CN107528347A - A kind of power demand side's management system and method for high permeability intermittent new energy access power distribution network - Google Patents
A kind of power demand side's management system and method for high permeability intermittent new energy access power distribution network Download PDFInfo
- Publication number
- CN107528347A CN107528347A CN201710754662.1A CN201710754662A CN107528347A CN 107528347 A CN107528347 A CN 107528347A CN 201710754662 A CN201710754662 A CN 201710754662A CN 107528347 A CN107528347 A CN 107528347A
- Authority
- CN
- China
- Prior art keywords
- load
- demand
- load group
- distribution network
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of power demand side's management system of high permeability intermittent new energy access power distribution network, the power distribution network includes intermittent new energy and load group, the power demand side's management system uses hierarchical control framework, includes the Demand-side decision system on upper strata, the load group control system of lower floor.The present invention uses hierarchical control framework, and load is divided into some load groups, decision system and group control system is set, simplifies communication network, enhance set expandability, on the one hand simplifies the computation complexity of upper strata decision system, improves response speed；On the other hand, lower floor's group control system can be closely connected with specific load equipment, analysis load characteristic, carry out broad sense battery it is equivalent, can control while not failing load use characteristic.
Description
Technical field
The present invention relates to intelligent power distribution network technology field, and in particular to a kind of high permeability intermittent new energy accesses distribution
The power demand side's management system and method for net.
Background technology
With greatly developing for new energy technology, large-scale regenerative resource access power network, and these regenerative resources
Intermittence often be present, typically photovoltaic and wind-powered electricity generation.The intermittence of new energy brings new challenge to dispatching of power netwoks, such as
The problems such as power is sent, the fluctuation of voltage out-of-limit, substantial power.And with the rise of intelligent grid and the development of the communication technology, need
The information channel of side and grid side is asked rapidly to increase, realizing that the on-site elimination of intermittent energy becomes by dsm can
OK, distribution new energy permeability can be effectively improved by DSM.
At present, because of voltage out-of-limit, trend give, relay protection malfunction the problems such as exist, new energy accesses the scale one of power distribution network
Directly it is restricted, abandons wind, abandons that light is of common occurrence, permeability is stuck in relatively low bottleneck.According to suitable DSM,
The on-site elimination of intermittent energy is realized, then can effectively avoid impact of the intermittent energy to bulk power grid, further improve new energy
The permeability of source access.Existing dsm research mainly has both direction, and one is to balance power network realtime power ripple
Direct load control for the purpose of dynamic, but this control method is possible in theory, and actual load can not possibly receive such height
The control of frequency；Another is the Demand-side electricity consumption arrangement that long time scale is carried out according to information of forecasting, can complete long-time chi
The consumption task of degree, but the short-time fluctuations of high permeability intermittent new energy can not be tackled.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of demand of high permeability intermittent new energy access power distribution network
Side management system and method, the on-site elimination ability of intermittent energy can be significantly increased, be advantageous to the popularization of new energy and connect
Enter power network use.
The present invention is achieved through the following technical solutions：
A kind of power demand side's management system of high permeability intermittent new energy access power distribution network, the power distribution network include the new energy of batch (-type)
Source and load group, the power demand side's management system use hierarchical control framework, include the Demand-side decision system on upper strata, lower floor
Load group control system；
The Demand-side decision system carries out load prediction according to the historical data of power distribution network and generating is predicted, generates electricity consumption meter
Draw, carry out Demand-side and once manage, Demand-side once manages the intermittent new energy digestion completed in long time scale, makes new energy
Source power curve and load curve trend are coincide；Real-time Load is calculated with plan for adjustment target according to the real time data of power distribution network,
Carry out Demand-side secondary management；The load group state uploaded according to load group control system carries out power target optimization distribution, completes
The diversity of load is kept while control targe as far as possible；
Load equipment in the load group of the load group control system control power distribution network, monitors the running status of load group, calculates
The regulating power of load group simultaneously uploads Demand-side decision system, and the control targe that Demand-side decision system is assigned is assigned into load
Equipment, meet normal use demand of the user to equipment as far as possible while completing control targe.
