CN105262143B - The photovoltaic source net control method for coordinating optimum based on regional economy and system - Google Patents
The photovoltaic source net control method for coordinating optimum based on regional economy and system Download PDFInfo
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- CN105262143B CN105262143B CN201510643421.0A CN201510643421A CN105262143B CN 105262143 B CN105262143 B CN 105262143B CN 201510643421 A CN201510643421 A CN 201510643421A CN 105262143 B CN105262143 B CN 105262143B
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Abstract
The invention discloses a kind of photovoltaic source net control method for coordinating optimum based on regional economy, it includes: step 1, determine the control area of photovoltaic source net coordinated control system；Step 2, the revenue source specified according to distribution type photovoltaic power generation device in control area, the type of controllable device and electrical network determine Optimum Economic object function；Step 3, according to weather forecast information, weather station in real time and historical information and photovoltaic generation in real time and historical information carry out the photovoltaic power generation output forecasting of following a day；Step 4, the photovoltaic power generation output forecasting described in economic constraint condition, electrical constraints condition and step 3 provided according to active distribution network EMS, carry out economic optimization control by the Optimum Economic object function of step 2 to control area；Prior art of having determined active distribution network adopt centralized solution dissolve on a large scale distributed energy generating exist communication pressure increase, control the problem such as time delay, optimized algorithm complication.
Description
Technical field
The invention belongs to the Coordinated Control of control area on the spot under the extensive active distribution network accessing distributed photovoltaic power generation unit, particularly relate to a kind of photovoltaic source net control method for coordinating optimum based on regional economy and system.
Background technology
Along with the attention degree of environmental conservation is constantly deepened by society and government, regenerative resource is subject to increasing attention, and photovoltaic generation accesses electrical network conveniently because of it, and installation is safeguarded and simply received more and more attention.At present, the solar electrical energy generation of China is mainly centralized photovoltaic generating system, and cost of electricity-generating is approximately 1.2 yuan/kWh, the coming years, China's solar electrical energy generation can be changed to distributed generation system by centralized photovoltaic generating system, and cost of electricity-generating also can be reduced to general 0.6 yuan/kWh.And passive power distribution network is more weak to the digestion capability of the intermittent energy TRTs such as distributed photovoltaic power generation at present, it is impossible to meet tomorrow requirement.
Distributed photovoltaic power generation unit generally has comparatively small-sized monitoring system, main purpose is to ensure that and site meets the standard that power distribution network accesses, can not with distribution network automated main website real-time Communication for Power, control mode is coarse, cannot ensure that Optimum Economic runs, and when distributed photovoltaic power generation accesses on a large scale, the reliable and stable operation of electrical network also cannot be ensured.Microgrid more advanced at present controls, owing to adopting the design principle of " plug and play ", simply achieve the optimized operation on the spot of imitative load method, calculating revenue scheme is single, it it is the transformation to power distribution network from below to up, can not realize controlling associating in logic with distribution automation system, dissolve the limited use of intermittent energy ability to improving power distribution network.
Active distribution network provides a solution for the distributed energy generating that solves to dissolve on a large scale on existing power distribution network basis, is utilize the measurement of advanced person, communication and control technology to carry out existing power distribution network intelligent actively changing transformation from top to down.When the communication terminal quantity accessed is too big, centralized optimal control can bring communication pressure to increase, control the problem such as time delay, optimized algorithm complication.
Summary of the invention
The technical problem to be solved in the present invention: a kind of photovoltaic source net control method for coordinating optimum based on regional economy and system are provided, with solve prior art active distribution network adopt centralized solution to dissolve on a large scale communication pressure that distributed energy generating exists increases, controls the problem such as time delay, optimized algorithm complication.
Technical solution of the present invention:
A kind of photovoltaic source net control method for coordinating optimum based on regional economy, it includes:
Step 1, determine the control area of photovoltaic source net coordinated control system；
Step 2, the revenue source specified according to distribution type photovoltaic power generation device in control area, the type of controllable device and electrical network determine Optimum Economic object function；
Step 3, according to weather forecast information, weather station in real time and historical information and photovoltaic generation in real time and historical information carry out the photovoltaic power generation output forecasting of following a day；
Step 4, the photovoltaic power generation output forecasting described in economic constraint condition, electrical constraints condition and step 3 provided according to active distribution network EMS, carry out economic optimization control by the Optimum Economic object function of step 2 to control area.
Control area described in step 1 is the on-site elimination region at distributed photovoltaic power generation group or distributed photovoltaic power generation station, on-site elimination region be have in 1 year 90% and the above time dissolve completely the region of distributed photovoltaic power generation EIAJ.
Optimum Economic object function expression formula described in step 2 is:
In formula: n is 24 hours interior optimization step numbers, s is present moment is one day which central step,For the step-length of kth step, A is the set of all users,For the set of the controllable device of i-th user,It is the electricity price of the jth equipment of the i-th user,Exist for i-th user's jth equipmentInterior mean power.
Described in step 3, photovoltaic power generation output forecasting expression formula is:
In formula:Unit be minute,For the error of photovoltaic real-time estimate in following i-th hour, m is that interior prediction in 24 hours is counted.
Economic constraint condition described in step 4 includes Spot Price information, and described electrical constraints condition includes active reactive constraint and spare capacity constraint.
Active distribution network EMS electrically connects with photovoltaic source net coordinated control system, and photovoltaic source net coordinated control system electrically connects with weather forecasting station and control zone device within the domain.
Described control zone device within the domain includes distributed photovoltaic power station, Intelligent housing unit, controllable burden, energy-storage battery, switching station terminal equipment DTU and electric automobile discharge and recharge stake.
The method have the benefit that
The present invention adopts one comparatively effective layering and zoning coordinated control mode.Coordinate in layering and zoning in control, all linked together by network although all of communication terminal includes active distribution network EMS, various control unit, measuring terminals, controllable device etc., but can according to the distribution situation of the structure of rack, communication terminal, mark off the comparatively independent control area of layering and zoning, realize zonal control, the present invention determines control area according to the scope of dissolving of distributed energy, it is to avoid control area divides situation unreasonable, that overlap each other in logic；The present invention can control various types of controllable device as required, by the assets belonging to different user that regulation or protocol integrated test system access；The present invention can by mutual with active distribution network EMS and other type control system information, it is thus achieved that the necessary information of power distribution network side, in conjunction with the attribute of local photovoltaic prediction and controllable device, region is controlled；The present invention can be each user's computing economy income according to different revenue sources, on fair basis, carries out Optimum Economic control with the economic well-being of workers and staff of each user optimum for target；Solve prior art active distribution network adopt centralized solution dissolve on a large scale distributed energy generating exist communication pressure increase, control the problem such as time delay, optimized algorithm complication.
Accompanying drawing explanation
Fig. 1 is present system structural representation.
Detailed description of the invention
A kind of photovoltaic source net control method for coordinating optimum based on regional economy, it includes:
Step 1, determine the control area of photovoltaic source net coordinated control system；Control area described in step 1 is the on-site elimination region at distributed photovoltaic power generation group or distributed photovoltaic power generation station, on-site elimination region be have in 1 year 90% and the above time dissolve completely the region of distributed photovoltaic power generation EIAJ；This control area can be passed through chopper and disconnect and external electrical network isolation, and using this or these chopper as the border of control area.This region include at least one power controllable pair as, include, without being limited to controlled photo-voltaic power generation station, energy-accumulating power station, controllable electric automobile charging pile, controllable intelligent home equipment, controllable burden, controllable reactive compensating apparatus etc..
Step 2, the revenue source specified according to distribution type photovoltaic power generation device in control area, the type of controllable device and electrical network determine Optimum Economic object function；
Optimum Economic object function expression formula described in step 2 is:
In formula: n is 24 hours interior optimization step numbers, s is present moment is one day which central step,For the step-length of kth step, A is the set of all users,For the set of the controllable device of i-th user,It is the electricity price of the jth equipment of the i-th user,Exist for i-th user's jth equipmentInterior mean power, generates electricity as just, and electricity consumption is negative.
Step 3, according to weather forecast information, weather station in real time and historical information and photovoltaic generation in real time and historical information carry out the photovoltaic power generation output forecasting of following a day；
Described photovoltaic real-time estimate information, according to weather forecast information, weather station in real time and historical information and photovoltaic generation in real time and historical information carry out the photovoltaic power generation output forecasting of following a day.Prediction error of exerting oneself is directly proportional to the poor size of predicted time, and the interval of photovoltaic power generation output forecasting is also poor to predicted time here is directly proportional, namely from present time more away from the predicting interval more big.Further, the time at night, at 20:00 to second day on the same day 6:00, power, it is believed that be 0, need not be predicted.Each hour interior predicted time interval from 6:00 to 20:00For:
Photovoltaic power generation output forecasting expression formula is:
In formula:Unit be minute,For the error of photovoltaic real-time estimate in following i-th hour, m is that interior prediction in 24 hours is counted.
Step 4, the photovoltaic power generation output forecasting described in economic constraint condition, electrical constraints condition and step 3 provided according to active distribution network EMS, carry out economic optimization control by the Optimum Economic object function of step 2 to control area.
The necessary information that this region of step active distribution network EMS is controlled, it is possible to be divided into economic restriction and electrical constraints.Economic restriction is Spot Price information, and electrical constraints is active reactive constraint, spare capacity constraint etc..These information are the bases that photovoltaic source net coordinated control system carries out regional economy optimum control.
Described in step 4, control area is carried out economic optimization control, be provide according to active distribution network EMS or active distribution network other control system constraints, controllable device self constraints, meet the power constraint condition etc. of trend balance, adopt Optimum Economic object function, photovoltaic power generation output forecasting according to step 3, the meritorious desired value of each controllable pair elephant in each optimization interval when drawing from present moment to 24.The error adopting the prediction of rolling optimization correction photovoltaic and constraints change etc. to bring, often walks optimization when all carrying out current time to the same day 24, it is ensured that optimize precision and effect.Being not related to economic well-being of workers and staff due to idle, retrain as long as idle control is met voltage, idle control can be taked simple two priority classes, the device priority that idle adjustable extent is more big is more high.
Active distribution network EMS is wirelessly or non-wirelessly connected with photovoltaic source net coordinated control system, and photovoltaic source net coordinated control system is wirelessly or non-wirelessly connected with weather forecasting station and control zone device within the domain.
The present invention utilize the communication technology of advanced person access a large amount of distribution type photovoltaic power generation devices on low and medium voltage distribution network and other controllable pairs as, by mutual with active distribution network EMS and other kinds of control system information, meeting on the basis of power distribution network stable operation, it is achieved the target of one's respective area economic optimum.
The active distribution network EMS of the present invention is prior art, it by the controllable pair in photovoltaic source net coordinated control system control area as being divided into Utilities Electric Co.'s assets and non-electricity corporate assets.To the controllable pair of Utilities Electric Co.'s assets as capacity big, quantity is few, and active distribution network EMS can to each controllable pair as being modeled；To the controllable pair of non-electricity corporate assets as, active distribution network EMS can according to the quantity accessing system controllable device, for the controllable pair in control area as carrying out Holistic modeling, classification model construction or modeling successively.Holistic modeling is applied to the situation that whole power distribution network controllable device is large number of, and all controllable devices in photovoltaic source net coordinated control system are modeled as a virtual controllable device；Classification model construction is that same type of controllable device is modeled as a virtual controllable device；Modeling is to be modeled respectively by all controllable devices successively.
To the control equipment belonging to Utilities Electric Co.'s assets, active distribution network EMS can provide meritorious or idle control target clear and definite in a period of time, and photovoltaic source net coordinated control system ensures that these control objects reach to control target within this time；To the control equipment being not belonging to Utilities Electric Co.'s assets, active distribution network EMS can provide the meritorious or idle span of control in a period of time, then give punishment electricity price or restriction online beyond this scope, photovoltaic source net is coordinated to control to carry out regional economy optimum control according to these constraintss.
Described control zone device within the domain includes distributed photovoltaic power station, Intelligent housing unit, controllable burden, energy-storage battery, switching station terminal equipment DTU, electric automobile discharge and recharge stake and other controllable devices.
Switch, bus and branch road electric parameters it is connected under DTU.
Claims (5)
1., based on the photovoltaic source net control method for coordinating that regional economy is optimum, it includes:
Step 1, determine the control area of photovoltaic source net coordinated control system；
Step 2, the revenue source specified according to distribution type photovoltaic power generation device in control area, the type of controllable device and electrical network determine Optimum Economic object function；
Step 3, according to weather forecast information, weather station in real time and historical information and photovoltaic generation in real time and historical information carry out the photovoltaic power generation output forecasting of following a day；
Step 4, the photovoltaic power generation output forecasting described in economic constraint condition, electrical constraints condition and step 3 provided according to active distribution network EMS, carry out economic optimization control by the Optimum Economic object function of step 2 to control area.
2. a kind of photovoltaic source net control method for coordinating optimum based on regional economy according to claim 1, it is characterized in that: control area described in step 1 is the on-site elimination region at distributed photovoltaic power generation group or distributed photovoltaic power generation station, on-site elimination region be have in 1 year 90% and the above time dissolve completely the region of distributed photovoltaic power generation EIAJ.
3. a kind of photovoltaic source net control method for coordinating optimum based on regional economy according to claim 1, it is characterised in that: the Optimum Economic object function expression formula described in step 2 is:
In formula: n is 24 hours interior optimization step numbers, s is present moment is one day which central step,For the step-length of kth step, A is the set of all users,For the set of the controllable device of i-th user,It is the electricity price of the jth equipment of the i-th user,Exist for i-th user's jth equipmentInterior mean power.
4. a kind of photovoltaic source net control method for coordinating optimum based on regional economy according to claim 1, it is characterised in that: described in step 3, photovoltaic power generation output forecasting expression formula is:
In formula:Unit be minute,For the error of photovoltaic real-time estimate in following i-th hour, m is that interior prediction in 24 hours is counted.
5. a kind of photovoltaic source net control method for coordinating optimum based on regional economy according to claim 1, it is characterized in that: economic constraint condition described in step 4 includes Spot Price information, described electrical constraints condition includes active reactive constraint and spare capacity constraint.
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| CN105790309A (en) * | 2016-04-26 | 2016-07-20 | 贵州电网有限责任公司 | Method of utilizing distributed energy and temporary additional electricity price to optimize control cooperatively |
| CN105894128A (en) * | 2016-04-26 | 2016-08-24 | 佛山电力设计院有限公司 | Method and system for regional energy prediction and prediction result real-time release |
| CN106410829B (en) * | 2016-06-16 | 2019-06-21 | 上海交通大学 | A kind of energy storage source net coordinated control system and method based on PREDICTIVE CONTROL |
| CN110877546B (en) * | 2019-11-01 | 2021-05-14 | 中国能源建设集团广东省电力设计研究院有限公司 | Weather prediction-based photovoltaic charging station charging control method and device |
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| CN102355057A (en) * | 2011-09-25 | 2012-02-15 | 国网电力科学研究院 | Computer monitoring method for microgrid system |
| CN103077429A (en) * | 2013-01-10 | 2013-05-01 | 华北电力大学 | Capacity-optimizing method of isolated micro-electrical network containing wind-solar electricity-generating and electric-automobile electricity-transforming station |
| CN104065101A (en) * | 2014-06-26 | 2014-09-24 | 华电电力科学研究院 | Distributed microgrid energy management system |
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| CN102355057A (en) * | 2011-09-25 | 2012-02-15 | 国网电力科学研究院 | Computer monitoring method for microgrid system |
| CN103077429A (en) * | 2013-01-10 | 2013-05-01 | 华北电力大学 | Capacity-optimizing method of isolated micro-electrical network containing wind-solar electricity-generating and electric-automobile electricity-transforming station |
| CN104065101A (en) * | 2014-06-26 | 2014-09-24 | 华电电力科学研究院 | Distributed microgrid energy management system |
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