CN104035409A - Demand response system oriented to building energy optimizing operation - Google Patents

Demand response system oriented to building energy optimizing operation Download PDF

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Publication number
CN104035409A
CN104035409A CN201410245153.2A CN201410245153A CN104035409A CN 104035409 A CN104035409 A CN 104035409A CN 201410245153 A CN201410245153 A CN 201410245153A CN 104035409 A CN104035409 A CN 104035409A
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China
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response
building
control
building management
capacity
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CN201410245153.2A
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Chinese (zh)
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CN104035409B (en
Inventor
陈璐
杨永标
徐石明
黄莉
辛建波
谢敏
周静
颜盛军
范瑞祥
汪春
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国家电网公司
国电南瑞科技股份有限公司
国网江西省电力科学研究院
中国电力科学研究院
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Abstract

The invention relates to a demand response system oriented to building energy optimizing operation, and belongs to a power utilization service technology. The demand response system comprises a decentralized control layer, a regional coordination layer and an optimal scheduling layer, wherein a controller of the decentralized control layer is used for acquiring information, uploading the controller information to a building management system, uploading the controller information to a regional resource coordinator of the regional coordination layer through the building management system, and updating the controller information to an acquisition server of the optimal scheduling layer; an application server of the optimal scheduling layer interacts with a load control system and sends a demand response load vacancy command to the regional resource coordinator, and the regional resource coordinator decomposes the demand response load vacancy command finely to generate a demand response load capacity level command and sends the demand response load capacity level command to the building management system and the controller in sequence. By adopting the system, itemized energy utilization information data acquisition and fine load control of a building can be realized, passive control of the conventional load is turned into active response, and the power grid peak load demand is lowered.

Description

A kind of demand response system towards the operation of building building energy source optimization
Technical field
The invention belongs to electricity consumption service technology, be specifically related to a kind of demand response system towards the operation of building building energy source optimization.
Background technology
Under the overall background of global energy-saving and emission-reduction, demand response (Demand Response is called for short DR) arises at the historic moment, and refers to that user changes its consumer behavior, make wholesale electricity market there is price elasticity, it reducing peak load, improves system reliability as the important means of peak load shifting, reduce entire system cost, improve market efficiency, prevent that market member from rigging the market, and makes the important roles such as risk of participant in the market's avoidance system safety and price volalility.In simple terms, when in the face of electric power supply deficiency, logical over excited mode makes user reduce electricity consumption, whether user can decide in its sole discretion and participate in, allow those be ready to pay the user of high electricity price, by their " normally " level, continue electricity consumption, and allow those can reduce demand or be ready that the user who is transferred to low-cost period use the electricity consumption time benefits from low electricity price.
Intelligent grid is great scientific and technical innovation and the Transformation Tendency of 21 century electric system, " intelligent interaction " is as principal feature and the construction object of intelligent grid, comprise the two-way interaction of information and electric energy, encourage user to change traditional power mode according to dynamic electricity price or excitation information and play an active part in operation of power networks.Visible, intelligent grid can promote all kinds of demand response project implementations, for further in-depth power market reform and propelling market construction provide favourable technical support.
After calendar year 2001 California energy crisis, countries in the world are recognized: Demand-side needs and Generation Side are equal to be treated, and in time electric network information is delivered to Demand-side, thereby realizes the response of Demand-side, steadily operation of power networks.Abroad aspect demand response, carried out a large amount of research and practices, and obtained rich experiences, especially the U.S. carry out organize aspect demand response perfect, be demand response application the earliest, country that demand response project kind is maximum.7 regional power systems such as California, USA, PJMHe New England, and U.S. PG & E HeSCEDeng Utilities Electric Co. has all set up the demand response project based on the market promotion successively.According to the statistics of each ISO/RTO of the U.S., in peak load period summer in 2006, by implementing demand response, reduced the peak load of system 1.4%~4.1%.2011, Hawaii, America electrical network pilot was by the quick demand response technology new forms of energy of dissolving, and user's reduction demand rapidly in 10 minutes after receiving demand response signal, obtains better effects.U.S.'s Pacific Northwest National Laboratory has been researched and developed a kind of new controller, can embed in consumer, and automatic monitoring operation of power networks state, response in good time, with the relation of balancing supply with demand; The impact of the slight change of the frequent responsive electricity grid frequency of Britain RLtec company research consumer on equipment life, result shows that service life of equipment is not affected, visible, the smart machine based on Advanced Control Techniques can be as " impact damper " of electrical network when demand peaks or valley.Can reach a conclusion thus, demand response from artificial demand response to semi-automatic demand response, automatically demand response changes, and has good technical support and wide market outlook.
China starts late aspect demand response, and demand response work is not yet fully under way automatically, but China payes attention to using electrical domain always.According to planning, to the end of the year 2014, power information acquisition system coverage rate within the scope of State Grid Corporation of China will reach 100%, and all users in direct-furnish straight tube region are realized to " all standing, full collection, control in full ", and this provides a large amount of data supportings by the enforcement for automatic demand response.In recent years, commercial user's load growth is rapid, and power grid security and electric power even running are produced to considerable influence.In intelligent grid demonstration project is built, grid company has started intelligent building pilot work on Shanghai, Chongqing and other places, the important energy consumption system of building (as air-conditioning system, elevator device, power system etc.) has been realized becoming more meticulous and measured and control, building energy management system can be understood each energy consumption system electricity consumption composition and state in real time, has possessed the ability that participates in automatic demand response.In addition, from reliability, controllability equal angles, compare with industrial load, in electrical network rush hour, reduce the negative effect less (mainly concentrate on and affect aspect human comfort) that the power load of building building causes social production, life, the loss causing is less, and feasibility degree is higher.For strengthening the work of Electricity Demand side management, 2012 the end of the year National Development and Reform Committee below require to carry out as early as possible the city integrated Pilot project construction work of demand Side Management, ensure power supply and demand population equilibrium, improve efficiency of energy utilization, promote " 12 " target for energy-saving and emission-reduction and realize.And demand response is as its important component part, will welcome new opportunity.Therefore, study a kind of demand response system and method towards building building optimization operation and there is positive realistic meaning.
Summary of the invention
The object of the present invention is to provide a kind of can be to the become more meticulous demand response system towards the operation of building building energy source optimization of Detection & Controling of each electrical system in building
Towards a demand response system for building building energy source optimization operation, described system comprises decentralised control layer, regional coordination layer and Optimized Operation layer; After the controller Information Monitoring of decentralised control layer, controller information is uploaded to building management system, by described building management system, be uploaded to again the region resource telegon of regional coordination layer, then by described region resource telegon, be uploaded to the acquisition server of Optimized Operation layer; After the application server of described Optimized Operation layer and load control system are mutual, assign the instruction of demand response load vacancy to described region resource telegon, by the decomposition that becomes more meticulous of region resource telegon, generate the instruction of demand response load capacity grade, and assign to described building management system, then by described building management system, assign steering order to described controller.
Described controller information comprises operational mode, voltage, electric current, active power, reactive power, frequency, the temperature and humidity (including but are not limited to these information) of described controller.
Described decentralised control layer comprises building management system and controller.
Described building management system comprises air-conditioning system, heating system, elevator device, illuminator and managing system of car parking etc., and it receives the demand response load capacity grade instruction from region resource telegon, and sends to controller after generating steering order.
Described controller comprises Air-condition system control device, heating system controller, illuminator controller and elevator device controller.
Described Air-condition system control device comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Humiture in described sensor assembly collection air-supply, return air and room etc.; Described data memory module is mainly used to the historical data of each state in storing control parameter, air-conditioning system operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and display operation by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for showing the data of each course of work state of air-conditioning system, as the state of the humiture in air-supply, return air and room, blower fan, the warning of screen pack pressure reduction etc., touch-screen is used for input control order and control parameter; Described Air-condition system control device communicates by communication module.
Described heating system controller comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Described sensor assembly gathers flow rate, send humiture in coolant-temperature gage, return water temperature and room etc.; Described data memory module is mainly used to the historical data of each state in storing control parameter, heating system operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and show by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for showing the data of each course of work state of heating system, as flow rate, send humiture in coolant-temperature gage, return water temperature and room etc., touch-screen to be used for input control order and control parameter; Described heating system controller communicates by communication module.
Described illuminator controller comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Described sensor assembly collection illumination number and account for the ratio of number, illuminator total electricity consumption etc. for necessary illumination number, inessential illumination; Described data memory module is mainly used to the historical data of each state in storing control parameter, illuminator operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and show by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for the data of each course of work state of display illumination system, as the number and account for the ratio of number, illuminator total electricity consumption etc. for necessary illumination number, inessential illumination of throwing light on, touch-screen is used for input control order and control parameter; Described illuminator controller communicates by communication module.
Described elevator device controller comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Described sensor assembly collection operation elevator number and power consumption thereof etc.; Described data memory module is mainly used to the historical data of each state in storing control parameter, elevator device operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and show by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for showing the data of each course of work state of elevator device, as moved elevator sum, move elevator sum and power consumption, off-duty elevator sum etc., touch-screen is used for input control order and control parameter; Described elevator device controller communicates by communication module.
Described region resource telegon comprise CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module, to time module and control output module; Described to time module while externally unifying, external information by CPU processing module, data memory module, human-computer interaction module and communication module, is carried out information processing, storage, demonstration and communicates by letter successively; Described CPU processing module is controlled output to described control output module.
Described Optimized Operation layer comprises acquisition server, database server and application server; Described acquisition server receives the information from region resource telegon, and sends to described database server to store; Described database server stores is from the information of load control system and region resource telegon; Described application server is analyzed and is processed Information Monitoring, and assigns the instruction of demand response load vacancy to described region resource controller.
Towards a demand response system for building building energy source optimization operation, described system comprises the following steps:
Step 1: before response, the response capacity of building building reports.
Step 2: the response overall process of building building in response.
Step 3: the response effectiveness evaluation of building building after response.
In described step 1, before response, the response capacity of building building reports and refers to that described building management system is by described region resource telegon, reports responded capacity and the response control model of these building building under the instruction of different demand response load capacity grade to described Optimized Operation layer.
Wherein:
1) described Optimized Operation layer allows responded capacity and the response control model of its corresponding different demand response load capacity grade instruction of building building real time modifying, but can respond capacity, need after revising 24 hours, can come into force with response control model.
2) instruction of demand response load capacity grade is to be generated by region resource telegon, comprise regional power grid load capacity grade instruction (high, medium and low three kinds respectively) and regional power grid demand response item types, user will reach different responded capacity after receiving instruction.
3) can refer to that user can cut down capacity by response capacity.
4) response control model is divided into demand response system control model and building management system control model.
5) response time is set as 2 hours without exception.
In described step 2, the response overall process of building building in response comprises 24 hours in advance and shifts to an earlier date building building response overall process two classes of 2 hours ' notices.
The building building of 24 hours ' notices response overall process comprises the following steps in advance:
Steps A: in the measurable situations such as occasion, inclement weather, described load control system initiatively pushes network load vacancy and each regional power grid load vacancy to described Optimized Operation layer in 24 hours in advance, now described Optimized Operation layer generates demand response project, and automatically generate the instruction of demand response load vacancy according to each regional power grid load vacancy, send to described region resource telegon.
Wherein: the instruction of demand response load vacancy comprises regional power grid load vacancy amount and demand response item types.
Step B: through becoming more meticulous decomposition, described region resource telegon sends to described building management system by the instruction of demand response load capacity grade, and now giving tacit consent to control model is building management system control model.
Step C: described building management system, after receiving the instruction of demand response load capacity grade, will send to described region resource telegon by the response grade of described building management system in 12 hours.
Wherein: the load capacity grade that regional power grid load capacity grade participates in for the described building management system of suggestion, but allow described building management system to report other load capacity grade.
Step D: first 12 hours of the start time of response, described region resource telegon reports described Optimized Operation layer by the load capacity grade of building management system, described Optimized Operation layer generates each regional power grid feasible capacity of loading automatically, judges whether to meet the demands.If meet, send to described building management system " 1. response confirmation " signal by described region resource telegon.If fail, meet the demands, described Optimized Operation layer will calculate each region response vacancy capacity, and the building management system that is " demand response system control model " and not response by control model is defaulted as it and participates in response, and calculates its response capacity.Now, described Optimized Operation layer calculates each region response vacancy capacity again, if meet, by described region resource telegon, sends to described building management system " 1. response confirmation " signal.If fail, meet the demands, described Optimized Operation layer calculates each region response vacancy capacity again, and feeds back to described load control system.
Wherein " 1. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model.
Step e: described building management system, after receiving described region resource telegon " 1. response confirmation " signal, will be given described region resource telegon internal feedback in 1 hour, then feed back to described Optimized Operation layer.
Step F: first 2 hours of start time of response, described Optimized Operation layer sends " 2. response confirmation " signal by described region resource telegon to the described building management system participating in again, described building management system is after receiving " 2. response confirmation " signal, " 2. response confirmation " signal is fed back to described region resource telegon immediately, then feed back to described Optimized Operation layer.
Wherein " 2. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model.
Step G: described building management system is according to " 2. response confirmation " signal optimizing steering order, and send to described controller to realize response.The situation that described building management system should respond if occur but do not respond, described Optimized Operation layer is the building management system of " demand response system control model " by Automatically invoked control model; Now, the response of this type of building management system subsidy will be at demand response item types foundation floating certain proportion.
The building building of 2 hours ' notices response overall process comprises the following steps in advance:
Steps A: at electrical network in emergency circumstances, described load control system initiatively pushes network load vacancy and each regional power grid load vacancy to described Optimized Operation layer in 2 hours in advance, now described Optimized Operation layer generates demand response project, and automatically generate the instruction of demand response load vacancy according to each regional power grid load vacancy, and send to described region resource telegon.
Step B: through becoming more meticulous decomposition, described region resource telegon sends to described building management system by the instruction of demand response load capacity grade, and now giving tacit consent to control model is demand response system control model.
Step C: described building management system, after receiving the instruction of demand response load capacity grade, will send to described region resource telegon by the response grade of described building management system in 20 minutes.
Wherein: the load capacity grade that regional power grid load capacity grade participates in for the described building management system of suggestion, but allow described building management system to report other load capacity grade.
Step D: described region resource telegon reports described Optimized Operation layer by the load capacity grade of building management system, described Optimized Operation layer generates each regional power grid feasible capacity of loading automatically, judges whether to meet the demands.If meet, send to described building management system " 1. response confirmation " signal by described region resource telegon.If fail, meet the demands, described Optimized Operation layer will calculate each region response vacancy capacity, and the building management system that is " demand response system control model " and not response by control model is defaulted as it and participates in response, and calculates its response capacity.Now, described Optimized Operation layer calculates each region response vacancy capacity again, if meet, by described region resource telegon, sends to described building management system " 1. response confirmation " signal.If fail, meet the demands, described Optimized Operation layer calculates each region response vacancy capacity again, and feeds back to described load control system.
Wherein " 1. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model.
Step e: described building management system, after receiving described region resource telegon " 1. response confirmation " signal, will be given described region resource telegon internal feedback in 10 minutes, then feed back to described Optimized Operation layer.
Step F: described building management system is according to " 1. response confirmation " signal optimizing steering order, and send to described controller to realize response.The situation that described building management system should respond if occur but do not respond, described Optimized Operation layer is the described building management system of " demand response system control model " by Automatically invoked control model, and does not issue a separate notice; Now, the response of this type of building management system subsidy will be at demand response item types foundation floating certain proportion.
In described step 3, after response, the response effectiveness evaluation of building building comprises the following steps:
Steps A: after response finishes, described region resource telegon sends to the response message of described building management system the application server of described Optimized Operation layer.
Wherein: response message comprises described building management system numbering, response grade, response control model, the response duration building building power load of every 15 minutes.
Step B: described application server calculates the responding ability of described building management system according to response message.
Wherein: the responding ability of described building management system comprises that peak response capacity, response participate in number of times, actual start time of response, actual response time, response time ratio, response fiduciary level and response gradation of effects value.
1) peak response capacity: in the instruction of load capacity grade while being high, the response capacity that described building management system is corresponding.
2) response participates in number of times: described building management system participates in the number of times of demand response.
3) the actual start time of response: after response starts, the time when response capacity should respond capacity 20% over described building management system for the first time.
4) actual response time: response duration, response capacity surpasses the time period that described building management system should respond capacity 20%.
5) response time ratio: the ratio of actual response time and duration of response, maximal value is 1.
6) response fiduciary level: take 5 minutes as interval, response capacity surpasses the ratio that described building management system should respond capacity 90%.
7) response gradation of effects comprises response time ratio, response fiduciary level, and weight is respectively a, b, and response gradation of effects value=a* response time ratio+b* responds fiduciary level.
Step C: described application server calculates the responding ability of described region resource telegon according to response message.
Wherein: the responding ability of described region resource telegon comprises peak response capacity, average response fiduciary level and response completion rate.
1) peak response capacity: the peak response capacity sum of described building management system in region.
2) average response fiduciary level: the response fiduciary level sum/number of users of described building management system in region.
3) response completion rate: assess described region resource telegon and complete the probability that regional power grid completes regional power grid response capacity, consider that the described building management system of taking into account " demand response system control model " calls.
Step D: described application server stores the responding ability of described region resource telegon and described building management system in described database server into.
Compared with prior art, beneficial effect of the present invention is:
1) this system is mainly by hierarchy management and control between Optimized Operation layer, regional coordination layer and decentralised control layer, by initiative and satisfaction that repeatedly " question and answer " guarantee to participate in building building, reduce response error, realize the Passive Control of tradition load to active response, reduce electrical network peak load demand, promote electricity net safety stable nargin, realize security and the economy of electrical network.
2) this system can realize the planned response of 24 hours in advance and shift to an earlier date provisional, the emergency response of 2 hours.
3) the invention provides the demand response method towards the operation of building building energy source optimization effective, practical, science, planned, provisional response is proposed to different response of step targetedly, guarantee to meet the dual requirements of the electricity consumption of building building, mains supply.
4) propose simple, feasible demand response effect evaluation method, be conducive to applying of demand response.
Accompanying drawing explanation
Fig. 1 is the demand response system architecture diagram towards the operation of building building energy source optimization.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
As Fig. 1, a kind of demand response system towards the operation of building building energy source optimization, described system comprises decentralised control layer, regional coordination layer and Optimized Operation layer; After the controller Information Monitoring of decentralised control layer, controller information is uploaded to building management system, by described building management system, be uploaded to again the region resource telegon of regional coordination layer, then by described region resource telegon, be uploaded to the acquisition server of Optimized Operation layer; After the application server of described Optimized Operation layer and load control system are mutual, assign the instruction of demand response load vacancy to described region resource telegon, by the decomposition that becomes more meticulous of region resource telegon, generate the instruction of demand response load capacity grade, and assign to described building management system, then by described building management system, assign steering order to described controller.
Described controller information comprises operational mode, voltage, electric current, active power, reactive power, frequency, the temperature and humidity (including but are not limited to these information) of described controller.
Described decentralised control layer comprises building management system and controller.
Described building management system comprises air-conditioning system, heating system, elevator device, illuminator and managing system of car parking etc., and it receives the demand response load capacity grade instruction from region resource telegon, and sends to controller after generating steering order.
Described controller comprises Air-condition system control device, heating system controller, illuminator controller and elevator device controller.
Described Air-condition system control device comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Humiture in described sensor assembly collection air-supply, return air and room etc.; Described data memory module is mainly used to the historical data of each state in storing control parameter, air-conditioning system operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and display operation by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for showing the data of each course of work state of air-conditioning system, as the state of the humiture in air-supply, return air and room, blower fan, the warning of screen pack pressure reduction etc., touch-screen is used for input control order and control parameter; Described Air-condition system control device communicates by communication module.
Described heating system controller comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Described sensor assembly gathers flow rate, send humiture in coolant-temperature gage, return water temperature and room etc.; Described data memory module is mainly used to the historical data of each state in storing control parameter, heating system operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and show by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for showing the data of each course of work state of heating system, as flow rate, send humiture in coolant-temperature gage, return water temperature and room etc., touch-screen to be used for input control order and control parameter; Described heating system controller communicates by communication module.
Described illuminator controller comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Described sensor assembly collection illumination number and account for the ratio of number, illuminator total electricity consumption etc. for necessary illumination number, inessential illumination; Described data memory module is mainly used to the historical data of each state in storing control parameter, illuminator operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and show by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for the data of each course of work state of display illumination system, as the number and account for the ratio of number, illuminator total electricity consumption etc. for necessary illumination number, inessential illumination of throwing light on, touch-screen is used for input control order and control parameter; Described illuminator controller communicates by communication module.
Described elevator device controller comprises CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module and control output module; Described sensor assembly collection operation elevator number and power consumption thereof etc.; Described data memory module is mainly used to the historical data of each state in storing control parameter, elevator device operational process; Described CPU processing module is mainly to receive, process the controller information from building management system or sensor assembly, splits to close respectively control and show by control output module and human-computer interaction module; Described human-computer interaction module is mainly comprised of liquid crystal display and touch-screen, liquid crystal display is used for showing the data of each course of work state of elevator device, as moved elevator sum, move elevator sum and power consumption, off-duty elevator sum etc., touch-screen is used for input control order and control parameter; Described elevator device controller communicates by communication module.
Described region resource telegon comprise CPU processing module, human-computer interaction module, data memory module, sensor assembly, communication module, to time module and control output module; Described to time module while externally unifying, external information by CPU processing module, data memory module, human-computer interaction module and communication module, is carried out information processing, storage, demonstration and communicates by letter successively; Described CPU processing module is controlled output to described control output module.
Described Optimized Operation layer comprises acquisition server, database server and application server; Described acquisition server receives the information from region resource telegon, and sends to described database server to store; Described database server stores is from the information of load control system and region resource telegon; Described application server is analyzed and is processed Information Monitoring, and assigns the instruction of demand response load vacancy to described region resource controller.
Towards a demand response system for building building energy source optimization operation, described system comprises the following steps:
Step 1: before response, the response capacity of building building reports.
Step 2: the response overall process of building building in response.
Step 3: the response effectiveness evaluation of building building after response.
In described step 1, before response, the response capacity of building building reports and refers to that described building management system is by described region resource telegon, reports responded capacity and the response control model of these building building under the instruction of different demand response load capacity grade to described Optimized Operation layer.
Wherein:
1) described Optimized Operation layer allows responded capacity and the response control model of its corresponding different demand response load capacity grade instruction of building building real time modifying, but can respond capacity, need after revising 24 hours, can come into force with response control model.
2) instruction of demand response load capacity grade is to be generated by region resource telegon, comprise regional power grid load capacity grade instruction (high, medium and low three kinds respectively) and regional power grid demand response item types, user will reach different responded capacity after receiving instruction.
3) can refer to that user can cut down capacity by response capacity.
4) response control model is divided into demand response system control model and building management system control model.
5) response time is set as 2 hours without exception.
In described step 2, the response overall process of building building in response comprises 24 hours in advance and shifts to an earlier date building building response overall process two classes of 2 hours ' notices.
The building building of 24 hours ' notices response overall process comprises the following steps in advance:
Steps A: in the measurable situations such as occasion, inclement weather, described load control system initiatively pushes network load vacancy and each regional power grid load vacancy to described Optimized Operation layer in 24 hours in advance, now described Optimized Operation layer generates demand response project, and automatically generate the instruction of demand response load vacancy according to each regional power grid load vacancy, send to described region resource telegon.
Wherein: the instruction of demand response load vacancy comprises regional power grid load vacancy amount and demand response item types.
Step B: through becoming more meticulous decomposition, described region resource telegon sends to described building management system by the instruction of demand response load capacity grade, and now giving tacit consent to control model is building management system control model.
Step C: described building management system, after receiving the instruction of demand response load capacity grade, will send to described region resource telegon by the response grade of described building management system in 12 hours.
Wherein: the load capacity grade that regional power grid load capacity grade participates in for the described building management system of suggestion, but allow described building management system to report other load capacity grade.
Step D: first 12 hours of the start time of response, described region resource telegon reports described Optimized Operation layer by the load capacity grade of building management system, described Optimized Operation layer generates each regional power grid feasible capacity of loading automatically, judges whether to meet the demands.If meet, send to described building management system " 1. response confirmation " signal by described region resource telegon.If fail, meet the demands, described Optimized Operation layer will calculate each region response vacancy capacity, and the building management system that is " demand response system control model " and not response by control model is defaulted as it and participates in response, and calculates its response capacity.Now, described Optimized Operation layer calculates each region response vacancy capacity again, if meet, by described region resource telegon, sends to described building management system " 1. response confirmation " signal.If fail, meet the demands, described Optimized Operation layer calculates each region response vacancy capacity again, and feeds back to described load control system.
Wherein " 1. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model.
Step e: described building management system, after receiving described region resource telegon " 1. response confirmation " signal, will be given described region resource telegon internal feedback in 1 hour, then feed back to described Optimized Operation layer.
Step F: first 2 hours of start time of response, described Optimized Operation layer sends " 2. response confirmation " signal by described region resource telegon to the described building management system participating in again, described building management system is after receiving " 2. response confirmation " signal, " 2. response confirmation " signal is fed back to described region resource telegon immediately, then feed back to described Optimized Operation layer.
Wherein " 2. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model.
Step G: described building management system is according to " 2. response confirmation " signal optimizing steering order, and send to described controller to realize response.The situation that described building management system should respond if occur but do not respond, described Optimized Operation layer is the building management system of " demand response system control model " by Automatically invoked control model; Now, the response of this type of building management system subsidy will be at demand response item types foundation floating certain proportion.
The building building of 2 hours ' notices response overall process comprises the following steps in advance:
Steps A: at electrical network in emergency circumstances, described load control system initiatively pushes network load vacancy and each regional power grid load vacancy to described Optimized Operation layer in 2 hours in advance, now described Optimized Operation layer generates demand response project, and automatically generate the instruction of demand response load vacancy according to each regional power grid load vacancy, and send to described region resource telegon.
Step B: through becoming more meticulous decomposition, described region resource telegon sends to described building management system by the instruction of demand response load capacity grade, and now giving tacit consent to control model is demand response system control model.
Step C: described building management system, after receiving the instruction of demand response load capacity grade, will send to described region resource telegon by the response grade of described building management system in 20 minutes.
Wherein: the load capacity grade that regional power grid load capacity grade participates in for the described building management system of suggestion, but allow described building management system to report other load capacity grade.
Step D: described region resource telegon reports described Optimized Operation layer by the load capacity grade of building management system, described Optimized Operation layer generates each regional power grid feasible capacity of loading automatically, judges whether to meet the demands.If meet, send to described building management system " 1. response confirmation " signal by described region resource telegon.If fail, meet the demands, described Optimized Operation layer will calculate each region response vacancy capacity, and the building management system that is " demand response system control model " and not response by control model is defaulted as it and participates in response, and calculates its response capacity.Now, described Optimized Operation layer calculates each region response vacancy capacity again, if meet, by described region resource telegon, sends to described building management system " 1. response confirmation " signal.If fail, meet the demands, described Optimized Operation layer calculates each region response vacancy capacity again, and feeds back to described load control system.
Wherein " 1. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model.
Step e: described building management system, after receiving described region resource telegon " 1. response confirmation " signal, will be given described region resource telegon internal feedback in 10 minutes, then feed back to described Optimized Operation layer.
Step F: described building management system is according to " 1. response confirmation " signal optimizing steering order, and send to described controller to realize response.The situation that described building management system should respond if occur but do not respond, described Optimized Operation layer is the described building management system of " demand response system control model " by Automatically invoked control model, and does not issue a separate notice; Now, the response of this type of building management system subsidy will be at demand response item types foundation floating certain proportion.
In described step 3, after response, the response effectiveness evaluation of building building comprises the following steps:
Steps A: after response finishes, described region resource telegon sends to the response message of described building management system the application server of described Optimized Operation layer.
Wherein: response message comprises described building management system numbering, response grade, response control model, the response duration building building power load of every 15 minutes.
Step B: described application server calculates the responding ability of described building management system according to response message.
Wherein: the responding ability of described building management system comprises that peak response capacity, response participate in number of times, actual start time of response, actual response time, response time ratio, response fiduciary level and response gradation of effects value.
1) peak response capacity: in the instruction of load capacity grade while being high, the response capacity that described building management system is corresponding.
2) response participates in number of times: described building management system participates in the number of times of demand response.
3) the actual start time of response: after response starts, the time when response capacity should respond capacity 20% over described building management system for the first time.
4) actual response time: response duration, response capacity surpasses the time period that described building management system should respond capacity 20%.
5) response time ratio: the ratio of actual response time and duration of response, maximal value is 1.
6) response fiduciary level: take 5 minutes as interval, response capacity surpasses the ratio that described building management system should respond capacity 90%.
7) response gradation of effects comprises response time ratio, response fiduciary level, and weight is respectively a, b, and response gradation of effects value=a* response time ratio+b* responds fiduciary level.
Step C: described application server calculates the responding ability of described region resource telegon according to response message.
Wherein: the responding ability of described region resource telegon comprises peak response capacity, average response fiduciary level and response completion rate.
1) peak response capacity: the peak response capacity sum of described building management system in region.
2) average response fiduciary level: the response fiduciary level sum/number of users of described building management system in region.
3) response completion rate: assess described region resource telegon and complete the probability that regional power grid completes regional power grid response capacity, consider that the described building management system of taking into account " demand response system control model " calls.
Step D: described application server stores the responding ability of described region resource telegon and described building management system in described database server into.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although the present invention is had been described in detail with reference to above-described embodiment, those of ordinary skill in the field are to be understood that: still can modify or be equal to replacement the specific embodiment of the present invention, and do not depart from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of claim scope of the present invention.

Claims (10)

1. towards a demand response system for building building energy source optimization operation, it is characterized in that: comprise decentralised control layer, regional coordination layer and Optimized Operation layer; Decentralised control layer comprises controller, building management system; Described Optimized Operation layer comprises database server, application server, acquisition server, load control system; After the controller Information Monitoring of decentralised control layer, controller information is uploaded to building management system, by described building management system, be uploaded to again the region resource telegon of regional coordination layer, then by described region resource telegon, be uploaded to the acquisition server of Optimized Operation layer; After the application server of described Optimized Operation layer and load control system are mutual, assign the instruction of demand response load vacancy to described region resource telegon, by the decomposition that becomes more meticulous of region resource telegon, generate the instruction of demand response load capacity grade, and assign to described building management system, then by described building management system, assign steering order to described controller.
2. the demand response system towards the operation of building building energy source optimization according to claim 1, is characterized in that:
(1) described controller information comprises operational mode, voltage, electric current, active power, reactive power, frequency, the temperature and humidity of described controller.
(2) described building management system comprises air-conditioning system, heating system, elevator device, illuminator and managing system of car parking, building management system receives the demand response load capacity grade instruction from region resource telegon, and sends to controller after generating steering order.
(3) described controller comprises Air-condition system control device, heating system controller, illuminator controller and elevator device controller.
(4) described Air-condition system control device comprises air-conditioning system CPU processing module, air-conditioning system human-computer interaction module, air-conditioning system data memory module, Air-conditioning system sensor module, air-conditioning system communication module and Air-condition system control output module; Humiture in described Air-conditioning system sensor module collection air-supply, return air and room; The historical data of each state in described air-conditioning system data memory module storing control parameter, air-conditioning system operational process; Described air-conditioning system CPU processing module receives, processes the controller information from building management system or sensor assembly, splits to close respectively control and display operation by control output module and human-computer interaction module; Described air-conditioning system human-computer interaction module comprises air-conditioning system liquid crystal display and air-conditioning system touch-screen, liquid crystal display be used for showing the data of each course of work state of air-conditioning system, the data of the data of each course of work state of heating system, each course of work state of illuminator, the data of each course of work state of elevator device, the data of each course of work state of air-conditioning system comprise that the state of humiture in air-supply, return air and room, blower fan, screen pack pressure reduction reports to the police, and touch-screen is used for input control order and control parameter; Described Air-condition system control device communicates by communication module.
(5) described heating system controller comprises heating system CPU processing module, heating system human-computer interaction module, heating system data memory module, heating system sensor assembly, heating system communication module and heating system control output module; Described heating system sensor assembly gathers flow rate, send the humiture in coolant-temperature gage, return water temperature and room; The historical data of each state in described heating system data memory module storing control parameter, heating system operational process; Described heating system CPU processing module receives, processes the controller information from building management system or sensor assembly, controls output module and heating system human-computer interaction module respectively split pass and control and show by heating system; Described heating system human-computer interaction module comprises heating system liquid crystal display and heating system touch-screen, liquid crystal display is used for showing the data of each course of work state of heating system, comprise flow rate, send coolant-temperature gage, the humiture in return water temperature and room, touch-screen is used for input control order and control parameter; Described heating system controller communicates by heating system communication module.
(6) described illuminator controller comprises illuminator CPU processing module, illuminator human-computer interaction module, illuminator data memory module, illuminator sensor assembly, illuminator communication module and illuminator control output module; The collection of described illuminator sensor assembly is when front lit number and work as ratio, the illuminator total electricity consumption that front lit number accounts for necessary illumination number, inessential illumination use number; The historical data of each state in described illuminator data memory module storing control parameter, illuminator operational process; Described illuminator CPU processing module receives, processes the controller information from building management system or illuminator sensor assembly, controls output module and illuminator human-computer interaction module respectively split pass and control and show by illuminator; Described illuminator human-computer interaction module comprises illuminator liquid crystal display and illuminator touch-screen, illuminator liquid crystal display is used for the data of each course of work state of display illumination system, comprise when front lit number and when front lit number and account for ratio, the illuminator total electricity consumption of number for necessary illumination number, inessential illumination, illuminator touch-screen is used for input control order and control parameter; Described illuminator controller communicates by illuminator communication module.
(7) described elevator device controller comprises elevator device CPU processing module, elevator device human-computer interaction module, elevator device data memory module, elevator device sensor assembly, elevator device communication module and elevator device control output module; Described elevator device sensor assembly collection operation elevator number and power consumption thereof; Described elevator device data memory module comprises the historical data of each state in storing control parameter, elevator device operational process; Described elevator device CPU processing module receives, processes the controller information from building management system or elevator device sensor assembly, controls output module and elevator device human-computer interaction module respectively split pass and control and show by elevator device; Described elevator device human-computer interaction module comprises elevator device liquid crystal display and elevator device touch-screen, elevator device liquid crystal display is used for showing the data of each course of work state of elevator device, comprise operation elevator sum, move elevator sum and power consumption, off-duty elevator sum, elevator device touch-screen is used for input control order and control parameter; Described elevator device controller communicates by elevator device communication module.
3. the demand response system towards building building optimization operation according to claim 1, is characterized in that: described region resource telegon comprise region resource coordinate CPU processing module, region resource coordinate human-computer interaction module, region resource coordination data memory module, region resource coordinate sensor assembly, region resource coordinating communication module, region resource coordinate to time module and region resource coordinate to control output module; Described region resource coordinate to time module while externally unifying, external information is coordinated CPU processing module, region resource coordination data memory module, region resource coordination human-computer interaction module and region resource coordinating communication module by region resource successively, carries out information processing, storage, demonstration and communicates by letter; Described region resource is coordinated CPU processing module described region resource coordination control output module is controlled to output.
4. the demand response system towards building building optimization operation according to claim 1, is characterized in that: acquisition server receives the information from region resource telegon, and sends to described database server to store; Described database server stores is from the information of load control system and region resource telegon; Described application server is analyzed and is processed Information Monitoring, and assigns the instruction of demand response load vacancy to described region resource controller.
5. a using method for the demand response system of moving towards building building energy source optimization, is characterized in that:
Described system comprises the following steps:
Step 1: before response, the response capacity of building building reports;
Step 2: the response overall process of building building in response;
Step 3: the response effectiveness evaluation of building building after response.
6. the using method of the demand response system towards the operation of building building energy source optimization according to claim 5, it is characterized in that: in described step 1, before response, the response capacity of building building reports and refers to that described building management system is by described region resource telegon, reports responded capacity and the response control model of these building building under the instruction of different demand response load capacity grade to described Optimized Operation layer;
Wherein:
1) described Optimized Operation layer allows responded capacity and the response control model of its corresponding different demand response load capacity grade instruction of building building real time modifying, but can respond capacity, need after revising 24 hours, can come into force with response control model;
2) instruction of demand response load capacity grade is to be generated by region resource telegon, comprises the grade instruction of regional power grid load capacity and regional power grid demand response item types, and user will reach different responded capacity after receiving instruction;
3) can refer to that user can cut down capacity by response capacity;
4) response control model is divided into demand response system control model and building management system control model;
5) response time is set as 2 hours without exception.
7. the using method of the demand response system towards the operation of building building energy source optimization according to claim 5, it is characterized in that: in described step 2, the response overall process of building building in response comprises 24 hours in advance and shift to an earlier date building building response overall process two classes of 2 hours ' notices.
8. the using method of the demand response system towards the operation of building building energy source optimization according to claim 7, is characterized in that: the building building of 24 hours ' notices response overall process comprises the following steps in advance:
Steps A: in the measurable situations such as occasion, inclement weather, described load control system initiatively pushes network load vacancy and each regional power grid load vacancy to described Optimized Operation layer in 24 hours in advance, now described Optimized Operation layer generates demand response project, and automatically generate the instruction of demand response load vacancy according to each regional power grid load vacancy, send to described region resource telegon;
Wherein: the instruction of demand response load vacancy comprises regional power grid load vacancy amount and demand response item types;
Step B: through becoming more meticulous decomposition, described region resource telegon sends to described building management system by the instruction of demand response load capacity grade, and now giving tacit consent to control model is building management system control model;
Step C: described building management system, after receiving the instruction of demand response load capacity grade, will send to described region resource telegon by the response grade of described building management system in 12 hours;
Wherein: the load capacity grade that regional power grid load capacity grade participates in for the described building management system of suggestion, but allow described building management system to report other load capacity grade;
Step D: first 12 hours of the start time of response, described region resource telegon reports described Optimized Operation layer by the load capacity grade of building management system, described Optimized Operation layer generates each regional power grid feasible capacity of loading automatically, judges whether to meet the demands; If meet, send to described building management system " 1. response confirmation " signal by described region resource telegon; If fail, meet the demands, described Optimized Operation layer will calculate each region response vacancy capacity, and the building management system that is " demand response system control model " and not response by control model is defaulted as it and participates in response, and calculates its response capacity; Now, described Optimized Operation layer calculates each region response vacancy capacity again, if meet, by described region resource telegon, sends to described building management system " 1. response confirmation " signal; If fail, meet the demands, described Optimized Operation layer calculates each region response vacancy capacity again, and feeds back to described load control system;
Wherein " 1. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model;
Step e: described building management system, after receiving described region resource telegon " 1. response confirmation " signal, will be given described region resource telegon internal feedback in 1 hour, then feed back to described Optimized Operation layer;
Step F: first 2 hours of start time of response, described Optimized Operation layer sends " 2. response confirmation " signal by described region resource telegon to the described building management system participating in again, described building management system is after receiving " 2. response confirmation " signal, " 2. response confirmation " signal is fed back to described region resource telegon immediately, then feed back to described Optimized Operation layer;
Wherein " 2. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model;
Step G: described building management system is according to " 2. response confirmation " signal optimizing steering order, and send to described controller to realize response; The situation that described building management system should respond if occur but do not respond, described Optimized Operation layer is the building management system of " demand response system control model " by Automatically invoked control model; Now, the response of this type of building management system subsidy will be at demand response item types foundation floating certain proportion.
9. the using method of the demand response system towards the operation of building building energy source optimization according to claim 8, is characterized in that: the building building of 2 hours ' notices response overall process comprises the following steps in advance:
Steps A: at electrical network in emergency circumstances, described load control system initiatively pushes network load vacancy and each regional power grid load vacancy to described Optimized Operation layer in 2 hours in advance, now described Optimized Operation layer generates demand response project, and automatically generate the instruction of demand response load vacancy according to each regional power grid load vacancy, and send to described region resource telegon;
Step B: through becoming more meticulous decomposition, described region resource telegon sends to described building management system by the instruction of demand response load capacity grade, and now giving tacit consent to control model is demand response system control model;
Step C: described building management system, after receiving the instruction of demand response load capacity grade, will send to described region resource telegon by the response grade of described building management system in 20 minutes;
Wherein: the load capacity grade that regional power grid load capacity grade participates in for the described building management system of suggestion, but allow described building management system to report other load capacity grade;
Step D: described region resource telegon reports described Optimized Operation layer by the load capacity grade of building management system, described Optimized Operation layer generates each regional power grid feasible capacity of loading automatically, judges whether to meet the demands; If meet, send to described building management system " 1. response confirmation " signal by described region resource telegon; If fail, meet the demands, described Optimized Operation layer will calculate each region response vacancy capacity, and the building management system that is " demand response system control model " and not response by control model is defaulted as it and participates in response, and calculates its response capacity; Now, described Optimized Operation layer calculates each region response vacancy capacity again, if meet, by described region resource telegon, sends to described building management system " 1. response confirmation " signal; If fail, meet the demands, described Optimized Operation layer calculates each region response vacancy capacity again, and feeds back to described load control system;
Wherein " 1. response confirmation " signal comprises response numbering, described building management system numbering, response start time, response end time, response grade, response control model;
Step e: described building management system, after receiving described region resource telegon " 1. response confirmation " signal, will be given described region resource telegon internal feedback in 10 minutes, then feed back to described Optimized Operation layer;
Step F: described building management system is according to " 1. response confirmation " signal optimizing steering order, and send to described controller to realize response; The situation that described building management system should respond if occur but do not respond, described Optimized Operation layer is the described building management system of " demand response system control model " by Automatically invoked control model, and does not issue a separate notice; Now, the response of this type of building management system subsidy will be at demand response item types foundation floating certain proportion.
10. the using method of the demand response system towards the operation of building building energy source optimization according to claim 5, is characterized in that: in described step 3, after response, the response effectiveness evaluation of building building comprises the following steps:
Steps A: after response finishes, described region resource telegon sends to the response message of described building management system the application server of described Optimized Operation layer;
Wherein: response message comprises described building management system numbering, response grade, response control model, the response duration building building power load of every 15 minutes;
Step B: described application server calculates the responding ability of described building management system according to response message;
Wherein: the responding ability of described building management system comprises that peak response capacity, response participate in number of times, actual start time of response, actual response time, response time ratio, response fiduciary level and response gradation of effects value;
1) peak response capacity: in the instruction of load capacity grade while being high, the response capacity that described building management system is corresponding;
2) response participates in number of times: described building management system participates in the number of times of demand response;
3) the actual start time of response: after response starts, the time when response capacity should respond capacity 20% over described building management system for the first time;
4) actual response time: response duration, response capacity surpasses the time period that described building management system should respond capacity 20%;
5) response time ratio: the ratio of actual response time and duration of response, maximal value is 1;
6) response fiduciary level: take 5 minutes as interval, response capacity surpasses the ratio that described building management system should respond capacity 90%;
7) response gradation of effects comprises response time ratio, response fiduciary level, and weight is respectively a, b, and response gradation of effects value=a* response time ratio+b* responds fiduciary level;
Step C: described application server calculates the responding ability of described region resource telegon according to response message;
Wherein: the responding ability of described region resource telegon comprises peak response capacity, average response fiduciary level and response completion rate;
1) peak response capacity: the peak response capacity sum of described building management system in region;
2) average response fiduciary level: the response fiduciary level sum/number of users of described building management system in region;
3) response completion rate: assess described region resource telegon and complete the probability that regional power grid completes regional power grid response capacity, consider that the described building management system of taking into account " demand response system control model " calls;
Step D: described application server stores the responding ability of described region resource telegon and described building management system in described database server into.
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