CN111799842B - Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit - Google Patents

Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit Download PDF

Info

Publication number
CN111799842B
CN111799842B CN202010758007.5A CN202010758007A CN111799842B CN 111799842 B CN111799842 B CN 111799842B CN 202010758007 A CN202010758007 A CN 202010758007A CN 111799842 B CN111799842 B CN 111799842B
Authority
CN
China
Prior art keywords
power
period
year
thermal power
transmission line
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010758007.5A
Other languages
Chinese (zh)
Other versions
CN111799842A (en
Inventor
孙东磊
王轶群
鉴庆之
陈博
白娅宁
李文升
赵龙
李瑜
马彦飞
杨波
王延硕
张博颐
朱毅
付一木
魏佳
孙毅
程佩芬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Shandong Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Economic and Technological Research Institute of State Grid Shandong Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202010758007.5A priority Critical patent/CN111799842B/en
Publication of CN111799842A publication Critical patent/CN111799842A/en
Application granted granted Critical
Publication of CN111799842B publication Critical patent/CN111799842B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004Generation forecast, e.g. methods or systems for forecasting future energy generation
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Power Engineering (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a multi-stage power transmission network planning method and a system considering the flexibility of a thermal power unit.

Description

Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit
Technical Field
The invention relates to the technical field of power grid planning, in particular to a multi-stage power transmission grid planning method and system considering flexibility of a thermal power unit.
Background
The great development of new energy is a necessary choice for solving the current problems of shortage of fossil energy and environmental pollution. Among new energy power generation technologies, the wind power generation technology is the most mature and has the most large-scale development value, and the wind power in the world presents a large-scale development situation. The wind power generation has obvious anti-peak shaving characteristic under the influence of natural factors, namely, the wind power output is low in the daytime peak load period and high in the nighttime valley load period. Large scale wind integration also presents a significant challenge to power system planning operations.
The output power of the thermal power generating unit can be regulated in a certain range, and plays an important role in balancing large-scale wind power change and promoting wind power consumption. The flexibility of the thermal power generating unit is particularly realized in that the system power unbalance caused by load variation or wind power variation can be tracked at a certain rate, and when the wind power output power is increased, the self output power is reduced to be positioned for clean energy to generate electricity so as to promote wind power absorption. In China, the problems of abundant total quantity and insufficient flexibility of the thermal power generating unit generally exist, and the wind power grid connection consumption is severely limited. In order to solve the problem, the flexibility modification of the thermal power unit needs to be implemented, but the flexibility modification is carried out on the thermal power units, and how to formulate scientific and reasonable flexibility modification time sequence of the thermal power unit is worth in-depth research.
The goal of grid planning is to meet the power delivery requirements by making decisions on the transmission line construction given the load prediction and power supply layout. The traditional power grid planning takes the construction of a target grid frame as a research object to carry out optimization decision, and the time sequence characteristics of the construction of the power grid frame are difficult to reflect. The power grid planning is a long-term and rolling decision process, and the scheme transition among a plurality of planning stages and the constraint of the decision variable value in each stage are required to be considered, and the time value of funds in the planning process must be considered to carry out multi-period coordinated dynamic planning. The simulation of the operation condition of each planning stage in the current multi-stage power grid planning decision generally selects an operation mode corresponding to a peak load, and the change scene of the load and the renewable energy power in each planning stage is less involved.
Disclosure of Invention
The invention aims to provide a multi-stage power transmission network planning method and system considering the flexibility of a thermal power generating unit, and aims to solve the problems of lack of load and wind power consideration in multi-stage power transmission network planning decisions in the prior art, realize a multi-stage combined decision scheme and improve the economy of planning operation investment of a power system.
To achieve the above technical object, the present invention provides a multi-stage power transmission network planning method considering flexibility of a thermal power generating unit, the method comprising the following operations:
constructing a multi-stage power transmission network planning optimization model considering the flexibility transformation of the thermal power generating unit, wherein the optimization model aims at minimizing the sum of the investment cost and the present value of the operation cost in the whole planning period and comprises a plurality of constraint conditions;
and converting the mixed integer nonlinear constraint condition in the optimization model into a mixed integer linear constraint condition, and solving the converted mixed integer linear programming model by a mixed integer linear programming algorithm to obtain a final thermal power unit flexibility transformation and power transmission network multi-stage joint programming scheme.
Preferably, the method further comprises the steps of inputting traditional thermal power unit parameters and current power grid power transmission element parameters before a model is built, inputting maximum load, maximum wind power, 24-hour load power and wind power change per day of each year in a planning period, setting a thermal power unit range capable of participating in flexible transformation according to the running condition of the thermal power unit, setting transformation cost, setting candidate new power transmission line range according to the condition of a power transmission line corridor, setting construction cost, setting a wind power waste cost coefficient and allowable waste power rate of a system.
Preferably, the objective function expression of the optimization model is:
wherein nw is the total number of wind farms; ny is the total years of the planning cycle; ng is the number of the conventional thermal power generating units; nl is the number of transmission line corridors planned to be constructed; alpha w Representing the wind abandoning punishment cost;the power discarding method comprises the steps of (1) setting the power discarding power of a wind power plant w in a typical day h period of an m-month of a y-th year in a planning period; beta g The flexibility transformation cost of the thermal power unit g is represented; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The thermal power generating unit g of the y year in the planning period is not subjected to flexibility transformation; c (C) l The investment cost is built for a single-circuit transmission line on the transmission corridor I; />Representing the number of newly-increased transmission lines in the y-th year on the transmission line corridor l; ρ is the rate of occurrence.
Preferably, the constraint condition includes:
1) Upper and lower limit constraint of active power of conventional thermal power generating unit:
wherein,and->The upper limit and the lower limit of the active power of the thermal power unit g are respectively set; />The method comprises the steps of planning active power of a thermal power unit g in a typical day h period of an mth year in a period; />The method comprises the steps of representing the increased depth peak shaving power of the thermal power unit by the y-th year through flexible transformation; ΔP g The method is characterized by representing the depth peak shaving power which can be increased by modifying the flexibility of the thermal power unit g; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The method is characterized in that the thermal power generating unit g of the y-th year does not carry out flexibility transformation in a planning period; z is Z g Is a binary variable, which indicates whether the thermal power unit g is flexibly transformed in the planning period, Z g =1 means that the thermal power generating unit g is flexibly transformed in the planning period, Z g =0 shows that thermal power unit g does not perform flexibility modification in the planning period;
