CN110889600A - Regional comprehensive energy system optimization scheduling method considering flexible thermal load - Google Patents
Regional comprehensive energy system optimization scheduling method considering flexible thermal load Download PDFInfo
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Abstract
A flexible heat load considered regional comprehensive energy system optimization scheduling method includes the steps of obtaining basic data of a regional comprehensive energy system to be optimized, constructing a flexible heat load model considering user work and rest rules based on the obtained basic data, establishing a regional comprehensive energy system day-ahead optimization scheduling model taking energy cost minimum as an objective function and taking electric power balance constraint, thermal power balance constraint, energy storage device energy storage constraint and the like as constraint conditions based on the model, solving the optimization scheduling model to obtain input and output of various devices and user indoor temperature change curves in the optimized regional comprehensive energy system, and scheduling the various devices according to the optimization scheme. The design not only effectively realizes electric heating coordinated scheduling and improves the flexibility of system operation, but also meets the diversified energy utilization requirements of users and reduces the cost of system operation.
Description
Technical Field
The invention belongs to the field of operation optimization of a comprehensive energy system in an electric power system, and particularly relates to a regional comprehensive energy system optimization scheduling method considering flexible heat load.
Background
Energy is an important foundation for economic and social development, and energy and environmental crisis are increasingly aggravated along with large-scale consumption of fossil fuels. The electric energy is used as main energy and power, has the advantages of easy generation, convenient transmission, convenient use, high utilization rate, small pollution and the like, and a comprehensive energy system taking electricity as a core is imperative. At present, in an energy supply system consisting of an electric power system, a heat energy system and a gas system, respective planning, independent design and independent operation modes are adopted, and when problems occur, the problems are only solved in each system independently, and systematicness and harmony are lacked. The existing independent planning and energy independent operation modes are broken through by constructing the comprehensive energy distribution system, and the aims of cleanness, high efficiency and reliability are realized from the aspect of total energy supply in the whole society in organic coordination in each stage of planning, operation and construction.
The operation optimization problem of the regional comprehensive energy system is highly concerned by scholars at home and abroad, the device types of the regional comprehensive energy system are various and the operation strategy is not unique in consideration of the requirements of users on various types of energy, and the mismatching of the thermoelectric ratio of the load side and the thermoelectric ratio of the source side of the regional comprehensive energy system is always an important influence factor for restricting the efficient operation of the system. At present, in economic dispatching, the contradiction of unmatched thermoelectric ratios between source loads is mainly adjusted through energy storage equipment, the complementary characteristics of multiple energy sources are not fully utilized, and the flexibility of system operation cannot be effectively improved.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides an optimal dispatching method for a regional comprehensive energy system, which considers the effect of flexible heat load on relieving the mismatch of thermoelectric ratio between source load, can effectively improve the operation flexibility of the system and reduce the patrol cost of the system.
In order to achieve the above purpose, the technical scheme of the invention is as follows: in a relatively small number of cases,
a regional comprehensive energy system optimal scheduling method considering flexible thermal load sequentially comprises the following steps:
a, acquiring basic data of a comprehensive energy system of a region to be optimized;
b, constructing the following flexible heat load model considering the work and rest rules of the user based on the obtained basic data:
in the above formula, Tin(t)、Tout(t) indoor and outdoor temperatures of the user in the period of t, R is the thermal resistance of the house, CairIs the specific heat capacity of air, H (t) is the thermal power of the user during the period t;
step C, establishing a regional comprehensive energy system day-ahead optimization scheduling model considering flexible heat load based on the model;
d, solving the optimized dispatching model obtained in the step C to obtain input and output of various devices in the optimized regional comprehensive energy system and indoor temperature change curves of users;
and E, scheduling various devices according to the optimization scheme.
In step C, the objective function of the optimized scheduling model is:
in the above formula, T is the total scheduling time, priceelec,tThe electricity price for purchasing or selling electricity from or to the grid during the period t of the system, Pex,tPrice being the power of interaction between the system and the distribution system at time tngFor electricity and natural gas unit heat value price, Png-gt,,tAnd Png-gb,tThe power consumed by the gas turbine and the gas boiler in the period t is respectively, and delta t is the unit scheduling duration.
