CN115082256A - Regional comprehensive energy system station network collaborative stage extension planning method and system - Google Patents
Regional comprehensive energy system station network collaborative stage extension planning method and system Download PDFInfo
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Abstract
The invention discloses a method and a system for planning station network collaborative stage extension of a regional comprehensive energy system, wherein the method comprises the following steps: acquiring multi-energy load demand data of a load point and construction resource data of an energy site, and determining a source load optimal weighted path according to an available energy network path between the load point and the energy site to form an energy network optimization alternate path matrix; for each staging construction scheme, constructing a regional comprehensive energy system station network collaborative planning model by taking the minimum cost of the full life cycle as a target and taking energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions to obtain an optimal system planning configuration scheme under each staging construction scheme; and taking the system planning configuration scheme with the minimum whole life cycle cost as a final system planning configuration scheme. The site selection, the equipment capacity configuration and the energy transmission network layout of the energy station are realized, and the overall economy of the global planning of the integrated energy source network load storage system is improved.
Description
Technical Field
The invention relates to the technical field of comprehensive energy system planning, in particular to a method and a system for planning regional comprehensive energy system station network collaborative stage extension.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The regional comprehensive energy system greatly improves the comprehensive utilization efficiency of energy and promotes the local consumption of renewable energy and sustainable development of energy by virtue of the advantages of multi-energy complementary cooperation and source-load interactive coordination. The regional integrated energy system is complex in structure and various in types, and comprises an energy station, an energy transmission network, a load user and the like. The regional comprehensive energy system is a source network load and storage integrated system, and the planning design scheme relates to the optimization and site selection of an energy station, the optimization of energy station equipment configuration, the optimization of energy transmission network layout configuration and the like, wherein the three problems are mutually influenced and closely related.
The existing research and planning methods have the following problems when solving the problem of comprehensive energy system planning:
1) energy station site selection, energy station equipment configuration and energy transmission network layout are treated as three relative splitting problems, and partial design links depend on engineering experience comparison and selection, so that a design scheme deviates from a source network load storage global optimum point, and the energy efficiency and the economy of a system are influenced.
2) The construction time sequence of the comprehensive energy system is synchronously implemented by combining regional development and load increase, most of the existing methods focus on one-time construction planning, equipment redundancy in the early stage of operation and equipment aging in the later stage are easily caused, and the maximum benefit of the equipment cannot be brought into play; most of the existing extension planning methods only consider one or more devices such as an energy storage device and a gas turbine set, and the application scenarios are limited.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for planning the station-network collaborative stage extension of a regional comprehensive energy system, which realize site selection of energy stations, equipment capacity configuration and energy transmission network layout, realize joint optimization planning stage by stage and improve the overall economy of the global planning of a comprehensive energy source-network load-storage integrated system.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for planning station-network collaborative extension by stages of a regional integrated energy system, including:
acquiring multi-energy load demand data of a load point and construction resource data of an energy site, and determining a source load optimal weighted path according to an available energy network path between the load point and the energy site to form an energy network optimization alternate path matrix;
determining energy site stage planning constraints according to construction resource data of the energy sites, and determining energy transmission network stage planning constraints according to an energy network optimization alternative path matrix;
determining a staging construction scheme set of the regional integrated energy system, and constructing a regional integrated energy system station network collaborative planning model for each staging construction scheme by taking the minimum total life cycle cost as an optimization target and taking energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions to obtain an optimal system planning configuration scheme under each staging construction scheme;
and traversing the staged construction scheme set, and taking the system planning configuration scheme with the minimum full life cycle cost as the system planning configuration scheme of the regional comprehensive energy system.
As an alternative embodiment, the process of forming the energy grid optimized alternative routing matrix includes:
constructing an energy network undirected graph according to available energy network paths and intermediate nodes, and weighting each edge of the energy network undirected graph according to the actual physical distance between any adjacent nodes and the construction difficulty coefficient of the comprehensive energy supply pipe network;
determining an optimal source load weighting path from an energy site to a load point, and traversing all combinations of the energy site and the load point to form an optimal source load weighting path set;
and deleting all edges which do not pass through the source load optimal weighting path in the energy network undirected graph to obtain a new energy network undirected graph, wherein an adjacent matrix of the new energy network undirected graph is an energy network optimized alternative path matrix.
As an alternative embodiment, determining a deployable equipment type library of an energy site according to construction resource data of each energy site to construct energy site staging planning constraints, wherein the energy site staging planning constraints comprise energy site staging planning constraints of equipment investment constraints, equipment operation constraints, in-site networks and energy balance constraints;
the equipment operation constraints comprise gas cogeneration unit operation constraints, gas boiler operation constraints, absorption refrigerator operation constraints, electric boiler operation constraints, electric refrigerator operation constraints, heat pump operation constraints, photovoltaic, wind power and solar hot water heat collection device operation constraints and multi-element energy storage equipment operation constraints;
the in-station network and energy balance constraints include cold thermal electric power balance constraints and process flow network constraints.
As an alternative embodiment, the energy delivery network staging constraints include power network construction and delivery constraints, cold and hot water delivery network construction and delivery constraints in the energy network, gas delivery network construction and delivery constraints, and power balance constraints in the energy network.
As an alternative embodiment, the full lifecycle cost includes the construction cost and the operation and maintenance cost of the energy station and the energy delivery network.
As an alternative embodiment, an optimal system planning configuration scheme under each staging construction scheme is obtained according to the regional integrated energy system station network collaborative planning model, and the specific process includes:
decomposing a regional comprehensive energy system station network collaborative planning model into an outer layer configuration optimization problem and an inner layer operation optimization problem, wherein the outer layer configuration optimization problem takes the minimum cost of a full life cycle as an optimization target, and decision variables are equipment capacity configuration of each energy station and the construction capacity of each pipeline section in a pipe network; the inner-layer operation optimization problems comprise N operation optimization problems corresponding to the 1 st year to the Nth year under a given system planning configuration scheme, and the operation and maintenance cost of the corresponding year is taken as the minimum optimization target.
As an alternative embodiment, the system planning configuration scheme includes site selection of energy sites, equipment capacity configuration and energy transmission network layout.
In a second aspect, the present invention provides a system for planning station-network coordinated extension by stages of a regional integrated energy system, including:
the data acquisition and processing module is configured to acquire the multi-energy load demand data of the load point and the construction resource data of the energy site, and determine an optimal source load weighting path according to an available energy network path between the load point and the energy site so as to form an energy network optimized alternative path matrix;
the constraint construction module is configured to determine energy site stage planning constraints according to construction resource data of the energy sites and determine energy transmission network stage planning constraints according to the energy network optimization alternative path matrix;
the staging plan determining module is configured to determine a staging construction scheme set of the regional comprehensive energy system, and for each staging construction scheme, a regional comprehensive energy system station network collaborative planning model is constructed by taking the minimum total life cycle cost as an optimization target and taking energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions to obtain an optimal system planning configuration scheme under each staging construction scheme;
and the system planning determination module is configured to traverse the staging construction scheme set and take the system planning configuration scheme with the minimum full life cycle cost as the system planning configuration scheme of the regional integrated energy system.
In a third aspect, the present invention provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method of the first aspect is performed.
In a fourth aspect, the present invention provides a computer readable storage medium for storing computer instructions which, when executed by a processor, perform the method of the first aspect.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a method and a system for planning the cooperative extension of a regional integrated energy system by stages of a station network, and the obtained system planning configuration scheme realizes the site selection of energy stations in the regional integrated energy system, the equipment configuration and the energy transmission network layout, realizes the joint optimization planning by stages, improves the overall economy of the global planning of the integrated energy source network load storage system, and realizes the multi-energy cooperative high-efficiency operation.
The invention provides a method and a system for planning the cooperative extension of a regional integrated energy system by stages, which consider the combination configuration of various energy conversion and storage devices commonly used by the integrated energy system and the actual factors such as the transmission loss of an energy transmission network, and the like.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic diagram of a regional integrated energy system station-network collaborative stage extension planning method provided in embodiment 1 of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1
The embodiment provides a regional comprehensive energy system station network collaborative stage extension planning method, which is oriented to regional multiple users and can effectively realize regional comprehensive energy system 'source network charge storage' integrated stage extension planning and equipment capacity optimal configuration. As shown in fig. 1, includes:
acquiring multi-energy load demand data of a load point and construction resource data of an energy site, and determining a source load optimal weighted path according to an available energy network path between the load point and the energy site to form an energy network optimization alternate path matrix;
determining energy site stage planning constraints according to construction resource data of the energy sites, and determining energy transmission network stage planning constraints according to an energy network optimization alternative path matrix;
determining a staging construction scheme set of the regional integrated energy system, and constructing a regional integrated energy system station network collaborative planning model for each staging construction scheme by taking the minimum total life cycle cost as an optimization target and taking energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions to obtain an optimal system planning configuration scheme under each staging construction scheme;
and traversing the staged construction scheme set, and taking the system planning configuration scheme with the minimum full life cycle cost as the system planning configuration scheme of the regional comprehensive energy system.
The system planning configuration scheme comprises site selection of energy sites, equipment configuration and energy transmission network layout.
In the embodiment, the position of each load point, the annual multi-energy load demand, the position of each energy site and construction resource data are obtained;
the yearly multipotent load demand data of each load point comprises the following data: the hourly load demand data of cold, heat and electricity of each season typical day of each year in each load point planning cycle;
the construction resource data of each energy site comprises: the building capacity of various devices such as a gas combined cooling heating power unit, a gas boiler, an electric refrigerating unit, a heat pump, distributed photovoltaic, distributed wind power, multi-element energy storage equipment and the like at each energy site is bound, and wind and light resource data are obtained.
In the embodiment, according to available energy network paths between the load points and the energy sites, a Dijkstra algorithm is adopted to determine source load optimal weighted paths from each energy site to each load point so as to form an energy network optimal alternative path matrix; specifically, the method comprises the following steps:
(1) constructing an energy network undirected graph G according to available energy network paths and intermediate nodes, and according to the actual physical distance d between any adjacent nodes i, j ij And the construction difficulty coefficient omega of the comprehensive energy supply pipe network ij Weighting each edge of the energy network undirected graph G by omega ij d ij ；
(2) Determining energy sites by Dijkstra algorithm
To the point of load
Traversing all the energy source sites and the combination of the load points to form a source load optimal weighted path set;
(3) deleting all edges which do not pass through the source load optimal weighting path in the energy network undirected graph G to obtain a new energy network undirected graph
And the adjacency matrix is an energy network optimization alternative path matrix L.
In this embodiment, a staging construction scheme set of the regional integrated energy system is determined, and for each staging construction scheme, a regional integrated energy system station network collaborative planning model is constructed with the minimum total life cycle cost as an optimization target and with energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions; wherein each staging construction scheme corresponds to a construction period number M and a production year N m 。
In this embodiment, the energy site staging plan constraint is determined according to the construction resource data of the energy sites, a deployable equipment type library of the energy sites is determined according to the construction resource data of each energy site, and the energy site staging plan constraint including an equipment investment constraint, an equipment operation constraint, an intra-site network constraint and an energy balance constraint is constructed;
specifically, the method comprises the following steps:
(1) the equipment investment constraint is as follows:
in the formula, X k,l,m For the projected capacity of the kth energy site equipment/in the mth phase,
the maximum installed capacity (kW) of the kth energy site equipment/is limited by objective conditions, such as liquidity, floor space, etc.
(2) The equipment operation constraints comprise gas cogeneration unit (CHP) operation constraints, Gas Boiler (GB) operation constraints, Absorption Chiller (AC) operation constraints, Electric Boiler (EB) operation constraints, Electric Chiller (EC) operation constraints, Heat Pump (HP) operation constraints, Photovoltaic (PV), wind power (WT) and solar hot water heat collection devices (SH) operation constraints and multi-energy storage equipment operation constraints;
wherein the content of the first and second substances,
1) gas cogeneration unit (CHP) operating constraints:
in the formula (I), the compound is shown in the specification,
and
the electricity and heat output power (kW) of the CHP unit at the kth energy site in the nth year t period;
and
the power generation efficiency and the heating efficiency of the CHP unit are respectively; v k,CHP,n,t Natural gas consumption (m) of CHP plant for kth energy site at time t of year n 3 /s)；q G Is the low calorific value (kJ/m) of natural gas 3 )；M n The number of production sessions to the nth year; and m is 0, which corresponds to that the equipment is put into operation in the area during system planning, and if not, m is 1.
2) Gas Boiler (GB) operation constraints:
in the formula (I), the compound is shown in the specification,
output thermal power (kW) for the gas boiler of the kth energy site for the nth year t period; v k,GB,n,t For corresponding natural gas consumption (m) of the gas boiler 3 /s)；η GB The heating efficiency of the gas boiler is improved.
3) Absorption Chiller (AC) operating constraints:
in the formula (I), the compound is shown in the specification,
and
respectively representing the output of the absorption refrigerator of the k energy station in the t period of the n yearCold output power and heat input power (kW); COP AC Is the energy efficiency ratio of the absorption chiller.
4) Electric Boiler (EB) operation constraints:
in the formula (I), the compound is shown in the specification,
and P k,EB,n,t The output thermal power (kW) and the consumed electrical power (kW) of the electrical boiler of the kth energy site, respectively, during the nth year t period; eta EB The heating efficiency of the electric boiler is improved.
5) Electric refrigerator (EC) operation constraints:
in the formula (I), the compound is shown in the specification,
and P k,EC,n,t The refrigeration output power (kW) and the power consumption power (kW) of the electric refrigerator of the kth energy site in the nth year t period are respectively; COP EC Is the energy efficiency ratio of the electric refrigerator.
6) Heat Pump (HP) operating constraints:
the mathematical expression of the output power and the input power of the heat pump is as follows, and the air source heat pump, the water source heat pump and the ground source heat pump are all applicable:
in the formula (I), the compound is shown in the specification,
and
actual input power (kW) of heat supply and cold supply of a heat pump unit of a kth energy station in the nth year t period respectively; q h k,HP,n,t And Q c k,HP,n,t Actual heating and refrigerating capacity (kW) of the heat pump unit;
the heat pump unit actually heats and refrigerates COP; kappa type HP The ratio of the rated refrigerating capacity and the rated heating capacity of the heat pump.
Because the heat pump has two operation modes of heating and cooling, but can only work in one operation mode in the same time period, so the following requirements are met:
in the formula (I), the compound is shown in the specification,
and
is a 0/1 variable representing the mode of operation of the heat pump at any one time;
is a maximum number.
7) Photovoltaic (PV), wind power (WT) and solar hot water heat collection (SH) operational constraints:
in the formula eta k,l,n,t The electric power output or the thermal power output (kW) of the photovoltaic, wind power or solar hot water heat collection device with unit capacity of the kth energy site in the t time period of the nth year.
8) Operation restraint of the multi-element energy storage equipment:
in the formula, S k,l,n,t The energy storage device IS the energy storage (kWh) of the energy storage device l of the kth energy station at the end of the t time period of the nth year, wherein l IS the energy storage device belonging to { ES, WS, IS, PS }, and can be a storage battery, a water storage tank, an ice storage tank or a phase change heat storage device and the like; delta l Is the energy dissipation coefficient of the energy storage device l;
and
energy storage power and energy release power (kW) of the energy storage equipment l are respectively obtained;
and
respectively representing the energy storage efficiency and the energy release efficiency of the energy storage equipment l;
a variable 0/1, indicating the energy storage and release state of the energy storage device l; kappa l The energy storage and release multiplying power of the energy storage equipment l;
andπ l respectively are the upper and lower limit coefficients of the charge energy state of the energy storage device l.
(3) The in-station network and energy balance constraints comprise cold, hot, electric and power balance constraints and process flow network constraints;
wherein the content of the first and second substances,
1) cold-hot electric power balance constraint:
in the formula, omega e+ ,Ω e- Respectively, a power generation and consumption device set; omega h+ ,Ω c+ Respectively a heat production device and a cold production device; omega g- Is a gas consumption equipment set; omega hs ,Ω cs Respectively, a heat storage and a cold storage device.
And
the purchased electric power and purchased gas quantity of the kth energy station in the t period of the nth year;
and
and respectively supplying external power, hot power, cold power and gas corresponding power for the kth energy site in the nth year t period.
2) Process flow network constraints:
in the embodiment, the energy transmission network stage planning constraint is determined according to the source load topological characteristic of the integrated regional integrated energy system and the energy network optimization alternative path matrix L; let n be i The ith node in the energy network; gamma-shaped j Is a node n i I.e. n with an element 1 in the j-th column of the matrix L i A set of (a);
the energy transmission network stage planning constraint comprises the following steps: the method comprises the following steps of power network construction and transmission constraint, cold and hot water transmission network construction and transmission constraint in an energy network, gas transmission network construction and transmission constraint and energy network power balance constraint;
specifically, considering the flow direction and loss of network transmission, the power network construction and transmission among nodes need to satisfy the following constraints:
in the formula (I), the compound is shown in the specification,
and
are respectively a node n i Flow direction node n j At n i Side output power sum n j Side input power;
is a node n i To node n j A power transmission loss rate;
is a variable of 0-1, when there is power flow in the power pipeline and its flow direction is from node n i To node n j The value is 1, otherwise, the value is 0; beta is a ij,m To characterize the m-th slave node n i To node n j The energy transmission pipeline is not built, wherein 1 represents the building, and 0 represents the non-building;
for m period slave node n i To node n j The power line capacity of (a).
The construction and transmission constraints of the cold and hot water transmission network and the gas transmission network in the energy network are the same as those of the power network, and are not described again here.
Make energy station node set omega S The road node assembly is omega r The load node set is omega L The power balance constraint of the whole energy network is as follows:
in the formula: k is a radical of j For a network node n j The corresponding energy station numbers;
and
are respectively a load node n j Electricity, heat, cold power and gas power required during the nth year t period;
and
the maximum active power, the thermal power and the natural gas power which can be provided by the energy station nodes are respectively.
If the cold and hot supplies share one set of pipe network system, the following requirements are also met:
in the formula (I), the compound is shown in the specification,
and
respectively, represent slave nodes n i To node n j The heat supply and cold supply modes of the water transmission pipeline are 0-1 variable;
the power is comprehensively transmitted for the cold and the heat of the water transmission pipeline.
In this embodiment, the optimization objective with the minimum full life cycle cost is:
in the formula (I), the compound is shown in the specification,
and
the construction cost current values of the energy station and the energy transmission network are respectively;
and
the current operation and maintenance costs of the energy station and the energy transmission network are respectively.
Wherein, according to the construction time sequence planned by stages, the current value of the construction cost is as follows:
in the formula, N is a planning period; gamma is the conversion rate; m represents the mth planned construction period; n is a radical of m Represents the year of the m-th planned construction period, where it is considered that the investment cost per period is generated at the beginning of the year of the project; II type k A set of commissionable devices for the kth energy site; c. C l Investment cost per unit volume of equipment;
in N m Residual value rate of equipment built in the year from the end of the Nth year; omega is an energy network node set;
to be a slave node n i To node n j The cost of the integrated energy network construction cost is a part of the cost independent of the construction capacity,
and
to be a slave node n i To node n j The construction cost of the unit capacity electric power network, the construction cost of the unit capacity water transmission pipeline and the construction cost of the unit capacity gas pipeline are related to the construction capacity in the construction cost of the comprehensive energy network.
The current value of the operation and maintenance cost is as follows:
wherein n represents the nth year; d n A typical day set for year n; z is a radical of d Equivalent days representing typical days d;
respectively the outsourcing electricity price and the gas price in the time period t;
outputting a corresponding maintenance cost coefficient for the unit power of the equipment l;
and
are respectively slave nodes n in the integrated energy network i To node n j And the power line, the water delivery pipeline and the gas pipeline of the section transmit corresponding operation and maintenance cost coefficients in unit power. It is easy to see that the total current value of the operation and maintenance cost is the accumulation of the current values of the operation and maintenance cost of each year.
In this embodiment, since the regional integrated energy system station network collaborative planning model is a mixed integer linear planning model, the embodiment calls a CPLEX or a GUROBI solver to solve by a branch-and-bound method to obtain an optimal system planning configuration scheme under each staging construction scheme;
when the model is large in scale, the model can be decomposed and iteratively solved according to two sub-problems of configuration optimization and operation optimization by adopting a generalized Benders decomposition or a hierarchical solving method based on an intelligent algorithm, so that the calculation efficiency is improved.
In this embodiment, steps of a hierarchical solution method based on an intelligent algorithm are given: firstly, decomposing the model into an outer layer configuration optimization problem and an inner layer operation optimization problem, wherein the optimization target of the outer layer configuration optimization problem is that the current value of the cost of the whole life cycle is minimum, and a decision variable is the capacity configuration of each energy station device in each period and the commissioning capacity of each section of pipeline in a pipe network; the inner-layer operation optimization problems comprise N, the number of the inner-layer operation optimization problems corresponds to the operation optimization problems from the 1 st year to the Nth year under a given configuration scheme, and the optimization target is that the current value of the operation and maintenance cost of the corresponding year is the minimum.
The solving steps are as follows:
(1) and initializing the population. Each population individual represents the capacity configuration of each energy station device in each period and the construction capacity of each pipeline in the pipe network.
(2) Substituting the population individuals into each inner layer operation optimization problem, and calling a CPLEX or GUROBI solver to solve to obtain an annual operation scheme and a corresponding operation and maintenance cost current value.
(3) Substituting the current annual operation and maintenance cost values obtained in the step (2) into an outer-layer configuration optimization problem objective function, calculating the current full life cycle cost value of each population individual, sequencing the current full life cycle cost values from small to large, and updating and recording the individual with the minimum current full life cycle cost value as an optimal individual;
(4) selection, crossover, and mutation produce progeny populations.
(5) And judging a termination condition. And (5) if the termination condition is met, outputting a system planning configuration scheme corresponding to the optimal individual, otherwise, returning to the step (2).
And traversing the staged construction scheme set, solving the corresponding optimal system planning configuration scheme, and taking the system planning configuration scheme with the minimum cost in the whole life cycle as the final recommended planning scheme.
Example 2
The embodiment provides a regional integrated energy system station network collaborative stage extension planning system, which includes:
the data acquisition and processing module is configured to acquire the multi-energy load demand data of the load point and the construction resource data of the energy site, and determine an optimal source load weighting path according to an available energy network path between the load point and the energy site so as to form an energy network optimized alternative path matrix;
the constraint construction module is configured to determine energy site stage planning constraints according to construction resource data of the energy sites and determine energy transmission network stage planning constraints according to the energy network optimization alternative path matrix;
the staging plan determining module is configured to determine a staging construction scheme set of the regional comprehensive energy system, and for each staging construction scheme, a regional comprehensive energy system station network collaborative planning model is constructed by taking the minimum total life cycle cost as an optimization target and taking energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions to obtain an optimal system planning configuration scheme under each staging construction scheme;
and the system planning determination module is configured to traverse the staging construction scheme set and take the system planning configuration scheme with the minimum full life cycle cost as the system planning configuration scheme of the regional integrated energy system.
It should be noted that the modules correspond to the steps described in embodiment 1, and the modules are the same as the corresponding steps in the implementation examples and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer executable instructions.
In further embodiments, there is also provided:
an electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method of embodiment 1. For brevity, no further description is provided herein.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the method described in embodiment 1.
The method in embodiment 1 may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and combines hardware thereof to complete the steps of the method. To avoid repetition, it is not described in detail here.
Those of ordinary skill in the art will appreciate that the various illustrative elements, i.e., algorithm steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A regional integrated energy system station network collaborative stage extension planning method is characterized by comprising the following steps:
acquiring multi-energy load demand data of a load point and construction resource data of an energy site, and determining a source load optimal weighted path according to an available energy network path between the load point and the energy site to form an energy network optimization alternate path matrix;
determining energy site stage planning constraints according to construction resource data of the energy sites, and determining energy transmission network stage planning constraints according to an energy network optimization alternative path matrix;
determining a staging construction scheme set of the regional integrated energy system, and constructing a regional integrated energy system station network collaborative planning model for each staging construction scheme by taking the minimum total life cycle cost as an optimization target and taking energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions to obtain an optimal system planning configuration scheme under each staging construction scheme;
and traversing the staged construction scheme set, and taking the system planning configuration scheme with the minimum full life cycle cost as the system planning configuration scheme of the regional comprehensive energy system.
2. The method according to claim 1, wherein the step of forming the energy grid optimized alternative routing matrix comprises:
constructing an energy network undirected graph according to available energy network paths and intermediate nodes, and weighting each edge of the energy network undirected graph according to the actual physical distance between any adjacent nodes and the construction difficulty coefficient of the comprehensive energy supply pipe network;
determining an optimal source load weighting path from an energy site to a load point, and traversing all combinations of the energy site and the load point to form an optimal source load weighting path set;
and deleting all edges which do not pass through the source load optimal weighting path in the energy network undirected graph to obtain a new energy network undirected graph, wherein an adjacent matrix of the new energy network undirected graph is an energy network optimized alternative path matrix.
3. The method according to claim 1, wherein a deployable equipment type library of the energy site is determined according to the construction resource data of each energy site to construct energy site staging planning constraints, wherein the energy site staging planning constraints include energy site staging planning constraints including equipment investment constraints, equipment operation constraints, intra-site networks and energy balance constraints;
the equipment operation constraints comprise gas cogeneration unit operation constraints, gas boiler operation constraints, absorption refrigerator operation constraints, electric boiler operation constraints, electric refrigerator operation constraints, heat pump operation constraints, photovoltaic, wind power and solar hot water heat collection device operation constraints and multi-element energy storage equipment operation constraints;
the in-station network and energy balance constraints include cold thermal electric power balance constraints and process flow network constraints.
4. The method according to claim 1, wherein the energy delivery network planning constraints include power network construction and delivery constraints, cold and hot water delivery network construction and delivery constraints in the energy network, gas delivery network construction and delivery constraints, and power balance constraints in the energy network.
5. The method for planning the coordinated extension of the regional integrated energy system and the grid according to claim 1, wherein the full life cycle cost includes construction cost and operation and maintenance cost of the energy station and the energy transmission network.
6. The method for planning the collaborative extension of the regional integrated energy system according to claim 1, wherein the optimal system planning configuration scheme under each staging construction scheme is obtained according to the regional integrated energy system station network collaborative planning model, and the specific process includes:
decomposing a regional comprehensive energy system station network collaborative planning model into an outer layer configuration optimization problem and an inner layer operation optimization problem, wherein the outer layer configuration optimization problem takes the minimum cost of the full life cycle as an optimization target, and decision variables are the equipment capacity configuration of each energy station and the construction capacity of each pipeline section in a pipe network; the inner-layer operation optimization problems comprise N operation optimization problems corresponding to the 1 st year to the Nth year under a given system planning configuration scheme, and the operation and maintenance cost of the corresponding year is taken as the minimum optimization target.
7. The method according to claim 1, wherein the system planning and configuration scheme includes site selection of energy sites, equipment capacity configuration, and energy delivery network layout.
8. A regional integrated energy system station network collaborative stage extension planning system is characterized by comprising:
the data acquisition and processing module is configured to acquire the multi-energy load demand data of the load point and the construction resource data of the energy site, and determine an optimal source load weighting path according to an available energy network path between the load point and the energy site so as to form an energy network optimized alternative path matrix;
the constraint construction module is configured to determine energy site stage planning constraints according to construction resource data of the energy sites and determine energy transmission network stage planning constraints according to the energy network optimization alternative path matrix;
the staging plan determining module is configured to determine a staging construction scheme set of the regional comprehensive energy system, and for each staging construction scheme, a regional comprehensive energy system station network collaborative planning model is constructed by taking the minimum total life cycle cost as an optimization target and taking energy site staging planning constraints and energy transmission network staging planning constraints as constraint conditions to obtain an optimal system planning configuration scheme under each staging construction scheme;
and the system planning determination module is configured to traverse the staging construction scheme set and take the system planning configuration scheme with the minimum full life cycle cost as the system planning configuration scheme of the regional integrated energy system.
9. An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method of any of claims 1-7.
10. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform the method of any one of claims 1 to 7.
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