CN103942613A - Method for grid and province two-stage real-time generation schedule coordinative optimization under generalized tie line mode - Google Patents
Method for grid and province two-stage real-time generation schedule coordinative optimization under generalized tie line mode Download PDFInfo
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Abstract
The invention discloses a method for grid and province two-stage real-time generation schedule coordinative optimization under a generalized tie line mode. The method is characterized by comprising the following steps that firstly, province scheduling generalized tie line plans are obtained through calculation; secondly, a grid scheduling department issues all the province scheduling generalized tie line plans to corresponding province scheduling departments, and the grid scheduling department obtains a generalized tie line plan of each grid scheduling side directly under the province scheduling through calculation; thirdly, sensitivity information is calculated; fourthly, all kinds of information are read; fifthly, the generalized tie line soft constraint of the corresponding province is added, soft constraint cost is added to a conventional optimization object at the same time, then a province-stage power grid mathematic model is formed, the generalized tie line soft constraint of each grid scheduling side directly under the province scheduling is added, soft constraint cost is added to the conventional optimization target at the same time, then a first area power grid mathematic model is formed, the whole-grid grid scheduling side generalized tie line constraint is added on the basis of the first mathematic model, and a second area power grid mathematic model is formed; sixthly, optimization calculation is started. The method for grid and province two-stage real-time generation schedule coordinative optimization under the generalized tie line mode has the advantages that calculation intensity is low and adaptability is high and is suitable for popularization and application in China scheduling mechanisms of all scales.
Description
Technical Field
The invention relates to a power generation plan coordination optimization method, in particular to a grid-province two-stage real-time power generation plan coordination optimization method in a generalized tie line mode, and belongs to the technical field of power system dispatching automation.
Background
At present, along with the gradual promotion and implementation of smart grid construction, according to the prediction of next-day power demand, various constraint conditions such as system balance constraint, unit operation constraint and power grid operation constraint are considered, and the practical degree of day-ahead power generation plan functions for optimally compiling the next-day 96-point unit combination plan and output plan is gradually improved. The day-ahead scheduling plan supports 3 scheduling modes of energy-saving scheduling, power market and three-public scheduling, and on the premise of load prediction data, the day-ahead power generation planning function can be used for compiling a unit combination plan and an output plan from the next day to multiple days in the future, the time interval of the day-ahead power generation plan is 15 minutes, and the start-stop time of each day is 00: 15-00: 00 of the next day. The day-ahead power generation plan can automatically calculate a unit combination plan and a unit output plan, and the ground state power flow check and the n-1 safety check of the day-ahead power generation plan are supported by considering the transmission section safety constraint, the designated transmission element safety constraint, the ground state safety constraint and the n-1 safety constraint in planning.
In the actual implementation process of the day-ahead plan, the day-ahead output plan is greatly adjusted due to the fact that the day-ahead system load prediction and the day-ahead new energy prediction have larger deviation from the actual condition, huge pressure is brought to AGC unit adjustment, and meanwhile, the safety index of a power grid is also reduced. In order to solve the problem, a real-time power generation plan is drawn, and a real-time power generation plan drawing function draws a unit power generation plan of a plurality of time intervals in the future according to the latest power grid operation mode change, unit operation state change, ultra-short-period load demand prediction, ultra-short-period new energy prediction, real-time section quota and power receiving plan. The real-time scheduling plan supports 3 scheduling modes of energy-saving scheduling, power market and three-public scheduling, the time interval of the real-time power generation plan is 5 minutes (or 15 minutes), the time range of planning is 1 to several hours in the future, and the calculated initial time interval is the time interval corresponding to 15 minutes in the future. For example, the current time is 10: and 15, compiling the real-time power generation planning time range to comprise 10: 30 min to 11 min: 30 minutes, one planned output every 5 minutes. The output plan of the unit can be automatically calculated, but the combination state of the unit is not adjusted, namely, the output plan only comprises the economic dispatching function of the unit and does not comprise the combination function of the unit, and the safety constraint of a power transmission section and the safety constraint of a specified power transmission element are considered in planning.
The accuracy of real-time planning basic data is high, the deviation between ultra-short-term prediction data and actual data is small, the execution rate of the output plan is greatly improved, and the safety of the power grid operation in the future 1 to hours can be more accurately evaluated while the pressure of AGC is relieved.
