CN111899121B - Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment - Google Patents

Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment Download PDF

Info

Publication number
CN111899121B
CN111899121B CN202010579320.2A CN202010579320A CN111899121B CN 111899121 B CN111899121 B CN 111899121B CN 202010579320 A CN202010579320 A CN 202010579320A CN 111899121 B CN111899121 B CN 111899121B
Authority
CN
China
Prior art keywords
gas
energy
electric
power
load
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010579320.2A
Other languages
Chinese (zh)
Other versions
CN111899121A (en
Inventor
匡萃浙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Polytechnic
Original Assignee
Shenzhen Polytechnic
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Polytechnic filed Critical Shenzhen Polytechnic
Priority to CN202010579320.2A priority Critical patent/CN111899121B/en
Publication of CN111899121A publication Critical patent/CN111899121A/en
Application granted granted Critical
Publication of CN111899121B publication Critical patent/CN111899121B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention provides a simple method for coordination operation of regional energy system source load based on electric gas conversion equipment. The method comprises the following steps: acquiring daily forecast electric load and thermal load data, energy conversion equipment parameters and energy storage equipment parameters in an regional energy system; establishing an area energy converter model containing electric conversion equipment according to the acquired energy conversion equipment parameters and the acquired energy storage equipment parameters; determining an energy converter action critical value based on the collected day-ahead predicted electric load and thermal load data, and dividing the energy converter into 5 operation modes according to the energy converter action critical value; and determining a regional energy system source load coordination operation scheme according to the action critical value of the energy converter and the 5 operation modes of the energy converter. The method is convenient to operate, peak clipping and valley filling of the electric load are achieved by utilizing multi-energy complementation, the capacity construction of a unit can be reduced, the upgrading of a power grid is delayed, and the market connection of various energy sources of natural gas, electric energy and heat energy is promoted to be tighter.

