CN109767080A - A kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system - Google Patents

A kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system Download PDF

Info

Publication number
CN109767080A
CN109767080A CN201811576865.7A CN201811576865A CN109767080A CN 109767080 A CN109767080 A CN 109767080A CN 201811576865 A CN201811576865 A CN 201811576865A CN 109767080 A CN109767080 A CN 109767080A
Authority
CN
China
Prior art keywords
index
day
level index
energy
response
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811576865.7A
Other languages
Chinese (zh)
Other versions
CN109767080B (en
Inventor
杨秀
李阳
刘蓉晖
李子林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai University of Electric Power
University of Shanghai for Science and Technology
Original Assignee
Shanghai University of Electric Power
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai University of Electric Power filed Critical Shanghai University of Electric Power
Priority to CN201811576865.7A priority Critical patent/CN109767080B/en
Publication of CN109767080A publication Critical patent/CN109767080A/en
Application granted granted Critical
Publication of CN109767080B publication Critical patent/CN109767080B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of Demand Side Response appraisal procedures of Communities ' Integrated energy resource system, the following steps are included: 1) using economic indicator, environmental index, target energy and reliability index as the first class index of assessment models, and determine the two-level index under each first class index;2) coupled weight for considering each first class index and two-level index and each two-level index, constructs Demand Side Response assessment models;3) assessment result of side response assessment models carries out Optimized Operation a few days ago to selected system requirements side flexible load according to demand.Compared with prior art, the present invention has many advantages, such as that comprehensive assessment, consideration are comprehensive.

