CN109002941A - Comprehensive energy system equipment type selection and capacity planning method considering heat storage link - Google Patents
Comprehensive energy system equipment type selection and capacity planning method considering heat storage link Download PDFInfo
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Abstract
A method for comprehensive energy system equipment type selection and capacity planning considering a heat storage link comprises the following steps: inputting parameters of energy conversion and heat storage equipment according to the type and the form of equipment to be selected of the park comprehensive energy system; establishing a comprehensive energy system equipment model selection and capacity planning model considering a heat storage link according to input parameters; solving by adopting a mixed integer linear programming method based on annual operation data of cold, heat and electric loads in a park according to an obtained comprehensive energy system equipment model selection and capacity planning model considering a heat storage link; and outputting a solving result, including equipment type selection and a capacity planning scheme, and annual comprehensive cost and annual electricity/gas consumption of the system. The invention can meet the requirements of various loads of cold, heat and electricity at the same time; heat is stored at low electricity price and is supplied to the system during peak electricity price, so that the electricity consumption in peak time is reduced, and the running economy of the system is obviously improved; the annual comprehensive cost of the comprehensive energy system can be obviously reduced, the multi-energy complementation is realized, and the energy utilization efficiency is improved.
Description
Technical Field
The invention relates to a comprehensive energy system equipment type selection and capacity planning method. In particular to a comprehensive energy system equipment type selection and capacity planning method considering a heat storage link.
Background
With the more and more outstanding energy and environmental issues, how to improve the energy utilization efficiency and reduce the environmental impact caused by the energy utilization process as much as possible has become an important issue in the energy field. The comprehensive energy system integrates refrigeration, heat supply and power generation, not only can improve the utilization rate of primary energy through the cascade utilization of energy, but also has great advantages in the aspect of reducing emission. Therefore, the integrated energy system has become an important direction for the development of future energy technologies, and the planning and operation thereof are more research hotspots.
Existing research on equipment type selection and capacity planning of an integrated energy system generally selects equipment type and capacity combination which enables targets (such as the best economy, the minimum emission and the like) to be optimal through long-time operation simulation. In terms of device types, there are mainly energy conversion devices and electrical energy storage devices. A Combined Heat and Power (CHP) unit is an important energy conversion device for meeting both heat demand and electricity demand; the ground source heat pump has high energy conversion efficiency, and can select refrigeration or heating according to actual requirements; the electric energy storage device can store energy in the low ebb of electricity consumption and supply load in the high peak of electricity consumption, and has good economical efficiency. In the aspect of algorithm, the mathematical programming method and the intelligent optimization algorithm are widely applied to the comprehensive energy system planning research, such as a mixed integer linear programming algorithm, a multi-objective genetic algorithm and the like.
However, the comprehensive energy system containing the heat storage link is less in planning and research, and the research of fully considering various energy conversion devices and the comprehensive energy system coupling various energy sources such as cold, heat and electricity is lacked. In the optimization variables, the equipment type and the optimized equipment capacity are not optimized simultaneously, but the equipment type is determined firstly and then the capacity optimization is carried out, so that the optimality of the solution cannot be ensured. In addition, the existing research is insufficient in consideration of coupling among energy sources, coupling analysis among the energy sources mostly focuses on qualitative discussion, quantitative analysis is lacked, and then complementary benefits brought by multi-energy coupling during system operation are difficult to accurately evaluate. Therefore, a method for selecting the type of the integrated energy system equipment and planning the capacity by considering the heat storage link is urgently needed.
Disclosure of Invention
The invention aims to solve the technical problem of providing a comprehensive energy system equipment type selection and capacity planning method considering a heat storage link, which can reasonably determine the planning of a comprehensive energy station.
The technical scheme adopted by the invention is as follows: a method for comprehensive energy system equipment type selection and capacity planning considering a heat storage link comprises the following steps:
1) inputting parameters of energy conversion and heat storage equipment according to the type and the form of equipment to be selected of the park comprehensive energy system, wherein the parameters comprise initial investment cost, maintenance cost and conversion efficiency of unit capacity of each equipment, and input electricity price, natural gas price and annual operation data of cold, heat and electric loads in a park;
2) establishing a comprehensive energy system equipment model selection and capacity planning model considering the heat storage link according to the parameters input in the step 1), wherein the comprehensive energy system equipment model selection and capacity planning model takes the minimum system annual comprehensive cost as a target function, and considers the operation constraints of various energy conversion equipment models and heat energy storage models and the balance constraints of electricity, heat and cold power in the comprehensive energy system;
3) solving by adopting a mixed integer linear programming method based on annual operation data of cold, heat and electric loads in the park according to the comprehensive energy system equipment model selection and capacity planning model considering the heat storage link obtained in the step 2);
4) and (4) outputting the solving result of the step 3), including equipment type selection and capacity planning schemes, system annual comprehensive cost and electricity/gas annual consumption.
The operation constraints of the various energy conversion equipment models and the heat energy storage models in the step 2) comprise:
(1) electric boiler planning model and constraint:
in the formula,is the thermal power of the electric boiler at the time t,the heat storage power of the heat storage tank at the time t,is the electric power at the input end of the electric boiler at the moment t, ηEBIs the efficiency of the electro-thermal conversion, pEBIs the minimum planning unit of the electric boiler, xEBIs the number corresponding to the minimum planning unit;
(2) heat storage tank planning model and constraint
0≤zCH+zDIS≤1
In the formula,is the heat quantity, eta, stored in the heat storage tank at the moment tSTIs the coefficient of the energy storage loss,is the heat storage power, eta, of the heat storage tank at time tCHIt is the efficiency of heat storage,is the upper limit of the heat storage power,is the heat release power, eta, of the heat storage tank at time tDISIs the efficiency of heat release and is,is the upper limit of the heat release power, Δ t is the time interval from the period t to the period t +1, pSTIs the minimum planning unit of the heat storage tank, xSTIs the number of minimum plan cell correspondences, zCHAnd zDISRespectively a heat storage zone bit and a heat release zone bit.
(3) Planning models and constraints of the electric refrigerating unit:
in the formula,is the cold power of the electric refrigerating unit at the moment t,is the electric power at the input end of the electric refrigerating unit at the moment t, EACIs the energy efficiency ratio, pACIs the minimum planning unit of the electric refrigerating unit, xACIs the number corresponding to the minimum planning unit;
(4) planning model and constraint of ground source heat pump:
in the formula,is the thermal power of the ground source heat pump at the moment t,is the cold power of the ground source heat pump at the moment t,is the electric power of the input end of the ground source heat pump at the moment t, EH,HPIs the electric heating energy efficiency ratio, EC,HPIs the energy efficiency ratio of electric refrigeration, pCAP,HPIs the minimum planning unit of the ground source heat pump, xHPIs the number corresponding to the minimum planning unit;
(5) CHP unit planning model and constraint:
in the formula,is the thermal power of the cogeneration unit at the moment t,is the electric power of the cogeneration unit at time t,is the input end power, eta, of the cogeneration unit at time tH,CHPand ηP,CHPRespectively gas-to-heat conversion efficiency and gas-to-electricity conversion efficiency, pCHPIs the minimum planning unit, x, of the cogeneration unitCHPIs the number of minimum plan units.
The balance constraint of the electricity, heat and cold power in the comprehensive energy system in the step 2) is as follows:
(1) electric power balance constraint:
in the formula,is the electrical load in the campus at time t,is the power supplied by the grid to the electrical loads on the campus at time t,is the electric power of the cogeneration unit at time t;
(2) and thermal power balance constraint:
in the formula,is the thermal load in the campus at time t,is the thermal power of the electric boiler at the time t,is the heat release power of the heat storage tank at the time t,is the thermal power of the cogeneration unit at the moment t,the heat power of the ground source heat pump during the heating period at the moment t;
(3) cold power balance constraint:
in the formula,is the cold load in the park at time t,is the cold power of the electric refrigerating unit at the moment t,is the cold power of the ground source heat pump during the refrigeration at the time t.
The comprehensive energy system equipment type selection and capacity planning method considering the heat storage link considers the coupling characteristics of different energy sources (electricity/gas/heat), has rich energy source forms and equipment types, and can meet the requirements of various loads of cold, heat and electricity; the heat storage link is considered, heat can be stored at low electricity price and heat can be supplied to the system during peak electricity price, so that the electricity consumption in peak time is reduced, and the running economy of the system is obviously improved; in the optimization calculation, the equipment type and the equipment capacity are simultaneously considered, the planning results under different scenes are calculated and are compared and analyzed, and the obtained planning scheme can obviously reduce the annual comprehensive cost of the comprehensive energy system, realize the multi-energy complementation and improve the energy utilization efficiency.
Drawings
FIG. 1 is a flow chart of a method for integrated energy system device type selection and capacity planning in view of a heat storage link according to the present invention;
FIG. 2 is an integrated energy system park annual electrical load curve;
FIG. 3 is an integrated energy system park annual heat load curve;
FIG. 4 is an integrated energy system campus annual cooling load curve;
FIG. 5 is a time of use electricity price curve;
FIG. 6 shows the storage/heat release power curves of the second heat storage tank in the scenario of 5 working days;
fig. 7 shows the storage/heat release power curves of 5 working days of the four-heat-storage tank.
Detailed Description
The method for selecting the type and planning the capacity of the integrated energy system device considering the heat storage link according to the present invention is described in detail below with reference to the embodiments and the accompanying drawings.
The method for the equipment type selection and the capacity planning of the comprehensive energy system considering the heat storage link is based on solving the problems of equipment type selection and corresponding capacity determination in the comprehensive energy system considering the heat storage link, establishes a target function with minimum annual comprehensive cost, fully considers the operation constraints and the cold, heat and electric power balance constraints of various energy conversion equipment and heat storage equipment of the comprehensive energy system, adopts a mixed integer linear planning method to solve, and finally obtains an equipment type selection result and a capacity planning scheme.
As shown in fig. 1, the method for selecting the type and planning the capacity of the integrated energy system device considering the heat storage link of the present invention includes the following steps:
firstly), inputting parameters of energy conversion and heat storage equipment according to the equipment type and energy form to be selected of a park comprehensive energy system, wherein the parameters comprise initial investment cost, maintenance cost and conversion efficiency of unit capacity of each equipment, and input electricity price, natural gas price and annual operation data of cold, heat and electric loads in a park; as shown in fig. 2, 3 and 4.
Secondly), establishing a comprehensive energy system equipment model selection and capacity planning model considering the heat storage link according to the parameters input in the step 1), wherein the comprehensive energy system equipment model selection and capacity planning model comprises the steps of taking the minimum system annual comprehensive cost as a target function, considering the operation constraints of various energy conversion equipment models and heat energy storage models, and considering the balance constraints of electricity, heat and cold power in the comprehensive energy system; wherein,
1) the minimum annual comprehensive cost of the system is taken as a target function CCOSTIs shown as
minCCOST＝CI+CM+CO(1)
In the formula, initial investment cost CIMaintenance cost CMAnd running cost COAre respectively represented by the following formula:
in the formula, y represents the service life of the equipment, and r is the discount rate; c. CI,CHP、cI,EB、cI,ST、cI,AC、cI,HPAre respectively provided withThe unit investment cost of the CHP unit, the electric boiler, the heat storage tank, the electric refrigerating unit and the ground source heat pump is reduced; p is a radical ofCHP、pEB、pST、pAC、pHPRespectively a minimum planning unit of a CHP unit, an electric boiler, a heat storage tank, an electric refrigerating unit, a ground source heat pump and a heat storage tank, xCHP、xEB、xST、xAC、xHPRespectively, the number of minimum plan units.
In the formula, cM,CHP、cM,EB、cM,ST、cM,AC、cM,HPRespectively the unit maintenance costs of the CHP, the electric boiler, the heat accumulation tank, the electric refrigerating unit and the ground source heat pump,the heat and electric power of the CHP unit at the time t, the heat power of the electric boiler, the heat storage and heat release power of the heat storage tank, the cold power of the electric refrigerating unit and the heat and cold power of the ground source heat pump are respectively.
CO＝CE+CF(4)
In the formula, CEAnd CFRespectively the electricity purchasing cost and the gas purchasing cost of the system;respectively providing power for the electric network at the time t to the electric load in the park, electric power required by the electric boiler, electric power required by the electric refrigerating unit and a ground source heat pumpThe required electric power is supplied to the electric motor,the price of electricity at the moment t;for the CHP input power at time t, cFIs the natural gas price;
2) the operation constraints of the various energy conversion equipment models and the heat energy storage models comprise:
(1) electric boiler planning model and constraint:
in the formula,is the thermal power of the electric boiler at the time t,the heat storage power of the heat storage tank at the time t,is the electric power at the input end of the electric boiler at the moment t, ηEBIs the efficiency of the electro-thermal conversion, pEBIs the minimum planning unit of the electric boiler, xEBIs the number corresponding to the minimum planning unit;
(2) heat storage tank planning model and constraint
0≤zCH+zDIS≤1
In the formula,is the heat quantity, eta, stored in the heat storage tank at the moment tSTIs the coefficient of the energy storage loss,is the heat storage power, eta, of the heat storage tank at time tCHIt is the efficiency of heat storage,is the upper limit of the heat storage power,is the heat release power, eta, of the heat storage tank at time tDISIs the efficiency of heat release and is,is the upper limit of the heat release power, Δ t is the time interval from the period t to the period t +1, pSTIs the minimum planning unit of the heat storage tank, xSTIs the number of minimum plan cell correspondences, zCHAnd zDISRespectively a heat storage zone bit and a heat release zone bit.
(3) Planning models and constraints of the electric refrigerating unit:
in the formula,is the cold power of the electric refrigerating unit at the moment t,is the electric power at the input end of the electric refrigerating unit at the moment t, EACIs the energy efficiency ratio, pACIs the minimum planning unit of the electric refrigerating unit, xACIs the number corresponding to the minimum planning unit;
(4) planning model and constraint of ground source heat pump:
in the formula,is the thermal power of the ground source heat pump at the moment t,is the cold power of the ground source heat pump at the moment t,is the electric power of the input end of the ground source heat pump at the moment t, EH,HPIs the electric heating energy efficiency ratio, EC,HPIs the energy efficiency ratio of electric refrigeration, pCAP,HPIs the minimum planning unit of the ground source heat pump, xHPIs the number corresponding to the minimum planning unit;
(5) CHP unit planning model and constraint:
in the formula,is the thermal power of the cogeneration unit at the moment t,is the electric power of the cogeneration unit at time t,is the input end power, eta, of the cogeneration unit at time tH,CHPand ηP,CHPRespectively gas-to-heat conversion efficiency and gas-to-electricity conversion efficiency, pCHPIs the minimum planning unit, x, of the cogeneration unitCHPIs the number of minimum plan units.
3) The balance constraints of the electricity, the heat and the cold power in the comprehensive energy system are as follows:
(1) electric power balance constraint:
in the formula,is the electrical load in the campus at time t,is the power supplied by the grid to the electrical loads on the campus at time t,is the electric power of the cogeneration unit at time t;
(2) and thermal power balance constraint:
in the formula,is the thermal load in the campus at time t,is the thermal power of the electric boiler at the time t,is the heat release power of the heat storage tank at the time t,is the thermal power of the cogeneration unit at the moment t,the heat power of the ground source heat pump during the heating period at the moment t;
(3) cold power balance constraint:
in the formula,is the cold load in the park at time t,is the cold power of the electric refrigerating unit at the moment t,is the cold power of the ground source heat pump during the refrigeration at the time t.
Thirdly), solving by adopting a mixed integer linear programming method based on annual operation data of cold, heat and electric loads in the garden according to the comprehensive energy system equipment model selection and capacity planning model considering the heat storage link obtained in the second step;
and fourthly) outputting the solving result of the third step), including equipment type selection and capacity planning scheme, system annual comprehensive cost and electricity/gas annual consumption.
According to the embodiment of the invention, a certain comprehensive energy system park is selected as an object, and equipment parameters including initial investment cost, maintenance cost and conversion efficiency of unit capacity of each equipment, electricity price and natural gas price parameters, as shown in table 1, annual operation data of cold, heat and electricity loads and the like are input according to the types of equipment in the comprehensive energy system; and then, establishing a comprehensive energy station planning model, calling a mixed integer linear programming solving method in an OPTI tool box by Matlab software, and obtaining a comprehensive energy station equipment model selection and capacity planning scheme, annual comprehensive cost and total electricity and gas consumption. By adopting the comprehensive energy system equipment type selection and capacity planning method considering the heat storage link, provided by the invention, four scenes are respectively selected for comparative analysis under the conditions of not including the heat energy storage equipment and including the heat energy storage equipment.
Scene one: optional equipment comprises an electric boiler and an electric refrigerating unit, and the input energy is electric energy;
scene two: the optional equipment comprises an electric boiler, a heat storage tank and an electric refrigerating unit, and the input energy is electric energy;
scene three: the optional equipment comprises an electric boiler, a heat storage tank, an electric refrigerating unit and a ground source heat pump, and the input energy forms are electric energy and geothermal energy;
scene four: the optional equipment comprises an electric boiler, a heat storage tank, an electric refrigerating unit and a CHP unit, and the input energy forms are electric energy, natural gas and geothermal energy;
scene five: the optional equipment comprises an electric boiler, a heat storage tank, an electric refrigerating unit, a CHP unit and a ground source heat pump, and the input energy forms are electric energy, natural gas and geothermal energy.
The computer hardware environment for executing the optimized calculation is Intel (R) Xeon (R) CPU E5-16030, the dominant frequency is 2.8GHz, and the memory is 12 GB; the software environment is a Windows 10 operating system.
The comprehensive energy station equipment model selection and capacity planning scheme is shown in table 2. Comparing the scene one with the scene two, wherein the heat storage tank is added into optional equipment in the scene two, because the investment cost and the maintenance cost of the heat storage tank are lower than those of an electric boiler, part of heat supply output of the electric boiler is used for heat energy storage, the electric boiler and the heat storage tank supply heat load of a park together, the capacity of the electric boiler is reduced from 6300kVA to 4300kVA, and the planned capacity of the heat storage tank is 9900 kVA; comparing the second scenario with the third scenario, the ground source heat pump is added to the optional equipment, the geothermal energy is added in the form of input energy, the geothermal energy can be utilized by the ground source heat pump, the electric heating energy efficiency ratio is far higher than the electric-heat conversion efficiency of the electric boiler, partial heat supply output of the electric boiler and the heat storage tank is replaced by the ground source heat pump, the capacity of the electric boiler is reduced from 4300kVA to 400kVA, and the capacity of the heat storage tank is reduced from 9900kVA to 2800 kVA; comparing the second scene with the fourth scene, the CHP unit is added into the optional equipment, the natural gas is added in the form of input energy, the price of the natural gas is obviously lower than the electricity price, the CHP unit can simultaneously supply electricity load and heat load, partial heat supply output of the electric boiler and the heat storage tank is replaced by the CHP unit, the capacity of the electric boiler is reduced from 4300kVA to 1600kVA, the capacity of the heat storage tank is reduced from 9900kVA to 2700kVA, and the capacity of the CHP unit is 4600 kVA; comparing the scene four with the scene five, the ground source heat pump is introduced into the optional equipment, partial heat supply output of the electric boiler, the heat storage tank and the CHP unit is replaced by the ground source heat pump, the capacity of the electric boiler is reduced from 1600kVA to 100kVA, the capacity of the heat storage tank is increased from 2700kVA to 2900kVA, the capacity of the CHP unit is reduced from 4600kVA to 1300kVA, and the capacity of the ground source heat pump is 700 kVA.
The annual combined cost and the annual consumption of electricity and gas corresponding to the five planning schemes are shown in table 3. Compared with the first scene and the second scene, the annual comprehensive cost is reduced by 57.85 ten thousand yuan, the reduction amplitude is 2.26%, the investment cost of system equipment is increased by 43.56 ten thousand yuan due to the large planning capacity of the heat storage tank, the purchased electric quantity is increased by 69.77 ten thousand kWh, and the increase amplitude is 2.77%; comparing the scene two with the scene three, the annual comprehensive cost is reduced by 488 ten thousand yuan due to the adoption of the ground source heat pump with high electric heating energy efficiency ratio, and the reduction amplitude is 19.02%; comparing the scene two with the scene four, the annual comprehensive cost is reduced by 334.05 ten thousand yuan, the operation cost is reduced by 563.61 ten thousand yuan due to the low price of natural gas, the electricity purchasing quantity is reduced by 1105.82kWh, the reduction amplitude is 42.78%, and the gas purchasing quantity is increased by 1349.09 kWh; compared with the scene four and the scene five, the annual comprehensive cost is reduced by 102.57 ten thousand yuan, and various equipment characteristics are comprehensively considered, so that the annual comprehensive cost is further reduced.
And taking the scene two and the scene four as examples, analyzing the reason of the reduction of the annual comprehensive cost after the heat storage tank is added. Fig. 5 shows a time-of-use electricity price curve, and fig. 6 and 7 show heat storage and release power curves of the heat storage tank for 5 consecutive working days in scene two and scene four, respectively, which show that the heat storage tank stores heat in the valley of the electricity price and releases heat in the peak of the electricity price, thereby reducing the annual comprehensive cost of the system.
The method for the equipment type selection and the capacity planning of the comprehensive energy system considering the heat storage link can provide the equipment type selection and the capacity planning under different scenes according to the types of the optional equipment and the input energy of the system. The example analysis shows that the obtained planning scheme can obviously reduce the annual comprehensive cost of the system, realize the multi-energy complementation and improve the energy utilization rate.
TABLE 1 System Equipment parameters and other parameters
TABLE 2 planning of equipment capacity situation for different scenarios
TABLE 3 comprehensive cost and annual consumption of electricity and gas for planning years in different scenes
Claims (3)
1. A method for comprehensive energy system equipment type selection and capacity planning considering a heat storage link is characterized by comprising the following steps:
1) inputting parameters of energy conversion and heat storage equipment according to the type and the form of equipment to be selected of the park comprehensive energy system, wherein the parameters comprise initial investment cost, maintenance cost and conversion efficiency of unit capacity of each equipment, and input electricity price, natural gas price and annual operation data of cold, heat and electric loads in a park;
2) establishing a comprehensive energy system equipment model selection and capacity planning model considering the heat storage link according to the parameters input in the step 1), wherein the comprehensive energy system equipment model selection and capacity planning model takes the minimum system annual comprehensive cost as a target function, and considers the operation constraints of various energy conversion equipment models and heat energy storage models and the balance constraints of electricity, heat and cold power in the comprehensive energy system;
3) solving by adopting a mixed integer linear programming method based on annual operation data of cold, heat and electric loads in the park according to the comprehensive energy system equipment model selection and capacity planning model considering the heat storage link obtained in the step 2);
4) and (4) outputting the solving result of the step 3), including equipment type selection and capacity planning schemes, system annual comprehensive cost and electricity/gas annual consumption.
2. The method for comprehensive energy system equipment type selection and capacity planning considering heat storage links according to claim 1, wherein the operation constraints of the various energy conversion equipment models and the heat storage models in the step 2) comprise:
(1) electric boiler planning model and constraint:
in the formula,is the thermal power of the electric boiler at the time t,the heat storage power of the heat storage tank at the time t,is the electric power at the input end of the electric boiler at the moment t, ηEBIs the efficiency of the electro-thermal conversion, pEBIs the minimum planning unit of the electric boiler, xEBIs the number corresponding to the minimum planning unit;
(2) heat storage tank planning model and constraint
In the formula,is the heat quantity, eta, stored in the heat storage tank at the moment tSTIs the coefficient of the energy storage loss,is the heat storage power, eta, of the heat storage tank at time tCHIt is the efficiency of heat storage,is the upper limit of the heat storage power,is the heat release power, eta, of the heat storage tank at time tDISIs the efficiency of heat release and is,is the upper limit of the heat release power, Δ t is the time interval from the period t to the period t +1, pSTIs the minimum planning unit of the heat storage tank, xSTIs the number of minimum plan cell correspondences, zCHAnd zDISRespectively a heat storage zone bit and a heat release zone bit;
(3) planning models and constraints of the electric refrigerating unit:
in the formula,is the cold power of the electric refrigerating unit at the moment t,is the electric power at the input end of the electric refrigerating unit at the moment t, EACIs the energy efficiency ratio, pACIs the minimum planning unit of the electric refrigerating unit, xACIs the number corresponding to the minimum planning unit;
(4) planning model and constraint of ground source heat pump:
in the formula,is the thermal power of the ground source heat pump at the moment t,is the cold power of the ground source heat pump at the moment t,is the electric power of the input end of the ground source heat pump at the moment t, EH，HPIs the electric heating energy efficiency ratio, EC，HPIs the energy efficiency ratio of electric refrigeration, pCAP，HPIs the minimum planning unit of the ground source heat pump, xHPIs the number corresponding to the minimum planning unit;
(5) CHP unit planning model and constraint:
in the formula,is the thermal power of the cogeneration unit at the moment t,is the electric power of the cogeneration unit at time t,is the input end power, eta, of the cogeneration unit at time tH，CHPand ηP，CHPRespectively gas-to-heat conversion efficiency and gas-to-electricity conversion efficiency, pCHPIs the minimum planning unit, x, of the cogeneration unitCHPIs the number of minimum plan units.
3. The method for comprehensive energy system equipment type selection and capacity planning considering heat storage links according to claim 1, wherein the balance constraints of electricity, heat and cold power in the comprehensive energy system in the step 2) are as follows:
(1) electric power balance constraint:
in the formula,is the electrical load in the campus at time t,is the power supplied by the grid to the electrical loads on the campus at time t,is the electric power of the cogeneration unit at time t;
(2) and thermal power balance constraint:
in the formula,is the thermal load in the campus at time t,is the thermal power of the electric boiler at the time t,is the heat release power of the heat storage tank at the time t,is the thermal power of the cogeneration unit at the moment t,the heat power of the ground source heat pump during the heating period at the moment t;
(3) cold power balance constraint:
in the formula,is the cold load in the park at time t,is the cold power of the electric refrigerating unit at the moment t,is the cold power of the ground source heat pump during the refrigeration at the time t.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400042A (en) * | 2013-08-07 | 2013-11-20 | 东南大学 | Cool-heat-electricity cogeneration type microgrid optimal configuration method |
| CN104104099A (en) * | 2014-05-05 | 2014-10-15 | 南方电网科学研究院有限责任公司 | Micro-grid energy management method |
| CN105869075A (en) * | 2016-04-19 | 2016-08-17 | 东南大学 | Economic optimization scheduling method for cold, heat and electricity combined supply type miniature energy grid |
-
2018
- 2018-09-28 CN CN201811140193.5A patent/CN109002941A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400042A (en) * | 2013-08-07 | 2013-11-20 | 东南大学 | Cool-heat-electricity cogeneration type microgrid optimal configuration method |
| CN104104099A (en) * | 2014-05-05 | 2014-10-15 | 南方电网科学研究院有限责任公司 | Micro-grid energy management method |
| CN105869075A (en) * | 2016-04-19 | 2016-08-17 | 东南大学 | Economic optimization scheduling method for cold, heat and electricity combined supply type miniature energy grid |
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