2) Conventional thermal power generating unit climbing constraint:
wherein R is g When the thermal power generating unit g is not modifiedA climbing rate; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g in the typical day h-1 period of the y-th year, the m-th month in the planning period;
3) Node power balancing constraints:
wherein P is l y,m,h The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period;active power predictive value of wind power plant w in typical day h period of the y-th year, m-month in the planning period; />Active power predictive value of load d in typical day h period of the y-th year, m-month in the planning period; s is S i And E is i The total number of the power transmission lines taking the node i as the head and the terminal node is respectively; g i 、W i And D i Respectively representing the total number of thermal power units, wind power plants and loads on the node i; nb is the number of grid nodes;
4) Discarding wind power constraint:
wherein, gamma y Representing a set y-th allowable wind power rejection rate threshold;
5) Transmission capacity constraint of transmission line:
wherein B is l Susceptance of a single-circuit transmission line on a transmission line corridor l;the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period; />The number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />Power transmission line corridor for typical day-to-h period of the y-th year, the m-th month and the like in planning period
l is the transmission active power;the transmission capacity of a single-circuit transmission line on a transmission line corridor I is used as the transmission capacity of the single-circuit transmission line;
6) Constraint of maximum number of lines which can be expanded in transmission line corridor:
wherein Z is l max The number of the transmission lines can be expanded for the maximum number of the transmission line corridor l;
7) Node voltage phase angle constraint:
wherein,the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period;
8) N-1 is the upper and lower limit constraint of the active power of the thermal power unit under the expected accident condition:
wherein, For planning active power of a thermal power unit g under an expected accident k in a typical day h period of an mth month of a y-th year in a period, nk is the total number of expected accidents of a power transmission line N-1;
9) N-1 conventional thermal power generating unit climbing constraint under expected accident condition:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />The active power of the thermal power unit g under the expected accident k in the typical day h-1 period of the y-th year, the m-th month in the planning period;
10 N-1 node power balancing constraints in the event of an expected incident:
wherein,for the power transmission under expected accident k of typical day h period of the y-th year, m-month in the planning periodThe transmission active power of the line corridor l; />The active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />The power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
11 N-1 rejection of wind volume constraints in case of an expected accident:
wherein,the power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
12 Transmission capacity constraint of transmission line under expected accident situation) N-1:
Wherein nl is the total number of transmission line corridors; b (B) l Susceptance of a single-circuit transmission line on a transmission line corridor l; ny is the total years of the planning cycle;the number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the t-th year on a power transmission line corridor lThe newly increased number of the transmission lines; />Indicating whether or not there is a line outage in the transmission line corridor under the expected accident k +.>Indicating that there is a line outage in k transmission line hallways in the event of an expected accident,/->Indicating that no line is out of service in the transmission line corridor under the expected accident k; />The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; />Transmission capacity of a single-circuit transmission line on a transmission line corridor l;
13 N-1 node voltage phase angle constraint in the event of an expected incident:
wherein,and (5) predicting the voltage phase angle of the node i under the accident k for the typical day h period of the mth month of the y-th year in the planning period.
Preferably, the nonlinear constraint expression in the transmission capacity constraint of the power transmission line is converted into an equivalent linear expression:
wherein M is a constant.
Preferably, the nonlinear constraint expression in the transmission capacity constraint of the power transmission line in the expected accident situation of the N-1 is converted into an equivalent linear expression, namely:
The invention also provides a multi-stage power transmission network planning system considering the flexibility of the thermal power generating unit, which comprises:
the planning model construction module is used for constructing a multi-stage power transmission network planning optimization model considering the flexibility transformation of the thermal power generating unit, and the optimization model aims at minimizing the sum of the investment cost and the present value of the operation cost in the whole planning period and comprises a plurality of constraint conditions;
and the model solving module is used for converting the mixed integer nonlinear constraint condition in the optimization model into the mixed integer linear constraint condition, and solving the converted mixed integer linear programming model by using a mixed integer linear programming algorithm to obtain a final thermal power unit flexibility transformation and power transmission network multi-stage joint programming scheme.
Preferably, the system further comprises a model parameter setting module, wherein the model parameter setting module is used for inputting traditional thermal power unit parameters and current power grid power transmission element parameters before a model is built, inputting maximum load, maximum wind power, 24-hour load power and wind power change per unit time of each year on a typical day in a planning period, setting a thermal power unit range capable of participating in flexible transformation according to the running condition of the thermal power unit, setting transformation cost, setting candidate new power line range according to the corridor condition of a power transmission line, setting construction cost, and setting a wind power waste wind cost coefficient and a system allowable waste electricity rate.
Preferably, the objective function expression of the optimization model is:
wherein nw is the total number of wind farms; ny is the total years of the planning cycle; ng is the number of the conventional thermal power generating units; nl is the number of transmission line corridors planned to be constructed; alpha w Representing the wind abandoning punishment cost;the power discarding method comprises the steps of (1) setting the power discarding power of a wind power plant w in a typical day h period of an m-month of a y-th year in a planning period; beta g The flexibility transformation cost of the thermal power unit g is represented; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The thermal power generating unit g of the y year in the planning period is not subjected to flexibility transformation; c (C) l The investment cost is built for a single-circuit transmission line on the transmission corridor I; />Representing the number of newly-increased transmission lines in the y-th year on the transmission line corridor l; ρ is the rate of occurrence.
Preferably, the constraint condition includes:
1) Upper and lower limit constraint of active power of conventional thermal power generating unit:
wherein,and->The upper limit and the lower limit of the active power of the thermal power unit g are respectively set; />The method comprises the steps of planning active power of a thermal power unit g in a typical day h period of an mth year in a period; />The method comprises the steps of representing the increased depth peak shaving power of the thermal power unit by the y-th year through flexible transformation; ΔP g The method is characterized by representing the depth peak shaving power which can be increased by modifying the flexibility of the thermal power unit g; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The method is characterized in that the thermal power generating unit g of the y-th year does not carry out flexibility transformation in a planning period; z is Z g Is a binary variable, which indicates whether the thermal power unit g is flexibly transformed in the planning period, Z g =1 indicates the ruleFlexibility transformation is carried out on thermal power unit g in scribing period, Z g =0 shows that thermal power unit g does not perform flexibility modification in the planning period;
