CN110222970A - Consider that the spare gas-of energy storage is electrically coupled integrated energy system flexible scheduling method - Google Patents
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Abstract
It is a kind of to consider that the spare gas-of energy storage is electrically coupled integrated energy system flexible scheduling method, comprising: integrated energy system to be electrically coupled according to selected gas-, input gas-is electrically coupled the structure and parameter of integrated energy system；It establishes gas-and is electrically coupled integrated energy system equipment operation constraint and cold/electric equilibrium of supply and demand constraint；Carry out the calculating in energy storage spare capacity rolling calculation stage；Carry out the Optimized Operation of economic dispatch stage a few days ago；Carry out the Optimized Operation in real time execution stage.The present invention is electrically coupled the Optimal Scheduling of integrated energy system based on solution gas-, fully consider the complementary coordinative role of power driven equipment, gas driven equipment, and play the responding ability of in emergency circumstances energy storage equipment, it establishes and considers that energy storage cushion gas-is electrically coupled integrated energy system multistage flexible scheduling model, load restoration scheme when obtaining system operation plan and failure occurring a few days ago.
Description
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 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 ensure the supply of important loads when gas (electricity) is interrupted, the function of auxiliary standby of the heat storage device needs to be exerted in addition to the main standby function of an electricity (electricity) independent system.
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 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 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 end period of the scheduling cycle 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, and generating the scheduling plan of the gas-electric coupling comprehensive energy system in the remaining scheduling period, comprising the running cost, the host start and stop instruction, the operation condition, the energy supply power, the energy supply instruction of the energy storage device and the power, and executes 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:
in the formula, tSIs the starting time of the rolling optimization schedule,are each tSThe 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:
in the formula,the cold storage amount of the energy storage device at the time t,the cold accumulation amounts W of the cold accumulation water tank and the ice accumulation tank at the time tt TS,RFor the backup capacity of the thermal storage device at time t,respectively as the initial cooling capacity of the cold storage water tank and the ice storage tank, NTThe capacity subscript suffix F, B represents the next and last scheduling day related parameters, respectively, for the number of scheduling intervals of a complete scheduling cycle.
The objective function in step 5) is expressed as:
in the formula,represents the price of the power purchased at the time t,for the electrical power on the system link at time t,the price of gas purchase at the moment of t is shown,gas power consumed by the gas turbine at time t, tOUTIn order to be the starting time of the fault,respectively cold and electrical loads not satisfied at time t, EC、EERespectively, the punishment cost of unit not meeting the cooling load and the electric load, delta t is the dispatching step length, NTThe 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,
(1) the operation constraint of the ground source heat pump unit is expressed as
In the formula,the cooling power and the cold accumulation power of the ith ground source heat pump are respectively at the moment t;the ith ground source heat pump refrigeration and cold accumulation operation modes at the moment t are respectively;respectively the minimum and maximum refrigeration power of the heat pump host;respectively performing cold supply and cold accumulation operation modes for the ground source heat pump system at the time t; omegaHPIs a set of ground source heat pump hosts; n is a radical ofHPThe number of the ground source heat pump main machines is;the power consumed by the heat pump unit at the moment t;is the ith heat pump coefficient of performance (COP), PHP,CWPAnd PHP,CPRated power, P, for the heat pump main unit interlocking chilled water pump and cooling water pump respectivelyWT,CWP,1And PWT,CWP,2The rated power of the cold storage circulation pump and the interlocked cold discharge circulation pump during cold storage are respectively.
(2) The cold storage water tank operation constraint is expressed as
In the formula,the cold supply power of the cold storage water tank is t moment;the upper limit of the refrigeration power of a single refrigeration water pump is set;
NWT,CWPthe 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;the cooling operation mode of the ith cold storage water tank water pump at the moment t;the upper limit of the cold energy stored in the cold storage water tank at the time t and the upper limit of the cold energy stored in the single cold storage water tank are set; n is a radical ofWTThe number of the cold accumulation water tanks is; epsilonWTThe self-cooling rate of the cold storage water tank is obtained; delta t is a scheduling step length;the power consumption of the cold accumulation water tank is reduced;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
In the formula,the refrigeration power of the ith conventional cold water main machine at the moment t;the cooling mode is the cooling mode of the ith conventional cold water main machine at the moment t; n is a radical ofWCThe number of the conventional cold water main machines is counted;the lower limit and the upper limit of the refrigeration power are respectively; omegaWCIs a collection of conventional cold water hosts;consuming power for a conventional water chilling unit at time t;is the coefficient of performance of a conventional cold water main engine; pWC,CWP、PWC,CPAnd PWC,CTThe 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
In the formula,the refrigeration power of the ice cold storage system and the ice storage tank at the moment t;the refrigeration and ice making powers of the ith dual-working-condition host at the moment t are respectively;the lower limit and the upper limit of the refrigeration power of the dual-working-condition main machine;the lower limit and the upper limit of the ice making power are set;the operation mode of refrigeration and ice making of the ith dual-working-condition host at the moment t; the operation mode of refrigerating and ice-making of the double-working-condition unit at the time t is shown;at time ti, operating modes of the refrigeration water pumps of the ice storage system; n is a radical ofIS,CWPThe 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;cold energy is stored in the ice storage tank at the moment t;W IT、the lower limit and the upper limit of the cold quantity are stored for the ice storage tank; epsilonITThe self-cooling rate of the ice storage tank;the upper limit of the cold discharge power of the ice storage tank is set;the upper limit of the refrigeration power of a single refrigeration water pump is set; omegaDCThe method comprises the following steps of (1) being a set of dual-working-condition hosts;the power consumption of the ice storage system is t moment; COPi DC,C、COPi DC,ICoefficient of performance of refrigeration and ice making for dual-working condition main machine, PEP、PDC,CP、PDC,CT、PIS,CWPRespectively 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
In the formula,indicating the gas turbine consuming gas power at time t,andrepresenting the power generated and the power generated by the gas turbine at time t, ηGTFor efficiency of electricity generation, αGTIs the gas turbine heat-to-power ratio, PGT,RThe rated power of the gas turbine.
(6) The absorption chiller operating constraint is expressed as
In the formula,the refrigerating power of the absorption refrigerating equipment is shown,indicating the heat power consumed, COP, by an absorption refrigeratorACIndicating absorption chiller performanceCoefficient, i.e. heat-cold ratio, QAC,RThe rated capacity of the heat absorption refrigeration equipment.
(7) The cold/electricity supply and demand balance constraint is expressed as
In the formula,for the time t the system cold load,for the time t the electrical load of the system,is respectively the output power of the photovoltaic system at the time t and the power of the tie line Pt TL,maxFor maximum allowable power value of the tie line, PGT,maxThe maximum allowable gas purchasing power value is obtained.
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;
(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:
in the formula, tSIs the starting time of the rolling optimization schedule,are each tSThe 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:
in the formula, RC、RERespectively 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:
in the formula,respectively, power failure and gas failure duration.
A compact form of the stored energy backup roll calculation can be written as:
for each operating time, a minimum reserve capacity value can then be determined:
in the formulaAre each tSThe energy storage reserve capacity required under the power failure and the gas failure at any moment.
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:
in the formula,represents the price of the power purchased at the time t,indicating the gas purchase price at time t, NTThe number of intervals is scheduled for one complete scheduling period.
(2) The thermal storage device backup constraints are expressed as:
in the formula,the cold storage amount of the energy storage device at the time t,respectively storing cold water at the time tCold storage capacity, W, of tanks and ice storage tankst TS,RFor the backup capacity of the thermal storage device at time t,respectively as the initial cooling capacity of the cold storage water tank and the ice storage tank, NTThe capacity subscript suffix F, B represents the next and last scheduling day related parameters, respectively, for the number of scheduling intervals of a complete scheduling cycle.
The compact form of economic dispatch day ahead is written as:
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 end period of the scheduling cycle 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, and generating the scheduling plan of the gas-electric coupling comprehensive energy system in the remaining scheduling period, comprising the running cost, the host start and stop instruction, the operation condition, the energy supply power, the energy supply instruction of the energy storage device and the power, and executes the plan.
(1) The objective function is expressed as:
in the formula,represents the price of the power purchased at the time t,for the electrical power on the system link at time t,the price of gas purchase at the moment of t is shown,gas power consumed by the gas turbine at time t, tOUTIn order to be the starting time of the fault,respectively cold and electrical loads not satisfied at time t, EC、EERespectively, the punishment cost of unit not meeting the cooling load and the electric load, delta t is the dispatching step length, NTThe number of scheduling intervals for one complete scheduling period.
(2) The supply and demand balance constraint is expressed as:
(3) the set proportion load satisfying the constraint is expressed as:
if when electric power, gas trouble take place, trouble period tie line power, gas injection power are zero, see following formula:
the compact form of the fail-run mode optimization schedule is written as:
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; the centralized energy station generates air conditioner cold water which is conveyed to each building through an energy supply pipeline, and the fan coil pipe meets the cooling demand. 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 1 h; peak electricity price of 1.35 yuan/kWh (8:00-11:00, 18:00-23:00), valley electricity price of 0.47 yuan/kWh (00:00-7:00, 23:00-00:00), and ordinary electricity price of 0.89 yuan/kWh (7:00-8:00, 11:00-18: 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 to be 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 failure occurs at 22:00, whether system load satisfaction under the scheduling strategy of energy storage standby is considered is shown in table 3.
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 memory is 8 GB; 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.
As can be seen from the load satisfaction condition when the power supply failure occurs at 22:00, after the energy storage standby is considered, the important cold and power loads of the system in the failure time domain are completely satisfied; 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 for energy storage standby fully considers the gas-electricity complementary operation characteristic and the response capability of the heat storage device, well 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
TABLE 2 comparison of operating costs for different scheduling strategies
TABLE 3 Fault time period (22:00-00:00) load satisfaction
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 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 end period of the scheduling cycle 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, and generating the scheduling plan of the gas-electric coupling comprehensive energy system in the remaining scheduling period, comprising the running cost, the host start and stop instruction, the operation condition, the energy supply power, the energy supply instruction of the energy storage device and the power, and executes 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:
in the formula, tSIs the starting time of the rolling optimization schedule,are each tSThe 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.
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:
in the formula,the cold storage amount of the energy storage device at the time t,the cold accumulation amounts W of the cold accumulation water tank and the ice accumulation tank at the time tt TS,RFor the backup capacity of the thermal storage device at time t,respectively as the initial cooling capacity of the cold storage water tank and the ice storage tank, NTThe capacity subscript suffix F, B represents the next and last scheduling day related parameters, respectively, for the number of scheduling intervals of a complete scheduling cycle.
4. The flexible dispatching method for the gas-electric coupling integrated energy system considering the energy storage standby as claimed in claim 1, wherein the objective function of the step 5) is expressed as:
in the formula,represents the price of the power purchased at the time t,for the electrical power on the system link at time t,the price of gas purchase at the moment of t is shown,gas power consumed by the gas turbine at time t, tOUTIn order to be the starting time of the fault,respectively cold and electrical loads not satisfied at time t, EC、EERespectively, the punishment cost of unit not meeting the cooling load and the electric load, delta t is the dispatching step length, NTThe number of scheduling intervals for one complete scheduling period.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111555280A (en) * | 2020-05-29 | 2020-08-18 | 山东大学 | Elastic power distribution network post-disaster recovery control method based on electricity-gas comprehensive energy system |
| CN112381672A (en) * | 2020-12-03 | 2021-02-19 | 上海交通大学 | Energy supply fault processing method of industrial park comprehensive energy system considering energy storage cooperation |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110055287A1 (en) * | 2010-07-02 | 2011-03-03 | David Sun | System tools for evaluating operational and financial performance from dispatchers using after the fact analysis |
| 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 |
-
2019
- 2019-05-30 CN CN201910460944.XA patent/CN110222970B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110055287A1 (en) * | 2010-07-02 | 2011-03-03 | David Sun | System tools for evaluating operational and financial performance from dispatchers using after the fact analysis |
| 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)
| Title |
|---|
| DONGSEN LI: "Study on coupled planning of power grid and gas network considering P2G device", 《2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2)》 * |
| XIANGRUI LIU等: "Integrated Energy Planning Considering Natural Gas and Electric Coupling", 《2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED)》 * |
| 杨 挺等: "人工智能在电力系统及综合能源系统中的应用综述", 《电力系统自动化》 * |
| 林俐等: "计及微电源效率约束的多源微网优化调度", 《现代电力》 * |
| 程林等: "基于多能协同策略的能源互联微网研究", 《电网技术》 * |
| 雷金勇等: "考虑电热气耦合的综合能源系统规划方法", 《电力系统及自动化学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111555280A (en) * | 2020-05-29 | 2020-08-18 | 山东大学 | Elastic power distribution network post-disaster recovery control method based on electricity-gas comprehensive energy system |
| CN112381672A (en) * | 2020-12-03 | 2021-02-19 | 上海交通大学 | Energy supply fault processing method of industrial park comprehensive energy system considering energy storage cooperation |
| CN112381672B (en) * | 2020-12-03 | 2022-05-20 | 上海交通大学 | Energy supply fault processing method of industrial park comprehensive energy system considering energy storage cooperation |
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