CN111915179B - Power system power generation side collusion risk prevention and control method considering unit flexibility - Google Patents
Power system power generation side collusion risk prevention and control method considering unit flexibility Download PDFInfo
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Abstract
The invention discloses a power system generation side collusion risk prevention and control method considering unit flexibility. Selecting a plurality of generators with flexibility difference to form a collusion unit, and acquiring operation parameters and attribute parameters of the collusion unit; establishing a unit flexibility parameter adjustment model aiming at collusion of the maximum generating efficiency value of the unit, setting operation constraint and optimization conditions, and inputting the unit flexibility parameter adjustment model to solve the optimal adjustment value; establishing an objective function and constraint conditions of an optimal scheduling model of the power system, and inputting to obtain optimal scheduling output; and continuously iterating to obtain the optimal technical parameters of the collusion unit in the power system, which are obtained in the iteration time with the maximum power generation efficiency value, and judging and limiting the collusion risk of the power system on the power generation side. The invention can fully combine the multi-period operation flexibility of the generator set, evaluate the collusion risk of the power generation side of the power system and take relevant measures to effectively prevent and control.
Description
Technical Field
The invention belongs to a power generation operation control method in the technical field of power system control, and relates to a power generation side collusion risk prevention and control method of a power system in consideration of unit flexibility.
Background
There are multiple kinds of generating sets with different flexibilities in the power system, and the generating sets can meet the safe and stable operation of the power system under different load scenes through mutual coordination and cooperation. However, there is a possibility that various units collude during the operation of the power grid by utilizing the flexibility difference, which brings new risks to the operation of the power system. Therefore, how to inhibit the unit from affecting the optimal scheduling of the power system by jointly adjusting related technical parameters, thereby threatening the efficient and stable operation of the system is a real problem to be researched.
However, the existing power system generation side collusion risk prevention and control is mainly focused on suppressing collusion of a single type of unit, and does not consider the cooperative operation scene of multiple types of units; the difference of the generating efficiency of the unit is focused, and the influence of the operation flexibility on the optimal scheduling of the system is ignored; and the system operation condition of a single period is considered, and the influence of the operation parameter adjustment of the unit on the system operation is not considered in a load environment with frequent fluctuation of multiple periods. The conventional power system generation side collusion risk prevention and control method cannot meet the current situation that generator sets with different flexibility levels participate in system operation together, and a power system collusion risk prevention and control method considering the difference of the flexibility of the generator sets is needed.
Disclosure of Invention
In order to solve the problems in the background art, the invention aims to provide a power system power generation side collusion risk prevention and control method considering unit flexibility, which takes the output characteristics of different types of units and the climbing performance of the units into consideration, and measures and calculates the influence of unit operation parameter joint adjustment on power system optimization scheduling.
As shown in fig. 1, the specific technical scheme adopted by the invention comprises the following steps:
the first step: selecting a plurality of generators with flexibility difference to form a collusion unit, and acquiring and obtaining operation parameters and attribute parameters of the collusion unit, wherein the operation parameters and attribute parameters of the collusion unit specifically comprise the maximum value and the minimum value of the output level of the generator unit and the maximum value and the minimum value of the up-down climbing rate of the generator unit;
in specific implementation, the running parameters and the attribute parameters of the collusion unit are obtained through detection of a sensor or acquisition of the attribute sources of the collusion unit.
And a second step of: establishing a unit flexibility parameter adjustment model aiming at the maximum power generation efficiency value of the collusion unit, setting operation constraints such as an upper limit parameter adjustment threshold, a lower limit parameter adjustment threshold, a system parameter boundary and the like of the output level of the power generation unit, and equivalent optimization conditions of power system optimization scheduling, and enabling the operation parameters, attribute parameters and current time of the collusion unit to be the same as those of the collusion unitScheduling output of each collusion unit under iterationInputting the technical parameters into a unit flexibility parameter adjustment model, and solving to obtain optimal adjustment values of technical parameters of each collusion unit in a power system;
the technical parameters comprise flexibility parameters of collusion units such as upper and lower limits of output level, up-down climbing speed and the like. And in the second step, the dispatching output of each collusion unit is randomly initialized and set.
