized bidding trading price is determined by uniformly clearing the price or matching the price with the height; the self-negotiation transaction price is executed according to the contract agreement of the two parties.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112085276A (en) * 2020-09-09 2020-12-15 天津大学 High-permeability wind-solar power generation-containing power supply system capacity matching optimization method
CN112132379A (en) * 2020-08-03 2020-12-25 国电南瑞科技股份有限公司 Economic-considered new energy cross-region consumption evaluation method and storage medium
CN112419063A (en) * 2020-11-27 2021-02-26 国家电网公司西北分部 Flexible matching bundling and outward-conveying transaction system for clean energy and conventional energy
CN113131528A (en) * 2021-04-23 2021-07-16 广东电网有限责任公司 Method, device, equipment and storage medium for determining optimal capacity of wind fire bundling
CN117094753A (en) * 2023-10-19 2023-11-21 国网吉林省电力有限公司经济技术研究院 Transaction method and device for new energy and thermal power bundling cooperation participation market

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112132379A (en) * 2020-08-03 2020-12-25 国电南瑞科技股份有限公司 Economic-considered new energy cross-region consumption evaluation method and storage medium
CN112132379B (en) * 2020-08-03 2022-05-31 国电南瑞科技股份有限公司 Economic-considered new energy cross-region consumption evaluation method and storage medium
CN112085276A (en) * 2020-09-09 2020-12-15 天津大学 High-permeability wind-solar power generation-containing power supply system capacity matching optimization method
CN112419063A (en) * 2020-11-27 2021-02-26 国家电网公司西北分部 Flexible matching bundling and outward-conveying transaction system for clean energy and conventional energy
CN113131528A (en) * 2021-04-23 2021-07-16 广东电网有限责任公司 Method, device, equipment and storage medium for determining optimal capacity of wind fire bundling
CN117094753A (en) * 2023-10-19 2023-11-21 国网吉林省电力有限公司经济技术研究院 Transaction method and device for new energy and thermal power bundling cooperation participation market

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