CN112510683B - Incremental power distribution network flexible resource allocation method considering source load uncertainty - Google Patents

Incremental power distribution network flexible resource allocation method considering source load uncertainty Download PDF

Info

Publication number
CN112510683B
CN112510683B CN202011268515.1A CN202011268515A CN112510683B CN 112510683 B CN112510683 B CN 112510683B CN 202011268515 A CN202011268515 A CN 202011268515A CN 112510683 B CN112510683 B CN 112510683B
Authority
CN
China
Prior art keywords
distribution network
power distribution
load
energy storage
incremental
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
CN202011268515.1A
Other languages
Chinese (zh)
Other versions
CN112510683A (en
Inventor
汤涤非
董晨景
李晶
林哲敏
季超
何川
王恺
张伟时
李雅婷
唐家俊
李金城
张智
林振智
杨莉
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.)
Anhui Electric Power Trading Center Co ltd
Zhejiang University ZJU
Original Assignee
Anhui Electric Power Trading Center Co ltd
Zhejiang University ZJU
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 Anhui Electric Power Trading Center Co ltd, Zhejiang University ZJU filed Critical Anhui Electric Power Trading Center Co ltd
Priority to CN202011268515.1A priority Critical patent/CN112510683B/en
Publication of CN112510683A publication Critical patent/CN112510683A/en
Application granted granted Critical
Publication of CN112510683B publication Critical patent/CN112510683B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/002—Flicker reduction, e.g. compensation of flicker introduced by non-linear load
    • 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • 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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • 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
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • 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]

Abstract

The invention discloses a flexible resource allocation method of an incremental power distribution network considering source load uncertainty, and belongs to the technical field of power systems. The method comprises the following steps: constructing an incremental power distribution network interruptible load compensation model by considering a user interruptible load response curve; constructing an incremental power distribution network energy storage configuration model by considering energy storage safe operation constraint; and (3) representing uncertainty of distributed power sources and loads in the incremental power distribution network by multiple scenes, constructing an incremental power distribution network flexible resource joint configuration model, and solving the model. The invention models the demand side response and energy storage configuration of an incremental power distribution network and provides a method for jointly configuring interruptible load and energy storage in the incremental power distribution network.

Description

Incremental power distribution network flexible resource allocation method considering source load uncertainty
Technical Field
The invention relates to the technical field of power systems, in particular to a flexible resource allocation method of an incremental power distribution network considering source load uncertainty.
Background
The release of the incremental power distribution and electricity selling side business is an important task for reform of a new round of electric power system in China, and is also an important measure for constructing the competitive ordered electricity selling side market and improving the investment and operation efficiency of the power distribution network. 10 months in 2016, the national issuing and modifying principal and the energy bureau issue a management method for orderly releasing the power distribution network business and a management method for admitting and exiting the power selling company for the first time, and release the power distribution network investment business to the social capital. By the end of 2019, 4 batches of 404 incremental power distribution service reform test points are started all over the country.
There are a large number of distributed power sources in the area of the incremental power distribution network, and due to the double uncertainty of DG and load, the steady operation of the incremental power distribution network has a certain pressure. Along with the large-scale application of intelligent control and two-way communication technology at the user side, energy storage and demand side response become effective ways for stabilizing source load fluctuation and improving operation stability of the incremental power distribution network. How to reasonably configure energy storage and demand side response resources and to improve the running stability of an incremental power distribution network as much as possible under the condition of ensuring the lowest cost is a problem to be researched.
Disclosure of Invention
The invention provides a flexible resource allocation method of an incremental power distribution network, which considers source load uncertainty. The method considers a user interrupt load response curve to construct an incremental power distribution network interruptible load compensation model; constructing an incremental power distribution network energy storage configuration model by considering energy storage safe operation constraint; and (3) representing uncertainty of distributed power sources and loads in the incremental power distribution network by multiple scenes, and constructing an incremental power distribution network flexible resource joint configuration model. And solving the planning model to obtain a configuration and scheduling scheme of the interruptible load and energy storage of the incremental power distribution network, and providing technical guidance for planning and scheduling of the incremental power distribution network.
The technical scheme adopted for solving the technical problems is as follows:
a flexible resource allocation method of an incremental power distribution network considering source load uncertainty comprises the following steps:
step 1: constructing an incremental power distribution network interruptible load compensation model by considering a user interruptible load response curve;
step 2: constructing an incremental power distribution network energy storage configuration model by considering energy storage safe operation constraint;
step 3: and (3) representing uncertainty of distributed power sources and loads in the incremental power distribution network by multiple scenes, constructing an incremental power distribution network flexible resource joint configuration model, and solving the model.
In the above technical solution, further, step 1 builds an incremental power distribution network interruptible load compensation model by considering a user interrupt load response curve, and the specific implementation method is as follows:
the interruptible load is an effective way for stabilizing random fluctuation of source load and improving operation stability of the incremental power distribution network. The incremental power distribution network needs to be provided with interruptible loads with certain capacity in advance, and communication equipment and control equipment are arranged at the user side so as to realize real-time control of the interruptible loads, and the loads are directly interrupted when power is short. The cost of the interruptible load of the incremental power distribution network configuration comprises a capacity cost and a power quantity cost, wherein the capacity cost is used for purchasing the interruptible load capacity in one year, and the power quantity cost refers to compensation paid to a user after calling the interruptible load in operation. Incremental power distribution network configuration interruptible load total cost C IL Is that
In the method, in the process of the invention,purchasing a unit price for the capacity of the interruptible load; />The interruptible load capacity configured for the incremental power distribution network; />The unit price is compensated for the electric quantity of the interruptible load in the period t; />Is the amount of interrupted load in period t under scene s. Omega s Probability of being scene s; s is the total scene number; t is the total scheduling period number; Δt is the duration of the scheduling period;
typically, the charge compensation unit price affects the amount of load the user can respond to the interrupt. As shown in fig. 2, the response curve of the user is divided into a dead zone, a linear zone, and a saturation zone. When the compensation unit price is lower than the dead zone threshold value, the user is reluctant to interrupt the load; above the threshold, the user starts to respond to the interruption, and within a certain range, the load amount of the interruption of the user increases linearly with the increase of the compensation unit price; beyond a certain upper limit, the user's ability to interrupt the load tends to saturate, and there is no more interruptible capacity.
Based on this, the capacity coefficient lambda can be reduced IL To describe the response degree of the interruptible load to the power failure compensation price, which means that the proportion of the interrupted load quantity in a certain period of time to the interruptible load capacity, lambda IL The expression of (2) is
In the method, in the process of the invention,and->The dead zone threshold value and the saturation zone threshold value of the interruptible load user response curve are respectively; η (eta) IL Is the slope of the interruptible load linear region.
Furthermore, the step 2 is to construct an incremental power distribution network energy storage configuration model by considering the constraint of energy storage safe operation, and the specific implementation method is as follows:
the energy storage response speed is fast, the charge-discharge conversion is fast, fluctuation of a distributed power supply and load can be effectively stabilized, in addition, the incremental power distribution network can control energy storage charging when electric quantity is abundant, and the energy storage discharging is controlled when the electric quantity is short, so that energy transfer on a time axis is realized. Several important parameters of the energy storage device are rated power P ess Rated capacity E ess State of charge S. Rated power refers to the maximum power of the charge and discharge of the energy storage device, rated capacity refers to the maximum electric quantity which can be stored by the energy storage device, and the state of charge refers to the proportion of the electric quantity of the energy storage device at the current moment to the rated capacity. State of charge S of stored energy at time t t Charge/discharge power at this time and state of charge S at the previous time t-1 In relation, the expression is
Wherein eta is cha And eta dis Respectively representing the charge and discharge efficiency of the stored energy. P (P) t cha And P t dis Respectively charging and discharging power at the time t of energy storage;
considering the service life and safety of the energy storage equipment, the energy storage needs to meet the following constraint in operation:
0≤P t cha ≤P ess
0≤P t dis ≤P ess
S min ≤S t ≤S max
wherein S is min And S is max Respectively the upper and lower limits of the stored charge state.
Compared with the interruptible load, the energy storage investment cost is higher than the interruptible load capacity cost, but the electricity loss cost during operation is lower than the electricity cost. Incremental power distribution network configuration energy storage cost C ess Is that
Wherein, c ess 、Respectively the fixed investment cost, the unit capacity investment cost and the unit power investment cost of energy storage; a is that ess Is an annual equivalent coefficient of energy storage investment cost.
Furthermore, step 3 characterizes uncertainty of distributed power sources and loads in the incremental power distribution network by multiple scenes, builds an incremental power distribution network flexible resource joint configuration model, solves the model, and specifically realizes the following steps:
firstly, an incremental power distribution network electricity purchasing model under an electricity market environment is constructed, and most provinces establish a medium-long-term electricity market and develop marketization transactions since a new round of electricity system reforms. In order to promote the transition from the middle-long-term market to the spot market, a market trading mode using an electric power curve as a trading target is proposed, and three common curves are involved: peak Gu Ping curve, average over the day curve and peak period curve, as shown in fig. 3. The peak Gu Ping curve divides a day into peak sections, flat sections and valley sections, and the electric quantity ratio of different time periods is given; the electric quantity of each period of the average curve of all the days is the same; the peak time curve 9:00-17:00 is equal in electric quantity, and the other electric quantity is zero. The incremental power distribution network needs to reasonably arrange the purchasing proportion of three types of curves according to regional load characteristics, so that the purchasing power curve fits the load curve as much as possible. Cost of electricity purchasing of incremental distribution networkC con Is that
Wherein I is the number of curve types purchased by the incremental power distribution network; t is the number of scheduling periods of a day; c i,t The price is the time period of the ith curve t; beta i,t The ratio of the electric quantity of the ith curve t period to the total electric quantity of the curve is as follows;and purchasing the total electric quantity of the ith class curve for the incremental power distribution network.
Because of uncertainty of distributed power sources and loads, the electricity purchasing curve and the load curve of the incremental power distribution network are inevitably deviated, when the incremental power distribution network has electricity shortage/surplus, positive/negative standby of the power network is needed, and the cost is paid to a power network company:
wherein C is non The cost paid to the grid company for the incremental distribution network; c u And c v The unit price is respectively positive/negative standby of the power grid;and increasing the deviation electric quantity of the power distribution network in a period t under a scene s.
f (x) is a piecewise function, satisfying
To facilitate the handling of f (x), 2 non-negative relaxation variables u are introduced s,t 、v s,t Order-makingObviously u s,t /v s,t Substantial, i.e. incremental, distribution networks under scene sThe shortage/surplus electric quantity in the period t is converted into C non The expression of (2) is
How to improve the running stability of the distribution network as much as possible with the minimum cost is a key for planning the incremental distribution network. Decision variables for incremental power distribution network flexible resource allocation model includeE ess And P ess The objective function is
min C con +C IL +C ess +C non
In addition to constraints for safe operation of the energy storage, constraints for the model include:
1) Power balance constraint
Wherein P is t buy The power purchasing power in the period t of the incremental power distribution network;and->The output of the wind and light in a period t under a scene s is given; />And->Respectively within the period t under the scene sCharging and discharging power of the stored energy; />Is the load in period t under scene s.
2) Interruptible load constraints, i.e. the amount of load per interruption does not exceed the purchased interruptible load capacity.
The beneficial effects of the invention are as follows:
firstly, the method considers a user interrupt load response curve and constructs an incremental power distribution network interruptible load compensation model;
secondly, the method fully utilizes interruptible load and energy storage to stabilize the fluctuation of the distributed power supply and the load, and improves the running stability level of the incremental power distribution network;
thirdly, the method is easy to operate, provides a scheme for realizing regional power and electricity balance by utilizing flexible resources for the incremental power distribution network, and has a certain practical significance.
Drawings
FIG. 1 is a schematic overall flow chart of the present invention.
FIG. 2 is an interruptible load user response curve.
FIG. 3 is a schematic diagram of three types of curves.
Fig. 4 illustrates the operation of the incremental power distribution network in a certain scenario.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the present patent; it will be appreciated by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted. The positional relationship depicted in the drawings is for illustrative purposes only and is not to be construed as limiting the present patent.
Fig. 1 is a schematic overall flow chart of the present invention. The invention relates to a flexible resource allocation method of an incremental power distribution network, which considers source load uncertainty, and the implementation process comprises the following steps:
step 1: and constructing an incremental power distribution network interruptible load compensation model by considering the user interruptible load response curve. The specific implementation method of the steps is as follows:
the interruptible load is an effective way for stabilizing random fluctuation of source load and improving operation stability of the incremental power distribution network. The incremental power distribution network needs to be provided with interruptible loads with certain capacity in advance, and communication equipment and control equipment are arranged at the user side so as to realize real-time control of the interruptible loads, and the loads are directly interrupted when power is short. The cost of the interruptible load of the incremental power distribution network configuration comprises a capacity cost and a power quantity cost, wherein the capacity cost is used for purchasing the interruptible load capacity in one year, and the power quantity cost refers to compensation paid to a user after calling the interruptible load in operation. Incremental power distribution network configuration interruptible load total cost C IL Is that
In the method, in the process of the invention,purchasing a unit price for the capacity of the interruptible load; />The interruptible load capacity configured for the incremental power distribution network; />The unit price is compensated for the electric quantity of the interruptible load in the period t; />Is the amount of interrupted load in period t under scene s.
Typically, the charge compensation unit price affects the amount of load that the user responds to the interrupt. As shown in fig. 2, the response curve of the user is divided into a dead zone, a linear zone, and a saturation zone. When the compensation unit price is lower than the dead zone threshold value, the user is reluctant to interrupt the load; above the threshold, the user starts to respond to the interruption, and within a certain range, the load amount of the interruption of the user increases linearly with the increase of the compensation unit price; beyond a certain upper limit, the user's ability to interrupt the load tends to saturate, and there is no more interruptible capacity.
To cut down the capacity coefficient lambda IL To describe how responsive the interruptible load is to the blackout compensation price, meaning that the amount of load interrupted for a certain period of time is proportional to the interruptible load capacity. Lambda (lambda) IL The expression of (2) is
In the method, in the process of the invention,and->The dead zone threshold value and the saturation zone threshold value of the interruptible load user response curve are respectively; η (eta) IL Is the slope of the interruptible load linear region.
Step 2: and constructing an incremental power distribution network energy storage configuration model by considering the constraint of energy storage safe operation. The specific implementation method of the steps is as follows:
the energy storage response speed is high, the charge-discharge conversion is rapid, and the fluctuation of the distributed power supply and the load can be effectively stabilized. In addition, the increment distribution network can control energy storage to charge when the electric quantity is abundant, and control energy storage to discharge when the electric quantity is short, so that energy transfer on a time axis is realized. Several important parameters of the energy storage device are rated power P ess Rated capacity E ess State of charge S. Rated power refers to the maximum power of the charge and discharge of the energy storage device, rated capacity refers to the maximum electric quantity which can be stored by the energy storage device, and the state of charge refers to the proportion of the electric quantity of the energy storage device at the current moment to the rated capacity. State of charge S of stored energy at time t t Charge/discharge power at this time and state of charge S at the previous time t-1 In relation, the expression is
Wherein eta is cha And eta dis Respectively representing the charge and discharge efficiency of the stored energy.
Considering the service life and safety of the energy storage equipment, the energy storage needs to meet the following constraint in operation:
0≤P t cha ≤P ess
0≤P t dis ≤P ess
S min ≤S t ≤S max
wherein S is min And S is max Respectively the upper and lower limits of the stored charge state.
Compared with the interruptible load, the energy storage investment cost is higher than the interruptible load capacity cost, but the electricity loss cost during operation is lower than the electricity cost. Incremental power distribution network configuration energy storage cost C ess Is that
Wherein, c ess 、Respectively the fixed investment cost, the unit capacity investment cost and the unit power investment cost of energy storage; a is that ess Is an annual equivalent coefficient of energy storage investment cost.
Step 3: and (3) adopting multiple scenes to describe uncertainty of distributed power sources and loads in the incremental power distribution network, constructing an incremental power distribution network flexible resource joint configuration model, and solving the model. The specific implementation method of the steps is as follows:
firstly, an incremental power distribution network electricity purchasing model under an electricity market environment is constructed, and most provinces establish a medium-long-term electricity market and develop marketization transactions since a new round of electricity system reforms. To promote the transition from the medium-and-long-term market to the spot market, a method for trading by using an electric power curve is proposedThe target market trading mode relates to three common curves: peak Gu Ping curve, average over the day curve and peak period curve, as shown in fig. 3. The peak Gu Ping curve divides a day into peak sections, flat sections and valley sections, and the electric quantity ratio of different time periods is given; the electric quantity of each period of the average curve of all the days is the same; the peak time curve 9:00-17:00 is equal in electric quantity, and the other electric quantity is zero. The incremental power distribution network needs to reasonably arrange the purchasing proportion of three types of curves according to regional load characteristics, so that the purchasing power curve fits the load curve as much as possible. Purchase cost C of incremental power distribution network con Is that
Wherein I is the number of curve types purchased by the incremental power distribution network; t is the number of scheduling periods of a day; beta i,t The ratio of the electric quantity of the ith curve t period to the total electric quantity of the curve is as follows;and purchasing the total electric quantity of the ith class curve for the incremental power distribution network.
Because of uncertainty of distributed power sources and loads, the electricity purchasing curve and the load curve of the incremental power distribution network are inevitably deviated, when the incremental power distribution network has electricity shortage/surplus, positive/negative standby of the power network is needed, and the cost is paid to a power network company:
wherein C is non The cost paid to the grid company for the incremental distribution network; c u And c v The unit price is respectively positive/negative standby of the power grid;and increasing the deviation electric quantity of the power distribution network in a period t under a scene s.
f (x) is a piecewise function, satisfying
To facilitate the handling of f (x), 2 non-negative relaxation variables u are introduced s,t 、v s,t Order-makingObviously u s,t /v s,t The essence is the deficiency/surplus electric quantity of the incremental power distribution network in the period t under the scene s, and C is converted non The expression of (2) is
How to improve the running stability of the distribution network as much as possible with the minimum cost is a key for planning the incremental distribution network. Decision variables for incremental power distribution network flexible resource allocation model includeE ess And P ess The objective function is
min C con +C IL +C ess +C non
In addition to constraints for safe operation of the energy storage, constraints for the model include:
1) Power balance constraint
Wherein P is t buy The power purchasing power in the period t of the incremental power distribution network;and->The output of the wind and light in a period t under a scene s is given; />And->Respectively charging and discharging power of energy storage in a period t under a scene s; />Is the load in period t under scene s.
2) Interruptible load constraints, i.e. the amount of load per interruption does not exceed the purchased interruptible load capacity.
The invention will be further illustrated with reference to specific examples.
And selecting relevant data such as wind power, photovoltaic and load of an incremental power distribution network of a certain area to carry out simulation analysis on the model, wherein the total load of the area is 60MW, the interruptible capacity is 5MW, the installed capacity of wind power is 10MW, the installed capacity of photovoltaic is 15MW, and the scheduling period T=24. Interruptible load capacity purchase unit priceThe dead zone threshold and the saturation zone threshold of the user response curve are 300 yuan/MWh and 800 yuan/MWh, respectively. The energy storage charge and discharge efficiency is 0.9, the upper and lower limits of the charge state are 0.1 and 0.9 respectively, and the annual equivalent coefficient A ess ＝0.149。
And solving the flexible resource joint configuration model of the incremental power distribution network to obtain the interruptible load capacity of 2.29MW, the energy storage capacity of 3.98MWh and the energy storage power of 1.37MW of the incremental power distribution network. The purchase amount of the three types of curves in one year of the incremental power distribution network is 65807MWh, 99412MWh and 7845MWh respectively. Fig. 4 is an operation condition of the incremental power distribution network in a certain scene, wherein an actual load is obtained after the wind-light output is subtracted from an original load. The night load is lower, the energy storage is always in a charging state from 1:00 to 4:00, and the capacity upper limit is reached at 4:00. The 5:00-7:00 increment distribution network cannot consume redundant electricity purchasing quantity, and negative deviation is generated. 8:00 and 18:00-19:00 are normal times, but the load is higher, and the incremental power distribution network calls interruptible load in the two time periods. Fluctuations in load 9:00-17:00 are substantially accounted for by stored energy charging and discharging, producing negative deviations at 12:00 and 17:00. The load of 21:00-24:00 is low, the energy storage is limited by the maximum charging power of 1.37MW, all negative deviations cannot be absorbed, and the incremental power distribution network uses the power grid for negative standby. The incremental power distribution network can interrupt load and store energy through scheduling, so that deviation between a power purchase curve and a load curve is reduced, and the running stability of the power distribution network is improved.
It is to be understood that the above examples are provided for the purpose of clearly illustrating the present invention and are not to be construed as limiting the embodiments of the present invention. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are desired to be protected by the following claims.

Claims (3)

1. The incremental power distribution network flexible resource allocation method considering source load uncertainty is characterized by comprising the following steps of:
step 1: constructing an incremental power distribution network interruptible load compensation model by considering a user interruptible load response curve;
step 2: constructing an incremental power distribution network energy storage configuration model by considering energy storage safe operation constraint;
step 3: characterizing uncertainty of distributed power sources and loads in the incremental power distribution network by multiple scenes, constructing an incremental power distribution network flexible resource joint configuration model, and solving the model;
in the step 1, the specific method for constructing the incremental power distribution network interruptible load compensation model by considering the user interrupt load response curve is as follows:
the incremental power distribution network needs to be provided with interruptible loads with certain capacity in advance, and communication equipment and control equipment are arranged at a user side to realize real-time control of the interruptible loads, and the loads are directly interrupted when power is short; incremental power distribution network configuration interruptible load total cost C IL Is that
In the method, in the process of the invention,purchasing a unit price for the capacity of the interruptible load; />The interruptible load capacity configured for the incremental power distribution network;the unit price is compensated for the electric quantity of the interruptible load in the period t; />Is the amount of load interrupted during period t under scene s; omega s Probability of being scene s; s is the total scene number; t is the total scheduling period number; Δt is the duration of the scheduling period;
dead zone, linear zone and saturation zone of user interrupt load response curve to cut capacity coefficient lambda IL Representing the response degree of the interruptible load to the power failure compensation price, which means that the proportion of the interrupted load quantity in a certain period of time to the interruptible load capacity is represented by lambda IL The expression of (2) is
In the method, in the process of the invention,and->The dead zone threshold value and the saturation zone threshold value of the interruptible load user response curve are respectively; η (eta) IL Is the slope of the interruptible load linear region.
2. The incremental power distribution network flexible resource allocation method considering source load uncertainty as claimed in claim 1, wherein: the specific method for constructing the incremental power distribution network energy storage configuration model by considering the constraint of energy storage safe operation in the step 2 is as follows:
the energy storage response speed is high, the charge-discharge conversion is rapid, the fluctuation of a distributed power supply and a load can be effectively stabilized, the energy storage and the charge are controlled when the electric quantity of the incremental power distribution network is abundant, the energy storage and the discharge are controlled when the electric quantity is short, and the energy transfer on a time axis is realized; state of charge S of stored energy at time t t Charge/discharge power at this time and state of charge S at the previous time t-1 In relation, the expression is
Wherein eta is cha And eta dis Respectively representing the charge and discharge efficiency of the stored energy; e (E) ess Is the rated capacity of the energy storage device; p (P) t cha And P t dis Respectively charging and discharging power at the time t of energy storage;
considering the service life and safety of the energy storage equipment, the energy storage needs to meet the following constraint in operation:
0≤P t cha ≤P ess
0≤P t dis ≤P ess
S min ≤S t ≤S max
wherein S is min And S is max Respectively the upper limit and the lower limit of the charge state of the stored energy, P ess Rated power for the energy storage device;
incremental power distribution network configuration energy storage cost C ess Is that
Wherein, c ess 、Respectively the fixed investment cost, the unit capacity investment cost and the unit power investment cost of energy storage; a is that ess Is an annual equivalent coefficient of energy storage investment cost.
3. The incremental power distribution network flexible resource allocation method considering source load uncertainty as claimed in claim 2, wherein: in the step 3, uncertainty of distributed power sources and loads in the incremental power distribution network is represented by multiple scenes, an incremental power distribution network flexible resource joint configuration model is constructed, and the specific method for solving the model is as follows:
the incremental power distribution network needs to reasonably arrange the purchase proportion of three types of curves, namely a peak Gu Ping curve, an average curve throughout the day and a peak period curve according to regional load characteristics, so that the power purchase curve fits the load curve as much as possible; purchase cost C of incremental power distribution network con Is that
Wherein I is the number of curve types purchased by the incremental power distribution network; t is the number of scheduling periods of a day; c i,t The price is the time period of the ith curve t; beta i,t The ratio of the electric quantity of the ith curve t period to the total electric quantity of the curve is as follows;purchasing the total electric quantity of the ith class curve for the incremental power distribution network;
when the incremental distribution network has electricity shortage/surplus, the positive/negative backup of the power grid is needed to be used, and the charge is paid to the power grid company:
wherein C is non The cost paid to the grid company for the incremental distribution network; c u And c v The unit price is respectively positive/negative standby of the power grid;the deviation electric quantity of the incremental power distribution network in a period t under a scene s;
f (x) is a piecewise function, satisfying
To facilitate the handling of f (x), 2 non-negative relaxation variables u are introduced s,t 、v s,t Order-makingObviously u s,t /v s,t The essence is the deficiency/surplus electric quantity of the incremental power distribution network in the period t under the scene s, and C is converted non The expression of (2) is
Decision variables for incremental power distribution network flexible resource allocation model includeE ess And P ess The objective function is
min C con +C IL +C ess +C non
In addition to constraints for safe operation of the energy storage, constraints for the model include:
1) Power balance constraint
Wherein P is t buy The power purchasing power in the period t of the incremental power distribution network;and->The output of the wind and light in a period t under a scene s is given; />And->Respectively charging and discharging power of energy storage in a period t under a scene s; />Is the load in period t under scene s;
2) Interruptible load constraints, i.e. the amount of load per interruption does not exceed the purchased interruptible load capacity:
CN202011268515.1A 2020-11-13 2020-11-13 Incremental power distribution network flexible resource allocation method considering source load uncertainty Active CN112510683B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011268515.1A CN112510683B (en) 2020-11-13 2020-11-13 Incremental power distribution network flexible resource allocation method considering source load uncertainty

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011268515.1A CN112510683B (en) 2020-11-13 2020-11-13 Incremental power distribution network flexible resource allocation method considering source load uncertainty

Publications (2)

Publication Number Publication Date
CN112510683A CN112510683A (en) 2021-03-16
CN112510683B true CN112510683B (en) 2023-10-13

Family

ID=74957493

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011268515.1A Active CN112510683B (en) 2020-11-13 2020-11-13 Incremental power distribution network flexible resource allocation method considering source load uncertainty

Country Status (1)

Country Link
CN (1) CN112510683B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113488999A (en) * 2021-07-08 2021-10-08 广东电网有限责任公司 Standby configuration method, system, equipment and medium for two running sides of power system
CN114268097B (en) * 2021-12-28 2023-12-19 国网上海市电力公司 Analysis method and system for influence of access of user side energy management system on power distribution network

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107274087A (en) * 2017-06-09 2017-10-20 燕山大学 One kind meter and the probabilistic active distribution network bi-level programming method of Demand Side Response
CN107706923A (en) * 2017-10-27 2018-02-16 云南电网有限责任公司 A kind of load active management method suitable for active distribution network
CN108734350A (en) * 2018-05-17 2018-11-02 燕山大学 A kind of independent method for solving with combined dispatching of the power distribution network containing micro-capacitance sensor
CN109474013A (en) * 2018-12-12 2019-03-15 天津大学 The increment power distribution network of the distributed photovoltaic containing Thief zone Optimization Scheduling a few days ago
CN110135761A (en) * 2019-05-27 2019-08-16 国网河北省电力有限公司沧州供电分公司 For power demand side response Load Regulation method of commerce, system and terminal device
CN111222713A (en) * 2020-01-17 2020-06-02 上海电力大学 Park energy Internet optimization operation method considering response behavior uncertainty

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107274087A (en) * 2017-06-09 2017-10-20 燕山大学 One kind meter and the probabilistic active distribution network bi-level programming method of Demand Side Response
CN107706923A (en) * 2017-10-27 2018-02-16 云南电网有限责任公司 A kind of load active management method suitable for active distribution network
CN108734350A (en) * 2018-05-17 2018-11-02 燕山大学 A kind of independent method for solving with combined dispatching of the power distribution network containing micro-capacitance sensor
CN109474013A (en) * 2018-12-12 2019-03-15 天津大学 The increment power distribution network of the distributed photovoltaic containing Thief zone Optimization Scheduling a few days ago
CN110135761A (en) * 2019-05-27 2019-08-16 国网河北省电力有限公司沧州供电分公司 For power demand side response Load Regulation method of commerce, system and terminal device
CN111222713A (en) * 2020-01-17 2020-06-02 上海电力大学 Park energy Internet optimization operation method considering response behavior uncertainty

Also Published As

Publication number Publication date
CN112510683A (en) 2021-03-16

Similar Documents

Publication Publication Date Title
CN109301849B (en) Energy management combination control strategy for user-side battery energy storage power station
CN111049198B (en) Wind-storage combined operation optimization method and system considering energy storage life and frequency modulation performance
CN109492824B (en) Distributed wind storage system optimization method considering source-network-load multi-party benefits
CN101510686A (en) Micro electric network coordination control system based on multi-proxy technology
CN110783959B (en) New forms of energy power generation system's steady state control system
CN104967138A (en) Energy storage power station
CN112510683B (en) Incremental power distribution network flexible resource allocation method considering source load uncertainty
CN107069791A (en) A kind of consideration industrial park integration requirement response method interactive with factory
CN115713197A (en) Power system load-storage combined optimization scheduling method considering wind power uncertainty
CN117077974A (en) Virtual power plant resource optimal scheduling method, device, equipment and storage medium
CN116544991A (en) Wind power uncertainty-considered wind power and storage combined optimization scheduling method
CN116822866A (en) Power grid regulation and control demand calculation method and system for load side resources
CN111211571A (en) Transformer load rate maintenance control method and device based on user side energy storage
CN110571868A (en) Optimal configuration method of microgrid
CN116191505A (en) Method and device for adjusting global dynamic interaction of low-voltage platform area source charge storage and charging
CN115765014A (en) Distribution network energy storage and data center planning method considering information physical coupling
CN114123171A (en) Incremental power distribution network distributed optimization planning method and medium based on potential game
CN115081707A (en) Micro-grid multi-time scale optimization scheduling method based on source and load flexibility
CN114123257A (en) Day-ahead scheduling method considering energy storage power constraint
CN113964852A (en) Power generation control method and device for virtual power plant for sharing stored energy
CN110544044A (en) edge collaborative calculation method for distributed power supply to time-sharing electricity price power generation response
Liang et al. Design and comparison of scheduling schemes for grid-connected hybrid PV-hydrogen-battery microgrid
CN109921447A (en) A kind of microgrid economic load dispatching method based on energy storage device SOC dynamic constrained
CN117096957B (en) Multi-source collaborative optimization method and system for power distribution network
Zhou et al. Joint Dispatch of Peak Shaving and Frequency Response Considering Large-scale Electrochemical Energy Storage on the Grid Side

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