And a third step of: taking the power generation balance of the power system into consideration, establishing an objective function and constraint conditions of an optimal scheduling model of the power system according to the technical parameters of the generator sets, and then inputting the optimal technical parameters obtained in the second step into the optimal scheduling model of the power system to solve and obtain the optimal scheduling output of each collusion unit
Fourth step: and repeatedly performing the second step and the third step continuously to reach fixed iteration times, taking the optimal technical parameters of the collusion unit in the power system, which are obtained in the iteration times with the maximum power generation efficiency value, in all iteration processes, so that the collusion unit works according to the optimal technical parameters, and obtaining the power generation efficiency increment of the collusion unit, judging whether collusion risk exists on the power generation side of the power system according to the power generation efficiency increment, and limiting the adjustment range of the unit parameters to inhibit the collusion risk on the power generation side of the power system.
The machine sets of the invention are all generators.
The collusion of the invention refers to the joint optimized operation between a high-flexibility unit and a low-flexibility unit on the power generation side in the power system. High-flexibility units are, for example, gas units, hydroelectric units. Low flexibility units are for example coal-fired units, nuclear power units.
The first step specifically comprises the following steps:
aiming at various types of generator sets with different flexibility in a power system, a high-flexibility unit and a low-flexibility unit in the generator sets participating in collusion are selected to form the collusion unit:
in the method, in the process of the invention,for a highly flexible unit involved in collusion, < +.>For low-flexibility units involved in collusion, Ω Inflex And omega Flex Representing a high flexibility set of units and a low flexibility set of units in the power system, respectively. />Representing an empty set. The above indicates that collusion units are non-empty sets composed of high flexibility units and low flexibility units together.
Collusion units are composed of high-flexibility units and low-flexibility units which participate in collusion. High-flexibility units are, for example, gas units, hydroelectric units. Low flexibility units are for example coal-fired units, nuclear power units.
The power generation side of the power system is mainly composed of a plurality of nodes, the nodes are connected through lines, each node is provided with a collusion unit or load equipment or is not provided with any collusion unit or load equipment, and the node provided with the collusion unit is provided with one or both of a high-flexibility unit and a low-flexibility unit.
The load equipment is electric equipment for taking electric power to the electric power system, and comprises an asynchronous motor, a synchronous motor, various arc furnaces, electronic instruments, lighting facilities and the like
The second step specifically comprises the following steps:
objective function of unit flexibility parameter adjustment model:
constraint conditions of the unit flexibility parameter adjustment model are as follows:
wherein: omega shape t Representing the set of all time periods, Ω g Representing the set of all genset compositions in the power system,representing a set of all collusion units in an electric power system, Ω N Representing the set of nodes i, j in the power system,/->Representing the set of all gensets g under node i, < ->Represents the set of lines l connecting node i and node j, < >>Indicating collusion generating efficiency of collusion unit g under period t, +.>Indicating the scheduled output of generator set g at time period t,/->Representing the dispatch output of generator set g in period t-1, a g A quadratic term coefficient, b, representing the power generation efficiency characteristics of the generator set g g Representing an electric generatorThe first order coefficient of the power generation efficiency characteristic of group g, c g A constant term indicating the power generation efficiency characteristic of the generator set g. P is p i,t Efficiency factor representing node i, +.>Representing the transmission allocation factor of the power system with respect to node i and line l, lambda i,t Lagrangian multiplier, a ++representing the balance of the power generation of the power system>Represents the lagrangian multiplier of the line flow between node i and node j over period t. Delta P,MAX Adjustment threshold, delta, representing the upper limit of the output level of a collusion unit preset in an electric power system P,MIN An adjustment threshold representing a preset collusion unit output level lower limit of the electric power system, +.