CN114077934A - Comprehensive energy microgrid interconnection system and scheduling method thereof - Google Patents
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Abstract
A scheduling method of an integrated energy microgrid interconnection system comprises the following steps: s1, acquiring parameter information of the comprehensive energy microgrid interconnection system; s2, establishing an energy coupling equipment model, wherein the energy coupling equipment model comprises a combined heat and power system model, a gas boiler model, an electric gas conversion equipment model, an electric boiler model and an energy storage equipment model, and the combined heat and power system model comprises a gas turbine model and a waste heat boiler model; s3, establishing an energy router model; s4, establishing a unified steady-state power flow model of the electric power, thermal power and natural gas system; s5, establishing an optimized scheduling model of the comprehensive energy microgrid interconnection system; and S6, solving the optimized scheduling model of the comprehensive energy microgrid interconnection system to obtain an optimal scheduling strategy. The design improves the energy efficiency utilization level of the system, thereby improving the environmental benefit and the economic benefit of the comprehensive energy microgrid.
Description
Technical Field
The invention relates to the technical field of energy, in particular to an integrated energy microgrid interconnection system and a scheduling method thereof, which are mainly suitable for improving the energy efficiency utilization level.
Background
With the development of energy crisis, distributed energy such as photovoltaic and wind power is widely concerned, and the distributed energy cannot be applied on a large scale due to the defects of decentralization, intermittence, volatility and the like. Traditionally, energy management systems such as electric energy, heat energy and natural gas are mutually independent, interaction does not exist among various energy sources, the comprehensive utilization rate of the energy sources is low, the condition of energy abandonment is easy to occur, and then the concept of an energy internet is provided. The energy internet is a novel energy utilization system for realizing safe, efficient and coordinated sharing by closely coupling energy and information, can flexibly and efficiently utilize various energy sources, relieves the energy crisis, and simultaneously conforms to the low-carbon, green and sustainable development concept. The energy router is used as important equipment in an energy internet, is a plug-in capable of controlling energy transmission and distribution and regulating and controlling energy, integrates the modern power electronic technology and the information communication technology, integrates a power electronic transformer, an energy converter, distributed energy, an energy storage device, a load, an information acquisition and transmission device and the like, and extends the characteristics of peer-to-peer opening, plug-and-play and open interconnection in the field of information networks.
With the diversification and distribution trend of energy demand, the interconnection of multiple energy systems becomes an important development direction of energy internet. In all aspects of energy production, transmission, storage, utilization and the like, the method of interconnection integration, cooperative scheduling and flexible configuration is required to be considered to analyze the whole energy system, so that energy interconnection is enhanced, and the necessary trend of development of a future energy system is formed by promoting the cooperative optimization and complementation of various energy sources. In the prior energy system, planning and design are mostly carried out independently, and the correlation among various energy systems is ignored; in the energy system considering energy coupling, the optimized operation and energy management aiming at a single comprehensive energy system are more realized, the interconnection and intercommunication of the comprehensive energy systems under multiple regions are not considered, and the characteristic mining on the energy Internet is insufficient.
In summary, currently, researches on the collaborative operation optimization of a plurality of comprehensive energy systems in the energy internet are few, and under the background of the rapid development of related researches on the energy internet, the energy management strategy of the comprehensive energy microgrid interconnection system has important research values and application prospects.
Disclosure of Invention
The invention aims to overcome the defects and problems of low energy efficiency utilization level in the prior art, and provides a comprehensive energy microgrid interconnection system with high energy efficiency utilization level and a scheduling method thereof.
In order to achieve the above purpose, the technical solution of the invention is as follows: a scheduling method of an integrated energy microgrid interconnection system comprises the following steps:
s1, acquiring parameter information of the comprehensive energy microgrid interconnection system;
s2, establishing an energy coupling equipment model, wherein the energy coupling equipment model comprises a combined heat and power system model, a gas boiler model, an electric gas conversion equipment model, an electric boiler model and an energy storage equipment model, and the combined heat and power system model comprises a gas turbine model and a waste heat boiler model;
s3, establishing an energy router model;
s4, establishing a unified steady-state power flow model of the electric power, thermal power and natural gas system;
s5, establishing an optimized scheduling model of the comprehensive energy microgrid interconnection system;
and S6, solving the optimized scheduling model of the comprehensive energy microgrid interconnection system to obtain an optimal scheduling strategy.
In step S1, the parameter information includes an energy coupling device parameter, an energy router parameter, a sub-energy system parameter inside the microgrid, interconnection topology information, economic cost information, carbon emission information, safe operation constraint information, and various microgrid load information.
In step S2, the gas turbine model is:
in the formula (I), the compound is shown in the specification,in order to achieve the power generation efficiency of the gas turbine,in order to achieve the waste heat recovery efficiency of the gas turbine,for the recovery of power from the exhaust waste heat of the gas turbine,is the power generated by the gas turbine,for operating time internal combustionThe amount of natural gas consumed by the gas turbine,is the heat value of natural gas;
the waste heat boiler model is as follows:
in the formula (I), the compound is shown in the specification,is the output power of the waste heat boiler,for the recovery of power from the exhaust waste heat of the gas turbine,the heat conversion efficiency of the waste heat boiler is obtained;
the gas boiler model is as follows:
in the formula (I), the compound is shown in the specification,is the thermal power of the gas-fired boiler,is a gas boilerThe amount of gas consumed in the time period,the heat efficiency of the gas boiler;
the electric gas conversion equipment model is as follows:
in the formula (I), the compound is shown in the specification,is the natural gas production of an electric gas-to-gas plant,in order for the electric power conversion equipment to consume electric power,in order to improve the working efficiency of the electric gas conversion equipment,in order to be the energy conversion factor,a high calorific value;
the electric boiler model is as follows:
in the formula (I), the compound is shown in the specification,for the output heating power of the electric boiler,is the input electrical power for the electrical refrigerator,the energy efficiency ratio of the electric refrigerator;
the energy storage equipment model is as follows:
in the formula (I), the compound is shown in the specification,for energy storage devices inThe amount of energy stored over a period of time,is composed ofTime period toThe time interval of the time period is,is composed ofThe power stored in the energy storage device is used for a period of time,in order to achieve the energy storage efficiency of the energy storage device,is composed ofThe power that is discharged in a time period,the energy coefficient of the energy loss or self-loss of the energy storage device to the environment,the discharging efficiency of the energy storage device is improved.
In step S3, the energy router model is:
in the formula (I), the compound is shown in the specification,is an input matrix of the energy router,is a translation and transmission matrix of the energy router,is the output matrix of the energy router,andare respectively the firstOutput and input of seed energy, off-diagonal elementsAs a source of energyAnd energy sourceCoefficient of conversion between, diagonal elementsIs the same energy sourceDistribution and loss factor of (2);
in the formula (I), the compound is shown in the specification,andthe distribution coefficient, the sum of the distribution coefficients of the same energy sources is 1,;coupling the conversion efficiency of the equipment for energy;the transmission loss coefficient between the same energy sources.
In step S4, the unified steady-state power flow model of the power, thermal and natural gas system includes:
the thermodynamic system model is as follows:
in the formula (I), the compound is shown in the specification,is a nodeThe heat source at the location supplies thermal power or the thermal load demands thermal power,the specific heat capacity of the hot water is,for flowing out of heat sources or into heat load nodesThe quality of the water flow of (a),is the output heat power of the waste heat boiler,is the output thermal power of the gas-fired boiler,is used for outputting the thermal power of the electric boiler,is the thermal power of the thermal energy port of the energy router,in order to be the thermal load power,is a nodeThe temperature at which hot water flows out of the heat source or into the heat load,is a nodeThe temperature at which the hot water flows into the heat source or out of the heat load;
the loss of thermal energy in the thermal conduit transmission is described by the drop in temperature of the water stream in the conduit:
in the formula (I), the compound is shown in the specification,、、are respectively pipelinesThe ambient temperature, the head end temperature, the tail end temperature,、、are respectively pipelinesHeat transfer coefficient, pipe length, mass flow rate;
at the junction of the pipelines, the hot water meets the law of conservation of energy, and the inflow and outflow relations at the junction of the nodes are as follows:
in the formula (I), the compound is shown in the specification,、are respectively inflow nodesThe temperature and the mass flow of the hot water at the tail end of the pipeline,、are respectively outflow nodesThe temperature and mass flow of the hot water at the beginning of the pipeline;
the natural gas system model is as follows:
in the formula (I), the compound is shown in the specification,、、、respectively is natural gas flow, pipeline characteristic parameters, natural gas flow direction variable and pressure intensity; subscript、、Respectively a pipeline head end node, a pipeline tail end node and a pipeline;
the compressor model is as follows:
in the formula (I), the compound is shown in the specification,a pressure generated for the compressor;、、respectively a compressor characteristic parameter, a compressor consumed flow and a compressor factor related parameter; subscriptIs a compressor;、、is a compressor consumption characteristic curve parameter;
nodes in the natural gas system satisfy the law of conservation of flow, namely:
in the formula (I), the compound is shown in the specification,in order to purchase the gas quantity,for connecting to nodes of distribution networkThe set of devices of (a) is,in the gas distribution networkA set of branch end nodes that are head-end nodes,in the gas distribution networkIs a set of branch head-end nodes of the end node,for flowing into end nodesThe amount of the natural gas of (a),to flow into the head-end nodeThe amount of the natural gas of (a),is composed ofTime interval gas loadThe predicted value of (a) is determined,、、are respectively asThe natural gas consumption of the gas turbine, the natural gas consumption of the gas boiler and the natural gas generation amount of the electric gas conversion equipment in a time interval;
the power system model is as follows:
in the formula (I), the compound is shown in the specification,、、are respectively nodesTo a nodeBranch circuitActive power, reactive power, current;andare respectively a sectionDotTo a nodeBranch circuitActive power and reactive power of;andare respectively a branchResistance and reactance of (d);andare respectively nodesAnd nodeVoltage of (d);andrespectively the active power and the reactive power of the power supporting equipment in the microgrid;andare respectively a littleActive power and reactive power of loads inside the network;andrespectively generating active power and reactive power for the combined heat and power system;andrespectively the active power and the reactive power consumed by the electric gas conversion equipment;andrespectively the active power and the reactive power consumed by the electric boiler;indicating the starting point of the branch asEnd point is。
In step S5, the objective function of the integrated energy microgrid interconnection system optimization scheduling model is to minimize the operating cost of the system, as follows:
in the formula (I), the compound is shown in the specification,in order to achieve the cost of gas purchase,in order to achieve the cost of electricity purchase,in order to achieve the cost of heat supply,in order to reduce the cost of operating and maintaining the energy coupling equipment,in order to reduce the cost of the energy network,punishing cost for wind and light abandonment;
in the formula (I), the compound is shown in the specification,in order to be the price of the natural gas,is as followsThe gas purchasing quantity of a natural gas plant;
in the formula (I), the compound is shown in the specification,the price of the electricity is the price of the electricity,is as followsThe electricity purchasing power of the electric power equipment is planted;
in the formula (I), the compound is shown in the specification,in order to provide the heat at a price,is as followsThermal power requirements of the seed thermal device;
in the formula (I), the compound is shown in the specification,is as followsThe coefficient of the maintenance cost of the equipment is determined,is as followsPower of the energy source coupling device;
in the formula (I), the compound is shown in the specification,is the loss of the network of the natural gas,in order to be a loss of the network of electric power,network losses for thermal energy;
in the formula (I), the compound is shown in the specification,in order to discard the wind power,to discard the optical power.
In the step S5, the constraint conditions of the integrated energy microgrid interconnection system optimized scheduling model include energy coupling device operation constraints, integrated energy microgrid system operation constraints and power balance constraints;
(1) energy coupling device operational constraints
The power constraints of the energy coupling device are:
in the formula (I), the compound is shown in the specification,is as followsThe energy source-like coupling device is connected with the power supply,is as followsEnergy-like coupling deviceThe power of the time period is,in order to be the lower limit of the power,is the upper power limit;
for energy storage devices, the capacity constraint is:
in the formula (I), the compound is shown in the specification,for energy storage devices inThe amount of energy stored over a period of time,for the lower limit of the capacity of the energy storage device,is the upper limit of the capacity of the energy storage equipment;
(2) operation constraint of comprehensive energy micro-grid interconnection system
The operating constraints of the thermodynamic system are:
in the formula (I), the compound is shown in the specification,andthe lower limit and the upper limit of the temperature of the hot water for supplying water to the node are respectively,andrespectively is the lower limit and the upper limit of the temperature of the node return water hot water,andrespectively is the lower limit and the upper limit of the mass flow of the thermal power pipeline;
the operating constraints of a natural gas system are:
in the formula (I), the compound is shown in the specification,andrespectively the lower limit and the upper limit of the node pressure,andrespectively the lower limit and the upper limit of the natural gas flow of the pipeline,andthe lower limit and the upper limit of the compression ratio of the compressor are respectively;
the operating constraints of the power system are:
in the formula (I), the compound is shown in the specification,andare respectively nodesThe lower and upper limits of the voltage are,is a branchUpper limit of current value of (1).
In step S6, an improved quantum-behaved particle swarm optimization is used to solve the optimized scheduling model of the integrated energy microgrid interconnection system, and the solving step is:
(1) inputting initial data;
(2) initializing a particle population according to the probability amplitude of the qubit;
(3) solving the electricity, heat and gas comprehensive power flow in each microgrid, judging whether the optimized scheduling has a solution or not, and if not, setting a fitness function value to be infinite; otherwise, storing the solution;
(4) calculating a fitness function value;
(5) checking whether the iteration times reach an upper limit, and if so, outputting an optimal scheduling strategy; otherwise, updating the particles and returning to the step (3).
In step S6, the quantum-behaved particle swarm optimization is improved as follows:
(1) particle encoding
The improved quantum particle swarm algorithm adopts the probability amplitude of the quantum bit as the current position code of the particle, and the formula is as follows:
in the formula (I), the compound is shown in the specification,is as followsA particle position;is the solution space dimension;andare respectively the firstA particle ofThe cosine position and the sine position corresponding to the dimension are maintained;
converting two unit space positions of particles into solution space sine positions of optimization problemAnd cosine positionThe conversion formula is as follows:
in the formula (I), the compound is shown in the specification,andare respectively quantum ofMaximum and minimum values for each position;
(2) particle location update
Updating the preferred position with the quantum behavioral position update equation, and returningValue, thereby constituting an updated secondThe sine position and the cosine position of each particle form a new generationEncoding the current position of each particle; the position update equation is as follows:
in the formula (I), the compound is shown in the specification,the number is given to the current particle,is as followsThe number of sub-iterations is,andrespectively as the particle individual optimal position and the population global optimal position,andare all made ofThe random number of (2) is greater than,the size of the population is the number of cells,is the average value of the optimal positions of all particle individuals in the population,is a contraction-expansion factor.
The comprehensive energy microgrid interconnection system comprises a comprehensive energy microgrid and an energy router, wherein the comprehensive energy microgrid comprises an electric power network, a heat network, a natural gas network, a combined heat and power system, an electric heating boiler, a gas boiler and electric gas conversion equipment, the electric power network is connected with the heat network through the electric heating boiler, the electric power network is connected with the natural gas network through the electric gas conversion equipment, the electric power network is connected with the natural gas network and the heat network through the combined heat and power system, the natural gas network is connected with the heat network through the gas boiler, the combined heat and power system comprises a gas turbine and a waste heat boiler, the comprehensive energy microgrids are mutually connected through energy, the energy router comprises an electric energy port, a heat energy port, a gas port, an electric energy conversion power module, an energy conversion power module and a control center, and the control center is respectively connected with the electric energy conversion power module, the energy router, The energy conversion power module is connected.
Compared with the prior art, the invention has the beneficial effects that:
in the comprehensive energy microgrid interconnection system and the scheduling method thereof, the power, heat and natural gas system is cooperatively scheduled by strengthening the coupling complementary relationship between different energy flow forms such as electricity, heat and gas in the microgrid and between the microgrid, so that the multi-energy coordination complementary benefit potential can be exerted, the economy, low carbon and flexibility of the interconnection system are improved, and the capability of resource optimization configuration is improved; the interconnection of the electric and thermal gas systems provides more flexibility for operation scheduling, and distributed optimization realizes coordinated optimization scheduling considering all areas, balance low carbon and economic targets. Therefore, the invention improves the energy efficiency utilization level of the system, thereby improving the environmental benefit and the economic benefit of the comprehensive energy microgrid.
Drawings
Fig. 1 is a flowchart of a scheduling method of the integrated energy microgrid interconnection system according to the present invention.
Fig. 2 is a schematic structural diagram of the integrated energy microgrid interconnection system.
FIG. 3 is a schematic diagram of an energy router according to the present invention.
Fig. 4 is a schematic diagram of the electrical/thermal/gas energy conversion of the present invention.
Fig. 5 is a schematic diagram of a solving process of the optimization scheduling model of the integrated energy microgrid interconnection system in the invention.
Detailed Description
The present invention will be described in further detail with reference to the following description and embodiments in conjunction with the accompanying drawings.
Referring to fig. 1, a scheduling method of an integrated energy microgrid interconnection system includes the following steps:
s1, acquiring parameter information of the comprehensive energy microgrid interconnection system;
the parameter information comprises energy coupling equipment parameters, energy router parameters, energy subsystem parameters in the micro-grid, interconnection topological structure information, economic cost information, carbon emission information, safe operation constraint information and various micro-grid load information;
s2, establishing an energy coupling equipment model, wherein the energy coupling equipment model comprises a combined heat and power system model, a gas boiler model, an electric gas conversion equipment model, an electric boiler model and an energy storage equipment model, and the combined heat and power system model comprises a gas turbine model and a waste heat boiler model;
the gas turbine model is as follows:
in the formula (I), the compound is shown in the specification,in order to achieve the power generation efficiency of the gas turbine,in order to achieve the waste heat recovery efficiency of the gas turbine,for the recovery of power from the exhaust waste heat of the gas turbine,is the power generated by the gas turbine,the amount of natural gas consumed by the gas turbine for runtime;for the heat value of natural gas, generally 9.7kW multiplied by h/m is taken3;
The exhaust-heat boiler collects the exhaust heat generated by the gas turbine, the output power is related to the efficiency of the exhaust-heat boiler, and the exhaust-heat boiler model is as follows:
in the formula (I), the compound is shown in the specification,is the output power of the waste heat boiler,for the recovery of power from the exhaust waste heat of the gas turbine,the heat conversion efficiency of the waste heat boiler is obtained;
the heat quantity generated by the gas boiler is related to the boiler efficiency and the fuel quantity, and the gas boiler model is as follows:
in the formula (I), the compound is shown in the specification,is the thermal power of the gas-fired boiler,is a gas boilerThe amount of gas consumed in the time period,the heat efficiency of the gas boiler;
the electric gas conversion equipment is regarded as a gas source in a natural gas network and regarded as a load in an electric power system, and the electric gas conversion equipment model is as follows:
in the formula (I), the compound is shown in the specification,is the natural gas production of an electric gas-to-gas plant,in order for the electric power conversion equipment to consume electric power,the working efficiency of the electric gas conversion equipment is improved;for the energy conversion coefficient, it is usually taken as;At a high calorific value, the value is taken;
The heating power provided by the electric boiler is related to the input electric power and the energy efficiency ratio, and the electric boiler model is as follows:
in the formula (I), the compound is shown in the specification,for the output heating power of the electric boiler,is the input electrical power for the electrical refrigerator,the energy efficiency ratio of the electric refrigerator;
the energy storage device comprises energy storage devices of various energy sources, including heat storage, electricity storage, gas storage devices and the like, and the energy storage device model is as follows:
in the formula (I), the compound is shown in the specification,for energy storage devices inThe amount of energy stored over a period of time,is composed ofTime period toTime interval of the period,Is composed ofThe power stored in the energy storage device is used for a period of time,in order to achieve the energy storage efficiency of the energy storage device,is composed ofThe power that is discharged in a time period,the energy coefficient of the energy loss or self-loss of the energy storage device to the environment,the discharging efficiency of the energy storage equipment is obtained; the energy storage device cannot store and release energy simultaneously within a certain time period;
s3, establishing an energy router model, wherein the energy router model comprises a transmission and conversion model of various energies;
as shown in fig. 3, the energy router uses a matrix to describe the energy flow characteristics in the energy router, and connects the input, conversion, and output of multiple energy sources together, so as to more intuitively embody energy interaction and coupling, and the energy router model is as follows:
in the formula (I), the compound is shown in the specification,is an input matrix of the energy router,is a translation and transmission matrix of the energy router,is the output matrix of the energy router,andare respectively the firstSeed energy source output and input; off diagonal elementsAs a source of energyAnd energy sourceThe conversion coefficient mainly comprises an energy distribution coefficient and the efficiency of energy elements, wherein the distribution coefficient is that the input energy is distributed to different energy conversion devices in proportion; diagonal line elementIs the same energy sourceDistribution and loss factor of (2);
in the formula (I), the compound is shown in the specification,andthe distribution coefficient, the sum of the distribution coefficients of the same energy sources is 1,;coupling the conversion efficiency of the equipment for energy;the transmission loss coefficient between the same energy sources;
s4, establishing a unified steady-state power flow model of the electric power, thermal power and natural gas system;
the unified steady-state power flow model of the electric power, thermal power and natural gas system comprises the following steps:
the thermodynamic system generally comprises a heat source, a heat supply network and a heat load, the heat energy transmitted or consumed by the thermodynamic system is determined by the flow rate and the temperature of water, and the thermodynamic system model is as follows:
in the formula (I), the compound is shown in the specification,is a nodeHeat source ofSupplying thermal power or thermal load demand thermal power,the specific heat capacity of the hot water is,for flowing out of heat sources or into heat load nodesThe quality of the water flow of (a),is the output heat power of the waste heat boiler,is the output thermal power of the gas-fired boiler,is used for outputting the thermal power of the electric boiler,is the thermal power of the thermal energy port of the energy router,in order to be the thermal load power,is a nodeThe temperature at which hot water flows out of the heat source or into the heat load,is a nodeThe temperature at which the hot water flows into the heat source or out of the heat load;
the loss of thermal energy in the thermal conduit transmission is described by the drop in temperature of the water stream in the conduit:
in the formula (I), the compound is shown in the specification,、、are respectively pipelinesThe ambient temperature, the head end temperature, the tail end temperature,、、are respectively pipelinesHeat transfer coefficient, pipe length, mass flow rate;
at the junction of the pipelines, the hot water meets the law of conservation of energy, and the inflow and outflow relations at the junction of the nodes are as follows:
in the formula, due to the inflow nodeDifferent pipelines have different water flow quality and temperature, and the slave nodeThe temperature of the water flow flowing out is the same,、are respectively inflow nodesThe temperature and the mass flow of the hot water at the tail end of the pipeline,、are respectively outflow nodesThe temperature and mass flow of the hot water at the beginning of the pipeline;
the natural gas system mainly comprises a natural gas pipeline, a pressurizing station, a gas load, a regulating valve and the like; can realize the control to the natural gas line gas flow effectively through adjusting air-vent valve etc. and the natural gas line gas flow is closely related with the pressure and the pipeline transmission condition of pipeline both sides node, and the natural gas system model is:
in the formula (I), the compound is shown in the specification,、、、respectively is natural gas flow, pipeline characteristic parameters, natural gas flow direction variable and pressure intensity; subscript、、Respectively a pipeline head end node, a pipeline tail end node and a pipeline; when in useWhen the temperature of the water is higher than the set temperature,(ii) a If not, then,;
the pressurization station comprises gas turbine, engine and compressor, offsets the pressure that consumes in the transportation process through the natural gas pressurization in to the pipeline, and gas turbine draws the natural gas from the filling station and provides required electric energy for compressor work, and the compressor model is:
in the formula (I), the compound is shown in the specification,a pressure generated for the compressor;、、respectively a compressor characteristic parameter, a compressor consumed flow and a compressor factor related parameter; subscriptIs a compressor;、、is a compressor consumption characteristic curve parameter;
nodes in the natural gas system satisfy the law of conservation of flow, namely:
in the formula (I), the compound is shown in the specification,in order to purchase the gas quantity,for connecting to nodes of distribution networkThe set of devices of (a) is,in the gas distribution networkA set of branch end nodes that are head-end nodes,in the gas distribution networkIs a set of branch head-end nodes of the end node,for flowing into end nodesThe amount of the natural gas of (a),to flow into the head-end nodeThe amount of the natural gas of (a),is composed ofTime interval gas loadThe predicted value of (a) is determined,、、are respectively asThe natural gas consumption of the gas turbine, the natural gas consumption of the gas boiler and the natural gas generation amount of the electric gas conversion equipment in a time interval;
the electric power system adopts a DistFlow power flow model of an alternating-current power distribution network, and the electric power system model is as follows:
in the formula (I), the compound is shown in the specification,、、are respectively nodesTo a nodeBranch circuitActive power, reactive power, current;andare respectively nodesTo a nodeBranch circuitActive power and reactive power of;andare respectively a branchResistance and reactance of (d);andare respectively nodesAnd nodeVoltage of (d);andrespectively the active power and the reactive power of the power supporting equipment in the microgrid;andrespectively the active power and the reactive power of the internal load of the microgrid;andare respectively provided withActive power and reactive power generated by the combined heat and power system;andrespectively the active power and the reactive power consumed by the electric gas conversion equipment;andrespectively the active power and the reactive power consumed by the electric boiler;indicating the starting point of the branch asEnd point isWith reference direction of power as starting pointTo the end point;
S5, establishing an optimized scheduling model of the comprehensive energy microgrid interconnection system;
the objective function of the optimization scheduling model of the comprehensive energy microgrid interconnection system is the operation cost of the minimized system, and the following formula is adopted:
in the formula (I), the compound is shown in the specification,in order to achieve the cost of gas purchase,in order to achieve the cost of electricity purchase,in order to achieve the cost of heat supply,in order to reduce the cost of operating and maintaining the energy coupling equipment,in order to reduce the cost of the energy network,punishing cost for wind and light abandonment;
in the formula (I), the compound is shown in the specification,in order to be the price of the natural gas,is as followsThe gas purchasing quantity of a natural gas plant;
in the formula (I), the compound is shown in the specification,the price of the electricity is the price of the electricity,is as followsThe electricity purchasing power of the electric power equipment is planted;
in the formula (I), the compound is shown in the specification,in order to provide the heat at a price,is as followsThermal power requirements of the seed thermal device;
in the formula (I), the compound is shown in the specification,is as followsA seed equipment maintenance cost coefficient;is as followsThe power of the energy coupling equipment comprises electric gas conversion equipment, a combined heat and power system, a gas boiler, an electric boiler and an energy router;
in the formula (I), the compound is shown in the specification,is the loss of the network of the natural gas,in order to be a loss of the network of electric power,network losses for thermal energy;
in the formula (I), the compound is shown in the specification,in order to discard the wind power,the optical power is abandoned;
the constraint conditions of the optimization scheduling model of the comprehensive energy microgrid interconnection system comprise energy coupling equipment operation constraint, comprehensive energy microgrid system operation constraint and power balance constraint;
(1) energy coupling device operational constraints
The energy coupling equipment comprises a gas turbine, a waste heat boiler, a gas boiler, electric gas conversion equipment, an electric heating boiler and energy storage equipment, and the operation constraint of the energy coupling equipment mainly comprises the following power constraint of the energy coupling equipment:
in the formula (I), the compound is shown in the specification,is as followsThe energy source-like coupling device is connected with the power supply,is as followsEnergy-like coupling deviceThe power of the time period is,in order to be the lower limit of the power,is the upper power limit;
for energy storage devices, the capacity constraint is:
in the formula (I), the compound is shown in the specification,for energy storage devices inThe amount of energy stored over a period of time,for the lower limit of the capacity of the energy storage device,is the upper limit of the capacity of the energy storage equipment;
(2) operation constraint of comprehensive energy micro-grid interconnection system
The operating constraints of the thermodynamic system are:
in the formula (I), the compound is shown in the specification,andthe lower limit and the upper limit of the temperature of the hot water for supplying water to the node are respectively,andrespectively is the lower limit and the upper limit of the temperature of the node return water hot water,andrespectively is the lower limit and the upper limit of the mass flow of the thermal power pipeline;
the operating constraints of a natural gas system are:
in the formula (I), the compound is shown in the specification,andrespectively the lower limit and the upper limit of the node pressure,andrespectively the lower limit and the upper limit of the natural gas flow of the pipeline,andthe lower limit and the upper limit of the compression ratio of the compressor are respectively;
the operating constraints of the power system are:
in the formula (I), the compound is shown in the specification,andare respectively nodesLower limit of voltageAnd an upper limit of the number of the units,is a branchUpper limit of current value of (1);
s6, solving the optimized scheduling model of the comprehensive energy microgrid interconnection system to obtain the output of the energy coupling equipment and the power of each port of the energy router, so as to obtain an optimal scheduling strategy;
referring to fig. 5, the optimized scheduling model of the integrated energy microgrid interconnection system is solved by using an improved quantum particle swarm algorithm, and the solving steps are as follows:
(1) inputting initial data; the method comprises the steps of calculating the power price, the gas price and the heat price, the network structures of a power network, a heating power network and a natural gas network, original parameters and operation constraints, and photovoltaic and wind power day-ahead predicted output data in the micro-grid;
(2) initializing a particle population according to the probability amplitude of the qubit; the system comprises electric gas conversion equipment, an electric boiler, a combined heat and power system, a gas boiler and power of each port of an energy router;
(3) solving the electricity, heat and gas comprehensive power flow in each microgrid, judging whether the optimized scheduling has a solution or not, and if not, setting a fitness function value to be infinite; otherwise, storing the solution;
(4) calculating a fitness function value;
(5) checking whether the iteration times reach an upper limit, and if so, outputting an optimal scheduling strategy; otherwise, updating the particles and returning to the step (3).
The quantum particle swarm algorithm is improved as follows:
(1) particle encoding
The improved quantum particle swarm algorithm adopts the probability amplitude of the quantum bit as the current position code of the particle, and the formula is as follows:
in the formula (I), the compound is shown in the specification,is as followsA particle position;is the solution space dimension;andare respectively the firstA particle ofCosine position and sine position corresponding to dimension, the cosine position and the sine position respectively corresponding to quantum stateAndthe probability amplitude of (c); the current positions of the particles are coded in such a way, so that one particle can simultaneously represent two states, and the convergence rate of the algorithm can be accelerated and the search accuracy of the algorithm can be improved corresponding to the positions of two solution spaces;
converting two unit space positions of particles into solution space sine positions of optimization problemAnd cosine positionThe conversion formula is as follows:
in the formula (I), the compound is shown in the specification,andare respectively quantum ofLocation (for optimization problem the firstVariables) maximum and minimum values;
(2) particle location update
Updating the preferred position with the quantum behavioral position update equation, and returningValue, thereby constituting an updated secondThe sine position and the cosine position of each particle form a new generationEncoding the current position of each particle; the position update equation is as follows:
in the formula (I), the compound is shown in the specification,the number is given to the current particle,is as followsThe number of sub-iterations is,andrespectively as the particle individual optimal position and the population global optimal position,andare all made ofThe random number of (2) is greater than,the size of the population is the number of cells,the average value of the optimal positions of all particle individuals in the population is obtained;for the contraction-expansion factor, the reduction is generally linear.
Referring to fig. 2, an integrated energy microgrid interconnection system comprises an integrated energy microgrid and an energy router, wherein the integrated energy microgrid comprises a power network, a thermal network, a natural gas network, a cogeneration system, an electric heating boiler, a gas boiler, an electric-to-gas device, electric-to-steam gas and other multi-energy loads, coupling relations among the devices are shown in fig. 4, the power network is connected with the thermal network through the electric heating boiler, the power network is connected with the natural gas network through the electric-to-gas device, the power network is connected with the natural gas network and the thermal network through the cogeneration system, the natural gas network is connected with the thermal network through the gas boiler, the cogeneration system comprises energy conversion devices such as a gas turbine and a waste heat boiler, and the integrated energy microgrids are connected with each other through the energy router; referring to fig. 3, the energy router includes an electric energy port, a thermal energy port, a gas port, an electric energy conversion power module, an energy conversion power module, and a management and control center, and the management and control center is connected to the electric energy conversion power module and the energy conversion power module, respectively. The energy router can acquire external information such as system parameters including load data, network structures and the like, has the functions of energy optimization, energy management, risk assessment, path optimization, perception protection, electrical measurement and the like, is applied to the energy internet, and can improve the conversion, transmission and utilization efficiency of energy.
The method comprises the steps of obtaining an equipment parameter aggregate, energy network structure parameters and multi-energy load data acquired in preset time duration of each energy equipment in any scheduling period of the comprehensive energy microgrid; and constructing an energy device dynamic efficiency model, an energy router energy transmission and conversion model and a multi-energy flow network steady-state power flow model, and further constructing an environment-friendly economic system operation model to obtain an optimal scheduling scheme.
The invention constructs a collaborative optimization mathematical model of a regional distributed energy Internet topological structure, equipment configuration and operation strategy, thereby improving the comprehensive energy utilization efficiency of the system. The method comprises the steps of optimizing and scheduling in the microgrid and optimizing and scheduling among the microgrids; the optimized scheduling for the interior of the microgrid comprises the output of the energy coupling equipment, so that the energy optimization for the interior of the microgrid can be ensured; the dispatching among the micro-grids comprises that the power, heat and natural gas systems of different micro-grids realize energy conversion and transmission through the energy router, so that energy complementation of different areas is realized, the operation cost of the whole interconnection system is further reduced, and the economic benefit and the environmental benefit are improved.
Claims (10)
1. A scheduling method of an integrated energy microgrid interconnection system is characterized by comprising the following steps:
s1, acquiring parameter information of the comprehensive energy microgrid interconnection system;
s2, establishing an energy coupling equipment model, wherein the energy coupling equipment model comprises a combined heat and power system model, a gas boiler model, an electric gas conversion equipment model, an electric boiler model and an energy storage equipment model, and the combined heat and power system model comprises a gas turbine model and a waste heat boiler model;
s3, establishing an energy router model;
s4, establishing a unified steady-state power flow model of the electric power, thermal power and natural gas system;
s5, establishing an optimized scheduling model of the comprehensive energy microgrid interconnection system;
and S6, solving the optimized scheduling model of the comprehensive energy microgrid interconnection system to obtain an optimal scheduling strategy.
2. The scheduling method of the integrated energy microgrid interconnection system according to claim 1, characterized in that: in step S1, the parameter information includes an energy coupling device parameter, an energy router parameter, a sub-energy system parameter inside the microgrid, interconnection topology information, economic cost information, carbon emission information, safe operation constraint information, and various microgrid load information.
3. The scheduling method of the integrated energy microgrid interconnection system according to claim 1, characterized in that:
in step S2, the gas turbine model is:
in the formula (I), the compound is shown in the specification,in order to achieve the power generation efficiency of the gas turbine,in order to achieve the waste heat recovery efficiency of the gas turbine,for the recovery of power from the exhaust waste heat of the gas turbine,is the power generated by the gas turbine,for the amount of natural gas consumed by the gas turbine during operation,is the heat value of natural gas;
the waste heat boiler model is as follows:
in the formula (I), the compound is shown in the specification,is the output power of the waste heat boiler,for the recovery of power from the exhaust waste heat of the gas turbine,the heat conversion efficiency of the waste heat boiler is obtained;
the gas boiler model is as follows:
in the formula (I), the compound is shown in the specification,is the thermal power of the gas-fired boiler,is a gas boilerThe amount of gas consumed in the time period,the heat efficiency of the gas boiler;
the electric gas conversion equipment model is as follows:
in the formula (I), the compound is shown in the specification,is the natural gas production of an electric gas-to-gas plant,in order for the electric power conversion equipment to consume electric power,in order to improve the working efficiency of the electric gas conversion equipment,in order to be the energy conversion factor,a high calorific value;
the electric boiler model is as follows:
in the formula (I), the compound is shown in the specification,for the output heating power of the electric boiler,is the input electrical power for the electrical refrigerator,the energy efficiency ratio of the electric refrigerator;
the energy storage equipment model is as follows:
in the formula (I), the compound is shown in the specification,for energy storage devices inThe amount of energy stored over a period of time,is composed ofTime period toThe time interval of the time period is,is composed ofThe power stored in the energy storage device is used for a period of time,in order to achieve the energy storage efficiency of the energy storage device,is composed ofThe power that is discharged in a time period,the energy coefficient of the energy loss or self-loss of the energy storage device to the environment,the discharging efficiency of the energy storage device is improved.
4. The scheduling method of the integrated energy microgrid interconnection system according to claim 1, characterized in that:
in step S3, the energy router model is:
in the formula (I), the compound is shown in the specification,is an input matrix of the energy router,is a translation and transmission matrix of the energy router,is the output matrix of the energy router,andare respectively the firstOutput and input of seed energy, off-diagonal elementsAs a source of energyAnd energy sourceCoefficient of conversion between, diagonal elementsIs the same energy sourceDistribution and loss factor of (2);
5. The scheduling method of the integrated energy microgrid interconnection system according to claim 1, characterized in that:
in step S4, the unified steady-state power flow model of the power, thermal and natural gas system includes:
the thermodynamic system model is as follows:
in the formula (I), the compound is shown in the specification,is a nodeThe heat source at the location supplies thermal power or the thermal load demands thermal power,the specific heat capacity of the hot water is,for flowing out of heat sources or into heat load nodesThe quality of the water flow of (a),is the output heat power of the waste heat boiler,is the output thermal power of the gas-fired boiler,is used for outputting the thermal power of the electric boiler,is the thermal power of the thermal energy port of the energy router,in order to be the thermal load power,is a nodeThe temperature at which hot water flows out of the heat source or into the heat load,is a nodeThe temperature at which the hot water flows into the heat source or out of the heat load;
the loss of thermal energy in the thermal conduit transmission is described by the drop in temperature of the water stream in the conduit:
in the formula (I), the compound is shown in the specification,、、are respectively pipelinesThe ambient temperature, the head end temperature, the tail end temperature,、、are respectively pipelinesHeat transfer coefficient, pipe length, mass flow rate;
at the junction of the pipelines, the hot water meets the law of conservation of energy, and the inflow and outflow relations at the junction of the nodes are as follows:
in the formula (I), the compound is shown in the specification,、are respectively inflow nodesThe temperature and the mass flow of the hot water at the tail end of the pipeline,、are respectively outflow nodesThe temperature and mass flow of the hot water at the beginning of the pipeline;
the natural gas system model is as follows:
in the formula (I), the compound is shown in the specification,、、、respectively is natural gas flow, pipeline characteristic parameters, natural gas flow direction variable and pressure intensity; subscript、、Respectively a pipeline head end node, a pipeline tail end node and a pipeline;
the compressor model is as follows:
in the formula (I), the compound is shown in the specification,a pressure generated for the compressor;、、respectively a compressor characteristic parameter, a compressor consumed flow and a compressor factor related parameter; subscriptIs a compressor;、、is a compressor consumption characteristic curve parameter;
nodes in the natural gas system satisfy the law of conservation of flow, namely:
in the formula (I), the compound is shown in the specification,in order to purchase the gas quantity,for connecting to nodes of distribution networkThe set of devices of (a) is,in the gas distribution networkA set of branch end nodes that are head-end nodes,in the gas distribution networkIs a set of branch head-end nodes of the end node,for flowing into end nodesThe amount of the natural gas of (a),to flow into the head-end nodeThe amount of the natural gas of (a),is composed ofTime interval gas loadThe predicted value of (a) is determined,、、are respectively asThe natural gas consumption of the gas turbine, the natural gas consumption of the gas boiler and the natural gas generation amount of the electric gas conversion equipment in a time interval;
the power system model is as follows:
in the formula (I), the compound is shown in the specification,、、are respectively nodesTo a nodeBranch circuitActive power, reactive power, current;andare respectively nodesTo a nodeBranch circuitActive power and reactive power of;andare respectively a branchResistance and reactance of (d);andare respectively nodesAnd nodeVoltage of (d);andrespectively the active power and the reactive power of the power supporting equipment in the microgrid;andrespectively the active power and the reactive power of the internal load of the microgrid;andrespectively generating active power and reactive power for the combined heat and power system;andare respectively electricityActive power and reactive power consumed by the gas transfer equipment;andrespectively the active power and the reactive power consumed by the electric boiler;indicating the starting point of the branch asEnd point is。
6. The scheduling method of the integrated energy microgrid interconnection system according to claim 1, characterized in that:
in step S5, the objective function of the integrated energy microgrid interconnection system optimization scheduling model is to minimize the operating cost of the system, as follows:
in the formula (I), the compound is shown in the specification,in order to achieve the cost of gas purchase,in order to achieve the cost of electricity purchase,in order to achieve the cost of heat supply,in order to reduce the cost of operating and maintaining the energy coupling equipment,in order to reduce the cost of the energy network,punishing cost for wind and light abandonment;
in the formula (I), the compound is shown in the specification,in order to be the price of the natural gas,is as followsThe gas purchasing quantity of a natural gas plant;
in the formula (I), the compound is shown in the specification,the price of the electricity is the price of the electricity,is as followsThe electricity purchasing power of the electric power equipment is planted;
in the formula (I), the compound is shown in the specification,in order to provide the heat at a price,is as followsThermal power requirements of the seed thermal device;
in the formula (I), the compound is shown in the specification,is as followsThe coefficient of the maintenance cost of the equipment is determined,is as followsPower of the energy source coupling device;
in the formula (I), the compound is shown in the specification,is the loss of the network of the natural gas,in order to be a loss of the network of electric power,network losses for thermal energy;
7. The scheduling method of the integrated energy microgrid interconnection system according to claim 6, characterized in that:
in the step S5, the constraint conditions of the integrated energy microgrid interconnection system optimized scheduling model include energy coupling device operation constraints, integrated energy microgrid system operation constraints and power balance constraints;
(1) energy coupling device operational constraints
The power constraints of the energy coupling device are:
in the formula (I), the compound is shown in the specification,is as followsThe energy source-like coupling device is connected with the power supply,is as followsEnergy-like coupling deviceThe power of the time period is,in order to be the lower limit of the power,is the upper power limit;
for energy storage devices, the capacity constraint is:
in the formula (I), the compound is shown in the specification,for energy storage devices inThe amount of energy stored over a period of time,for the lower limit of the capacity of the energy storage device,is the upper limit of the capacity of the energy storage equipment;
(2) operation constraint of comprehensive energy micro-grid interconnection system
The operating constraints of the thermodynamic system are:
in the formula (I), the compound is shown in the specification,andthe lower limit and the upper limit of the temperature of the hot water for supplying water to the node are respectively,andrespectively is the lower limit and the upper limit of the temperature of the node return water hot water,andrespectively is the lower limit and the upper limit of the mass flow of the thermal power pipeline;
the operating constraints of a natural gas system are:
in the formula (I), the compound is shown in the specification,andrespectively the lower limit and the upper limit of the node pressure,andrespectively the lower limit and the upper limit of the natural gas flow of the pipeline,andthe lower limit and the upper limit of the compression ratio of the compressor are respectively;
the operating constraints of the power system are:
8. The scheduling method of the integrated energy microgrid interconnection system according to claim 1, characterized in that:
in step S6, an improved quantum-behaved particle swarm optimization is used to solve the optimized scheduling model of the integrated energy microgrid interconnection system, and the solving step is:
(1) inputting initial data;
(2) initializing a particle population according to the probability amplitude of the qubit;
(3) solving the electricity, heat and gas comprehensive power flow in each microgrid, judging whether the optimized scheduling has a solution or not, and if not, setting a fitness function value to be infinite; otherwise, storing the solution;
(4) calculating a fitness function value;
(5) checking whether the iteration times reach an upper limit, and if so, outputting an optimal scheduling strategy; otherwise, updating the particles and returning to the step (3).
9. The scheduling method of the integrated energy microgrid interconnection system according to claim 8, characterized in that:
in step S6, the quantum-behaved particle swarm optimization is improved as follows:
(1) particle encoding
The improved quantum particle swarm algorithm adopts the probability amplitude of the quantum bit as the current position code of the particle, and the formula is as follows:
in the formula (I), the compound is shown in the specification,is as followsA particle position;is the solution space dimension;andare respectively the firstA particle ofThe cosine position and the sine position corresponding to the dimension are maintained;
converting two unit space positions of particles into solution space sine positions of optimization problemAnd cosine positionThe conversion formula is as follows:
in the formula (I), the compound is shown in the specification,andare respectively quantum ofMaximum and minimum values for each position;
(2) particle location update
Updating the preferred position with the quantum behavioral position update equation, and returningValue, thereby constituting an updated secondThe sine position and the cosine position of each particle form a new generationEncoding the current position of each particle; the position update equation is as follows:
in the formula (I), the compound is shown in the specification,the number is given to the current particle,is as followsThe number of sub-iterations is,andrespectively as the particle individual optimal position and the population global optimal position,andare all made ofThe random number of (2) is greater than,the size of the population is the number of cells,is the average value of the optimal positions of all particle individuals in the population,is a contraction-expansion factor.
10. An integrated energy microgrid interconnection system, characterized in that the system uses the scheduling method as claimed in any one of claims 1 to 9, the system comprises an integrated energy microgrid and an energy router, the integrated energy microgrid comprises an electric power network, a heat power network, a natural gas network, a cogeneration system, an electric boiler, a gas boiler and an electric gas conversion device, the electric power network is connected with the heat power network through the electric boiler, the electric power network is connected with the natural gas network through the electric gas conversion device, the electric power network is connected with the natural gas network and the heat power network through the cogeneration system, the natural gas network is connected with the heat power network through the gas boiler, the cogeneration system comprises a gas turbine and a waste heat boiler, the integrated energy microgrid is connected with each other through the energy router, and the energy router comprises an electric energy port, a gas outlet, and a gas outlet, The system comprises a heat energy port, a gas port, an electric energy conversion power module, an energy conversion power module and a control center, wherein the control center is respectively connected with the electric energy conversion power module and the energy conversion power module.
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