The constraints of the objective function include:
electric power balance constraint:
Pload,t＝Pex,t+Pgt,t-Php,t-Q+(t)+Q-(t)
in the above formula, Pload,tNet electrical load demand for period t, Pgt,tElectric power of gas turbine for period t, Php,tElectric power consumed by the heat pump for a period of t, Q+(t)、Q-(t) the charging and discharging powers of the electrical energy storage device are respectively in the period of t;
and thermal power balance constraint:
in the above formula, Hload,tFor the heat load demand of period t, Qgt,tFor thermal power, Q, of the gas turbine during the period tgb,tIs the thermal power, Q, of the gas boiler during the period thp,tIs the thermal power of the heat pump during the period t, H+(t)、H-(t) the absorption and release power of the thermal energy storage device in the period of t, Hwater,tFor the demand of hot water load, NcThe number of heating households of the system;
energy storage device stored energy constraint:
in the above formula, EEES(t) the capacity of the electrical energy storage device during a period of time t,. tau.the self-discharge rate of the electrical energy storage device, A+、A-Respectively charging and discharging efficiency, H, of the electrical energy storage deviceES(t) capacity of the thermal energy storage device during t time period, mu self-heat release rate of the thermal energy storage device, B+、B-Respectively the heat absorption efficiency and the heat release efficiency of the heat energy storage equipment;
energy storage device charging and discharging power constraint:
in the above formula, δ1-、δ1+、δ2-、δ2+Are all integer variables of 0-1, delta when the electrical energy storage device is in a discharge state1-Take 1, delta 1+0 is taken, delta when the electrical energy storage device is in the charging state1-Take 0, delta1+1, when the heat energy storage device is in a heat release state, delta2-Take 1, delta 2+0 is taken, delta when the thermal energy storage device is in the heat absorption state2-Take 0, delta2+Take 1, Q- max、Q+ maxRespectively the maximum discharge power, the maximum charge power, H, of the electrical energy storage device- max、H+ maxThe maximum heat release power and the maximum heat absorption power of the heat energy storage equipment are respectively;
energy conversion equipment power constraint:
in the above formula, PgtFor electric power of gas turbines, ηgt-eRated efficiency, P, for conversion of natural gas to electricity by gas turbinesng-gtPower, Q, for natural gas input to gas turbinesgtFor thermal power of gas turbines, ηlFor heat dissipation loss rate, ηhrFor the thermal efficiency of the waste heat recovery device, QgbThermal power for gas-fired boilers, ηgbEfficiency of conversion of natural gas to heat by gas boiler，Png-gbFor the input of natural gas to the gas boiler, QhpTo the thermal power of the heat pump, ηhpFor the heating efficiency of the heat pump, PhpThe power input to the heat pump for natural gas;
and (3) network distribution interaction power constraint:
in the above formula, PexAnd the power of the distribution network tie line is obtained.
And D, solving the optimized scheduling model by adopting Cplex optimization software.
In the step A, the basic data comprise composition, composition structure and equipment parameters of the comprehensive energy system of the area to be optimized.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the flexible heat load model considering the work and rest rules of the user is constructed firstly, the daily optimized scheduling model considering the flexible heat load is established based on the model, then the optimized scheduling model is solved to obtain the input and output of various devices and the indoor temperature change curve of the user in the optimized regional integrated energy system, and finally the various devices are scheduled according to the optimized scheme. Therefore, the invention not only effectively improves the flexibility of system operation, but also meets the diversified energy utilization requirements of users.
2. The optimal scheduling model in the regional comprehensive energy system optimal scheduling method considering the flexible thermal load takes the minimum energy cost as a target function, and adopts various constraint conditions including electric power balance, thermal power balance, energy storage of energy storage equipment and the like. Therefore, the invention not only realizes the coordinated dispatching of electricity and heat, but also reduces the running cost of the system.
Drawings
Fig. 1 is a schematic structural diagram of a regional integrated energy system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a day-ahead optimized scheduling result of scenario one in the embodiment of the present invention.
Fig. 3 is a schematic diagram of a day-ahead optimized scheduling result of scenario two in the embodiment of the present invention.
Fig. 4 is a schematic diagram of a day-ahead optimized scheduling result of scenario three in the embodiment of the present invention.
FIG. 5 is a comparison graph of energy consumption cost under three scenarios in the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.
A regional comprehensive energy system optimal scheduling method considering flexible thermal load sequentially comprises the following steps:
a, acquiring basic data of a comprehensive energy system of a region to be optimized;
b, constructing the following flexible heat load model considering the work and rest rules of the user based on the obtained basic data:
in the above formula, Tin(t)、Tout(t) indoor and outdoor temperatures of the user in the period of t, R is the thermal resistance of the house, CairIs the specific heat capacity of air, H (t) is the thermal power of the user during the period t;
step C, establishing a regional comprehensive energy system day-ahead optimization scheduling model considering flexible heat load based on the model;
d, solving the optimized dispatching model obtained in the step C to obtain input and output of various devices in the optimized regional comprehensive energy system and indoor temperature change curves of users;
and E, scheduling various devices according to the optimization scheme.
In step C, the objective function of the optimized scheduling model is:
in the above formula, T is the total scheduling time, priceelec,tThe electricity price for purchasing or selling electricity from or to the grid during the period t of the system, Pex,tPrice being the power of interaction between the system and the distribution system at time tngFor electricity and natural gas unit heat value price, Png-gt,,tAnd Png-gb,tThe power consumed by the gas turbine and the gas boiler in the period t is respectively, and delta t is the unit scheduling duration.
The constraints of the objective function include:
electric power balance constraint:
Pload,t＝Pex,t+Pgt,t-Php,t-Q+(t)+Q-(t)
in the above formula, Pload,tNet electrical load demand for period t, Pgt,tElectric power of gas turbine for period t, Php,tElectric power consumed by the heat pump for a period of t, Q+(t)、Q-(t) the charging and discharging powers of the electrical energy storage device are respectively in the period of t;
and thermal power balance constraint:
in the above formula, Hload,tFor the heat load demand of period t, Qgt,tFor thermal power, Q, of the gas turbine during the period tgb,tIs the thermal power, Q, of the gas boiler during the period thp,tIs the thermal power of the heat pump during the period t, H+(t)、H-(t) the absorption and release power of the thermal energy storage device in the period of t, Hwater,tFor the demand of hot water load, NcThe number of heating households of the system;
energy storage device stored energy constraint:
in the above formula, EEES(t) the capacity of the electrical energy storage device during a period of time t,. tau.the self-discharge rate of the electrical energy storage device, A+、A-Respectively charging and discharging efficiency, H, of the electrical energy storage deviceES(t) capacity of the thermal energy storage device during t time period, mu self-heat release rate of the thermal energy storage device, B+、B-Respectively the heat absorption efficiency and the heat release efficiency of the heat energy storage equipment;
energy storage device charging and discharging power constraint:
in the above formula, δ1-、δ1+、δ2-、δ2+Are all integer variables of 0-1, delta when the electrical energy storage device is in a discharge state1-Take 1, delta 1+0 is taken, delta when the electrical energy storage device is in the charging state1-Take 0, delta1+1, when the heat energy storage device is in a heat release state, delta2-Take 1, delta 2+0 is taken, delta when the thermal energy storage device is in the heat absorption state2-Take 0, delta2+Take 1, Q- max、Q+ maxRespectively the maximum discharge power, the maximum charge power, H, of the electrical energy storage device- max、H+ maxThe maximum heat release power and the maximum heat absorption power of the heat energy storage equipment are respectively;
energy conversion equipment power constraint:
in the above formula, PgtFor electric power of gas turbines, ηgt-eRated efficiency, P, for conversion of natural gas to electricity by gas turbinesng-gtFor feeding natural gas to the combustionPower of gas turbine, QgtFor thermal power of gas turbines, ηlFor heat dissipation loss rate, ηhrFor the thermal efficiency of the waste heat recovery device, QgbThermal power for gas-fired boilers, ηgbFor the efficiency of conversion of natural gas to heat, P, by gas-fired boilersng-gbFor the input of natural gas to the gas boiler, QhpTo the thermal power of the heat pump, ηhpFor the heating efficiency of the heat pump, PhpThe power input to the heat pump for natural gas;
and (3) network distribution interaction power constraint:
in the above formula, PexAnd the power of the distribution network tie line is obtained.
And D, solving the optimized scheduling model by adopting Cplex optimization software.
In the step A, the basic data comprise composition, composition structure and equipment parameters of the comprehensive energy system of the area to be optimized.
The principle of the invention is illustrated as follows:
the invention provides a regional comprehensive energy system optimal scheduling method considering flexible thermal load, which is characterized in that the method carries out the daily optimal scheduling of the regional comprehensive energy system based on the work and rest rule of a user and the flexible thermal load requirement of the user, establishes a regional comprehensive energy system optimal scheduling model taking the minimum energy cost as a target function and taking electric power balance constraint, thermal power balance constraint, energy storage equipment energy storage constraint, energy storage equipment charge-discharge power constraint, energy conversion equipment power constraint and the like as constraint conditions, simultaneously optimizes the output of various equipment and the indoor temperature change of the user in the regional comprehensive energy system, can fully play the coordination and coordination of the flexible thermal load and a heat storage system and a heat pump on the premise of ensuring that the diversified energy requirement of the user is met, decouples thermoelectric constraint, and realizes electric power, heat and electric power consumption, And due to the hot coordinated scheduling, the flexibility of the system is effectively improved, and the running cost of the system is reduced.
User indoor temperature change curve: the indoor temperature change curve of the user obtained by the invention can better define the environment of the user, and the scheduling method is adjusted based on the user work and rest rule.
Example 1:
an optimized dispatching method of a regional comprehensive energy system considering flexible heat load is sequentially carried out according to the following steps:
step 1, obtaining basic data of the comprehensive energy system of the area to be optimized, wherein the basic data comprises components, a component structure, load levels of all time periods, equipment parameters, electricity and gas purchase prices of the comprehensive energy system of the area to be optimized, the system structure is shown in a figure 1, and other data are shown in a table 1:
TABLE 1(a) 24h purchase price of electricity and gas
TABLE 1(b) Total electrical load at each 24 hour period
TABLE 1(c) Fan output at each 24 hour period
TABLE 1(d) photovoltaic output at each 24 hour period
TABLE 1(e) Net Electrical load at 24 hours intervals
TABLE 1(f) Hot Water load at 24 hours intervals
TABLE 1(g) plant parameters
| Parameters of the equipment | Numerical value |
| Rated efficiency of gas turbine | 0.3 |
| Heat loss rate of gas turbine | 0.15 |
| Rated efficiency of waste heat recovery device | 0.82 |
| Rated efficiency of gas boiler | 0.86 |
| Rated efficiency of heat pump | 2.0 |
| Charging efficiency of electrical energy storage device | 0.9 |
| Discharge efficiency of electrical energy storage device | 0.9 |
| Self discharge rate of electrical energy storage device | 0.001 |
| Capacity of electric energy storage device | 1500kWh |
| Maximum charging power of electrical energy storage device | 375kW |
| Maximum discharge power of electrical energy storage device | 375kW |
| Thermal energy storage device charging efficiency | 0.9 |
| Discharge efficiency of thermal energy storage device | 0.9 |
| Self-discharge rate of thermal energy storage device | 0.01 |
| Thermal energy storage device capacity | 1000kWh |
| Maximum charging power of thermal energy storage device | 250kW |
| Maximum discharge power of thermal energy storage device | 250kW |
in the above formula, Tin(t)、Tout(t) the indoor and outdoor temperatures of the user in the period t (the specific values in each period are shown in Table 2), the unit degree C, R is the thermal resistance of the house, specifically 18 degree C/kW, CairSpecific heat capacity of air, specifically 0.525 kWh/deg.c, h (t) thermal power of the user during the period t;
TABLE 2(a) 24h outdoor temperature
TABLE 2(b) 24h indoor temperature range
| Time period | User status | Lower limit of temperature (. degree. C.) | Upper temperature limit (. degree.C.) |
| 07:00-11:00 | Nobody is indoor | - | - |
| 11:00-13:00 | |
20 | 24 |
| 13:00-17:00 | Nobody is indoor | - | - |
| 17:00-22:00 | |
20 | 24 |
| 22:00-7:00 | Sleep at |
12 | 19 |
And 3, establishing a regional comprehensive energy system day-ahead optimization scheduling model considering flexible thermal load based on the model, wherein an objective function of the optimization scheduling model is as follows:
in the above formula, T is the total scheduling time, priceelec,tunit/kW.h, P for the electricity price of purchasing or selling electricity from the grid during the period tex,tIs the interactive power between the system and the power distribution system at the moment t, in kW, if Pex,t>0, meaning the system purchases electricity from the distribution grid to meet the electrical load demand within the system; if Pex,t<0, meaning the system sells power to the distribution grid, pricengFor purchasing electricity and natural gas, the unit heat value price is unit/kW.h, Png-gt,,tAnd Png-gb,tThe unit kW and the unit Deltat are the power of gas consumed by the gas turbine and the gas boiler in the period t respectively, and are set to be 1 h.
The constraints of the objective function include:
electric power balance constraint:
Pload,t＝Pex,t+Pgt,t-Php,t-Q+(t)+Q-(t)
in the above formula, Pload,tNet electrical load demand for period t, Pgt,tElectric power of gas turbine for period t, Php,tElectric power consumed by the heat pump for a period of t, Q+(t)、Q-(t) the charging and discharging powers of the electrical energy storage device are respectively in the period of t;
and thermal power balance constraint:
in the above formula, Hload,tFor the heat load demand of period t, Qgt,tFor thermal power, Q, of the gas turbine during the period tgb,tIs the thermal power, Q, of the gas boiler during the period thp,tIs the thermal power of the heat pump during the period t, H+(t)、H-(t) the absorption and release power of the thermal energy storage device in the period of t, Hwater,tFor the demand of hot water load, NcThe number of heating households of the system;
energy storage device stored energy constraint:
in the above formula, EEES(t) the capacity of the electrical energy storage device during a period of time t,. tau.the self-discharge rate of the electrical energy storage device, A+、A-Respectively charging and discharging efficiency, H, of the electrical energy storage deviceES(t) capacity of the thermal energy storage device during t time period, mu self-heat release rate of the thermal energy storage device, B+、B-Respectively the heat absorption efficiency and the heat release efficiency of the heat energy storage equipment;
energy storage device charging and discharging power constraint:
in the above formula, δ1-、δ1+、δ2-、δ2+Are all integer variables of 0-1, delta when the electrical energy storage device is in a discharge state1-Take 1, delta 1+0 is taken, delta when the electrical energy storage device is in the charging state1-Take 0, delta1+1, when the heat energy storage device is in a heat release state, delta2-Take 1, delta 2+0 is taken, delta when the thermal energy storage device is in the heat absorption state2-Take 0, delta2+Take 1, Q- max、Q+ maxRespectively the maximum discharge power, the maximum charge power, H, of the electrical energy storage device- max、H+ maxThe maximum heat release power and the maximum heat absorption power of the heat energy storage equipment are respectively;
energy conversion equipment power constraint:
in the above formula, PgtFor electric power of gas turbines, ηgt-eRated efficiency, P, for conversion of natural gas to electricity by gas turbinesng-gtPower, Q, for natural gas input to gas turbinesgtFor thermal power of gas turbines, ηlFor heat dissipation loss rate, ηhrFor the thermal efficiency of the waste heat recovery device, QgbThermal power for gas-fired boilers, ηgbFor the efficiency of conversion of natural gas to heat, P, by gas-fired boilersng-gbFor the input of natural gas to the gas boiler, QhpTo the thermal power of the heat pump, ηhpFor the heating efficiency of the heat pump, PhpThe power input to the heat pump for natural gas;
and (3) network distribution interaction power constraint:
in the above formula, PexThe power of the distribution network tie line is obtained;
and 5, scheduling various devices according to the optimization scheme.