>Representing the upper limit of the actual output level of the generator set g,/->Representing the lower limit of the actual output level of the generator set g,/->Indicating an upper limit on the available output level of the generator set g,representing the lower limit, delta, of the available output level of the generator set g RU Adjustment threshold value delta representing uphill speed of collusion unit preset in electric power system RD Adjustment threshold value representing the downhill climbing rate of a collusion unit preset in an electric power system, +.>Representing the actual climbing rate of the generator set g,/->Representing the actual downhill climbing rate of the generator set g +.>Indicating the available ramp rate of generator set g, +.>Represents the available downhill ramp rate, D, of the generator set g i,t Representing the load of node i in period t, B i,j Admittance value, θ, representing the line between node i and node j i,t Representing the power phase angle value, θ, of node i at time period t j,t Representing the power phase angle value of node j at time period t, < >>Representing the transmission capacity of the line between node i and node j +.>Lagrangian multiplier representing the lower limit of the power output level of the generator set g during period t,/>The lagrangian multiplier representing the upper limit of the power level of the generator set g at time period t. />Lagrangian multiplier representing the lower power phase angle limit of node i, +.>Lagrangian multiplier representing the upper power phase angle limit of node i, +.>A lagrangian multiplier representing the upper power limit of the generator set g during period t,indicating that the generator set g is inLagrangian multiplier with lower output limit in period t +.>Lagrangian multiplier representing the upper output limit of generator set g during period t+1,/>A lagrangian multiplier representing the lower limit of the generator set g's output at time period t +1,lagrangian multiplier representing the lower output limit of generator set g during initial period t=1, +.>The lagrangian multiplier representing the lower output limit of the generator set g for the initial period t=1.
In the above formula, the formulas (7) - (8) represent the bias conditions of the power system optimization scheduling model, and the formulas (9) - (15) represent the complementary conditions of the power system optimization scheduling model.
The third step is specifically as follows:
the power system optimization scheduling model aims at the minimum total scheduling cost of the power system, and considers the power generation balance constraint, the line flow constraint, the node phase angle constraint, the upper and lower limit constraint of the unit output level and the climbing constraint of the system, and specifically comprises the following steps:
-π/2≤θ i,t ≤π/2 (19)
in omega t Representing the set of all time periods t, Ω g Representing the set of all gensets in a power system, Ω N Representing a set of nodes i, j in the power system,representing the aggregate of all gensets g, a under node i g A quadratic term coefficient, b, representing the power generation efficiency characteristics of the generator set g g A first order coefficient c representing the power generation efficiency characteristic of the generator set g g A constant term indicating the power generation efficiency characteristic of the generator set g. />Indicating the scheduled output of generator set g at time period t,/->Representing the dispatch output of the generator set g in the period t-1, D i,t Representing the load of node i in period t, B i,j Admittance value, θ, representing the line between node i and node j i,t And theta j,t Representing the power phase angle values of node i and node j respectively at period t,representing the transmission capacity of the line between node i and node j; />Indicating an upper limit on the available output level of the generator set g,representing the lower limit of the available output level of the generator set g,/->Indicating the available ramp rate of generator set g, +.>Indicating the available downhill ramp rate of the genset g.
In the above formula, the formula (17) represents the power generation balance constraint of the power system, the formula (18) represents the line flow constraint among nodes, the formula (19) represents the node power phase angle upper and lower limit constraint, the formula (20) represents the unit output level upper and lower limit constraint, the output is the power, and the formula (21) represents the unit climbing speed upper and lower limit constraint.
Fourth step: and repeatedly performing the second step and the third step continuously to reach fixed iteration times, taking the optimal technical parameters of the collusion unit in the power system, which are obtained in the iteration times with the maximum power generation efficiency value, in all iteration processes, so that the collusion unit works according to the optimal technical parameters, the power generation efficiency change of the collusion unit is obtained, judging whether the collusion risk exists at the power generation side of the power system according to the increment of the power generation efficiency, and processing the parameter boundary of the power system to inhibit the collusion risk at the power generation side of the power system.
