CN107332239B - Power transmission and distribution network coordinated planning method based on power distribution network equivalence - Google Patents

Power transmission and distribution network coordinated planning method based on power distribution network equivalence Download PDF

Info

Publication number
CN107332239B
CN107332239B CN201710667896.2A CN201710667896A CN107332239B CN 107332239 B CN107332239 B CN 107332239B CN 201710667896 A CN201710667896 A CN 201710667896A CN 107332239 B CN107332239 B CN 107332239B
Authority
CN
China
Prior art keywords
distribution network
power
probability
power transmission
distribution
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710667896.2A
Other languages
Chinese (zh)
Other versions
CN107332239A (en
Inventor
周保荣
别朝红
王彤
秦鹏
王滔
连浩然
侯云婷
胡源
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Jiaotong University
Research Institute of Southern Power Grid Co Ltd
Original Assignee
Xian Jiaotong University
CSG Electric Power Research Institute
Power Grid Technology Research Center of China Southern Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Jiaotong University, CSG Electric Power Research Institute, Power Grid Technology Research Center of China Southern Power Grid Co Ltd filed Critical Xian Jiaotong University
Priority to CN201710667896.2A priority Critical patent/CN107332239B/en
Publication of CN107332239A publication Critical patent/CN107332239A/en
Application granted granted Critical
Publication of CN107332239B publication Critical patent/CN107332239B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a power transmission and distribution network coordinated planning method based on power distribution network equivalence. The method comprises the steps of firstly establishing a power distribution network equivalent model based on a universal outage table. And secondly, on the basis of the established equivalent model of each power distribution network, performing probability load flow calculation on the power transmission network side by adopting an analytical method or a simulation method. And finally, obtaining the required power grid planning evaluation index to evaluate the power grid planning scheme. The method adopts a power distribution network equivalence form, and realizes the coordinated planning of the power transmission and distribution network by taking the influence of the power distribution network side on the power transmission network into consideration during power grid planning.

Description

Power transmission and distribution network coordinated planning method based on power distribution network equivalence
Technical Field
The invention relates to a power transmission and distribution network coordinated planning method based on power distribution network equivalence, which considers the influence of power distribution network side randomness on a power transmission network side.
Background
Grid planning (i.e., power grid planning) is an important component of power system planning, and it works to determine the optimal grid structure to meet the need for economically reliable delivery of power based on load growth during planning and power supply planning schemes. Since conventional distribution networks are "passive" receiving networks, the influence of the randomness and uncertainty of the distribution network side on the transmission network side is usually not considered in past grid planning. Particularly, with the rapid development of renewable energy, the power distribution network is changed from the original 'passive' network to the 'active' network, the line flow of the power distribution network is also greatly changed, and the output of the renewable energy has randomness and uncertainty, so that the influence of the power distribution network side on the power transmission network side becomes a factor which is not ignored when the power grid is planned. With the higher proportion of renewable energy in the power grid, the power distribution network is still regarded as a deterministic single load model in the power grid planning, so that serious potential safety hazards are likely to exist in the future uncertain environment, and a large amount of compensation investment cost is caused once an accident occurs.
Therefore, a power transmission and distribution network coordination planning method considering the influence of the randomness of the power distribution network side on the power transmission network side is needed to meet the requirement of future power network planning.
Disclosure of Invention
The invention aims to provide a power transmission and distribution network coordinated planning method based on power distribution network equivalence.
In order to achieve the purpose, the invention adopts the following technical scheme:
1) establishing a power distribution network equivalent model based on a universal outage table;
2) performing probability load flow calculation on the power transmission network side by adopting an analytical method or a simulation method, wherein in the probability load flow calculation, a corresponding power distribution network is equivalent to an input variable or a random factor calculated in the probability load flow calculation according to a power distribution network equivalent model;
3) and acquiring a required power transmission network planning evaluation index according to the probability load flow calculation result, and evaluating a power network planning scheme according to the evaluation index.
The step 1) specifically comprises the following steps: and calculating the outage capacity and the corresponding probability distribution of the distribution network side according to the output characteristic curve of the renewable energy sources at the distribution network side and the power demand curve of the load to obtain the equivalent model of the distribution network.
The distribution network equivalent model comprises equivalent distribution network outage capacity determined according to discretized outage capacity distribution
Figure BDA0001372319580000011
And corresponding exact probability PiAnd cumulative probability Pi *(ii) a Cumulative probability Pi *The shutdown capacity is not less than
Figure BDA0001372319580000012
Is a probability of, exactly, PiTo make the outage capacity equal to
Figure BDA0001372319580000013
Probability of (c):
Figure BDA0001372319580000014
Figure BDA0001372319580000015
wherein i is 0,1, …, n, n +1 is the state number of the outage capacity of the distribution network after the equivalence,
Figure BDA0001372319580000021
representing a power distribution grid outage capacity variable.
The flow of the analytic method in the probabilistic power flow calculation comprises the following steps: and calculating the central moments of each order of the node injection power according to the probability distribution of the outage capacity in the equivalent model of the power distribution network and the probability characteristics of the generator set on the power transmission network side.
The flow of the analytic method in the probabilistic power flow calculation further comprises the following steps:
2.1.1) calculating corresponding order semi-invariant of the node injection power according to each order central moment of the node injection power and the relation between the semi-invariant and the central moment;
2.1.2) calculating the semi-invariant of the node state variable and the semi-invariant of the line state variable according to the semi-invariant of each order of the node injection power;
2.1.3) according to the semi-invariants of the node state variables and the semi-invariants of the line state variables obtained in the step 2.1.2), performing Gram-Charlier series expansion on distribution obeyed by each semi-invariant, and then obtaining probability density functions and probability distribution functions of each state variable.
The process of the simulation method in the probability load flow calculation comprises the following steps: sampling outage capacity of a power distribution network side and random factors of a power transmission network side, and obtaining a power grid planning scene after one-time sampling.
The process of the simulation method in the probability load flow calculation further comprises the following steps:
2.2.1) carrying out deterministic load flow calculation on all the obtained power grid planning scenes, and obtaining a sample point in state quantity probability distribution after each time of completing the deterministic load flow calculation;
2.2.2) fitting the probability density function of the state quantity according to all the obtained sample points, and further obtaining the probability distribution condition of the state quantity.
The evaluation index is selected from safety, reliability or economic index.
The invention has the beneficial effects that:
the invention establishes the equivalent model of the power distribution network based on the general outage table, can convert the random characteristics of random factors in the power distribution network into probability distribution, and can better reflect the influence of the probability distribution on the output characteristics of the power transmission network side. In addition, the value models can be simultaneously applied to the probability load flow calculation of an analytic method and a simulation method. Based on the equivalent model of the power distribution network, the power distribution network and the power transmission network can be combined, the coordinated planning of the power transmission and distribution network can be realized, and the method has a certain guiding effect on the formulation of a future power distribution network planning scheme.
Furthermore, the power distribution network equivalent model is established on the basis of discretization capacity distribution and probability distribution thereof, and the power distribution network equivalent model can be simplified by forming a power distribution side general-purpose stop table by using various uncertain or random factors on the power distribution network side through a conventional mathematical method (such as convolution).
Drawings
Fig. 1 is a flow chart of power transmission and distribution network coordination planning based on power distribution network equivalence.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. The examples are intended to illustrate the invention and not to limit the scope of the invention.
As shown in fig. 1, the invention provides a power transmission and distribution network coordinated planning method based on power distribution network equivalence, which comprises the following specific steps:
firstly, according to an output characteristic curve of renewable energy sources at the side of a power distribution network and a power demand curve of a load, obtaining discretization outage capacity distribution of the renewable energy sources and the load at the side of the power distribution network and corresponding exact probability and cumulative probability; according to the selected step length, discretizing the output characteristic curve of the renewable energy sources and the power demand curve of the load in the power distribution network respectively, counting the occurrence time of each output state of the discretized renewable energy sources and each power demand state of the load, determining the exact probability and the cumulative probability of each output state of the discretized renewable energy sources and each power demand state of the load by calculating the proportion of the occurrence time and the total time of each state, and establishing respective outage tables of the renewable energy sources and the load according to each output and power demand state after discretization and the corresponding exact probability and cumulative probability.
The renewable energy sources and the loads are convoluted one by one in the outage tables respectively, so that a general outage table model of the power distribution network shown in the table 1, namely an equivalent model of the power distribution network, can be established:
TABLE 1. distribution network equivalence model based on general outage table
Figure BDA0001372319580000031
i＝0,1,…,n，
Figure BDA0001372319580000032
In order to minimize the capacity for outages,
Figure BDA0001372319580000033
in order to maximize the capacity of the outage,
Figure BDA0001372319580000034
the discretized outage capacity of the power distribution network is obtained.
Pi *For cumulative probability, it means that the outage capacity of the distribution network is greater than or equal to
Figure BDA0001372319580000036
Probability of (c):
Figure BDA0001372319580000037
Pito exact probability, i.e. outage capacity equal to
Figure BDA0001372319580000038
Probability of (c):
Figure BDA0001372319580000039
the convolution process is exemplified as follows:
Figure BDA00013723195800000310
Figure BDA00013723195800000311
wherein n isa+1 is the number of outage capacity states of the outage table, nb+1 is the number of outage capacity states of the b outage table,
Figure BDA00013723195800000317
the exact probability P of the outage capacity state k in the outage table c obtained after convolution of the outage tables a and bk *cThe cumulative probability of the outage capacity state k in the c outage table obtained after the convolution of the two outage tables a and b is 0,1, …, nc，nc＝na+nb。
Outage capacity in general outage meters for power distribution networks
Figure BDA00013723195800000314
Maximum value of (2) is the maximum value of power demand of the distribution network, and outage capacity
Figure BDA00013723195800000315
Minimum value of (2) is the minimum value of the power demand of the distribution network, the outage capacity
Figure BDA00013723195800000316
The ranges from the outage capacity minimum to the maximum are arranged in steps.
And secondly, aiming at a certain power grid planning scheme, on the basis of the established general outage table model of each power distribution network, performing probability load flow calculation on the power transmission network side by adopting an analytical method or a simulation method.
The flow of the analytic method (e.g., the semi-invariant method) in the probabilistic power flow calculation is as follows:
1) calculating the central moments of all orders of node injection power (generally calculating to seven orders to meet the precision requirement) according to the probability distribution of outage capacity in a power distribution network general outage table and the probability characteristics of a power transmission network side generator set;
2) calculating corresponding order semi-invariant of the injection power according to the central moments of each order of the node injection power and the relation between the semi-invariant and the central moments;
3) calculating the semi-invariants of the node state variables and the semi-invariants of the line state variables according to the semi-invariants of each order of the node injection power, the sensitivity matrix and the transfer matrix;
4) and performing Gram-Charlie series expansion on the obeyed distribution of the state variable according to the semi-invariant of the state variable, and then performing translation and stretching operations to obtain the probability density and the probability distribution function of the state variable.
The flow of the simulation method (for example, monte carlo simulation method) in the probabilistic power flow calculation is as follows:
1) sampling the outage capacity of the power distribution network according to a general outage table of the power distribution network, and completing sampling of the outage tables of all the power distribution networks once to obtain a power distribution network planning scene;
2) performing deterministic load flow calculation on a power grid planning scene, and acquiring a sample point in state quantity probability distribution every time the deterministic load flow calculation is completed;
3) and fitting the probability function of the state quantity according to the obtained plurality of sample points to obtain the probability distribution condition of the state quantity such as node voltage, branch power and the like.
And thirdly, obtaining evaluation indexes such as safety, reliability, economy and the like commonly used in power grid planning through probability load flow calculation, such as 'N-1' check (safety), such as electric quantity shortage expected value, power supply reliability (reliability), such as construction economy and operation economy (economy) indexes, so as to evaluate a power grid planning scheme. The specific evaluation index acquisition and evaluation process can be referred to the methods described in the literature. For example, "zeyan, comprehensive evaluation method for power grid planning research and application [ D ]. tianjin university.2008".

Claims (6)

1. A power transmission and distribution network coordinated planning method based on power distribution network equivalence is characterized in that: the method comprises the following steps:
1) establishing a power distribution network equivalent model based on a universal outage table;
2) performing probability load flow calculation on the power transmission network side by adopting an analytical method or a simulation method, wherein in the probability load flow calculation, a corresponding power distribution network is equivalent to an input variable or a random factor calculated in the probability load flow calculation according to a power distribution network equivalent model;
3) acquiring a required power transmission network planning evaluation index according to a probability load flow calculation result, and evaluating a power network planning scheme according to the evaluation index;
the step 1) specifically comprises the following steps: calculating outage capacity and corresponding probability distribution of the power distribution network side according to an output characteristic curve of renewable energy sources at the power distribution network side and a power demand curve of a load to obtain an equivalent model of the power distribution network;
the distribution network equivalent model comprises equivalent distribution network outage capacity determined according to discretized outage capacity distribution
Figure FDA0002234489830000011
And corresponding exact probability PiAnd cumulative probability Pi *(ii) a Cumulative probability Pi *The shutdown capacity is not less than
Figure FDA0002234489830000012
Is a probability of, exactly, PiTo make the outage capacity equal to
Figure FDA0002234489830000013
Probability of (c):
Figure FDA0002234489830000014
Figure FDA0002234489830000015
wherein i is 0,1, …, n, n +1 is the state number of the outage capacity of the distribution network after the equivalence,
Figure FDA0002234489830000016
representing a power distribution grid outage capacity variable.
2. The power transmission and distribution network equivalent value-based power transmission and distribution network coordination planning method according to claim 1, characterized in that: the flow of the analytic method in the probabilistic power flow calculation comprises the following steps: and calculating the central moments of each order of the node injection power according to the probability distribution of the outage capacity in the equivalent model of the power distribution network and the probability characteristics of the generator set on the power transmission network side.
3. The power transmission and distribution network equivalent value-based power transmission and distribution network coordination planning method according to claim 2, characterized in that: the flow of the analytic method in the probabilistic power flow calculation further comprises the following steps:
2.1.1) calculating corresponding order semi-invariant of the node injection power according to each order central moment of the node injection power and the relation between the semi-invariant and the central moment;
2.1.2) calculating the semi-invariant of the node state variable and the semi-invariant of the line state variable according to the semi-invariant of each order of the node injection power;
2.1.3) according to the semi-invariants of the node state variables and the semi-invariants of the line state variables obtained in the step 2.1.2), performing Gram-Charlier series expansion on distribution obeyed by each semi-invariant, and then obtaining probability density functions and probability distribution functions of each state variable.
4. The power transmission and distribution network equivalent value-based power transmission and distribution network coordination planning method according to claim 1, characterized in that: the process of the simulation method in the probability load flow calculation comprises the following steps: sampling outage capacity of a power distribution network side and random factors of a power transmission network side, and obtaining a power grid planning scene after one-time sampling.
5. The power transmission and distribution network equivalent value-based power transmission and distribution network coordination planning method according to claim 4, characterized in that: the process of the simulation method in the probability load flow calculation further comprises the following steps:
2.2.1) carrying out deterministic load flow calculation on all the obtained power grid planning scenes, and obtaining a sample point in state quantity probability distribution after each time of completing the deterministic load flow calculation;
2.2.2) fitting the probability density function of the state quantity according to all the obtained sample points, and further obtaining the probability distribution condition of the state quantity.
6. The power transmission and distribution network equivalent value-based power transmission and distribution network coordination planning method according to claim 1, characterized in that: the evaluation index is selected from safety, reliability or economic index.
CN201710667896.2A 2017-08-07 2017-08-07 Power transmission and distribution network coordinated planning method based on power distribution network equivalence Active CN107332239B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710667896.2A CN107332239B (en) 2017-08-07 2017-08-07 Power transmission and distribution network coordinated planning method based on power distribution network equivalence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710667896.2A CN107332239B (en) 2017-08-07 2017-08-07 Power transmission and distribution network coordinated planning method based on power distribution network equivalence

Publications (2)

Publication Number Publication Date
CN107332239A CN107332239A (en) 2017-11-07
CN107332239B true CN107332239B (en) 2020-04-21

Family

ID=60226343

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710667896.2A Active CN107332239B (en) 2017-08-07 2017-08-07 Power transmission and distribution network coordinated planning method based on power distribution network equivalence

Country Status (1)

Country Link
CN (1) CN107332239B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110460041A (en) * 2019-07-16 2019-11-15 南方电网科学研究院有限责任公司 Power distribution network power supply capacity analysis system, method and computer readable storage medium
CN110445131B (en) * 2019-07-25 2020-11-10 清华大学 Power transmission and distribution network coordinated planning method considering power distribution network equivalence optimization
CN112069666B (en) * 2020-08-25 2022-11-29 贵州大学 Power grid short-term reliability evaluation method based on probabilistic power flow method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104376410A (en) * 2014-11-06 2015-02-25 国家电网公司 Planning method for distributed power source in power distribution network
CN104751246A (en) * 2015-04-09 2015-07-01 国网宁夏电力公司经济技术研究院 Active distribution network planning method based on stochastic chance constraint
CN105141464A (en) * 2015-09-24 2015-12-09 国网上海市电力公司 Grid structure planning method for coordinated power transmission and distribution

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104376410A (en) * 2014-11-06 2015-02-25 国家电网公司 Planning method for distributed power source in power distribution network
CN104751246A (en) * 2015-04-09 2015-07-01 国网宁夏电力公司经济技术研究院 Active distribution network planning method based on stochastic chance constraint
CN105141464A (en) * 2015-09-24 2015-12-09 国网上海市电力公司 Grid structure planning method for coordinated power transmission and distribution

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于随机机会约束规划的有源配电网多目标规划;屈高强等;《电力建设》;20151130;第36卷(第11期);第10～16页 *
新型负荷接入环境下的配电网分布式电源规划;王宸等;《水电能源科学》;20150831;第33卷(第8期);第178～182、155页 *

Also Published As

Publication number Publication date
CN107332239A (en) 2017-11-07

Similar Documents

Publication Publication Date Title
Chen et al. Reliability evaluation of distribution systems with mobile energy storage systems
CN108306285B (en) Reliability evaluation method for active power distribution network containing distributed power supply based on TOPSIS method
CN107332239B (en) Power transmission and distribution network coordinated planning method based on power distribution network equivalence
CN109494719B (en) Hierarchical impedance analysis method for medium-low voltage hybrid power distribution network
KR20120137612A (en) Optimization system and method of power distribution system using power flow calculation
CN104882884A (en) System harmonic probability evaluating method based on Markov chain Monte Carlo method
CN103887792B (en) A kind of low-voltage distribution network modeling method containing distributed power source
CN104104081A (en) Non-iterative uncertain load flow analysis method based on optimization method
CN104701858A (en) Reactive voltage control method considering dynamic reactive power reserves of partitions
CN102664398B (en) Maximum power supply capability computation method based on N-1 approximation
CN106056305A (en) Power generation system reliability rapid assessment method based on state clustering
Li et al. A fast method for reliability evaluation of ultra high voltage AC/DC system based on hybrid simulation
Faranda et al. SCADA system for optimization of energy exchange with the BESS in a residential case
CN111835003A (en) Method and system for calculating theoretical line loss of medium-voltage distribution network in real time under multi-power-supply power supply
CN106485392A (en) Reliability of Interconnected Generating System appraisal procedure
Pagnetti et al. Probabilistic methods moving towards the field: a tool for DG connection studies featuring the alternatives to grid reinforcement
Han et al. An assessment approach of the power system vulnerability considering the uncertainties of wind power integration
Wu et al. A new approach combing connection number and fuzzy simulation to calculating power flow of distribution network considering uncertainty
CN111126772A (en) Method and system for simulating balance of electric power spot market
Zhang et al. Optimization of wind power configuration in distribution network based on scenario clustering and power flow entropy
Gong et al. Distribution Networks Operational Risk Assessment Method Considering the Uncertainties of Renewable Energy
CN106383954A (en) Method for pre-evaluating line loss of electric power system
Mohapatra et al. Unified boundary and probabilistic power flow
Petean-Pina et al. Effect of wind generation uncertainty on voltage stability-a singular value analysis
CN115017735B (en) Multi-agent probability voltage stability calculation method for high-dimensional system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20210826

Address after: 510663 3 building, 3, 4, 5 and J1 building, 11 building, No. 11, Ke Xiang Road, Luogang District Science City, Guangzhou, Guangdong.

Patentee after: China Southern Power Grid Research Institute Co.,Ltd.

Patentee after: XI'AN JIAOTONG University

Address before: 510623 Guangdong city of Guangzhou province Tianhe District Pearl River Metro Chinese Sui Road No. 6

Patentee before: CSG POWER GRID TECHNOLOGY RESEARCH CENTER

Patentee before: XI'AN JIAOTONG University

Patentee before: China Southern Power Grid Research Institute Co.,Ltd.