In order to investigate the effectiveness of the method, three scenes are selected to compare the obtained day-ahead optimized scheduling result with the energy consumption cost, wherein the first scene adopts a thermoelectric generation operation strategy, the electric energy balance of the system is met through a power distribution network and electric energy storage, and the heat load requirement is met only by a gas-fired boiler; a second scene adopts a heat and power fixing operation strategy, the gas turbine participates in system scheduling on the basis of the first scene, and the power generation amount of the gas turbine is determined according to the heat supply amount; in a third scenario (i.e., the embodiment), an electric-heat combined dispatching operation strategy is adopted, and the heat pump and the heat storage equipment participate in heat energy dispatching on the basis of the second scenario. The scheduling results of the first, second and third scenes are respectively shown in fig. 2, 3 and 4, and the energy consumption cost comparison results of the three scenes are shown in fig. 5.
Compared with other scenes, the scene of the embodiment utilizes the heat energy storage system and the heat pump, fully exerts the effect of flexible heat load, decouples thermoelectric constraint, realizes electric heating coordination scheduling, and is more reasonable. Meanwhile, on the basis of introducing a flexible heat load model, the heat pump and the energy storage equipment are matched with heating equipment such as a gas turbine, so that the translation of the heat load in time can be promoted, the adjustment flexibility of the heating equipment is improved, the energy consumption total cost of the system can be lower in the scene of the embodiment, and the running economy of the system is improved.
Claims (5)
1. A regional comprehensive energy system optimization scheduling method considering flexible thermal load is characterized by comprising the following steps:
the method comprises the following steps in sequence:
a, acquiring basic data of a comprehensive energy system of a region to be optimized;
b, constructing the following flexible heat load model considering the work and rest rules of the user based on the obtained basic data:
in the above formula, Tin(t)、Tout(t) indoor and outdoor temperatures of the user in the period of t, R is the thermal resistance of the house, CairIs the specific heat capacity of air, H (t) is the thermal power of the user during the period t;
step C, establishing a regional comprehensive energy system day-ahead optimization scheduling model considering flexible heat load based on the model;
d, solving the optimized dispatching model obtained in the step C to obtain input and output of various devices in the optimized regional comprehensive energy system and indoor temperature change curves of users;
and E, scheduling various devices according to the optimization scheme.
2. The optimal scheduling method for regional integrated energy systems considering flexible thermal load according to claim 1, wherein:
in step C, the objective function of the optimized scheduling model is:
in the above formula, T is the total scheduling time, priceelec,tThe electricity price for purchasing or selling electricity from or to the grid during the period t of the system, Pex,tPrice being the power of interaction between the system and the distribution system at time tngFor electricity and natural gas unit heat value price, Png-gt,,tAnd Png-gb,tThe power consumed by the gas turbine and the gas boiler in the period t is respectively, and delta t is the unit scheduling duration.
