CN110826854A - Method for calculating flexible adaptability evaluation index of power distribution network in first-class city - Google Patents
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Abstract
The invention provides a method for calculating a flexible adaptability evaluation index of a first-class city power distribution network, which comprises the following steps: establishing an index system for evaluating the flexible adaptability of the power distribution network of the first-class city, wherein the index system comprises a power distribution network side flexible adaptability index, a load side flexible adaptability index and a new energy power generation oriented flexible adaptability index; and calculating various indexes. The invention provides a flexible adaptability evaluation index calculation method for a first-class city power distribution network facing a power distribution network side, a load side and new energy power generation, verification is carried out through a modified IEEE33 node example system, partial index values set under different scenes (the power distribution network side, the load side and the new energy power generation dimension) are calculated, the flexible adaptability of the power distribution network is quantitatively evaluated, the effectiveness of the method is fully proved, and a certain reference value is provided for popularization and construction of the current first-class city power distribution network.
Description
Technical Field
The invention belongs to the technical field of power distribution network evaluation, relates to a power distribution network index calculation method, and particularly relates to a power distribution network flexible adaptability evaluation index calculation method under the first-class city power distribution network construction principle.
Background
The national grid company plans to use about 4 years to make 10 key cities such as Beijing and Shanghai into a first-class city distribution network in the world. Due to the existence of multiple distributed power sources and emerging loads in the power distribution network of the first-class city, the fluctuation and uncertainty of the operation of the power distribution network are increased, and various disturbances or faults possibly exist, so that higher requirements are provided for the flexible adaptability of the power distribution network of the first-class city.
Currently, the research on the first-class city distribution network is still in an exploration stage, and the research results are summarized mainly in the following aspects: the engineering experience of the construction of the first-class power distribution network is summarized, and the application implementation of standardized management in the engineering construction of the first-class power distribution network is promoted by point-to-zone; the main idea and the preliminary idea of building the first-class urban power distribution network are provided, and the difficulty of building and developing the first-class urban power distribution network is overcome; and (3) a first-class city power distribution network evaluation system and method research and the like. In the process of promoting the construction of the distribution network of the first-class city at present, the fluctuation and uncertainty of the operation of the distribution network are increased due to the existence of multiple distributed power sources and emerging loads, and various disturbances or faults possibly existing in the distribution network are also existed, so that more detailed and specific evaluation indexes of the flexibility and adaptability of the distribution network of the first-class city are required to be provided, and the flexibility and adaptability of the distribution network of the first-class city are comprehensively evaluated by integrating the distribution network side, the load side and the new energy power generation side.
Disclosure of Invention
Based on the problems in the prior art, the method is based on the current situation of power distribution network development, and is used for analyzing the connotation of the power distribution network of the first-class city; performing characteristic analysis on the flexibility and adaptability of the first-class power distribution network, and describing various flexibility resources from a distribution network side, a load side and a power supply side; and a flexible adaptability evaluation index system and a calculation method of the first-class city power distribution network are systematically provided for the power generation of the distribution network side, the load side and the new energy, so that a certain reference value is provided for the popularization and construction of the current first-class city power distribution network.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for calculating a flexible adaptability evaluation index of a first-class city power distribution network comprises the following steps:
the flexible adaptability indexes of the power distribution network side comprise: the rotatable power supply rate of the power distribution network, the N-1 power supply conversion flexibility of the transformer, the N-1 power supply conversion flexibility of the line, the inter-station contact rate, the connectivity loss, the line capacity margin and the transformer capacity margin are obtained;
the load side flexible adaptability indexes comprise: net load fluctuation rate, diversified load access rate, bilateral power supply user ratio, self-healing user ratio and user average self-healing time;
the flexible adaptability indexes facing the new energy power generation comprise: the distributed power supply comprises distributed power supply permeability, distributed power supply absorption rate, distributed power supply fluctuation rate, comprehensive energy conversion rate and micro-grid power supply user proportion;
the flexible adaptability index of the distribution network side reflects the flexible adaptability of the distribution network to the distributed power supply, the load randomness and the fluctuation and the magnitude of the rotary power supply facing various disturbances, and is calculated in the following mode:
1) the rotatable power supply rate of the power distribution network is used for evaluating the reliability of a grid structure of a power distribution system and the flexible power supply capacity, the ratio of the number of loops of a rotatable power supply line to the total number of the lines is represented, and the calculation formula is as follows:
the power supply rate of distribution network is equal to the number of power supply circuit returns/total number of circuit x 100% (1)
2) The transformer N-1 is used for testing the flexible adaptability of a power distribution network to supply power after losing one transformer, and the calculation formula is as follows:
the transformer N-1 can meet the requirement of N-1 transformers/total transformers multiplied by 100% (2)
3) The circuit N-1 power supply conversion flexibility is used for testing the flexible adaptability of power supply conversion during the operation of the power distribution network circuit, and a calculation formula is as follows:
line N-1 switching flexibility satisfying N-1 number of lines/total number of lines × 100% (3)
4) The inter-station contact rate is calculated according to the following formula:
number of lines/total number of lines for realizing communication between stations (4)
5) And the connectivity loss is used for quantifying the connectivity level between the power distribution network transformer substation and the load and measuring the connectivity descending amplitude after a fault or disturbance, and the calculation formula is as follows:
6) the line capacity margin is calculated according to the following formula:
7) the capacity margin of the transformer is calculated according to the following formula:
the load side flexible adaptability index is used for evaluating the flexible adaptability of the load side to the distributed power supply, the diversified load access and various disturbances, and is calculated in the following mode:
1) the net load fluctuation rate represents the change rate of the net load of a certain node at two adjacent moments, and the calculation formula is as follows:
2) the diversified load access rate is calculated according to the following formula:
3) the ratio of the power supply users of the double-side power supply is used for evaluating the flexible adaptability to the power supply of important users, and the calculation formula is as follows:
4) the self-healing user proportion has the following calculation formula:
5) the average self-healing time of the user is calculated according to the following formula:
the flexible adaptability index for new energy power generation is calculated in the following mode:
1) the distributed power supply permeability is calculated according to the following formula:
distributed power supply permeability is the total installed capacity/total load peak value of distributed power supply (13)
2) The distributed power supply consumption rate is calculated according to the following formula:
distributed power supply absorption rate (14) is the actual output/total load peak value of the distributed power supply
3) The distributed power supply fluctuation rate is calculated according to the following formula:
4) the comprehensive energy conversion rate is calculated according to the following formula:
the comprehensive energy conversion rate is the total energy output/primary energy consumption of various energy sources (16)
5) The proportion of the users supplied by the micro-grid is calculated according to the following formula:
the micro-grid power supply user ratio is the number of micro-grid supporting power users/the number of regional total users (17).
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the invention systematically provides a flexible adaptability evaluation index calculation method for a first-class city power distribution network, which is verified by a modified IEEE33 node calculation example system, calculates partial index values set under different scenes (a power distribution network side, a load side and new energy power generation dimensionality), quantitatively evaluates the flexible adaptability of the power distribution network, fully proves the effectiveness of the method, and provides a certain reference value for the popularization and construction of the current first-class city power distribution network.
Drawings
Fig. 1 is a schematic diagram of content analysis of a power distribution network in a first-class city.
FIG. 2 is a flexible adaptability evaluation index system for a first-class city distribution network.
Fig. 3 is a topology diagram of an IEEE33 node with distributed power.
FIG. 4 is a histogram of partial indicators in different scenarios.
Detailed Description
The technical solutions provided by the present invention will be described in detail with reference to specific examples, and it should be understood that the following specific embodiments are only illustrative and not intended to limit the scope of the present invention.
To establish an index system suitable for flexible adaptability evaluation of a first-class city power distribution network, the connotation of the first-class city power distribution network needs to be analyzed first, and the first-class city power distribution network is a target provided in recent years in China for pursuing the advanced level of international power distribution network construction. Since it is a concept of spatiotemporal relativity, the first class of decades ago is not necessarily the current one, nor is the current one necessarily the future one. Thus, a first-class city distribution network can be divided into a first-class city distribution network in an absolute sense and a first-class city distribution network in a relative sense. A first-class urban distribution network in absolute terms refers to a high-level distribution network whose index performance indicators are leading or leading over a relatively long period of time. In a relative sense, a first-class urban distribution network is a distribution network with its signature performance indicators capable of being in the forefront of the world both currently and in the future. By combining the development of the urban distribution network in China, considering the development of new technologies including novel energy generation, emerging loads and the like and new state, as shown in fig. 1, the connotation of the urban distribution network in the first flow is analyzed as follows:
1) the intelligent network frame has the characteristics of strong and reliable network frame, standard and intelligent equipment, smart and effective operation and maintenance, high-quality customer service interaction and the like.
2) Fully integrates the technologies of 'cloud big object moving intelligence' and the like.
3) Has high flexibility and adaptability.
Based on the connotation of the power distribution network, the following analysis is carried out on the flexibility characteristics of the power distribution network:
a relatively complete definition of power system flexibility is currently proposed by the north american power Reliability Council (NERC) and the International Energy Agency (IEA). NERC is primarily directed to operational flexibility, which is considered the ability of power systems to meet load changes with system resources. IEA considers that power system flexibility refers to the ability of a power system to respond quickly to large fluctuations in supply and load, within its boundary constraints, to react quickly to foreseeable and unforeseeable changes and events, reducing supply when load demand decreases, and increasing supply when load demand increases.
The flexible applicability of the power distribution network in the first-class city is mainly reflected in 2 aspects, namely, the flexible power distribution network can flexibly adapt to inherent randomness and volatility of a multi-element distributed power supply and the access of emerging loads, flexible resources are quickly regulated and controlled, and the stable and economic operation of the power distribution network is guaranteed; and secondly, the system has rapidity and safety of response aiming at various possible disturbances and faults, realizes self-healing of the power distribution network in time and ensures safe and reliable operation of the power distribution network.
The flexible resource can respond to the regulation and control command in time without delay or hysteresis, and can adjust the increase and decrease of the load so as to meet the requirements of balance and stability of the power distribution network. The flexible resources exist in different forms on the network side, the load side and the power side.
1) The flexibility resources of the power distribution network side are mainly embodied in the flexible adaptability of the network frame, firstly, a transmission channel can be provided for various flexible power supplies and loads, and secondly, the optimized distribution of electric quantity can be realized through flexible power supply conversion.
2) The flexible resources on the load side are mainly embodied in the aspects of adjustable demand response, charging management of emerging loads such as electric vehicles and the like, and the load demand of the power distribution network can be flexibly adjusted and controlled in multiple time and multiple space scales.
3) The flexibility resource of the power supply side is mainly reflected in the power output aspect of new energy power generation. The output of the new energy is flexible and controllable, so that the new energy becomes a high-efficiency flexible resource of the power distribution network, the supply and demand relationship of the nodes of the power distribution network can be flexibly balanced through regulating and controlling the power output of the new energy, and the local load requirement is supported.
Based on the analysis of the flexible adaptability characteristics of the power distribution network, the fluctuation and uncertainty of a multi-element distributed power supply and a new load and various possible disturbances or faults are comprehensively considered, and the power distribution network side, the load side and the new energy power generation are oriented, so that the system comprehensively provides an evaluation index system for the flexible adaptability of the power distribution network of the first-class city, and the evaluation index system comprises three types of flexible adaptability indexes of the power distribution network side, the load side and the new energy power generation:
1) the flexible adaptability indexes of the distribution network side mainly comprise the rotatable power supply rate of a distribution network, the N-1 conversion and supply flexibility of a transformer, the N-1 conversion and supply flexibility of a line, the inter-station contact rate, the loss of connectivity, the capacity margin of the line and the capacity margin of the transformer.
2) The load side flexible adaptability indexes mainly comprise net load fluctuation rate, diversified load access rate, user ratio of power supply of two sides, self-healing user ratio and user average self-healing time.
3) The flexible adaptability indexes for new energy power generation mainly comprise distributed power supply permeability, distributed power supply absorption rate, distributed power supply fluctuation rate, comprehensive energy conversion rate and micro-grid power supply user proportion. The flexible adaptability evaluation index system of the distribution network in the first-class city is specifically shown in fig. 2.
Subsequently, various types of indices are calculated:
the flexible adaptability index of the distribution network side mainly reflects the flexible adaptability of the distribution network to the distributed power supply, the load randomness and the fluctuation and the magnitude of the power conversion power facing various disturbances:
1) the distribution network can convert the power supply rate. The index is one of important indexes for evaluating the reliability and the flexible switching capability of the grid structure of the power distribution system, and represents the ratio of the number of the switching power supply lines to the total number of the lines:
the power supply rate of distribution network is equal to the number of power supply circuit returns/total number of circuit x 100% (1)
2) The transformer N-1 provides flexibility. The index is suitable for testing the flexible adaptability of the power distribution network to supply power after losing one transformer:
the transformer N-1 can meet the requirement of N-1 transformers/total transformers multiplied by 100% (2)
3) Line N-1 provides flexibility. The index is suitable for testing the flexible adaptability of power supply during the operation of the power distribution network circuit:
line N-1 switching flexibility satisfying N-1 number of lines/total number of lines × 100% (3)
4) The contact rate between stations. The index refers to the ratio of all lines realizing inter-station connection in all distribution lines:
number of lines/total number of lines for realizing communication between stations (4)
5) The connectivity is lost. The connectivity is a performance index based on network topology, and the level of the connectivity between the power distribution network transformer substation and the load is quantified. And the connectivity loss measures the connectivity descending amplitude after the fault or disturbance:
6) the line capacity margin. The indicator is expressed as the difference between the maximum capacity allowed for transmission by the line and the actual transmission capacity compared to the maximum capacity allowed for transmission:
7) and (5) capacity margin of the transformer. The index is expressed as the difference between the maximum capacity allowed to be carried by a certain transformer and the actual carrying capacity and the maximum capacity allowed to be carried by the transformer:
the load side flexible adaptability index is mainly used for evaluating the flexible adaptability of the load side to the distributed power supply, the diversified load access and various disturbances:
1) net load fluctuation rate. The index represents the change rate of the net load of a certain node at two adjacent moments:
2) and diversifying load access rate. The index refers to the ratio of the electricity consumption of diversified emerging loads such as electric automobiles to the total electricity consumption load:
3) double-sided power supplies power user ratio. The index is the proportion of medium and low voltage users with main supply lines and double-side power supplies of the interconnection lines to all the medium and low voltage users, and can be used for evaluating the flexible adaptability to the power supply of important users:
4) self-healing user occupation. The index is defined as the percentage value of the total number of users of fault self-healing recovery and the total number of users affected by faults in the statistical time period:
5) and averaging the self-healing time of the user. The index is defined as the average time consumed by a fault self-healing user from fault outage to power restoration:
the flexible adaptability index facing the new energy power generation is as follows:
1) distributed power supply permeability. The index represents the ratio of the total installed capacity of the distributed power supply to the total load peak value in the power distribution network:
distributed power supply permeability is the total installed capacity/total load peak value of distributed power supply (13)
2) Distributed power supply absorption rate. The index represents the ratio of the output electric quantity of the actual absorption distributed power supply of the power distribution network to the total load peak value:
distributed power supply absorption rate (14) is the actual output/total load peak value of the distributed power supply
3) Distributed power supply fluctuation rate. The index refers to the change rate of the output power of the distributed power supply on a unit time scale:
4) comprehensive energy conversion rate. The index refers to the conversion efficiency of the primary energy output into various energy sources such as electricity, steam, cold, heat, water and the like:
the comprehensive energy conversion rate is the total energy output/primary energy consumption of various energy sources (16)
5) And (5) the proportion of the micro-grid power supply users. The index refers to the proportion of the number of the supporting electricity utilization users of the micro-grid in the region to the total number of the users in the region:
microgrid power supply user proportion (microgrid supporting power consumption user number/regional total user number) (17)
The invention takes a modified IEEE33 node calculation system containing a distributed power supply as an example to carry out verification calculation of the part of indexes. The nominal voltage of the system of the calculation example is 12.66kV, the total active load is 3715kW, the total reactive load is 2300kvar, and the maximum current value allowed to flow by the line is 300A. Different simulation scenes are set, various electrical parameter values of the power distribution network are calculated based on a distributed power distribution network load flow calculation method, and the provided index values are further obtained to quantitatively evaluate the flexible adaptability of the power distribution network. The network topology is shown in fig. 3.
And setting 2 simulation scenes, and evaluating the flexible adaptability of the power distribution network under 2 scenes by comparing and analyzing partial flexible adaptability index calculation values under 2 scenes.
Scene 1: the node load of the IEEE33 node calculation example is only expanded to reach the time sequence load power of 24 h.
Scene 2: distributed power supplies with installed capacity of 500k W were connected at nodes 10, 15, 19, 23, 32, respectively, operating at a constant power factor of 0.95, as shown in fig. 3. Meanwhile, different actual output power values (100k W, 200k W and 300k W) of the distributed power supplies are set in a simulated time period to form scenes 2-1 to 2-3, and calculation and analysis of partial indexes are carried out.
And 3 indexes of line capacity margin, net load fluctuation rate and distributed power consumption rate are respectively selected from the power generation dimensionalities of the distribution network side, the load side and the new energy, and calculation is carried out under different simulation scenes. Selecting time 13:00-14:00 as a research time period, taking node 32 net load fluctuation rate and line capacity margin of branches 31-32 as examples, calculating electric parameter values such as voltage and current of the power distribution network through a power distribution network load flow algorithm containing a distributed power supply, and further obtaining part of index values under different scenes through an index calculation formula in section 3.2 as shown in table 1.
TABLE 1 partial index values under different scenarios
According to the index calculation result, the partial index column state under different scenes is drawn as shown in fig. 4.
Through comparative analysis of partial index calculated values in different scenes in table 1 and fig. 4, the following conclusions are obtained:
1) for the line capacity margin indicators of the branches 31-32, it can be seen that an increasing law is exhibited from scenario 1 to the last scenario 2-3. Since the power injected from the distributed power source to the power distribution network at the node 32 is gradually increased from nothing to nothing, the local load demand is supported locally, so that the transmission electric quantity on the line is reduced, and the line capacity margin index value is increased. Therefore, reasonable distributed power supply power output can increase the capacity margin of the line, and the flexible adaptability of the power distribution network is enhanced to a certain extent.
2) For the net load fluctuation rate index, it can be seen that the net load fluctuation rate index is a negative value in different scenes, and the absolute value of the net load fluctuation rate index is gradually increased. During the study period from 13:00 to 14:00, the net load value relative to the previous period was reduced and therefore assumed a negative value. Meanwhile, with different scenes, the power injection of the distributed power supply is gradually increased from nothing to nothing, and the direction of the power of the distributed power supply is opposite to that of the load power, so that a negative value shows an increasing rule.
3) For the distributed power supply absorption rate index, starting from 0 in scenario 1, a gradually increasing rule is presented as the power output of the distributed power supply increases.
The technical means disclosed in the invention scheme are not limited to the technical means disclosed in the above embodiments, but also include the technical scheme formed by any combination of the above technical features. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and such improvements and modifications are also considered to be within the scope of the present invention.
Claims (1)
1. A method for calculating a flexible adaptability evaluation index of a first-class city power distribution network is characterized by comprising the following steps:
step 1, establishing a flexible adaptability evaluation index system of a first-class city power distribution network, wherein the index system comprises a power distribution network side flexible adaptability index, a load side flexible adaptability index and a new energy power generation-oriented flexible adaptability index;
the flexible adaptability indexes of the power distribution network side comprise: the rotatable power supply rate of the power distribution network, the N-1 power supply conversion flexibility of the transformer, the N-1 power supply conversion flexibility of the line, the inter-station contact rate, the connectivity loss, the line capacity margin and the transformer capacity margin are obtained;
the load side flexible adaptability indexes comprise: net load fluctuation rate, diversified load access rate, bilateral power supply user rate, self-healing user ratio and user average self-healing time;
the flexible adaptability indexes facing the new energy power generation comprise: the distributed power supply comprises distributed power supply permeability, distributed power supply absorption rate, distributed power supply fluctuation rate, comprehensive energy conversion rate and micro-grid power supply user proportion;
step 2, calculating various indexes:
the flexible adaptability index of the distribution network side reflects the flexible adaptability of the distribution network to the distributed power supply, the load randomness and the fluctuation and the magnitude of the switching power facing various disturbances, and is calculated in the following mode:
1) the rotatable power supply rate of the power distribution network is used for evaluating the reliability and the flexible power supply capacity of the grid structure of the power distribution system, the ratio of the number of rotatable power supply lines to the total number of the lines is represented, and the calculation formula is as follows:
the power supply rate of distribution network is equal to the number of power supply circuit returns/total number of circuit x 100% (1)
2) The transformer N-1 is used for testing the flexible adaptability of a power distribution network to supply power after losing one transformer, and the calculation formula is as follows:
the transformer N-1 can meet the requirement of N-1 transformers/total transformers multiplied by 100% (2)
3) The circuit N-1 power supply conversion flexibility is used for testing the flexible adaptability of power supply conversion during the operation of the power distribution network circuit, and a calculation formula is as follows:
line N-1 switching flexibility satisfying N-1 number of lines/total number of lines × 100% (3)
4) The inter-station contact rate is calculated according to the following formula:
number of lines/total number of lines for realizing communication between stations (4)
5) And the connectivity loss is used for quantifying the connectivity level between the power distribution network transformer substation and the load and measuring the connectivity descending amplitude after a fault or disturbance, and the calculation formula is as follows:
6) the line capacity margin is calculated according to the following formula:
7) the capacity margin of the transformer is calculated according to the following formula:
the load side flexible adaptability index is used for evaluating the flexible adaptability of the load side to the distributed power supply, the diversified load access and various disturbances, and is calculated in the following mode:
1) the net load fluctuation rate represents the change rate of the net load of a certain node at two adjacent moments, and the calculation formula is as follows:
2) the diversified load access rate is calculated according to the following formula:
3) the ratio of the power supply users of the double-side power supply is used for evaluating the flexible adaptability to the power supply of important users, and the calculation formula is as follows:
4) the self-healing user proportion has the following calculation formula:
5) the average self-healing time of the user is calculated according to the following formula:
the flexible adaptability index for new energy power generation is calculated in the following mode:
1) the distributed power supply permeability is calculated according to the following formula:
distributed power supply permeability is the total installed capacity/total load peak value of distributed power supply (13)
2) The distributed power supply consumption rate is calculated according to the following formula:
distributed power supply absorption rate (14) is the actual output/total load peak value of the distributed power supply
3) The distributed power supply fluctuation rate is calculated according to the following formula:
4) the comprehensive energy conversion rate is calculated according to the following formula:
the comprehensive energy conversion rate is the total energy output/primary energy consumption of various energy sources (16)
5) The proportion of the users supplied by the micro-grid is calculated according to the following formula:
the micro-grid power supply user ratio is the number of micro-grid supporting power users/the number of regional total users (17).
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| CN111582625A (en) * | 2020-03-17 | 2020-08-25 | 上海博英信息科技有限公司 | Gridding-based power distribution network LCR index tracking evaluation method |
| CN112215508A (en) * | 2020-10-21 | 2021-01-12 | 国网浙江省电力有限公司经济技术研究院 | Method and device for analyzing bearing capacity of power distribution network |
| CN112836998A (en) * | 2021-03-26 | 2021-05-25 | 国网河北省电力有限公司电力科学研究院 | Micro-energy-network energy efficiency evaluation method taking alternating current-direct current hybrid micro-grid as core |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598725A (en) * | 2014-12-31 | 2015-05-06 | 国家电网公司 | Evaluation method for power distribution network adaptability of distributed power supply after grid connection |
| WO2016141683A1 (en) * | 2015-03-10 | 2016-09-15 | 中国电力科学研究院 | Implementation method for energy internet absorbing large-scale distributed power supply |
| CN109670720A (en) * | 2018-12-26 | 2019-04-23 | 国网河南省电力公司经济技术研究院 | A kind of active distribution network evaluation method containing distributed energy based on graded index |
-
2019
- 2019-10-08 CN CN201910947421.8A patent/CN110826854A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598725A (en) * | 2014-12-31 | 2015-05-06 | 国家电网公司 | Evaluation method for power distribution network adaptability of distributed power supply after grid connection |
| WO2016141683A1 (en) * | 2015-03-10 | 2016-09-15 | 中国电力科学研究院 | Implementation method for energy internet absorbing large-scale distributed power supply |
| CN109670720A (en) * | 2018-12-26 | 2019-04-23 | 国网河南省电力公司经济技术研究院 | A kind of active distribution network evaluation method containing distributed energy based on graded index |
Non-Patent Citations (1)
| Title |
|---|
| 雷才嘉等: "一流城市配电网的灵活适应性评价指标及计算方法" * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111582625A (en) * | 2020-03-17 | 2020-08-25 | 上海博英信息科技有限公司 | Gridding-based power distribution network LCR index tracking evaluation method |
| CN112215508A (en) * | 2020-10-21 | 2021-01-12 | 国网浙江省电力有限公司经济技术研究院 | Method and device for analyzing bearing capacity of power distribution network |
| CN112836998A (en) * | 2021-03-26 | 2021-05-25 | 国网河北省电力有限公司电力科学研究院 | Micro-energy-network energy efficiency evaluation method taking alternating current-direct current hybrid micro-grid as core |
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