CN109886469A - A kind of regional complex energy resource system demand side management method - Google Patents
A kind of regional complex energy resource system demand side management method Download PDFInfo
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Abstract
The invention discloses a kind of regional complex energy resource system demand side management methods, include the following steps: S1, according to regional complex energy resource system energy requirement characteristics, regional complex energy resource system is divided into energy input module, energy conversion and memory module and energy output module；S2, regional complex energy resource system demand response model is established.Based on price elasticity theory, analyze reaction of the customer charge to different type energy prices, different load is established to the response model of Peak-valley TOU power price using price elasticity of demand theory, the price elasticity of demand reflects different times energy-consuming to the sensibility of energy prices, that is the ratio of regular period internal loading change rate and price change rate is described with formula.System of the invention can be exchanged by the energy and realize economic benefit, and ensure the reliability of energy supply in system.
Description
Technical field
The present invention relates to Regional Energy technical field of comprehensive utilization, and in particular to a kind of regional complex energy resource system Demand-side
Management method.
Background technique
With the fast development of energy internet and integrated energy system, decentralized energy market and energy network structure
So that traditional electric power demand side, which responds (Demand Response, DR), gradually responds (Integrated to integration requirement side
Demand response, IDR) direction develop.DR is the multiple-energy-source intelligent management system for relying on user and falling, and passes through difference
The comprehensive mechanism and means with energy behavior of collaboration changing of transformation user between the energy, is energy stream in integrated energy system, letter
Breath stream merges the important embodiment in user side with monetary value flow convergence, and what transfer and workload demand including workload demand were asked replaces
In generation, implements sufficiently excavate the potentiality that Demand-side adjusts load, improves the utilization rate of equipment in energy hinge, reduce the energy
Cost.
In terms of conventional electric power demand response, domestic and foreign scholars largely grind to demand response regulating strategy
Study carefully.Document " Optimal combined scheduling of generation and demand response with
Demand resource constraints " it is square from demand response potentiality, demand response duration, demand response frequency etc.
Face, which is started with, carries out characteristic modeling, is introduced into demand response resource as virtual synchronous generator group in model, analyzes demand response money
Source is under Power Market to the influence of system economy；Document " Residential Demand Response
Scheduling With Multiclass Appliances in the Smart Grid " construct Demand Side Response optimization
Regulate and control mathematical model, optimizing index is up to user power utilization value of utility, Optimized model is passed through into Benders decomposition method
Letter solves, and analyzes the situation of change of different electrical equipment operational modes；Document " Real-Time Demand Response
Model》、《Optimal Residential Load Control With Price Prediction in Real-Time
Electricity Pricing Environments》、《Uncertainty-Aware Household Appliance
Scheduling Considering Dynamic Electricity Pricing in Smart Home " it has studied real-time
Under electricity price, the demand response strategy of all kinds of specific electrical equipments and electricity consumption plan；Document " high energy-consuming enterprises's hair under tou power price
With electroresponse " have studied under tou power price background the demand response behavior of transferable load in industrial power plant；Document " Real-
Time Demand Bidding for Energy Management in Discrete Manufacturing
Facilities " its demand response behavior is carried out by being modeled to industrial user's load, and using fuzzy expert system
Decision；Document " " source-net-lotus-storage " of compatibility requirement side resource coordinates and optimizes scheduling model " is with system at water and disposal of pollutants
It is minimised as objective function, the Optimal Operation Model of Demand-side resource in " storage of net lotus " is taken into account when establishing net, and uses population
Optimization algorithm is solved, and corresponding Optimized Operation strategy is given.