3. The method for optimizing and scheduling a regional integrated energy system considering flexible heat load according to claim 2, wherein the method comprises the following steps:
the constraints of the objective function include:
electric power balance constraint:
Pload,t＝Pex,t+Pgt,t-Php,t-Q+(t)+Q-(t)
in the above formula, Pload,tNet electrical load demand for period t, Pgt,tElectric power of gas turbine for period t, Php,tElectric power consumed by the heat pump for a period of t, Q+(t)、Q-(t) the charging and discharging powers of the electrical energy storage device are respectively in the period of t;
and thermal power balance constraint:
in the above formula, Hload,tFor the heat load demand of period t, Qgt,tFor thermal power, Q, of the gas turbine during the period tgb,tIs the thermal power, Q, of the gas boiler during the period thp,tIs the thermal power of the heat pump during the period t, H+(t)、H-(t) the absorption and release power of the thermal energy storage device in the period of t, Hwater,tFor the demand of hot water load, NcThe number of heating households of the system;
energy storage device stored energy constraint:
in the above formula, EEES(t) the capacity of the electrical energy storage device during a period of time t,. tau.the self-discharge rate of the electrical energy storage device, A+、A-Respectively charging and discharging efficiency, H, of the electrical energy storage deviceES(t) capacity of the thermal energy storage device during t time period, mu self-heat release rate of the thermal energy storage device, B+、B-Respectively the heat absorption efficiency and the heat release efficiency of the heat energy storage equipment;
energy storage device charging and discharging power constraint:
in the above formula, δ1-、δ1+、δ2-、δ2+Are all integer variables of 0-1, delta when the electrical energy storage device is in a discharge state1-Take 1, delta1+0 is taken, delta when the electrical energy storage device is in the charging state1-Take 0, delta1+1, when the heat energy storage device is in a heat release state, delta2-Take 1, delta2+0 is taken, delta when the thermal energy storage device is in the heat absorption state2-Take 0, delta2+Take 1, Q- max、Q+ maxRespectively the maximum discharge power, the maximum charge power, H, of the electrical energy storage device- max、H+ maxThe maximum heat release power and the maximum heat absorption power of the heat energy storage equipment are respectively;
energy conversion equipment power constraint:
in the above formula, PgtFor electric power of gas turbines, ηgt-eRated efficiency, P, for conversion of natural gas to electricity by gas turbinesng-gtPower, Q, for natural gas input to gas turbinesgtFor thermal power of gas turbines, ηlFor heat dissipation loss rate, ηhrFor the thermal efficiency of the waste heat recovery device, QgbThermal power for gas-fired boilers, ηgbFor the efficiency of conversion of natural gas to heat, P, by gas-fired boilersng-gbFor the input of natural gas to the gas boiler, QhpTo the thermal power of the heat pump, ηhpFor the heating efficiency of the heat pump, PhpThe power input to the heat pump for natural gas;
and (3) network distribution interaction power constraint:
in the above formula, PexAnd the power of the distribution network tie line is obtained.
4. The optimal scheduling method for regional integrated energy systems considering flexible heat load according to any one of claims 1 to 3, wherein:
and D, solving the optimized scheduling model by adopting Cplex optimization software.
5. The optimal scheduling method for regional integrated energy systems considering flexible heat load according to any one of claims 1 to 3, wherein:
in the step A, the basic data comprise composition, composition structure and equipment parameters of the comprehensive energy system of the area to be optimized.
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| CN112132332A (en) * | 2020-09-15 | 2020-12-25 | 上海绿巨人爱爵能源科技有限公司 | Clean heating energy system optimization scheduling method |
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| CN112880133A (en) * | 2021-01-26 | 2021-06-01 | 国网江苏省电力有限公司经济技术研究院 | Flexible energy utilization control method for building air conditioning system |
| CN112880133B (en) * | 2021-01-26 | 2022-09-06 | 国网江苏省电力有限公司经济技术研究院 | Flexible energy utilization control method for building air conditioning system |
| WO2022166114A1 (en) * | 2021-02-08 | 2022-08-11 | 国网江苏省电力有限公司电力科学研究院 | Electro-hydrogen energy system scheduling method thst considers flexible hydrogen requirements |
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| CN113606750A (en) * | 2021-10-09 | 2021-11-05 | 山东佐耀科技有限公司 | Peak regulation control instruction optimal distribution method and system for air source heat pump load |
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| CN115860219B (en) * | 2022-11-30 | 2023-08-29 | 国网北京市电力公司 | Optimized operation method, device, equipment and medium for hydrogen-containing energy storage comprehensive energy system |
| CN115860219A (en) * | 2022-11-30 | 2023-03-28 | 国网北京市电力公司 | Hydrogen-containing energy storage comprehensive energy system optimization operation method, device, equipment and medium |
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