The fifth step is specifically as follows:
when the collusion unit works according to the optimal technical parameters, the increment of the power generation efficiency of the collusion unit is obtained according to the following mode:
wherein: JRC represents the increase in power generation efficiency of all collusion units,and->Respectively representing collusion generating efficiency value and reference generating efficiency value of collusion unit g under period t; omega shape t Represents the set of all time periods t, +.>Representing a set of collusion units;
if the increment of the power generation efficiency of the collusion unit is smaller than a preset threshold value of the power system, the collusion risk of the power system power generation side unit is considered to be smaller;
if the increment of the generating efficiency of the collusion unit is larger than a preset threshold value of the electric power system, the collusion risk of the generating side unit of the electric power system is considered to be larger, and technical measures such as the fact that the parameter information of the generating side unit of the electric power system is transmitted in real time when the sensing equipment is installed on the generating unit to avoid the excessive adjusting value of the unit parameter are adopted to reduce the collusion risk of the generating side unit of the electric power system;
the reference power generation efficiency value is a power generation efficiency value when the collusion unit works according to actual technical parameters. Specifically, the upper limit of the output level of the collusion unit preset by the electric power system is adjusted to a threshold delta P,MAX Lower limit adjustment threshold delta for output level P,MIN Adjustment threshold delta for uphill speed RD Adjustment threshold delta for downhill climbing rate RU Set to 0, and then repeat the processing of step 2 and step 3.
The invention has the following beneficial effects:
the invention can fully combine the multi-period operation flexibility of the generator set, evaluate the collusion risk of the power generation side of the power system and take relevant measures to effectively prevent and control. The proposed power system collusion evaluation model combines the operation flexibility of different types of units, takes richer unit collusion forms into consideration, and has more accurate power generation efficiency evaluation and more effective power generation risk prevention and control.
The invention combines the preset parameter adjustment threshold value of the power system to develop multi-period unit collusion power generation efficiency evaluation, and can be used for feedback checking the validity of the preset parameter adjustment threshold value of the power system and taking risk precaution measures.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a block diagram of an IEEE 39 node system for testing the method of the present invention;
FIG. 3 is a graph of load of an IEEE 39 node system over the course of a day;
FIG. 4 is a graph of the comparative deviation of the output of a coal-fired unit operating at actual (baseline) and optimal (collusion) specifications;
FIG. 5 is a graph of the output versus bias for a gas turbine operating at actual (baseline) and optimal (collusion) specifications;
FIG. 6 is an incremental graph of the power generation efficiency of the current day unit.
Detailed Description
The invention is further described below with reference to the drawings and examples.
As shown in fig. 1, a complete example of an implementation of the complete method according to the present disclosure is as follows:
taking an IEEE 39 node system with 12 generator sets as an example, the structure diagram of the system is shown in fig. 2, the generator types, efficiency characteristic parameters, node positions and the like in the system are shown in table 1, the operation parameters of the generator sets are shown in table 2, and the system loads are shown in fig. 3.
Table 1: generating set efficiency characteristic parameter and node position
Table 2: operating technical parameters of generator set
The method comprises the following specific steps:
step 1: aiming at various types of generator sets with different flexibility in a power system, a high-flexibility unit and a low-flexibility unit in the generator sets participating in collusion are selected to form the collusion unit:
in the method, in the process of the invention,for a highly flexible unit involved in collusion, < +.>For low flexibility units participating in collusion. Omega shape Inflex And omega Flex Representing a high flexibility set of units and a low flexibility set of units in the power system, respectively. />Representing an empty set. The above indicates that collusion units are non-empty sets composed of high flexibility units and low flexibility units together.
In the embodiment, the SCGT-1 of the gas unit with higher operation flexibility and the CG-1 of the coal-fired unit with lower operation flexibility are taken as examples, and collusion generating efficiency increment of the two units is calculated.
