CN105823175A - Air conditioner time-sharing scheduling method based on demand response - Google Patents
Air conditioner time-sharing scheduling method based on demand response Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000004044 response Effects 0.000 title claims abstract description 19
- 238000010248 power generation Methods 0.000 claims abstract description 29
- 238000004378 air conditioning Methods 0.000 claims description 54
- 230000005611 electricity Effects 0.000 claims description 29
- 238000010438 heat treatment Methods 0.000 claims description 4
- 238000009434 installation Methods 0.000 claims description 4
- 238000005457 optimization Methods 0.000 claims description 2
- 230000008030 elimination Effects 0.000 abstract description 5
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- 238000005516 engineering process Methods 0.000 description 4
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- 230000009467 reduction Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 230000005284 excitation Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
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- G06Q50/06—Energy or water supply
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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Abstract
The invention belongs to the technical field of intelligent power grids, and particularly relates to an air conditioner time-sharing scheduling method based on demand response. The air conditioner time-sharing scheduling method based on demand response includes the steps that a power supply operator installs photovoltaic power generation devices connected to the grid for users; the users are classified into two categories according to the temperature variation ranges set for air conditioners by the users, and the users form an alliance along with the photovoltaic power generation devices; the photovoltaic power generation quantity, the baseline load, the power grid power price, the indoor temperature, the outdoor temperature and the rated power of the air conditioners at the current time are obtained; according to the different time periods of the summit time, the flat time and the low tide time of the current power grid power price, the indoor temperature and the outdoor temperature, and in combination with the current photovoltaic power generation quantity, the start and stop of the air conditioners are controlled; the profits gained by the alliance are calculated, the contribution of the two categories of users and the photovoltaic power generation devices to the profits of the alliance is quantified through a Sharpley value method and the profits are distributed. The air conditioner time-sharing scheduling method based on demand response effectively improves the profits of the users and elimination of the photovoltaic resources on the spot, is low in time complexity and low in calculation cost and can be easily achieved on the user side.
Description
Technical field
The invention belongs to intelligent power grid technology field, the method particularly relating to a kind of air-conditioning timesharing based on demand response scheduling.
Background technology
Demand response technology refers to that power price signal or incentive mechanism are responded by user, and adjusts the market participative behavior of normal electricity consumption mode.Introduce demand response technology in user side, transfer Demand-side by the market price or incentive mechanism and participate in the enthusiasm in market, supply side and electricity consumption side are carried out comprehensive resources integration, is the inexorable trend of future electrical energy market development.In demand response based on excitation, incentive mechanism, as middle factor, guides the timely reduction plans of user.The control mode wherein represented is direct load control.This mode can simply directly reach the effect of demand response, but simultaneously need to take into account the comfort level of user, and need to provide the user economic compensation.
Direct load control mode is applicable to resident or small-sized commercial user.Wherein, controllable burden mainly includes the temperature control type loads such as air-conditioning, secondary lighting installation, electric automobile etc..Air-conditioning is due to long operational time, and power is big, and temperature adjusting scope is flexible, is the Demand-side resource of great potential.The reduction of air conditioner load can bring considerable income for operator and user.Air-conditioning is as important Demand-side resource, and its contribution degree should obtain concrete quantization, i.e. calculates the income that user is deserved.
Summary of the invention
In order to improve the utilization rate of photovoltaic power generation quantity, reducing power supply operator and the generating of user, electric cost, the present invention proposes the method for a kind of air-conditioning timesharing based on demand response scheduling, including:
Step 1, power supply operator are user installation photovoltaic power generation apparatus, and are connected to the grid by photovoltaic generation；
Step 2, the size in the variations in temperature interval set for its air-conditioning according to user, be divided into user two classes, and form alliance together with photovoltaic power generation apparatus；
Step 3, obtain the photovoltaic power generation quantity in moment instantly, baseline load, electrical network electricity price, indoor temperature, outdoor temperature, the rated power of air-conditioning；
Step 4, the peak according to current electric grid electricity price, flat, paddy different periods and indoor and outdoor temperature, in conjunction with current photovoltaic power generation quantity, control the start and stop of air-conditioning；
Step 5, calculating alliance profit, and by Sharpley value method, the contribution of alliance's income is quantified by two class users and photovoltaic power generation apparatus, it is user and photovoltaic power generation apparatus distribution income according to the size of contribution；
Step 6, the time that updates, to subsequent time, return step 3, until whole optimization time interval terminates.
Described step 4 specifically includes:
When the temperature upper limit that indoor temperature sets higher than user, air-conditioning is the most out of service；
At a temperature of indoor temperature sets less than user in limited time, air-conditioning starts immediately；
When indoor temperature is between temperature upper limit and the lower limit that user sets, the running status of air-conditioning will be adjusted with photovoltaic power generation quantity according to electricity price: when electricity price is in the paddy period, now air-conditioning duration needed for temperature is heated to temperature upper limit instantly will be estimated, if during this duration, electricity price is constantly in the paddy period, and air-conditioning should be at closed mode, if during this duration, electricity price has been enter into section at ordinary times, then this moment air-conditioning should start immediately；When electricity price is in section at ordinary times, calculate the ENERGY E needed for now air-conditioning heatingonT (), is expressed as S (t) by the photovoltaic power generation quantity in moment instantly, work as EonT, time () ＜ a S (t), this moment air-conditioning should start immediately, and otherwise air-conditioning should be at closed mode, wherein, weigh parameter a >=1, for improving the utilization rate of the photovoltaic generation energy；When electricity price is in the peak period, calculate the ENERGY E needed for now air-conditioning heatingonT (), works as EonT, time () ＜ S (t), this moment air-conditioning should start immediately, and otherwise air-conditioning should be at closed mode.
The beneficial effects of the present invention is: air-conditioning contribution in demand response is quantified, and carry out distribution of income for corresponding user, improve user and participate in the enthusiasm of demand response, it is effectively improved the income of user, and promote the on-site elimination of photovoltaic resources, time complexity is little, calculates low cost, is easier in user side realize.
Accompanying drawing explanation
Fig. 1 is the structure chart of system.
Fig. 2 is each user indoor temperature and the comparing result figure of outdoor temperature after the method using the present invention.
Fig. 3 is electricity and the comparison diagram of photovoltaic power generation quantity that user combines that photovoltaic power generation apparatus exchanges with electrical network.
Detailed description of the invention
Below in conjunction with the accompanying drawings, embodiment is elaborated.The present invention proposes the method for a kind of air-conditioning timesharing based on demand response scheduling.Fig. 1 is the structure chart of system, and mainly by commercial user, photovoltaic generation unit, central controller etc. is elementary composition.Wherein, the load of each user mainly includes the load of air-conditioning and other electrical equipment.Central controller will collect the energy information of unit, and the air-conditioning of each user is directly carried out on off control, makes whole alliance electric cost minimum.Operator is that user buys installation photovoltaic power generation apparatus, is subsidized and alliance's profit profit by the policy of photovoltaic generation.Load preferentially uses the photovoltaic generation energy to power.When the total load in community is more than the generated energy of photovoltaic, and operator will be from electrical network power purchase to make up load vacancy.When the total load in community is less than the generated energy of photovoltaic, and photovoltaic power generation quantity still has residue after meeting community's load, operator can be by unnecessary electricity online, to obtain income.
In order to calculate the electric quantity consumption of air-conditioning, need the diabatic process of air-conditioning with surrounding air is modeled.For the air-conditioning unit in domestic consumer or small business users, the equivalent thermodynamic parameter model of simplification can be used to represent its running.The moving model of air-conditioning need to consider the heat exchange between indoor and outdoor air, and its process can be equivalent to the thermodynamic parameter of correspondence, can be by comprising the differential equation of thermodynamic parameter, and desired parameters includes the equivalent thermal parameter of outdoor temperature and surrounding.
The effect using the method for the present invention to reach is, by adjusting the running status of air-conditioning, improves the income of whole alliance.By Sharpley value method, the contribution of air-conditioning is quantified, and distribute income for corresponding user, improve user and participate in the enthusiasm of demand response.The method can be effectively improved the income of user, and promotes the on-site elimination of photovoltaic resources, and time complexity is little, calculates low cost, is advantageously implemented the low cost operation of alliance.
Air-conditioning participates in income produced by demand response, is by user AC in alliance1, user AC2Cooperation with tri-members of photovoltaic power generation apparatus PV and produce.When three member's independent operatings, AC1With AC2Buy electric to supply load to electrical network, all generated energy are all surfed the Net by PV.The object of distribution of income is alliance and compares the income that stand-alone mode is increased under modality for co-operation.
With 6 house bottom commerces as object of study, proposed method is carried out the emulation experiment of a day.Modality for co-operation is as shown in table 1 with the income comparing result under stand-alone mode.
Table 1: income comparing result
| Stand-alone mode | Modality for co-operation | Additional income |
| -263.478 | -229.143 | 34.335 |
By Shapley value method, AC can be calculated1, AC2, the income of tri-members of PV is respectively 9.54,7.683 and 17.112.Can be seen that photovoltaic generation unit contribution in alliance is maximum, due to AC1The controllable degree of middle air-conditioning is relatively strong, contributes relatively big, therefore distribute the income obtained bigger in cooperation.
Fig. 2 is each user indoor temperature and the comparing result figure of outdoor temperature under modality for co-operation.It can be seen that indoor temperature change generated in case scope is in the comfort level interval of user.The method that the present invention proposes is while improving alliance's benefit, it is ensured that the electricity consumption comfort level of user.In the paddy period of tou power price, owing to photovoltaic electricity is relatively low, temperature substantially remains in the lower limit that comfort level is interval.When close to the section at ordinary times of electricity price, air-conditioning can bring into operation and temperature is heated to the upper limit, to ensure that the air-conditioning of section at ordinary times in electricity price may be at closed mode.Period at noon, owing to photovoltaic is higher, therefore air-conditioning is in running status, and temperature is maintained at the upper limit that comfort level is interval.
The electricity of Tu3Shi alliance and electrical network exchange and the comparison diagram of photovoltaic power generation quantity.It is timing with the exchange electricity of electrical network, represents photovoltaic online；When being negative with the exchange electricity of electrical network, represent that user buys electricity to electrical network.It can be seen that only during 11a.m.-1p.m., photovoltaic is had a surplus electricity online, and remainder is all dissolved by load, promotes the on-site elimination of photovoltaic.
Present invention may apply to residential block and the small-business district etc. being furnished with renewable energy power generation equipment.The air-conditioning timesharing scheduling of present invention proposition and the method for distribution of income, quantify air-conditioning contribution in demand response, and carry out distribution of income for corresponding user, improve user and participate in the enthusiasm of demand response.The method can be effectively improved the income of user, and promotes the on-site elimination of photovoltaic resources, and time complexity is little, calculates low cost, is easier in user side realize.
This embodiment is only the present invention preferably detailed description of the invention; but protection scope of the present invention is not limited thereto; any those familiar with the art in the technical scope that the invention discloses, the change that can readily occur in or replacement, all should contain within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with scope of the claims.
Claims (2)
1. the method for air-conditioning timesharing based on a demand response scheduling, it is characterised in that including:
Step 1, power supply operator are user installation photovoltaic power generation apparatus, and are connected to the grid by photovoltaic generation；
Step 2, the size in the variations in temperature interval set for its air-conditioning according to user, be divided into user two classes, and form alliance together with photovoltaic power generation apparatus；
Step 3, obtain the photovoltaic power generation quantity in moment instantly, baseline load, electrical network electricity price, indoor temperature, outdoor temperature, the rated power of air-conditioning；
Step 4, the peak according to current electric grid electricity price, flat, paddy different periods and indoor and outdoor temperature, in conjunction with current photovoltaic power generation quantity, control the start and stop of air-conditioning；
Step 5, calculating alliance profit, and by Sharpley value method, the contribution of alliance's income is quantified by two class users and photovoltaic power generation apparatus, it is user and photovoltaic power generation apparatus distribution income according to the size of contribution；
Step 6, the time that updates, to subsequent time, return step 3, until whole optimization time interval terminates.
Method the most according to claim 1, it is characterised in that described step 4 specifically includes:
When the temperature upper limit that indoor temperature sets higher than user, air-conditioning is the most out of service；
At a temperature of indoor temperature sets less than user in limited time, air-conditioning starts immediately；
When indoor temperature is between temperature upper limit and the lower limit that user sets, the running status of air-conditioning will be adjusted with photovoltaic power generation quantity according to electricity price: when electricity price is in the paddy period, now air-conditioning duration needed for temperature is heated to temperature upper limit instantly will be estimated, if during this duration, electricity price is constantly in the paddy period, and air-conditioning should be at closed mode, if during this duration, electricity price has been enter into section at ordinary times, then this moment air-conditioning should start immediately；When electricity price is in section at ordinary times, calculate the ENERGY E needed for now air-conditioning heatingonT (), is expressed as S (t) by the photovoltaic power generation quantity in moment instantly, work as EonT ()<during a S (t), this moment air-conditioning should start immediately, and otherwise air-conditioning should be at closed mode, wherein, weighs parameter a>=1, for improving the utilization rate of the photovoltaic generation energy；When electricity price is in the peak period, calculate the ENERGY E needed for now air-conditioning heatingonT (), works as EonT () < during S (t), this moment air-conditioning should start immediately, and otherwise air-conditioning should be at closed mode.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106846179A (en) * | 2017-03-15 | 2017-06-13 | 东南大学 | A kind of resident load bilayer method for optimizing scheduling based on non-cooperative game |
| CN107747794A (en) * | 2017-08-18 | 2018-03-02 | 国网天津市电力公司 | The energy-saving control method that a kind of novel environmental temperature becomes excellent certainly |
| CN107871052A (en) * | 2017-12-12 | 2018-04-03 | 国家电网公司 | A kind of meter and regenerative resource and the energy hub Optimal Operation Model of energy storage |
| CN113932377A (en) * | 2021-10-28 | 2022-01-14 | 珠海格力电器股份有限公司 | Photovoltaic air conditioner, control method thereof and computer-readable storage medium |
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| CN103455852A (en) * | 2013-08-28 | 2013-12-18 | 西安交通大学 | Power transmission and distribution cost allocation method based on DEA cooperative game |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846179A (en) * | 2017-03-15 | 2017-06-13 | 东南大学 | A kind of resident load bilayer method for optimizing scheduling based on non-cooperative game |
| CN106846179B (en) * | 2017-03-15 | 2020-11-20 | 东南大学 | Resident load double-layer scheduling optimization method based on non-cooperative game |
| CN107747794A (en) * | 2017-08-18 | 2018-03-02 | 国网天津市电力公司 | The energy-saving control method that a kind of novel environmental temperature becomes excellent certainly |
| CN107871052A (en) * | 2017-12-12 | 2018-04-03 | 国家电网公司 | A kind of meter and regenerative resource and the energy hub Optimal Operation Model of energy storage |
| CN113932377A (en) * | 2021-10-28 | 2022-01-14 | 珠海格力电器股份有限公司 | Photovoltaic air conditioner, control method thereof and computer-readable storage medium |
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