CN111159619A - Power distribution network planning method based on distributed power supply coordination mechanism - Google Patents
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Abstract
The invention discloses a power distribution network planning method based on a distributed power supply coordination mechanism, which comprises the steps of firstly dividing a functional area in a planning area and analyzing differential load characteristics; performing conventional load prediction on each functional area, and correcting a conventional load prediction value by considering a distributed power supply coordination mechanism based on the conventional load prediction; and on the basis of the corrected load predicted value, considering a distributed power supply coordination mechanism, considering investment decision economy and operation economy reliability, analyzing the power distribution network under different scenes, and confirming the optimal configuration scheme of the grid structure, the transformer substation capacity and the line of the planning year.
Description
Technical Field
The invention relates to the technical field of power distribution network engineering in the power industry, in particular to a power distribution network planning method under a distributed power supply coordination mechanism in power distribution network planning work.
Background
With the rapid development of national economy and the improvement of living standard of people, the requirement of users on power supply reliability is higher and higher, and a power distribution network is an important part of electric energy supply of the users in a power system, so that the reliability of the power distribution network is very important. Distribution network planning related research to improve the power supply reliability criteria is also growing like bamboo shoots after rain. However, the rapidly increasing load and the large-scale access of renewable energy provide new challenges for reliable power supply of the power distribution network, and when the reliability of the power distribution network is too low, improvements can be made through means such as planning or technical improvement, for example, adding equipment such as a transformer and a connecting line, or modifying a network structure, but under the influence of policies, the investment amount is downward, and therefore, the coordination between the reliability and the investment needs to be fully considered. Conventional reliability and investment coordination planning are based on a planning scheme of maximum load power balance planning, but the influence of distributed power supply power balance on the planning scheme is not considered, so that a power distribution network planning method based on a distributed power supply coordination mechanism is provided for ensuring economic and reliable operation of a power grid.
Because the distributed power generation has intermittency and uncertainty, the coordination of the distributed power has certain complexity, and the complexity is highlighted as follows: (1) the output of the distributed power supply has certain uncertainty and is difficult to predict accurately; (2) the grid connection of the distributed power supplies has great influence on the planning of the power distribution network, for example, the planning of the conventional power distribution network only considers the maximum load and makes a planning scheme for the power distribution network, and when the planning is carried out after the grid connection of the distributed power supplies, the output of the distributed power supplies is also considered in a time-sharing manner to carry out electric quantity balance analysis and optimize the planning scheme for the power distribution network, so that the planning complexity is increased, and certain complexity and difficulty are realized.
Through retrieval and analysis of documents in the prior art, the existing power distribution network planning method mainly has the following defects:
1. the conventional power distribution network planning mainly takes the maximum load as a main body, and the grid structure of the power distribution network in multiple regions at present basically meets the requirement of the maximum load, so that the planning is gradually inclined from power balance to electric quantity balance in order to better construct a green power network in the future, but the power distribution network planning under the consideration of a distributed power supply coordination mechanism is lack of research or even is not considered at present;
2. the existing research considering the coordination between reliability and economy is more, and the planning of a power distribution network under the consideration of a distributed power supply coordination mechanism is not analyzed on the basis, so that certain resource waste exists and economic waste is caused.
Disclosure of Invention
Aiming at the problems in the background art, the invention provides a power distribution network planning method based on a distributed power supply coordination mechanism.
The planning method adopted by the invention comprises the following parts:
1. functional area module
And summarizing and analyzing the characteristics of each functional area according to the conventional load characteristics, and dividing the functional areas into a commercial user functional area, an industrial user functional area and a residential user functional area.
2. Load prediction module under distributed power supply coordination mechanism
In order to improve the consumption capability of the distributed power supply and flexibly coordinate electric quantity balance on the basis of ensuring the electric power balance of a power grid. Firstly, predicting loads according to local economic development conditions, municipal planning and historical data of power loads; and secondly, setting scenes such as seasons, meteorological scenes and the like, predicting the output of the distributed power supply according to historical data, and correcting the predicted load value. On the basis of the maximum load prediction value, local consumption analysis of the distributed power supply in the planning area is carried out in different scenes, and the electric quantity generated by the distributed power supply in the area is guaranteed to be transferred at the feeder line level of the power distribution network as far as possible, so that the electric quantity of the feeder line is kept balanced. Under the condition that the region meets the maximum load, the redundant distributed power generation amount is transferred to the connected region for consumption, and the outgoing power amount is as follows:
wherein the local consumption of the distributed power supply is as follows:
in the formula (I), the compound is shown in the specification,
the day-out power transmission quantity under the scene k is obtained; pNWSThe annual outgoing power is sent;
the daily consumption on site;
the daily output is DG; pNXNThe consumption amount is consumed on the spot in the load year; pNDGDG annual contribution, k scene βkIs the weight of scene k;
and
the fan output and the photovoltaic output at the moment t under the scene k are respectively.
After the consumption analysis of the sub-scenes, the consumption condition of the load is determined for each scene, so that the maximum load predicted value of the planning area is determined again.
3. Planning module under distributed power supply coordination mechanism
The load of the regional functional area is mainly converted from a main transformer station and a connecting line of the region to a transformer station or renewable energy source for power generation and supply. In order to meet the power consumption requirement of the functional area load and improve the consumption capability of renewable energy sources, the power supply load requirement is converted mainly by building a tie line, and a power distribution network planning scheme is constructed. The planning mainly builds a planning module from the aspects of economic investment and high reliability, and finally determines a planning economic and reliable scheme.
(1) Investment decision variables
The decision variables are all 0-1 variables, including tie line construction decision variables
Renewable energy construction decision variables
Where r denotes an area number and D denotes a capacity selection scheme of the device.
(2) Operating policy variables
The operation strategy variables comprise that the power supply power of the transformer substation exists in each load scene
Tie line converting power
Renewable energy power supply
Based on the above decision and policy variables, the necessary constraints need to be observed when performing the analysis, as follows:
(1) power balance constraint
In the formula (I), the compound is shown in the specification,
the power provided for the photovoltaic cells is,
electric power supplied for wind power, Ls,rIs a normal load. When a tie line is present, the electrical load is balanced throughout a large area.
(2) Transformer substation constraint
In the formula (I), the compound is shown in the specification,
is the initial capacity of the substation.
(3) Tie line constraint
The junctor transfer capacity should be in the capacity range:
in the formula, less than 1 means that at most one link planning construction scheme is selected in the r region within the planning year.
(4) Photovoltaic output constraint
The photovoltaic output should be within its rated capacity:
in the formula (I), the compound is shown in the specification,
respectively, the minimum output and the maximum output of the photovoltaic.
(5) Wind power output constraint
The wind output should be within its rated capacity:
in the formula (I), the compound is shown in the specification,
respectively the minimum output and the maximum output of the wind power.
Drawings
Fig. 1 is a flowchart of a power distribution planning method under a distributed power source coordination mechanism.
Detailed Description
The following detailed description of specific embodiments of the invention is made with reference to the accompanying drawings in which:
1. functional area dividing module
Since different functional areas are formed by different users, the load characteristics of electricity used in different functional areas are different. Firstly, load data of different users in a planning area are collected, functional areas are divided, and electricity consumption behavior characteristic analysis is carried out.
2. Electric power and electric quantity prediction module under distributed power supply coordination mechanism
The power and electric quantity prediction under the distributed power supply coordination mechanism mainly comprises the steps of conventional load prediction and load prediction under the distributed power supply coordination mechanism, and the specific steps are as follows:
(1) analyzing the electrical load characteristics aiming at different functional area users in the planning area, and further predicting the load;
(2) setting scenes of seasons and day segment time of the functional area, and analyzing the output characteristics of the existing distributed power supply;
(3) and analyzing the absorption capacity and the conversion capacity of the distributed power supply under a distributed power supply coordination mechanism based on the current distribution network frame structure and the current situation, and correcting the load predicted value. Under the condition that the region meets the maximum load, the redundant distributed power generation amount is transferred to the connected region for consumption, and the outgoing power amount is as follows:
wherein the local consumption of the distributed power supply is as follows:
in the formula (I), the compound is shown in the specification,
the day-out power transmission quantity under the scene k is obtained; pNWSThe annual outgoing power is sent;
the daily consumption on site;
the daily output is DG; pNXNThe consumption amount is consumed on the spot in the load year; pNDGDG annual contribution, k scene βkIs the weight of scene k;
and
the fan output and the photovoltaic output at the moment t under the scene k are respectively.
And based on the formula, carrying out balance mechanism analysis so as to correct the load predicted value.
3. Planning module under distributed power supply coordination mechanism
A planning module under a distributed power supply coordination mechanism is mainly used for planning a power distribution network from the investment economy and the operation reliability economy of a power grid. The method comprises the following specific steps:
(1) firstly, determining a target variable of a planning decision, a substation decision variable, a tie line construction decision variable and a renewable energy construction decision variable.
(2) Based on the maximum load prediction value under the distributed power supply coordination mechanism, the coordination mechanism is analyzed from the economic and reliable operation angle, the following constraint conditions are met, and the planning scheme is finally confirmed.
1) Power balance constraint
In the formula (I), the compound is shown in the specification,
the power provided for the photovoltaic cells is,
electric power supplied for wind power, Ls,rIs a normal load. When a tie line is present, the electrical load is balanced throughout a large area.
2) Transformer substation constraint
In the formula (I), the compound is shown in the specification,
is the initial capacity of the substation.
3) Tie line constraint
The junctor transfer capacity should be in the capacity range:
in the formula, less than 1 means that at most one link planning construction scheme is selected in the r region within the planning year.
4) Photovoltaic output constraint
The photovoltaic output should be within its rated capacity:
in the formula (I), the compound is shown in the specification,
respectively, the minimum output and the maximum output of the photovoltaic.
5) Wind power output constraint
The wind output should be within its rated capacity:
in the formula (I), the compound is shown in the specification,
respectively the minimum output and the maximum output of the wind power.
According to the operation constraint conditions, the operation analysis of the power distribution network is carried out aiming at five time intervals of the day, the night and the middle in four seasons of spring, summer, autumn and winter, so that the optimal planning scheme is determined.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A power distribution network planning method based on a distributed power supply coordination mechanism is characterized in that functional areas in a planning area are divided, and differential load characteristic analysis is carried out; load prediction under a distributed power supply coordination mechanism is mainly characterized in that on the basis of conventional load prediction, the conventional load prediction value is further corrected by considering the distributed power supply coordination mechanism; and planning under a distributed power supply coordination mechanism, based on the corrected load predicted value, considering investment decision economy and operation economy reliability, evaluating and analyzing the power distribution network in different scenes under the distributed power supply coordination mechanism, and confirming the optimal configuration scheme of a grid structure, the capacity of a transformer substation and a line of a planning year.
2. The method according to claim 1, wherein the functional areas are divided into industrial areas, commercial areas and residential areas.
3. The method according to claim 1, wherein the load prediction and correction of the power distribution network under the distributed power coordination mechanism is based on a conventional grid structure, and the load prediction and correction are performed by confirming an actual maximum load demand and correcting a load prediction value of the planning area in consideration of the distributed power output power transfer to ensure the power and power balance of a feeder line of the whole power distribution network.
4. The power distribution network planning method based on the distributed power supply coordination mechanism of claim 1, wherein in the planning under the distributed power supply coordination mechanism, the optimal planning scheme is a planning scheme for determining the optimal grid structure, substation and line by considering the coordination of the whole feeder network of the distributed power supply based on the maximum load corrected in the planning year under different scenes and performing investment and operation economic reliability analysis.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111723974A (en) * | 2020-05-18 | 2020-09-29 | 国网新疆电力有限公司经济技术研究院 | Active power distribution network planning method based on electric power tight balance |
| CN113408794A (en) * | 2021-06-02 | 2021-09-17 | 国网河北省电力有限公司高邑县供电分公司 | Power grid planning method for collaborative new energy development |
| CN113793022A (en) * | 2021-09-10 | 2021-12-14 | 广东电网有限责任公司 | Power grid investment planning scheme generation method and system based on distributed cloud energy storage |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108767859A (en) * | 2018-07-06 | 2018-11-06 | 国网江苏省电力有限公司苏州供电分公司 | It is a kind of based on from bottom to top with the load forecasting method being combined from top to bottom |
| CN109412202A (en) * | 2018-10-26 | 2019-03-01 | 全球能源互联网研究院有限公司 | Distributed generation resource control method for coordinating and system |
| CN109858774A (en) * | 2019-01-09 | 2019-06-07 | 燕山大学 | Improve the source net lotus planing method of security of system and harmony |
-
2019
- 2019-11-29 CN CN201911198656.8A patent/CN111159619A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108767859A (en) * | 2018-07-06 | 2018-11-06 | 国网江苏省电力有限公司苏州供电分公司 | It is a kind of based on from bottom to top with the load forecasting method being combined from top to bottom |
| CN109412202A (en) * | 2018-10-26 | 2019-03-01 | 全球能源互联网研究院有限公司 | Distributed generation resource control method for coordinating and system |
| CN109858774A (en) * | 2019-01-09 | 2019-06-07 | 燕山大学 | Improve the source net lotus planing method of security of system and harmony |
Non-Patent Citations (4)
| Title |
|---|
| 姚慧芳等: ""考虑电量外送的多电压等级电网分布式电源优化配置方法"" * |
| 姚慧芳等: "考虑电量外送的多电压等级电网分布式电源优化配置方法", 《电力系统保护与控制》, pages 3 * |
| 李柳松: ""考虑多功能区差异性的综合能源系统调度及规划研究"", pages 2 * |
| 李柳松: "考虑多功能区差异性的综合能源系统调度及规划研究", 中国优秀硕士学位论文全文数据库-工程科技II辑》, pages 2 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111723974A (en) * | 2020-05-18 | 2020-09-29 | 国网新疆电力有限公司经济技术研究院 | Active power distribution network planning method based on electric power tight balance |
| CN111723974B (en) * | 2020-05-18 | 2024-05-28 | 国网新疆电力有限公司经济技术研究院 | Active power distribution network planning method based on power tight balance |
| CN113408794A (en) * | 2021-06-02 | 2021-09-17 | 国网河北省电力有限公司高邑县供电分公司 | Power grid planning method for collaborative new energy development |
| CN113793022A (en) * | 2021-09-10 | 2021-12-14 | 广东电网有限责任公司 | Power grid investment planning scheme generation method and system based on distributed cloud energy storage |
| CN113793022B (en) * | 2021-09-10 | 2024-03-29 | 广东电网有限责任公司 | Power grid investment planning scheme generation method and system based on distributed cloud energy storage |
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