Step 2: the method comprises the steps of establishing a unit flexibility parameter adjustment model aiming at collusion of maximum unit power generation efficiency values, wherein an objective function is as follows:
constraint conditions of the unit flexibility parameter adjustment model are as follows:
step 3: an optimized dispatching model of the power system is established, the minimum dispatching cost of the power system is taken as a target, and the balance constraint, the line flow constraint, the node phase angle constraint, the upper and lower limit constraint and the climbing constraint of the unit output are considered, wherein the method comprises the following steps of:
-π/2≤θ i,t ≤π/2
step 4: repeatedly performing the step 2 and the step 3 continuously to reach fixed iteration times, and obtaining optimal technical parameters of the collusion unit in the power system, wherein the optimal technical parameters are obtained from the iteration times with the maximum power generation efficiency value in all the iteration processes;
the adjustment threshold value for the upper and lower limit parameters of the machine set output is assumed to be 10%, and the adjustment threshold value for the up-down climbing rate parameters of the machine set is assumed to be 20%. The comparison of the output of the coal-fired unit under the actual technical parameters (reference conditions) and the optimal technical parameters (collusion conditions) and the deviation of the output of the coal-fired unit under the actual technical parameters (reference conditions) and the optimal technical parameters (collusion conditions) are obtained through solving, and the comparison of the output of the coal-fired unit under the actual technical parameters (reference conditions) and the optimal technical parameters (collusion conditions) and the deviation of the output of the coal-fired unit under the optimal technical parameters (collusion conditions) are shown in a graph of fig. 4. It can be seen that the output of both the gas unit and the coal unit is reduced during peak periods. The values of the optimal operation technical parameters of each type of unit are shown in table 3.
Table 3: optimum operating parameter values for gas units and coal-fired units
Step 5: when the collusion unit works according to the optimal technical parameters, the increment of the power generation efficiency of the collusion unit is obtained according to the following mode:
judging whether collusion risk exists on the power generation side of the power system according to the increment of the power generation efficiency: if the increment of the power generation efficiency of the collusion unit is smaller than a preset threshold value of the power system, the collusion risk of the power system power generation side unit is considered to be smaller; if the increment of the power generation efficiency of the collusion unit is larger than a preset threshold value of the power system, the collusion risk of the power system power generation side unit is considered to be larger;
and technical measures such as installing sensing equipment on the generator set and transmitting parameter information of the generator set during working in real time to limit the parameter adjustment range of the generator set are adopted to reduce the collusion risk of the generator set at the power system.
The power generation efficiency increment for solving the collusion gas unit and the coal-fired unit is shown in fig. 6.
It can be seen that the coal-fired unit will reduce the maximum available force in the system and climb up and down the slope, and the gas-fired unit will increase the minimum available force in the system. The increment of the power generation efficiency in the load valley period is less obvious, but the increment of the power generation efficiency in the load peak period (such as 16:00) reaches more than 70%, which indicates that the risk of collusion of the generating side units of the power system is larger. Technical measures such as limiting the parameter adjustment range of the unit and the like are considered to reduce the collusion risk of the unit at the generating side of the power system by installing sensing equipment on the generating unit and transmitting the parameter information during the operation of the unit in real time.
Therefore, the method provided by the invention can simulate the operation mode of the generator set according to the output characteristics of different types of generator sets, and the power generation efficiency of the collusion unit is estimated by considering the operation flexibility of the generator set with multiple time periods, including the output upper and lower limit boundaries, the climbing speed performance and the like, and the method can be used for feedback checking the effectiveness of the preset parameter adjustment threshold value of the power system based on the estimation result, so that guidance is provided for the high-efficiency stable operation of the system. In addition, the sensor equipment is arranged on the generator set to transmit the parameter information of the generator set during working in real time so as to limit the technical measures such as the parameter adjustment range of the generator set, and the like, so that the risk of collusion on the power generation side of the power system can be reduced.
Claims (6)
1. The utility model provides a power system power generation side collusion risk prevention and control method considering unit flexibility, which is characterized in that:
the first step: selecting a plurality of generators with flexibility difference to form a collusion unit, and acquiring and obtaining operation parameters and attribute parameters of the collusion unit, wherein the operation parameters and attribute parameters of the collusion unit specifically comprise the maximum value and the minimum value of the output level of the generator unit and the maximum value and the minimum value of the up-down climbing rate of the generator unit;
and a second step of: establishing a unit flexibility parameter adjustment model aiming at the maximum power generation efficiency value of the collusion unit, setting operation constraints such as an upper limit parameter adjustment threshold, a lower limit parameter adjustment threshold, a system parameter boundary and the like of the power generation unit output level and equivalent optimization conditions of power system optimization scheduling, and enabling the operation parameters and attribute parameters of the collusion unit and the scheduling output of each collusion unit under the current iteration to be equalInputting the technical parameters into a unit flexibility parameter adjustment model, and solving to obtain optimal adjustment values of technical parameters of each collusion unit in a power system;
and a third step of: taking the power system power generation balance into consideration, establishing an objective function and constraint of a power system optimization scheduling model according to the technical parameters of the generator setThe beam condition is then input to the optimal technical parameter obtained in the second step to the optimal dispatching model of the electric power system to obtain the optimal dispatching output of each collusion unit
Fourth step: and repeatedly performing the second step and the third step continuously to reach fixed iteration times, taking the optimal technical parameters of the collusion unit in the power system, which are obtained in the iteration times with the maximum power generation efficiency value, in all iteration processes, so that the collusion unit works according to the optimal technical parameters, and obtaining the power generation efficiency increment of the collusion unit, judging whether collusion risk exists on the power generation side of the power system according to the power generation efficiency increment, and limiting the adjustment range of the unit parameters to inhibit the collusion risk on the power generation side of the power system.
2. The method for preventing and controlling collusion risk on power generation side of power system taking flexibility of unit into consideration as claimed in claim 1, wherein the method comprises the following steps: the first step specifically comprises the following steps:
aiming at various types of generator sets with different flexibility in a power system, a high-flexibility unit and a low-flexibility unit in the generator sets participating in collusion are selected to form the collusion unit:
in the method, in the process of the invention,for a highly flexible unit involved in collusion, < +.>For low-flexibility units involved in collusion, Ω Inflex And omega Flex Representing a high flexibility unit set and a low flexibility unit set, respectively, in an electrical power system>Representing an empty set, the above expression represents collusion units as non-empty sets composed of high flexibility units and low flexibility units together.
3. The method for preventing and controlling collusion risk on power generation side of power system taking flexibility of unit into consideration as claimed in claim 1, wherein the method comprises the following steps: the power generation side of the power system is mainly composed of a plurality of nodes, the nodes are connected through lines, each node is provided with a collusion unit or load equipment or is not provided with any collusion unit or load equipment, and the node provided with the collusion unit is provided with one or both of a high-flexibility unit and a low-flexibility unit.
4. The method for preventing and controlling collusion risk on power generation side of power system taking flexibility of unit into consideration as claimed in claim 1, wherein the method comprises the following steps: the second step specifically comprises the following steps:
objective function of unit flexibility parameter adjustment model:
constraint conditions of the unit flexibility parameter adjustment model are as follows:
wherein: omega shape t Representing the set of all time periods, Ω g Representing the set of all genset compositions in the power system,representing a set of all collusion units in an electric power system, Ω N Representing the set of nodes i, j in the power system,/->Representing the set of all gensets g under node i, < ->Represents the set of lines l connecting node i and node j, < >>Indicating collusion generating efficiency of collusion unit g under period t, +.>Indicating the scheduled output of generator set g at time period t,/->Representing the dispatch output of generator set g in period t-1, a g A quadratic term coefficient, b, representing the power generation efficiency characteristics of the generator set g g A first order coefficient c representing the power generation efficiency characteristic of the generator set g g Constant term, p, representing power generation efficiency characteristic of generator set g i,t Efficiency factor representing node i, +.>Representing the transmission allocation factor of the power system with respect to node i and line l, lambda i,t Lagrangian multiplier, μ representing power generation balance of power system fi,j,t Lagrangian multiplier, delta, representing line flow between node i and node j over period t P,MAX Adjustment threshold, delta, representing the upper limit of the output level of a collusion unit preset in an electric power system P,MIN An adjustment threshold representing a preset collusion unit output level lower limit of the electric power system, +.>Representing the upper limit of the actual output level of the generator set g,representing the lower limit of the actual output level of the generator set g,/->Indicating the upper limit of the available output level of the generator set g,/->Representing the lower limit, delta, of the available output level of the generator set g RU Adjustment threshold value delta representing uphill speed of collusion unit preset in electric power system RD Adjustment threshold value representing the downhill climbing rate of a collusion unit preset in an electric power system, +.>Representing the actual climbing rate of the generator set g,/->Representing the actual downhill climbing rate of the generator set g +.>Indicating the available ramp rate of generator set g, +.>Represents the available downhill ramp rate, D, of the generator set g i,t Representing the load of node i in period t, B i,j Admittance value, θ, representing the line between node i and node j i,t Representing the power phase angle value, θ, of node i at time period t j,t Representing the power phase angle value of node j at time period t, < >>Representing the transmission capacity of the line between node i and node j +.>Lagrangian multiplier representing the lower limit of the power output level of the generator set g during period t,/>Lagrangian multiplier representing the upper limit of the power take-off level of the generator set g during period t,/>Lagrangian multiplier representing the lower power phase angle limit of node i, +.>Lagrangian multiplier representing the upper power phase angle limit of node i, +.>Lagrangian multiplier indicating the upper power output of generator set g during period t->Lagrangian multiplier indicating the lower power output of generator set g during period t->Lagrangian multiplier representing the upper output limit of generator set g during period t+1,/>Lagrangian representing lower output limit of generator set g in period t+1Fructus Foeniculi, herba Sidae Rhombifoliae>Lagrangian multiplier representing the lower output limit of generator set g during initial period t=1, +.>The lagrangian multiplier representing the lower output limit of the generator set g for the initial period t=1.
5. The method for preventing and controlling collusion risk on power generation side of power system taking flexibility of unit into consideration as claimed in claim 1, wherein the method comprises the following steps: the third step is specifically as follows:
the power system optimization scheduling model aims at the minimum total scheduling cost of the power system, and considers the power generation balance constraint, the line flow constraint, the node phase angle constraint, the upper and lower limit constraint of the unit output level and the climbing constraint of the system, and specifically comprises the following steps:
-π/2≤θ i,t ≤p/2 (19)
in omega t Representing the set of all time periods t, Ω g Representing the set of all gensets in a power system, Ω N Representing a set of nodes i, j in the power system,representing the aggregate of all gensets g, a under node i g A quadratic term coefficient, b, representing the power generation efficiency characteristics of the generator set g g A first order coefficient c representing the power generation efficiency characteristic of the generator set g g Constant term representing the power generation efficiency characteristic of the generator set g,/->Indicating the scheduled output of generator set g at time period t,/->Representing the dispatch output of the generator set g in the period t-1, D i,t Representing the load of node i in period t, B i,j Admittance value, θ, representing the line between node i and node j i,t And theta j,t Representing the power phase angle values of node i and node j, respectively, at time period t,/>Representing the transmission capacity of the line between node i and node j; />Indicating the upper limit of the available output level of the generator set g,/->Representing the lower limit of the available output level of the generator set g,/->Indicating the available ramp rate of generator set g, +.>Indicating the available downhill ramp rate of the genset g.
6. The method for preventing and controlling collusion risk on power generation side of power system taking flexibility of unit into consideration as claimed in claim 1, wherein the method comprises the following steps: the fourth step is specifically as follows:
when the collusion unit works according to the optimal technical parameters, the increment of the power generation efficiency of the collusion unit is obtained according to the following mode:
wherein: JRC represents the increase in power generation efficiency of all collusion units,and->Respectively representing collusion generating efficiency value and reference generating efficiency value of collusion unit g under period t; omega shape t Represents the set of all time periods t, +.>Representing a set of collusion units;
if the increment of the power generation efficiency of the collusion unit is smaller than a preset threshold value of the power system, the collusion risk of the power system power generation side unit is considered to be smaller;
if the increment of the generating efficiency of the collusion unit is larger than a preset threshold value of the electric power system, the collusion risk of the generating side unit of the electric power system is considered to be larger, and technical measures of preventing the parameter adjustment value of the unit from being too large are adopted to reduce the collusion risk of the generating side unit of the electric power system by installing sensing equipment on the generating unit and transmitting the parameter information of the unit in real time during operation.
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