In terms of integration requirement response, research is concentrated mainly on user level and system level at present.In user level, phase
It closes research and is concentrated mainly on impact analysis of the energy market price to each main market players's behavior under multiple-energy-source market condition.By more
The modeling of main body benefit, building cover sale of electricity main body, sell gas main body and the tripartite Game model of user, pass through the Nash Equilibrium of model
Interpretation of result respectively participates in the behavioral strategy of main body.Part research also introduces carbon transaction market, further analyzes carbon emission constraint
The influence with energy behavior and user's energy benefit comprehensive to user.But the modeling of user's energy demand is not accounted for using substantially
Substitutability between the different energy sources demand of family, does not analyze the relevance of different type energy demand, in system layer
Face, correlative study are concentrated mainly on impact analysis of the IDR resource to system overall operation cost winner comprehensive energy utilization efficiency,
Modeling analysis is mostly carried out with operation control strategy of the minimum target of system operation cost to multipotency source network, but in IDR resource
The influence factor school considered in modeling process is few, and majority is still the angle from electric system, only analyzes other
The energy resource supply of form does not account for IDR implementation to the shadow of other energy system operations to the optimum results of electric load substantially
It rings.
In conclusion at present for the research of IDR for user with can behavior modeling it is generally relatively simple, and lack pair
For the fining modeling of user's polymorphic type energy demand.Therefore, fining modeling is carried out for IDR resource, specifies IDR resource
The regulating strategy of participation system operation is the key point studied IDR resource and participate in systematic collaboration optimization operation.
Summary of the invention
Object of the present invention is in view of the above-mentioned problems, providing a kind of regional complex energy resource system demand side management method.Firstly,
Comprehensively consider regional complex energy resource system Demand-side energy supply and demand characteristic, it is theoretical based on price elasticity, analyze customer charge pair
The reaction of different type energy prices establishes different load to the response model of Peak-valley TOU power price.Secondly, with certain regional complex
Energy garden is research object, and supplies feature according to system capacity, to two kinds of differences of system independent heat supply and combined heat
Load under mode carries out demand response simulation optimization.It is obtained according to simulation result, combining heating system is compared to independent heat supply
System is more advantageous, and system can be exchanged by the energy and realize economic benefit, and ensure the reliability of energy supply in system.
To achieve the goals above, the technical scheme is that
A kind of regional complex energy resource system demand side management method, includes the following steps:
S1, according to regional complex energy resource system energy requirement characteristics, regional complex energy resource system is divided into energy input
Module, energy conversion and memory module and energy output module；
S2, regional complex energy resource system demand response model is established
For the demand response of RIES, demand response is wider phase interaction between the various energy and energy prices
With relationship, the core of this relationship is the thermal energy supply module in system, and wherein electric & gas passes through different heat supply modes
It is coupled；Two markets of electricity market and market for natural gas simultaneously participate in demand response, and two markets are supplied by thermic load
Module links together；
The implementation of electric power market demand response directly determines the operation conditions of air-conditioning and heat pump, affects CCHP's indirectly
Operation, finally affects the variation of natural gas consumption；The key point of this influence relationship is the diversity of heat-supplying mode and is
Load balancing characteristics in system；
Based on price elasticity theory, reaction of the customer charge to different type energy prices is analyzed herein, utilizes demand valence
Lattice elastic theory establishes different load to the response model of Peak-valley TOU power price, and the price elasticity of demand reflects the different times energy
Consume the sensibility to energy prices, the i.e. ratio of regular period internal loading change rate and price change rate；This relationship can be with
With formula (1), (2) are described；
Wherein formula (1) illustrates that the load of i period with the variation of this period price, and claims βiiFor period from
Coefficient of elasticity；Formula (2) illustrates that the load of i period with the variation of price when j, and claims βijFor the cross-elasticity system of this period
Number；
VQ in formulai--- the load variations amount in the i period；Vpi--- the energy prices variable quantity in the i period；
Qi0--- the original loads in the i period；pi0--- original loads and original prices in the i period；Qi--- peak and valley time
Load after energy prices implementation；pi--- the peak and valley time price after the implementation of peak and valley time energy prices；
Assuming that energy requirement is linear function, according to original loads, prime energy price, peak and valley time price and demand valence
Lattice elasticity, can obtain the energy consumption of each period after implementing demand response；The price type demand response of RIES is obtained in this way
Shown in model such as formula (3)~(10)；
Fs=S (Q 'i)-Q’ipi (3)
In order to maximize the interests of user, it is assumed thatThen formula (4) and formula (5) are available:
Common benefit function is as follows in economics:
According to formula (7), the relationship between energy requirement and energy prices is obtained, as shown in formula (8) and formula (9):
Before implementing load optimal strategy, it is necessary to assess the best reduction range of load；Most according to user
Smaller load calculated result assesses load reduction potential, determine it is best cut down range, make most preferably to cut down range more efficient
It is feasible；
Customer charge reduction potential is calculated according to formula (11)；
In formula--- the load reduction potential of user；Qi0--- user's minimum load；--- interruptible load contract
The minimum guarantee load of the user of middle agreement；
According to the part throttle characteristics of integrated energy system, electric load demand response model and natural gas load demand response mould
Type is described by formula (12) and (14) respectively；The reduction range of electric load and natural gas load formula (13) and (15) description；
Q in formulaE,i--- the electric load (kW) after demand response；QE,i0--- the electric load (kW) before demand response；
QNG,i--- the NG load (m after demand response3)；QNG,i0--- the NG load (m before demand response3)；--- natural gas
Influence coefficient of the load to electric load；γele-dr--- demand response electricity price (member/kWh)；γele--- fixation electricity price (member/
kWh)；--- demand response Gas Prices (member/m3)；--- fixed Gas Prices (member/m3)；QE,i——
Maximum electric load reduction (kW)；QE,i0--- minimum electric load reduction (kW)；QNG,i--- maximum natural gas load reduction
(m3)；QNG,i0--- minimum natural gas load reduction (m3)。
Compared with prior art, the advantages and positive effects of the present invention are:
Regional complex energy resource system demand side management method of the invention, has comprehensively considered regional complex energy resource system demand
Side energy supply and demand characteristic, it is theoretical based on price elasticity, reaction of the customer charge to different type energy prices is analyzed, is established different
Response model of the load to Peak-valley TOU power price.Secondly, using certain regional complex energy garden as research object, and according to system energy
Supply feature is measured, it is excellent to carry out demand response emulation to the load under two kinds of different modes of system independent heat supply and combined heat
Change.It is obtained according to simulation result, regional complex energy resource system is more advantageous compared to independent heat supply system, and system can pass through
Economic benefit is realized in energy exchange, and ensures the reliability of energy supply in system.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is the RIES demand response mechanism figure based on energy prices；
Fig. 2 is the prediction graph of typical day thermic load and power load；
Fig. 3 is the predicted value figure of typical day NG price and electricity price；
Fig. 4 is electric load curve figure before and after 1 demand response of mode；
Fig. 5 is NG load chart before and after 1 demand response of mode；
Fig. 6 is electric load curve figure before and after 2 demand response of mode；
Fig. 7 is NG load chart before and after 2 demand response of mode；
Fig. 8 is the load reduction comparison diagram under different mode.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, in order to further understand the present invention.Obviously, described embodiments are only a part of the embodiments of the present invention,
Instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative labor
Every other embodiment obtained under the premise of dynamic, any modification, equivalent replacement, improvement and so on should be included in this hair
Within bright protection scope.
All experimental methods used are conventional method unless otherwise specified in following embodiment.In following embodiment
Material, reagent used etc. can be obtained through commercial channels unless otherwise specified.
As shown in Figure 1, integrated energy system on the basis of traditional using energy source mode, introduces distributed photovoltaic, storage
The equipment such as energy, gas turbine reduce energy bargain link, realize that energy supplying system is directly facing user and provides hot and cold, electric, gas, steaming
The comprehensive energies service such as vapour.Comprehensive energy service adapts to following " cold-hot-electricity " the energy mix hair in the popularization of user terminal
Exhibition meets socio-economic development and user and requires the diversification such as energy quality, energy kind, supply time.
Integrated energy system both can be applied to region-type, central energy supply, can also energize for single user；It is not only suitable for garden
Interior industrial user also adapts to the building classes such as business in garden, office building, common user (hospital, school, gymnasium) use
Family, moreover it is possible to provide the use energy demand that energy safeguard can satisfy various types of users for residential area user.According to region
Integrated energy system energy requirement characteristics, regional complex energy resource system can be divided into energy input module, energy conversion with
Memory module and energy output module.
(1) energy input module
Energy input module is made of gas distributing system and bulk power grid, and bulk power grid provides electric energy to system by transformer,
Simultaneity factor can be by the foldback telegram in reply net that boosts in the case of electric power is more than needed, and natural gas is then defeated to system by compressor
Enter industrial gas and occupies domestic gas.
In regional complex energy resource system, gas distributing system and bulk power grid participate in system as two big markets in system
The energy equilibrium of supply and demand.In this course, user understands the variation of active response market guidance and Gas Prices, adjusts itself
Use can be accustomed to and energy requirement.Meanwhile gas distributing system and bulk power grid also can be according to the responses of market trend and user
Degree, to itself can close mode of doing business, transaction value is adjusted, promote regional complex energy market development in pluralism.
(2) energy conversion and memory module
In regional complex energy resource system, energy conversion and system element involved in memory module are more, wherein blower
Wind energy and solar energy (clean reproducible energy) are converted into electric energy respectively with light volt Fan group；Micro fuel engine passes through combustion of natural gas
Fever causes steam turbine rotation to generate electricity, and waste heat can be converted to thermal energy and cold by waste heat boiler and Absorption Refrigerator；Electricity
It is that electric energy is converted directly into cold energy, thermal energy and natural gas energy that refrigeration machine, boilers heated electrically and electricity, which turn gas equipment,；Energy storage device includes
Storage, heat accumulation and storage cool equipment, carry out charge and discharge to " electric-thermal-is cold " respectively, have the function of energy buffer.
In energy conversion and memory module, electric energy and thermal energy supply are interrelated.Electric energy, thermal energy and natural gas pass through the energy
Converting apparatus intercouples, and electricity market and market for natural gas are linked together by user, the regional complex energy for being
System has the condition of integration requirement response.
(3) energy output module
Energy output module is mainly energy-consuming link, includes " cold-hot-electric-gas " four type loads, wherein electric load is again
Including controllable electric load and uncontrollable electric load, Demand Side Response usually is carried out using controllable electric load.From entirety
Seen in energy conversion, electric energy and natural gas can be converted to it is cold and hot can and it is electrical between and also mutually convert, belong to Gao Pin
Mass-energy source；Thermal energy not only can be exchanged into cold energy but also can have been stored, and belong to the energy after being only second to the high-quality energy；Wind energy and the sun
It can be only capable of being converted to electric energy, and scene cannot be stored dependent on natural environment, therefore energy quality is lower.
2, regional complex energy resource system demand response model
Demand response (DR) is one of the solution of demand Side Management (DSM).When electricity price rises or system are reliable
When property is on the hazard, user changes its habit power mode receiving demand response signal (electricity price signal and pumping signal) afterwards,
A certain amount of load is reduced or shifts, to ensure the stabilization of power grid.However, in the RIES established herein, energy source type in addition to
It further include thermal energy and natural gas outside electric energy.Therefore, for the demand response of RIES, demand response is the various energy and the energy
Wider interaction relationship between price.The core of this relationship is the thermal energy supply module in system, wherein electricity and day
Right gas is coupled by different heat supply modes.
Two markets of electricity market and market for natural gas simultaneously participate in demand response, and mould is supplied by thermic load in two markets
Block links together.The implementation of electric power market demand response directly determines the operation conditions of air-conditioning and heat pump, affects indirectly
The operation of CCHP finally affects the variation of natural gas consumption.The key point of this influence relationship is the multiplicity of heat-supplying mode
Load balancing characteristics in property and system.The variation of electricity price directly affects the heat of air-conditioning heat supply in system, CCHP is caused to go out
Power increases, the final variation for influencing natural gas demand.The demand response of market for natural gas also produces electricity market similar
Influence.In order to more intuitively be described to this relationship, construct RIES's with relationship between commodity price and demand
Demand response model.
A kind of regional complex energy resource system demand side management method is obtained as a result, is included the following steps:
S1, according to regional complex energy resource system energy requirement characteristics, regional complex energy resource system is divided into energy input
Module, energy conversion and memory module and energy output module；
S2, regional complex energy resource system demand response model is established
For the demand response of RIES, demand response is wider phase interaction between the various energy and energy prices
With relationship, the core of this relationship is the thermal energy supply module in system, and wherein electric & gas passes through different heat supply modes
It is coupled；Two markets of electricity market and market for natural gas simultaneously participate in demand response, and two markets are supplied by thermic load
Module links together.The implementation of electric power market demand response directly determines the operation conditions of air-conditioning and heat pump, influences indirectly
The operation of CCHP, finally affects the variation of natural gas consumption.The key point of this influence relationship is the more of heat-supplying mode
Load balancing characteristics in sample and system；
Based on price elasticity theory, reaction of the customer charge to different type energy prices is analyzed herein, utilizes demand valence
Lattice elastic theory establishes different load to the response model of Peak-valley TOU power price, and the price elasticity of demand reflects the different times energy
Consume the sensibility to energy prices, the i.e. ratio of regular period internal loading change rate and price change rate.This relationship can be with
With formula (1), (2) are described；Wherein formula (1) illustrates that the load of i period with the variation of this period price, and claims βiiFor
The self-elasticity coefficient of the period；Formula (2) illustrates that the load of i period with the variation of price when j, and claims βijFor during this period
Coefficient of cross elasticity；
VQ in formulai--- the load variations amount in the i period；Vpi--- the energy prices variable quantity in the i period；
Qi0--- the original loads in the i period；pi0--- original loads and original prices in the i period；Qi--- peak and valley time
Load after energy prices implementation；pi--- the peak and valley time price after the implementation of peak and valley time energy prices；
Assuming that energy requirement is linear function, according to original loads, prime energy price, peak and valley time price and demand valence
Lattice elasticity, can obtain the energy consumption of each period after implementing demand response；The price type demand response of RIES is obtained in this way
Shown in model such as formula (3)~(10)；
Fs=S (Q 'i)-Q’ipi (3)
In order to maximize the interests of user, we can assume thatThen formula (4) and formula (5) are available:
Common benefit function is as follows in economics:
According to formula (7), relationship between available energy requirement and energy prices, such as formula (8) and formula (9) institute
Show:
Before implementing load optimal strategy, it is necessary to assess the best reduction range of load；Most according to user
Smaller load calculated result assesses load reduction potential, determine it is best cut down range, make most preferably to cut down range more efficient
It is feasible；
Customer charge reduction potential is calculated according to formula (11)；
In formula--- the load reduction potential of user；Qi0--- user's minimum load；--- interruptible load contract
The minimum guarantee load of the user of middle agreement；
According to the part throttle characteristics of integrated energy system, electric load demand response model and natural gas load demand response mould
Type is described by formula (12) and (14) respectively；The reduction range of electric load and natural gas load formula (13) and (15) description；
Q in formulaE,i--- the electric load (kW) after demand response；QE,i0--- the electric load (kW) before demand response；
QNG,i--- the NG load (m after demand response3)；QNG,i0--- the NG load (m before demand response3)；--- natural gas
Influence coefficient of the load to electric load；γele-dr--- demand response electricity price (member/kWh)；γele--- fixation electricity price (member/
kWh)；--- demand response Gas Prices (member/m3)；--- fixed Gas Prices (member/m3)；QE,i——
Maximum electric load reduction (kW)；QE,i0--- minimum electric load reduction (kW)；QNG,i--- maximum natural gas load reduction
(m3)；QNG,i0--- minimum natural gas load reduction (m3)。
Proof analysis
1, basic data and model parameter
The application carries out demand response using certain regional complex energy garden as research object, to its typical daily load.Fig. 2 is
Electric load, thermic load and the NG load prediction curve of typical case's day system winter.The predicted value of typical day NG price and electricity price
As shown in Figure 3.
2, Different Optimization Strategy Simulation result and analysis
Demand response is to improve one of the important means of future source of energy efficiency.Currently, demand response technology is in electric system
In be widely used, achieve good effect.However, the implementation of demand response plan is still RIES energy resource system
Important trial.Therefore, it in order to verify the validity of integrated energy system optimal operation model proposed in this paper, establishes and is based on
The energy supply model of price demand response mechanism, has carried out simulation analysis.
According to the renewable energy of typical day power output, electric heating gas workload demand curve, by demand response mould proposed in this paper
Demand side management of the type for the regional complex energy resource system is practiced, and supplies feature according to system capacity, not to two kinds of system
Demand response optimization is carried out with the load under mode.
Mode 1: independent heat supply mode
Being made of for thermal modules CCHP, air-conditioning system and hot energy-storage system in integrated energy system, system does not receive system
Heating power supply outside system, Gas Prices are fixed as 3.25 yuan/m3；Power supply module in system by CCHP, distributed power generation,
Electric energy storage system and power grid composition.System does not sell extra electricity to power grid, and electricity price is the corresponding electricity price of use time.
Mode 2: combined heat mode
Being made of for thermal modules CCHP, city heat supply net and thermal energy energy-storage system in integrated energy system, system receive
The heat supply of exterior, Gas Prices are demand response price；Power supply module in system is by CCHP, distributed power generation, electricity
It can storage system and power grid composition.Extra electric energy can be sold to power grid by system, and electricity price is the corresponding electricity price of use time.
3, independent heat supply Strategy Simulation result and analysis
The scheduling strategy of energy prices and mode 1 is responded according to demand, and the purchasing price and selling price of electric power are TOU valence
Lattice, Gas Prices are 3.25 yuan/m3.On the basis of demand response model, the part throttle characteristics before and after demand response has been obtained
(as shown in table 1), while system loading curve (as shown in Figure 4 and Figure 5) is also obtained.
System load characteristic before and after 1 mode of table, 1 demand response
Load variations (as shown in table 1) peak valley electric power load difference of response front and back is down to 2.48MW by 4MW according to demand, drops
Width is about 6.17%, and total gas consumption increases 18.06m3The peak-valley difference of (as shown in table 2), NG load increases 0.14%.
As shown in figure 4, the electric load curve before and after 1 demand response of mode has changed a lot, in electricity price peak period, system
Power consumption is substantially reduced.However, the variation of NG load curve is not obvious, mainly rung since NG module is not directly involved in demand
It answers.NG load curve is slightly changed (as shown in Figure 5) in 1:00~3:00 and 17:00~24:00, the master for causing these to change
It wants the reason is that the thermal energy in system is only by air-conditioning system and CCHP offer, when electric load fluctuation is larger, the fortune of air-conditioning system
Row state changes, and results in the variation of CCHP operating states of the units and the variation of NG load curve.Studies have shown that demand is rung
Part throttle characteristics after answering is not only related with energy prices, also related with the influence of energy supply mode.
Load variations situation before and after 2 mode of table, 1 demand response
4, combined heat Strategy Simulation result and analysis
The scheduling strategy in energy prices and mode 2 is responded according to demand, and the purchasing price and selling price of electric power are TOU
Price, NG price are executed by demand response price.On the basis of demand response model, the load before and after demand response has been obtained
Characteristic (as shown in table 3) and system loading curve (as shown in Figure 6 and Figure 7).
System load characteristic before and after 3 mode of table, 2 demand response
The load variations (as shown in table 3) of response front and back, peak valley electric power load difference are down to 3.85MW by 4MW according to demand,
The range of decrease is about 3.46% (reducing by 2.71% compared with mode 1), and natural gas total flow is by 12560m3It is down to 11001.79m3, the range of decrease
About 12.46% (being calculated according to the data in table 4).The peak-valley difference of NG load has dropped 12.41%, under mode 1
NG load variations trend is compared and is varied widely.
As shown in fig. 6, great changes have occurred in the electric load curve in mode 1 before and after demand response, on electricity price peak
The power consumption of period, system are substantially reduced.However, this variation and the variation of mode 1 still have certain difference, because of demand
Part throttle characteristics after response is not only related with energy prices, but also the influence changed with the heat supply mode of NG and part throttle characteristics has
It closes.Meanwhile the variation of NG load curve is very it will be evident that this is mainly due to Gas Prices to perform demand response valence
Lattice.As shown in fig. 7, NG load is substantially reduced in 1:00~9:00 and 15:00~24:00.During this period, the high price of NG
So that system initiatively reduces the output power of CCHP, and increase the heat bought from heat supply company.
Load variations situation before and after 4 mode of table, 2 demand response
5, regional complex energy resource system workload demand response results are analyzed
According to the several features and simulation result of regional complex energy resource system, the thermic load supply in system has very strong
Flexibility.On the one hand, system can choose the air-conditioning system and CCHP system heat supply of internal system, also can choose municipal heating systems
Carry out heat supply.On the other hand, system can choose thermoelectric cold cogeneration and city heat supply net carries out combined heat.Thermic load can be first
It is first provided by the heat source in system, insufficient heat is supplemented by city heat supply net.In system for thermal modules by electric load and day
Right gas load is combined closely, so that the load in system is not only sensitive to energy prices, it is also sensitive to other load variations.According to
Simulation result under different mode, the demand response sensible factor and scheduling unit under different mode are as shown in table 5.Fig. 8 is not
With the load reduction rate under mode.
DR sensible factor and scheduling unit under 5 different mode of table
In mode 1, the distributed generation resource in system can basically meet the electric load demand of system.However, by
It is made of in system heating mode AC system, thermoelectric cold cogeneration and cogeneration of heat and power, system also needs to buy some electricity from power grid
Power meets heat demand.In such a mode, electricity price is the key factor of influence system operation.The variation of electricity price leads to system
In each energy unit output power variation.In addition, 1 electric load of mode according to shown in Fig. 3-3 and Fig. 3-4 and NG load are rung
Situation is answered, electric load is more sensitive to electricity price and thermic load under independent heating mode, and natural gas load is mainly by electric load
It influences.In addition, electric load is adjusted (load reduction 9.97MW) according to the fluctuation of electricity price, this leads to the change of system heat balance
Change, finally results in CCHP and NG load curve and also change, the consumption of natural gas increases 18.0569m3。
In mode 2, diversified trend, power grid and Thermal Corp's wide participation system is presented in the energy supply mode of system
Energy supply.When electricity price and Gas Prices implement demand response simultaneously, the operating status of system each unit shows more
Add complicated variation tendency, but general morphologictrend is still related with the fluctuation of energy prices.Due to different times electricity price and day
There are apparent peak-valley difference, the output power of heating equipment and generating equipment also shows certain peak valley variation and becomes right gas price lattice
Gesture.In addition, 2 electric load of mode and NG load responding situation according to shown in Fig. 3-5 and Fig. 3-6, in combination heat supply mode, electricity
Load is more sensitive to electricity price, thermic load and NG load, and NG load is mainly influenced by Gas Prices and electric load.Due to participating in
The load of demand response includes electric load and NG load, therefore electric load and NG load can be adjusted according to the fluctuation of energy prices
It is whole, to realize the dynamic equilibrium of system heat balance.Compared with independent heating mode, in mode 2, electric load and NG load it
Between there are interaction relationship, two kinds of loads are more sensitive to the fluctuation of energy prices.According to the data in figure.Electric load and day
Right gas load reduces 5.59MW and 1558.208m respectively3。
In traditional demand response, load is the sensitive time interval of price fluctuation to the sensitivity interval of electricity price.It is built herein
In vertical demand response model, load-sensitive section is energy prices and other loads and response load coefficient time
Section.Data are cut down according to the load in table 3-2 and table 3-4, load-sensitive section can be divided into cold-hot-electric load regions of high sensitivity
Between and cold-hot-electric load muting sensitivity section.As shown in fig. 3 to 7, cold-hot-electric load highly sensitive period is concentrated mainly on
18:00~24:00,1:00~8:00, cold-hot-electric load muting sensitivity period are 8:00~18:00.
During cold-hot-electric load is highly sensitive, the heat demand of system reaches maximum value in one day, and heat is negative
The more obvious sense of interaction between lotus, electric load and NG load.In mode 1, NG load does not participate in demand response directly,
NG load reduction is smaller.However, the increase in demand in night system to heat supply, the fluctuation of electricity price leads to becoming for heat for air-conditioning
Change, hot CCHP working state of system is caused to change, eventually leading to the fluctuation of natural gas load, (gas consumption increases
0.14%).In mode 2, compared with mode 1, heat supply mode has occurred that the variation of essence, the operating status of CCHP system
There is important influence to electric load and thermic load.Gas Prices fluctuate so that the working condition of CCHP system is with natural
The fluctuation of gas price lattice and change, and the electric quantity balancing in system is caused to change, this electric load participate in demand to ring
The effect answered is weakened (electric load cuts down ratio and drops to 3.46% from 6.17%).Natural gas load response also has occurred similar
Variation, natural gas load cut down ratio be up to 12.41%.
According to above-mentioned analysis, by comparing operating condition of the system under two kinds of different energy sources supplying modes, it is easy to
The fluctuation of conclusion out, energy prices has a significant impact to the economy and stability of RIES.In the case where system independent operating, though
The energy self-balancing of system is so realized, but the carbon emission of system is at high cost, the stability of system capacity supply is poor.However,
When extra power company participate in system energy supply when, system can by the energy exchange realize economic benefit, and ensure be
The reliability of energy supply in system.
Claims (1)
1. a kind of regional complex energy resource system demand side management method, characterized by the following steps:
S1, according to regional complex energy resource system energy requirement characteristics, by regional complex energy resource system be divided into energy input module,
Energy conversion and memory module and energy output module；
S2, regional complex energy resource system demand response model is established
Based on price elasticity theory, reaction of the customer charge to different type energy prices is analyzed, is managed using the price elasticity of demand
By different load is established to the response model of Peak-valley TOU power price, the price elasticity of demand reflects different times energy-consuming to energy
The sensibility of source price, the i.e. ratio of regular period internal loading change rate and price change rate；With formula (1), (2) are described；
Wherein formula (1) illustrates that the load of i period with the variation of this period price, and claims βiiFor the own elasticity system of the period
Number；Formula (2) illustrates that the load of i period with the variation of price when j, and claims βijFor the coefficient of cross elasticity of this period；
VQ in formulai--- the load variations amount in the i period；Vpi--- the energy prices variable quantity in the i period；Qi0——i
Original loads in period；pi0--- original loads and original prices in the i period；Qi--- peak and valley time energy prices
Load after implementation；pi--- the peak and valley time price after the implementation of peak and valley time energy prices；
Assuming that energy requirement is linear function, according to original loads, prime energy price, peak and valley time price and demand price bullet
Property, the energy consumption of each period after implementing demand response can be obtained；The price type demand response model of RIES is obtained in this way
As shown in formula (3)~(10)；
Fs=S (Q 'i)-Q’ipi (3)
In order to maximize the interests of user, we can assume thatThen formula (4) and formula (5) are available:
Common benefit function is as follows in economics:
According to formula (7), relationship between available energy requirement and energy prices, as shown in formula (8) and formula (9):
Before implementing load optimal strategy, it is necessary to assess the best reduction range of load；According to user's minimal negative
Lotus calculated result assesses load reduction potential, determine it is best cut down range, make most preferably to cut down range is more efficient can
Row；
Customer charge reduction potential is calculated according to formula (11)；
In formula--- the load reduction potential of user；Qi0--- user's minimum load；--- in interruptible load contract about
The minimum guarantee load of fixed user；
According to the part throttle characteristics of integrated energy system, electric load demand response model and natural gas load demand response model point
It is not described by formula (12) and (14)；The reduction range of electric load and natural gas load formula (13) and (15) description；
Q in formulaE,i--- the electric load (kW) after demand response；QE,i0--- the electric load (kW) before demand response；QNG,i——
NG load (m after demand response3)；QNG,i0--- the NG load (m before demand response3)；--- natural gas load is to electricity
The influence coefficient of load；γele-dr--- demand response electricity price (member/kWh)；γele--- fixed electricity price (member/kWh)；
--- demand response Gas Prices (member/m3)；--- fixed Gas Prices (member/m3)；QE,i--- maximum electric load
Reduction (kW)；QE,i0--- minimum electric load reduction (kW)；QNG,i--- maximum natural gas load reduction (m3)；
QNG,i0--- minimum natural gas load reduction (m3)。
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