However, the prior art has the following disadvantages: the provincial dispatching and dispatching unit and the network dispatching and dispatching unit provide electricity for each provincial power consumption, the provincial dispatching and dispatching real-time planning and the network dispatching and dispatching real-time planning are two independent systems, the provincial dispatching and dispatching unit is arranged by the provincial dispatching and dispatching real-time planning function, the network dispatching and dispatching unit is arranged by the network dispatching and dispatching real-time planning function, the dispatching units are respectively and independently planned by the network provincial dispatching and dispatching real-time planning function, the provincial power consumption requirements are met together, the coordination of the real-time planning and dispatching unit is realized between the network provinces, the day-ahead output plan of the provincial dispatching and dispatching unit and the output plan of the provincial dispatching and dispatching unit are adjusted, the coordinated operation of the provincial dispatching and dispatching real-time plan is guaranteed.
Disclosure of Invention
In order to solve the defects of the prior art, the invention aims to provide a network province two-stage real-time power generation plan coordination optimization method in a generalized tie line mode, which can solve the technical problems that the prior output plan of a province dispatching and regulating unit and the output plan of a province dispatching and regulating unit belonging to the province dispatching and regulating unit are not effectively adjusted, and the coordinated operation of the network province dispatching and regulating real-time plan is ensured in the prior art.
In order to achieve the above object, the present invention adopts the following technical solutions:
the grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie line mode is characterized by comprising the following steps of:
the method comprises the following steps: calculating to obtain a provincial dispatching generalized connecting line plan according to provincial dispatching system load forecasting before the day, provincial new energy forecasting before the day, provincial thermal power output total sum before the day, provincial hydropower output total sum before the day, provincial dispatching network dispatching thermal power output total sum, provincial dispatching network dispatching water power output total sum, provincial dispatching management unit installed capacity and provincial dispatching network dispatching management unit installed capacity;
step two: the network dispatching issues the generalized tie line plan of each provincial dispatching to the provincial dispatching, and the network dispatching calculates to obtain the generalized tie line plan of the network dispatching side of each provincial dispatching according to the geographical tie line plan of each provincial dispatching and the generalized tie line of the provincial dispatching;
step three: acquiring the latest physical model and real-time mode data of the power grid, and starting sensitivity calculation to obtain sensitivity information of the monitoring element to the unit;
step four: reading ultra-short-term system load prediction, ultra-short-term new energy prediction, temporary maintenance plan, real-time section quota, unit shutdown information, tie line plan, unit adjustable output, unit economic parameter information, unit reference plan, provincial dispatching generalized tie line plan, provincial dispatching direct-belonging network dispatching side generalized tie line plan and sensitivity information;
step five: according to the power grid model of the actual power grid and the data read in the fourth step, adding the provincial generalized tie line soft constraint on the provincial dispatching side on the basis of the conventional optimization model, and simultaneously adding the soft constraint cost in the conventional optimization target to form a multi-objective optimized provincial power grid mathematical model; for the network dispatching side, firstly, adding generalized tie line soft constraints of each provincial network dispatching side on the basis of a conventional optimization model, adding soft constraint cost in a conventional optimization target to form a regional power grid mathematical model I of multi-objective optimization, and then adding generalized tie line constraints of the whole network dispatching side on the basis of the mathematical model I to form a regional power grid mathematical model II of multi-objective optimization;
step six: on the provincial dispatching side, solving a provincial power grid mathematical model and outputting result information; and during network regulation and measurement, solving a regional power grid mathematical model I and a mathematical model II in sequence, and outputting result information.
The grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie line mode is characterized in that the generalized tie line is defined as:
wherein,
m is the number of the province, t is the time,for ultra-short term system load prediction at time t for province m,for the ultra-short term new energy prediction of the province m at the province-dispatching side at the time t,for the ultra-short term new energy prediction of the network regulation side of province m at the moment t,in order to save the installed capacity of the pipe adjusting machine set for saving m,for the installed capacity of the direct network pipe adjusting machine which saves m,the total output of the thermal power generating unit of the province regulating pipe at the moment t of province m,the power output of the thermal power generating unit of the grid-connected and regulated main power grid is always added for the province m at the moment t,the total output of the hydropower unit of the province m at the moment t is adjusted,the total output of the direct-belongs network regulating pipe hydro-power generating unit of province m at the moment t,the generalized tie-line plan at the provincial side of the province m at the time t,and planning the generalized tie line at the network tone side of the province m at the time t.
The grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie-line mode is characterized in that in the second step,wherein: tie Pm,tThe geography link plan is adjusted for province m at time t.
In the fifth step, the provincial power grid mathematical model considers the generalized tie line constraint as follows:
wherein,
soft constraint relaxation variables of generalized tie lines at the time t of m province;
in the fifth step, the first regional power grid mathematical model considering the generalized tie line constraint is as follows:
in the fifth step, the regional power grid mathematical model two considers the full-grid generalized tie line constraint as follows:
the invention has the advantages that: the method aims at minimizing the cost of conventional optimization target superposition generalized tie line soft constraint, comprehensively considers various power grid operation constraints, considers the tie line dispatching generalized tie line soft constraint, ensures the real-time planned parallel operation of the power grid provinces, does not interfere with each other, simultaneously meets the power consumption requirement of each tie line dispatching system, and is beneficial to improving the intelligent level and decision-making capability of real-time power generation dispatching. Meanwhile, the method has the characteristics of low calculation intensity and strong adaptability, and is suitable for popularization and application in various-scale dispatching mechanisms in China.
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FIG. 1 is a schematic structural view of a preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and the embodiments.
Referring to fig. 1, the grid-province two-stage real-time power generation plan coordination optimization method in the generalized tie line mode provides definitions of provincial dispatching generalized tie line plans and provincial dispatching direct-belonging grid dispatching side generalized tie line plans for clearing responsibility of grid provincial dispatching and dispatching management units so that grid provincial dispatching real-time plans can operate coordinately, and the grid provincial dispatching real-time plans can be guaranteed to operate coordinately as long as the regional power grid real-time plans and the provincial power grid real-time plans simultaneously meet respective generalized tie line constraints. In the process of compiling the provincial network dispatching real-time plan, the information such as ultra-short-term system load forecasting, ultra-short-term wind power forecasting, real-time section quota, temporary maintenance plan, unit reference plan, real-time geographical tie line plan and generalized tie line plan is needed, the provincial network dispatching generalized tie line soft constraint is added, the unit operation constraint, the system balance constraint, the network safety constraint and the practical constraint are comprehensively considered, the conventional optimization target is modified, and the provincial network dispatching real-time plan compiling coordination operation condition is analyzed on the basis. The method specifically comprises the following steps:
the method comprises the following steps: according to the province-day-ahead system load prediction, the province-day-ahead new energy prediction, the province-day-ahead thermal power output total sum, the province-dispatching-subordinate network straightening-dispatching-power output total sum, the province-dispatching-governing unit installed capacity and the province-dispatching-subordinate network dispatching-governing unit installed capacity, the network dispatching calculates and obtains a province-dispatching generalized connecting line plan according to the data;
the generalized tie is defined as:
wherein,
m is the number of the province, t is the time,for ultra-short term system load prediction at time t for province m,for the ultra-short term new energy prediction of the province m at the province-dispatching side at the time t,for the ultra-short term new energy prediction of the network regulation side of province m at the moment t,in order to save the installed capacity of the pipe adjusting machine set for saving m,for the installed capacity of the direct network pipe adjusting machine which saves m,the total output of the thermal power generating unit of the province regulating pipe at the moment t of province m,the power output of the thermal power generating unit of the grid-connected and regulated main power grid is always added for the province m at the moment t,the total output of the hydropower unit of the province m at the moment t is adjusted,the total output of the direct-belongs network regulating pipe hydro-power generating unit of province m at the moment t,the generalized tie-line plan at the provincial side of the province m at the time t,and planning the generalized tie line at the network tone side of the province m at the time t.
Step two: the network dispatching issues the generalized tie line plan of each provincial dispatching to the provincial dispatching, and the network dispatching calculates to obtain the generalized tie line plan of the network dispatching side of each provincial dispatching according to the geographical tie line plan of each provincial dispatching and the generalized tie line of the provincial dispatching;
from the generalized tie plan definition, it is easy to see that:
the following conclusions are derived from the above equation:
wherein: tie Pm,tPlanning geographical links at the m-th moment t of province. The equation reveals the relationship between the provincial-tone-side generalized tie plan and the provincial-tone-side generalized tie plan, and when the provincial-tone-side generalized tie plan or the geographic tie plan changes, the provincial-tone-side generalized tie plan changes correspondingly.
Step three: acquiring the latest physical model and real-time mode data of the power grid, and starting sensitivity calculation to obtain sensitivity information of the unit to the monitoring element; in this step, the specific process of acquiring the sensitivity information is prior art, and the present invention is not further described.
Step four: reading ultra-short-term system load prediction, ultra-short-term new energy prediction, temporary maintenance plan, real-time section quota, unit shutdown information, tie line plan, unit adjustable output, unit economic parameter information, unit reference plan, provincial dispatching generalized tie line plan, provincial dispatching direct-belonging network dispatching side generalized tie line plan and sensitivity information; the provincial tone generalized tie line plan is obtained in the first step and used for provincial tone, the provincial tone-side generalized tie line plan is obtained in the second step and used for network tone, and the sensitivity information is obtained in the third step.
Step five: according to the power grid model of the actual power grid and the data read in the fourth step, adding the provincial generalized tie line soft constraint on the provincial dispatching side on the basis of the conventional optimization model, and simultaneously adding the soft constraint cost in the conventional optimization target to form a multi-objective optimized provincial power grid mathematical model; for the network dispatching side, firstly, soft constraints of generalized tie lines of each provincial network dispatching side are added on the basis of a conventional optimization model, meanwhile, soft constraint cost is added in a conventional optimization target, a first regional power grid mathematical model of multi-objective optimization is formed, and then, generalized tie line constraints of the whole network dispatching side are added on the basis of a second mathematical model, and a second regional power grid mathematical model of multi-objective optimization is formed.
Conventional optimization models are typically:
in the three-fair dispatching mode, the optimization target is that the deviation between the output of all the units and the initial plan is minimum:
under the energy-saving scheduling mode, the optimization target is that the power generation energy consumption of all the units is the lowest:
constraint conditions are as follows:
pi,t＝Pi,t
ui,t＝Ui,t
wherein, I is the number of conventional energy units participating in scheduling in the system, T is the number of time segments contained in the scheduling period of the system, and STi,tThe starting fuel cost of the conventional unit i at t is calculated; w is the number of intermittent energy units participating in scheduling, pw,tIs the output of the intermittent energy unit w at t, pi,tThe output of the conventional unit i at t,the initial output of the conventional unit i at t,is the per unit dimension of the deviation of the unit i at t,give a bias to the unitPoor cost function, C (p)i,t) The energy consumption of the unit i at t is shown,the predicted value of the system load when t is obtained;the power prediction value of the intermittent energy unit w at t is obtained; p is a radical ofi,minAnd pi,maxThe lower limit and the upper limit of the output of the conventional unit i, ui,t0/1 quantity, representing the start-stop state of the unit; deltaiThe maximum value of the load can be increased or decreased for the unit i at each time interval;andrespectively providing an up-regulation rotary standby and a down-regulation rotary standby for the conventional unit i at t,andthe up-regulation rotation standby requirement and the down-regulation rotation standby requirement of the system t are respectively required; pi,tFixing a set output value for the conventional unit i at t;andrespectively the minimum starting time and the minimum stopping time of the unit i;andcontinuous startup and shutdown time of the unit i before the time period t are respectively set; u shapei,tSetting a state value for a conventional unit i at t;andrespectively representing the upper and lower limits of the current, p, of the branch ijij,tIs the power flow of branch ij during time t.
On the basis of a conventional optimization model, the province network dispatches respectively add respective generalized tie line constraints, modify respective optimization targets and realize province network coordination optimization.
The modification process of the provincial side optimization model is explained as follows:
the provincial power grid mathematical model is as follows:
the optimization model adds the soft constraint of the generalized tie line of this province:
wherein:and the soft constraint relaxation variable of the generalized tie line at the m-th moment t is shown.