2) Conventional thermal power generating unit climbing constraint:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g in the typical day h-1 period of the y-th year, the m-th month in the planning period;
3) Node power balancing constraints:
wherein,the active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period;active power predictive value of wind power plant w in typical day h period of the y-th year, m-month in the planning period; />Active power predictive value of load d in typical day h period of the y-th year, m-month in the planning period; s is S i And E is i The total number of the power transmission lines taking the node i as the head and the terminal node is respectively; g i 、W i And D i Respectively representing the total number of thermal power units, wind power plants and loads on the node i; nb is the number of grid nodes;
4) Discarding wind power constraint:
wherein, gamma y Representing a set y-th allowable wind power rejection rate threshold;
5) Transmission capacity constraint of transmission line:
wherein B is l Susceptance of a single-circuit transmission line on a transmission line corridor l;the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period; />The number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period; />The transmission capacity of a single-circuit transmission line on a transmission line corridor I is used as the transmission capacity of the single-circuit transmission line;
6) Constraint of maximum number of lines which can be expanded in transmission line corridor:
wherein Z is l max Is a power transmission lineThe corridor l can enlarge the number of transmission lines at maximum;
7) Node voltage phase angle constraint:
wherein,the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period;
8) N-1 is the upper and lower limit constraint of the active power of the thermal power unit under the expected accident condition:
wherein, For planning active power of a thermal power unit g under an expected accident k in a typical day h period of an mth month of a y-th year in a period, nk is the total number of expected accidents of a power transmission line N-1;
9) N-1 conventional thermal power generating unit climbing constraint under expected accident condition:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />For expected accident k fire in typical day h-1 period of the y-th year, m-month in the planning periodActive power of the motor group g;
10 N-1 node power balancing constraints in the event of an expected incident:
wherein,the method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; />The active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />The power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
11 N-1 rejection of wind volume constraints in case of an expected accident:
wherein,the power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
12 Transmission capacity constraint of transmission line under expected accident situation) N-1:
Wherein nl is the total number of transmission line corridors; b (B) l Susceptance of a single-circuit transmission line on a transmission line corridor l; ny is the total years of the planning cycle;the number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />Indicating whether or not there is a line outage in the transmission line corridor under the expected accident k +.>Indicating that there is a line outage in k transmission line hallways in the event of an expected accident,/->Indicating that no line is out of service in the transmission line corridor under the expected accident k; />The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; />Transmission capacity of a single-circuit transmission line on a transmission line corridor l;
13 N-1 node voltage phase angle constraint in the event of an expected incident:
wherein,and (5) predicting the voltage phase angle of the node i under the accident k for the typical day h period of the mth month of the y-th year in the planning period.
The effects provided in the summary of the invention are merely effects of embodiments, not all effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
compared with the prior art, the method has the advantages that based on the time value of funds, the time sequence characteristics of load, wind power and the like are considered, the multi-stage power transmission network planning optimization model which considers the thermal power unit flexibility transformation is constructed, the mixed integer nonlinear constraint condition in the optimization model is converted into the mixed integer linear constraint condition, and the converted mixed integer linear planning model is solved by adopting the mixed integer linear programming method, so that a multi-stage combined decision scheme of the thermal power unit flexibility transformation and power transmission network planning is obtained, and the economy of the power system planning operation investment is improved.
Drawings
FIG. 1 is a flow chart of a multi-stage power transmission network planning method considering the flexibility of a thermal power generating unit according to an embodiment of the present invention;
fig. 2 is a block diagram of a multi-stage power transmission network planning system considering flexibility of a thermal power generating unit according to an embodiment of the present invention.
Detailed Description
In order to clearly illustrate the technical features of the present solution, the present invention will be described in detail below with reference to the following detailed description and the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different structures of the invention. In order to simplify the present disclosure, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted so as to not unnecessarily obscure the present invention.
The following describes in detail a multi-stage power transmission network planning method and system considering flexibility of a thermal power generating unit according to an embodiment of the present invention with reference to the accompanying drawings.
As shown in fig. 1, the invention discloses a multi-stage power transmission network planning method considering the flexibility of a thermal power generating unit, which comprises the following operations:
s1, inputting parameters of a traditional thermal power unit and parameters of a current power grid power transmission element, inputting maximum load, maximum wind power, 24-hour load power and wind power change per day of each year in a planning period, setting a thermal power unit range capable of participating in flexible transformation according to the running condition of the thermal power unit, setting transformation cost, setting candidate newly-built power line ranges according to the condition of a power transmission line corridor, setting construction cost, and setting a wind power waste cost coefficient and a system allowable waste rate.
S2, constructing a multi-stage power transmission network planning optimization model considering the flexibility transformation of the thermal power generating unit, wherein the optimization model aims at minimizing the sum of the investment cost and the present value of the operation cost in the whole planning period and comprises a plurality of constraint conditions.
The objective function expression of the optimization model is:
wherein nw is the total number of wind farms; ny is the total years of the planning cycle; ng is the number of the conventional thermal power generating units; nl is the number of transmission line corridors planned to be constructed; alpha w Representing the wind abandoning punishment cost; The power discarding method comprises the steps of (1) setting the power discarding power of a wind power plant w in a typical day h period of an m-month of a y-th year in a planning period; beta g The flexibility transformation cost of the thermal power unit g is represented; />Is a binary variable and represents whether the thermal power generating unit g of the y-th year enters in the planning periodLine flexibility improvement (I/O)>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The thermal power generating unit g of the y year in the planning period is not subjected to flexibility transformation; c (C) l The investment cost is built for a single-circuit transmission line on the transmission corridor I; />Representing the number of newly-increased transmission lines in the y-th year on the transmission line corridor l; ρ is the rate of occurrence.
The optimization model includes 13 constraints, specifically as follows:
1) Upper and lower limit constraint of active power of conventional thermal power generating unit:
wherein,and->The upper limit and the lower limit of the active power of the thermal power unit g are respectively set; />The method comprises the steps of planning active power of a thermal power unit g in a typical day h period of an mth year in a period; />The method comprises the steps of representing the increased depth peak shaving power of the thermal power unit by the y-th year through flexible transformation; ΔP g The method is characterized by representing the depth peak shaving power which can be increased by modifying the flexibility of the thermal power unit g; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period >The method is characterized in that the thermal power generating unit g of the y-th year does not carry out flexibility transformation in a planning period; z is Z g Is a binary variable, which indicates whether the thermal power unit g is flexibly transformed in the planning period, Z g =1 means that the thermal power generating unit g is flexibly transformed in the planning period, Z g =0 shows that the thermal power plant g is not flexibly retrofitted during the planning period.
2) Conventional thermal power generating unit climbing constraint:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g in the typical day h-1 period of the y-th year, the m-th month in the planning period.
3) Node power balancing constraints:
wherein,the active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period;active power predictive value of wind power plant w in typical day h period of the y-th year, m-month in the planning period; />Active power predictive value of load d in typical day h period of the y-th year, m-month in the planning period; s is S i And E is i The total number of the power transmission lines taking the node i as the head and the terminal node is respectively; g i 、W i And D i Respectively representing the total number of thermal power units, wind power plants and loads on the node i; nb is the grid node number.
4) Discarding wind power constraint:
Wherein, gamma y And the set allowable wind power rejection rate threshold value in the y-th year is shown.
5) Transmission capacity constraint of transmission line:
wherein B is l Susceptance of a single-circuit transmission line on a transmission line corridor l;the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period; />The number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period; />The transmission capacity of the single-circuit transmission line on the transmission line corridor l is obtained.
6) Constraint of maximum number of lines which can be expanded in transmission line corridor:
/>
wherein Z is l max The number of the transmission lines can be expanded for the maximum transmission line corridor l.
7) Node voltage phase angle constraint:
wherein,and the node i voltage phase angle of the typical day h period of the mth month of the y-th year in the planning period is calculated.
8) N-1 is the upper and lower limit constraint of the active power of the thermal power unit under the expected accident condition:
wherein,in order to plan the active power of the thermal power generating unit g under the expected accident k in the typical day h period of the mth year and the mth month in the period, nk is the total number of expected accidents of the power transmission line N-1.
9) N-1 conventional thermal power generating unit climbing constraint under expected accident condition:
Wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />And the active power of the thermal power unit g under the expected accident k in the typical day h-1 period of the y-th year, the m-th month in the planning period.
10 N-1 node power balancing constraints in the event of an expected incident:
wherein,the method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; />The active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />And (5) predicting the electric power discarding of the wind power plant w under the accident k for the typical day h period of the mth year in the planning period.
11 N-1 rejection of wind volume constraints in case of an expected accident:
wherein,and (5) predicting the electric power discarding of the wind power plant w under the accident k for the typical day h period of the mth year in the planning period.
12 Transmission capacity constraint of transmission line under expected accident situation) N-1:
wherein nl is the total number of transmission line corridors; b (B) l Susceptance of a single-circuit transmission line on a transmission line corridor l; ny is the total years of the planning cycle;the number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; / >Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />Indicating whether or not there is a line outage in the transmission line corridor under the expected accident k +.>Representing k transmission line walking under expected accidentThe corridor is provided with a line stop>Indicating that no line is out of service in the transmission line corridor under the expected accident k; />The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; />Transmission capacity of a single-circuit transmission line on a transmission line corridor l.
13 N-1 node voltage phase angle constraint in the event of an expected incident:
wherein,and (5) predicting the voltage phase angle of the node i under the accident k for the typical day h period of the mth month of the y-th year in the planning period.
S3, converting the mixed integer nonlinear constraint condition in the optimization model into a mixed integer linear constraint condition, and solving the converted mixed integer linear programming model by a mixed integer linear programming algorithm to obtain a final thermal power unit flexibility transformation and power transmission network multi-stage joint programming scheme.
The mixed integer nonlinear constraint expression is converted into an equivalent mixed integer linear expression, for example, the nonlinear constraint expression in the transmission capacity constraint of the transmission line is converted into an equivalent linear expression:
Wherein M is a constant.
Similarly, the non-linear constraint expression in the transmission capacity constraint of the transmission line in the case of the N-1 predicted accident is converted into an equivalent linear expression, namely:
in order to improve the solving and calculating efficiency after model conversion, the following auxiliary constraint conditions are introduced:
therefore, the optimization model is converted into a mixed integer linear programming model, and the mixed integer linear programming algorithm can be directly used for solving, so that a final thermal power unit flexibility transformation and power transmission network multi-stage joint planning scheme is obtained.
According to the embodiment of the invention, based on the time value of funds, the time sequence characteristics of load, wind power and the like are considered, a multi-stage power transmission network planning optimization model which considers the flexibility transformation of the thermal power unit is constructed, the mixed integer nonlinear constraint condition in the optimization model is converted into the mixed integer linear constraint condition, and the converted mixed integer linear planning model is solved by adopting a mixed integer linear programming method, so that a multi-stage combined decision scheme of the flexibility transformation of the thermal power unit and the power transmission network planning is obtained, and the economy of the power system planning operation investment is improved.
As shown in fig. 2, the embodiment of the invention further discloses a multi-stage power transmission network planning system considering flexibility of the thermal power generating unit, which comprises:
The planning model construction module is used for constructing a multi-stage power transmission network planning optimization model considering the flexibility transformation of the thermal power generating unit, and the optimization model aims at minimizing the sum of the investment cost and the present value of the operation cost in the whole planning period and comprises a plurality of constraint conditions;
and the model solving module is used for converting the mixed integer nonlinear constraint condition in the optimization model into the mixed integer linear constraint condition, and solving the converted mixed integer linear programming model by using a mixed integer linear programming algorithm to obtain a final thermal power unit flexibility transformation and power transmission network multi-stage joint programming scheme.
The system further comprises a model parameter setting module, wherein the model parameter setting module is used for inputting parameters of a traditional thermal power unit and parameters of a current power grid power transmission element before a model is built, inputting maximum load, maximum wind power, 24-hour load power and wind power change per day of each year in a planning period, setting a thermal power unit range capable of participating in flexible transformation according to the running condition of the thermal power unit, setting transformation cost, setting candidate newly-built power transmission line range according to the condition of a power transmission line corridor, setting construction cost, and setting a wind power waste cost coefficient and a system allowable waste rate.
The objective function expression of the optimization model is:
wherein nw is the total number of wind farms; ny is the total years of the planning cycle; ng is the number of the conventional thermal power generating units; nl is the number of transmission line corridors planned to be constructed; alpha w Representing the wind abandoning punishment cost;the power discarding method comprises the steps of (1) setting the power discarding power of a wind power plant w in a typical day h period of an m-month of a y-th year in a planning period; beta g The flexibility transformation cost of the thermal power unit g is represented; />Is a binary variable and represents the thermal power machine of the y year in the planning periodWhether group g is flexibly modified or not>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The thermal power generating unit g of the y year in the planning period is not subjected to flexibility transformation; c (C) l The investment cost is built for a single-circuit transmission line on the transmission corridor I; />Representing the number of newly-increased transmission lines in the y-th year on the transmission line corridor l; ρ is the rate of occurrence.
The optimization model includes 13 constraints, specifically as follows:
1) Upper and lower limit constraint of active power of conventional thermal power generating unit:
wherein,and->The upper limit and the lower limit of the active power of the thermal power unit g are respectively set; />For planning the active power of the thermal power unit g in typical day h period of the y-th year, the m-th month in the periodA rate; />The method comprises the steps of representing the increased depth peak shaving power of the thermal power unit by the y-th year through flexible transformation; ΔP g The method is characterized by representing the depth peak shaving power which can be increased by modifying the flexibility of the thermal power unit g; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The method is characterized in that the thermal power generating unit g of the y-th year does not carry out flexibility transformation in a planning period; z is Z g Is a binary variable, which indicates whether the thermal power unit g is flexibly transformed in the planning period, Z g =1 means that the thermal power generating unit g is flexibly transformed in the planning period, Z g =0 shows that the thermal power plant g is not flexibly retrofitted during the planning period. />
2) Conventional thermal power generating unit climbing constraint:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g in the typical day h-1 period of the y-th year, the m-th month in the planning period.
3) Node power balancing constraints:
wherein,the active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period;active power predictive value of wind power plant w in typical day h period of the y-th year, m-month in the planning period; />Active power predictive value of load d in typical day h period of the y-th year, m-month in the planning period; s is S i And E is i The total number of the power transmission lines taking the node i as the head and the terminal node is respectively; g i 、W i And D i Respectively representing the total number of thermal power units, wind power plants and loads on the node i; nb is the grid node number.
4) Discarding wind power constraint:
wherein, gamma y And the set allowable wind power rejection rate threshold value in the y-th year is shown.
5) Transmission capacity constraint of transmission line:
wherein B is l Susceptance of a single-circuit transmission line on a transmission line corridor l;the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period; />The number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period; />The transmission capacity of the single-circuit transmission line on the transmission line corridor l is obtained.
6) Constraint of maximum number of lines which can be expanded in transmission line corridor:
wherein Z is l max The number of the transmission lines can be expanded for the maximum transmission line corridor l.
7) Node voltage phase angle constraint:
/>
wherein,and the node i voltage phase angle of the typical day h period of the mth month of the y-th year in the planning period is calculated.
8) N-1 is the upper and lower limit constraint of the active power of the thermal power unit under the expected accident condition:
wherein, In order to plan the active power of the thermal power generating unit g under the expected accident k in the typical day h period of the mth year and the mth month in the period, nk is the total number of expected accidents of the power transmission line N-1.
9) N-1 conventional thermal power generating unit climbing constraint under expected accident condition:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />And the active power of the thermal power unit g under the expected accident k in the typical day h-1 period of the y-th year, the m-th month in the planning period.
10 N-1 node power balancing constraints in the event of an expected incident:
wherein,the method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; />The active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period; />And (5) predicting the electric power discarding of the wind power plant w under the accident k for the typical day h period of the mth year in the planning period.
11 N-1 rejection of wind volume constraints in case of an expected accident:
wherein,and (5) predicting the electric power discarding of the wind power plant w under the accident k for the typical day h period of the mth year in the planning period.
12 Transmission capacity constraint of transmission line under expected accident situation) N-1:
Wherein nl is the total number of transmission line corridors; b (B) l Susceptance of a single-circuit transmission line on a transmission line corridor l; ny is the total years of the planning cycle;the number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />Indicating whether or not there is a line outage in the transmission line corridor under the expected accident k +.>Representing the expected eventsTherefore, the corridor of the lower k transmission lines is provided with line stop, < ->Indicating that no line is out of service in the transmission line corridor under the expected accident k; />The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; />Transmission capacity of a single-circuit transmission line on a transmission line corridor l.
13 N-1 node voltage phase angle constraint in the event of an expected incident:
wherein,and (5) predicting the voltage phase angle of the node i under the accident k for the typical day h period of the mth month of the y-th year in the planning period.
And converting the mixed integer nonlinear constraint condition in the optimization model into a mixed integer linear constraint condition, and solving the converted mixed integer linear programming model by a mixed integer linear programming algorithm to obtain a final thermal power unit flexibility transformation and power transmission network multi-stage joint programming scheme.
The mixed integer nonlinear constraint expression is converted into an equivalent mixed integer linear expression, for example, the nonlinear constraint expression in the transmission capacity constraint of the transmission line is converted into an equivalent linear expression:
wherein M is a constant.
Similarly, the non-linear constraint expression in the transmission capacity constraint of the transmission line in the case of the N-1 predicted accident is converted into an equivalent linear expression, namely:
in order to improve the solving and calculating efficiency after model conversion, the following auxiliary constraint conditions are introduced:
therefore, the optimization model is converted into a mixed integer linear programming model, and the mixed integer linear programming algorithm can be directly used for solving, so that a final thermal power unit flexibility transformation and power transmission network multi-stage joint planning scheme is obtained.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims (6)

1. A multi-stage power transmission network planning method taking into account thermal power plant flexibility, the method comprising the operations of:
constructing a multi-stage power transmission network planning optimization model considering the flexibility transformation of the thermal power generating unit, wherein the optimization model aims at minimizing the sum of the investment cost and the present value of the operation cost in the whole planning period and comprises a plurality of constraint conditions; the objective function expression of the optimization model is as follows:
Wherein nw is the total number of wind farms; ny is the total years of the planning cycle; ng is the number of the conventional thermal power generating units; nl is the number of transmission line corridors planned to be constructed; alpha w Representing the wind abandoning punishment cost;the power discarding method comprises the steps of (1) setting the power discarding power of a wind power plant w in a typical day h period of an m-month of a y-th year in a planning period; beta g The flexibility transformation cost of the thermal power unit g is represented; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The thermal power generating unit g of the y year in the planning period is not subjected to flexibility transformation; c (C) l The investment cost is built for a single-circuit transmission line on the transmission corridor I; />Representing the number of newly-increased transmission lines in the y-th year on the transmission line corridor l; ρ is the rate of occurrence;
the constraint conditions include:
1) Upper and lower limit constraint of active power of conventional thermal power generating unit:
wherein,and->The upper limit and the lower limit of the active power of the thermal power unit g are respectively set; />The method comprises the steps of planning active power of a thermal power unit g in a typical day h period of an mth year in a period; />The method comprises the steps of representing the increased depth peak shaving power of the thermal power unit by the y-th year through flexible transformation; ΔP g The method is characterized by representing the depth peak shaving power which can be increased by modifying the flexibility of the thermal power unit g; / >As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The method is characterized in that the thermal power generating unit g of the y-th year does not carry out flexibility transformation in a planning period; z is Z g Is a binary variable, which indicates whether the thermal power unit g is flexibly transformed in the planning period, Z g =1 means that the thermal power generating unit g is flexibly transformed in the planning period, Z g =0 shows that thermal power unit g does not perform flexibility modification in the planning period;
2) Conventional thermal power generating unit climbing constraint:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g in the typical day h-1 period of the y-th year, the m-th month in the planning period;
3) Node power balancing constraints:
wherein P is l y,m,h The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period;active power predictive value of wind power plant w in typical day h period of the y-th year, m-month in the planning period; />Active power predictive value of load d in typical day h period of the y-th year, m-month in the planning period; s is S i And E is i Respectively beginning with node i The total number of transmission lines of the end nodes; g i 、W i And D i Respectively representing the total number of thermal power units, wind power plants and loads on the node i; nb is the number of grid nodes;
4) Discarding wind power constraint:
wherein, gamma y Representing a set y-th allowable wind power rejection rate threshold;
5) Transmission capacity constraint of transmission line:
wherein B is l Susceptance of a single-circuit transmission line on a transmission line corridor l; θ i y,m,h The voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period;the number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; p (P) l y,m,h The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period; p (P) l max The transmission capacity of a single-circuit transmission line on a transmission line corridor I is used as the transmission capacity of the single-circuit transmission line;
6) Constraint of maximum number of lines which can be expanded in transmission line corridor:
wherein Z is l max Is a power transmission lineThe corridor l can enlarge the number of transmission lines at maximum;
7) Node voltage phase angle constraint:
wherein,the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period;
8) N-1 is the upper and lower limit constraint of the active power of the thermal power unit under the expected accident condition:
wherein,for planning active power of a thermal power unit g under an expected accident k in a typical day h period of an mth month of a y-th year in a period, nk is the total number of expected accidents of a power transmission line N-1;
9) N-1 conventional thermal power generating unit climbing constraint under expected accident condition:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period;the active power of the thermal power unit g under the expected accident k in the typical day h-1 period of the y-th year, the m-th month in the planning period;
10 N-1 node power balancing constraints in the event of an expected incident:
wherein P is l y,m,h,k The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period;the power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
11 N-1 rejection of wind volume constraints in case of an expected accident:
wherein,the power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
12 Transmission capacity constraint of transmission line under expected accident situation) N-1:
wherein nl is the total number of transmission line corridors; b (B) l Susceptance of a single-circuit transmission line on a transmission line corridor l; ny is the total years of the planning cycle; The number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; />Indicating whether or not there is a line outage in the transmission line corridor under the expected accident k +.>Indicating that there is a line outage in k transmission line hallways in the event of an expected accident,/->Indicating that no line is out of service in the transmission line corridor under the expected accident k; p (P) l y,m,h,k The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; p (P) l max Transmission capacity of a single-circuit transmission line on a transmission line corridor l;
13 N-1 node voltage phase angle constraint in the event of an expected incident:
wherein,to plan for the periodThe node i voltage phase angle under the expected accident k in the typical day h period of the m month of y years;
and converting the mixed integer nonlinear constraint condition in the optimization model into a mixed integer linear constraint condition, and solving the converted mixed integer linear programming model by a mixed integer linear programming algorithm to obtain a final thermal power unit flexibility transformation and power transmission network multi-stage joint programming scheme.
2. The multi-stage power transmission network planning method considering flexibility of a thermal power unit according to claim 1, further comprising the steps of inputting traditional thermal power unit parameters and current power transmission element parameters of a power transmission network before a model is built, inputting maximum loads, maximum wind power, 24-hour load power and wind power change per month in a planning period, setting a thermal power unit range capable of participating in flexibility transformation according to running conditions of the thermal power unit, setting transformation cost, setting candidate newly built power transmission line ranges according to conditions of a power transmission line corridor, setting construction cost, and setting wind power wind discarding cost coefficients and allowable wind discarding rate of a system.
3. A multi-stage power transmission network planning method taking into account thermal power unit flexibility according to claim 1, wherein the nonlinear constraint expression in the transmission capacity constraint of the power transmission line is converted into an equivalent linear expression:
wherein M is a constant.
4. A multi-stage power transmission network planning method taking into account thermal power unit flexibility according to claim 1, wherein the non-linear constraint expression in the transmission capacity constraint of the power transmission line in the event of N-1 predicted accident is converted into an equivalent linear expression, namely:
5. a multi-stage power transmission grid planning system that accounts for thermal power generation unit flexibility, the system comprising:
the planning model construction module is used for constructing a multi-stage power transmission network planning optimization model considering the flexibility transformation of the thermal power generating unit, and the optimization model aims at minimizing the sum of the investment cost and the present value of the operation cost in the whole planning period and comprises a plurality of constraint conditions; the objective function expression of the optimization model is as follows:
wherein nw is the total number of wind farms; ny is the total years of the planning cycle; ng is the number of the conventional thermal power generating units; nl is the number of transmission line corridors planned to be constructed; alpha w Representing the wind abandoning punishment cost;the power discarding method comprises the steps of (1) setting the power discarding power of a wind power plant w in a typical day h period of an m-month of a y-th year in a planning period; beta g The flexibility transformation cost of the thermal power unit g is represented; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period>The thermal power generating unit g of the y year in the planning period is not subjected to flexibility transformation; c (C) l The investment cost is built for a single-circuit transmission line on the transmission corridor I; />Representing the number of newly-increased transmission lines in the y-th year on the transmission line corridor l; ρ is the rate of occurrence;
the constraint conditions include:
1) Upper and lower limit constraint of active power of conventional thermal power generating unit:
wherein,and->The upper limit and the lower limit of the active power of the thermal power unit g are respectively set; />For planning the y-th year m in the periodActive power of thermal power unit g in month typical day h period; />The method comprises the steps of representing the increased depth peak shaving power of the thermal power unit by the y-th year through flexible transformation; ΔP g The method is characterized by representing the depth peak shaving power which can be increased by modifying the flexibility of the thermal power unit g; />As binary variables, it is indicated whether the thermal power unit g of the y-th year is subjected to flexibility improvement in the planning period, and +.>Indicating that thermal power generating unit g in the y-th year is flexibly transformed in the planning period >The method is characterized in that the thermal power generating unit g of the y-th year does not carry out flexibility transformation in a planning period; z is Z g Is a binary variable, which indicates whether the thermal power unit g is flexibly transformed in the planning period, Z g =1 means that the thermal power generating unit g is flexibly transformed in the planning period, Z g =0 shows that thermal power unit g does not perform flexibility modification in the planning period;
2) Conventional thermal power generating unit climbing constraint:
wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g in the typical day h-1 period of the y-th year, the m-th month in the planning period;
3) Node power balancing constraints:
wherein P is l y,m,h The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period;active power predictive value of wind power plant w in typical day h period of the y-th year, m-month in the planning period; />Active power predictive value of load d in typical day h period of the y-th year, m-month in the planning period; s is S i And E is i The total number of the power transmission lines taking the node i as the head and the terminal node is respectively; g i 、W i And D i Respectively representing the total number of thermal power units, wind power plants and loads on the node i; nb is the number of grid nodes;
4) Discarding wind power constraint:
Wherein, gamma y Representing a set y-th allowable wind power rejection rate threshold;
5) Transmission capacity constraint of transmission line:
wherein B is l Susceptance of a single-circuit transmission line on a transmission line corridor l;the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period; />The number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; />Representing the number of newly increased transmission lines in the t-th year on the transmission line corridor l; p (P) l y,m,h The active power is transmitted to a power transmission line corridor l in a typical day h period of an mth month of a y-th year in a planning period; p (P) l max The transmission capacity of a single-circuit transmission line on a transmission line corridor I is used as the transmission capacity of the single-circuit transmission line;
6) Constraint of maximum number of lines which can be expanded in transmission line corridor:
wherein Z is l max The number of the transmission lines can be expanded for the maximum number of the transmission line corridor l;
7) Node voltage phase angle constraint:
wherein,the voltage phase angle of the node i in the typical day h period of the m-month of the y-th year in the planning period;
8) N-1 is the upper and lower limit constraint of the active power of the thermal power unit under the expected accident condition:
wherein,for planning active power of a thermal power unit g under an expected accident k in a typical day h period of an mth month of a y-th year in a period, nk is the total number of expected accidents of a power transmission line N-1;
9) N-1 conventional thermal power generating unit climbing constraint under expected accident condition:
Wherein R is g The climbing speed of the thermal power unit g is the climbing speed of the thermal power unit g when not being modified; deltaR g The change quantity of the climbing rate after the flexibility of the thermal power unit g is improved;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period;the active power of the thermal power unit g under the expected accident k in the typical day h-1 period of the y-th year, the m-th month in the planning period;
10 N-1 node power balancing constraints in the event of an expected incident:
wherein P is l y,m,h,k The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period;the active power of the thermal power unit g under the expected accident k in the typical day h period of the y-th year, the m-th month in the planning period;the power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
11 N-1 rejection of wind volume constraints in case of an expected accident:
wherein,the power discarding method comprises the steps of predicting the power discarding power of a wind power plant w under an accident k for a typical day h period of an m-month of a y-th year in a planning period;
12 Transmission capacity constraint of transmission line under expected accident situation) N-1:
wherein nl is the total number of transmission line corridors; b (B) l Susceptance of a single-circuit transmission line on a transmission line corridor l; ny is the total years of the planning cycle;the number of the existing transmission lines on the transmission line corridor l is the number of the existing transmission lines; / >Representing a power lineThe number of the transmission lines newly added in the t-th year on the corridor l; />Indicating whether or not there is a line outage in the transmission line corridor under the expected accident k +.>Indicating that there is a line outage in k transmission line hallways in the event of an expected accident,/->Indicating that no line is out of service in the transmission line corridor under the expected accident k; p (P) l y,m,h,k The method comprises the steps that active power is transmitted to a transmission line corridor l under an expected accident k in a typical day h period of an mth month of a y-th year in a planning period; p (P) l max Transmission capacity of a single-circuit transmission line on a transmission line corridor l;
13 N-1 node voltage phase angle constraint in the event of an expected incident:
wherein,the voltage phase angle of the node i under the expected accident k in the typical day h period of the m-month of the y-th year in the planning period;
and the model solving module is used for converting the mixed integer nonlinear constraint condition in the optimization model into the mixed integer linear constraint condition, and solving the converted mixed integer linear programming model by using a mixed integer linear programming algorithm to obtain a final thermal power unit flexibility transformation and power transmission network multi-stage joint programming scheme.
6. The multi-stage power transmission network planning system considering flexibility of a thermal power unit according to claim 5, further comprising a model parameter setting module for inputting parameters of a traditional thermal power unit and parameters of power transmission elements of a current power network before constructing a model, and inputting maximum load, maximum wind power, 24-hour load power and standard values of wind power change of typical days each year per month in a planning period, setting a thermal power unit range capable of participating in flexibility improvement according to the running condition of the thermal power unit, setting improvement cost, setting candidate new power transmission line range according to the condition of a power transmission line corridor, setting construction cost, and setting a wind power wind discarding cost coefficient and a system allowable electricity discarding rate.
CN202010758007.5A 2020-07-31 2020-07-31 Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit Active CN111799842B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010758007.5A CN111799842B (en) 2020-07-31 2020-07-31 Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010758007.5A CN111799842B (en) 2020-07-31 2020-07-31 Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit

Publications (2)

Publication Number Publication Date
CN111799842A CN111799842A (en) 2020-10-20
CN111799842B true CN111799842B (en) 2023-11-10

Family

ID=72827921

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010758007.5A Active CN111799842B (en) 2020-07-31 2020-07-31 Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit

Country Status (1)

Country Link
CN (1) CN111799842B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116703084B (en) * 2023-06-05 2024-03-22 东北林业大学 Multi-technology flexibility transformation planning method for coal-fired unit based on high wind power permeability

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105528466A (en) * 2014-09-28 2016-04-27 国家电网公司 Wind power optimal planning modeling method considering adaptability and economy of power system
CN106953354A (en) * 2017-03-10 2017-07-14 国网山东省电力公司经济技术研究院 Consider the method for Unit Commitment containing wind-powered electricity generation of voltage support
CN108847667A (en) * 2018-08-03 2018-11-20 国网山东省电力公司经济技术研究院 A kind of method for expansion planning of power transmission network considering electric network composition optimization
CN109102115A (en) * 2018-08-03 2018-12-28 国网山东省电力公司经济技术研究院 A kind of reference power grid chance constrained programming method adapting to wind-powered electricity generation large-scale grid connection
CN109146706A (en) * 2018-08-14 2019-01-04 国网四川省电力公司经济技术研究院 A kind of Transmission Expansion Planning in Electric method considering the flexibility equilibrium of supply and demand
CN109165773A (en) * 2018-08-03 2019-01-08 国网山东省电力公司经济技术研究院 A kind of Transmission Expansion Planning in Electric evolutionary structural optimization
CN110429591A (en) * 2019-08-02 2019-11-08 西安交通大学 A kind of power transmission network utilization rate appraisal procedure based on electric system timing coupling
CN110808597A (en) * 2019-11-06 2020-02-18 山东电力工程咨询院有限公司 Distributed power supply planning method considering three-phase imbalance in active power distribution network
CN110852565A (en) * 2019-10-10 2020-02-28 国家电网有限公司 Power transmission network frame planning method considering different functional attributes
CN110880791A (en) * 2019-12-24 2020-03-13 国网节能服务有限公司 Coordination optimization method for hybrid alternating current-direct current power distribution network

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105528466A (en) * 2014-09-28 2016-04-27 国家电网公司 Wind power optimal planning modeling method considering adaptability and economy of power system
CN106953354A (en) * 2017-03-10 2017-07-14 国网山东省电力公司经济技术研究院 Consider the method for Unit Commitment containing wind-powered electricity generation of voltage support
CN108847667A (en) * 2018-08-03 2018-11-20 国网山东省电力公司经济技术研究院 A kind of method for expansion planning of power transmission network considering electric network composition optimization
CN109102115A (en) * 2018-08-03 2018-12-28 国网山东省电力公司经济技术研究院 A kind of reference power grid chance constrained programming method adapting to wind-powered electricity generation large-scale grid connection
CN109165773A (en) * 2018-08-03 2019-01-08 国网山东省电力公司经济技术研究院 A kind of Transmission Expansion Planning in Electric evolutionary structural optimization
CN109146706A (en) * 2018-08-14 2019-01-04 国网四川省电力公司经济技术研究院 A kind of Transmission Expansion Planning in Electric method considering the flexibility equilibrium of supply and demand
CN110429591A (en) * 2019-08-02 2019-11-08 西安交通大学 A kind of power transmission network utilization rate appraisal procedure based on electric system timing coupling
CN110852565A (en) * 2019-10-10 2020-02-28 国家电网有限公司 Power transmission network frame planning method considering different functional attributes
CN110808597A (en) * 2019-11-06 2020-02-18 山东电力工程咨询院有限公司 Distributed power supply planning method considering three-phase imbalance in active power distribution network
CN110880791A (en) * 2019-12-24 2020-03-13 国网节能服务有限公司 Coordination optimization method for hybrid alternating current-direct current power distribution network

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
中期火电开机优化的混合搜索算法;王静;廖胜利;程春田;蔡华祥;;中国电机工程学报(第01期);94-100 *
火电机组热力系统主导因素变工况建模方法研究;杨波;李政;;中国电机工程学报(24);96-102 *
考虑运行方式优化和拓扑校正控制的参考电网优化方法;孙东磊;李雪亮;韩学山;李山;杨思;杨金洪;;电力系统保护与控制(第13期);97-102 *

Also Published As

Publication number Publication date
CN111799842A (en) 2020-10-20

Similar Documents

Publication Publication Date Title
CN102097866B (en) Mid-long-term unit commitment optimizing method
CN107153885B (en) Real-time power generation plan optimization method considering deep peak shaving of thermal power generating unit
CN108898265B (en) Integrated planning method for comprehensive energy system
CN110148969B (en) Active power distribution network optimized operation method based on model predictive control technology
CN108847667B (en) Power transmission network extension planning method considering power grid structure optimization
CN102496968A (en) Generation plan optimizing method in intermittent energy and conventional energy coordinated dispatching mode
CN103414206A (en) Water, fire and light combined optimization power generation scheduling optimization method considering security constraints
CN110571850B (en) Wind power plant power fluctuation track prediction and correction control method
CN112072710B (en) Source network load integrated economic dispatching method and system considering demand response
CN107947166B (en) Dispatching method and device when a kind of multipotency microgrid change based on dynamic matrix control
CN101989743B (en) Energy-saving power generation dispatching optimization method based on direct current power flow
CN113659627A (en) Optimal scheduling method for micro-grid containing photovoltaic power generation and liquid air energy storage
CN110867907B (en) Power system scheduling method based on multi-type power generation resource homogenization
CN111799841B (en) Combined decision method and system for thermal power generating unit flexibility transformation and power transmission planning
CN111799793B (en) Source-grid-load cooperative power transmission network planning method and system
CN116402210A (en) Multi-objective optimization method, system, equipment and medium for comprehensive energy system
CN111799842B (en) Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit
Hu et al. Adaptive time division power dispatch based on numerical characteristics of net loads
CN116540545A (en) Photovoltaic power generation hydrogen production cluster random optimization scheduling method based on ember process
CN109659981B (en) Multi-time scale trans-regional consumption method considering new energy prediction uncertainty
CN114884101B (en) Pumped storage dispatching method based on self-adaptive model control prediction
CN115425650A (en) Power supply station microgrid configuration method, device, equipment and medium
CN115422758A (en) Active power distribution network intelligent soft switch planning method and device based on incremental linearization
CN114943448A (en) Method and system for constructing micro-grid optimized scheduling model
CN109474006B (en) Method for positioning and eliminating daily execution electric quantity out-of-limit factors of unit

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant