CN110222970B - Elastic scheduling method of gas-electricity coupling comprehensive energy system considering energy storage reserve - Google Patents

Elastic scheduling method of gas-electricity coupling comprehensive energy system considering energy storage reserve Download PDF

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CN110222970B
CN110222970B CN201910460944.XA CN201910460944A CN110222970B CN 110222970 B CN110222970 B CN 110222970B CN 201910460944 A CN201910460944 A CN 201910460944A CN 110222970 B CN110222970 B CN 110222970B
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王成山
吕超贤
李鹏
于浩
冀浩然
赵金利
于建成
范朕宁
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State Grid Tianjin Electric Power Co Ltd
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Abstract

A gas-electric coupling comprehensive energy system flexible scheduling method considering energy storage standby comprises the following steps: inputting the structure and parameters of the gas-electric coupling comprehensive energy system according to the selected gas-electric coupling comprehensive energy system; establishing the operation constraint and the cold/electricity supply and demand balance constraint of the gas-electricity coupling comprehensive energy system equipment; calculating the rolling calculation stage of the reserve capacity of the stored energy; carrying out optimization scheduling in a day-ahead economic scheduling stage; and performing optimized scheduling of the real-time operation stage. The invention aims to solve the problem of optimal scheduling of the gas-electricity coupling comprehensive energy system, fully considers the complementary coordination action of the electric drive equipment and the gas drive equipment, exerts the response capability of the energy storage device under emergency, establishes a multi-stage elastic scheduling model considering the energy storage standby gas-electricity coupling comprehensive energy system, and obtains a system day-ahead scheduling plan and a load recovery scheme when a fault occurs.

Description

Elastic scheduling method of gas-electric coupling comprehensive energy system considering energy storage standby
Technical Field
The invention relates to an elastic scheduling method of a comprehensive energy system. In particular to a gas-electric coupling comprehensive energy system flexible scheduling method considering energy storage standby.
Background
With the increasing severity of the problems of fossil fuel shortage, global warming and environmental pollution, energy structure is optimized, a novel green and efficient energy system is constructed, and the problem of realizing sustainable energy development is urgently solved. The gas-electricity coupling comprehensive energy system is deeply coupled with energy of different forms such as electricity, heat, gas and the like, and the energy of different tastes such as cold/heat/electricity and the like is flexibly supplied to a user through the cooperative optimization and complementary operation of the energy of the different forms in multiple links such as energy production, conversion, transmission, consumption and the like, so that the integral high-efficiency utilization of the multiple energy sources can be realized, and the gas-electricity coupling comprehensive energy system is an important means for realizing sustainable development and clean energy source replacement.
From the viewpoint of the device energy input form of the gas-electric coupling integrated energy system, energy supply devices are mainly divided into two types: electric drive equipment (such as ground source heat pump, electric boiler, etc.) and gas drive equipment (such as gas turbine, gas boiler, etc.); meanwhile, the gas-electricity coupling comprehensive energy system comprises two energy inputs of electric power and fuel gas. During normal operation, gas and power are supplied simultaneously, and the operation of different driving devices can be coordinated according to a scheduling strategy according to an electricity and cold load demand curve and electricity/gas purchase prices, so that the operation economy of the system is improved; in addition, when the supply of the electric power (gas) side is interrupted, the gas (electric power) system can provide standby support, and the occurrence of large-scale load loss is reduced. It should be noted that when the supply of electricity/gas is interrupted and one side is in standby operation, the load may not be completely satisfied, and at this time, reasonable load removal is required according to the load importance and the corresponding operation index. In order to guarantee the supply of important loads when gas (electricity) is interrupted, besides the main standby function of an electric (gas) independent system, the auxiliary standby function of a heat storage device needs to be exerted.
At present, the influence of source end supply faults is ignored more in optimized dispatching of the gas-electric coupling comprehensive energy system to carry out single economic dispatching, and the energy utilization requirement of important system loads under the condition of source end faults cannot be met. Therefore, an optimal scheduling method capable of considering both the system operation economy and the source end fault adaptability is urgently needed, the operation of the electric drive equipment and the gas drive equipment is coordinated based on the idea of 'complementary coordination and mutual standby' of a gas-electric independent system, the adaptability to the source end supply fault is improved through a certain standby means, and the system energy utilization requirement is economically and reliably met.
Disclosure of Invention
The invention aims to solve the technical problem of providing an elastic scheduling method of a gas-electric coupling comprehensive energy system, which can consider both the economical efficiency of system operation and the adaptability to source end faults and is standby in energy storage.
The technical scheme adopted by the invention is as follows: an elastic scheduling method of a gas-electric coupling integrated energy system considering energy storage standby comprises the following steps:
1) Inputting electricity price and gas price information according to the selected gas-electricity coupling comprehensive energy system, reading predicted values of electric load, cold load and illumination intensity, and inputting equipment composition of the centralized energy station, equipment operation parameters, current stored energy of the energy storage equipment, a gas-electricity coupling comprehensive energy system scheduling interval, a minimum load satisfying proportion, unsatisfied load punishment cost, power supply and gas supply interruption duration parameters;
2) Establishing equipment operation constraint and cold/electricity supply and demand balance constraint of the gas-electricity coupling comprehensive energy system according to the structure and parameters of the gas-electricity coupling comprehensive energy system provided in the step 1), wherein the equipment operation constraint comprises ground source heat pump unit operation constraint, cold storage water tank operation constraint, conventional water chilling unit operation constraint, ice cold storage system operation constraint, gas turbine operation constraint and absorption type refrigerator operation constraint;
3) And (3) performing calculation of an energy storage reserve capacity rolling calculation stage: according to the prediction information of the load and the illumination intensity of the gas-electric coupling comprehensive energy system in the fault domain, selecting the minimum initial value of the cold accumulation device of the gas-electric coupling comprehensive energy system in each rolling time period as a target function, considering the equipment operation constraint and meeting the constraint of the set proportional load, and generating the minimum energy storage reserve capacity value which can meet the requirement of the set proportional load of the gas-electric coupling comprehensive energy system when the power and gas source end has a fault;
4) Carrying out optimization scheduling in a day-ahead economic scheduling stage: according to illumination intensity information, cold load and electric load prediction information and a generated energy storage reserve capacity value in a day-ahead scheduling period, selecting the minimum running cost of the gas-electricity coupling comprehensive energy system in a complete scheduling period as a target function, and generating a scheduling plan comprising running cost, host start-stop instructions, running conditions, energy supply power, energy storage device energy supply instructions and power in multiple periods of the day-ahead time of the gas-electricity coupling comprehensive energy system by considering equipment running constraints, cold/electricity supply and demand balance constraints and heat storage device reserve constraints;
5) Performing optimized scheduling of a real-time operation stage: when the gas and power supply is normal, executing the plan in the step 4), when the gas or power supply is failed, switching the gas-electric coupling comprehensive energy system to a failure operation mode, selecting the minimum sum of the running cost and the load loss cost of the gas-electric coupling comprehensive energy system in the remaining scheduling period from the failure occurrence period to the scheduling period end period as a target function, wherein the running cost of the gas-electric coupling comprehensive energy system comprises the electricity purchasing cost and the gas purchasing cost, considering the equipment running constraint, the supply and demand balance constraint and meeting the set proportion load constraint, preferentially meeting the set proportion load energy demand, generating a scheduling plan of the gas-electric coupling comprehensive energy system in the remaining scheduling period, comprising the running cost, the host start-stop instruction, the operation condition, the energy supply power, the energy supply instruction of the energy storage device and the power, and executing the plan.
Selecting the minimum initial value of the system cold accumulation device in each rolling time interval as a target function, wherein the initial value is expressed as:
Figure BDA0002078041720000021
in the formula, t S Is the starting time of the rolling optimization schedule,
Figure BDA0002078041720000022
are each t S The standby capacity of the cold storage water tank and the ice storage tank at any moment; wherein type E { E, G }, E represents the power failure, G represents the gas failure.
The backup constraint of the thermal storage device in step 4) is expressed as:
Figure BDA0002078041720000023
Figure BDA0002078041720000024
Figure BDA0002078041720000025
in the formula (I), the compound is shown in the specification,
Figure BDA0002078041720000026
the cold storage amount of the energy storage device at the time t,
Figure BDA0002078041720000027
the cold accumulation amounts W of the cold accumulation water tank and the ice accumulation tank at the time t t TS,R For the backup capacity of the thermal storage device at time t,
Figure BDA0002078041720000028
respectively as the initial cooling capacity of the cold storage water tank and the ice storage tank, N T The suffix F, B in the capacity subscript represents the next scheduling day and the last scheduling day related parameters, respectively, for the number of scheduling intervals of one complete scheduling cycle.
The objective function in step 5) is expressed as:
Figure BDA0002078041720000029
in the formula (I), the compound is shown in the specification,
Figure BDA00020780417200000210
represents the price of the electricity purchased at the time t,
Figure BDA00020780417200000211
for the electrical power on the system link at time t,
Figure BDA00020780417200000212
the gas purchase price at the time of t is shown,
Figure BDA00020780417200000213
gas power consumed by the gas turbine at time t, t OUT In order to be the starting time of the fault,
Figure BDA00020780417200000214
respectively cold and electrical loads not satisfied at time t, E C 、E E The unit does not satisfy the punishment cost of the cold load and the electric load respectively, delta t is the scheduling step length, N T The number of scheduling intervals for one complete scheduling period.
The invention discloses an elastic scheduling method of a gas-electric coupling comprehensive energy system considering energy storage standby, which aims to solve the problem of optimal scheduling of the gas-electric coupling comprehensive energy system, fully considers the complementary coordination action of electric drive equipment and gas drive equipment, exerts the response capability of an energy storage device under emergency conditions, establishes a multi-stage elastic scheduling model considering the energy storage standby gas-electric coupling comprehensive energy system, and obtains a system day-ahead scheduling plan and a load recovery scheme when a fault occurs.
Drawings
FIG. 1 is a flow chart of the invention for a flexible scheduling method of a gas-electric coupling integrated energy system considering energy storage standby;
FIG. 2 is a block diagram of a gas-electric coupled integrated energy system;
FIG. 3 is a diagram of the cold power balance of the scheduling phase before day;
FIG. 4 is a diagram of electric power balance during a day-ahead dispatch phase;
fig. 5 is a diagram of the energy storage device storing cold and the minimum reserve capacity.
Detailed Description
The invention relates to a gas-electric coupling comprehensive energy system flexible scheduling method considering energy storage standby, which is described in detail in the following with reference to embodiments and drawings.
As shown in fig. 1, the method for flexibly scheduling an integrated gas-electric coupling energy system considering energy storage standby of the invention comprises the following steps:
1) Inputting electricity price and gas price information according to the selected gas-electricity coupling comprehensive energy system, reading predicted values of electric load, cold load and illumination intensity, and inputting equipment composition of the centralized energy station, equipment operation parameters, current stored energy of the energy storage equipment, a gas-electricity coupling comprehensive energy system scheduling interval, a minimum load satisfying proportion, unsatisfied load punishment cost, power supply and gas supply interruption duration parameters;
2) Establishing equipment operation constraint and cold/electricity supply and demand balance constraint of the gas-electricity coupling comprehensive energy system according to the structure and parameters of the gas-electricity coupling comprehensive energy system provided in the step 1), wherein the equipment operation constraint comprises ground source heat pump unit operation constraint, cold storage water tank operation constraint, conventional water chilling unit operation constraint, ice cold storage system operation constraint, gas turbine operation constraint and absorption type refrigerator operation constraint; wherein the content of the first and second substances,
(1) The operation constraint of the ground source heat pump unit is expressed as
Figure BDA0002078041720000031
Figure BDA0002078041720000032
Figure BDA0002078041720000033
Figure BDA0002078041720000034
Figure BDA0002078041720000035
In the formula (I), the compound is shown in the specification,
Figure BDA0002078041720000036
the power of the ith ground source heat pump for supplying and storing cold at the time t is respectively the power of the ith ground source heat pump for supplying and storing cold at the time t;
Figure BDA0002078041720000037
the ith ground source heat pump refrigeration and cold accumulation operation modes at the moment t are respectively;
Figure BDA0002078041720000041
respectively the minimum and maximum refrigeration power of the heat pump host;
Figure BDA0002078041720000042
respectively performing cold supply and cold accumulation operation modes for the ground source heat pump system at the time t; omega HP Is a set of ground source heat pump hosts; n is a radical of HP The number of the ground source heat pump main machines is;
Figure BDA0002078041720000043
the power consumed by the heat pump unit at the moment t;
Figure BDA0002078041720000044
is the ith heat pump coefficient of performance (COP), P HP,CWP And P HP,CP Rated power, P, for the heat pump main unit interlocking chilled water pump and cooling water pump respectively WT ,CWP ,1 And P WT ,CWP ,2 Rated power utilization functions of the cold discharge circulating pump and the cold accumulation circulating pump which are interlocked during cold accumulationAnd (4) rate.
(2) The cold storage water tank operation constraint is expressed as
Figure BDA0002078041720000045
Figure BDA0002078041720000046
Figure BDA0002078041720000047
Figure BDA0002078041720000048
Figure BDA0002078041720000049
Figure BDA00020780417200000410
In the formula (I), the compound is shown in the specification,
Figure BDA00020780417200000411
the cold supply power of the cold storage water tank is t moment;
Figure BDA00020780417200000412
the upper limit of the refrigeration power of a single refrigeration water pump is set;
N WT,CWP the number of the chilled water pumps of the cold accumulation water tank is equal to that of the chilled water pumps of the cold accumulation water tank;
Figure BDA00020780417200000413
the cooling operation mode of the ith cold storage water tank water pump is set at the moment t;
Figure BDA00020780417200000414
for storing cold at time tThe water tank stores the cold quantity, and the single cold storage water tank stores the upper limit of the cold quantity; n is a radical of WT The number of the cold accumulation water tanks is equal; epsilon WT The self-cooling rate of the cold storage water tank is obtained; delta t is a scheduling step length;
Figure BDA00020780417200000415
the power consumption of the cold accumulation water tank is reduced;
Figure BDA00020780417200000416
the cold storage water tank is in a cold discharge operation mode at the moment t.
(3) The conventional water chilling unit operation constraint is expressed as
Figure BDA00020780417200000417
Figure BDA00020780417200000418
In the formula (I), the compound is shown in the specification,
Figure BDA00020780417200000419
the refrigeration power of the ith conventional cold water main machine at the moment t;
Figure BDA00020780417200000420
the cooling mode is the cooling mode of the ith conventional cold water main machine at the moment t; n is a radical of WC The number of the conventional cold water main machines is counted;
Figure BDA00020780417200000421
the lower limit and the upper limit of the refrigeration power are respectively; omega WC Is a collection of conventional cold water hosts;
Figure BDA00020780417200000422
consuming power for a conventional water chilling unit at time t;
Figure BDA00020780417200000423
is the coefficient of performance of a conventional cold water main engine; p WC,CWP 、P WC,CP And P WC,CT The rated power of the interlocking chilled water pump, the cooling water pump and the open cooling tower of the conventional cold water main machine are respectively.
(4) The ice storage system operation constraint is expressed as
Figure BDA00020780417200000424
Figure BDA00020780417200000425
Figure BDA00020780417200000426
Figure BDA00020780417200000427
Figure BDA00020780417200000428
Figure BDA0002078041720000051
Figure BDA0002078041720000052
Figure BDA0002078041720000053
Figure BDA0002078041720000054
Figure BDA0002078041720000055
In the formula (I), the compound is shown in the specification,
Figure BDA0002078041720000056
the refrigeration power of the ice cold storage system and the ice storage tank at the moment t;
Figure BDA0002078041720000057
the refrigeration and ice making powers of the ith double-working-condition host at the moment t are respectively;
Figure BDA0002078041720000058
the lower limit and the upper limit of the refrigeration power of the dual-working-condition main machine;
Figure BDA0002078041720000059
the lower limit and the upper limit of the ice making power are set;
Figure BDA00020780417200000510
the operation mode of refrigeration and ice making of the ith dual-working-condition host at the moment t;
Figure BDA00020780417200000511
Figure BDA00020780417200000512
a refrigeration and ice-making operation mode of the double-working-condition unit at the moment t;
Figure BDA00020780417200000513
the operation mode of the freezing water pump of the ith ice storage system at the moment t; n is a radical of IS,CWP The number of the refrigeration water pumps of the ice cold storage system is equal to that of the refrigeration water pumps of the ice cold storage system;
Figure BDA00020780417200000514
cold energy is stored in the ice storage tank at the moment t;W IT
Figure BDA00020780417200000515
the lower limit and the upper limit of the cold quantity are stored for the ice storage tank; epsilon IT The self-cooling rate of the ice storage tank;
Figure BDA00020780417200000516
the upper limit of the cold discharge power of the ice storage tank is set;
Figure BDA00020780417200000517
the upper limit of the refrigeration power of a single refrigeration water pump is set; omega DC The method comprises the following steps of (1) being a set of dual-working-condition hosts;
Figure BDA00020780417200000518
the power consumption of the ice storage system is t moment; COP i DC,C 、COP i DC,I Coefficient of performance of refrigeration and ice making for dual-working condition main machine, P EP 、P DC,CP 、P DC,CT 、P IS,CWP Respectively the rated power of the glycol solution pump, the cooling water pump, the open cooling tower and the freezing water pump.
(5) The gas turbine operating constraints are expressed as
Figure BDA00020780417200000519
Figure BDA00020780417200000520
Figure BDA00020780417200000521
In the formula (I), the compound is shown in the specification,
Figure BDA00020780417200000522
indicating the gas turbine consumed gas power at time t,
Figure BDA00020780417200000523
and
Figure BDA00020780417200000524
representing the power generated and the power generated by the gas turbine at time t, eta GT For efficiency of power generation, α GT For gas-fired wheelsMechanical to thermal power ratio, P GT,R The rated power of the gas turbine.
(6) The operating constraint of the absorption chiller is expressed as
Figure BDA00020780417200000525
Figure BDA00020780417200000526
Figure BDA00020780417200000527
In the formula (I), the compound is shown in the specification,
Figure BDA00020780417200000528
the refrigerating power of the absorption refrigerating equipment is shown,
Figure BDA00020780417200000529
indicating the heat power consumed, COP, by an absorption refrigerator AC Expressing coefficient of performance, i.e. heat-cold ratio, Q, of absorption chiller AC,R The rated capacity of the heat absorption refrigerating equipment.
(7) The cold/electricity supply and demand balance constraint is expressed as
Figure BDA00020780417200000530
Figure BDA00020780417200000531
Figure BDA00020780417200000532
Figure BDA0002078041720000061
In the formula (I), the compound is shown in the specification,
Figure BDA0002078041720000062
for the time t the system cold load,
Figure BDA0002078041720000063
for the time t the electrical load of the system,
Figure BDA0002078041720000064
is respectively the output power of the photovoltaic system at the time t and the power of the tie line P t TL,max For maximum allowable power value of the tie line, P GT,max The maximum allowable gas purchasing power value is obtained.
3) And (3) calculating the rolling calculation stage of the reserve capacity of the stored energy: according to the prediction information of the load and the illumination intensity of the air-electric coupling comprehensive energy system in the fault domain, selecting the minimum initial value of the cold storage device of the air-electric coupling comprehensive energy system in each rolling time period as a target function, considering the equipment operation constraint and the constraint of meeting the set proportional load, and generating the minimum energy storage reserve capacity value which can meet the set proportional load requirement of the air-electric coupling comprehensive energy system when the power and air source end has a fault;
(1) The minimum initial value of the system cold accumulation device in each rolling time interval is selected as an objective function and is expressed as follows:
Figure BDA0002078041720000065
in the formula, t S Is the starting time of the rolling optimization schedule,
Figure BDA0002078041720000066
are each t S The standby capacity of the cold storage water tank and the ice storage tank at any moment; wherein type E { E, G }, E represents the power failure, G represents the gas failure.
(2) The set proportion load satisfying the constraint is expressed as follows:
Figure BDA0002078041720000067
Figure BDA0002078041720000068
in the formula, R C 、R E Respectively representing the minimum satisfying proportion (namely the important cold and electric load proportion) of the cold load and the electric load.
When the power is in fault, the power of the tie line is zero in the fault period; when the gas is in fault, the gas purchasing power in the fault time interval is zero, and the following formula is shown:
Figure BDA0002078041720000069
Figure BDA00020780417200000610
in the formula (I), the compound is shown in the specification,
Figure BDA00020780417200000611
respectively, power failure and gas failure duration.
A compact form of the stored energy backup roll calculation can be written as:
Figure BDA00020780417200000612
for each operating time, a minimum reserve capacity value can then be determined:
Figure BDA00020780417200000613
in the formula
Figure BDA00020780417200000614
Are each t S Energy storage backup device required under power failure and gas failure at any momentCapacity is used.
4) Carrying out optimization scheduling in a day-ahead economic scheduling stage: according to illumination intensity information, cold load and electric load prediction information and a generated energy storage reserve capacity value in a day-ahead scheduling period, selecting the minimum running cost of the gas-electricity coupling comprehensive energy system in a complete scheduling period as a target function, and generating a scheduling plan comprising running cost, host start-stop instructions, running conditions, energy supply power, energy supply instructions of an energy storage device and power of the gas-electricity coupling comprehensive energy system in multiple periods of the day-ahead by considering equipment running constraints, cold/electricity supply and demand balance constraints and heat storage device reserve constraints;
(1) The minimum system running cost in a complete scheduling period is selected as an objective function and is expressed as follows:
Figure BDA00020780417200000615
in the formula (I), the compound is shown in the specification,
Figure BDA00020780417200000616
represents the price of the power purchased at the time t,
Figure BDA00020780417200000617
indicating the gas purchase price at time t, N T The number of intervals is scheduled for one complete scheduling period.
(2) The thermal storage device backup constraints are expressed as:
Figure BDA00020780417200000618
Figure BDA0002078041720000071
Figure BDA0002078041720000072
in the formula (I), the compound is shown in the specification,
Figure BDA0002078041720000073
the cold storage amount of the energy storage device at the time t,
Figure BDA0002078041720000074
the cold accumulation amounts W of the cold accumulation water tank and the ice accumulation tank at the time t t TS,R For the backup capacity of the thermal storage device at time t,
Figure BDA0002078041720000075
respectively as the initial cold quantity of the cold storage water tank and the ice storage tank, N T And for the number of the scheduling intervals of a complete scheduling period, a capacity subscript suffix F, B in the formula respectively represents the relevant parameters of the next scheduling day and the previous scheduling day.
The compact form of economic dispatch day ahead is written as:
Figure BDA0002078041720000076
5) Performing optimized scheduling of a real-time operation stage: when the gas and power supply is normal, executing the plan in the step 4), when the gas or power supply is failed, switching the gas-electric coupling comprehensive energy system to a failure operation mode, selecting the minimum sum of the running cost and the load loss cost of the gas-electric coupling comprehensive energy system in the remaining scheduling period from the failure occurrence period to the scheduling period end period as a target function, wherein the running cost of the gas-electric coupling comprehensive energy system comprises the electricity purchasing cost and the gas purchasing cost, considering the equipment running constraint, the supply and demand balance constraint and meeting the set proportion load constraint, preferentially meeting the set proportion load energy demand, generating a scheduling plan of the gas-electric coupling comprehensive energy system in the remaining scheduling period, comprising the running cost, the host start-stop instruction, the operation condition, the energy supply power, the energy supply instruction of the energy storage device and the power, and executing the plan.
(1) The objective function is expressed as:
Figure BDA0002078041720000077
in the formula (I), the compound is shown in the specification,
Figure BDA0002078041720000078
represents the price of the power purchased at the time t,
Figure BDA0002078041720000079
for the electrical power on the system link at time t,
Figure BDA00020780417200000710
the price of gas purchase at the moment of t is shown,
Figure BDA00020780417200000711
gas power consumed by the gas turbine at time t, t OUT In order to be the starting time of the fault,
Figure BDA00020780417200000712
respectively cold and electrical loads not satisfied at time t, E C 、E E Respectively, the punishment cost of unit not meeting the cooling load and the electric load, delta t is the dispatching step length, N T The number of scheduling intervals for one complete scheduling period.
(2) The supply and demand balance constraint is expressed as:
Figure BDA00020780417200000713
Figure BDA00020780417200000714
(3) The set proportion load satisfying the constraint is expressed as:
Figure BDA00020780417200000715
Figure BDA00020780417200000716
if when electric power, gas trouble take place, trouble period tie line power, gas injection power are zero, see following formula:
Figure BDA00020780417200000717
Figure BDA00020780417200000718
the compact form of the fail-run mode optimization schedule is written as:
Figure BDA00020780417200000719
the elastic scheduling method of the gas-electricity coupling comprehensive energy system considering energy storage standby is based on a gas-electricity complementary operation idea and standby response capacity of energy storage equipment, and solves a multi-stage elastic scheduling strategy by adopting a relevant solver to obtain a system operation scheme in a scheduling period.
For the embodiment of the invention, firstly, the electricity price information and the gas price are input, and the system has an electric load predicted value, a cold load predicted value and an illumination intensity predicted value in a scheduling period; and then inputting initial values of variables or parameters such as the composition of centralized energy station equipment, equipment operation parameters, the current cold storage capacity stored in the cold storage equipment, system scheduling intervals, set proportion load proportion, unsatisfied load penalty cost, power supply and gas supply interruption time and the like. In the gas-electric coupling integrated energy system shown in fig. 2, the power demand is satisfied by an external power grid and a photovoltaic system; air conditioner cold water generated by the centralized energy station is conveyed to each building through an energy supply pipeline, and the cooling demand is met through a fan coil. The centralized energy source station comprises: the system comprises 3 ground source heat pumps, 2 cold accumulation water tanks, 2 conventional cold water main machines, a group of ice cold accumulation subsystems (two double-working-condition main machines and one ice accumulation tank), a gas turbine and an absorption refrigerator. The detailed parameters are shown in Table 1. The initial values of cold storage capacity of the cold storage water tank and the ice cold storage tank are both 0; the system scheduling interval is 1h; peak power price 1.35/kWh (8-00-11, 18, 00-23), valley power price 0.47/kWh (00-7, 23-00; the interruption duration of power supply and gas supply is 2 hours/time and 4 hours/time respectively; setting the minimum satisfying proportion of electricity load and cold load as 70 percent and 80 percent respectively; the penalty fees for not meeting the electricity load and the cold load are respectively 100 yuan/kWh and 60 yuan/kWh.
The cold power balance and the electric power balance in the day-ahead scheduling stage are shown in fig. 3 and fig. 4, and the relation between the cold capacity stored in the energy storage device and the minimum reserve capacity is shown in fig. 5. And comparing whether the operation cost of the system during the energy storage standby is considered, wherein the result is shown in a table 2, wherein the standby of the energy storage capacity is not considered in the strategy 1, and the standby of the energy storage capacity is considered in the strategy 2. When a power supply fault occurs in 22.
The computer hardware environment for executing the optimized calculation is Intel (R) Xeon (R) CPU E5-2603, the dominant frequency is 1.60GHz, and the internal memory is 8GB; the software environment is a Windows 10 operating system.
As can be seen from cold power balance and electric power distribution in the day-ahead scheduling stage, in the valley electricity price period, the electricity price is lower, the system preferentially purchases electricity to an external power grid to meet the cold and electricity requirements, and the insufficient part is supplemented by gas consumed by a gas turbine; in off-peak electricity price periods, the electricity price is higher, the gas turbine runs at higher power, and the insufficient cold and electricity requirements are met by purchasing electricity to an external power grid. The scheduling strategy can better realize the optimization and coordination of the gas driving equipment and the electric driving equipment, and the complementary advantages of different energy driving devices are exerted according to the change of the energy price, so that the reduction of the operating cost is realized.
It can be seen from the relation between the stored cold capacity of the energy storage device and the minimum reserve capacity that the stored cold capacity of the energy storage device is considered, the stored cold capacity of the energy storage device is all larger than the required reserve value, and the system can meet the important cold/electric load when the gas and power supply faults occur. It can be seen from the comparison of whether the system operation cost of energy storage standby is considered, after the energy storage standby is considered, the operation cost is slightly increased (514.2 yuan, the change proportion is 0.54%) due to the increase of the whole storage cold quantity, particularly due to the standby of the energy stored in the scheduling end period, and the reliable supply of the load with the set proportion is ensured at the expense of smaller standby cost.
From 22; in a scheduling strategy without considering energy storage standby, the power load satisfaction rate is far lower than a set proportion load proportion, and the normal production and domestic power utilization requirements of a park are seriously influenced. Therefore, the energy storage standby scheduling strategy fully exerts the response capability of the energy storage device in emergency, and the supply of the set proportion load in fault is realized through a certain capacity standby.
In conclusion, the elastic scheduling method of the gas-electricity coupling comprehensive energy system considering energy storage reserve fully considers the gas-electricity complementary operation characteristic and the response capability of the heat storage device, better realizes the coordinated operation of various energy supply and storage devices, enhances the adaptability of the system to source end faults with lower economic cost, and can economically and reliably meet the energy demand of users.
TABLE 1 centralized energy station architecture and parameters
Figure BDA0002078041720000091
TABLE 2 comparison of operating costs for different scheduling strategies
Figure BDA0002078041720000101
Table 3 failure period (22
Figure BDA0002078041720000102

Claims (4)

1. An elastic scheduling method of a gas-electric coupling comprehensive energy system considering energy storage standby is characterized by comprising the following steps:
1) Inputting electricity price and gas price information according to the selected gas-electricity coupling comprehensive energy system, reading predicted values of electric load, cold load and illumination intensity, and inputting equipment composition of the centralized energy station, equipment operation parameters, current stored energy of the energy storage equipment, a gas-electricity coupling comprehensive energy system scheduling interval, a minimum load satisfying proportion, unsatisfied load punishment cost, power supply and gas supply interruption duration parameters;
2) Establishing equipment operation constraint and cold/electricity supply and demand balance constraint of the gas-electricity coupling comprehensive energy system according to the structure and parameters of the gas-electricity coupling comprehensive energy system provided in the step 1), wherein the equipment operation constraint comprises ground source heat pump unit operation constraint, cold storage water tank operation constraint, conventional water chilling unit operation constraint, ice cold storage system operation constraint, gas turbine operation constraint and absorption type refrigerator operation constraint;
3) And (3) performing calculation of an energy storage reserve capacity rolling calculation stage: according to the prediction information of the load and the illumination intensity of the air-electric coupling comprehensive energy system in the fault domain, selecting the minimum initial value of the cold storage device of the air-electric coupling comprehensive energy system in each rolling time period as a target function, considering the equipment operation constraint and the constraint of meeting the set proportional load, and generating the minimum energy storage reserve capacity value which can meet the set proportional load requirement of the air-electric coupling comprehensive energy system when the power and air source end has a fault;
4) Carrying out optimization scheduling in a day-ahead economic scheduling stage: according to illumination intensity information, cold load and electric load prediction information and a generated energy storage reserve capacity value in a day-ahead scheduling period, selecting the minimum running cost of the gas-electricity coupling comprehensive energy system in a complete scheduling period as a target function, and generating a scheduling plan comprising running cost, host start-stop instructions, running conditions, energy supply power, energy supply instructions of an energy storage device and power of the gas-electricity coupling comprehensive energy system in multiple periods of the day-ahead by considering equipment running constraints, cold/electricity supply and demand balance constraints and heat storage device reserve constraints;
5) Performing optimized scheduling of a real-time operation stage: when the gas and power supply is normal, executing the plan in the step 4), when the gas or power supply has a fault, switching the gas-electric coupling comprehensive energy system to a fault operation mode, selecting the minimum sum of the gas-electric coupling comprehensive energy system operation cost and the load loss cost in the remaining scheduling period from the fault occurrence period to the scheduling period end period as a target function, wherein the gas-electric coupling comprehensive energy system operation cost comprises electricity purchasing cost and gas purchasing cost, considering equipment operation constraint, supply and demand balance constraint and meeting set proportion load constraint, preferentially meeting the set proportion load energy utilization requirement, generating a scheduling plan of the gas-electric coupling comprehensive energy system in the remaining scheduling period, comprising operation cost, host start and stop instructions, operation conditions, energy supply power, energy storage device energy supply instructions and power, and executing the plan.
2. The flexible scheduling method of the integrated gas-electric coupling energy system considering energy storage backup as claimed in claim 1, wherein the initial value of the system cold accumulation device in each rolling period in step 3) is selected as a minimum objective function, and is represented as:
Figure FDA0002078041710000011
in the formula, t S Is the starting time of the rolling optimization schedule,
Figure FDA0002078041710000012
are each t S The standby capacity of the cold storage water tank and the ice storage tank at any moment; where type ∈ { E, G }, E denotes a power failure, and G denotes a gas failure.
3. The flexible dispatching method for the gas-electric coupling integrated energy system considering the energy storage standby as claimed in claim 1, wherein the backup constraint of the heat storage device in the step 4) is expressed as:
Figure FDA0002078041710000013
Figure FDA0002078041710000021
Figure FDA0002078041710000022
in the formula (I), the compound is shown in the specification,
Figure FDA0002078041710000023
the cold storage amount of the energy storage device at the time t,
Figure FDA0002078041710000024
the cold accumulation amounts W of the cold accumulation water tank and the ice accumulation tank at the time t t TS,R For the backup capacity of the thermal storage device at time t,
Figure FDA0002078041710000025
respectively as the initial cooling capacity of the cold storage water tank and the ice storage tank, N T The suffix F, B in the capacity subscript represents the next scheduling day and the last scheduling day related parameters, respectively, for the number of scheduling intervals of one complete scheduling cycle.
4. The flexible dispatching method for the gas-electric coupling integrated energy system considering energy storage backup as claimed in claim 1, wherein the objective function in step 5) is expressed as:
Figure FDA0002078041710000026
in the formula (I), the compound is shown in the specification,
Figure FDA0002078041710000027
represents the price of the power purchased at the time t,
Figure FDA0002078041710000028
for the electrical power on the system link at time t,
Figure FDA0002078041710000029
the price of gas purchase at the moment of t is shown,
Figure FDA00020780417100000210
gas power consumed by the gas turbine at time t, t OUT In order to be the starting time of the fault,
Figure FDA00020780417100000211
respectively cold and electrical loads not satisfied at time t, E C 、E E Respectively, the punishment cost of unit not meeting the cooling load and the electric load, delta t is the dispatching step length, N T The number of scheduling intervals for one complete scheduling period.
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Publication number Priority date Publication date Assignee Title
CN111555280B (en) * 2020-05-29 2022-04-29 山东大学 Elastic power distribution network post-disaster recovery control method based on electricity-gas comprehensive energy system
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106602552A (en) * 2016-12-20 2017-04-26 广东电网有限责任公司电力调度控制中心 Power-gas combined scheduling method and system
CN107807523A (en) * 2017-10-18 2018-03-16 国网天津市电力公司电力科学研究院 Consider the Regional Energy internet multi-source coordination optimization operation reserve of tou power price
CN108764758A (en) * 2018-06-20 2018-11-06 广州供电局有限公司 The Synergistic method of meter and the electric power and natural gas interacted system of demand side management
CN108830743A (en) * 2018-05-25 2018-11-16 天津大学 Consider the garden integrated energy system Optimization Scheduling of a variety of cold-storage devices
CN108964041A (en) * 2018-07-23 2018-12-07 燕山大学 A kind of control method of electricity-interconnection integrated energy system peak load deliverability
CN109063992A (en) * 2018-07-18 2018-12-21 国网重庆市电力公司经济技术研究院 Consider the power distribution network Expansion Planning method of regional complex energy resource system optimization operation
CN109636052A (en) * 2018-12-20 2019-04-16 上海电力学院 A kind of collaborative planning method of gas electric system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9558250B2 (en) * 2010-07-02 2017-01-31 Alstom Technology Ltd. System tools for evaluating operational and financial performance from dispatchers using after the fact analysis

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106602552A (en) * 2016-12-20 2017-04-26 广东电网有限责任公司电力调度控制中心 Power-gas combined scheduling method and system
CN107807523A (en) * 2017-10-18 2018-03-16 国网天津市电力公司电力科学研究院 Consider the Regional Energy internet multi-source coordination optimization operation reserve of tou power price
CN108830743A (en) * 2018-05-25 2018-11-16 天津大学 Consider the garden integrated energy system Optimization Scheduling of a variety of cold-storage devices
CN108764758A (en) * 2018-06-20 2018-11-06 广州供电局有限公司 The Synergistic method of meter and the electric power and natural gas interacted system of demand side management
CN109063992A (en) * 2018-07-18 2018-12-21 国网重庆市电力公司经济技术研究院 Consider the power distribution network Expansion Planning method of regional complex energy resource system optimization operation
CN108964041A (en) * 2018-07-23 2018-12-07 燕山大学 A kind of control method of electricity-interconnection integrated energy system peak load deliverability
CN109636052A (en) * 2018-12-20 2019-04-16 上海电力学院 A kind of collaborative planning method of gas electric system

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
Integrated Energy Planning Considering Natural Gas and Electric Coupling;Xiangrui Liu等;《2018 China International Conference on Electricity Distribution (CICED)》;20181231;全文 *
Study on coupled planning of power grid and gas network considering P2G device;Dongsen Li;《2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)》;20180104;全文 *
人工智能在电力系统及综合能源系统中的应用综述;杨 挺等;《电力系统自动化》;20190110;全文 *
基于多能协同策略的能源互联微网研究;程林等;《电网技术》;20160131;全文 *
考虑电热气耦合的综合能源系统规划方法;雷金勇等;《电力系统及自动化学报》;20190131;全文 *
计及微电源效率约束的多源微网优化调度;林俐等;《现代电力》;20190417;全文 *

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