Description

Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment
Technical Field
The invention relates to the technical field of regional comprehensive energy system source-load coordinated operation, in particular to a simple regional energy system source-load coordinated operation method based on electric conversion equipment.
Background
At present, energy sources in different forms of electricity, gas and heat in China are separately operated in construction planning and actual operation, the comprehensive utilization efficiency of the energy sources is low, and the advantages of various energy sources are not fully exerted. In consideration of strong coupling and low energy utilization efficiency between energy sources, the centralized collaborative optimization development of multiple energy sources is beneficial to improving the comprehensive energy utilization efficiency and promoting the fusion between multiple energy sources networks.
There are patents (rocks, zhang Ronghua, zhao Jinyong, etc. regional energy internet scheduling methods based on stochastic programming and model predictive control [ P ]. CN107895971a,2018.04.10 ]) that control optimized regional energy internet scheduling operations based on stochastic programming and model predictive. Some patents (Li Wei, zhu Shouzhen; bai Xiaomin, etc. mathematical models and planning methods for regional energy internet planning based on game theory [ P ]. CN109657946A,2019.04.19 ]) propose a mathematical model and planning method for regional energy internet planning using game theory. Some patents (Xie, wu Junhong, yang Peng, etc.) a hybrid integer linear programming model is constructed to implement regional energy internet dynamic operation optimization by using a regional energy internet dynamic operation optimization method [ P ]. CN106651047A,2017.05.10 ]. The above patents all study the multi-energy collaborative optimization operation, but all require solving complex mathematical models.
Therefore, the invention provides a simple method for determining the coordinated operation of regional energy system sources and loads by setting the action critical value of equipment based on energy conversion and storage equipment such as electricity-to-gas and the like, so as to promote the coordinated operation of various energy sources in the region and realize peak clipping and valley filling of electric load and heat load in the region. Compared with other methods, the method does not need to carry out complex optimization calculation or increase additional terminal equipment, so that the method has the characteristics of convenient operation, reduced labor cost of an electric company and improved efficiency.
Disclosure of Invention
The invention aims to solve the problem of the coordinated operation of the regional comprehensive energy system source load, is beneficial to peak regulation and valley filling, reduces the capacity construction of a unit, delays the upgrading of a power grid and promotes the more compact connection of various energy markets of natural gas, electric energy and heat energy.
The object of the invention is achieved by at least one of the following technical solutions.
The simple method for the coordination operation of the regional energy system source load based on the electric gas conversion equipment comprises the following steps:
s1, predicting electric load and thermal load data, energy conversion equipment parameters and energy storage equipment parameters in a regional energy system in the future;
s2, establishing an area energy converter model containing electric conversion equipment according to the energy conversion equipment parameters and the energy storage equipment parameters acquired in the step S1;
s3, determining an action critical value of the energy converter based on the collected daily predicted electric load and thermal load data, and dividing the energy converter into 5 operation modes according to the action critical value of the energy converter;
s4, determining a regional energy system source load coordination operation scheme according to the action critical value of the energy converter and 5 operation modes of the energy converter.
Further, in step S1, the energy conversion apparatus includes an electric gas conversion apparatus, a gas turbine, and a gas boiler; the energy storage equipment refers to a natural gas storage device; the energy conversion equipment parameters comprise the energy conversion efficiency and the minimum/maximum output power of the equipment, and the energy storage equipment parameters comprise the storage equipment capacity, the maximum charge-discharge energy power and the charge-discharge energy efficiency.
Further, in step S2, the regional energy converter includes an electric power conversion device, a natural gas storage device, a gas turbine, and a gas boiler, for implementing an electric power conversion and cogeneration function.
Further, the electric gas conversion device specifically comprises the following components:
Figure GDA0004199856750000031
wherein G is P2G (t) and P P2G (T) natural gas power and electric power of the electric power conversion equipment at T time intervals, t=1, 2, …, T; t is the total time section number in the metering period; η (eta) P2G Natural gas production efficiency for the electric gas conversion equipment; p (P) P2G.min For electric rotationMinimum electric power of the gas equipment; p (P) P2G.max Is the maximum electric power of the electric conversion equipment.
Further, the natural gas storage device is specifically as follows:
the total gas storage capacity of each period cannot exceed the capacity of the equipment, and the gas charging and discharging capacity of each period cannot exceed the maximum gas charging and discharging capacity of the equipment per hour, namely:
Figure GDA0004199856750000032
wherein C is g (t) is the gas storage capacity of the natural gas storage device at the t-th time period; Δt is a unit time period; c (C) S Is the total capacity of the gas storage device;
Figure GDA0004199856750000033
and->
Figure GDA0004199856750000034
Respectively the inflation power and the deflation power of the natural gas storage device in the t-th period;
Figure GDA0004199856750000035
and->
Figure GDA0004199856750000036
Respectively the inflation efficiency and the deflation efficiency of the natural gas storage device; g Cg.max The maximum air charging and discharging capacity of the air storage device is achieved.
Further, the gas turbine is specifically as follows:
Figure GDA0004199856750000037
wherein P is GT (t)，G GT (t)，H GT (t) electric power, natural gas power and thermal power of the gas turbine, respectively; η (eta) PGT And eta HGT The power generation efficiency and the heat generation efficiency of the gas turbine are respectively; p (P) GT.min For gas turbinesMinimum output electric power; p (P) GT.max Is the maximum output electric power of the gas turbine.
Further, the gas boiler specifically comprises the following components:
H GB (t)＝η GB G GB (t)；
wherein H is GB (t) and G GB (t) the thermal power and the natural gas power of the gas boiler at the period t respectively; η (eta) GB Is the heat generating efficiency of the gas boiler.
Further, in step S3, the energy converter operation threshold includes an electric load power high threshold P Hcr Low critical value P of electric load power Lcr Thermal load power threshold H Hcr The calculation formulas of the three critical values are as follows:
Figure GDA0004199856750000041
wherein P is YD Is margin electric power; gamma ray P Is an electrical load margin coefficient; p (P) max Is the maximum value of daily electric load; p (P) min Is the minimum value of daily electrical load; p (P) av Is the daily average electrical load;
H Hcr the calculation formula is as follows:
Figure GDA0004199856750000042
wherein H is YD Is margin thermal power; gamma ray H Is a thermal load margin coefficient; h max Is the maximum solar heat load; h min Is the minimum solar heat load; h av Is the daily average heat load.
Further, in step S3, the energy converter action threshold divides the energy converter into 5 operation modes, which are specifically as follows:
an electrical load lower than P Lcr When the energy converter is in the first operation mode, the electric gas conversion equipment works, power grid power is consumed, natural gas is generated, the gas storage device stores gas, and the gas turbine is not operatedPerforming; the electric energy required by the user is directly supplied by a power grid, the heat energy is supplied by natural gas burned by a gas boiler, and the natural gas required by the gas boiler and a gas turbine is supplied by a natural gas grid;
an electrical load greater than P Lcr But is smaller than P Hcr When the gas turbine is not operated, the electric power conversion equipment and the gas turbine are not operated, the electric load is directly supplied by a power grid, and the heat load is supplied by the natural gas burned by the gas boiler; natural gas required by gas boilers and gas turbines, if the heat load power is lower than H Hcr The natural gas is independently supplied by a natural gas network, namely the energy converter is in a second operation mode; if the heat load power exceeds H Hcr The natural gas is supplied by the gas storage device and the natural gas network together, namely the energy converter is in a third operation mode;
an electrical load greater than P Hcr When the electric gas conversion equipment does not work, electric energy is supplied by the power grid and the gas turbine together, and heat energy is supplied by the gas turbine and the gas boiler together; natural gas required by gas boilers and gas turbines, if the heat load power is lower than H Hcr The natural gas is independently supplied by a natural gas network, namely the energy converter is in a fourth operation mode; if the heat load power exceeds H Hcr The natural gas is supplied by the gas storage device and the natural gas network together, namely the energy converter is in a fifth operation mode;
in the 5 operation modes, the electric gas conversion equipment, the gas turbine and the gas boiler all operate at the maximum power when in operation, and the natural gas storage device also operates at the maximum gas charging and discharging capacity when in operation.
Further, in step S4, the coordinated operation scheme of the regional energy system source load is determined according to the action critical value of the energy converter and the 5 operation modes thereof, which specifically includes the following steps:
predicting the electric load P (t) and the thermal load H (t) and the energy converter action critical value P in each period Hcr 、P Lcr 、H Hcr Comparison, if P (t)<P Lcr The energy converter operates in mode one; if P Lcr <P(t)<P Hcr and H(t)<H Hcr the energy converter operates in mode two; if P Lcr <P(t)<P Hcr And H (t)>H Hcr The energy converter operates in mode three; if P (t)>P Hcr And H (t)<H Hcr The energy converter operates in mode four; if P (t)>P Hcr And H (t)>H Hcr The energy converter operates in mode five.
Compared with the prior art, the invention has the beneficial effects that:
(1) The peak regulation and valley filling are facilitated, the capacity construction of a unit is reduced, the power grid upgrading is delayed, and the market connection of various energy sources of natural gas, electric energy and heat energy is promoted to be tighter;
(2) The method has the advantages that multiple energy sources in the control area of the action critical value of the energy converter are set to operate in a coordinated mode, complex optimization calculation is not needed, additional terminal equipment is not needed, an acquisition terminal is not needed to be added in a low-voltage power distribution network, and operation is convenient.
Drawings
FIG. 1 is a flow chart of a simple method for coordinated operation of regional energy system source loads based on an electric gas conversion device;
FIG. 2 is a schematic diagram of a regional energy system in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of a regional energy converter according to an embodiment of the present invention;
FIGS. 4a and 4b are schematic diagrams of predicted daily electrical and thermal loads, respectively, for a regional energy system in accordance with embodiments of the present invention;
fig. 5a and fig. 5b are schematic diagrams of electric load and thermal load curves after the coordination operation of the source load of the regional energy system in the embodiment of the invention;
fig. 6 is a schematic diagram illustrating 5 operation modes of the energy converter according to an embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the drawings and examples.
Examples:
the simple method for the coordination operation of the regional energy system source load based on the electric gas conversion equipment, as shown in fig. 1, comprises the following steps:
s1, predicting electric load and thermal load data, energy conversion equipment parameters and energy storage equipment parameters in a regional energy system in the future;
the energy conversion equipment comprises electric gas conversion equipment, a gas turbine and a gas boiler; the energy storage equipment refers to a natural gas storage device; the energy conversion equipment parameters comprise the energy conversion efficiency and the minimum/maximum output power of the equipment, and the energy storage equipment parameters comprise the storage equipment capacity, the maximum charge-discharge energy power and the charge-discharge energy efficiency.
As shown in fig. 2, in the present embodiment, the regional energy system includes one energy center and three load centers, and a natural gas network and an electric power network connected to them. Node 1 is a balance node of an electric power network and a natural gas network in the multi-energy system, is connected with a thermal power plant G1, and is connected with an upper natural gas network N1 through the natural gas network at node 1. The node 2, the node 3 and the node 4 are all load nodes, each load node is connected with an energy converter, H2, H3 and H4 are respectively, and the structure of the energy converters is shown in figure 3. The predicted daily electrical load and thermal load data for nodes 2 and 3 are shown in fig. 4a, and the predicted daily electrical load and thermal load data for node 4 are shown in fig. 4 b. Inside the energy converter, the power generation efficiency eta of the gas turbine PGT 0.3, heat generation efficiency eta HGT At 0.4, operate the minimum output power P GT。min 0, maximum output power P GT。max Is 20MW. Minimum output power P of electric gas conversion equipment P2G。min 0, maximum output power P P2G 。 max 40MW, eta P2G 0.8. Capacity C of natural gas storage device S 3000MW, maximum charge and discharge capacity G per time period Cg.max 40MW, charge-discharge efficiency
Figure GDA0004199856750000071
And->
Figure GDA0004199856750000072
Both 0.9. Heat generating efficiency eta of boiler GB The minimum output power is 0.75, and in this embodiment, the gas boiler can meet the heat load requirement.
S2, establishing an area energy converter model containing electric conversion equipment according to the energy conversion equipment parameters and the energy storage equipment parameters acquired in the step S1;
the regional energy converter comprises electric conversion equipment, a natural gas storage device, a gas turbine and a gas boiler and is used for realizing the functions of electric conversion and cogeneration.
The electric gas conversion equipment comprises the following specific components:
Figure GDA0004199856750000073
wherein G is P2G (t) and P P2G (T) natural gas power and electric power of the electric power conversion equipment at T time intervals, t=1, 2, …, T; t is the total time section number in the metering period; η (eta) P2G Natural gas production efficiency for the electric gas conversion equipment; p (P) P2G.min The minimum electric power for the electric conversion equipment; p (P) P2G.max Is the maximum electric power of the electric conversion equipment.
The natural gas storage device is specifically as follows:
the total gas storage capacity of each period cannot exceed the capacity of the equipment, and the gas charging and discharging capacity of each period cannot exceed the maximum gas charging and discharging capacity of the equipment per hour, namely:
Figure GDA0004199856750000081
wherein C is g (t) is the gas storage capacity of the natural gas storage device at the t-th time period; Δt is a unit time period; c (C) S Is the total capacity of the gas storage device;
Figure GDA0004199856750000082
and->
Figure GDA0004199856750000083
Respectively the inflation power and the deflation power of the natural gas storage device in the t-th period;
Figure GDA0004199856750000084
and->
Figure GDA0004199856750000085
Respectively the inflation efficiency and the deflation efficiency of the natural gas storage device; g Cg.max The maximum air charging and discharging capacity of the air storage device is achieved.
The gas turbine is specifically as follows:
Figure GDA0004199856750000086
wherein P is GT (t)，G GT (t)，H GT (t) electric power, natural gas power and thermal power of the gas turbine, respectively; η (eta) PGT And eta HGT The power generation efficiency and the heat generation efficiency of the gas turbine are respectively; p (P) GT.min Minimum output electric power for the gas turbine; p (P) GT.max Is the maximum output electric power of the gas turbine.
The gas boiler is specifically as follows:
H GB (t)＝η GB G GB (t)；
wherein H is GB (t) and G GB (t) the thermal power and the natural gas power of the gas boiler at the period t respectively; η (eta) GB Is the heat generating efficiency of the gas boiler.
S3, determining an action critical value of the energy converter based on the collected daily predicted electric load and thermal load data, and dividing the energy converter into 5 operation modes according to the action critical value of the energy converter;
