CN112531770A - Multi-energy flow modeling method applied to multi-energy complementary system - Google Patents
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- 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- 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
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- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
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Abstract
The invention relates to a multi-energy flow modeling method applied to a multi-energy complementary system. The invention relates to the technical field of thermoelectric system complementation, and takes a power grid and a natural gas grid as model input energy sources. In this network, the input of the CHP plant is connected directly to the natural gas input point. The CHP generates electrical and thermal energy by burning natural gas, with its output ports connected to cables and thermal networks, respectively. The produced redundant + electric energy can be transmitted to an electric power storage device, the input end of the heat pump is connected with a power line, the heat pump can be supplied with power by a main power network or the electric power storage device, and the output end of the heat pump is connected with a heating power network. The energy of the heat storage device and the heat power network flows in two directions to meet the requirement of heat load. When the micro gas turbine operates at a high power, the storage battery is in a charging state, and the multifunctional complementary system can sell electricity to a large power grid, so that the economic operation of the multifunctional micro grid is realized.
Description
Technical Field
The invention relates to the technical field of thermoelectric system complementation, in particular to a multi-energy flow modeling method applied to a multi-energy complementary system.
Background
How to improve the use efficiency of new energy becomes the key of energy structure transformation, and establishing a safe and efficient modern energy system becomes the major key of each country. The energy internet which takes the power grid as the core, such as the internet technology, the new energy utilization technology and the like, is fused, is an important way for realizing energy reformation, and becomes the focus of attention in academic circles and industrial circles at home and abroad.
At present, the research for modeling a multi-energy flow system/network is less, and the problem to be solved primarily by multi-energy flow modeling is how to describe the conversion relationship among energy sources. In the energy conversion relation modeling research, the model can be divided into an equipment level, a system level and a network level according to different quantities of modeled objects. In plant level modeling, power generation and energy storage are often considered. The modeling methods of the generating power model of the photovoltaic cell can be divided into two types, namely a data driving method and a physical model method. The photovoltaic power generation power prediction method based on the data driving model is that the data driving model is built through a machine learning method or a statistical method according to the past historical power generation power, and the current power generation power is obtained through prediction. In terms of network modeling, the traditional energy flow modeling only aims at one type of energy, such as a power flow model of a power system, and a cold and hot air system for constructing a heat supply network and an air network model according to the characteristics of pipelines, circulating pumps and heat loads in the system.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides the following technical scheme: a multi-energy flow modeling method applied to a multi-energy complementary system comprises the following steps:
a multi-energy flow modeling method applied to a multi-energy complementary system comprises the following steps:
step 1: determining a relationship between the generated heat energy and the electric energy based on the gas turbine and the internal combustion type;
step 2: establishing a heat pump model according to the relation between the generated heat energy and the electric energy;
and step 3: determining the residual energy at the moment T based on the established heat pump model;
and 4, step 4: and establishing an electricity, gas and heat mixed energy flow model according to the residual energy at the time T, and establishing a power model according to the electricity, gas and heat mixed energy flow model to realize the operation of the multifunctional micro-grid.
Preferably, the step 1 specifically comprises: determining the relationship between the heat energy and the electric energy emitted by the gas turbine CHP and the internal combustion reciprocating engine CHP according to the heating and power supply modes of the gas turbine CHP and the internal combustion reciprocating engine CHP, and expressing the relationship between the heat energy and the electric energy emitted by the gas turbine CHP and the internal combustion reciprocating engine CHP by the following formula:
wherein, cCHPThe heat-electricity ratio of the CHP unit of the internal combustion reciprocating engine is shown; hCHPAnd PCHPRespectively the heat power generated by the CHP unit of the internal combustion reciprocating engineElectrical power; the heat-to-electricity ratio of the gas turbine CHP to the internal combustion reciprocating engine is constant.
Preferably, the step 2 specifically comprises: the heat pump transfers the heat energy of the low-level heat source to the device of the high-level heat source through the compressor, a heat pump model is established according to the relation between the generated heat energy and the electric energy, and the heat pump model is represented by the following formula:
φHP＝COPHPPHP
wherein, PHPFor the power consumption of the heat pump, phiHPFor heat pump to produce heat power, COPHPIs the heat pump heating coefficient.
Preferably, the step 3 specifically comprises: the index parameters of the electric energy storage device comprise equipment capacity, charge-discharge multiplying power and charge state, the electric energy storage residual energy at the T moment is determined and determined based on the heat pump model according to the index parameters, and the electric energy storage residual energy at the T moment is represented by the following formula:
wherein E isremain(T) is the residual capacity of the electrical energy storage at time T, σ is the self-discharge efficiency of the electrical energy storage, Pin(t) charging power at time t, μinFor charging efficiency, Pout(T) charging Power at time T, μoutTo discharge efficiency;
determining the residual energy of the thermal energy storage device at the T moment according to the heat storage and heat dissipation rate, the heat absorption efficiency, the heat release efficiency and the heat absorption power, and expressing the residual energy of the electrical energy storage at the T moment by the following formula:
wherein Hremain(T) residual capacity of thermal energy storage at T moment, gamma is heat loss rate of thermal energy storage, and QinIn order to absorb the heat power,
for heat absorption efficiency, Qout(T) is the exothermic power at time T,
the heat release efficiency is obtained;
and the residual energy at the T moment is the sum of the residual energy of the electric energy storage at the T moment and the residual energy of the electric energy storage at the T moment.
Preferably, an electric, gas and heat mixed energy flow model is established according to the residual energy at the time T, and the model specifically comprises: the power grid and the natural gas grid are used as model input energy sources, the input end of the gas turbine CHP is directly connected with a natural gas input point, the gas turbine CHP generates electric energy and heat energy by burning natural gas, the output port of the gas turbine CHP is respectively connected with a cable and a heating power network, and the produced redundant electric energy is transmitted to the electric power storage device;
the input end of the heat pump is connected with a power line, the power is supplied through a main power network or supplied by an electricity storage device, and the output end of the heat pump is connected with a heating power network; the energy of the heat storage device and the heat power network flows in two directions to meet the requirement of heat load.
Preferably, in combination with the cost and the constraint condition of each unit, the electricity, gas and heat mixed energy flow model is established by the following formula, and the power model is established according to the electricity, gas and heat mixed energy flow model by the following formula to realize the economic operation of the multi-energy microgrid:
wherein L isnIs the power column vector of the input end; cnnThe coupling matrix is a coupling matrix, and the coefficient size of the coupling matrix is related to the conversion efficiency, the scheduling coefficient and the constraint condition; pnAnd representing an energy load power column vector, wherein n is the nth unit in the multi-energy system.
The invention has the following beneficial effects:
the invention takes a power grid and a natural gas grid as model input energy sources. In this network, the input of the CHP plant is connected directly to the natural gas input point. The CHP generates electrical and thermal energy by burning natural gas, with its output ports connected to cables and thermal networks, respectively. The produced redundant + electric energy can be transmitted to an electric power storage device, the input end of the heat pump is connected with a power line, the heat pump can be supplied with power by a main power network or the electric power storage device, and the output end of the heat pump is connected with a heating power network. The energy of the heat storage device and the heat power network flows in two directions to meet the requirement of heat load. When the micro gas turbine operates at a high power, the storage battery is in a charging state, and the multifunctional complementary system can sell electricity to a large power grid, so that the economic operation of the multifunctional micro grid is realized.
Drawings
FIG. 1 is a diagram of a typical CHP system configuration;
FIG. 2 is a schematic diagram of an electric, gas and thermal energy mixing flow model;
FIG. 3 is a diagram showing simulation results of various units of the system.
Detailed Description
The present invention will be described in detail with reference to specific examples.
The first embodiment is as follows:
according to fig. 1 to 3, the present invention provides a method for modeling a multi-energy flow applied to a multi-energy complementary system, and the method for modeling the multi-energy flow applied to the multi-energy complementary system includes the following steps:
a multi-energy flow modeling method applied to a multi-energy complementary system comprises the following steps:
step 1: determining a relationship between the generated heat energy and the electric energy based on the gas turbine and the internal combustion type;
the step 1 specifically comprises the following steps: determining the relationship between the heat energy and the electric energy emitted by the gas turbine CHP and the internal combustion reciprocating engine CHP according to the heating and power supply modes of the gas turbine CHP and the internal combustion reciprocating engine CHP, and expressing the relationship between the heat energy and the electric energy emitted by the gas turbine CHP and the internal combustion reciprocating engine CHP by the following formula:
wherein, cCHPFor internal combustion reciprocating engine CHP unit heatAn electrical ratio; hCHPAnd PCHPRespectively generating thermal power and electric power for the CHP unit of the internal combustion reciprocating engine; the heat-to-electricity ratio of the gas turbine CHP to the internal combustion reciprocating engine is constant.
Step 2: establishing a heat pump model according to the relation between the generated heat energy and the electric energy;
the step 2 specifically comprises the following steps: the heat pump transfers the heat energy of the low-level heat source to the device of the high-level heat source through the compressor, a heat pump model is established according to the relation between the generated heat energy and the electric energy, and the heat pump model is represented by the following formula:
φHP＝COPHPPHP
wherein, PHPFor the power consumption of the heat pump, phiHPFor heat pump to produce heat power, COPHPIs the heat pump heating coefficient.
And step 3: determining the residual energy at the moment T based on the established heat pump model;
the step 3 specifically comprises the following steps: the index parameters of the electric energy storage device comprise equipment capacity, charge-discharge multiplying power and charge state, the electric energy storage residual energy at the T moment is determined and determined based on the heat pump model according to the index parameters, and the electric energy storage residual energy at the T moment is represented by the following formula:
wherein E isremain(T) is the residual capacity of the electrical energy storage at time T, σ is the self-discharge efficiency of the electrical energy storage, Pin(t) charging power at time t, μinFor charging efficiency, Pout(T) charging Power at time T, μoutTo discharge efficiency;
determining the residual energy of the thermal energy storage device at the T moment according to the heat storage and heat dissipation rate, the heat absorption efficiency, the heat release efficiency and the heat absorption power, and expressing the residual energy of the electrical energy storage at the T moment by the following formula:
wherein Hremain(T) residual capacity of thermal energy storage at T moment, gamma is heat loss rate of thermal energy storage, and QinIn order to absorb the heat power,
for heat absorption efficiency, Qout(T) is the exothermic power at time T,
the heat release efficiency is obtained;
and the residual energy at the T moment is the sum of the residual energy of the electric energy storage at the T moment and the residual energy of the electric energy storage at the T moment.
And 4, step 4: and establishing an electricity, gas and heat mixed energy flow model according to the residual energy at the time T, and establishing a power model according to the electricity, gas and heat mixed energy flow model to realize the operation of the multifunctional micro-grid.
Establishing an electricity, gas and heat mixed energy flow model according to the residual energy at the time T, wherein the model specifically comprises the following steps: the power grid and the natural gas grid are used as model input energy sources, the input end of the gas turbine CHP is directly connected with a natural gas input point, the gas turbine CHP generates electric energy and heat energy by burning natural gas, the output port of the gas turbine CHP is respectively connected with a cable and a heating power network, and the produced redundant electric energy is transmitted to the electric power storage device;
the input end of the heat pump is connected with a power line, the power is supplied through a main power network or supplied by an electricity storage device, and the output end of the heat pump is connected with a heating power network; the energy of the heat storage device and the heat power network flows in two directions to meet the requirement of heat load.
Preferably, in combination with the cost and the constraint condition of each unit, the electricity, gas and heat mixed energy flow model is established by the following formula, and the power model is established according to the electricity, gas and heat mixed energy flow model by the following formula to realize the economic operation of the multi-energy microgrid:
wherein L isnIs a power column vector of the input terminal；CnnThe coupling matrix is a coupling matrix, and the coefficient size of the coupling matrix is related to the conversion efficiency, the scheduling coefficient and the constraint condition; pnAnd representing an energy load power column vector, wherein n is the nth unit in the multi-energy system.
The heat and power cogeneration equipment (CHP) is a common element connected with a power grid, a natural gas grid and a heat supply network, generally utilizes heat generated by burning natural gas to drive a generator to generate power, and high-temperature flue gas generated during power generation can be recycled and used for heating in winter and cooling in summer. A typical CHP system is composed as shown in fig. 1, and is mainly composed of a Power Generation Unit (PGU), a Heat Recovery Unit (HRU), and a thermal energy storage unit (TES). Typically, the PGU is a gas turbine and a gas internal combustion engine, and the HRU is a heating device. First, the fuel and excess air are mixed and burned to drive the prime mover, which in turn drives the generator to generate electricity for the user. The energy from the high temperature exhaust gases of the prime mover is recovered primarily by a heat recovery unit, conveniently using a heat transfer fluid, the recovered heat being available for the particular heating process. The energy from the low temperature exhaust gas from the heat recovery unit can be re-directed to the prime mover to generate more electricity, wherein the auxiliary boiler can be fueled if the electrical load is the primary load.
The schematic diagram of the model of the mixed energy flow of electricity, gas and heat proposed by the invention is shown in fig. 2. The power grid and the natural gas grid are used as model input energy sources. In this network, the input of the CHP plant is connected directly to the natural gas input point. The CHP generates electrical and thermal energy by burning natural gas, with its output ports connected to cables and thermal networks, respectively. The produced redundant + electric energy can be transmitted to an electric power storage device, the input end of the heat pump is connected with a power line, the heat pump can be supplied with power by a main power network or the electric power storage device, and the output end of the heat pump is connected with a heating power network. The energy of the heat storage device and the heat power network flows in two directions to meet the requirement of heat load. The operation conditions of each unit of the system obtained according to the established model are shown in fig. 3, and it can be known from the figure that when the micro gas turbine operates at a higher power, the storage battery is in a charging state, and the multi-energy complementary system can sell electricity to a large power grid.
The above description is only a preferred embodiment of the multi-energy flow modeling method applied to the multi-energy complementary system, and the protection scope of the multi-energy flow modeling method applied to the multi-energy complementary system is not limited to the above embodiments, and all technical solutions belonging to the idea belong to the protection scope of the present invention. It should be noted that modifications and variations which do not depart from the gist of the invention will be those skilled in the art to which the invention pertains and which are intended to be within the scope of the invention.
Claims (6)
1. A multi-energy flow modeling method applied to a multi-energy complementary system is characterized in that: the method comprises the following steps:
step 1: determining a relationship between the generated heat energy and the electric energy based on the gas turbine and the internal combustion type;
step 2: establishing a heat pump model according to the relation between the generated heat energy and the electric energy;
and step 3: determining the residual energy at the moment T based on the established heat pump model;
and 4, step 4: and establishing an electricity, gas and heat mixed energy flow model according to the residual energy at the time T, and establishing a power model according to the electricity, gas and heat mixed energy flow model to realize the operation of the multifunctional micro-grid.
2. The method as claimed in claim 1, wherein the method comprises: the step 1 specifically comprises the following steps: determining the relationship between the heat energy and the electric energy emitted by the gas turbine CHP and the internal combustion reciprocating engine CHP according to the heating and power supply modes of the gas turbine CHP and the internal combustion reciprocating engine CHP, and expressing the relationship between the heat energy and the electric energy emitted by the gas turbine CHP and the internal combustion reciprocating engine CHP by the following formula:
wherein, cCHPThe heat-electricity ratio of the CHP unit of the internal combustion reciprocating engine is shown; hCHPAnd PCHPRespectively generating thermal power and electric power for the CHP unit of the internal combustion reciprocating engine; the heat-electricity ratio of the gas turbine CHP and the internal combustion reciprocating engine is constantAnd (4) counting.
3. The method as claimed in claim 1, wherein the method comprises: the step 2 specifically comprises the following steps: the heat pump transfers the heat energy of the low-level heat source to the device of the high-level heat source through the compressor, a heat pump model is established according to the relation between the generated heat energy and the electric energy, and the heat pump model is represented by the following formula:
φHP＝COPHPPHP
wherein, PHPFor the power consumption of the heat pump, phiHPFor heat pump to produce heat power, COPHPIs the heat pump heating coefficient.
4. The method as claimed in claim 1, wherein the method comprises: the step 3 specifically comprises the following steps: the index parameters of the electric energy storage device comprise equipment capacity, charge-discharge multiplying power and charge state, the electric energy storage residual energy at the T moment is determined and determined based on the heat pump model according to the index parameters, and the electric energy storage residual energy at the T moment is represented by the following formula:
wherein E isremain(T) is the residual capacity of the electrical energy storage at time T, σ is the self-discharge efficiency of the electrical energy storage, Pin(t) charging power at time t, μinFor charging efficiency, Pout(T) charging Power at time T, μoutTo discharge efficiency;
determining the residual energy of the thermal energy storage device at the T moment according to the heat storage and heat dissipation rate, the heat absorption efficiency, the heat release efficiency and the heat absorption power, and expressing the residual energy of the electrical energy storage at the T moment by the following formula:
wherein Hremain(T) residual capacity of thermal energy storage at T moment, gamma is heat loss rate of thermal energy storage, and QinIn order to absorb the heat power,
for heat absorption efficiency, Qout(T) is the exothermic power at time T,
the heat release efficiency is obtained;
and the residual energy at the T moment is the sum of the residual energy of the electric energy storage at the T moment and the residual energy of the electric energy storage at the T moment.
5. The method as claimed in claim 1, wherein the method comprises: establishing an electricity, gas and heat mixed energy flow model according to the residual energy at the time T, wherein the model specifically comprises the following steps: the power grid and the natural gas grid are used as model input energy sources, the input end of the gas turbine CHP is directly connected with a natural gas input point, the gas turbine CHP generates electric energy and heat energy by burning natural gas, the output port of the gas turbine CHP is respectively connected with a cable and a heating power network, and the produced redundant electric energy is transmitted to the electric power storage device;
the input end of the heat pump is connected with a power line, the power is supplied through a main power network or supplied by an electricity storage device, and the output end of the heat pump is connected with a heating power network; the energy of the heat storage device and the heat power network flows in two directions to meet the requirement of heat load.
6. The method as claimed in claim 1, wherein the method comprises: and (2) combining the cost and the constraint condition of each unit, representing that an electricity, gas and heat mixed energy flow model is established to establish a power model through the following formula, representing that the power model is established according to the electricity, gas and heat mixed energy flow model to realize the economic operation of the multi-energy micro-grid through the following formula:
wherein L isnIs the power column vector of the input end; cnnThe coupling matrix is a coupling matrix, and the coefficient size of the coupling matrix is related to the conversion efficiency, the scheduling coefficient and the constraint condition; pnAnd representing an energy load power column vector, wherein n is the nth unit in the multi-energy system.
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Application publication date: 20210319 |