Description

A kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system
Technical field
The present invention relates to community source-lotus scheduling fields, ring more particularly, to a kind of Demand-side of Communities ' Integrated energy resource system Answer appraisal procedure.
Background technique
Research in relation to Demand-side at present is all mainly the peak clipping of consideration electric energy, and the Demand-side of integrated energy system and biography Demand-side in system meaning is very different.Specifically, since the Demand-side of integrated energy system contains electricity, heat, cold three The kind energy, is to be supplied by CCHP (cold-hot-electricity trilogy supply) system, so must sufficiently examine when dispatching to it The response for considering the flexible load of three kinds of energy, rather than just the single response for considering electric energy.
Quantifier elimination is also only lacked to the assessment of integrated energy system Demand-side at this stage, the present invention provides one kind to be directed to The appraisal procedure of integrated energy system Demand-side, it is different from the past that evaluation requirement response effect is come with Demand-side load peak clipping load Fruit, but the effect for influencing to come after evaluation requirement responds to be generated after demand response to environment, economy, the energy, environment.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of Communities ' Integrated energy The Demand Side Response appraisal procedure of system.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system, comprising the following steps:
1) using economic indicator, environmental index, target energy and reliability index as the first class index of assessment models, and really Two-level index under fixed each first class index;
2) consider the subjective and objective coupled weight of each first class index and two-level index and each two-level index, building Demand-side is rung Answer assessment models;
3) response assessment models in side compare before obtaining Demand Side Response with the index value after response according to demand, and root Response is optimized according to comparing result.
Two-level index under the economic indicator includes day operation overall cost, and the second level under the environmental index refers to Mark includes carbon dioxide day discharge amount and the equivalent day emission reduction of carbon dioxide, and the two-level index under the target energy includes one Secondary energy day's expenditure and clean energy resource utilization rate, the two-level index under the reliability index includes energy vacancy rate.
In the step 2), the expression formula of each two-level index is as follows:
Carbon dioxide day discharge amount AI:
Wherein, ζ1、ζ2、ζ3Respectively amount of carbon dioxide, the gas turbine production list of gas fired-boiler output unit heat generation The amount of carbon dioxide that the amount of carbon dioxide of position electric energy production and traditional coal-burning power plant's production unit electricity generate, PGB、PMT、Pnet The gas fired-boiler of respectively period t exports thermal power, gas turbine electromotive power output, the electrical power bought to bulk power grid;
Carbon dioxide day equivalent emission reduction AII:
Wherein,For electricity all in one day, heat, cold flexible loads be all not involved in Optimized Operation and electricity, heat, it is cold between nothing The amount of carbon dioxide generated when coupling;
Energy vacancy rate BI:
Wherein,It is system in one day to power grid purchase of electricity, WE+WH/γ+WC/ γ is that system is all in one day Load is converted into the amount of electric load, and γ is electricity heating, cold Energy Efficiency Ratio, WEFor the electric energy consumed in system one day, WHFor system one The thermal energy consumed in it, WCFor the cold energy consumed in system one day.
Day operation overall cost CI:
CI=FGB+Fnet+FMT+FDG
Wherein, FGB、Fnet、FMT、FDGRespectively gas fired-boiler operating cost, to power grid purchases strategies, gas turbine operation Cost, new energy power output cost, KGB、Kb、KMT、Kw、KpvRespectively the cost coefficient of the every output unit thermal power of gas fired-boiler, to The cost coefficient of the every output unit electrical power of tou power price, the gas turbine of power grid power purchase, wind turbine power output cost, photovoltaic power output Cost, Pw、PpvRespectively wind turbine, photovoltaic output power;
Non-renewable energy day's expenditure DI:
Wherein, m1、m2Respectively standard coal, gas fired-boiler consumed by the every production unit electrical power in traditional coal-burning power plant are every Equivalence margin coal measures number consumed by output unit thermal power.
Clean energy resource utilization rate:
In the step 2), referred to using i-th of the second level of combination weights method acquisition for considering Network Analysis Method and entropy assessment The subjective and objective coupled weight p of targeti, then have:
Wherein, ωiFor i-th of two-level index weight as obtained by Network Analysis Method, μiPass through entropy for i-th of two-level index Weight obtained by power method, αi、βiFor intermediate variable.
The Demand Side Response assessment models are that each two-level index is asked with each being multiplied for two-level index coupled weight With.
In the step 3), the scoring and each two-level index value before the response of side and after response, are obtained according to demand Maximum two-level index is promoted to scoring, and carries out response optimization accordingly.
Compared with prior art, the invention has the following advantages that
One, comprehensive assessment: existing Demand Side Response assessment only considered the single assessment of electric load response, and the present invention examines Electricity, heat, cold three kinds of loads while the recruitment evaluation of response of integrated energy system are considered.
Two, consider comprehensive: the index in terms of evaluation requirement response is no longer limited to the single amount of load peak clipping load Change index, but carrys out the level that evaluation requirement responds from economy, environment, the energy, reliability etc..
Detailed description of the invention
Fig. 1 is estimation flow figure of the invention.
Fig. 2 is assessment indicator system structure chart.
Fig. 3 is the structural schematic diagram of integrated energy system.
Fig. 4 is load prognostic chart.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment
Below with reference to flow chart and specific embodiment, the present invention is described in detail.
1, as shown in FIG. 1, FIG. 1 is estimation flow figures of the invention.
2, Demand-side flexible load is analyzed
Customer charge is divided into 4 classes in such a way that load participates in demand response by integrated energy system:
(1) basic load: this type load belongs to uncontrollable load, and the demand complete response to user, system can not Change its with can mode and with energy the time.
(2) translatable load: load power-on time can change according to plan, and load needs integral translation, the electricity consumption time also across More multiple scheduling slots.
It (3) can reduction plans: can bear centainly to interrupt or drop power, the load for reducing time operation, according to supply/demand Some or all of reduction is carried out to it.
(4) transferable load: each period electricity consumption can will meet whole cycle load after transfer with flexible modulation It is remained unchanged before total amount and transfer.
Wherein, the characteristic that " translatable load " and " transferable load " is all changed with load power-on time according to plan, but The two is also had any different: " translatable load " needs integral translation, and the electricity consumption time cannot interrupt and the duration is fixed, when electricity consumption The power of Duan Suoxu is immutable, such as washing machine, disinfection cabinet;" transferable load " is than " translatable load " more flexible, electricity consumption The electricity consumption of period can flexible modulation, the electricity consumption period allows to interrupt and the duration is not fixed, and need to only meet the negative of transfer front and back Lotus total demand is constant, and electric car is typical transferable load, and charging time of electric car under orderly charge mode fills Electrical power is adjustable, but required total charge volume is constant.In view of user is more sensitive to thermic load, only consider that heat is negative herein In lotus and refrigeration duty it is translatable, can reduction plans characteristic.
3, demand response Optimized Operation
The present invention predicts load and new energy power output with the minimum target of integrated energy system day operation cost a few days ago, With 24 hours for a dispatching cycle, scheduling interval is to come to flexible load Optimized Operation for 1 hour, as a result such as Fig. 3.
The influence data that economy, environment, the energy, reliability are generated for Demand-side scheduling front and back individually below:
Table 1 is to economic impact
It is economical Day operation cost (member/day)
Demand-side does not respond 8768.5
Demand Side Response 7996.7
2 effect on environment of table
Environment Carbon dioxide day discharge amount (t/ days) Day equivalent carbon dioxide emission reduction amount (t/ days)
Demand-side does not respond 1.59 1.12
Demand Side Response 1.35 1.36
Table 3 influences the energy
The energy Non-renewable energy day's expenditure (t/ days) Clean energy resource utilization rate (/)
Demand-side does not respond 3.7 20.3%
Demand Side Response 3.35 21.5%
Table 4 is to reliability effect
As seen from the above table, based on Demand-side electricity, hot, cold flexible load Optimized Operation, the warp of the integrated energy system In terms of index of helping, energy outsourcing cost can save 8.8% energy cost daily;In terms of environmental index, daily carbon dioxide Discharge amount is reduced to 1.35t by 1.59t, and day, equivalent carbon dioxide discharge-reduction was high-volume increased by 1.12t as 1.36t;Target energy side Face, non-renewable energy day's expenditure are reduced to 3.35t by 3.7t, and clean energy resource utilization rate is then since it is considered that equipment depreciation cost increases Add few;In terms of reliability, energy vacancy rate is reduced to 31.1% by 35.4% before.In conclusion considering Demand-side In the front and back comparison of response, it can intuitively find out very much that indices are all improved.Especially in economic aspect and environment Aspect obtains bigger achievement.
4, Index Weights
The present invention uses subjective and objective tax Quan Fangfa, i.e., using Network Analysis Method as subjective weights method, entropy assessment is objective Assign Quan Fangfa.Following table is each index weights of Network Analysis Method:
The subjective weight of table 5
Index A1 B1 B2 C1 C2 D1
Weight 0.2664 0.1052 0.1225 0.0951 0.0947 0.3161
Following table is entropy assessment weight:
6 objective weight of table
Index A1 B1 B2 C1 C2 D1
Weight 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667
If analytic hierarchy process (AHP) finds out the weights omega of each index1、ω2、····ωn.Each index is found out with entropy assessment again to weigh Weight μ1、μ2、····μnCoupled weight
The subjective and objective weight of table 7
Index A1 B1 B2 C1 C2 D1
Comprehensive weight 0.1634 0.1628 0.1540 0.1707 0.1711 0.1780
5, score function
The numerical value of each index in side response front and back according to demand, index before and after demand response is judged according to Delphi method respectively Index value and the fitting of the corresponding relationship of scoring are become scoring letter using least square method by the corresponding relationship that numerical value scores with it Number.Indices value before and after demand response, which is substituted into score function, can acquire the assessment score of this index value, finally handle The corresponding coupled weight of the assessment score of links is multiplied and sums to obtain the total score of system requirements response assessment.
The grading system that the present invention is set is as follows:
8 grading system of table
Grade It is high It is higher It is medium It is lower It is low
Score ≥80 ≥70 ≥60 ≥50 < 50
Obtain each link score are as follows:
Each link score of table 9
Grade form Demand response is not considered Consider demand response
It is economical 54.9 73.3
Environment 62.1 74.5
The energy 61.2 67.3
Reliably 60.9 66.5
Total score 60.5 70.4
It can find out from upper table and have benefited from demand response, be promoted from lower development level to higher in terms of the economic cost of system Development level, environment aspect are increased to higher development level by medium development level, the score in terms of energy aspect and reliability There has also been certain increases, this makes the whole score of system requirements side construction level rise to higher development level from medium, tests The importance of Demand-side construction is demonstrate,proved.

Claims (6)

1. a kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system, which comprises the following steps:
1) it using economic indicator, environmental index, target energy and reliability index as the first class index of assessment models, and determines each Two-level index under first class index;
2) consider that the subjective and objective coupled weight of each first class index and two-level index and each two-level index, building Demand Side Response are commented Estimate model;
3) response assessment models in side compare before obtaining Demand Side Response with the index value after response according to demand, and according to right Response is optimized than result.
2. a kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system according to claim 1, which is characterized in that Two-level index under the economic indicator includes day operation overall cost, and the two-level index under the environmental index includes two Carbonoxide day the discharge amount and equivalent day emission reduction of carbon dioxide, the two-level index under the target energy includes non-renewable energy day Consumption and clean energy resource utilization rate, the two-level index under the reliability index includes energy vacancy rate.
3. a kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system according to claim 2, which is characterized in that In the step 2), the expression formula of each two-level index is as follows:
Carbon dioxide day discharge amount AI:
Wherein, ζ1、ζ2、ζ3The respectively amount of carbon dioxide of gas fired-boiler output unit heat generation, gas turbine production unit electricity The amount of carbon dioxide that the amount of carbon dioxide and traditional coal-burning power plant's production unit electricity that can be generated generate, PGB、PMT、PnetRespectively Thermal power, gas turbine electromotive power output, the electrical power bought to bulk power grid are exported for the gas fired-boiler of period t;
Carbon dioxide day equivalent emission reduction AII:
Wherein,For electricity all in one day, heat, cold flexible loads be all not involved in Optimized Operation and electricity, heat, it is cold between without coupling When the amount of carbon dioxide that generates;
Energy vacancy rate BI:
Wherein,It is system in one day to power grid purchase of electricity, WE+WH/γ+WC/ γ is all loads of system in one day It is converted into the amount of electric load, γ is electricity heating, cold Energy Efficiency Ratio, WEFor the electric energy consumed in system one day, WHFor in system one day The thermal energy of consumption, WCFor the cold energy consumed in system one day.
Day operation overall cost CI:
CI=FGB+Fnet+FMT+FDG
Wherein, FGB、Fnet、FMT、FDGRespectively gas fired-boiler operating cost, to power grid purchases strategies, gas turbine operation cost, New energy power output cost, KGB、Kb、KMT、Kw、KpvRespectively the cost coefficient of the every output unit thermal power of gas fired-boiler, to power grid The cost coefficient of the every output unit electrical power of tou power price, the gas turbine of power purchase, wind turbine power output cost, photovoltaic power output at This, Pw、PpvRespectively wind turbine, photovoltaic output power;
Non-renewable energy day's expenditure DI:
Wherein, m1、m2Respectively standard coal, the every output of gas fired-boiler consumed by the every production unit electrical power in traditional coal-burning power plant Equivalence margin coal measures number consumed by unit thermal power.
Clean energy resource utilization rate:
4. a kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system according to claim 3, which is characterized in that In the step 2), using the host and guest for combination weights method i-th of the two-level index of acquisition for considering Network Analysis Method and entropy assessment See coupled weight pi, then have:
Wherein, ωiFor i-th of two-level index weight as obtained by Network Analysis Method, μiPass through entropy assessment for i-th of two-level index Gained weight, αi、βiFor intermediate variable.
5. a kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system according to claim 3, which is characterized in that The Demand Side Response assessment models are the summation that is multiplied of each two-level index and each two-level index coupled weight.
6. a kind of Demand Side Response appraisal procedure of Communities ' Integrated energy resource system according to claim 1, which is characterized in that In the step 3), the scoring and each two-level index value before the response of side and after response, acquisition propose scoring according to demand Maximum two-level index is risen, and carries out response optimization accordingly.
CN201811576865.7A 2018-12-23 2018-12-23 Demand side response evaluation method of community comprehensive energy system Active CN109767080B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811576865.7A CN109767080B (en) 2018-12-23 2018-12-23 Demand side response evaluation method of community comprehensive energy system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811576865.7A CN109767080B (en) 2018-12-23 2018-12-23 Demand side response evaluation method of community comprehensive energy system

Publications (2)

Publication Number Publication Date
CN109767080A true CN109767080A (en) 2019-05-17
CN109767080B CN109767080B (en) 2021-07-20

Family

ID=66451939

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811576865.7A Active CN109767080B (en) 2018-12-23 2018-12-23 Demand side response evaluation method of community comprehensive energy system

Country Status (1)

Country Link
CN (1) CN109767080B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111191876A (en) * 2019-12-05 2020-05-22 国家电网有限公司 Comprehensive energy system evaluation method for college park
CN112465240A (en) * 2020-12-03 2021-03-09 上海电力大学 Cooperative game-based multi-park energy scheduling optimization method for comprehensive energy system
CN113159540A (en) * 2021-04-07 2021-07-23 国家电网公司华中分部 Demand side resource cascade calling method and device considering load value
CN113469533A (en) * 2021-07-02 2021-10-01 河海大学 Power distribution network operation evaluation method containing comprehensive energy system
CN113554296A (en) * 2021-07-16 2021-10-26 国网江苏省电力有限公司经济技术研究院 Multi-index evaluation method for planning of park comprehensive energy system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102096769A (en) * 2011-01-24 2011-06-15 浙江工业大学 Weighting-based method for measuring comprehensive performance of distributed CCHP (Combined Cooling, Heating and Power) system
CN104376435A (en) * 2014-12-03 2015-02-25 国家电网公司 Electric power and energy balance scheme evaluating method
CN107316125A (en) * 2017-05-12 2017-11-03 燕山大学 A kind of active distribution network economical operation evaluation method based on economical operation domain
CN108416697A (en) * 2018-03-01 2018-08-17 国网上海市电力公司 A kind of distributed busbar protection optimization postitallation evaluation index system construction method of multi-energy complementation

