CN113592673A - Power transmission network planning cost benefit evaluation method in power market environment - Google Patents
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Abstract
A power transmission network planning cost benefit assessment method in an electric power market environment comprises the following steps: determining the characteristics of the power transmission network in a planning target year and a current year; establishing a power transmission network planning scheme and power transmission equipment technical characteristic parameters thereof in a planning target year; establishing characteristic parameters of the thermoelectric generator set in the electric power market; determining the power generation power of each wind power and photovoltaic power station and the power consumption power of the power system power load in each hour all the year around the planning target year; constructing a power market simulation model; obtaining basic scene electric power market simulation data according to the electric power market simulation model; obtaining planning scenario electric power market simulation data on the basis of the basic scenario electric power market simulation data; and simulating according to the simulation data of the basic scenario electric power market and the simulation data of the planning scenario electric power market to obtain a result, and calculating a planning cost benefit value of the power transmission network. The invention can more comprehensively consider the influence of the power transmission planning on the benefits of the power grid system, the power users and the whole society.
Description
Technical Field
The invention relates to a power transmission network planning cost evaluation method. In particular to a power transmission network planning cost benefit evaluation method in an electric power market environment.
Background
In order to systematically reduce carbon and decarbonize, the power industry accelerates the construction of a novel power system mainly based on new energy. However, large-scale high-proportion new energy grid connection brings severe challenges to a power system, the contradiction between the surplus of the total electric quantity and the mismatch of space and time is increasingly prominent, and the uncertainty of power grid planning and operation is greatly increased. Meanwhile, a planning and scheduling mode is gradually replaced by medium and long-term trading and spot market mechanisms, new energy gradually participates in marketization trading, demand response resources such as energy storage and electric vehicles are gradually brought into the market, the aspects of safe operation, system cost and market operation coordination are considered to be more and more complicated in the power grid planning process, the traditional power grid planning method is not completely applicable any more, and comprehensive optimization and improvement are needed.
Traditional power grid planning methods are based on load prediction and power supply planning. The power grid planning determines when and where to put on what type of transmission lines and the number of loops thereof so as to achieve the transmission capacity required in the planning period, and the cost of the transmission system is minimized on the premise of meeting various technical indexes.
The power grid planning of developed countries or regions in Europe and America is based on competitive power markets, factors such as load distribution, power supply planning and new energy planning are considered, an overall power grid development strategy and a target grid frame are formulated according to different development positioning and requirements of different regions, the power grid structure is optimized, power supply capacity and reliability are improved, reasonable storage, space reasonable layout and time reasonable transition of power supply capacity of a power grid are achieved, and overall social welfare is improved. Therefore, the economic benefits of the interest-relevant parties should be mainly evaluated in the process of planning the power grid in the power market environment.
The domestic power transmission network planning mostly depends on a mechanism of planning and allocating resources, adopts an electric power and electric quantity balance mode of government pricing and planning and scheduling, mainly focuses on total quantity balance, and neglects difference of contribution of different power supply structures to the economy of an electric power market and actual characteristics of loads. With the accelerating construction of a novel power system with new energy as a main body in the power industry, power transmission network planning is based on a power market, so that the power market plays a decisive role in power resource allocation, and power transmission network construction and power supply investment are guided through market signals.
Disclosure of Invention
The invention aims to provide a power transmission network planning cost benefit evaluation method in an electric power market environment.
The technical scheme adopted by the invention is as follows: a power transmission network planning cost benefit evaluation method in an electric power market environment comprises the following steps:
1) determining a planning target year yplan；
2) Determining characteristics of the transmission network in the current year, including starting nodes, ending nodes and reactance values x of the transmission line and the transformation equipmentplan；
3) Establishing a power transmission network planning scheme for planning a target year and technical characteristic parameters of power transmission equipment in the planning scheme, wherein the technical characteristic parameters comprise: starting node, terminating node, impedance value x of power transmission equipmentplanInvestment cost Cplan；
4) Establishing characteristic parameters of thermal power generating sets in the power market, including power generation cost and rated power of each generating set
Minimum generated power
Climbing rate RDth,i；
5) Determining the generating power P of each wind power and photovoltaic power station in each hour of the whole year of the planning target yearre,i,tWherein t is 1-8760 hours；
6) Electric power LD for all-year-round hourly power system power load for determining planning target yeartWherein t is 1-8760 hours;
7) constructing an electric power market simulation model, wherein the electric power market simulation model is a linear programming model, an objective function in the model is to minimize the system power generation cost, and constraint conditions in the model comprise: the method comprises the following steps of (1) limiting the output upper limit and the output lower limit of a thermal power unit, limiting the output of a quoted section of the thermal power unit, limiting the total output of the thermal power unit, limiting the climbing of the thermal power unit, limiting the power balance and limiting the transmission safety;
8) substituting the generated power of the wind power and photovoltaic power stations in the planned target year, the characteristic parameters of the thermal power generating set in the planned target year, the power consumption of the power load of the power system in the planned target year and the network characteristics of the power transmission network in the current year into a power market simulation model to obtain basic scene power market simulation data; optimizing and calculating the annual power market simulation of the basic situation to obtain the system marginal electricity price lmp of each time periodt,baseAnd an amount of electric load power ld supplied per periodt,base；
9) Adding technical characteristic parameters of a power transmission network planning scheme for planning a target year into the basic scenario electric power market simulation data to obtain the planning scenario electric power market simulation data, performing optimization calculation of the planning scenario annual electric power market simulation, and obtaining the system marginal electricity price lmp of each time intervalt,planAnd an amount of electric load power ld supplied per periodt,plan；
10) And simulating according to the simulation data of the basic scenario electric power market and the simulation data of the planning scenario electric power market to obtain a result, and calculating a planning cost benefit value of the power transmission network.
The power transmission network planning cost benefit evaluation method in the power market environment has the following advantages and beneficial effects:
1. the power transmission network planning method provided by the invention deeply researches how to carry out power transmission network planning work in the power spot market environment according to the actual situation of a power grid, and is favorable for improving the overall benefit of a power market on the basis of safe and stable operation of the power grid.
2. The power transmission network planning method provided by the invention can comprehensively consider the benefits of various market main bodies, new energy consumption and the development targets of the power grid, and can more comprehensively consider the effect of power transmission planning on the benefits of the power grid system, power users and the whole society.
3. The technical problem that the current power transmission network planning cost benefit evaluation depends on plan approximate calculation and neglects market factors is solved.
Drawings
Fig. 1 is a flowchart of a power transmission network planning cost-effectiveness evaluation method in an electric power market environment according to the present invention.
Detailed Description
The following provides a detailed description of the vertical wave buoy detection device and method based on the lead screw and the linear guide rail according to the present invention with reference to the following embodiments and accompanying drawings.
As shown in fig. 1, the method for evaluating cost effectiveness of power transmission network planning in an electric power market environment of the present invention includes the following steps:
1) determining a planning target year yplan；
2) Determining characteristics of the transmission network in the current year, including starting nodes, ending nodes and reactance values x of the transmission line and the transformation equipmentplan；
3) Establishing a power transmission network planning scheme for planning a target year and technical characteristic parameters of power transmission equipment in the planning scheme, wherein the technical characteristic parameters comprise: starting node, terminating node, impedance value x of power transmission equipmentplanInvestment cost Cplan；
4) Establishing characteristic parameters of thermal power generating sets in the power market, including power generation cost and rated power of each generating set
Minimum generated power
Climbing rate RDth,i；
5) Determining gaugeGenerating power P of each wind power and photovoltaic power station in each hour of whole year of dividing target yearre，i,tWherein t is 1-8760 hours;
6) electric power LD for all-year-round hourly power system power load for determining planning target yeartWherein t is 1-8760 hours;
7) constructing an electric power market simulation model, wherein the electric power market simulation model is a linear programming model, an objective function in the model is to minimize the system power generation cost, and constraint conditions in the model comprise: the method comprises the following steps of (1) limiting the output upper limit and the output lower limit of a thermal power unit, limiting the output of a quoted section of the thermal power unit, limiting the total output of the thermal power unit, limiting the climbing of the thermal power unit, limiting the power balance and limiting the transmission safety; wherein the content of the first and second substances,
the objective function of the power market simulation model is as follows:
wherein C is the investment cost,
for the actual output power of the thermal power generating unit b in the quotation section U at the moment t,
and (4) the power generation cost of the generator set b in the quotation section U at the moment T, T is 8760 hours, and BU is the total number of the generators.
The constraint conditions of the power market simulation model are as follows:
(1) upper and lower limits of thermal power unit output
(2) Thermal power generating unit quotation section output limit
(3) Thermal power generating unit total output constraint
(4) Thermal power generating unit climbing restraint
pth,i,t-1-pth，i，t≤RDth,i (5)
pth,i,t-pth,i,t-1≤RDth,i (6)
(5) Power balance constraint
(6) Transmission safety constraints
Wherein the content of the first and second substances,
for the actual output power of the thermal power generating unit b in the quotation section U at the moment t,
is the minimum generating power of the thermal power generating unit at the moment t,
rated power p of thermal power generating unit at time tth,i,tIs the actual generating power p of the thermal power generating unit at the moment tth,i,t-1The actual generated power of the thermal power generating unit at the time t-1,
is the maximum output power, RD, of the generator set b at the quoted price section U at the moment tth,iIs the climbing rate, LD, of the thermal power generating unittTo, the power train at time tThe system power load uses the electric power,
is the lower limit of the current of the l section at the time t,
is the upper current limit, SF, of the section at time tl，i，tIs the tidal current sensitivity, p, of the i-node of the l-section at time ti，tIs the i-node total injected power, pj，tIs the j node total output power.
8) Substituting the generated power of the wind power and photovoltaic power stations in the planned target year, the characteristic parameters of the thermal power generating set in the planned target year, the power consumption of the power load of the power system in the planned target year and the network characteristics of the power transmission network in the current year into a power market simulation model to obtain basic scene power market simulation data; optimizing and calculating the annual power market simulation of the basic situation to obtain the system marginal electricity price lmp of each time periodt,baseAnd an amount of electric load power ld supplied per periodt,base；
9) Adding technical characteristic parameters of a power transmission network planning scheme for planning a target year into the basic scenario electric power market simulation data to obtain the planning scenario electric power market simulation data, performing optimization calculation of the planning scenario annual electric power market simulation, and obtaining the system marginal electricity price lmp of each time intervalt,planAnd an amount of electric load power ld supplied per periodt,plan；
10) And simulating according to the simulation data of the basic scenario electric power market and the simulation data of the planning scenario electric power market to obtain a result, and calculating a planning cost benefit value of the power transmission network. The calculating of the cost-benefit value of the power transmission network planning comprises the following steps:
(1) calculating the total electricity purchasing cost of the power load in the basic scene power system;
(2) calculating the total electricity purchasing cost of the power load in the planning scene power system;
(3) calculating the economic benefit of the power transmission network planning on the power market;
Bplan＝LPplan-LPbase
(4) a power transmission network planning cost benefit value;
CBplan＝Cplan/Bplan
wherein, LPbaseIs the total electricity purchase cost, lmp, of the electrical loads in the underlying scenario electrical power systemt,baseMarginal price of electricity, ld, of the system for each period of the base scenariot,baseThe amount of electrical load power supplied per time period for the base scenario; LPplanTo plan the total cost of electricity purchased for a power load in a situational power system, lmpt,planTo plan the system marginal price of electricity, ld, for each period of the scenet,planThe amount of electrical load power supplied per time period for planning scenarios, CplanInvestment costs for planning the electric power market for transmission networks, BplanEconomic benefits to the electric power market for power transmission network planning, CBplanAnd (4) planning the cost benefit value of the power transmission network.
Claims (4)
1. A power transmission network planning cost benefit evaluation method in an electric power market environment is characterized by comprising the following steps:
1) determining a planning target year yplan；
2) Determining characteristics of the transmission network in the current year, including starting nodes, ending nodes and reactance values x of the transmission line and the transformation equipmentplan；
3) Establishing a power transmission network planning scheme for planning a target year and technical characteristic parameters of power transmission equipment in the planning scheme, wherein the technical characteristic parameters comprise: starting node, terminating node, impedance value x of power transmission equipmentplanInvestment cost Cplan；
4) Establishing thermal power generation in an electric power marketCharacteristic parameters of the generator sets, including the power generation cost and rated power of each generator set
Minimum generated power
Climbing rate RDth,i；
5) Determining the generating power P of each wind power and photovoltaic power station in each hour of the whole year of the planning target yearre,i,tWherein t is 1-8760 hours;
6) electric power LD for all-year-round hourly power system power load for determining planning target yeartWherein t is 1-8760 hours;
7) constructing an electric power market simulation model, wherein the electric power market simulation model is a linear programming model, an objective function in the model is to minimize the system power generation cost, and constraint conditions in the model comprise: the method comprises the following steps of (1) limiting the output upper limit and the output lower limit of a thermal power unit, limiting the output of a quoted section of the thermal power unit, limiting the total output of the thermal power unit, limiting the climbing of the thermal power unit, limiting the power balance and limiting the transmission safety;
8) substituting the generated power of the wind power and photovoltaic power stations in the planned target year, the characteristic parameters of the thermal power generating set in the planned target year, the power consumption of the power load of the power system in the planned target year and the network characteristics of the power transmission network in the current year into a power market simulation model to obtain basic scene power market simulation data; optimizing and calculating the annual power market simulation of the basic situation to obtain the system marginal electricity price lmp of each time periodt,baseAnd an amount of electric load power ld supplied per periodt,base；
9) Adding technical characteristic parameters of a power transmission network planning scheme for planning a target year into the basic scenario electric power market simulation data to obtain the planning scenario electric power market simulation data, performing optimization calculation of the planning scenario annual electric power market simulation, and obtaining the system marginal electricity price lmp of each time intervalt,planAnd an amount of electric load power ld supplied per periodt,plan；
10) And simulating according to the simulation data of the basic scenario electric power market and the simulation data of the planning scenario electric power market to obtain a result, and calculating a planning cost benefit value of the power transmission network.
2. The method for evaluating the cost effectiveness of power transmission network planning in the power market environment according to claim 1, wherein the objective function of the power market simulation model in the step 7) is as follows:
wherein C is the investment cost,
for the actual output power of the thermal power generating unit b in the quotation section U at the moment t,
and (4) the power generation cost of the generator set b in the quotation section U at the moment T, T is 8760 hours, and BU is the total number of the generators.
3. The method for evaluating the cost effectiveness of power transmission network planning under the power market environment according to claim 1, wherein the constraints of the power market simulation model in the step 7) are as follows:
(1) upper and lower limits of thermal power unit output
(2) Thermal power generating unit quotation section output limit
(3) Thermal power generating unit total output constraint
(4) Thermal power generating unit climbing restraint
pth,i,t-1-pth,i,t≤RDth,i (5)
pth,i,t-pth,i,t-1≤RDth,i (6)
(5) Power balance constraint
(6) Transmission safety constraints
Wherein the content of the first and second substances,
for the actual output power of the thermal power generating unit b in the quotation section U at the moment t,
is the minimum generating power of the thermal power generating unit at the moment t,
rated power p of thermal power generating unit at time tth,i,tIs the actual generating power p of the thermal power generating unit at the moment tth,i,t-1The actual generated power of the thermal power generating unit at the time t-1,
is the maximum output power, RD, of the generator set b at the quoted price section U at the moment tth,iIs the climbing rate, LD, of the thermal power generating unittTo, power system power at time tThe power consumption of the force load is increased,
is the lower limit of the current of the l section at the time t,
is the upper current limit, SF, of the section at time tl,i,tIs the tidal current sensitivity, p, of the i-node of the l-section at time ti,tIs the i-node total injected power, pj,tIs the j node total output power.
4. The method according to claim 1, wherein the calculating the grid planning cost-benefit value in step 10) comprises:
(1) calculating the total electricity purchasing cost of the power load in the basic scene power system;
(2) calculating the total electricity purchasing cost of the power load in the planning scene power system;
(3) calculating the economic benefit of the power transmission network planning on the power market;
Bplan＝LPplan-LPbase
(4) a power transmission network planning cost benefit value;
CBplan＝Cplan/Bplan
wherein, LPbaseIs the total electricity purchase cost, lmp, of the electrical loads in the underlying scenario electrical power systemt,baseMarginal price of electricity, ld, of the system for each period of the base scenariot,baseThe amount of electrical load power supplied per time period for the base scenario; LPplanTo plan the total cost of electricity purchased for a power load in a situational power system, lmpt,planTo plan the system marginal price of electricity, ld, for each period of the scenet,planThe amount of electrical load power supplied per time period for planning scenarios, CplanInvestment costs for planning the electric power market for transmission networks, BplanEconomic benefits to the electric power market for power transmission network planning, CBplanAnd (4) planning the cost benefit value of the power transmission network.
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| CN114387128A (en) * | 2022-01-12 | 2022-04-22 | 中广核风电有限公司 | Provincial energy storage scale demand planning method in power market environment |
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| 王一哲;汤涌;董朝阳;: "电力市场环境下输电网混合性规划模型", 电力系统自动化, no. 13 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114066519A (en) * | 2021-11-17 | 2022-02-18 | 华能桐乡燃机热电有限责任公司 | System and method for evaluating power generation benefits of stock gas turbine set in power market |
| CN114066519B (en) * | 2021-11-17 | 2024-02-02 | 华能桐乡燃机热电有限责任公司 | System and method for evaluating power generation benefits of stock gas units in power market |
| CN114387128A (en) * | 2022-01-12 | 2022-04-22 | 中广核风电有限公司 | Provincial energy storage scale demand planning method in power market environment |
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| CN113592673B (en) | 2024-03-22 |
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