CN102799208A - Photovoltaic power generation maximum power point tracking fuzzy proportion integration differentiation (PID) control method - Google Patents
Photovoltaic power generation maximum power point tracking fuzzy proportion integration differentiation (PID) control method Download PDFInfo
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Abstract
The invention discloses a photovoltaic power generation maximum power point tracking fuzzy proportion integration differentiation (PID) control method which is basically that the duty ratio of a Boost circuit is directly used as a control variable, the conventional PID control is added on the basis of fuzzy control, the fuzzy control is adopted to quickly response and adjust within a large deviation range, the conventional PID control is adopted to accurately adjust within a small deviation range, and two algorithms are switched in a threshold comparison mode. The method realizes both the accuracy and rapidity of photovoltaic power generation maximum power point tracking.
Description
Technical field
The present invention relates to photovoltaic generating system output power control technology field, particularly a kind of photovoltaic maximum power point is followed the tracks of fuzzy PID control method.
Background technology
Along with being on the rise of global energy crisis and environmental pollution, utilize existing limit resource, protection environment to become the focus that the whole world is paid close attention to effectively and reasonably.That solar energy power generating has is pollution-free, noiseless, advantage such as inexhaustible, nexhaustible, becomes one of focus of new forms of energy research.Yet solar photovoltaic assembly is a brute supply, and the change of illumination, temperature, load can cause that all the photovoltaic cell output power changes, and need carry out MPPT maximum power point tracking (MPPT) to it for effectively utilizing sun power.
Present known MPPT algorithm mainly contains fixed voltage method, disturbance observation, conductance increment method, fuzzy control method and neural network method etc.Simple and the realization easily of fixed voltage method, but ignored the influence of temperature to open-circuit voltage, so can not follow the tracks of maximum power point fully.Disturbance observation and conductance increment method are all the MPPT classic algorithm, but disturbance observation antijamming capability is relatively poor, and the erroneous judgement phenomenon takes place easily, and the control of conductance increment method is complicated, and is high to hardware requirement, needs high-precision A/D converter; Two kinds of algorithm keeps track step-lengths are provided with the dynamic and steady-state behaviour that size all can influence system, and difficulty finds equilibrium point; These characteristics have all limited two kinds of algorithm application.
Fuzzy control does not rely on the mathematical model of controlled device, can adjust dutycycle automatically according to the variable power amplitude, can effectively improve the capability of fast response that system changes with external environment condition, and can reduce near the vibration the maximum power point to a certain extent.But fuzzy control does not have integral element, and belonging to has difference control, and near the vibration maximum power point still exists., traditional PID controller control is incorporated in the middle of the fuzzy control for this reason, proposes the bimodulus Combination Control algorithm of fuzzy/PID control, two kinds of useful each other replenishing of algorithm then can realize the unification of control system rapidity and accuracy.
Summary of the invention
Deficiency to prior art; Technical matters to be solved by this invention is to propose a kind of photovoltaic maximum power point based on the dutycycle disturbance to follow the tracks of Fuzzy PID; Its basic skills be directly with Boost circuit dutycycle as control variable; On the fuzzy control basis, added traditional PID controller control; In the large deviation scope, adopt fuzzy control to respond adjustment fast, conventional PID control is adopted in the precision adjustment in little deviation range, and the mode of two kinds of algorithm passing thresholds comparison is switched.This method has realized having both of maximum power point of photovoltaic power generation system tracking accuracy and rapidity.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of photovoltaic maximum power point is followed the tracks of fuzzy PID control method; It is characterized in that; Directly with Boost circuit dutycycle as control variable, on the fuzzy control basis, added traditional PID controller control, in the large deviation scope, adopt fuzzy control to respond adjustment fast; Conventional PID control is adopted in precision adjustment in little deviation range, and the mode of two kinds of algorithm passing thresholds comparison is switched.
A kind of photovoltaic maximum power point is followed the tracks of fuzzy PID control method, and said fuzzy controller is observed ratio juris based on disturbance, according to the variable quantity of performance number and the dutycycle adjustment step-length of previous moment, decides the dutycycle adjustment step-length in this moment.
A kind of photovoltaic maximum power point is followed the tracks of fuzzy PID control method; Said threshold ratio switches to a switch function, and wherein k1, k2 are the fuzzy controller set and the switching threshold of PID controller, when satisfying k1＜dP/dD＜k2; Adopt PID control, adopt fuzzy control in addition.
Technique scheme has following beneficial effect: this scheme perception external environment rapidly changes; Follow the tracks of the photovoltaic cell maximum power point fast; Has good dynamic characteristics; Near the oscillatory occurences the maximum power point can be effectively eliminated in the PID control of introducing simultaneously, has improved system stability, and whole bimodulus control has realized having both of MPPT accuracy and rapidity.
Above-mentioned explanation only is the general introduction of technical scheme of the present invention, understands technological means of the present invention in order can more to know, and can implement according to the content of instructions, below with preferred embodiment of the present invention and conjunction with figs. specify as after.Embodiment of the present invention is provided by following examples and accompanying drawing thereof in detail.
Description of drawings
Fig. 1 is an embodiment of the invention fuzzy control system structural drawing.
Fig. 2 is an embodiment of the invention fuzzy controller schematic diagram.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are described in detail.
As shown in Figure 1; Provide photovoltaic maximum power point and follow the tracks of the fuzzy PID control method structural representation; When system works, judge according to current power value and dutyfactor value which workspace it operates in earlier, take algorithms of different to carry out tracking Control according to the different working district then.In the large deviation scope, adopt fuzzy control to respond adjustment fast, conventional PID control is adopted in the precision adjustment in little deviation range.Switch between two kinds of control modes through switch function, k1, k2 are the fuzzy controller set and the switching threshold of PID controller among the figure, when satisfying k1＜dP/dD＜k2, adopt PID control, adopt fuzzy control in addition.
Observe ratio juris based on disturbance,, decide the dutycycle adjustment step-length in this moment according to the variable quantity of performance number and the dutycycle adjustment step-length of previous moment.Get the output power that objective function is a photovoltaic cell, controlled quentity controlled variable is to be used for the dutycycle D of pwm signal of CS pipe.Fig. 2 is the fuzzy control principle block diagram, and the n of fuzzy self-optimizing control device input quantity constantly is n power variation E (n) and n-1 dutycycle step value S (n-1) constantly constantly, and n output quantity constantly is n dutycycle step value S (n) constantly.Ke, Ka are quantizing factor, are responsible for the actual value of power variation e (n) and dutycycle step-length s (n) is quantized to be mapped to fuzzy set domain E (n) and S (n).
With linguistic variable E, S is defined as 8 and 6 fuzzy subsets respectively, and wherein S (n-1) is identical with domain with S (n) variable subset, and is unified with its called after S.
E＝{NB，NM，NS，NO，PO，PS，PM，PB}
S＝{NB，NM，NS，PS，PM，PB}
Wherein NB, NM, NS, NO, PO, PS, PM, PB represent respectively negative big, negative in, negative little, negative 0, positive 0, just little, center, honest fuzzy concept.And their domains are defined as 14 and 12 grades, that is:
E＝{-6，-5，-4，-3，-2，-1，-0，+0，+1，+2，+3，+4，+5，+6}
S＝{-6，-5，-4，-3，-2，-1，+1，+2，+3，+4，+5，+6}
Confirming of fuzzy control subordinate function according to the characteristics of photovoltaic generating system, select the shape of triangle as membership function, and the curve distance initial point is near more, and curve is steep more, shows that its resolution is high more; Far away more apart from initial point, curve is slow more, shows that its resolution is low more.
Confirming of fuzzy decision table, the family curve analysis according between photovoltaic system output power P and the dutycycle D can obtain following principle: if output power increases, then continue to adjust direction to original step-length, otherwise get opposite direction; , adopt big step-length from maximum power point at a distance, near the maximum power point, adopt smaller step size, reduce hunting loss to accelerate tracking velocity; When factors such as temperature, intensity of illumination change when causing photovoltaic system power that bigger variation takes place, system can react rapidly.According to mentioned above principle, Application of I F E (n) AND S (n-1) THEN S (n) fuzzy rule obtains fuzzy reasoning table at last.
The ambiguity solution method is established; The normally fuzzy set or the subordinate function that obtain through fuzzy reasoning; And accurate controlled quentity controlled variable of needs in the working control; The accurate process of exporting of fuzzy output transformation one-tenth that fuzzy reasoning is obtained is exactly the ambiguity solution process, and the method for ambiguity solution has gravity model appoach, maximum membership degree method, the method for average, method of weighted mean etc., selects the gravity model appoach with degree of precision here for use.
Conventional PID control; Photovoltaic system MPPT adopts fuzzy control to have preferable response speed and adaptivity; But because photovoltaic system and fuzzy control, if only adopt FUZZY ALGORITHMS FOR CONTROL, then system is difficult to be stabilized on the maximum power point; When serious even vibrate, has bigger energy loss.For head it off, introduce traditional PID controller control on the basis of fuzzy control.
More than to the embodiment of the invention provided a kind of photovoltaic maximum power point follow the tracks of fuzzy PID control method and carried out detailed introduction; For one of ordinary skill in the art; According to the thought of the embodiment of the invention, the part that on embodiment and range of application, all can change, in sum; This description should not be construed as the restriction to invention, and all any changes of making according to design philosophy of the present invention are all within protection scope of the present invention.
Claims (3)
1. a photovoltaic maximum power point is followed the tracks of fuzzy PID control method; It is characterized in that; Directly with Boost circuit dutycycle as control variable, on the fuzzy control basis, added traditional PID controller control, in the large deviation scope, adopt fuzzy control to respond adjustment fast; Conventional PID control is adopted in precision adjustment in little deviation range, and the mode of two kinds of algorithm passing thresholds comparison is switched.
2. a kind of photovoltaic maximum power point according to claim 1 is followed the tracks of fuzzy PID control method; It is characterized in that; Said fuzzy controller is observed ratio juris based on disturbance; According to the variable quantity of performance number and the dutycycle adjustment step-length of previous moment, decide the dutycycle adjustment step-length in this moment.
3. a kind of photovoltaic maximum power point according to claim 1 is followed the tracks of fuzzy PID control method, it is characterized in that said threshold ratio switches to switch function, wherein a k
1, k
2Be the fuzzy controller of setting and the switching threshold of PID controller, when satisfying k
1＜dP/dD＜k
2The time, adopt PID control, adopt fuzzy control in addition.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103034250A (en) * | 2012-12-31 | 2013-04-10 | 青海骄阳新能源有限公司 | Maximum power point tracking (MPPT) control system and MPPT control method of modular photovoltaic array |
| CN103855716A (en) * | 2012-12-04 | 2014-06-11 | 天津市电力公司 | Intelligent FLC-PID mixed STATCOM control method |
| CN105610384A (en) * | 2016-01-11 | 2016-05-25 | 国网新疆电力公司电力科学研究院 | Control method for farmland photovoltaic power supply device |
| US9436201B1 (en) | 2015-06-12 | 2016-09-06 | KarmSolar | System and method for maintaining a photovoltaic power source at a maximum power point |
| CN106292829A (en) * | 2016-08-31 | 2017-01-04 | 杭州康奋威科技股份有限公司 | Solar energy photovoltaic system MPPT control method |
| CN106681424A (en) * | 2016-12-08 | 2017-05-17 | 苏州市职业大学 | System and method for controlling solar photovoltaic power generation MPPT |
| CN106873709A (en) * | 2017-03-17 | 2017-06-20 | 浙江大学 | A kind of MPPT methods of quick tracking photovoltaic maximum power point |
| CN107896357A (en) * | 2017-11-24 | 2018-04-10 | 江门市兰格电子有限公司 | A kind of intelligent sound console and its method for controlling volume |
| CN107957742A (en) * | 2017-10-20 | 2018-04-24 | 宝沃汽车（中国）有限公司 | Method of supplying power to, device, photovoltaic controller and the electric automobile of electric automobile |
| CN109638887A (en) * | 2019-01-10 | 2019-04-16 | 东莞市钜大电子有限公司 | A kind of the dead beat Fuzzy control system and control method of photovoltaic combining inverter |
| CN109753102A (en) * | 2017-11-01 | 2019-05-14 | 天津科技大学 | A kind of fuzzy MPPT control method of improved photovoltaic |
| CN111927811A (en) * | 2020-07-30 | 2020-11-13 | 长沙景嘉微电子股份有限公司 | Control method, device, terminal and medium for display card fan |
| CN113485478A (en) * | 2021-07-07 | 2021-10-08 | 维柯基科技(上海)有限公司 | Temperature control method, device and system of PCR amplification instrument, computer equipment and computer readable storage medium |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103855716A (en) * | 2012-12-04 | 2014-06-11 | 天津市电力公司 | Intelligent FLC-PID mixed STATCOM control method |
| CN103034250A (en) * | 2012-12-31 | 2013-04-10 | 青海骄阳新能源有限公司 | Maximum power point tracking (MPPT) control system and MPPT control method of modular photovoltaic array |
| US9436201B1 (en) | 2015-06-12 | 2016-09-06 | KarmSolar | System and method for maintaining a photovoltaic power source at a maximum power point |
| CN105610384A (en) * | 2016-01-11 | 2016-05-25 | 国网新疆电力公司电力科学研究院 | Control method for farmland photovoltaic power supply device |
| CN106292829A (en) * | 2016-08-31 | 2017-01-04 | 杭州康奋威科技股份有限公司 | Solar energy photovoltaic system MPPT control method |
| CN106681424A (en) * | 2016-12-08 | 2017-05-17 | 苏州市职业大学 | System and method for controlling solar photovoltaic power generation MPPT |
| CN106681424B (en) * | 2016-12-08 | 2018-04-10 | 苏州市职业大学 | A kind of solar energy power generating MPPT control systems and control method |
| CN106873709A (en) * | 2017-03-17 | 2017-06-20 | 浙江大学 | A kind of MPPT methods of quick tracking photovoltaic maximum power point |
| CN107957742A (en) * | 2017-10-20 | 2018-04-24 | 宝沃汽车（中国）有限公司 | Method of supplying power to, device, photovoltaic controller and the electric automobile of electric automobile |
| CN109753102A (en) * | 2017-11-01 | 2019-05-14 | 天津科技大学 | A kind of fuzzy MPPT control method of improved photovoltaic |
| CN107896357A (en) * | 2017-11-24 | 2018-04-10 | 江门市兰格电子有限公司 | A kind of intelligent sound console and its method for controlling volume |
| CN107896357B (en) * | 2017-11-24 | 2020-04-14 | 江门市兰格电子有限公司 | Intelligent sound console and volume control method thereof |
| CN109638887A (en) * | 2019-01-10 | 2019-04-16 | 东莞市钜大电子有限公司 | A kind of the dead beat Fuzzy control system and control method of photovoltaic combining inverter |
| CN111927811A (en) * | 2020-07-30 | 2020-11-13 | 长沙景嘉微电子股份有限公司 | Control method, device, terminal and medium for display card fan |
| CN111927811B (en) * | 2020-07-30 | 2022-06-24 | 长沙景嘉微电子股份有限公司 | Control method, device, terminal and medium for display card fan |
| CN113485478A (en) * | 2021-07-07 | 2021-10-08 | 维柯基科技(上海)有限公司 | Temperature control method, device and system of PCR amplification instrument, computer equipment and computer readable storage medium |
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