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102096769A (en) * 2011-01-24 2011-06-15 浙江工业大学 Weighting-based method for measuring comprehensive performance of distributed CCHP (Combined Cooling, Heating and Power) system
CN104376435A (en) * 2014-12-03 2015-02-25 国家电网公司 Electric power and energy balance scheme evaluating method
CN107316125A (en) * 2017-05-12 2017-11-03 燕山大学 A kind of active distribution network economical operation evaluation method based on economical operation domain
CN108416697A (en) * 2018-03-01 2018-08-17 国网上海市电力公司 A kind of distributed busbar protection optimization postitallation evaluation index system construction method of multi-energy complementation

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111191876A (en) * 2019-12-05 2020-05-22 国家电网有限公司 Comprehensive energy system evaluation method for college park
CN112465240A (en) * 2020-12-03 2021-03-09 上海电力大学 Cooperative game-based multi-park energy scheduling optimization method for comprehensive energy system
CN112465240B (en) * 2020-12-03 2022-08-23 上海电力大学 Cooperative game-based multi-park energy scheduling optimization method for comprehensive energy system
CN113159540A (en) * 2021-04-07 2021-07-23 国家电网公司华中分部 Demand side resource cascade calling method and device considering load value
CN113469533A (en) * 2021-07-02 2021-10-01 河海大学 Power distribution network operation evaluation method containing comprehensive energy system
CN113554296A (en) * 2021-07-16 2021-10-26 国网江苏省电力有限公司经济技术研究院 Multi-index evaluation method for planning of park comprehensive energy system

Also Published As

Publication number Publication date
CN109767080B (en) 2021-07-20

Similar Documents

Publication Publication Date Title
CN109767080A (en) A kind of Demand Side Response appraisal procedure of Communities &#39; Integrated energy resource system
CN111291963B (en) Park comprehensive energy system planning method for coordinating economy and reliability
CN108596525B (en) Robust optimization scheduling method for micro-energy network with complementary cold-heat-electricity multi-energy
Ju et al. Multi-objective electro-thermal coupling scheduling model for a hybrid energy system comprising wind power plant, conventional gas turbine, and regenerative electric boiler, considering uncertainty and demand response
CN102930343A (en) Method for energy optimization of distributed power generation and energy supply system
CN111404153B (en) Energy hub planning model construction method considering renewable energy and demand response
CN103544372B (en) A kind of Unit Selection method of miniature gas turbine cogeneration system
Faraji et al. Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources
CN103489045A (en) Demand response load optimization potential evaluation method based on multi-scene design
CN110705792A (en) Dynamic demand response solving method considering time-sharing pricing
CN111416352B (en) Scheduling method and computing equipment of multi-energy coupling system
CN108460525A (en) A kind of comprehensive energy utilization ratio appraisal procedure for distribution system of providing multiple forms of energy to complement each other
Li et al. Optimal design for component capacity of integrated energy system based on the active dispatch mode of multiple energy storages
CN110492535A (en) Integrated energy system method for planning capacity containing intermittent new energy
CN115860413A (en) Grid-connected combined cooling heating and power micro-grid system economic scheduling method based on load demand response and double-layer adjustable robust optimization
CN107392366A (en) The integrated energy system supply and demand bilateral comprehensive optimization method of meter and user behavior analysis
Xu et al. Sizing battery energy storage systems for industrial customers with photovoltaic power
Li et al. Modified carbon trading based low-carbon economic dispatch strategy for integrated energy system with CCHP
Renaldi et al. Experience rates of low-carbon domestic heating technologies in the United Kingdom
Guan et al. Chance-constrained optimization of hybrid solar combined cooling, heating and power system considering energetic, economic, environmental, and flexible performances
CN103632045A (en) Computing method for assessing provincial-level power grid power generation dispatching ideality
Liu et al. Analysis of flexible energy use behavior of rural residents based on two-stage questionnaire: A case study in Xi’an, China
CN112001578A (en) Generalized energy storage resource optimization scheduling method and system
Sarfi et al. A new multi-objective economic-emission dispatch in microgrids
CN105225070A (en) Energy-saving power generation dispatching method of planning and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant