CN115441512A - Multi-energy complementary power balance allocation method - Google Patents
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Abstract
The invention relates to the technical field of power balance allocation, and discloses a multi-energy complementary power balance allocation method which comprises the following steps of establishing a complementary mechanism of multi-energy complementary power balance, wherein a multi-energy power system comprises a plurality of heterogeneous energy power supplies with different output power characteristics, the heterogeneous energy power supplies are preconditions of multi-energy complementary coordinated power generation, and the power supply complementary characteristics are expressed as the characteristics that the output power of each power supply meets the system load by using a formula. According to the invention, a complementary mechanism of multi-energy complementary power balance is established, a power supply flexibility supply and demand and complementary demand model is established, then a layered optimization operation strategy of the multi-heterogeneous energy power supply is formulated according to complementary indexes, wherein the layered optimization operation strategy comprises a complementary power optimization layer, a residual water and electricity optimization layer and a thermal power optimization layer, the output power value of the multi-heterogeneous energy power supply in each time period, which corresponds to the complementary indexes, is calculated, and the complementary indexes can reach the optimal value, so that high-efficiency multi-energy complementation can be carried out, and the power balance can be allocated.
Description
Technical Field
The invention relates to the technical field of power balance allocation, in particular to a multi-energy complementary power balance allocation method.
Background
By researching the power generation characteristics of wind, light and storage, reasonable construction of an energy structure is the first choice for a large amount of intermittent energy grid connection in the future. The multi-energy power system containing high-proportion renewable energy becomes an important development trend of a future power system, and with the access of a large amount of renewable energy, the influence of intermittency and fluctuation of power generation on the optimal operation of the power system is increasingly intensified.
Therefore, how to fully utilize the renewable energy power supply to operate in coordination with the conventional power supply and to consider economic benefits and environmental protection on the basis of ensuring the stable operation of the system has become a hotspot problem of the balanced allocation of the power system.
Disclosure of Invention
In order to achieve the purpose, the invention provides the following technical scheme:
a multi-energy complementary power balance allocation method comprises the following steps:
s1, establishing a complementary mechanism of multi-energy complementary power balance
The multi-energy power system comprises a plurality of heterogeneous energy power supplies with different output power characteristics, and is a precondition for multi-energy complementary coordinated power generation, wherein the complementary characteristics among the power supplies have the characteristics of multiple energy sources, multiple space-time and multiple dimensions, the power supply complementary characteristics are for the characteristic that mutual assistance and mutual assistance power generation can be carried out among the heterogeneous energy power supplies, the power supply complementary characteristics are expressed as the characteristic that the output power of each power supply meets the system load by using a formula, and the formula is as follows:
s2, establishing a power supply flexibility supply and demand and complementarity demand model
The flexibility and the complementation of the power system are realized on the power supply side, so that a flexibility and a complementation model applied to the coordinated optimization operation of the multi-energy power system are introduced on the power supply side, the sum of the adjustable output of all time periods participating in grid connection of all power generation units is the flexibility which can be provided by the system in the time period, the flexibility is called power supply flexibility supply, the flexibility is divided into upward flexibility supply and downward flexibility supply in space, the complementation requirement of the power supply of the multi-energy power system utilizes a controllable power supply to supplement and support an uncontrollable power supply, a mathematical model of the complementation requirement is introduced from the relation between the power supply output and the system load, the goal is the complementation effect and the optimization direction pursued by the multi-energy power system, and the mathematical model of the power supply complementation requirement is introduced from the perspective of improving the adaptability and the absorption capability of renewable energy based on the complementation mechanism of the multi-energy power system.
S3, constructing a complementary index system and a mathematical model of complementary requirements
The method comprises the steps of constructing a complementary index system, defining a complementary index as a quantitative index of a complementary effect pursued by a multi-energy power system, namely the optimization direction of the complementary index system, combining a complementary mechanism of multi-energy complementary coordinated power generation in the multi-energy power system, constructing the complementary index system from the viewpoint of improving the renewable energy consumption capability and energy conservation and efficiency improvement of the system, constructing a mathematical model describing the complementary requirement of a plurality of heterogeneous power sources, defining the complementary requirement of the plurality of heterogeneous power sources as the matching degree of output power between the heterogeneous power sources after being mutually supplemented with load within a certain time, and quantifying by the complementary requirement index between the heterogeneous power sources and the complementary requirement index between the load.
S4, formulating a strategy for deploying the multi-energy complementary power system
A layered scheduling strategy is adopted, a scheduling model is divided into a renewable energy scheduling layer, a hydroelectric scheduling layer, a gas-electricity scheduling layer, an energy storage system scheduling layer and a thermal power scheduling layer, all scheduling layers are connected through updating net load and flexibility margin, the fluctuation of the net load of the system is reduced by utilizing the complementation among wind electricity, photovoltaic and hydropower, the flexibility of the system is indirectly improved, the adjusting capacity of the gas electricity and the energy storage system is exerted, the fluctuation of residual load is stabilized, wind electricity and photovoltaic power generation are preferentially and fully accommodated on the basis of a complementary mechanism of multi-energy complementary coordinated power generation in a multi-energy power system, the randomness, the intermittence and the peak-back regulation characteristic brought by the adjustable hydropower and wind-light corresponding uncertain power sources are fully utilized, the hydropower, the wind electricity, the photovoltaic and the wind electricity are aggregated into a renewable energy complementary power source, the output power of the renewable energy complementary power source fluctuates along with the load, the wind-light consumption capacity of the multi-energy power system can be improved, and the adverse influence of the wind-light resource uncertainty on the stable operation of the system can be reduced.
Preferably, in the step S1,for the load value of the multi-energy power system at the t-th time period,the output power value N of the ith thermal power generating unit in the multi-energy power system in the t time period th For the number of thermal power generating units in service in the t-th time period in the multi-energy power system,the output power value N of the jth hydroelectric generating set in the multi-energy power system in the tth time period hy For multi-energy power systemsThe number of the hydroelectric generating sets in service at the t-th time period.
Preferably, in the step S3, the smaller the value of the complementarity requirement index between the power source and the load is, the closer the variation trends of the power source and the load in the considered time scale are, otherwise, the more different the variation trends of the power source and the load are, the better the complementarity between the power source and the load is, the smaller the complementarity requirement is, that is, the closer the value of the complementarity requirement index is to zero.
Preferably, in step S3, the renewable energy penetration index in the multi-energy power system needs to be calculated.
Preferably, in the step S3, the complementarity requirement index between the various heterogeneous power sources needs to be calculated.
Preferably, the optimization objective of the multi-energy power system selected in step S4 is to optimize the complementarity index of the multi-energy power system and implement reasonable allocation of power system resources, and a hierarchical optimization operation strategy of the multi-heterogeneous energy power source is formulated according to the complementarity index, where the hierarchical optimization operation strategy includes a complementary power source optimization layer, a remaining hydropower optimization layer, and a thermal power optimization layer.
Preferably, in the step S4, a renewable energy scheduling layer strategy is formulated, in order to meet complementary requirements of a multi-energy power system, wind power generation, photovoltaic power generation, hydropower and different types of power supplies are aggregated into a renewable energy complementary power supply, and when complementary requirement indexes are optimal, a comprehensive proportion of wind power, photovoltaic and hydropower is obtained.
Preferably, in the step S4, the complementary power optimization layer optimizes the renewable energy complementary power in the optimized operation of the multi-energy power system, obtains the renewable energy complementary power by aggregating wind power, photovoltaic power and hydropower, obtains the aggregation capacity ratio of matched hydropower and wind and light in the renewable energy complementary power based on the predicted value of the output power of the wind power and the photovoltaic power with the goal of minimum complementarity requirement, and further determines the output power of the wind power, the photovoltaic power and the matched hydropower required in each time period, wherein the main goal of the renewable energy complementary power optimization layer is to determine the aggregation ratio of the wind power, the photovoltaic power and the matched hydropower required in each time period.
The invention provides a multi-energy complementary power balance allocation method. The method has the following beneficial effects:
the invention constructs a wind, light, water, gas and fire storage multi-target coordination layered optimization scheduling model by establishing a complementary mechanism of multi-energy complementary power balance and establishing a power supply flexibility supply and demand and complementary demand model, and taking the economy of system operation, optimal thermal power operation stability and minimum pollutant emission total amount as optimization targets, wherein in order to fully exert the multi-energy complementary action, renewable energy source complementary power supply and power supply complementary demand indexes are defined, and then a layered optimization operation strategy of the multi-heterogeneous energy source power supply is formulated according to the complementary indexes, wherein the layered optimization operation strategy comprises a complementary power optimization layer, a residual water and power optimization layer and a thermal power optimization layer, and the output power value of the multi-heterogeneous energy source power supply corresponding to the complementary indexes which can reach the optimization can be calculated, so that the high-efficiency multi-energy complementary can be carried out, and the power balance can be allocated.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a technical solution: a multi-energy complementary power balance allocation method comprises the following steps:
s1, establishing a complementary mechanism of multi-energy complementary power balance
The multi-energy power system comprises a plurality of heterogeneous energy power supplies with different output power characteristics, and is a precondition for multi-energy complementary coordinated power generation, wherein the complementary characteristics among the power supplies have the characteristics of multiple energy sources, multiple space-time and multiple dimensions, the power supply complementary characteristics are for the characteristic that mutual assistance and mutual assistance power generation can be carried out among the heterogeneous energy power supplies, the power supply complementary characteristics are expressed as the characteristic that the output power of each power supply meets the system load by using a formula, and the formula is as follows:
whereinFor the load value of the multi-energy power system in the t-th time period,the output power value N of the ith thermal power generating unit in the multi-energy power system in the t time period th For the number of thermal power generating units in the t period in the multi-energy power system,the output power value N of the jth hydroelectric generating set in the multi-energy power system in the tth time period hy The number of the hydroelectric generating sets in service in the t-th period of the multi-energy power system is determined.
S2, establishing a power supply flexibility supply and demand and complementarity demand model
The flexibility and the complementation of the power system are realized on the power supply side, so that a flexibility and a complementation model applied to the coordinated optimization operation of the multi-energy power system are introduced on the power supply side, the sum of the adjustable output of all time periods participating in grid connection of all power generation units is the flexibility which can be provided by the system in the time period, the flexibility is called power supply flexibility supply, the flexibility is divided into upward flexibility supply and downward flexibility supply in space, the complementation requirement of the power supply of the multi-energy power system utilizes a controllable power supply to supplement and support an uncontrollable power supply, a mathematical model of the complementation requirement is introduced from the relation between the power supply output and the system load, the goal is the complementation effect and the optimization direction pursued by the multi-energy power system, and the mathematical model of the power supply complementation requirement is introduced from the perspective of improving the adaptability and the absorption capability of renewable energy based on the complementation mechanism of the multi-energy power system.
S3, constructing a complementary index system and a mathematical model of complementary requirements
The method comprises the steps of constructing a complementary index system, defining a complementary index as a quantitative index of complementary effect pursued by a multi-energy power system, namely the optimization direction of the complementary index system, combining a complementary mechanism of multi-energy complementary coordinated power generation in the multi-energy power system, constructing the complementary index system from the viewpoint of improving the system renewable energy consumption and energy conservation and efficiency improvement, constructing a mathematical model for describing the complementary requirement of a plurality of heterogeneous power sources, defining the complementary requirement of the plurality of heterogeneous power sources as the matching degree of output power between the heterogeneous power sources after being mutually supplemented with a load within a certain time, wherein two elements in the complementary requirement are a power source and a load, quantifying through the complementary requirement index between the heterogeneous power sources and the complementary requirement index between the power source and the load, the smaller the value of the complementary requirement index between the power source and the load indicates that the variation trends of the power source and the load within the considered time scale are closer, otherwise, the more different the variation trends of the power source and the load are, the complementary between the power source and the load are the better the complementary requirement index is, namely the complementary requirement index is closer to zero, and the calculation of the penetration rate of the complementary effect of the heterogeneous power sources and the renewable energy in the multi-energy power system is required to be improved.
S4, formulating a strategy for deploying the multi-energy complementary power system
A layered scheduling strategy is adopted, a scheduling model is divided into a renewable energy scheduling layer, a hydroelectric scheduling layer, a gas-electricity scheduling layer, an energy storage system scheduling layer and a thermal power scheduling layer, all scheduling layers are connected through updating net load and flexibility margin, the fluctuation of the net load of the system is reduced by utilizing the complementation among wind electricity, photovoltaic and hydropower, the flexibility of the system is indirectly improved, the adjusting capacity of the gas-electricity and energy storage system is given out again, the fluctuation of the residual load is stabilized, wind electricity and photovoltaic power generation are preferentially and fully accepted on the basis of a complementary mechanism of multi-energy complementary coordinated power generation in a multi-energy power system, the randomness, the intermittence and the peak-back regulation characteristic brought by the adjustable hydropower to wind, photovoltaic and uncertain power sources are fully utilized, the selected optimization target of the multi-energy power system aims to enable the complementarity index of the multi-energy power system to reach the optimal and realize the reasonable allocation of power system resources, the method comprises the steps of establishing a layered optimization operation strategy of a multi-heterogeneous energy power supply according to complementary indexes, wherein the strategy comprises a complementary power supply optimization layer, a residual hydropower optimization layer and a thermal power optimization layer, establishing a renewable energy scheduling layer strategy, integrating different types of power supplies into the renewable energy complementary power supply in order to meet complementary requirements of a multi-energy power system, obtaining the comprehensive proportion of wind power, photovoltaic and hydropower when the complementary requirement indexes are optimal, optimizing the renewable energy complementary power supply in the optimized operation of the multi-energy power system by adopting the wind power, photovoltaic and hydropower integration, obtaining the renewable energy complementary power supply by adopting the wind power, photovoltaic and hydropower integration, aiming at the minimum complementary requirement, and obtaining the polymerization capacity ratio of matched hydropower and wind and light in the renewable energy complementary power supply based on the output power prediction value of the wind power and the photovoltaic, and further determining the output power of wind power, photovoltaic power and required matching hydropower in each time period, wherein the main target of the renewable energy complementary power optimization layer is to determine the polymerization ratio of wind, light and water, and polymerize the hydropower, the wind power and the photovoltaic power into the renewable energy complementary power, and the output power of the renewable energy complementary power fluctuates along with the load, so that the wind and light absorption capacity of the multi-energy power system can be improved, and the adverse effect of uncertainty of wind and light resources on the stable operation of the system can be reduced.
When the wind-solar-water-gas-fire-storage multi-target coordination hierarchical optimization scheduling model is used, a complementary mechanism of multi-energy complementary power balance is established, a power supply flexibility supply and demand and complementary demand model is established, a wind-solar-water-gas-fire-storage multi-target coordination hierarchical optimization scheduling model is established by taking the economy of system operation, the optimal stability of thermal power operation and the minimum total pollutant emission as optimization targets, a renewable energy source complementary power supply and power supply complementary demand index is defined for fully playing the multi-energy complementary action, a hierarchical optimization operation strategy of the multi-heterogeneous energy source is formulated according to the complementary index, the hierarchical optimization operation strategy comprises a complementary power supply optimization layer, a residual water-electricity optimization layer and a thermal power optimization layer, the output power value of the multi-heterogeneous energy source corresponding to the complementary index reaching the optimal value in each time period is calculated, the multi-energy complementary can be carried out efficiently, and the power balance can be allocated.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A multi-energy complementary power balance allocation method is characterized by comprising the following steps:
s1, establishing a complementary mechanism of multi-energy complementary power balance
The multi-energy power system comprises a plurality of heterogeneous energy power supplies with different output power characteristics, and is a precondition for multi-energy complementary coordinated power generation, wherein the complementary characteristics among the power supplies have the characteristics of multiple energy sources, multiple space-time and multiple dimensions, the power supply complementary characteristics are for the characteristic that mutual assistance and mutual assistance power generation can be carried out among the heterogeneous energy power supplies, the power supply complementary characteristics are expressed as the characteristic that the output power of each power supply meets the system load by using a formula, and the formula is as follows:
s2, establishing a power supply flexibility supply and demand and complementarity demand model
The flexibility and the complementation of the power system are realized on the power supply side, so that a flexibility and a complementation model applied to the coordinated optimization operation of the multi-energy power system are introduced on the power supply side, the sum of the adjustable output of all power generation units participating in grid connection in each time period is the flexibility which can be provided by the system in the time period, the flexibility is called power supply flexibility supply, the flexibility is divided into upward flexibility supply and downward flexibility supply in space, the complementation requirement of the power supply of the multi-energy power system utilizes a controllable power supply to supplement and support an uncontrollable power supply, a mathematical model of the complementation requirement is introduced from the relation between the power supply output and the system load, the aim is the complementation effect and the optimization direction pursued by the multi-energy power system, and a mathematical model of the power supply complementation requirement is introduced from the perspective of improving the adaptability and the absorption capability of renewable energy sources based on the complementation mechanism of the multi-energy power system;
s3, constructing a complementary index system and a mathematical model of complementary requirements
Constructing a complementary index system, defining a complementary index as a quantitative index of a complementary effect pursued by the multi-energy power system, namely the optimization direction of the complementary index, combining a complementary mechanism of multi-energy complementary coordinated power generation in the multi-energy power system, and constructing the complementary index system from the viewpoint of improving the renewable energy consumption capability of the system and saving energy and improving efficiency;
constructing a mathematical model for describing the complementation requirements of the heterogeneous power supplies, defining the complementation requirements of the heterogeneous power supplies as the matching degree of output power between the heterogeneous power supplies after being complemented with a load in a certain time, wherein two elements in the complementation requirements are the power supplies and the load, and the complementation requirements of the heterogeneous power supplies and the complementation requirements of the power supplies and the load are quantified;
s4, formulating a strategy for deploying the multi-energy complementary power system
A layered scheduling strategy is adopted, a scheduling model is divided into a renewable energy scheduling layer, a hydroelectric scheduling layer, a gas-electricity scheduling layer, an energy storage system scheduling layer and a thermal power scheduling layer, all scheduling layers are connected through updating net load and flexibility margin, the fluctuation of the net load of the system is reduced by utilizing the complementation among wind electricity, photovoltaic and hydropower, the flexibility of the system is indirectly improved, the adjusting capacity of the gas electricity and the energy storage system is exerted, the fluctuation of residual load is stabilized, wind electricity and photovoltaic power generation are preferentially and fully accommodated on the basis of a complementary mechanism of multi-energy complementary coordinated power generation in a multi-energy power system, the randomness, the intermittence and the peak-back regulation characteristic brought by the adjustable hydropower and wind-light corresponding uncertain power sources are fully utilized, the hydropower, the wind electricity, the photovoltaic and the wind electricity are aggregated into a renewable energy complementary power source, the output power of the renewable energy complementary power source fluctuates along with the load, the wind-light consumption capacity of the multi-energy power system can be improved, and the adverse influence of the wind-light resource uncertainty on the stable operation of the system can be reduced.
2. The method of claim 1, wherein the method further comprises: in the step S1, the first step is performed,for the load value of the multi-energy power system in the t-th time period,the output power value N of the ith thermal power generating unit in the multi-energy power system in the t time period th For the number of thermal power generating units in the t period in the multi-energy power system,the output power value N of the jth hydroelectric generating set in the multi-energy power system in the tth time period hy The number of the hydroelectric generating sets in service in the t-th period of the multi-energy power system is determined.
3. The method of claim 1, wherein the method further comprises: in the step S3, the smaller the value of the complementarity requirement index between the power supply and the load is, the closer the variation trends of the power supply and the load in the considered time scale are, otherwise, the more different the variation trends of the power supply and the load are, the better the complementarity between the power supply and the load is, the smaller the complementarity requirement is, that is, the closer the value of the complementarity requirement index is to zero.
4. The method of claim 1, wherein the method further comprises: in the step S3, the renewable energy penetration index in the multi-energy power system needs to be calculated.
5. The method of claim 1, wherein the method further comprises: in the step S3, the complementarity requirement index between various heterogeneous power sources needs to be calculated.
6. The method of claim 1, wherein the method further comprises: the optimization objective of the multi-energy power system selected in the step S4 is to optimize the complementarity indexes of the multi-energy power system and realize reasonable allocation of power system resources, and a hierarchical optimization operation strategy of the multi-heterogeneous energy power source is formulated according to the complementarity indexes, wherein the hierarchical optimization operation strategy comprises a complementary power source optimization layer, a remaining hydropower optimization layer and a thermal power optimization layer.
7. The method of claim 1, wherein the method further comprises: and step 4, a renewable energy scheduling layer strategy is formulated, in order to meet the complementary requirements of the multi-energy power system, wind power generation, photovoltaic power generation and hydropower are combined into a renewable energy complementary power supply, and when the complementary requirement index is optimal, the comprehensive proportion of wind power, photovoltaic and hydropower is obtained.
8. The method of claim 1, wherein the method further comprises: in the step S4, the complementary power optimization layer optimizes the renewable energy complementary power in the optimized operation of the multi-energy power system, obtains the renewable energy complementary power by aggregating wind power, photovoltaic and hydropower, obtains the aggregate capacity ratio of matched hydropower and wind and light in the renewable energy complementary power based on the predicted value of the output power of wind power and photovoltaic with the goal of minimum complementarity requirement, and further determines the output power of wind power, photovoltaic and matched hydropower in each time period, wherein the main goal of the renewable energy complementary power optimization layer is to determine the aggregate ratio of wind, photovoltaic and water.
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CN118134215A (en) * | 2024-05-07 | 2024-06-04 | 国网浙江省电力有限公司 | Novel power system energy allocation method and system based on balance deduction |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109936164A (en) * | 2019-03-31 | 2019-06-25 | 东北电力大学 | Multiple-energy-source electric power system optimization operation method based on the analysis of power supply complementary characteristic |
CN109936170A (en) * | 2019-04-08 | 2019-06-25 | 东北电力大学 | Consider the honourable extreme misery complementation coordination optimization dispatching method of power supply flexibility nargin |
US20200185926A1 (en) * | 2017-03-21 | 2020-06-11 | State Grid Tianjin Electric Power Company | Method for real-time scheduling of multi-energy complementary micro-grids based on rollout algorithm |
WO2021244000A1 (en) * | 2020-06-03 | 2021-12-09 | 国网上海市电力公司 | Virtual aggregation system and method for regional energy source complex |
CN114221338A (en) * | 2021-12-19 | 2022-03-22 | 东北电力大学 | Multi-energy power system optimal scheduling method considering power supply flexibility and complementarity |
-
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- 2022-06-16 CN CN202210682567.6A patent/CN115441512A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20200185926A1 (en) * | 2017-03-21 | 2020-06-11 | State Grid Tianjin Electric Power Company | Method for real-time scheduling of multi-energy complementary micro-grids based on rollout algorithm |
CN109936164A (en) * | 2019-03-31 | 2019-06-25 | 东北电力大学 | Multiple-energy-source electric power system optimization operation method based on the analysis of power supply complementary characteristic |
CN109936170A (en) * | 2019-04-08 | 2019-06-25 | 东北电力大学 | Consider the honourable extreme misery complementation coordination optimization dispatching method of power supply flexibility nargin |
WO2021244000A1 (en) * | 2020-06-03 | 2021-12-09 | 国网上海市电力公司 | Virtual aggregation system and method for regional energy source complex |
CN114221338A (en) * | 2021-12-19 | 2022-03-22 | 东北电力大学 | Multi-energy power system optimal scheduling method considering power supply flexibility and complementarity |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118134215A (en) * | 2024-05-07 | 2024-06-04 | 国网浙江省电力有限公司 | Novel power system energy allocation method and system based on balance deduction |
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