the energy converter action critical value comprises an electric load power high critical value P Hcr Low critical value P of electric load power Lcr Thermal load power threshold H Hcr The calculation formulas of the three critical values are as follows:
Figure GDA0004199856750000091
wherein P is YD Is margin electric power; gamma ray P Is an electrical load margin coefficient; p (P) max Is a solar loadA maximum value; p (P) min Is the minimum value of daily electrical load; p (P) av Is the daily average electrical load;
H Hcr the calculation formula is as follows:
Figure GDA0004199856750000092
wherein H is YD Is margin thermal power; gamma ray H Is a thermal load margin coefficient; h max Is the maximum solar heat load; h min Is the minimum solar heat load; h av Is the daily average heat load.
In this embodiment, the operation threshold P of the energy converters of the nodes 2 and 3 is calculated Lcr 、P Hcr And H Hcr At the time, the electrical load margin coefficient gamma P And a thermal load margin coefficient gamma H 0.15 is taken and calculated to obtain P Lcr 230.5MW, P Hcr 267.5MW, H Hcr 214.2MW; calculating the energy converter action threshold P of node 4 Lcr 、P Hcr And H Hcr At the time, the electrical load margin coefficient gamma P Taking 0.15 and a thermal load margin coefficient gamma H Taking 0 and calculating to obtain P Lcr 193.4MW, P Hcr 222.6MW, H Hcr 229.4MW.
As shown in fig. 6, the energy converter action threshold divides the energy converter into 5 operation modes, wherein (1), (2), (3), (4), (5) respectively represent an operation mode one, an operation mode two, an operation mode three, an operation mode four, and an operation mode five; the method comprises the following steps:
an electrical load lower than P Lcr When the energy converter is in the first operation mode, the electric gas conversion equipment works, power grid power is consumed, natural gas is generated, the gas storage device stores gas, and the gas turbine does not work; the electric energy required by the user is directly supplied by a power grid, the heat energy is supplied by natural gas burned by a gas boiler, and the natural gas required by the gas boiler and a gas turbine is supplied by a natural gas grid;
an electrical load greater than P Lcr But is smaller than P Hcr When the electric power conversion equipment and the gas turbine are not operated,the electric load is directly supplied by the power grid, and the heat load is supplied by the natural gas burned by the gas-fired boiler; natural gas required by gas boilers and gas turbines, if the heat load power is lower than H Hcr The natural gas is independently supplied by a natural gas network, namely the energy converter is in a second operation mode; if the heat load power exceeds H Hcr The natural gas is supplied by the gas storage device and the natural gas network together, namely the energy converter is in a third operation mode;
an electrical load greater than P Hcr When the electric gas conversion equipment does not work, electric energy is supplied by the power grid and the gas turbine together, and heat energy is supplied by the gas turbine and the gas boiler together; natural gas required by gas boilers and gas turbines, if the heat load power is lower than H Hcr The natural gas is independently supplied by a natural gas network, namely the energy converter is in a fourth operation mode; if the heat load power exceeds H Hcr The natural gas is supplied by the gas storage device and the natural gas network together, namely the energy converter is in a fifth operation mode;
in the 5 operation modes, the electric gas conversion equipment, the gas turbine and the gas boiler all operate at the maximum power when in operation, and the natural gas storage device also operates at the maximum gas charging and discharging capacity when in operation.
S4, determining a regional energy system source load coordination operation scheme according to the action critical value of the energy converter and 5 operation modes thereof, wherein the scheme comprises the following steps:
predicting the electric load P (t) and the thermal load H (t) and the energy converter action critical value P in each period Hcr 、P Lcr 、H Hcr Comparison, if P (t)<P Lcr The energy converter operates in mode one; if P Lcr <P(t)<P Hcr And H (t)<H Hcr The energy converter operates in mode two; if P Lcr <P(t)<P Hcr And H (t)>H Hcr The energy converter operates in mode three; if P (t)>P Hcr And H (t)<H Hcr The energy converter operates in mode four; if P (t)>P Hcr And H (t)>H Hcr The energy converter operates in mode five.
In this embodiment, the working states of the three energy converters in the regional energy system at each period are shown in the following table:
TABLE 1
Figure GDA0004199856750000111
According to the energy converter operation strategy shown in table 1, after the coordination area energy system is operated by the source load, the electric load and thermal load curves of the node 2 and the node 3 are shown in fig. 5a, and the electric load and thermal load curve of the node 4 is shown in fig. 5 b. As can be seen from fig. 5a and 5b, the peak-to-valley difference of the electrical load supplied by the three-node power system is significantly reduced, while the peak thermal load during the day, i.e. node 2, node 3, starts from period 8 to period 22, node 4 starts from period 8 to period 20, the gas turbine operation supplies part of the thermal energy, and the thermal load required to be output by the three nodes is reduced.
In summary, through simulation analysis of a regional energy system, the effectiveness of the simple method for coordination operation of the regional energy system source load based on the electric conversion equipment provided by the invention is verified.
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other modifications, substitutions, combinations, and simplifications without departing from the spirit and principles of the present invention should be made in the equivalent manner, and are included in the scope of the present invention.

Claims (8)

1. The simple method for the coordination operation of the regional energy system source load based on the electric gas conversion equipment is characterized by comprising the following steps:
s1, predicting electric load and thermal load data, energy conversion equipment parameters and energy storage equipment parameters in a regional energy system in the future;
s2, establishing an area energy converter model containing electric conversion equipment according to the energy conversion equipment parameters and the energy storage equipment parameters acquired in the step S1;
s3, determining an action critical value of the energy converter based on the collected day-ahead predicted electric load and thermal load data according to the following stepsThe energy converter is divided into 5 operation modes by the action critical value of the energy converter; the energy converter action critical value comprises an electric load power high critical value P Hcr Low critical value P of electric load power Lcr Thermal load power threshold H Hcr The calculation formulas of the three critical values are as follows:
Figure FDA0004199856740000011
wherein P is YD Is margin electric power; gamma ray P Is an electrical load margin coefficient; p (P) max Is the maximum value of daily electric load; p (P) min Is the minimum value of daily electrical load; p (P) av Is the daily average electrical load;
H Hcr the calculation formula is as follows:
Figure FDA0004199856740000012
wherein H is YD Is margin thermal power; gamma ray H Is a thermal load margin coefficient; h max Is the maximum solar heat load; h min Is the minimum solar heat load; h av Is the daily average heat load;
the energy converter action critical value divides the energy converter into 5 operation modes, and specifically comprises the following steps:
an electrical load lower than P Lcr When the energy converter is in the first operation mode, the electric gas conversion equipment works, power grid power is consumed, natural gas is generated, the gas storage device stores gas, and the gas turbine does not work; the electric energy required by the user is directly supplied by a power grid, the heat energy is supplied by natural gas burned by a gas boiler, and the natural gas required by the gas boiler and a gas turbine is supplied by a natural gas grid;
an electrical load greater than P Lcr But is smaller than P Hcr When the gas turbine is not operated, the electric power conversion equipment and the gas turbine are not operated, the electric load is directly supplied by a power grid, and the heat load is supplied by the natural gas burned by the gas boiler; natural gas required for gas boiler and gas turbineIf the heat load power is lower than H Hcr The natural gas is independently supplied by a natural gas network, namely the energy converter is in a second operation mode; if the heat load power exceeds H Hcr The natural gas is supplied by the gas storage device and the natural gas network together, namely the energy converter is in a third operation mode;
an electrical load greater than P Hcr When the electric gas conversion equipment does not work, electric energy is supplied by the power grid and the gas turbine together, and heat energy is supplied by the gas turbine and the gas boiler together; natural gas required by gas boilers and gas turbines, if the heat load power is lower than H Hcr The natural gas is independently supplied by a natural gas network, namely the energy converter is in a fourth operation mode; if the heat load power exceeds H Hcr The natural gas is supplied by the gas storage device and the natural gas network together, namely the energy converter is in a fifth operation mode;
in the 5 operation modes, the electric gas conversion equipment, the gas turbine and the gas boiler all operate at the maximum power when in operation, and the natural gas storage device also operates at the maximum gas charging and discharging capacity when in operation;
s4, determining a regional energy system source load coordination operation scheme according to the action critical value of the energy converter and 5 operation modes of the energy converter.
2. The regional energy system source load coordinated operation simple method based on electric gas conversion equipment according to claim 1, wherein in step S1, the energy conversion equipment comprises electric gas conversion equipment, a gas turbine and a gas boiler; the energy storage equipment refers to a natural gas storage device; the energy conversion equipment parameters comprise the energy conversion efficiency and the minimum/maximum output power of the equipment, and the energy storage equipment parameters comprise the storage equipment capacity, the maximum charge-discharge energy power and the charge-discharge energy efficiency.
3. The regional energy system source charge coordinated operation simple method based on electric conversion equipment according to claim 1, wherein in step S2, the regional energy converter comprises electric conversion equipment, a natural gas storage device, a gas turbine and a gas boiler, and is used for realizing the functions of electric conversion gas and cogeneration.
4. The regional energy system source load coordinated operation simple method based on the electric conversion equipment according to claim 3, wherein the electric conversion equipment is specifically as follows:
Figure FDA0004199856740000031
wherein G is P2G (t) and P P2G (T) natural gas power and electric power of the electric power conversion equipment at T time intervals, t=1, 2, …, T; t is the total time section number in the metering period; η (eta) P2G Natural gas production efficiency for the electric gas conversion equipment; p (P) P2G.min The minimum electric power for the electric conversion equipment; p (P) P2G.max Is the maximum electric power of the electric conversion equipment.
5. The regional energy system source load coordination operation simple method based on electric conversion equipment according to claim 3, wherein the natural gas storage device is specifically as follows:
the total gas storage capacity of each period cannot exceed the capacity of the equipment, and the gas charging and discharging capacity of each period cannot exceed the maximum gas charging and discharging capacity of the equipment per hour, namely:
Figure FDA0004199856740000032
wherein C is g (t) is the gas storage capacity of the natural gas storage device at the t-th time period; Δt is a unit time period; c (C) S Is the total capacity of the gas storage device;
Figure FDA0004199856740000033
and->
Figure FDA0004199856740000034
Respectively the inflation power and the deflation power of the natural gas storage device in the t-th period; />
Figure FDA0004199856740000035
And
Figure FDA0004199856740000036
respectively the inflation efficiency and the deflation efficiency of the natural gas storage device; g Cg.max The maximum air charging and discharging capacity of the air storage device is achieved.
6. The regional energy system source load coordination operation simple method based on electric conversion equipment according to claim 3, wherein the gas turbine is specifically as follows:
Figure FDA0004199856740000041
wherein P is GT (t)，G GT (t)，H GT (t) electric power, natural gas power and thermal power of the gas turbine, respectively; η (eta) PGT And eta HGT The power generation efficiency and the heat generation efficiency of the gas turbine are respectively; p (P) GT.min Minimum output electric power for the gas turbine; p (P) GT.max Is the maximum output electric power of the gas turbine.
7. The regional energy system source load coordinated operation simple method based on electric gas conversion equipment according to claim 3, wherein the gas boiler is specifically as follows:
H GB (t)＝η GB G GB (t)；
wherein H is GB (t) and G GB (t) the thermal power and the natural gas power of the gas boiler at the period t respectively; η (eta) GB Is the heat generating efficiency of the gas boiler.
8. The method for facilitating coordinated operation of regional energy systems and loads based on electric power conversion equipment according to claim 1, wherein in step S4, the scheme for coordinated operation of regional energy systems and loads is determined according to the action threshold value of the energy converter and its 5 operation modes, specifically as follows,
predicting the electric load P (t) and the thermal load H (t) and the energy converter action critical value P in each period Hcr 、P Lcr 、H Hcr Comparison, if P (t)<P Lcr The energy converter operates in mode one; if P Lcr <P(t)<P Hcr And H (t)<H Hcr The energy converter operates in mode two; if P Lcr <P(t)<P Hcr And H (t)>H Hcr The energy converter operates in mode three; if P (t)>P Hcr And H (t)<H Hcr The energy converter operates in mode four; if P (t)>P Hcr And H (t)>H Hcr The energy converter operates in mode five.
CN202010579320.2A 2020-06-23 2020-06-23 Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment Active CN111899121B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010579320.2A CN111899121B (en) 2020-06-23 2020-06-23 Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010579320.2A CN111899121B (en) 2020-06-23 2020-06-23 Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment

Publications (2)

Publication Number Publication Date
CN111899121A CN111899121A (en) 2020-11-06
CN111899121B true CN111899121B (en) 2023-07-04

Family

ID=73207841

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010579320.2A Active CN111899121B (en) 2020-06-23 2020-06-23 Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment

Country Status (1)

Country Link
CN (1) CN111899121B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113139675B (en) * 2021-03-08 2023-02-28 深圳职业技术学院 Comprehensive electrical load interval prediction method for park comprehensive energy system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103928933A (en) * 2014-04-08 2014-07-16 深圳供电局有限公司 Distributed power supply reactive power control method for reducing voltage disturbance of power distribution network
CN108615902A (en) * 2018-05-17 2018-10-02 深圳职业技术学院 Multilayer aqueous tape casting prepares the method with anode functional layer intermediate temperature SOFC monocell
CN109102125A (en) * 2018-08-27 2018-12-28 国网河北省电力有限公司经济技术研究院 A kind of regional complex energy system planning method for considering natural gas network and electric car and coordinating
CN109524957A (en) * 2018-11-07 2019-03-26 国网浙江省电力有限公司经济技术研究院 Consider the integrated energy system Optimization Scheduling of carbon transaction mechanism and flexible load
CN110163415A (en) * 2019-04-22 2019-08-23 国网辽宁省电力有限公司经济技术研究院 A kind of multipotency streaming system multi objective fuzzy cooperative optimization method under Study on Variable Condition Features
CN110210747A (en) * 2019-05-28 2019-09-06 河海大学 A kind of electric heating gas interconnection energy resource system flexibility dispatching method
CN110245863A (en) * 2019-06-14 2019-09-17 东北大学 A kind of electrical association system based on electric conversion energy storage and regulate and control method online

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10498155B2 (en) * 2016-03-29 2019-12-03 Solarcity Corporation Control system for maintaining preferred battery levels in a microgrid

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103928933A (en) * 2014-04-08 2014-07-16 深圳供电局有限公司 Distributed power supply reactive power control method for reducing voltage disturbance of power distribution network
CN108615902A (en) * 2018-05-17 2018-10-02 深圳职业技术学院 Multilayer aqueous tape casting prepares the method with anode functional layer intermediate temperature SOFC monocell
CN109102125A (en) * 2018-08-27 2018-12-28 国网河北省电力有限公司经济技术研究院 A kind of regional complex energy system planning method for considering natural gas network and electric car and coordinating
CN109524957A (en) * 2018-11-07 2019-03-26 国网浙江省电力有限公司经济技术研究院 Consider the integrated energy system Optimization Scheduling of carbon transaction mechanism and flexible load
CN110163415A (en) * 2019-04-22 2019-08-23 国网辽宁省电力有限公司经济技术研究院 A kind of multipotency streaming system multi objective fuzzy cooperative optimization method under Study on Variable Condition Features
CN110210747A (en) * 2019-05-28 2019-09-06 河海大学 A kind of electric heating gas interconnection energy resource system flexibility dispatching method
CN110245863A (en) * 2019-06-14 2019-09-17 东北大学 A kind of electrical association system based on electric conversion energy storage and regulate and control method online

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
Source-load-storage consistency collaborative optimization control of flexible DC distribution network considering multi-energy complementarity;Yang Gao 等;《International Journal of Electrical Power & Energy Systems》;第107卷;第273-281页 *
Study on coupled planning of power grid and gas network considering P2G device;Dongsen Li 等;《 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)》;第1-6页 *
含电转气及电转热的园区综合能源系统建模与优化运行;于雪风 等;《电力需求侧管理》;第22卷(第1期);第58-63、80页 *
电—气互联系统协同运行优化的模型与算法研究;陈泽兴;《中国博士学位论文全文数据库 工程科技Ⅱ辑》(第1期);第C042-218页 *
计及分布式发电随机特性的联系数潮流计算;匡萃浙 等;《科学技术与工程》;第14卷(第2期);第108-111页 *

Also Published As

Publication number Publication date
CN111899121A (en) 2020-11-06

Similar Documents

Publication Publication Date Title
CN111445090B (en) Double-layer planning method for off-grid type comprehensive energy system
CN108154309B (en) Energy internet economic dispatching method considering multi-load dynamic response of cold, heat and electricity
CN109767105B (en) Wind, light, water, fire and storage combined system-based multi-energy complementary coordinated power generation scheduling method
CN111969603B (en) Micro-energy network system and cooperative optimization operation control method thereof
CN107958300A (en) A kind of more microgrid interconnected operation coordinated scheduling optimization methods for considering interactive response
CN110826815B (en) Regional comprehensive energy system operation optimization method considering comprehensive demand response
CN110689189A (en) Combined cooling heating and power supply and demand balance optimization scheduling method considering energy supply side and demand side
CN110991000B (en) Modeling method for energy hub considering solid oxide fuel cell and electric conversion gas
CN111144620A (en) Electricity-hydrogen comprehensive energy system considering seasonal hydrogen storage and robust planning method thereof
Brahman et al. Optimal energy management of hybrid CCHP and PV in a residential building
Fu et al. Model predictive control of an integrated energy microgrid combining power to heat and hydrogen
CN114066204A (en) Integrated optimization planning and operation method and device of comprehensive energy system
CN111899121B (en) Regional energy system source-load coordinated operation simple method based on electric gas conversion equipment
CN110992206B (en) Optimal scheduling method and system for multi-source electric field
Manmadharao et al. Design and Optimization of Grid Integrated Solar Energy System Using HOMER GRID software
CN109376406B (en) Energy supply system superstructure model, modeling method, computer device and storage medium
CN107871052A (en) A kind of meter and regenerative resource and the energy hub Optimal Operation Model of energy storage
CN115099007B (en) Comprehensive energy system optimized operation method based on comprehensive cost-energy consumption curve
CN113762643B (en) Energy storage capacity optimization configuration method of regional comprehensive energy system
CN116207760A (en) Source network charge storage capacity configuration method
CN111899125B (en) Optimized modeling operation method, device and medium of comprehensive energy system
CN114386256A (en) Regional electric heating system optimal scheduling method considering flexibility constraint of electric heating equipment and heat supply network characteristics
CN107528352A (en) A kind of power distribution network active optimization method based on regenerative resource high permeability
Heo et al. Energy resource capacity optimization for zero-energy housing complex
CN111404180A (en) Optimized scheduling method and system for comprehensive energy system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant