CN107665377A - A kind of multiple source-coupled integrated energy system planing method - Google Patents

A kind of multiple source-coupled integrated energy system planing method Download PDF

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CN107665377A
CN107665377A CN201710854102.3A CN201710854102A CN107665377A CN 107665377 A CN107665377 A CN 107665377A CN 201710854102 A CN201710854102 A CN 201710854102A CN 107665377 A CN107665377 A CN 107665377A
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王大成
魏国忠
姜帆
阮琛奂
王海超
崔灿
刘通
欧干新
崔玉顺
顿朝晖
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State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
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State Grid Tianjin Electric Power Co Ltd
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    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The present invention relates to a kind of multiple source-coupled integrated energy system planing method, this method comprises the following steps:1) integrated energy system coupling model is established:And mathematics coupling matrix is write to describe the coupled relation between cold heat/four kinds of electricity/gas energy form by row;2) region As-Is analysis is implemented;3) Regional Energy requirement forecasting is implemented;4) powering device, which is contributed, analyzes;5) energy source station addressing constant volume:Energy source station addressing is rationally determined, energy source station optimization planning object function is established and constraints establishes solving model, solving model obtains optimal energy source station configuration capacity.This method can optimize Wind turbines, photovoltaic plant, gas turbine unit, the addressing of earth source heat pump unit and constant volume in the case where meeting cold heat workload demand, be laid a good foundation for the planning and operation of integrated energy system.

Description

A kind of multiple source-coupled integrated energy system planing method
Technical field
The invention belongs to integrated energy system planning technology field, especially a kind of multiple source-coupled integrated energy system rule The method of drawing.
Background technology
The energy resource system of broad sense includes the subsystems such as power system, heating system, cold supply system and natural gas system.Passing Under the energy-provision way of system, different system is that independent planning, operation and management, this state cause the weight of part energy facilities Rebuild and set, it is suppressed that the raising of energy use efficiency and the consumption of regenerative resource.
Integrated energy system is a kind of Integrated Energy network that various energy resources interaction be present, is that current energy field develops Important morphological.Integrated energy system by the unified plan of the multipotency stream such as hot and cold, electric, gas, coordinate control, intelligent scheduling with it is polynary Interaction, efficiency of energy utilization and distribution type renewable energy on-site elimination ability can be significantly improved.
Study at present and laid particular emphasis on single energy supplying system ad hoc planning with distributing rationally, the coordination to integrated energy system Exploitation considers deficiency with overall efficiency, still lacks various energy resources production for systematic overall planning and integrated solution.
The content of the invention
It is an object of the invention in place of overcome the deficiencies in the prior art, there is provided a kind of multiple source-coupled integrated energy system Planing method.
The technical proposal for solving the technical problem of the invention is:
A kind of typical integrated energy system planing method, the systems organization method include:
Step 1) establishes integrated energy system coupling model, and the model is used for the pass for reflecting energy input and energy output System, and mathematics coupling matrix is write to describe the coupled relation between cold heat/four kinds of electricity/gas energy form by row;
Step 2) implements region As-Is analysis, including implements the analysis of section planning land current situation, urban planning As-Is analysis, money Source distribution As-Is analysis, the planning electricity consumption As-Is analysis be used to analyzing the area in difference in functionality area in project period, construction area, The indexs such as the size of population;The urban planning As-Is analysis is used to determine that the programming and distribution of implementation region base facility, road are built If programming and distribution, greening planning and layout;The resource analysis, including electric power resource, combustion gas resource, regenerative resource money Source, available Low grade resource etc., for determining to implement region resource total amount.
Step 3) implements Regional Energy requirement forecasting:According to the programming and distribution for implementing region difference in functionality area, and different work( The different characteristic of energy area's energy demand, predicts hot and cold, electric, gas the demand in types of functionality area;The implementation Regional Energy demand is pre- Survey the load density for determining implementation region, including thermic load density, electric load density, combustion gas density.
Step 4) powering device, which is contributed, to be analyzed, including wind power generating set, photovoltaic plant, gas turbine, earth source heat pump etc. Equipment output model, for analytical equipment output situation.
Step 5) energy source station addressing constant volume:It is on the one hand comprehensive on the basis of ensureing that system stable operation, energy supply are safe and reliable Close and consider the factors such as systems organization control condition, cooling and heating load distribution, natural resources distribution, region entirety planning, rationally determine Energy source station addressing;On the other hand solving model is established by establishing energy source station optimization planning object function and constraints, solved Model obtains optimal energy source station configuration capacity.
The advantages and positive effects of the present invention are:
Typical integrated energy system planing method provided by the invention, this method can meet the feelings of cold heat workload demand Under condition, optimization Wind turbines, photovoltaic plant, gas turbine unit, the addressing of earth source heat pump unit and constant volume, are comprehensive energy system The planning and operation of system are laid a good foundation.
Brief description of the drawings
Fig. 1 is the frame diagram of this method;
Fig. 2 is integrated energy system coupling model.
Embodiment
Below in conjunction with the accompanying drawings and the invention will be further described by specific embodiment, and following examples are descriptive , it is not limited, it is impossible to which protection scope of the present invention is limited with this.
A kind of typical integrated energy system planing method, the systems organization method include:
Step 1:The integrated energy system coupling model, as shown in Figure 2.Shown coupling model includes energy input (P0Inputted for distributed energy, PeInputted for electricity, PgInputted for gas), middle energy conversion link can source output terminal (LeFor electricity Output, LhExported for gas, L0Exported for distributed energy) and energy storage device (S1And S2)。
Step 1.1:Row write the coupled relation of energy resource system input and output:
L=C P (1)
In formula (1):L is output, and P is input, and C is the coupling matrix of input and output
Step 1.2:Row write the element of inner couplings matrix
In formula (2):P0Inputted for distributed energy, PeInputted for electricity, PgInputted for gas, LeFor electricity output, LhExported for gas, L0Exported for distributed energy, coupling matrixThe element of the inside represents the coupled systemes of the multi-form energy Number.
Step 2) implements region As-Is analysis, including implements the analysis of section planning land current situation, urban planning As-Is analysis, money Source distribution As-Is analysis.
Step 2.1) is according to the programming and distribution for implementing the difference in functionality areas such as region residential block, shopping centre, industrial area, analysis rule The indexs such as the area in Hua Qinei difference in functionalitys area, construction area, the size of population.
Step 2.2) is by existing urban planning As-Is analysis, mainly including path area, construction area, green coverage Deng.It is determined that implement the programming and distribution of programming and distribution, the road construction of region base facility, the planning of greening and layout.
Step 2.3) implement region in resource As-Is analysis, including electric power resource, combustion gas resource, Renewable Energy Resources, The indexs such as available Low grade resource.Electric power resource by existing transmission and distribution network power delivery capabilities and neighbouring power supply come really Fixed, combustion gas resource can be by determining to implementing region gas net pipeline transmission capacity, and regenerative resource can be by history day Gas and load data, determined with reference to big data Predicting Technique.
Regional Energy demand is implemented in step 3) prediction:According to the programming and distribution for implementing region difference in functionality area, and different work( The different characteristic of energy area's energy demand, predicts hot and cold, electric, gas the demand in types of functionality area.
Step 3.1) determines to implement region load density:According to the analysis to implementing regional planning land character, by right Remaining domestic regional land character load index investigation compares, and specifies each department cold heat load index, electric load index, combustion gas Load index
District cooling, heat supply, power supply, supply demand are implemented in step 3.2) prediction:The implementation area obtained according to step 1.1) Domain index of correlation and the cold heat load of step 3.1) determination, electric load, Gas Load index, prediction implementation district cooling/heat, Power supply, supply demand.
Step 4) powering device, which is contributed, to be analyzed:Including wind power generating set, photovoltaic plant, gas turbine, earth source heat pump etc. Production equipment output model analysis.
Step 4.1) wind power generating set, which is contributed, to be analyzed, and its output model is:
In formula (3),Represent that t implements the output of region Wind turbines, CpThe power coefficient of wind wheel is represented, A is represented Swept area of rotor, ρ represent atmospheric density, and v represents wind speed.
Step 4.2) photovoltaic plant, which is contributed, to be analyzed, and its output model is:
In formula (4),GtRepresent that t implements the output and intensity of illumination of region photovoltaic unit, p respectivelystcAnd Gstc The EIAJ and intensity of illumination of photovoltaic unit under standard conditions, T are represented respectivelytAnd TrThe temperature of t photovoltaic module is represented respectively Degree and reference temperature, kTRepresent temperature power coefficient.
Step 4.3) gas turbine unit, which is contributed, to be analyzed, and gas turbine is produced using natural gas as fuel when being burnt using it High-temperature gas expansion work send electric power, the high-temperature residual heat flue gas of discharge reclaims through heat exchanger, effectively improves the utilization of the energy Rate, its output model are:
In formula (5),Represent respectively the electrical power of i-th of gas turbine of t, amount of consumed gas and Waste heat recovery volume;Scheduling factor is represented, represents whether t gas turbine is dispatched;a1、a2、b1、b2For constant.
Step 4.4) earth source heat pump unit output is analyzed, and its output model is:
Qt=G ρ cp(Tm-Tn) (6)
In formula (6), QtThe heat exchange power of t is represented, G represents circulating water flow, and ρ represents the density of tube fluid, cpTable Show the specific heat at constant pressure of water, Tm-TnRepresent buried tube heat exchanger disengaging water temperature difference.
Step 5) energy source station addressing constant volume:On the basis of ensureing that system stable operation, energy supply are safe and reliable, consider All kinds of influence factors, rationally determine energy source station addressing and capacity configuration.
Step 5.1) determines energy source station addressing:Consider systems organization control condition, cooling and heating load distribution, natural resources The factors such as distribution, region entirety planning, rationally determine energy source station addressing.
Step 5.2) determines optimization planning object function:With the cost of investment of integrated energy system in project period, operation into The shortage of energy cost sum of sheet and sign reliability is minimum to be used as optimization aim, considers the safe and stable operation of system, excellent Changing model is:
In formula (7), CtotalTotle drilling cost in project period is represented, T represents the system operation time limit, Cinv(τ)、Cop(τ)、CENS(τ) Cost of investment, operating cost and the shortage of energy cost of τ in project period is represented respectively, and λ represents discount rate.
Step 5.3) determines constraints:Including conventional power generation usage unit units limits, Wind turbines units limits, photovoltaic electric Standing, units limits, gas turbine unit units limits, earth source heat pump unit output constrain, power transmission network constrains, natural gas network Constraint, spare capacity constraint, reliability constraint.
Step 5.4) model solution:Based on above-mentioned object function and constraints, solving model, determine that energy source station capacity is matched somebody with somebody Put.
Typical integrated energy system planing method provided by the invention, this method can meet the feelings of cold heat workload demand Condition is first, and optimization Wind turbines, photovoltaic plant, gas turbine unit, the addressing of earth source heat pump unit and constant volume, are comprehensive energy system The planning and operation of system are laid a good foundation.
Above-described is only the preferred embodiment of the present invention, it is noted that for one of ordinary skill in the art For, on the premise of inventive concept is not departed from, various modifications and improvements can be made, these belong to the protection of the present invention Scope.

Claims (10)

1. a kind of multiple source-coupled integrated energy system planing method, comprises the following steps:
1) integrated energy system coupling model is established:And mathematics coupling matrix is write to describe cold heat/four kinds of electricity/gas energy by row Coupled relation between the form of source;
2) region As-Is analysis is implemented:It is existing including implementation section planning land current situation analysis, urban planning As-Is analysis, resource distribution Shape is analyzed;
3) Regional Energy requirement forecasting is implemented:According to the programming and distribution for implementing region difference in functionality area, and the difference in functionality area energy The different characteristic of demand, hot and cold, electric, gas the demand in types of functionality area is predicted, it is determined that implement the load density in region, including heat Load density, electric load density, combustion gas density;
4) powering device, which is contributed, analyzes:Including wind power generating set, photovoltaic plant, gas turbine, earth source heat pump equipment output mould Type, analytical equipment output situation;
5) energy source station addressing constant volume:On the basis of ensureing that system stable operation, energy supply are safe and reliable, on the one hand consider and be Planning control of uniting condition, cooling and heating load distribution, natural resources distribution, region entirety planning factor, rationally determine energy source station addressing; On the other hand solving model is established by establishing energy source station optimization planning object function and constraints, solving model obtains most preferably Energy source station configuration capacity.
2. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:Described matrix For:
<mrow> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>L</mi> <mi>e</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>L</mi> <mi>h</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>L</mi> <mn>0</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>C</mi> <mrow> <mi>e</mi> <mi>e</mi> </mrow> </msub> </mtd> <mtd> <msub> <mi>C</mi> <mrow> <mi>g</mi> <mi>e</mi> </mrow> </msub> </mtd> <mtd> <msub> <mi>C</mi> <mrow> <mn>0</mn> <mi>e</mi> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>C</mi> <mrow> <mi>e</mi> <mi>h</mi> </mrow> </msub> </mtd> <mtd> <msub> <mi>C</mi> <mrow> <mi>g</mi> <mi>h</mi> </mrow> </msub> </mtd> <mtd> <msub> <mi>C</mi> <mrow> <mn>0</mn> <mi>h</mi> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>C</mi> <mrow> <mi>e</mi> <mn>0</mn> </mrow> </msub> </mtd> <mtd> <msub> <mi>C</mi> <mrow> <mi>g</mi> <mn>0</mn> </mrow> </msub> </mtd> <mtd> <msub> <mi>C</mi> <mn>00</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>P</mi> <mi>e</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mi>g</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mn>0</mn> </msub> </mtd> </mtr> </mtable> </mfenced> </mrow>
P0Inputted for distributed energy, PeInputted for electricity, PgInputted for gas, LeFor electricity output, LhExported for gas, L0For distributed energy Source exports, coupling matrixThe element of the inside represents the coefficient of coup of the multi-form energy.
3. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:The municipal administration rule Drawing As-Is analysis includes path area, builds area, green coverage;It is determined that implement the programming and distribution of region base facility, road The programming and distribution of construction, the planning of greening and layout.
4. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:The resource point Cloth As-Is analysis includes electric power resource, combustion gas resource, Renewable Energy Resources, available Low grade resource, and electric power resource leads to Cross to existing transmission and distribution network power delivery capabilities and neighbouring power supply to determine, combustion gas resource passes through defeated to implementing region gas webmaster road Ability is sent to determine, regenerative resource can be by weather history and load data, determining with reference to big data Predicting Technique.
5. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:Described wind-force Generating set output model is:
<mrow> <msubsup> <mi>p</mi> <mi>t</mi> <mi>W</mi> </msubsup> <mo>=</mo> <mfrac> <mrow> <msub> <mi>C</mi> <mi>p</mi> </msub> <msup> <mi>A&amp;rho;v</mi> <mn>3</mn> </msup> </mrow> <mn>2</mn> </mfrac> </mrow>
Represent that t implements the output of region Wind turbines, CpThe power coefficient of wind wheel is represented, A represents swept area of rotor, ρ represents atmospheric density, and v represents wind speed.
6. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:Described photovoltaic Output of power station model is:
<mrow> <msubsup> <mi>p</mi> <mi>t</mi> <mrow> <mi>P</mi> <mi>V</mi> </mrow> </msubsup> <mo>=</mo> <mfrac> <mrow> <msup> <mi>p</mi> <mrow> <mi>s</mi> <mi>t</mi> <mi>c</mi> </mrow> </msup> <msub> <mi>G</mi> <mi>t</mi> </msub> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>+</mo> <msub> <mi>k</mi> <mi>T</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>t</mi> </msub> <mo>-</mo> <msub> <mi>T</mi> <mi>r</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> <msub> <mi>G</mi> <mrow> <mi>s</mi> <mi>t</mi> <mi>c</mi> </mrow> </msub> </mfrac> </mrow>
GtRepresent that t implements the output and intensity of illumination of region photovoltaic unit, p respectivelystcAnd GstcStandard is represented respectively Under the conditions of photovoltaic unit EIAJ and intensity of illumination, TtAnd TrThe temperature of t photovoltaic module is represented respectively and with reference to temperature Degree, kTRepresent temperature power coefficient.
7. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:Described combustion gas Turbine output model is:
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>f</mi> <mrow> <mi>t</mi> <mo>,</mo> <mi>i</mi> </mrow> <mrow> <mi>G</mi> <mi>T</mi> </mrow> </msubsup> <mo>=</mo> <msub> <mi>a</mi> <mn>1</mn> </msub> <msubsup> <mi>p</mi> <mrow> <mi>t</mi> <mo>,</mo> <mi>i</mi> </mrow> <mrow> <mi>G</mi> <mi>T</mi> </mrow> </msubsup> <mo>+</mo> <msub> <mi>a</mi> <mn>2</mn> </msub> <msubsup> <mi>x</mi> <mrow> <mi>t</mi> <mo>,</mo> <mi>i</mi> </mrow> <mrow> <mi>G</mi> <mi>T</mi> </mrow> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>h</mi> <mrow> <mi>t</mi> <mo>,</mo> <mi>i</mi> </mrow> <mrow> <mi>G</mi> <mi>T</mi> </mrow> </msubsup> <mo>=</mo> <msub> <mi>b</mi> <mn>1</mn> </msub> <msubsup> <mi>p</mi> <mrow> <mi>t</mi> <mo>,</mo> <mi>i</mi> </mrow> <mrow> <mi>G</mi> <mi>T</mi> </mrow> </msubsup> <mo>+</mo> <msub> <mi>b</mi> <mn>2</mn> </msub> <msubsup> <mi>x</mi> <mrow> <mi>t</mi> <mo>,</mo> <mi>i</mi> </mrow> <mrow> <mi>G</mi> <mi>T</mi> </mrow> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced>
The electrical power, amount of consumed gas and waste heat recovery volume of i-th of gas turbine of t are represented respectively;Scheduling factor is represented, represents whether t gas turbine is dispatched;a1、a2、b1、b2For constant.
8. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:Described ground source Heat pump output model is:
Qt=G ρ cp(Tm-Tn)
QtThe heat exchange power of t is represented, G represents circulating water flow, and ρ represents the density of tube fluid, cpRepresent the level pressure ratio of water Thermal capacitance, Tm-TnRepresent buried tube heat exchanger disengaging water temperature difference.
9. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:Described optimization Object of planning function is:
<mrow> <mi>min</mi> <mi> </mi> <msub> <mi>C</mi> <mrow> <mi>t</mi> <mi>o</mi> <mi>t</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>&amp;tau;</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <mfrac> <mrow> <msub> <mi>C</mi> <mrow> <mi>i</mi> <mi>n</mi> <mi>v</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>&amp;tau;</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>C</mi> <mrow> <mi>o</mi> <mi>p</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>&amp;tau;</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>C</mi> <mrow> <mi>E</mi> <mi>N</mi> <mi>S</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>&amp;tau;</mi> <mo>)</mo> </mrow> </mrow> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mi>&amp;lambda;</mi> <mo>)</mo> </mrow> <mrow> <mi>&amp;tau;</mi> <mo>-</mo> <mn>1</mn> </mrow> </msup> </mfrac> </mrow>
CtotalTotle drilling cost in project period is represented, T represents the system operation time limit, Cinv(τ)、Cop(τ)、CENS(τ) represents planning respectively τ cost of investment, operating cost and shortage of energy cost in phase, λ represent discount rate.
10. multiple source-coupled integrated energy system planing method according to claim 1, it is characterised in that:Described pact Beam condition includes generating set units limits, Wind turbines units limits, photovoltaic plant units limits, gas turbine unit and contributed Constraint, the constraint of earth source heat pump unit output, power transmission network constraint, natural gas network constraint, spare capacity constraint, reliability are about Beam.
CN201710854102.3A 2017-09-20 2017-09-20 A kind of multiple source-coupled integrated energy system planing method Pending CN107665377A (en)

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CN108694483A (en) * 2018-07-28 2018-10-23 天津大学 Consider integrated energy system lectotype selection and the method for planning capacity of the coupling of electric heating gas
CN108830473A (en) * 2018-06-05 2018-11-16 上海交通大学 The planing method and its system of coupling regime network
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CN109102125A (en) * 2018-08-27 2018-12-28 国网河北省电力有限公司经济技术研究院 A kind of regional complex energy system planning method for considering natural gas network and electric car and coordinating
CN109449918A (en) * 2018-09-13 2019-03-08 北京国电通网络技术有限公司 The construction method and device for planning of integrated energy system in region
CN109670694A (en) * 2018-12-10 2019-04-23 国网河南省电力公司经济技术研究院 A kind of multipotency source supply system load forecasting method
CN109919480A (en) * 2019-03-01 2019-06-21 广东电网有限责任公司 A kind of energy internet planning method and equipment of three layers of target
CN110097475A (en) * 2019-04-04 2019-08-06 国电南瑞科技股份有限公司 A kind of economical electric heat-storage device control system and method
CN110110897A (en) * 2019-04-11 2019-08-09 华北电力大学 A kind of integrated energy system optimization method considering different storage energy operation strategies
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CN108537409B (en) * 2018-03-15 2021-08-31 广东电网有限责任公司电网规划研究中心 Industrial park power distribution network collaborative planning method considering multi-energy coupling characteristics
CN108446809A (en) * 2018-04-09 2018-08-24 国网河南省电力公司经济技术研究院 A kind of regional complex energy device and network dual-layer optimization configuration method
CN108446809B (en) * 2018-04-09 2020-12-25 国网河南省电力公司经济技术研究院 Regional comprehensive energy equipment and network double-layer optimization configuration method
CN108448628A (en) * 2018-04-16 2018-08-24 清华大学 Distribute distribution type renewable energy method and system in Ac/dc Power Systems rationally
CN108898265A (en) * 2018-05-02 2018-11-27 广州供电局有限公司 A kind of integrated energy system integration planing method
CN108830473B (en) * 2018-06-05 2021-10-01 上海交通大学 Planning method and system for coupling area network
CN108830473A (en) * 2018-06-05 2018-11-16 上海交通大学 The planing method and its system of coupling regime network
CN108694483A (en) * 2018-07-28 2018-10-23 天津大学 Consider integrated energy system lectotype selection and the method for planning capacity of the coupling of electric heating gas
CN109102125B (en) * 2018-08-27 2022-01-28 国网河北省电力有限公司经济技术研究院 Regional comprehensive energy system planning method considering coordination of natural gas network and electric vehicle
CN109102125A (en) * 2018-08-27 2018-12-28 国网河北省电力有限公司经济技术研究院 A kind of regional complex energy system planning method for considering natural gas network and electric car and coordinating
CN109449918A (en) * 2018-09-13 2019-03-08 北京国电通网络技术有限公司 The construction method and device for planning of integrated energy system in region
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CN109670694B (en) * 2018-12-10 2020-09-25 国网河南省电力公司经济技术研究院 Load prediction method for multi-energy supply system
CN109670694A (en) * 2018-12-10 2019-04-23 国网河南省电力公司经济技术研究院 A kind of multipotency source supply system load forecasting method
CN109919480A (en) * 2019-03-01 2019-06-21 广东电网有限责任公司 A kind of energy internet planning method and equipment of three layers of target
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CN112561271A (en) * 2020-12-07 2021-03-26 贵州中建建筑科研设计院有限公司 Energy consumption evaluation and calculation method for ground source heat pump coupled gas distributed triple co-generation system
CN112712199A (en) * 2020-12-25 2021-04-27 杭州鸿晟电力设计咨询有限公司 Comprehensive energy system element location and volume determination method based on excitation demand response
CN112712199B (en) * 2020-12-25 2023-01-10 杭州鸿晟电力设计咨询有限公司 Comprehensive energy system element location and volume determination method based on excitation demand response
CN112926201A (en) * 2021-02-23 2021-06-08 南方电网科学研究院有限责任公司 Heat supply planning method, system and device for comprehensive energy system
CN112926201B (en) * 2021-02-23 2023-08-08 南方电网科学研究院有限责任公司 Comprehensive energy system heat supply planning method, system and device
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