CN111130149A - Power grid power generation active control method and system considering performance distribution characteristics - Google Patents
Power grid power generation active control method and system considering performance distribution characteristics Download PDFInfo
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Abstract
The invention discloses a power generation active control method and system of a power grid considering performance distribution characteristics, wherein the method comprises the following steps: acquiring a power grid operation state, a station comprehensive performance index, a station active control space, a monitoring device/channel active limit and an active standby limit; taking the weighted sum of the mean value and the mean square error of the ratio of the station active power and the comprehensive performance index participating in the power generation active power control optimization decision as an optimization target by introducing a penalty factor, calculating the active power control space of the station, the active power balance of a power grid, the active power limit and the active reserve limit constraint of the monitoring equipment/channel according to the station, the load and the active power sensitivity of the external tie line active power to the monitoring equipment/channel, and acquiring the active control instruction value of the station to realize the active power control of the station; the invention comprehensively considers the distribution characteristics of the comprehensive performance indexes of the stations, considers the different requirements of the power grid enterprises and the power generation enterprises on active control, and is more suitable for the actual active control of power generation of the multi-energy power system.
Description
Technical Field
The invention relates to a power grid power generation active control method and system considering performance distribution characteristics, and belongs to the technical field of automatic power generation control of power systems.
Background
The electric energy has the advantages of cleanness, safety, convenience and the like, and the improvement of the proportion of the electric energy in terminal energy consumption becomes an important way for improving the utilization efficiency of the energy in the whole society. The economic environmental protection performance and the control characteristic of different types of power station stations are greatly different, and even if the same type of power station is used, the construction cost per kW, the power generation cost per kWh and the operation management level are also greatly different. In addition, due to the difference of the grid-connected points of the power generation stations, the influence characteristics of the power generation stations on the safety and stability of the power grid are different, even if the grid-connected points are the same, the influence characteristics of the different power generation stations on the safety and stability of the power grid are different, and the influence characteristics are related to the running state of the power grid. With the advance of the electric power market and the expansion of the spot transaction amount, the electric power spot transaction gradually becomes a practical condition which cannot be ignored in the power generation active power optimization control of the power grid.
The patent 'power grid real-time power generation control optimization decision method with weight and constraint association adjustment' (application number: 201811286328.9) comprehensively considers economic and environmental protection performance, prediction performance, regulation performance and spot transaction execution progress of a power generation station, and the characteristics of influence of power plant output on the safety and stability of a power grid, and the like, provides comprehensive performance indexes of the power generation station by setting weights, establishes a linear programming model with the maximum sum of power of the power generation station weighted by the performance indexes as a target, adjusts the output weights of related power generation station under the condition that monitoring equipment/channel power is not limited, realizes the association of the weights and the constraints, and ensures that the active control of the power generation station of the power grid meets the requirements of real-time performance, safety, economic and constraint. The maximum of the station active sum taking the comprehensive performance index as the weight is the optimization target, the power generation stations actually generate power according to the sequence of the comprehensive performance indexes from large to small by taking the comprehensive performance index as the priority under the condition that the active sensitivity of the power generation stations to the monitoring equipment/channel is the same, and the optimization model is suitable for a completely marketized power grid operation environment and is also a power generation station active control mode which is more acceptable by power grid enterprises. Under the power grid operation environment with insufficient market, few trade varieties and incomplete market mechanism, power generation enterprises have diversified appeals, different power generation enterprises have great difference, and the power generation enterprises are more willing to accept an active control mode that power generation stations with good comprehensive performance indexes generate more power, power generation stations with poor comprehensive performance indexes generate less power and the ratio of active output of each power generation station to the comprehensive performance indexes is equal under the condition that the active sensitivity of the power generation stations to monitoring equipment/channels is the same. How to coordinate different requirements of a power grid enterprise and a power generation enterprise in an active control optimization decision of a power generation station is a practical problem to be solved urgently.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a power grid power generation active control method and system considering performance distribution characteristics so as to solve the problem that different requirements of a power grid enterprise and a power generation enterprise are difficult to coordinate in the prior art.
In order to achieve the purpose, the invention is realized by the following technical method:
a method for actively controlling power generation of a power grid in consideration of performance distribution characteristics, the method comprising:
obtaining the current time t0The method comprises the following steps that the comprehensive performance indexes of stations in a power grid running state, a power generation station set G and a power generation station set G participating in power generation active control optimization decision, and active control space of the stations in the corresponding moment G, monitoring equipment overload limit, monitoring channel forward safety and stability limit, monitoring channel reverse safety and stability limit, power grid active positive and standby limit, power grid active negative and standby limit and active planned values of the power generation stations not participating in the power generation active control optimization decision are obtained;
based on t0Acquiring the active sensitivity of all power generation stations, loads and external connecting line active power to monitoring equipment/channels in the power grid according to a tidal current equation at the moment of the running state of the power grid;
taking the weighted sum of the mean value and the mean square error of the ratio of the active power of the G station to the comprehensive performance index as an optimization target by introducing a penalty factor, taking the active power control space of the G station, the active power balance of the power grid, the overload limit of the monitoring equipment, the safety and stability limit of the monitoring channel and the active reserve limit constraint of the G station into account according to all power generation stations, loads and the active sensitivity of the active power of an external tie line to the monitoring equipment/channel in the power grid, and establishing an optimization model of the active power control instruction value of the G station;
obtaining an active control instruction value of the G middle station by solving the optimization model;
and generating an active control instruction of each station according to the active control instruction value of the station in the G and the active planned value of the power generation station which does not participate in the power generation active control optimization decision, and implementing active control on the corresponding station.
Furthermore, the comprehensive performance index of the G middle station is as follows,
in the formula, αiIs a comprehensive performance index of G Medium station i, αs.i、αe.i、αp.iAnd αc.iAre each t0The safety and stability performance index, the economic and environmental performance index, the ultra-short-term power generation capacity prediction performance index and the active power regulation performance index of the time station i; wi、Wi.0、ts.iAnd te.iRespectively the spot transaction plan electric quantity of the station i, the finished spot transaction electric quantity, the spot transaction plan starting time and the spot transaction plan ending time; k is a radical ofs、ke、kp、kcAnd ktAnd the weighting coefficients respectively correspond to a safety and stability performance index, an economic and environmental protection performance index, an ultra-short-term power generation capacity prediction performance index, an active power regulation performance index and a spot transaction progress.
Further, the active control space of the station at the time G corresponding to the end of the active control instruction execution cycle refers to an active output range and an active adjustment speed of the station at the time corresponding to the end of the active control instruction execution cycle, and the station active power can be adjusted from t to t from the time when the active control instruction is received to the time corresponding to the end of the active control instruction execution cycle0The upper active limit and the lower active limit to which the active is regulated at any moment.
Further, the overload limit of the monitoring equipment is according to t0Current limit at the moment of overload of the monitoring device is according to t0And monitoring the equipment load current power factor invariable to obtain the equipment overload active limit.
Further, the optimization model is specifically a model of a model,
wherein n is the number of the G stations, Pi.1Is the active control command value of the power station i in G, αiIs the comprehensive performance index of a power generation station i in G, lambda is a punishment factor which gives consideration to the comprehensive performance index and the operation management fairness of the power generation station, and Pi.1.u、Pi.1.dAre respectively in GThe upper limit and the lower limit of an active control space of a power station i, and Gs is t0The power generation station set which does not participate in the power generation active control optimization decision at the moment records the corresponding moment when the active control instruction execution cycle ends as t1，Pj.1Is t1The active planned value of the power station j at the moment Gs and TL is t0External connection line set of time power grid, Pk.1Is t1Injecting an active planned value of the power grid into the external connecting line k at the moment TL, wherein the injection is positive, the outflow is negative, and L is t0Time of day grid load set, Pl.1Is t1The active prediction value of the load L at the moment L, gamma is t0Grid loss rate, f, calculated from the total load of the grid at any moment0And KfAre each t0The power grid frequency and the active-frequency static characteristic coefficient at the moment; f. ofrRated frequency for the power grid; epsilonfThe allowable deviation value of the power grid frequency is set according to the power grid dispatching operation regulation, β is a parameter set for preventing the power grid frequency from being excessively deviated after active control, and D is t1Time of day monitoring device/channel set, Pd.0Is t0Active, P, of device/channel D at time Di.0、Sd.iAre each t0Active power of station i at time G and its active sensitivity to device/channel D at time D, Pj.0、Sd.jAre each t0The active power of station j at time Gs and its active sensitivity to device/channel D at D, Pk.0、Sd.kAre each t0Active power injected into the grid to the external tie-line k at time TL and its active sensitivity, P, to the device/channel D in Dl.0、Sd.lAre each t0The active power of the load L and its active sensitivity to the device/channel D in D at the time L, when the device/channel D in D is a device, Pd.lmt.FAnd Pd.lmt.OTake the same value as t0The overload limit of the device D at the moment, P when the device/channel D in D is a channeld.lmt.F、Pd.lmt.OAre each t1Forward and reverse safety and stability limits, P, of time channel di.1.max、Pi.1.minAre each t1Active maximum and minimum, P, of station i at time Gj.1.max、Pj.1.minAre each t1The maximum and minimum active values, P, of the station j at a time Gsl.oIs t1Interruptible load capacity, P, of load L at time Lr.u、Pr.dRespectively t set according to the dispatching operation rule of the power grid1The active positive reserve limit and the active negative reserve limit are always on.
A grid power generation active control system that accounts for performance profiles, the system comprising:
an information acquisition module: for obtaining the current time t0The method comprises the following steps that the comprehensive performance indexes of stations in a power grid running state, a power generation station set G and a power generation station set G participating in power generation active control optimization decision, and active control space of the stations in the corresponding moment G, monitoring equipment overload limit, monitoring channel forward safety and stability limit, monitoring channel reverse safety and stability limit, power grid active positive and standby limit, power grid active negative and standby limit and active planned values of the power generation stations not participating in the power generation active control optimization decision are obtained;
a sensitivity calculation module: for based on t0Calculating the active sensitivity of all power generation stations, loads and external connecting line active power to monitoring equipment/channels in the power grid according to a power flow equation at the moment of the power grid operation state;
an optimization model establishing module: the method comprises the steps that weighted sum of the mean value and the mean square error of the ratio of the active power of the G middle station to the comprehensive performance index is used as an optimization target through introducing a punishment factor, the active control space of the G middle station, the active power balance of the power grid, the overload limit of monitoring equipment, the safety and stability limit of the monitoring channel and the active reserve limit constraint are calculated according to all power generation stations, loads and the active sensitivity of the active power of an external tie line to the monitoring equipment/channel in the power grid, and an optimization model of the active control instruction value of the G middle station is established;
an active control instruction value acquisition module: the method comprises the steps of obtaining an active control instruction value of a field station in G by solving an optimization model;
an active control module: and the active control instruction generator is used for generating the active control instruction of each station according to the active control instruction value of the station in the G and the active plan value of the power generation station which does not participate in the power generation active control optimization decision, and implementing active control on the corresponding station.
Further, the active control space of the station at the time G corresponding to the end of the active control instruction execution cycle refers to an active output range and an active adjustment speed of the station at the time corresponding to the end of the active control instruction execution cycle, and the station active power can be adjusted from t to t from the time when the active control instruction is received to the time corresponding to the end of the active control instruction execution cycle0The upper active limit and the lower active limit to which the active is regulated at any moment.
Further, the overload limit of the monitoring equipment is according to t0Current limit at the moment of overload of the monitoring device is according to t0And monitoring the equipment load current power factor invariable to obtain the equipment overload active limit.
Further, the optimization model is specifically a model of a model,
wherein n is the number of the G stations, Pi.1Is the active control command value of the power station i in G, αiIs the comprehensive performance index of a power generation station i in G, lambda is a punishment factor which gives consideration to the comprehensive performance index and the operation management fairness of the power generation station, and Pi.1.u、Pi.1.dRespectively an upper limit and a lower limit of an active control space of a power generation station i in G, and Gs is t0The power generation station set which does not participate in the power generation active control optimization decision at the moment records the corresponding moment when the active control instruction execution cycle ends as t1，Pj.1Is t1The active planned value of the power station j at the moment Gs and TL is t0External connection line set of time power grid, Pk.1Is t1Injecting an active planned value of the power grid into the external connecting line k at the moment TL, wherein the injection is positive, the outflow is negative, and L is t0Time of day grid load set, Pl.1Is t1The active prediction value of the load L at the moment L, gamma is t0Grid loss rate, f, calculated from the total load of the grid at any moment0And KfAre each t0Time of day grid frequency and active-frequencyA static characteristic coefficient; f. ofrRated frequency for the power grid; epsilonfThe allowable deviation value of the power grid frequency is set according to the power grid dispatching operation regulation, β is a parameter set for preventing the power grid frequency from being excessively deviated after active control, and D is t1Time of day monitoring device/channel set, Pd.0Is t0Active, P, of device/channel D at time Di.0、Sd.iAre each t0Active power of station i at time G and its active sensitivity to device/channel D at time D, Pj.0、Sd.jAre each t0The active power of station j at time Gs and its active sensitivity to device/channel D at D, Pk.0、Sd.kAre each t0Active power injected into the grid to the external tie-line k at time TL and its active sensitivity, P, to the device/channel D in Dl.0、Sd.lAre each t0The active power of the load L and its active sensitivity to the device/channel D in D at the time L, when the device/channel D in D is a device, Pd.lmt.FAnd Pd.lmt.OTake the same value as t0The overload limit of the device D at the moment, P when the device/channel D in D is a channeld.lmt.F、Pd.lmt.OAre each t1Forward and reverse safety and stability limits, P, of time channel di.1.max、Pi.1.minAre each t1Active maximum and minimum, P, of station i at time Gj.1.max、Pj.1.minAre each t1The maximum and minimum active values, P, of the station j at a time Gsl.oIs t1Interruptible load capacity, P, of load L at time Lr.u、Pr.dRespectively t set according to the dispatching operation rule of the power grid1The active positive reserve limit and the active negative reserve limit are always on.
Compared with the prior art, the invention has the following beneficial effects:
in the prior art, the maximum of the station active power sum taking the comprehensive performance index of the power generation station as the weight is the optimization target, and the active control requirement that the ratio of the active power output to the comprehensive performance index which is preferred to be accepted by a power generation enterprise is equal is not considered. The invention considers the influence of the size of the station comprehensive performance index on the active power of the station in the active power control optimization decision objective function of the power generation station, also considers the influence of the equal ratio of the active power to the comprehensive performance index on the active power of the station, reflects the consideration degree of the equal ratio of the comprehensive performance index and the active power to the comprehensive performance index in the active power control optimization decision of the power generation station of the power grid by adjusting the size of the punishment factor, coordinates the different requirements of the power grid enterprise and the power generation enterprise, and is more suitable for the actual active power control of the power generation station in the power grid.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a method for controlling active power generated by a power grid in consideration of performance distribution characteristics includes the following steps:
step 1: obtaining the current time t0The method comprises the following steps that the comprehensive performance indexes of stations in a power grid running state, a power generation station set G and a power generation station set G participating in power generation active control optimization decision, and active control space of the stations in the corresponding moment G, monitoring equipment overload limit, monitoring channel forward safety and stability limit, monitoring channel reverse safety and stability limit, power grid active positive and standby limit, power grid active negative and standby limit and active planned values of the power generation stations not participating in the power generation active control optimization decision are obtained;
wherein, the comprehensive performance index of the G station refers to the index of comprehensively considering the influence characteristics of the output of the power station on the safety and stability of the power grid, the economic and environmental protection performance, the prediction performance, the regulation performance and the spot transaction execution progress of the power station, in particular,
in the formula, αiIs a comprehensive performance index of G Medium station i, αs.i、αe.i、αp.iAnd αc.iAre each t0The safety and stability performance index, the economic and environmental performance index, the ultra-short-term power generation capacity prediction performance index and the active power regulation performance index of the time station i; wi、Wi.0、ts.iAnd te.iRespectively the spot transaction plan electric quantity of the station i, the finished spot transaction electric quantity, the spot transaction plan starting time and the spot transaction plan ending time; k is a radical ofs、ke、kp、kcAnd ktWeighting coefficients corresponding to a safety and stability performance index, an economic and environmental protection performance index, an ultra-short-term power generation capacity prediction performance index, an active power regulation performance index and a spot transaction progress are respectively set;
recording the moment corresponding to the end of the active control instruction execution cycle as t1(ii) a The G central station is at t1The active control space of the time refers to the field station at t1The active power output range and the active power regulation speed of the moment from the moment of receiving the active power control command to t1The station power can be from t within the time0The upper limit and the lower limit of the active power to which the active power is regulated at any moment; the overload limit of the monitoring equipment is according to t0Current limit at the moment of overload of the monitoring device is according to t0And monitoring the equipment load current power factor invariable to obtain the equipment overload active limit.
Step 2: based on t0Acquiring the active sensitivity of all power generation stations, loads and external connecting line active power to monitoring equipment/channels in the power grid according to a tidal current equation at the moment of the running state of the power grid;
and step 3: taking the weighted sum of the mean value and the mean square deviation of the ratio of the active control instruction value of the G middle station to the comprehensive performance index as an optimization target by introducing a penalty factor, taking the active control space of the G middle station, the active balance of the power grid, the overload limit of the monitoring equipment, the safety and stability limit of the monitoring channel and the active reserve limit constraint of the G middle station into account according to all power generation stations, loads and the active sensitivity of the active of an external tie line to the monitoring equipment/channel in the power grid, and establishing an optimization model of the active control instruction value of the G middle station;
wherein, the optimization model is specifically as follows,
wherein n is the number of the G stations, Pi.1Is the active control command value of the power station i in G, αiIs the comprehensive performance index of a power generation station i in G, lambda is a punishment factor which gives consideration to the comprehensive performance index of the power generation station and the fairness of operation management (the larger the value is, the better the fairness is embodied, and conversely, the smaller the value is, the better the comprehensive performance index is embodied), and P isi.1.u、Pi.1.dRespectively an upper limit and a lower limit of an active control space of a power generation station i in G, and Gs is t0Power generation station set P not participating in power generation active control optimization decision at any momentj.1Is t1The active planned value of the power station j at the moment Gs and TL is t0External connection line set of time power grid, Pk.1Is t1Injecting an active planned value of the power grid into the external connecting line k at the moment TL, wherein the injection is positive, the outflow is negative, and L is t0Time of day grid load set, Pl.1Is t1The active prediction value of the load L at the moment L, gamma is t0Grid loss rate, f, calculated from the total load of the grid at any moment0And KfAre each t0The power grid frequency and the active-frequency static characteristic coefficient at the moment; f. ofrRated frequency for the power grid; epsilonfThe allowable deviation value of the grid frequency set according to the grid dispatching operation regulation is usually 0.2Hz, β is a parameter set for preventing the grid frequency from being excessively deviated after active control, the value range is (0,0.5), the allowable deviation value is usually set to 0.1, and D is t1Time of day monitoring device/channel set, Pd.0Is t0Active power of device/channel D at time D, Pi.0、Sd.iAre each t0Active power of station i at time G and active sensitivity of station i to device/channel D at time G, Pj.0、Sd.jAre each t0The active power of the station j at time Gs and the active sensitivity, P, of the station j to the device/channel D in Dk.0、Sd.kAre each t0Injecting external tie-line k into grid at time TLActive and active sensitivity in TL to the outer tie k to device/channel D in D, Pl.0、Sd.lAre each t0The active power of the load L at the moment L and the active sensitivity of the load L to the device/channel D in D, when the device/channel D in D is a device, Pd.lmt.FAnd Pd.lmt.OTake the same value as t0The overload limit of the device D at the moment, P when the device/channel D in D is a channeld.lmt.F、Pd.lmt.OAre each t1Forward and reverse safety and stability limits, P, of time channel di.1.max、Pi.1.minAre each t1Active maximum and minimum, P, of station i at time Gj.1.max、Pj.1.minAre each t1The maximum and minimum active values, P, of the station j at a time Gsl，oIs t1Interruptible load capacity, P, of load L at time Lr.u、Pr.dRespectively t set according to the dispatching operation rule of the power grid1The active positive reserve limit and the active negative reserve limit are always on.
Wherein, Pj.1、Pk.1、Pl.1Can be obtained by curve fitting according to the corresponding power generation plan, tie line plan and load prediction respectively, Pr.u、Pr.dCan combine t according to the set active positive spare capacity coefficient and active negative spare capacity coefficient1The total amount of the predicted load value at the moment is obtained by calculation.
And 4, step 4: obtaining an active control instruction value of the G middle station by solving the optimization model;
and 5: and generating an active control instruction of each station according to the active control instruction value of the station in the G and the active planned value of the power generation station which does not participate in the power generation active control optimization decision, and implementing active control on the corresponding station.
A grid power generation active control system that accounts for performance profiles, the system comprising:
an information acquisition module: for obtaining the current time t0Comprehensive performance of stations in power generation station set G and G for power grid operation state and participation in power generation active control optimization decisionIndexes, active control space of the station at the corresponding moment G when the active control instruction execution cycle ends, overload limit of monitoring equipment, forward safety and stability limit of a monitoring channel, reverse safety and stability limit of the monitoring channel, active positive standby limit of a power grid, active negative standby limit of the power grid and active plan value of the power generation station not participating in power generation active control optimization decision;
a sensitivity calculation module: for based on t0Calculating the active sensitivity of all power generation stations, loads and external connecting line active power to monitoring equipment/channels in the power grid according to a power flow equation at the moment of the power grid operation state;
an optimization model establishing module: the method comprises the steps that weighted sum of the mean value and the mean square error of the ratio of the active power of the G middle station to the comprehensive performance index is used as an optimization target through introducing a punishment factor, the active control space of the G middle station, the active power balance of the power grid, the overload limit of monitoring equipment, the safety and stability limit of the monitoring channel and the active reserve limit constraint are calculated according to all power generation stations, loads and the active sensitivity of the active power of an external tie line to the monitoring equipment/channel in the power grid, and an optimization model of the active control instruction value of the G middle station is established;
an active control instruction value acquisition module: the method comprises the steps of obtaining an active control instruction value of a field station in G by solving an optimization model;
an active control module: and the active control instruction generator is used for generating the active control instruction of each station according to the active control instruction value of the station in the G and the active plan value of the power generation station which does not participate in the power generation active control optimization decision, and implementing active control on the corresponding station.
Further, the active control space of the station at the time G corresponding to the end of the active control instruction execution cycle refers to an active output range and an active adjustment speed of the station at the time corresponding to the end of the active control instruction execution cycle, and the station active power can be adjusted from t to t from the time when the active control instruction is received to the time corresponding to the end of the active control instruction execution cycle0The upper active limit and the lower active limit to which the active is regulated at any moment.
Further, the overload limit of the monitoring equipment is according to t0Constantly monitoring equipment overload electricityFlow quota per t0And monitoring the equipment load current power factor invariable to obtain the equipment overload active limit.
Further, the optimization model is specifically a model of a model,
wherein n is the number of the G stations, Pi.1Is the active control command value of the power station i in G, αiIs the comprehensive performance index of a power generation station i in G, lambda is a punishment factor which gives consideration to the comprehensive performance index and the operation management fairness of the power generation station, and Pi.1.u、Pi.1.dRespectively an upper limit and a lower limit of an active control space of a power generation station i in G, and Gs is t0The power generation station set which does not participate in the power generation active control optimization decision at the moment records the corresponding moment when the active control instruction execution cycle ends as t1，Pj.1Is t1The active planned value of the power station j at the moment Gs and TL is t0External connection line set of time power grid, Pk.1Is t1Injecting an active planned value of the power grid into the external connecting line k at the moment TL, wherein the injection is positive, the outflow is negative, and L is t0Time of day grid load set, Pl.1Is t1The active prediction value of the load L at the moment L, gamma is t0Grid loss rate, f, calculated from the total load of the grid at any moment0And KfAre each t0The power grid frequency and the active-frequency static characteristic coefficient at the moment; f. ofrRated frequency for the power grid; epsilonfThe allowable deviation value of the power grid frequency is set according to the power grid dispatching operation regulation, β is a parameter set for preventing the power grid frequency from being excessively deviated after active control, and D is t1Time of day monitoring device/channel set, Pd.0Is t0Active, P, of device/channel D at time Di.0、Sd.iAre each t0Active power of station i at time G and its active sensitivity to device/channel D at time D, Pj.0、Sd.jAre each t0The active power of station j at time Gs and its active sensitivity to device/channel D at D, Pk.0、Sd.kAre each t0Active power injected into the grid to the external tie-line k at time TL and its active sensitivity, P, to the device/channel D in Dl.0、Sd.lAre each t0The active power of the load L and its active sensitivity to the device/channel D in D at the time L, when the device/channel D in D is a device, Pd.lmt.FAnd Pd.lmt.OTake the same value as t0The overload limit of the device D at the moment, P when the device/channel D in D is a channeld.lmt.F、Pd.lmt.OAre each t1Forward and reverse safety and stability limits, P, of time channel di.1，max、Pi.1，minAre each t1Active maximum and minimum, P, of station i at time Gj.1.max、Pj.1.minAre each t1The maximum and minimum active values, P, of the station j at a time Gsl.oIs t1Interruptible load capacity, P, of load L at time Lr.u、Pr.dRespectively t set according to the dispatching operation rule of the power grid1The active positive reserve limit and the active negative reserve limit are always on.
The 1 st item of an objective function of the optimization decision reflects the requirements of power grid enterprises on active control optimization decision, and active power is sequentially distributed according to the sequence of comprehensive performance indexes from large to small for stations with the same conditions of the restriction of active power output; and the 2 nd item of the objective function reflects the requirement of a power generation enterprise on active power control optimization decision by using the minimum mean square error between the ratios of the station active power and the comprehensive performance indexes thereof, and distributes the active power in equal proportion according to the comprehensive performance indexes for stations with the same active power output restriction conditions. The sum of the two terms is taken as a target function through the penalty factor, and different requirements of power grid enterprises and power generation enterprises on active control of the stations are considered.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (9)
1. A method for actively controlling power generation of a power grid in consideration of performance distribution characteristics, the method comprising:
obtaining the current time t0The comprehensive performance indexes of the stations in the power generation station set G and the station in the G participating in the power generation active control optimization decision, and the active control space of the station in the G corresponding to the end of the active control instruction execution period, the overload limit of the monitoring equipment, the forward safety and stability limit of the monitoring channel, the reverse safety and stability limit of the monitoring channel, the active positive and standby limit of the power grid, and the active negative and standby limit of the power gridThe active planned values of the power generation stations which do not participate in the power generation active control optimization decision are summed;
based on t0Acquiring the active sensitivity of all power generation stations, loads and external connecting line active power to monitoring equipment/channels in the power grid according to a tidal current equation at the moment of the running state of the power grid;
taking the weighted sum of the mean value and the mean square error of the ratio of the active power of the G station to the comprehensive performance index as an optimization target by introducing a penalty factor, taking the active power control space of the G station, the active power balance of the power grid, the overload limit of the monitoring equipment, the safety and stability limit of the monitoring channel and the active reserve limit constraint of the G station into account according to all power generation stations, loads and the active sensitivity of the active power of an external tie line to the monitoring equipment/channel in the power grid, and establishing an optimization model of the active power control instruction value of the G station;
obtaining an active control instruction value of the G middle station by solving the optimization model;
and generating an active control instruction of each station according to the active control instruction value of the station in the G and the active planned value of the power generation station which does not participate in the power generation active control optimization decision, and implementing active control on the corresponding station.
2. The active control method for power generation of the power grid considering the performance distribution characteristics is characterized in that comprehensive performance indexes of the G central stations are as follows:
in the formula, αiIs a comprehensive performance index of G Medium station i, αs.i、αe.i、αp.iAnd αc.iAre each t0Safety and stability performance index, economic and environmental performance index, ultra-short-term power generation capability prediction performance index and active power regulation performance index W of time station ii、Wi.0、ts.iAnd te.iThe spot transaction electric quantity, the spot transaction plan starting time and the spot transaction plan ending time are respectively the spot transaction electric quantity of which the spot transaction plan electric quantity of the station i is completed; k is a radical ofs、ke、kp、kcAnd ktAnd the weighting coefficients respectively correspond to a safety and stability performance index, an economic and environmental protection performance index, an ultra-short-term power generation capacity prediction performance index, an active power regulation performance index and a spot transaction progress.
3. The method according to claim 1, wherein the active control space of the station at the time G corresponding to the end of the active control command execution period refers to an active power output range and an active power regulation speed of the station at the time corresponding to the end of the active control command execution period, and the station active power can be controlled from t to t from the time when the active control command is received to the time corresponding to the end of the active control command execution period0The upper active limit and the lower active limit to which the active is regulated at any moment.
4. The method of claim 1, wherein the monitoring device overload limit is based on t0Current limit at the moment of overload of the monitoring device is according to t0And monitoring the equipment load current power factor invariable to obtain the equipment overload active limit.
5. The method for actively controlling power generation of a power grid considering performance distribution characteristics as claimed in claim 1, wherein the optimization model is specifically,
wherein n is the number of the G stations, Pi.1Is the active control command value of the power station i in G, αiIs the comprehensive performance index of the power station i in G, and lambda is the comprehensive performance index and the operation pipe of the power stationPenalty factor for fairness, Pi.1.u、Pi.1.dRespectively an upper limit and a lower limit of an active control space of a power generation station i in G, and Gs is t0The power generation station set which does not participate in the power generation active control optimization decision at the moment records the corresponding moment when the active control instruction execution cycle ends as t1，Pj.1Is t1The active planned value of the power station j at the moment Gs and TL is t0External connection line set of time power grid, Pk.1Is t1Injecting an active planned value of the power grid into the external connecting line k at the moment TL, wherein the injection is positive, the outflow is negative, and L is t0Time of day grid load set, Pl.1Is t1The active prediction value of the load L at the moment L, gamma is t0Grid loss rate, f, calculated from the total load of the grid at any moment0And KfAre each t0The power grid frequency and the active-frequency static characteristic coefficient at the moment; f. ofrRated frequency for the power grid; epsilonfThe allowable deviation value of the power grid frequency is set according to the power grid dispatching operation regulation, β is a parameter set for preventing the power grid frequency from being excessively deviated after active control, and D is t1Time of day monitoring device/channel set, Pd.0Is t0Active, P, of device/channel D at time Di.0、Sd.iAre each t0Active power of station i at time G and its active sensitivity to device/channel D at time D, Pj.0、Sd.jAre each t0The active power of station j at time Gs and its active sensitivity to device/channel D at D, Pk.0、Sd.kAre each t0Active power injected into the grid to the external tie-line k at time TL and its active sensitivity, P, to the device/channel D in Dl.0、Sd.lAre each t0The active power of the load 1 and its active sensitivity to the device/channel D in D at time L, when the device/channel D in D is a device, Pd.lmt.FAnd Pd.lmt.OTake the same value as t0The overload limit of the device D at the moment, P when the device/channel D in D is a channeld.lmt.F、Pd.lmt.OAre each t1Forward and reverse safety and stability limits, P, of time channel di.1.max、Pi.1.minAre each t1Active maximum and minimum, P, of station i at time Gj.1.max、Pj.1.minAre each t1The maximum and minimum active values, P, of the station j at a time Gsl.oIs t1Interruptible load capacity, P, of load L at time Lr.u、Pr.dRespectively t set according to the dispatching operation rule of the power grid1The active positive reserve limit and the active negative reserve limit are always on.
6. A grid power generation active control system that considers performance distribution characteristics, the system comprising:
an information acquisition module: for obtaining the current time t0The method comprises the following steps that the comprehensive performance indexes of stations in a power grid running state, a power generation station set G and a power generation station set G participating in power generation active control optimization decision, and active control space of the stations in the corresponding moment G, monitoring equipment overload limit, monitoring channel forward safety and stability limit, monitoring channel reverse safety and stability limit, power grid active positive and standby limit, power grid active negative and standby limit and active planned values of the power generation stations not participating in the power generation active control optimization decision are obtained;
a sensitivity calculation module: for based on t0Calculating the active sensitivity of all power generation stations, loads and external connecting line active power to monitoring equipment/channels in the power grid according to a power flow equation at the moment of the power grid operation state;
an optimization model establishing module: the method comprises the steps that weighted sum of the mean value and the mean square error of the ratio of the active power of the G middle station to the comprehensive performance index is used as an optimization target through introducing a punishment factor, the active control space of the G middle station, the active power balance of the power grid, the overload limit of monitoring equipment, the safety and stability limit of the monitoring channel and the active reserve limit constraint are calculated according to all power generation stations, loads and the active sensitivity of the active power of an external tie line to the monitoring equipment/channel in the power grid, and an optimization model of the active control instruction value of the G middle station is established;
an active control instruction value acquisition module: the method comprises the steps of obtaining an active control instruction value of a field station in G by solving an optimization model;
an active control module: and the active control instruction generator is used for generating the active control instruction of each station according to the active control instruction value of the station in the G and the active plan value of the power generation station which does not participate in the power generation active control optimization decision, and implementing active control on the corresponding station.
7. The active power control system for grid power generation considering performance distribution characteristics as claimed in claim 6, wherein the active control space of the station at the time G corresponding to the end of the active control command execution period refers to an active power output range and an active power regulation speed of the station at the time corresponding to the end of the active control command execution period, and the station active power can be measured from t to t from the time when the active control command is received to the time corresponding to the end of the active control command execution period0The upper active limit and the lower active limit to which the active is regulated at any moment.
8. The grid power generation active control system taking into account performance distribution characteristics of claim 6, wherein the monitoring device overload limit is according to t0Current limit at the moment of overload of the monitoring device is according to t0And monitoring the equipment load current power factor invariable to obtain the equipment overload active limit.
9. The active control system for power generation of power grid considering performance distribution characteristics as claimed in claim 6, wherein the optimization model is specifically,
wherein n is the number of the G stations, Pi.1Is the active control command value of the power station i in G, αiIs the comprehensive performance index of a power generation station i in G, lambda is a punishment factor which gives consideration to the comprehensive performance index and the operation management fairness of the power generation station, and Pi.1.u、Pi.1.dRespectively an upper limit and a lower limit of an active control space of a power generation station i in G, and Gs is t0Power generation without participating in power generation active control optimization decision at any momentThe electric field station set records the corresponding moment of the end of the active control instruction execution cycle as t1，Pj.1Is t1The active planned value of the power station j at the moment Gs and TL is t0External connection line set of time power grid, Pk.1Is t1Injecting an active planned value of the power grid into the external connecting line k at the moment TL, wherein the injection is positive, the outflow is negative, and L is t0Time of day grid load set, Pl.1Is t1The active prediction value of the load 1 at the time L, gamma is t0Grid loss rate, f, calculated from the total load of the grid at any moment0And KfAre each t0The power grid frequency and the active-frequency static characteristic coefficient at the moment; f. ofrRated frequency for the power grid; epsilonfThe allowable deviation value of the power grid frequency is set according to the power grid dispatching operation regulation, β is a parameter set for preventing the power grid frequency from being excessively deviated after active control, and D is t1Time of day monitoring device/channel set, Pd.0Is t0Active, P, of device/channel D at time Di.0、Sd.iAre each t0Active power of station i at time G and its active sensitivity to device/channel D at time D, Pj.0、Sd.jAre each t0The active power of station j at time Gs and its active sensitivity to device/channel D at D, Pk.0、Sd.kAre each t0Active power injected into the grid to the external tie-line k at time TL and its active sensitivity, P, to the device/channel D in Dl.0、Sd.lAre each t0The active power of the load 1 and its active sensitivity to the device/channel D in D at time L, when the device/channel D in D is a device, Pd.lmt.FAnd Pd.lmt.OTake the same value as t0The overload limit of the device D at the moment, P when the device/channel D in D is a channeld.lmt.F、Pd.lmt.OAre each t1Forward and reverse safety and stability limits, P, of time channel di.1.max、Pi.1.minAre each t1Active maximum and minimum, P, of station i at time Gj.1.max、Pj.1.minAre each t1The maximum and minimum active values, P, of the station j at a time Gsl.oIs t1Interruptible load capacity, P, of load 1 at time Lr.u、Pr.dRespectively t set according to the dispatching operation rule of the power grid1The active positive reserve limit and the active negative reserve limit are always on.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111738493A (en) * | 2020-05-22 | 2020-10-02 | 国电南瑞科技股份有限公司 | Power grid safety risk pre-control decision method and device for new energy power generation uncertainty |
| CN113469411A (en) * | 2021-05-26 | 2021-10-01 | 国电南瑞科技股份有限公司 | Power grid active power coordination optimization control decision method and device considering adjustment dead zone |
| CN113469410A (en) * | 2021-05-26 | 2021-10-01 | 国电南瑞科技股份有限公司 | Power grid maximum consumption capability online calculation method and device considering new energy uncertainty |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018050394A (en) * | 2016-09-21 | 2018-03-29 | パナソニックＩｐマネジメント株式会社 | Storage battery system and storage battery control program |
| CN107979092A (en) * | 2017-12-18 | 2018-05-01 | 国网宁夏电力有限公司经济技术研究院 | It is a kind of to consider distributed generation resource and the power distribution network dynamic reconfiguration method of Sofe Switch access |
| CN108520315A (en) * | 2018-03-23 | 2018-09-11 | 国电南瑞科技股份有限公司 | The electric network active real-time control method of meter and medium and long-term transaction and spot exchange constraint |
| CN108565869A (en) * | 2017-12-08 | 2018-09-21 | 广州供电局有限公司 | Low-voltage network voltage control method, device, storage medium and computer equipment |
| CN108808738A (en) * | 2018-05-29 | 2018-11-13 | 国电南瑞科技股份有限公司 | A kind of power grid security Corrective control method considering constraint priority |
| CN109066703A (en) * | 2018-09-20 | 2018-12-21 | 山东理工大学 | A kind of distribution network voltage regulation method counted and source lotus is coordinated |
| CN109217324A (en) * | 2018-11-29 | 2019-01-15 | 国网江苏省电力有限公司 | A kind of automatic voltage control system and control method counted and Reactive Power Price compensates |
| CN109378863A (en) * | 2018-10-31 | 2019-02-22 | 国电南瑞科技股份有限公司 | The power grid Real-time generation control Study on Decision-making Method for Optimization of weight and constraint link adjustment |
| KR101963607B1 (en) * | 2016-12-22 | 2019-04-01 | 한국전기연구원 | Method, apparatus and recording medium for enhancing distribution system voltage stability by using forecasted data |
| CN109842160A (en) * | 2019-01-21 | 2019-06-04 | 国电南瑞科技股份有限公司 | Decision-making technique, apparatus and system based on two time point coordination optimization Generation Controls |
-
2020
- 2020-02-26 CN CN202010122128.0A patent/CN111130149B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018050394A (en) * | 2016-09-21 | 2018-03-29 | パナソニックＩｐマネジメント株式会社 | Storage battery system and storage battery control program |
| KR101963607B1 (en) * | 2016-12-22 | 2019-04-01 | 한국전기연구원 | Method, apparatus and recording medium for enhancing distribution system voltage stability by using forecasted data |
| CN108565869A (en) * | 2017-12-08 | 2018-09-21 | 广州供电局有限公司 | Low-voltage network voltage control method, device, storage medium and computer equipment |
| CN107979092A (en) * | 2017-12-18 | 2018-05-01 | 国网宁夏电力有限公司经济技术研究院 | It is a kind of to consider distributed generation resource and the power distribution network dynamic reconfiguration method of Sofe Switch access |
| CN108520315A (en) * | 2018-03-23 | 2018-09-11 | 国电南瑞科技股份有限公司 | The electric network active real-time control method of meter and medium and long-term transaction and spot exchange constraint |
| CN108808738A (en) * | 2018-05-29 | 2018-11-13 | 国电南瑞科技股份有限公司 | A kind of power grid security Corrective control method considering constraint priority |
| CN109066703A (en) * | 2018-09-20 | 2018-12-21 | 山东理工大学 | A kind of distribution network voltage regulation method counted and source lotus is coordinated |
| CN109378863A (en) * | 2018-10-31 | 2019-02-22 | 国电南瑞科技股份有限公司 | The power grid Real-time generation control Study on Decision-making Method for Optimization of weight and constraint link adjustment |
| CN109217324A (en) * | 2018-11-29 | 2019-01-15 | 国网江苏省电力有限公司 | A kind of automatic voltage control system and control method counted and Reactive Power Price compensates |
| CN109842160A (en) * | 2019-01-21 | 2019-06-04 | 国电南瑞科技股份有限公司 | Decision-making technique, apparatus and system based on two time point coordination optimization Generation Controls |
Non-Patent Citations (4)
| Title |
|---|
| SHI ZHAN等: "Real-Time Active Power Control Method of", 《2018国际电力系统技术大会》 * |
| 姚格平等: "西藏电网考虑光伏接入的有功控制系统设计", 《电网与清洁能源》 * |
| 肖传亮，赵波等: "配电网中基于网络分区的高比例分布式光伏集群电压控制", 《电力系统自动化》 * |
| 陈堂龙，汪马翔等: "考虑长期电量公平与实时电力公平的新能源有功控制方法", 《电力系统自动化》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111738493A (en) * | 2020-05-22 | 2020-10-02 | 国电南瑞科技股份有限公司 | Power grid safety risk pre-control decision method and device for new energy power generation uncertainty |
| CN111738493B (en) * | 2020-05-22 | 2022-08-23 | 国电南瑞科技股份有限公司 | Power grid safety risk pre-control decision method and device for new energy power generation uncertainty |
| CN113469411A (en) * | 2021-05-26 | 2021-10-01 | 国电南瑞科技股份有限公司 | Power grid active power coordination optimization control decision method and device considering adjustment dead zone |
| CN113469410A (en) * | 2021-05-26 | 2021-10-01 | 国电南瑞科技股份有限公司 | Power grid maximum consumption capability online calculation method and device considering new energy uncertainty |
| CN113469411B (en) * | 2021-05-26 | 2023-10-27 | 国电南瑞科技股份有限公司 | Power grid active coordination optimization control decision method and device considering adjustment dead zone |
| CN113469410B (en) * | 2021-05-26 | 2023-10-31 | 国电南瑞科技股份有限公司 | Online calculation method and device for maximum power consumption capacity of power grid in consideration of uncertainty of new energy |
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