CN115603308A - Source network coordination planning method and system considering demand response substitution benefit - Google Patents

Source network coordination planning method and system considering demand response substitution benefit Download PDF

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CN115603308A
CN115603308A CN202211214136.3A CN202211214136A CN115603308A CN 115603308 A CN115603308 A CN 115603308A CN 202211214136 A CN202211214136 A CN 202211214136A CN 115603308 A CN115603308 A CN 115603308A
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source network
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段惠
王尧
杨钤
王建学
陈洁
刘海丞
梁燕
刘红丽
申泽渊
吉喆
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Xian Jiaotong University
Economic and Technological Research Institute of State Grid Shanxi Electric Power Co Ltd
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Economic and Technological Research Institute of State Grid Shanxi Electric Power Co Ltd
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Abstract

The invention discloses a source network coordination planning method and a source network coordination planning system considering demand response substitution benefits, wherein a source network coordination planning model objective function considering the demand response substitution benefits is constructed by utilizing basic technical data of a power system; respectively constructing a source network coordination planning model planning stage constraint condition and a model typical scene operation simulation constraint condition which consider the demand response alternative benefit, and establishing a source network coordination planning model which considers the demand response alternative benefit by combining the constructed objective function; the source network coordination planning is realized based on the output of the source network coordination planning model considering the demand response substitution benefit, and the method and the system can reduce the investment cost of system power generation and transmission on the premise of ensuring the stable operation of the system, thereby improving the efficiency of the unit.

Description

Source network coordination planning method and system considering demand response substitution benefit
Technical Field
The invention belongs to the technical field of power supply planning of power systems, and particularly relates to a source network coordination planning method and system considering demand response substitution benefits.
Background
In recent years, renewable energy has been rapidly developed worldwide with the advantages of its abundant resources and environmental protection. Many countries also set the goal of renewable energy development. However, large scale installation of new energy sources results in a significant increase in power system uncertainty. Under the circumstances, compared with the traditional form of separating the power generation planning and the power transmission planning, the coordinated power generation and power transmission expansion planning has more advantages and is more and more concerned. In addition, the development of thermal power generating units is limited due to the implementation of carbon emission reduction policies in many countries. Therefore, much attention should be paid to the coordination of renewable power generation and power transmission expansion planning. However, the schedulability of the power system is not strong, so that the flexible regulation capability of the power system is not sufficient.
In order to meet the peak load demand, a large-capacity thermal power generating unit and a matched power transmission line are generally required to be built, but the duration of the peak load is often short, and investment cost is increased due to the fact that too many thermal power generating units and power transmission lines are invested. Demand Response (DR) resources are regarded as a virtual power supply, which not only can reduce peak load, but also has the functions of smoothing the fluctuation of new energy output and releasing the potential capacity of a network to improve the efficiency of the existing unit. Therefore, the flexibility of the power system can be improved by implementing demand side response in the thermal power-new energy power generation and transmission planning, and the power generation and transmission investment can be reduced to a certain extent.
At present, the investment of a thermal power generating unit with excessive investment is not practical, and the operation and the starting and stopping of the thermal power generating unit cause the increase of carbon emission.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a source network coordination planning method and system considering demand response substitution efficiency, and introduce a load elasticity correlation model to solve the technical problem of short-term peak load of the system.
The invention adopts the following technical scheme:
a source network coordination planning method considering demand response substitution benefit is characterized in that a source network coordination planning model objective function considering demand response substitution benefit is constructed by using basic technical data of an electric power system; respectively constructing a source network coordination planning model planning phase constraint condition and a model typical scene operation simulation constraint condition which consider the demand response alternative benefit, and establishing a source network coordination planning model which considers the demand response alternative benefit by combining the constructed objective function; and realizing the source network coordination planning based on the output of the source network coordination planning model considering the demand response substitution benefit.
Specifically, the basic technical data of the power system include: technical parameters of various types of power supplies in the power system comprise power transmission net racks, network parameters, load information and historical information of new energy power generation.
Specifically, the source network coordination planning model objective function considering the demand response substitution benefit is as follows:
Figure BDA0003876146580000021
wherein K is a conversion coefficient; omega S A planning scene set; p is a radical of formula s Is the scene probability; c Line,Inv The line investment cost; c Thermal,Inv Investment cost for thermal power; c NE,Inv Investment cost for new energy;
Figure BDA0003876146580000022
the cost is run for the scene.
Further, the investment cost C of the transmission line Line,Inv
Figure BDA0003876146580000023
Wherein omega Line Is a set of power transmission corridors;
Figure BDA0003876146580000024
the number of transmission corridor lines/the maximum number of transmission corridor lines;
Figure BDA0003876146580000025
investment cost for the transmission line;
Figure BDA0003876146580000026
and establishing a state for the line.
Further, the thermal power construction cost C Thermal,Inv
Figure BDA0003876146580000027
Wherein, omega' Thermal The thermal power candidate set is obtained;
Figure BDA0003876146580000031
the construction cost is put into the unit of the thermal power generating unit;
Figure BDA0003876146580000032
and (5) putting the state into operation for the thermal power generating unit.
Further, new energy investment cost C NE,Inv
Figure BDA0003876146580000033
Wherein omega NE Is a new energy set;
Figure BDA0003876146580000034
the cost is put into operation for a new energy unit;
Figure BDA0003876146580000035
and capacity is expanded for new energy.
Further, the cost of running the scene
Figure BDA0003876146580000036
Figure BDA0003876146580000037
Wherein omega T Is a set of time periods; omega Thermal Collecting all thermal power generating units; omega Load Is a load set;
Figure BDA0003876146580000038
the unit starting and stopping cost of the thermal power generating unit is saved; f i (. H) is a fuel cost function of the thermal power generating unit;
Figure BDA0003876146580000039
outputting power for the thermal power generating unit;
Figure BDA00038761465800000310
starting and stopping states of the thermal power generating unit;
Figure BDA00038761465800000311
is the unit demand response cost;
Figure BDA00038761465800000312
responding to power for the load.
Specifically, the constraint conditions in the planning phase of the source network coordination planning model for the demand response substitution benefit include:
the method comprises the following steps of (1) power transmission line extension sequence constraint, new energy extension capacity constraint and new energy quota system absorption constraint;
the simulation constraint conditions for model typical scene operation comprise:
the method comprises the following steps of thermal power unit state logic constraint, thermal power unit output constraint, thermal power unit climbing constraint, thermal power unit shortest startup and shutdown time constraint, new energy unit output constraint, load response electric quantity constraint, interruptible load constraint, transferable load constraint, power transmission line direct current power flow constraint, power transmission line transmission capacity constraint, node power balance constraint and system standby constraint.
Further, the power transmission line extension sequence is constrained:
Figure BDA00038761465800000313
wherein,
Figure BDA00038761465800000314
Figure BDA00038761465800000315
a binary decision variable for the extension of the j +1 th line of the power transmission corridor i,
Figure BDA00038761465800000316
binary decision variable, Ω, for the extension of the jth line of the transmission corridor i Line A set of all power transmission corridors;
capacity constraint of new energy expansion:
Figure BDA0003876146580000041
wherein,
Figure BDA0003876146580000042
the upper limit of the capacity is built for new energy,
Figure BDA0003876146580000043
put into operation the capacity, omega, for new energy NE The new energy machine set is a set of new energy machine sets;
the new energy quota system consumption constraint:
Figure BDA0003876146580000044
wherein,
Figure BDA0003876146580000045
the power coefficient of the new energy unit resource;
Figure BDA0003876146580000046
predicting power for the load; gamma ray NE For new energy quota to make up the ratio, p s Is the weight of scene s, Ω Load To load set, Ω S For a set of scenes, Ω T A set of time periods for each scene;
and (3) logically constraining the state of the thermal power generating unit:
Figure BDA0003876146580000047
Figure BDA0003876146580000048
Figure BDA0003876146580000049
wherein,
Figure BDA00038761465800000410
in order to increase the number of thermal power plant operations,
Figure BDA00038761465800000411
for the number of power-on times of the thermal power plant,
Figure BDA00038761465800000412
for the number of shutdowns of the thermal power plant,
Figure BDA00038761465800000413
number of service units, omega, of thermal power plants Thermal Collecting all thermal power generating units;
thermal power unit output constraint:
Figure BDA00038761465800000414
Figure BDA00038761465800000415
wherein,
Figure BDA00038761465800000416
actual output of the thermal power generating unit;
Figure BDA00038761465800000417
the maximum/minimum output of the thermal power generating unit is obtained;
Figure BDA00038761465800000418
the capacity of the thermal power generating unit can be adjusted up and down;
thermal power generating unit climbing restraint:
Figure BDA00038761465800000419
Figure BDA00038761465800000420
wherein,
Figure BDA00038761465800000421
the ramp rate of the thermal power generating unit is up and down;
the shortest starting and stopping time constraint of the thermal power generating unit is as follows:
Figure BDA0003876146580000051
Figure BDA0003876146580000052
wherein,
Figure BDA0003876146580000053
the minimum startup and shutdown time of the thermal power generating unit is t, and t is a time index;
and (3) output constraint of the new energy unit:
Figure BDA0003876146580000054
wherein,
Figure BDA0003876146580000055
the actual power of the new energy unit;
load response electric quantity constraint:
Figure BDA0003876146580000056
wherein,
Figure BDA0003876146580000057
responding power to the load;
Figure BDA0003876146580000058
a maximum amount of power that the load is allowed to respond to;
interruptible load constraint:
Figure BDA0003876146580000059
Figure BDA00038761465800000510
wherein,
Figure BDA00038761465800000511
is an interruptible load set;
Figure BDA00038761465800000512
is annual maximum load power;
Figure BDA00038761465800000513
capacity is adjustable upward for load shedding;
Figure BDA00038761465800000514
load response capability;
transferable load constraint:
Figure BDA00038761465800000515
Figure BDA00038761465800000516
Figure BDA00038761465800000517
Figure BDA00038761465800000518
wherein,
Figure BDA00038761465800000519
transferring power to the load;
Figure BDA00038761465800000520
capacity is adjustable upward for load transfer;
Figure BDA00038761465800000521
capacity is adjustable downward for load shifting;
and (3) direct current power flow constraint of the power transmission line:
Figure BDA0003876146580000061
Figure BDA0003876146580000062
wherein, theta p(i),s,tq(i),s,t The phase angles of the nodes at the first end and the last end of the line are obtained; x is the number of i,j Is the line reactance value;
Figure BDA0003876146580000063
is the line trend;
transmission capacity constraint of the transmission line:
Figure BDA0003876146580000064
Figure BDA0003876146580000065
wherein,
Figure BDA0003876146580000066
is the line transmission capacity;
node power balance constraint:
Figure BDA0003876146580000067
wherein omega Node Is a node set; omega Line,f(n)Line,t(n) Is a line set connected with the node n;
system standby constraints:
Figure BDA0003876146580000068
Figure BDA0003876146580000069
in a second aspect, an embodiment of the present invention provides a source network coordination planning system considering demand response substitution benefits, including:
the function module is used for constructing a source network coordination planning model objective function considering the demand response substitution benefit by utilizing the basic technical data of the power system;
the constraint module is used for respectively constructing a source network coordination planning model planning stage end condition and a model typical scene operation simulation constraint condition which take the demand response substitution benefit into consideration, and establishing a source network coordination planning model which takes the demand response substitution benefit into consideration by combining with a target function constructed by the function module;
and the planning module is used for realizing source network coordination planning based on the output of the source network coordination planning model which is constructed by the constraint module and takes the demand response substitution benefit into consideration.
Compared with the prior art, the invention at least has the following beneficial effects:
the invention relates to a source network coordination planning method considering demand response alternative benefits, which comprises the steps of constructing a source network coordination planning model planning stage constraint condition and a model typical scene operation simulation constraint condition considering demand response alternative benefits, establishing a source network coordination planning model considering demand response alternative benefits by combining an objective function, solving the source network coordination planning model, obtaining the total cost of a system, the power generation investment cost, the power transmission investment cost, the DR cost, the new energy power rate, the load abandonment interruption amount, the load transfer amount, and comparing with a scheme result without considering demand side response to obtain the alternative benefits of DR.
Furthermore, technical parameters of various types of power supplies in the power system, existing power transmission net racks and network parameters, load information and historical information of new energy power generation can describe the current situation of the power system to be planned, a planning target and demand, technical and economic parameters of the power supplies and operation simulation boundaries, and basic data is provided for calculation and operation simulation verification of a subsequent power supply planning scheme.
Further, the objective function covers all cost items of power supply investment and operation in a planning period, specifically comprises the investment cost of a thermal power generating unit, the investment cost of a new energy source unit, the investment cost of a power transmission line, the thermal power fuel cost, the thermal power start-stop cost, the demand response cost and the electricity abandoning cost of new energy, can accurately reflect the planning cost, and has strong reference; meanwhile, the demand response cost is introduced, and the flexibility of the load side is fully considered.
Furthermore, by setting the investment cost of the transmission line, specific parameters required by the investment of the line can be accurately reflected in the objective function.
Furthermore, by setting the thermal power input cost, specific parameters required by the thermal power input can be accurately reflected in the objective function.
Furthermore, by setting the new energy source investment cost, specific parameters required by new energy source investment can be accurately reflected in the objective function.
Furthermore, the cost required for keeping the balance of the electric power and the electric quantity of the electric power system under the current scene can be accurately reflected in the objective function by setting the scene operation cost.
Furthermore, the planning stage constraint conditions reflect the limitation and basic requirements on unit production, the rationality and feasibility of the power supply planning result are enhanced, and the unit operation state can be accurately reflected.
Furthermore, the constraint conditions in the operation stage, such as the logic of the thermal power unit is the basic logic change of the number of the thermal power units, the output constraint of the thermal power unit, the climbing constraint of the thermal power unit and the shortest startup and shutdown time constraint of the thermal power unit describe the physical condition limitation required to be met by the operation of the thermal power unit; the output constraint of the new energy unit describes the wind power/photovoltaic resource level; the load response power constraint describes a maximum schedulable power in the elastic load; interruptible load constraints and transferable load constraints describe the responsiveness of different types of elastic loads; the transmission line direct current power flow constraint, the transmission line transmission capacity constraint and the node power balance constraint describe basic requirements which need to be met by normal operation of a system; system standby constraints to ensure that there is sufficient capacity to ensure power balance.
It is understood that the beneficial effects of the second aspect can be referred to the related description of the first aspect, and are not described herein again.
In conclusion, the method can improve the power system, comprehensively considers the influence of load elasticity on system planning, enables the result to be more consistent with the actual situation of the power system, can obtain a more flexible and more economic source network planning scheme, and provides reference opinions for the economic construction of a source network structure.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
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FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a schematic view of investment and operation results in consideration of DR.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be understood that the terms "comprises" and/or "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe preset ranges, etc. in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, a first preset range may also be referred to as a second preset range, and similarly, a second preset range may also be referred to as a first preset range, without departing from the scope of embodiments of the present invention.
The word "if," as used herein, may be interpreted as "at \8230; \8230when" or "when 8230; \823030when" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Various structural schematics according to the disclosed embodiments of the invention are shown in the drawings. The figures are not drawn to scale, wherein certain details are exaggerated and possibly omitted for clarity of presentation. The shapes of various regions, layers and their relative sizes and positional relationships shown in the drawings are merely exemplary, and deviations may occur in practice due to manufacturing tolerances or technical limitations, and a person skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions, according to actual needs.
The basic method of source network coordination planning is to simulate the actual situation and demand of a power system by establishing a mathematical model, and then solve the model to obtain a reasonable production scheme of a power supply and a power transmission line. The mathematical model usually aims at minimizing investment and operation cost of the system and meets load requirements as basic requirements, and the problem is that the load requirements in the existing source network collaborative planning are fixed without considering the elasticity of the load, and the planning result often leads to excessive investment of power generation and transmission in the system.
The invention provides a source network coordination planning method considering demand response substitution benefits, which comprehensively considers the influence of load elasticity on system planning, divides loads into rigid loads, interruptible loads and transferable loads, and respectively establishes corresponding constraints to improve the flexibility of a system, is used for analyzing the substitution benefits of demand response resources on power generation and transmission capacity in power system planning, and reduces the investment cost of system power generation and transmission on the premise of ensuring the stable operation of the system, thereby improving the efficiency of a unit.
Referring to fig. 1, a source network coordination planning method considering demand response substitution benefit of the present invention includes the following steps:
s1, when the method provided by the invention is applied, basic technical data of the system are required to be acquired from a power system planning department;
the system basic technical data comprises: technical parameters of various types of power supplies in the power system comprise existing power transmission net racks and network parameters, load information and historical information of new energy power generation; and after the information is obtained from the relevant departments, calculating the source network coordination planning method considering the demand response substitution benefit.
S2, constructing a target function of a source network coordination planning model considering demand response substitution benefits by using the technical parameters of various power sources of the power system, the existing power transmission network frame and network parameters, load information and historical information data of new energy power generation, which are obtained in the step S1;
the objective function is to minimize the total investment and operation cost in the planning period, and the cost specifically comprises the following steps: investment cost of a thermal power generating unit, investment cost of a new energy source unit, investment cost of a power transmission line, thermal power fuel cost, thermal power starting and stopping cost and demand response cost. The method comprises the following specific steps:
Figure BDA0003876146580000111
wherein K is a conversion coefficient; omega S A planning scene set; p is a radical of formula s Is the scene probability; c Line,Inv The line investment cost; c Thermal,Inv Investment cost for thermal power; c NE,Inv Investment cost for new energy;
Figure BDA0003876146580000112
the cost is run for the scene.
Investment cost C of transmission line Line,Inv
Figure BDA0003876146580000113
Wherein omega Line Is a set of power transmission corridors;
Figure BDA0003876146580000114
the number of transmission corridor lines/the maximum number of transmission corridor lines;
Figure BDA0003876146580000115
investment cost for the transmission line;
Figure BDA0003876146580000116
the state of the line is put into operation and is a variable of 0 to 1.
Thermal power supply cost C Thermal,Inv
Figure BDA0003876146580000117
Wherein omega' Thermal The thermal power candidate set is obtained;
Figure BDA0003876146580000118
the construction cost is put into the unit of the thermal power generating unit;
Figure BDA0003876146580000119
and the state of the thermal power generating unit is set as a variable of 0-1.
New energy commissioning cost C NE,Inv
Figure BDA00038761465800001110
Wherein omega NE Is a new energy set;
Figure BDA00038761465800001111
the cost is put into operation for a new energy unit;
Figure BDA00038761465800001112
and capacity is expanded for new energy.
Cost of scene operation
Figure BDA0003876146580000121
Figure BDA0003876146580000122
Wherein omega T Is a set of time periods; omega Thermal Collecting all thermal power generating units; omega Load Is a load set;
Figure BDA0003876146580000123
the unit starting and stopping cost of the thermal power generating unit is saved; f i (. H) is a fuel cost function of the thermal power generating unit;
Figure BDA0003876146580000124
outputting power for the thermal power generating unit;
Figure BDA0003876146580000125
starting and stopping states of the thermal power generating unit;
Figure BDA0003876146580000126
is the unit demand response cost;
Figure BDA0003876146580000127
responding to power for the load.
S3, respectively constructing a source network coordination planning model planning phase constraint condition and a model typical scene operation simulation constraint condition which consider the demand response alternative benefit, and establishing a source network coordination planning model which considers the demand response alternative benefit according to the constraint condition and the objective function constructed in the step S2;
constraint conditions of a source network coordination planning model planning phase of demand response substitution benefit are as follows:
1. and (3) power transmission line extension sequence constraint: and limiting the construction sequence of the power transmission lines in each power transmission corridor.
Figure BDA0003876146580000128
Wherein,
Figure BDA0003876146580000129
Figure BDA00038761465800001210
a binary decision variable for the extension of the j +1 th line of the power transmission corridor i,
Figure BDA00038761465800001211
binary decision variable, omega, for the extension of the jth line of the transmission corridor i Line Is a collection of all power transmission corridors.
2. And (3) capacity constraint of new energy expansion: there is an upper limit to the expansion capacity of new energy.
Figure BDA00038761465800001212
Wherein,
Figure BDA00038761465800001213
the upper limit of the capacity is built for new energy,
Figure BDA00038761465800001214
put into operation the capacity, omega, for new energy NE Is a set of new energy source units.
3. The new energy quota system consumption constraint: according to the current policy setting, the limitation is performed according to the new energy consumption requirement in the policy.
Figure BDA00038761465800001215
Wherein,
Figure BDA00038761465800001216
the power coefficient of the new energy unit resource is obtained;
Figure BDA00038761465800001217
predicting power for the load; gamma ray NE For new energy quota to make up the ratio, p s Is the weight of scene s, Ω Load Is a set of loads, Ω S As a set of scenesOmega of T From 1 to | T | for the set of time segments for each scene.
The simulation constraint conditions for model typical scene operation comprise:
4. and (3) logically constraining the state of the thermal power generating unit: the constraint is the basic logical change of the number of units.
Figure BDA0003876146580000131
Figure BDA0003876146580000132
Figure BDA0003876146580000133
Wherein,
Figure BDA0003876146580000134
in order to determine the number of thermal power plant operations,
Figure BDA0003876146580000135
for the number of power-on of the thermal power plant,
Figure BDA0003876146580000136
the number of the shut-downs of the thermal power plant,
Figure BDA0003876146580000137
number of units in service of thermal power plant, omega Thermal And all the thermal power generating units are integrated.
5. Thermal power unit output constraint: the thermal power generating unit is required to meet maximum and minimum output constraints.
Figure BDA0003876146580000138
Figure BDA0003876146580000139
Wherein,
Figure BDA00038761465800001310
actual output of the thermal power generating unit;
Figure BDA00038761465800001311
the maximum/minimum output of the thermal power generating unit is obtained;
Figure BDA00038761465800001312
the capacity of the thermal power generating unit can be adjusted up and down.
6. And (3) climbing restraint of the thermal power generating unit: the thermal power output change rate has certain limit.
Figure BDA00038761465800001313
Figure BDA00038761465800001314
Wherein,
Figure BDA00038761465800001315
the ramp rate of the thermal power generating unit is up and down.
7. The shortest starting and stopping time constraint of the thermal power generating unit is as follows: the starting and the shutdown of the thermal power generating unit require certain time.
Figure BDA00038761465800001316
Figure BDA00038761465800001317
Wherein,
Figure BDA00038761465800001318
the minimum startup and shutdown time of the thermal power generating unit is t, and t is a time index.
8. And (3) output constraint of the new energy unit: the maximum new energy output depends on the current wind/light resource level.
Figure BDA0003876146580000141
Wherein,
Figure BDA0003876146580000142
the actual power of the new energy unit.
9. And (3) load response electric quantity constraint: the amount of power for the load response has a certain upper limit.
Figure BDA0003876146580000143
Wherein,
Figure BDA0003876146580000144
responding power to the load;
Figure BDA0003876146580000145
the maximum amount of power that the load is allowed to respond to.
10. Interruptible load constraints: the interruptible load type is subject to operational constraints under the scenario.
Figure BDA0003876146580000146
Figure BDA0003876146580000147
Wherein,
Figure BDA0003876146580000148
is an interruptible load set;
Figure BDA0003876146580000149
is the biggest burden of the yearThe charge power;
Figure BDA00038761465800001410
capacity is adjustable upward for load interruption;
Figure BDA00038761465800001411
load response capability.
11. Transferable load constraint: the operational constraints of the load types under the scene can be transferred.
Figure BDA00038761465800001412
Figure BDA00038761465800001413
Figure BDA00038761465800001414
Figure BDA00038761465800001415
Wherein,
Figure BDA00038761465800001416
transferring power to the load;
Figure BDA00038761465800001417
capacity is adjustable upward for load transfer;
Figure BDA00038761465800001418
the capacity is adjustable downward to divert load.
12. And (3) direct current power flow constraint of the power transmission line:
Figure BDA00038761465800001419
Figure BDA00038761465800001420
wherein, theta p(i),s,tq(i),s,t The phase angles of the nodes at the first end and the last end of the line are obtained; x is the number of i,j Is the line reactance value;
Figure BDA00038761465800001421
is the line flow.
13. Transmission capacity constraint of the transmission line: the upper and lower limits of power flowing through the transmission line.
Figure BDA00038761465800001422
Figure BDA0003876146580000151
Wherein,
Figure BDA0003876146580000152
is the line transmission capacity.
14. Node power balance constraint:
Figure BDA0003876146580000153
wherein omega Node Is a node set; omega Line,f(n)Line,t(n) Is the set of lines connected to node n.
15. System standby constraints: indicating the adjustable capacity of the system up and down.
Figure BDA0003876146580000154
Figure BDA0003876146580000155
And S4, solving the source network coordination planning model which is constructed in the step S3 and takes the demand response substitution benefit into consideration by adopting a solver to obtain a production scheme of the power supply and the power transmission network, power generation investment cost, power transmission investment cost, DR cost, new energy power curtailment rate, interrupted load capacity and transferred load capacity.
In another embodiment of the present invention, a source network coordination planning system considering demand response substitution benefits is provided, and the system can be used to implement the source network coordination planning method considering demand response substitution benefits, and specifically, the source network coordination planning system considering demand response substitution benefits includes a function module, a constraint module, and a planning module.
The function module is used for constructing a source network coordination planning model objective function considering the demand response substitution benefit by using basic technical data of the power system;
the constraint module is used for respectively constructing a source network coordination planning model planning stage end condition and a model typical scene operation simulation constraint condition which take the demand response substitution benefit into consideration, and establishing a source network coordination planning model which takes the demand response substitution benefit into consideration by combining with a target function constructed by the function module;
and the planning module is used for realizing the source network coordination planning based on the output of the source network coordination planning model which is constructed by the constraint module and takes the demand response substitution benefit into consideration.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to verify the effectiveness of the method provided by the invention, a ROTS2017 test system is selected for computational analysis. The grid structure of the system totally comprises 30 loads, 65 power transmission lines, 35 thermal power generating units and 9 new energy units. For the candidate line, all existing transmission lines are allowed to perform line expansion, and the maximum number of lines is 3. The response power coefficient of each load is set to 20%, and the maximum allowable response power of each scene is set as follows, meaning that the maximum response power of each scene can respond for two hours.
Figure BDA0003876146580000161
For the cost parameter, we set up for each new energy group
Figure BDA0003876146580000162
Setting for each interruptible load
Figure BDA0003876146580000163
For each transferable load setting
Figure BDA0003876146580000164
And then analyzing the benefit of the DR resources in the aspect of saving the construction cost of power generation and power transmission.
TABLE 1 comparison of investment and operating results whether considering DR resources
Figure BDA0003876146580000165
Figure BDA0003876146580000171
Referring to fig. 2 and table 1, when considering DR resources, a more flexible load resource can be used for adjustment, the total cost and the new energy power rejection rate will be reduced, and during a load peak period, the DR resource is called to reduce the load level, so that the power generation investment cost is saved, and when some power transmission lines are blocked, the DR resource is called to reduce the load rate of the power transmission lines, so that the power transmission investment cost is saved. Thus, DR resources have the ability to replace power generation and transmission.
In summary, the source network coordination planning method and system considering the demand response substitution benefit are applicable to the source network planning scheme formulation of the power system considering the load elasticity, can obtain a more economic, environment-friendly, flexible and reliable source network planning scheme, and provide reference opinions for the future source network structure construction.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.

Claims (10)

1. A source network coordination planning method considering demand response substitution benefits is characterized in that a source network coordination planning model objective function considering demand response substitution benefits is constructed by utilizing basic technical data of a power system; respectively constructing a source network coordination planning model planning stage constraint condition and a model typical scene operation simulation constraint condition which consider the demand response alternative benefit, and establishing a source network coordination planning model which considers the demand response alternative benefit by combining the constructed objective function; and realizing the source network coordination planning based on the output of the source network coordination planning model considering the demand response substitution benefit.
2. The source grid coordination planning method considering demand response substitution efficiency according to claim 1, wherein the power system basic technical data comprises: the technical parameters of various types of power supplies in the power system comprise the existing power transmission network frame and network parameters, load information and historical information of new energy power generation.
3. The source network coordination planning method considering demand response alternative benefits according to claim 1, wherein the source network coordination planning model objective function considering demand response alternative benefits is:
Figure FDA0003876146570000011
wherein K is a conversion coefficient; omega S A set of planning scenarios; p is a radical of s Is the scene probability; c Line,Inv The line investment cost; c Thermal ,Inv Investment cost for thermal power; c NE,Inv Investment cost for new energy;
Figure FDA0003876146570000012
the cost is run for the scene.
4. The source network coordination planning method considering demand response substitution benefit according to claim 3, wherein investment cost C of power transmission line Line,Inv
Figure FDA0003876146570000013
Wherein omega Line Is a set of power transmission corridors;
Figure FDA0003876146570000014
the number of transmission corridor lines/the maximum number of transmission corridor lines;
Figure FDA0003876146570000015
investment cost for the transmission line;
Figure FDA0003876146570000016
and establishing a state for the line.
5. The method of claim 3, wherein the source network coordination planning method takes into account demand response substitution efficiencyThermal power supply cost C Thermal,Inv
Figure FDA0003876146570000017
Wherein omega' Thermal The thermal power candidate set is obtained;
Figure FDA0003876146570000021
investment cost is put into a unit of the thermal power generating unit;
Figure FDA0003876146570000022
and (5) putting the state into operation for the thermal power generating unit.
6. The method for source-grid coordination planning considering demand-response substitution efficiency according to claim 3, wherein new energy investment cost C NE,Inv
Figure FDA0003876146570000023
Wherein omega NE Is a new energy set;
Figure FDA0003876146570000024
the cost is put into operation for a new energy unit;
Figure FDA0003876146570000025
and capacity is expanded for new energy.
7. The method of claim 3, wherein the scenario running cost is a cost of the source network coordination planning considering the demand response replacement benefit
Figure FDA0003876146570000026
Figure FDA0003876146570000027
Wherein omega T Is a set of time periods; omega Thermal Collecting all thermal power generating units; omega Load Is a load set;
Figure FDA0003876146570000028
the unit starting and stopping cost of the thermal power generating unit is saved; f i (. H) is a fuel cost function of the thermal power generating unit;
Figure FDA0003876146570000029
outputting power for the thermal power generating unit;
Figure FDA00038761465700000210
starting and stopping the thermal power generating unit;
Figure FDA00038761465700000211
is the unit demand response cost;
Figure FDA00038761465700000212
responding to power for the load.
8. The source network coordination planning method considering demand response alternative benefit according to claim 1, wherein the source network coordination planning model planning phase constraint condition of demand response alternative benefit includes:
the method comprises the following steps of (1) power transmission line extension sequence constraint, new energy extension capacity constraint and new energy quota system absorption constraint;
the simulation constraint conditions for model typical scene operation comprise:
the method comprises the following steps of thermal power unit state logic constraint, thermal power unit output constraint, thermal power unit climbing constraint, thermal power unit shortest start-up and shutdown time constraint, new energy unit output constraint, load response electric quantity constraint, interruptible load constraint, transferable load constraint, power transmission line direct current flow constraint, power transmission line transmission capacity constraint, node power balance constraint and system standby constraint.
9. The source network coordination planning method considering demand response substitution benefit according to claim 8, characterized in that the power transmission line extension order constraint:
Figure FDA0003876146570000031
wherein,
Figure FDA0003876146570000032
a binary decision variable for the extension of the j +1 th line of the power transmission corridor i,
Figure FDA0003876146570000033
binary decision variable, omega, for the extension of the jth line of the transmission corridor i Line A set of all power transmission corridors;
capacity constraint of new energy expansion:
Figure FDA0003876146570000034
wherein,
Figure FDA0003876146570000035
the upper limit of the capacity is built for the new energy,
Figure FDA0003876146570000036
put into operation for new energy, omega NE The new energy machine set is a set of new energy machine sets;
the new energy quota system consumption constraint:
Figure FDA0003876146570000037
wherein,
Figure FDA0003876146570000038
the power coefficient of the new energy unit resource;
Figure FDA0003876146570000039
predicting power for the load; gamma ray NE For new energy quota to make up the ratio, p s Is the weight of scene s, Ω Load Is a set of loads, Ω S For a set of scenes, Ω T A set of time periods for each scene;
and (3) logically constraining the state of the thermal power generating unit:
Figure FDA00038761465700000310
Figure FDA00038761465700000311
Figure FDA00038761465700000312
wherein,
Figure FDA00038761465700000313
in order to increase the number of thermal power plant operations,
Figure FDA00038761465700000314
for the number of power-on times of the thermal power plant,
Figure FDA00038761465700000315
for the number of shutdowns of the thermal power plant,
Figure FDA00038761465700000316
number of units in service of thermal power plant, omega Thermal Collecting all thermal power generating units;
output restraint of the thermal power generating unit:
Figure FDA00038761465700000317
Figure FDA00038761465700000318
wherein,
Figure FDA00038761465700000319
actual output of the thermal power generating unit;
Figure FDA00038761465700000320
the maximum/minimum output of the thermal power generating unit is obtained;
Figure FDA00038761465700000321
the capacity of the thermal power generating unit can be adjusted up and down;
and (3) climbing restraint of the thermal power generating unit:
Figure FDA0003876146570000041
Figure FDA0003876146570000042
wherein,
Figure FDA0003876146570000043
the ramp-up and ramp-down speed of the thermal power generating unit is set;
the shortest starting and stopping time constraint of the thermal power generating unit is as follows:
Figure FDA0003876146570000044
Figure FDA0003876146570000045
wherein,
Figure FDA0003876146570000046
the minimum startup and shutdown time of the thermal power generating unit is t, and t is a time index;
and (3) output constraint of the new energy unit:
Figure FDA0003876146570000047
wherein,
Figure FDA0003876146570000048
the actual power of the new energy unit;
and (3) load response electric quantity constraint:
Figure FDA0003876146570000049
wherein,
Figure FDA00038761465700000410
responding power to the load;
Figure FDA00038761465700000411
a maximum amount of power that the load is allowed to respond to;
interruptible load constraint:
Figure FDA00038761465700000412
Figure FDA00038761465700000413
wherein,
Figure FDA00038761465700000414
Is an interruptible load set;
Figure FDA00038761465700000415
is annual maximum load power;
Figure FDA00038761465700000416
capacity is adjustable upward for load interruption;
Figure FDA00038761465700000417
a load response capability;
transferable load constraint:
Figure FDA00038761465700000418
Figure FDA00038761465700000419
Figure FDA00038761465700000420
Figure FDA0003876146570000051
wherein,
Figure FDA0003876146570000052
transferring power to the load;
Figure FDA0003876146570000053
capacity is adjustable upward for load transfer;
Figure FDA0003876146570000054
capacity is adjustable downward to shift load;
and (3) direct current power flow constraint of the power transmission line:
Figure FDA0003876146570000055
Figure FDA0003876146570000056
wherein, theta p(i),s,tq(i),s,t The phase angles of the nodes at the first end and the last end of the line are obtained; x is a radical of a fluorine atom i,j Is the line reactance value;
Figure FDA0003876146570000057
is the line flow;
transmission capacity constraint of the transmission line:
Figure FDA0003876146570000058
Figure FDA0003876146570000059
wherein,
Figure FDA00038761465700000510
a line transmission capacity;
node power balance constraint:
Figure FDA00038761465700000511
wherein omega Node Is a node set; omega Line,f(n)Line,t(n) For sets of lines connected to node n;
System standby constraints:
Figure FDA00038761465700000512
Figure FDA00038761465700000513
10. a source network coordination planning system considering demand response replacement benefit, comprising:
the function module is used for constructing a source network coordination planning model objective function considering the demand response substitution benefit by utilizing the basic technical data of the power system;
the constraint module is used for respectively constructing a source network coordination planning model planning stage end condition and a model typical scene operation simulation constraint condition which take the demand response substitution benefit into consideration, and establishing a source network coordination planning model which takes the demand response substitution benefit into consideration by combining with a target function constructed by the function module;
and the planning module is used for realizing the source network coordination planning based on the output of the source network coordination planning model which is constructed by the constraint module and takes the demand response substitution benefit into consideration.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118054484A (en) * 2024-04-16 2024-05-17 国网江西省电力有限公司经济技术研究院 Multi-objective optimization method and system for power system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118054484A (en) * 2024-04-16 2024-05-17 国网江西省电力有限公司经济技术研究院 Multi-objective optimization method and system for power system

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