The optimization objective is the conventional objective and the generalized tie-line constraint relaxation penalty cost is minimal:
in the energy-saving scheduling mode, the conventional goal is that the deviation between the output of all units and the initial plan is minimum:
under the energy-saving scheduling mode, the optimization target is that the power generation energy consumption of all the units is the lowest:
wherein: fnIn order to be a general objective,and (3) the soft constraint relaxation variable unit penalty cost of the generalized tie line at the moment t of province M, wherein M is the number of provinces, and M is 1 for the province side.
The modification process of the network tuning side optimization model is explained as follows:
the first mathematical model of the regional power grid is as follows:
the optimization model adds the direct network side generalized tie line soft constraint of each province:
the optimization objective is the conventional objective and the generalized tie-line constraint relaxation penalty cost is minimal:
in the energy-saving scheduling mode, the conventional goal is that the deviation between the output of all units and the initial plan is minimum:
under the energy-saving scheduling mode, the optimization target is that the power generation energy consumption of all the units is the lowest:
wherein: fnIn order to be a general objective,and (3) the soft constraint relaxation variable unit penalty cost of the generalized tie line at the moment t of saving M is obtained, and M is the number of saving regulations.
The second mathematical model of the regional power grid is as follows:
adding a full-network-side generalized tie line constraint on the basis of a regional power grid model I:
and the optimization target is the same as the regional power grid model I.
The technical scheme is applied to some grid dispatching planning systems of provincial power grids, and the application effect is in line with expectations. Practical application shows that the method can effectively distribute the deviation to respective regulating and managing units by the network province dispatching real-time planning function when the ultra-short-period system load and ultra-short-period new energy forecast deviate from the day-ahead forecast data, and the power consumption requirement of one hour or several hours in the future is met together, so that the network province dispatching real-time planning flow is operated in a coordinated mode, the planning refinement is realized, the AGC regulation pressure is reduced, and the safe operation of a power grid is guaranteed.
The method is used for researching and trying the provincial power dispatching real-time planning coordination operation under the actual power grid data, and searching out an optimization method under the provincial power dispatching generalized tie line coordination dispatching mode. The method aims at achieving the purpose of minimizing the cost of superposing the soft constraints of the generalized tie lines by the conventional optimization target, comprehensively considers the operation constraints of various power grids, considers the soft constraints of the generalized tie lines for dispatching the power grid provinces, ensures the real-time planning parallel operation of the power grid provinces, and meets the power consumption requirements of dispatching systems of the power grids of the power provinces while avoiding mutual interference, thereby being beneficial to improving the intelligent level and decision-making capability of real-time power generation dispatching. Meanwhile, the method has the characteristics of low calculation intensity and strong adaptability, and is more suitable for popularization and application in various-scale dispatching mechanisms in China.
Other details and concepts of the invention have been set forth in order to provide a thorough understanding of the invention.
The method of the invention has the following characteristics and functions:
the method provides the definition of a generalized tie line plan for dividing the responsibility of the provincial network dispatching management unit in the output distribution, and is a new idea of division of provincial network dispatching responsibility.
The network dispatching system and the provincial dispatching system operate in parallel without mutual interference and supplement each other to meet the system load requirements of each province, and the network dispatching system realizes the optimized dispatching and coordination operation of real-time plans by observing the generalized tie line plan respectively, thereby meeting the increasingly refined safe operation requirements of large power grids.
The provincial dispatching system comprises a provincial dispatching system, a network dispatching side generalized tie line constraint generation mathematical model system balance constraint, unit operation constraint, network safety constraint and practical constraint.
The method has the advantages that the generalized tie line adjusting mode is established by comprehensively considering the deviation adjusting quantity of the two-stage respective regulating and managing unit of the network province, so that the parallel operation of two independent real-time planning and compiling systems of the network province can be ensured as long as the two stages of the network province strictly observe the plans of the respective generalized tie lines, the power utilization requirements of the network province are met together, and meanwhile, the regulating pressure of the AGC unit can be reduced, so that the power grid can operate safely and stably.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (6)
1. The grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie line mode is characterized by comprising the following steps of:
the method comprises the following steps: calculating to obtain a provincial dispatching generalized connecting line plan according to provincial dispatching system load forecasting, provincial dispatching new energy forecasting, provincial dispatching thermal power output total sum, provincial dispatching hydropower output total sum, provincial dispatching network straightening and thermal power regulating power output total sum, provincial dispatching network straightening and water regulating power output total sum, provincial dispatching new energy output total sum, provincial dispatching management unit installed capacity and provincial dispatching network regulating management unit installed capacity;
step two: the network dispatching issues the generalized tie line plan of each provincial dispatching to the provincial dispatching, and the network dispatching calculates to obtain the generalized tie line plan of the network dispatching side of each provincial dispatching according to the geographical tie line plan of each provincial dispatching and the generalized tie line of the provincial dispatching;
step three: acquiring the latest physical model and real-time mode data of the power grid, and starting sensitivity calculation to obtain sensitivity information of the unit to the monitoring element;
step four: reading ultra-short-term system load prediction, ultra-short-term new energy prediction, temporary maintenance plan, real-time section quota, unit shutdown information, tie line plan, unit adjustable output, unit economic parameter information, unit reference plan, provincial dispatching generalized tie line plan, provincial dispatching direct-belonging network dispatching side generalized tie line plan and sensitivity information;
step five: according to the power grid model of the actual power grid and the data read in the fourth step, adding the provincial generalized tie line soft constraint on the provincial dispatching side on the basis of the conventional optimization model, and simultaneously adding the soft constraint cost in the conventional optimization target to form a multi-objective optimized provincial power grid mathematical model; for the network dispatching side, adding soft constraints of generalized tie lines of each province directly belonging to the network dispatching side on the basis of a conventional optimization model, adding soft constraint cost in a conventional optimization target to form a regional power grid mathematical model I of multi-objective optimization, and then adding generalized tie line constraints of the whole network dispatching side on the basis of the mathematical model I to form a regional power grid mathematical model II of multi-objective optimization;
step six: on the provincial dispatching side, solving a provincial power grid mathematical model and outputting result information; and during network regulation and measurement, solving a regional power grid mathematical model I and a mathematical model II in sequence, and outputting result information.
2. The grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie-line mode according to claim 1, wherein the generalized tie-line is defined as:
m is the number of the province, t is the time,for ultra-short term system load prediction at time t for province m,for the ultra-short term new energy prediction of the province m at the province-dispatching side at the time t,for the ultra-short term new energy prediction of the network regulation side of province m at the moment t,in order to save the installed capacity of the pipe adjusting machine set for saving m,for the installed capacity of the direct network pipe adjusting machine which saves m,the total output of the thermal power generating unit of the province regulating pipe at the moment t of province m,the power output of the thermal power generating unit of the grid-connected and regulated main power grid is always added for the province m at the moment t,the total output of the hydropower unit of the province m at the moment t is adjusted,the total output of the direct-belongs network regulating pipe hydro-power generating unit of province m at the moment t,the generalized tie-line plan at the provincial side of the province m at the time t,and planning the generalized tie line at the network tone side of the province m at the time t.
3. The grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie-line mode according to claim 2, wherein in the second step,wherein: tie Pm,tThe geography link plan is adjusted for province m at time t.
4. The grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie-line mode according to claim 3, wherein in the fifth step, the provincial grid mathematical model considers generalized tie-line constraints as:
wherein,
and the soft constraint relaxation variable of the generalized tie line at the m-th moment t is shown.
5. The grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie-line mode according to claim 4, wherein in the fifth step, the regional grid mathematical model I considers generalized tie-line constraints as:
6. the grid-provincial two-stage real-time power generation plan coordination optimization method in the generalized tie-line mode according to claim 5, wherein in the fifth step, the regional grid mathematical model II considers the full-grid generalized tie-line constraint as follows:
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Cited By (12)
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| CN104299055A (en) * | 2014-10-15 | 2015-01-21 | 国电南瑞科技股份有限公司 | Power generation plan optimizing method for restraining unit reverse regulation in power plant |
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| CN109829576A (en) * | 2019-01-17 | 2019-05-31 | 国家电网有限公司 | A kind of integrated multi-stage scheduling optimization method of total portions |
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