The further scheme of the present invention is that the load equipment of the power distribution network is multiple load groups according to Topology partition, often
Individual load group is respectively arranged with load group control system.
The further scheme of the present invention is that the load group control system carries out broad sense battery etc. using big data analysis method
Effect, with the regulating power of calculated load group.
The further scheme of the present invention is that the load group control system controls different classifications respectively using various control means
Load.
A kind of dsm method of high permeability intermittent new energy access power distribution network, comprises the following steps：
S1:Demand-side decision system is set in the response region of power network, the load of Demand Side Response will be participated in response region
Several loads group is divided into by topological structure, each load group sets a load group control system；
S2:Load group control system obtains the state of each load group, calculates the adjustability of each corresponding load group, and
It is uploaded to Demand-side decision system；
S3:Demand-side decision system is done periodic Demand-side and once managed and the Demand-side secondary management of triggering property；Demand-side
Once manage according to load prediction, generate electricity and predict, carry out rolling optimization by the cycle, generate electricity consumption plan, and according to load team control
The state for the load group that system uploads, by electricity consumption planned assignment to each load group；
S4:After load group control system receives electricity consumption plan, according to the part throttle characteristics and real-time status in load group, carry out excellent
Change and calculate, by electricity consumption planned assignment to each load, and control instruction is issued according to electricity consumption plan, target of hitting the target；
S5:It is Demand-side secondary management given threshold on the basis of Demand-side is once managed and completed, real-time monitored space
Domain power swing, when short-time rating fluctuation exceedes threshold value, start secondary management；
S6:All load groups for participating in secondary management are excluded, are filtered out in remaining load group and secondary management desired value
The load group most matched is responded, and issues control targe；
S7:After load group control system receives top level control target, respond at once, generate control instruction and issue, complete power
Adjust target.
The present invention compared with prior art the advantages of be：
First, using hierarchical control framework, load is divided into some load groups, decision system and group control system are set, simplified
Communication network, enhances set expandability, on the one hand simplifies the computation complexity of upper strata decision system, improves response speed；
On the other hand, lower floor's group control system can be closely connected with specific load equipment, analysis load characteristic, and progress broad sense battery is equivalent,
Can control while not failing load use characteristic；
2nd, with reference to existing two kinds of mainstream demands side management technology, carry out Demand-side once manage with Demand-side secondary management, it is complete
The new energy consumption of growth time yardstick and the power-balance of short-term time scale, can significantly increase disappearing on the spot for intermittent energy
Receive ability, the popularization and access power network for being advantageous to new energy use；
3rd, technology is kept using load diversity, prevents secondary power mutation caused by load while response；Meanwhile setting is touched
The power swing threshold value of secondary management is sent out, flow control technology is taken turns using load group, the controlled frequency of load is limited, takes into full account
Demand-side feature, be advantageous to promote DSM more to participate in power distribution network scheduling.
Brief description of the drawings
Fig. 1 is the system architecture diagram of the present invention.
Fig. 2 is the dsm method flow diagram of the present invention.
Embodiment
A kind of power demand side's management system of high permeability intermittent new energy access power distribution network as shown in Figure 1, the distribution
Net includes intermittent new energy and load equipment, and the load equipment is multiple load groups according to Topology partition, each load group
It is respectively arranged with load group control system；The power demand side's management system uses hierarchical control framework, including the Demand-side on upper strata to determine
Plan system, the one-to-one corresponding of lower floor is in the load group control system of load group；
The Demand-side decision system carries out load prediction according to the historical data of power distribution network and generating is predicted, generates electricity consumption meter
Draw, carry out Demand-side and once manage, Demand-side once manages the intermittent new energy digestion completed in long time scale, makes new energy
Source power curve and load curve trend are coincide；Real-time Load is calculated with plan for adjustment target according to the real time data of power distribution network,
Carry out Demand-side secondary management；The load group state uploaded according to load group control system carries out power target optimization distribution；
Load equipment in the load group of the load group control system control power distribution network, monitors the running status of load group, uses
Big data analysis method progress broad sense battery is equivalent, and the regulating power of calculated load group simultaneously uploads Demand-side decision system, need to
The control targe for asking side decision system to assign is assigned to load equipment；The load group control system is completed to expire while control targe
For sufficient user to the normal use demand of equipment, the load group control system distinguishes interruptible load, adjustable also to load classification
Load, uncontrollable load, translatable load, different control devices is used for the load classification of different qualities, is not destroyed negative
The use characteristic of lotus.
A kind of dsm method of high permeability intermittent new energy access power distribution network as shown in Figure 2, including with
Lower step：
S1:Demand-side decision system is set in the response region of power network, the load of Demand Side Response will be participated in response region
Several loads group is divided into by topological structure, each load group sets a load group control system；
S2:Load group control system obtains the state of each load group, calculates each adjustability of corresponding load group, fast
Speed response load, interruptible load, and it is uploaded to Demand-side decision system；
S3:Demand-side decision system is done periodic Demand-side and once managed and the Demand-side secondary management of triggering property；Demand-side
Once manage according to load prediction, generate electricity and predict, carry out rolling optimization by the cycle, generate electricity consumption plan, and according to load team control
The state for the load group that system uploads, on the premise of load diversity is ensured, by electricity consumption planned assignment to each load group；
S4:After load group control system receives electricity consumption plan, according to the part throttle characteristics and real-time status in load group, carry out excellent
Change and calculate, by electricity consumption planned assignment to each load, and control instruction is issued according to electricity consumption plan, target of hitting the target；
S5:But due to load, the uncertainty of intermittent energy, short-time rating fluctuation is still suffered from, it is all to also need to be needed
Seek side secondary management；Traditional dsm method attempts to realize grid power Real-time Balancing by Load adjustment, ignores
The characteristic that load in itself can not be controlled frequently, does not possess practicality.The present embodiment once manages what is completed in Demand-side
On the basis of, it is contemplated that the characteristics of short-time rating fluctuation duration is short, undulating value is small, fluctuation threshold is set, allows each load group to take turns
Stream response, carries out Demand-side secondary management；On the basis of Demand-side is once managed and completed, set for Demand-side secondary management
Determine threshold value, real-time monitor area power swing, when short-time rating fluctuation exceedes threshold value, start secondary management；
S6:All load groups for participating in secondary management are excluded, are filtered out in remaining load group and secondary management desired value
The load group most matched is responded, and issues control targe；
S7:After load group control system receives top level control target, respond at once, generate control instruction and issue, complete power
Adjust target.
Claims (5)
1. a kind of power demand side's management system of high permeability intermittent new energy access power distribution network, it is new that the power distribution network includes batch (-type)
The energy and load group, it is characterised in that：The power demand side's management system uses hierarchical control framework, including the Demand-side on upper strata to determine
Plan system, the load group control system of lower floor；
The Demand-side decision system carries out load prediction according to the historical data of power distribution network and generating is predicted, generates electricity consumption meter
Draw, carry out Demand-side and once manage；Real-time Load is calculated with plan for adjustment target according to the real time data of power distribution network, carries out demand
Side secondary management；The load group state uploaded according to load group control system carries out power target optimization distribution；
Load equipment in the load group of the load group control system control power distribution network, monitors the running status of load group, calculates
The regulating power of load group simultaneously uploads Demand-side decision system, and the control targe that Demand-side decision system is assigned is assigned into load
Equipment.
2. a kind of power demand side's management system of high permeability intermittent new energy access power distribution network as claimed in claim 1, its
It is characterised by：The load equipment of the power distribution network is multiple load groups according to Topology partition, and each load group is respectively arranged with negative
Lotus group control system.
3. a kind of power demand side's management system of high permeability intermittent new energy access power distribution network as claimed in claim 1 or 2,
It is characterized in that：The load group control system is equivalent using big data analysis method progress broad sense battery, with calculated load group's
Regulating power.
4. a kind of power demand side's management system of high permeability intermittent new energy access power distribution network as claimed in claim 1 or 2,
It is characterized in that：The load group control system controls the load of different classifications using various control means respectively.
A kind of 5. dsm method of high permeability intermittent new energy access power distribution network, it is characterised in that including following step
Suddenly：
S1:Demand-side decision system is set in the response region of power network, the load of Demand Side Response will be participated in response region
Several loads group is divided into by topological structure, each load group sets a load group control system；
S2:Load group control system obtains the state of each load group, calculates the adjustability of each corresponding load group, and
It is uploaded to Demand-side decision system；
S3:Demand-side decision system is done periodic Demand-side and once managed and the Demand-side secondary management of triggering property；Demand-side
Once manage according to load prediction, generate electricity and predict, carry out rolling optimization by the cycle, generate electricity consumption plan, and according to load team control
The state for the load group that system uploads, by electricity consumption planned assignment to each load group；
S4:After load group control system receives electricity consumption plan, according to the part throttle characteristics and real-time status in load group, carry out excellent
Change and calculate, by electricity consumption planned assignment to each load, and control instruction is issued according to electricity consumption plan, target of hitting the target；
S5:It is Demand-side secondary management given threshold on the basis of Demand-side is once managed and completed, real-time monitored space
Domain power swing, when short-time rating fluctuation exceedes threshold value, start secondary management；
S6:All load groups for participating in secondary management are excluded, are filtered out in remaining load group and secondary management desired value
The load group most matched is responded, and issues control targe；
S7:After load group control system receives top level control target, respond at once, generate control instruction and issue, complete power
Adjust target.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710754662.1A CN107528347B (en) | 2017-08-29 | 2017-08-29 | High-permeability intermittent new energy access power distribution network demand side management system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710754662.1A CN107528347B (en) | 2017-08-29 | 2017-08-29 | High-permeability intermittent new energy access power distribution network demand side management system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107528347A true CN107528347A (en) | 2017-12-29 |
| CN107528347B CN107528347B (en) | 2020-12-08 |
Family
ID=60682658
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710754662.1A Active CN107528347B (en) | 2017-08-29 | 2017-08-29 | High-permeability intermittent new energy access power distribution network demand side management system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107528347B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111009926A (en) * | 2019-12-13 | 2020-04-14 | 国网辽宁省电力有限公司 | Clean energy consumption method and device based on cloud computing |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102723785A (en) * | 2012-07-03 | 2012-10-10 | 广东电网公司电力科学研究院 | Electric power load prediction method and electric power load prediction system based on collection of larger user intelligent terminal |
| CN104158289A (en) * | 2014-07-24 | 2014-11-19 | 许昌学院 | System and method for intelligent and progressive electricity utilization management based on intelligent and progressive utilization management device |
| US20150295402A1 (en) * | 2012-12-07 | 2015-10-15 | Battelle Memorial Institute | Method and system for using demand side resources to provide frequency regulation using a dynamic allocation of energy resources |
| CN105006843A (en) * | 2014-04-17 | 2015-10-28 | 国家电网公司 | Multi-time-scale flexible load scheduling method for handling wind power uncertainties |
| CN106203745A (en) * | 2016-08-19 | 2016-12-07 | 国电南瑞科技股份有限公司 | Distributed photovoltaic control system based on the many spaces of Multiple Time Scales and control method |
-
2017
- 2017-08-29 CN CN201710754662.1A patent/CN107528347B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102723785A (en) * | 2012-07-03 | 2012-10-10 | 广东电网公司电力科学研究院 | Electric power load prediction method and electric power load prediction system based on collection of larger user intelligent terminal |
| US20150295402A1 (en) * | 2012-12-07 | 2015-10-15 | Battelle Memorial Institute | Method and system for using demand side resources to provide frequency regulation using a dynamic allocation of energy resources |
| CN105006843A (en) * | 2014-04-17 | 2015-10-28 | 国家电网公司 | Multi-time-scale flexible load scheduling method for handling wind power uncertainties |
| CN104158289A (en) * | 2014-07-24 | 2014-11-19 | 许昌学院 | System and method for intelligent and progressive electricity utilization management based on intelligent and progressive utilization management device |
| CN106203745A (en) * | 2016-08-19 | 2016-12-07 | 国电南瑞科技股份有限公司 | Distributed photovoltaic control system based on the many spaces of Multiple Time Scales and control method |
Non-Patent Citations (3)
| Title |
|---|
| DANGE HUANG等: "Impacts of demand side management on bulk system reliability evaluation considering load forecast uncertainty", 《2011 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE》 * |
| 张树卿等: "区域综合负荷动态等值参数在线测辨关键技术", 《电力系统自动化》 * |
| 胡勇: "主动配电网用户侧能量管理系统设计与实现", 《电力系统保护与控制》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111009926A (en) * | 2019-12-13 | 2020-04-14 | 国网辽宁省电力有限公司 | Clean energy consumption method and device based on cloud computing |
| CN111009926B (en) * | 2019-12-13 | 2023-10-24 | 国网辽宁省电力有限公司 | Clean energy consumption method and device based on cloud computing |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107528347B (en) | 2020-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104377826B (en) | A kind of active distribution network control strategy and method | |
| CN102801790B (en) | Microgrid energy management system based on IEC (International Electrotechnical Commission) 61850 and multi-agent method | |
| CN107069776B (en) | Energy storage look-ahead distributed control method for smooth microgrid tie line power | |
| CN109103893A (en) | A kind of cluster temperature control load participates in the auxiliary frequency modulation method of power grid AGC | |
| CN104716693B (en) | The energy management method and controller, system of a kind of distributed energy storage battery | |
| CN104065168B (en) | A kind of dynamic frequency-conversion collecting method of wind-solar-storage joint generating state monitoring | |
| CN106655243B (en) | The automatic demand response method of electric car for the purpose of maintaining the micro-capacitance sensor equilibrium of supply and demand | |
| CN106505630B (en) | Isolated island micro-capacitance sensor frequency voltage control method for coordinating based on event trigger mechanism | |
| CN108039734B (en) | Renewable energy power generation power cluster control system and method | |
| CN103050989A (en) | Active power intelligent control system and method for cluster wind farm | |
| CN104158187B (en) | A kind of local power net energy and the control method of power secondary distribution and control system | |
| CN105703355B (en) | Diversity load grading self-discipline collaborative demand response method | |
| CN106384162B (en) | Consider electric system electric energy-spare joint optimal operation method of zonal reserve and N-1 verification | |
| CN106026198B (en) | The AGC coordinated control systems and control method that " wind-water " bundling is sent outside | |
| Xi et al. | A deep reinforcement learning algorithm for the power order optimization allocation of AGC in interconnected power grids | |
| CN106602613A (en) | Provincial and local two-level dispatching section coordination and control method | |
| Jordehi et al. | Heuristic methods for solution of FACTS optimization problem in power systems | |
| Zhang et al. | Fair energy resource allocation by minority game algorithm for smart buildings | |
| CN104300586B (en) | A kind of region intelligent control system and method suitable for photovoltaic power station | |
| CN108364084A (en) | A kind of BP neural network photovoltaic power prediction technique based on Theory of Information Fusion | |
| CN108876091A (en) | A kind of virtual plant realized based on software definition power grid | |
| CN106340893A (en) | Distributed photovoltaic power generation power control method based on virtual power plant | |
| CN107528347A (en) | A kind of power demand side's management system and method for high permeability intermittent new energy access power distribution network | |
| CN206164204U (en) | Optimizing system is united to initiative distribution network | |
| CN104124683B (en) | A kind of autonomous power system architectures and its progress control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Pan Shixiong Inventor after: Huang Yuhui Inventor after: Tang Tongfeng Inventor after: Li Haitao Inventor after: Liu Dong Inventor before: Pan Shixiong Inventor before: Huang Yuhui Inventor before: Tang Tongfeng Inventor before: Li Haitao Inventor before: Liu Dong |