CN112580994A - Park comprehensive energy system planning method with distributed energy access - Google Patents
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Abstract
The invention provides a method for planning a park comprehensive energy system with distributed energy access, which comprises the following steps: energy equipment and the configuration and location of the supplied energy. The method comprises the following steps: firstly, acquiring park basic information; then, performing preliminary planning on energy equipment and an energy supply access point according to the acquired parameters, and establishing a park energy hub model; and finally, establishing a planning method of the park integrated energy system with distributed energy access by taking the optimal economy of the park integrated energy system as a target and considering constraint conditions such as system balance, equipment capacity, site selection factors and the like.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy system planning, and particularly relates to a park comprehensive energy system planning method with distributed energy access.
Background
Energy sources drive the historical development and are the important material basis for the development of the economic society. Compared with other fossil energy, natural gas is more suitable for future energy development, and pollutants and carbon emission are lower, so that the natural gas is helpful for solving increasingly severe environmental problems. Natural gas and distributed energy sources bring new changes to the environmental crisis. However, in addition to environmental pollution, energy resources are exhausted, and people have to pay attention and deep thinking due to too fast energy consumption. The energy utilization rate determines the energy consumption rate to a great extent.
In the future energy pattern form, electric energy is used as a transmission carrier, various renewable energy sources are used as main forms, regional or even trans-regional comprehensive energy systems are constructed, and an integrated system is formed after the optimization of links such as energy generation, transmission, distribution, conversion, storage and consumption.
The integrated energy system is built on the coupling between multiple energy sources, wherein the coupling relationship is represented on energy conversion equipment, such as a cogeneration device (gas → electricity + heat), an electric gas conversion device (electricity → gas), an electric refrigerator (electricity → cold), and the like. At present, the consideration of actual geographic environment factors is lacked in the planning of a comprehensive energy system of a park, and in a planning method based on an energy hub, only equipment is optimized without the problem of site selection of the equipment, but the lacked factors cannot be ignored. Under the above background, there is an urgent need for a method for planning a park integrated energy system with distributed energy access.
Disclosure of Invention
The invention aims to provide a park comprehensive energy system planning method with distributed energy access, which is used for solving the problem of energy distribution under the condition of insufficient energy resources and improving the energy utilization rate.
A park comprehensive energy system planning method with distributed energy access comprises the following steps:
acquiring park basic information including load type and size distribution, existing construction and environmental conditions; determining the type of the equipment to be selected and obtaining relevant parameters thereof, wherein the relevant parameters comprise the capacity size, the energy conversion rate, the investment cost, the operation and maintenance cost and the like of each fixed model equipment, and the equipment comprises CHP, HP, AB, WARG, CERG, ES, WT, PV and the like.
The quantitative model represents n degrees from good to bad by 1-n respectively; taking the product of the logarithmic function lnx and the unit price of the operation and maintenance cost as a penalty function, and attributing the penalty function to the operation and maintenance cost, wherein the parameter x is the numerical degree corresponding to the non-numerical information; for example, if n is 5, 1 to 5 indicate 5 levels of good, normal, poor, and bad, respectively, and when x is 1, lnx is 0, and no penalty is required.
Primarily planning energy equipment and positions to be selected for supplying energy according to the acquired digital information, and establishing a park energy hub model; the energy hub comprises one or more same devices, the devices can be placed at different positions, the devices at each position and a load point form a feasible pipeline, and the site selection result of the devices is represented by the selection state of the pipeline.
And establishing a planning method of the park comprehensive energy system with distributed energy access, wherein the optimal economic performance of the park comprehensive energy system is taken as a target, the system balance, equipment capacity and site selection factors are taken as constraints, and the MATLAB is utilized to solve the model, so that the optimal configuration and site selection of energy equipment and supplied energy are realized.
The invention has the beneficial effects that:
(1) the invention provides a park comprehensive energy system planning method, which fully considers technical factors and environmental factors, converts the energy utilization rate, the site selection environment conditions of benefit and disadvantage and the like into economic equivalent cost, and can simultaneously achieve the purposes of optimal economy and highest energy utilization rate.
(2) When the advantages and disadvantages of the site selection environment are considered, a quantitative model and a penalty function are introduced, so that parameters of the corresponding environment and additional operation and maintenance cost are obtained, and the planned method is more in line with the requirements of the park.
Drawings
The technical solution of the present invention is further described in detail by the accompanying drawings.
Figure 1 is a flow chart of a method for the planning of a campus integrated energy system with distributed energy access in accordance with the present invention.
Detailed Description
Firstly, acquiring park basic information including load type and size distribution, existing construction and environmental conditions; determining the type of equipment to be selected and acquiring relevant parameters of the equipment to be selected, wherein the relevant parameters comprise the capacity of each fixed type of equipment, the energy conversion rate, the investment cost, the operation and maintenance cost and the like;
secondly, after the acquired non-digital information is converted into digital information through a quantization model, initially planning equipment and positions to be selected for supplying energy, and establishing a park energy hub model; the energy hub comprises one or more same devices, the devices can be placed at different positions, the devices at each position and a load point form a feasible pipeline, and the site selection result of the devices is represented by the selection state of the pipeline;
finally, a planning method of the park comprehensive energy system with distributed energy access is established, wherein the park comprehensive energy system with optimal economy is taken as a target, and system balance, equipment capacity and site selection factors are taken as constraint conditions;
the minimum total cost of the park integrated energy system is an objective function CΣIt can be expressed as:
minCΣ＝C1+C2+C3+C4 (4)
wherein the investment cost C1Pipeline construction cost C2And operating maintenance cost C3And cost of electricity and natural gas C4The expression is as follows:
Ck′＝(1+lnx)×Ck (9)
in the formula, CfFor unit investment costs of various types of equipment, CtFor unit investment costs of the respective pipelines, CkFor unit operating maintenance costs of various types of equipment, Ck' maintenance cost for operation of each type of equipment after correction, CmFor the rated capacity of each type of equipment, K is the equal annual conversion rate of each type of equipment, tubength is the length of each branch, and K1Number of candidate locations for all devices in the park, K11Number of candidate positions for devices other than energy storage devices, K12Number of candidate positions for energy storage device, K2Number of available branches for park, K3Energy type quantity, T park operation period, length1 is 0-1 variable of each branch, SOC0The initial state of charge of the energy storage device is represented by price, wherein the price is the purchase price of electricity and natural gas in each period, N is the number of each device, C is the actual capacity of all devices except the energy storage device, S is the actual capacity of the energy storage device, and P is the output quantity of the energy supply side of the park;
the constraint conditions comprise system balance constraint, equipment capacity constraint, address selection constraint and the like;
the system balance constraints are as follows:
P＝W1V (10)
L＝W2V (11)
HAV＝0 (12)
HAV＝ΔS (13)
L≥Pload (14)
in the formula, W1For inputting a connection matrix, W2For the output connection matrix, H is the energy conversion rate of each type of equipment, A is the node correlation matrix of the park energy hub, PloadThe actual load of the garden demand side is shown, V is the energy flow of the feasible branch in the garden, and L is the input quantity of the garden demand side;
the equipment capacity constraints are as follows:
0≤C(i,t)≤Cm(i)×N(i) (15)
S(0)＝S(T) (18)
in the formula I1Is the output set of the device, J1The time 0 is the initial time of charging and discharging the energy storage device, the time T is the end time of charging and discharging the energy storage device, P is the load setcha,tCharging power at time t, Pdis,tDischarge power at time t;
the site selection constraint is as follows:
wherein I is an output set, including a device output set I1Park energy supply output set I2J is an input set including a load set J1And device input set J2M is taken from the large M method and is a large number.
The park comprehensive energy system planning method provided by the invention takes distributed energy, electricity and natural gas as main supply energy and energy conversion equipment and connection thereof as an energy hub main body, takes the practical engineering constraints into consideration, and can quickly and effectively realize the optimal configuration and site selection of the energy equipment and the distributed energy.
Claims (3)
1. A method for planning a park integrated energy system with distributed energy access is characterized by comprising the following steps:
(1) acquiring park basic information including load type and size distribution, existing construction and environmental conditions; determining the type of equipment to be selected and acquiring relevant parameters of the equipment to be selected, wherein the relevant parameters comprise the capacity of each fixed type of equipment, the energy conversion rate, the investment cost, the operation and maintenance cost and the like;
(2) converting the non-digital information in the step (1) into digital information through a quantization model, preliminarily planning energy equipment and positions to be selected for supplying energy according to the acquired digital information, and establishing a park energy hub model;
(3) and establishing a planning method of the park comprehensive energy system with distributed energy access, wherein the optimal economy of the park comprehensive energy system is taken as a target, the system balance, equipment capacity and site selection factors are taken as constraints, and the MATLAB is utilized to solve the model so as to realize the optimal configuration and site selection of equipment and supplied energy.
2. The method for planning the integrated energy system for a park with distributed energy access according to claim 1, wherein the step (2) comprises the steps of:
(201) converting non-digital information such as existing construction and environmental conditions in the step (1) into digital information, and respectively representing n degrees from good to bad by using 1-n; taking the product of the logarithmic function lnx and the unit price of the operation and maintenance cost as a penalty function, and attributing the penalty function to the operation and maintenance cost, wherein the parameter x is the numerical degree corresponding to the non-numerical information;
Ck′＝(1+lnx)×Ck (1)
in the formula, CkFor unit operating maintenance costs of various types of equipment, Ck' the corrected operation and maintenance cost of each type of equipment;
(202) the energy hub comprises one or more same devices, the devices can be placed at different positions, the devices at each position and a load point form a feasible pipeline, and the site selection result of the devices is represented by the selection state of the pipeline.
3. The method for planning the integrated energy system for a park with distributed energy access according to claim 1, wherein the step (3) comprises the steps of:
(301) objective function is total cost C of park integrated energy systemΣThe method comprises the following steps: investment cost of equipment C1Pipeline construction cost C2And running maintenance cost C3And cost of electricity and natural gas C4Etc., i.e., min CΣ＝C1+C2+C3+C4；
(302) Besides the limitations of rated capacity and charge-discharge power, the device capacity constraint also considers the relationship between the energy flow in the branch and the device capacity, as follows:
where V is the energy flow of the feasible branch in the park, C is the actual capacity of all equipment except the energy storage device, and I1Is the output set of the device, J1Is a load set;
(303) the site selection constraint is as follows:
where length1 is the 0-1 variable for each branch, M is taken from the large M method and is a large number, and I is the output set, including the equipment output set I1Park energy supply output set I2J is an input set including a load set J1And device input set J2。
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