CN105633954A - Multi-mode coordination switching control method of hybrid energy power generation system - Google Patents
Multi-mode coordination switching control method of hybrid energy power generation system Download PDFInfo
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Abstract
The invention provides a multi-mode coordination switching control method of a hybrid energy power generation system. Based on a two-layer distributed coordination control intelligent agent, event trigger multi-mode coordination switching control with higher reasonability and intelligence is constructed, so that the hybrid energy power generation system can intelligently switch modes inside each distributed power generation unit and switch the modes inside each distributed power generation unit in a coordination manner when facing natural condition change and greater load fluctuation, and renewable energy power generation is utilized as much as possible while the maintenance hinge node voltage is in a safe range, so that low-carbon economical efficiency of electric power supply is guaranteed.
Description
Technical field
The invention belongs to intelligent grid control field, especially relate to the multi-modal coordination method for handover control of a kind of energy mix electricity generation system.
Background technology
Electric power, as the energy lifeblood industry of modern society, is played an important role in energy-saving and emission-reduction and energy sustainable use. With informationization technology for relying on, adopt distributed generation technology, make full use of cleaning, regenerative resource, build energy mix generating system, the raising energy and environmental benefit to greatest extent, be the power industry Main Means that realizes low-carbon economy. And in order to realize safe and reliable and low-carbon economy target, energy mix electricity generation system needs the ability possessing " active admission renewable energy power generation, distribute multi-energy sources power generation, intelligent management Demand-side electricity consumption rationally ". And safeguard and promote this three aspects ability, rely on EMS to perform Real time optimal dispatch on the one hand, rely on local dynamically control of cellular system to regulate in real time on the other hand. Therefore at present most research concentrate on economic and environment-friendly in the energy-optimised problem of management of target and with safety and stability be target on the spot dynamically in control problem. But, the distributed generation unit of energy mix electricity generation system not only has various continuous dynamic behaviour, they also have the multimodal switchover behavior being interweaved, operational modal such as renewable energy power generation unit is limited by the random start and stop of natural conditions and usually triggers the conversion of relevant energy storage device charging, electric discharge and pattern out of service, these also can cause conventional motors stand-by heat significantly to switch to regulate and operation is moved back in the throwing of cold standby, results even in the switching behavior such as removal of load and load restoration of Demand-side. If multimodal switchover logical relation behind can effectively be utilized, enabling generator unit operational modal to coordinate switching, the security and stability of energy mix system power supply or even economy will increase substantially; Otherwise, if ignore or run counter to multi-modal between logical relation, the Supply Security of energy mix system will be on the hazard. Therefore, exploratory development energy mix electricity generation system multi-modal coordination switching control technology is most important.
Correlational study currently for energy mix electricity generation system multi-mode transition control is little, propose the event based on multiple agent for micro-capacitance sensor before the research team of inventor herein and trigger multi-modal coordination switching control [[1] Chun-xiaDou, BinLiu, JosepM.Guerrero, Event-triggeredhybridcontrolbasedonmulti-agentsystemform icrogrids, IETGeneration, Transmission&Distribution, 8 (12): 1987-1997, 2014], but in this study, when structure event triggers switchover policy, do not take into full account the Mode-switch time, switching interval and switching times, this is easily caused an event and can trigger several distributed power generation and switch simultaneously, even can continuous trigger switch, although switchover policy logic is reasonable not yet, but reality is difficult to carry out and realizes, because distributed generation unit Mode-switch not only needs necessarily to perform the time, it is also required to certain intervals.
Summary of the invention
Technical problem solved by the invention is in that to provide the multi-modal coordination method for handover control of a kind of energy mix electricity generation system, based on two-layer distributed and coordinated control intelligent body, build more reasonability and intelligent event and trigger multi-modal coordination switching control, enable the flexible restructuring of operational modal and the intelligence switching of energy mix electricity generation system each distributed generation unit under large disturbances, and then promote security and stability and the low-carbon economic of its supply of electric power.
The technical solution realizing the object of the invention is:
The multi-modal coordination method for handover control of a kind of energy mix electricity generation system, comprises the following steps:
Step 1: build two-layer distributed and coordinated control intelligent body, described two-layer distributed and coordinated control intelligent body is: in energy mix electricity generation system, each distributed generation unit is both provided with a unit switching control intelligent body, triggers multi-mode transition control for decision-making and the event within this distributed generation unit that performs; Switching control intelligent body is coordinated on the corresponding upper strata of all unit switching control intelligent bodies, and this upper strata is coordinated switching control intelligent body and triggered multi-modal coordination switching control for the event between decision-making distributed generation unit;
Step 2: on the basis of two-layer distributed and coordinated control intelligent body, the differential building energy mix electricity generation system mixes discrete parallel system DHPN model, and described DHPN model is by PD��TD��PDF��TDF��Pre��Pos���ӡ�MD0��ANNine are elementary composition, particularly as follows:
Distributed generation unit discrete storehouse institute PD, comprise the operational modal of each distributed generation unit;
Distributed generation unit discrete transition TD, the event comprising each distributed generation unit triggers operational modal switching behavior;
Distributed generation unit differential storehouse institute PDF, comprise the continuous dynamic behaviour of each distributed generation unit;
Distributed generation unit differential transition TDF, comprise the dynamic behaviour of each distributed generation unit;
Front arc function Pre, is defined as 1;
Rear arc function Pos, is defined as 1;
Time map ��, comprises the discrete transition of each distributed generation unit and the triggered time that differential transition are required;
The initial marking M of distributed generation unitD0, comprise the initial launch mode of each distributed generation unit;
Arc AN, And meet
Step 3: unit switching control Decision-making of Agent and the event within distributed generation unit that performs trigger multi-mode transition control, trigger the P in DHPN modelD��TD��PDF��TDFCorresponding transition are produced with ��;
Step 4: upper strata is coordinated the event between switching control Decision-making of Agent distributed generation unit and triggered multi-modal coordination switching control, is sent to each unit switching control intelligent body by interbehavior and performs, and trigger the P in DHPN modelD��TD��PDF��TDFCorresponding transition are produced with ��.
Further, the multi-modal coordination method for handover control of the energy mix electricity generation system of the present invention, described distributed generation unit includes cell generation unit, photovoltaic generation unit, micro-takes turns generator unit, fuel-cell generation unit, load generator unit, super capacitor generator unit and wind power generation unit, is utilized respectively conventional accumulators, solaode, micro-takes turns, fuel cell, load, super capacitor and wind-force generate electricity.
Further, the multi-modal coordination method for handover control of the energy mix electricity generation system of the present invention, the unit switching control Decision-making of Agent in described step 3 and the event within distributed generation unit that performs trigger multi-mode transition control, particularly as follows:
Step 3-1: the multimodal switchover characteristic according to each distributed generation unit, builds constraint violation function;
Step 3-2: corresponding each constraint violation function, unit switching control intelligent body designs according to the logical relation between each mode of distributed generation unit and performs mode switched control.
Further, the multi-modal coordination method for handover control of the energy mix electricity generation system of the present invention, upper strata in described step 4 is coordinated the event between switching control Decision-making of Agent distributed generation unit and is triggered multi-modal coordination switching control, and it is sent to the execution of each unit switching control intelligent body by interbehavior, particularly as follows:
Step 4-1: estimate index based on voltage security, it is proposed to unsafe incidents configuration anticipation;
Step 4-2: corresponding every kind of unsafe incidents configuration, upper strata is coordinated switching control intelligent body and is coordinated switching control according to the logic optimization relational design mode between distributed generation unit;
Step 4-3: mode is coordinated switching control by interbehavior and sent to unit switching control intelligent body by upper strata coordination switching control intelligent body;
Step 4-4: each unit switching control intelligent body performs corresponding coordination switching control.
Further, the multi-modal coordination method for handover control of the energy mix electricity generation system of the present invention, described interbehavior is particularly as follows: be non-principal and subordinate's interbehavior between ad eundem intelligent body, and it is principal and subordinate's interbehavior that unit switching control intelligent body and upper strata are coordinated between switching control intelligent body.
The present invention adopts above technical scheme compared with prior art, has following technical effect that
1, the present invention utilizes multi-agent Technology to build multi-modal coordination switching control strategy, under multi-agent Technology platform, each unit switching control intelligent body can not only independent decision-making and perform within mode switched control strategy, and then realize the control target of its safe operation, they also can adjust the decision-making of oneself by coordinating the interbehavior of switching control intelligent body with upper strata, the mode that multiple agent performs between each distributed generation unit intelligently under co-operating environment is made to coordinate switching control strategy, and then the safety realizing whole system controls target,
2, present invention proposition builds the event within distributed generation unit based on constraint violation function and triggers the method for designing of mode switched control, and then makes each distributed generation unit carry out intelligence switching according to Mode-switch logical relation with certain switching time, switching interval and transfer sequence;
3, the event that the present invention proposes to estimate index based on voltage and unsafe incidents anticipation builds between distributed generation unit triggers the method for designing that Mode-switch is coordinated to control and perform, and then makes all of distributed generation unit optimize logical relation with certain switching time, switching interval and transfer sequence to coordinate switching according to Mode-switch between them.
Accompanying drawing explanation
Fig. 1 is the multi-modal coordination method for handover control flow chart of the energy mix electricity generation system of the present invention;
Fig. 2 is the multi-modal coordination switching control structure chart of the energy mix electricity generation system of the present invention;
Fig. 3 is the multi-modal coordination switching control model of the energy mix electricity generation system of the present invention.
Detailed description of the invention
Being described below in detail embodiments of the present invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of same or like function from start to finish. The embodiment described below with reference to accompanying drawing is illustrative of, and is only used for explaining the present invention, and is not construed as limiting the claims.
The multi-modal coordination method for handover control flow chart of energy mix electricity generation system as shown in Figure 1, comprises the following steps:
Step 1: build two-layer distributed and coordinated control intelligent body, described two-layer distributed and coordinated control intelligent body is: in energy mix electricity generation system, each distributed generation unit is both provided with a unit switching control intelligent body, triggers multi-mode transition control for decision-making and the event within this distributed generation unit that performs; Switching control intelligent body is coordinated on the corresponding upper strata of all unit switching control intelligent bodies, and this upper strata is coordinated switching control intelligent body and triggered multi-modal coordination switching control for the event between decision-making distributed generation unit;
Step 2: on the basis of two-layer distributed and coordinated control intelligent body, the differential building energy mix electricity generation system mixes discrete parallel system DHPN model, and described DHPN model is by PD��TD��PDF��TDF��Pre��Pos���ӡ�MD0��ANNine are elementary composition, particularly as follows:
Distributed generation unit discrete storehouse institute PD, comprise the operational modal of each distributed generation unit;
Distributed generation unit discrete transition TD, the event comprising each distributed generation unit triggers operational modal switching behavior;
Distributed generation unit differential storehouse institute PDF, comprise the continuous dynamic behaviour of each distributed generation unit;
Distributed generation unit differential transition TDF, comprise the dynamic behaviour of each distributed generation unit;
Front arc function Pre, is defined as 1;
Rear arc function Pos, is defined as 1;
Time map ��, comprises the discrete transition of each distributed generation unit and the triggered time that differential transition are required;
The initial marking M of distributed generation unitD0, comprise the initial launch mode of each distributed generation unit;
Arc AN, And meet
Step 3: unit switching control Decision-making of Agent and the event within distributed generation unit that performs trigger multi-mode transition control, trigger the P in DHPN modelD��TD��PDF��TDFCorresponding transition are produced with ��;
Step 4: upper strata is coordinated the event between switching control Decision-making of Agent distributed generation unit and triggered multi-modal coordination switching control, is sent to each unit switching control intelligent body by interbehavior and performs, and trigger the P in DHPN modelD��TD��PDF��TDFCorresponding transition are produced with ��.
First, build two-layer multiple agent distributed and coordinated control scheme: namely in energy mix electricity generation system, each distributed generation unit connects a unit switching control intelligent body, this intelligent body triggers based on the constraint violation function of cellular system and performs the switching of this system operational modal, to guarantee its safe operation; And whole system is provided with a upper strata and coordinates switching control intelligent body, this intelligent body is based on security of system evaluation index, trigger and perform the coordination switching of operational modal between distributed generation unit, and then safeguard and promote Supply Security and the economy of whole system.
The multi-modal coordination switching control structure chart of energy mix electricity generation system as shown in Figure 2. In this energy mix system, each distributed generation unit system connects a unit switching control intelligent body, this intelligent body is responsible for the multi-mode transition control under decision-making and the triggering of performance element internal system event, it is therefore an objective to guarantee the safe operation of cellular system. The operational modal of such as wind power generation unit is limited by nature wind speed, namely when wind speed is lower than its intake velocity, wind-powered electricity generation is when being switched to stopping mode, when wind speed is higher than its intake velocity and goes out wind velocity lower than it, wind-powered electricity generation is when operating in MPPT maximum power point tracking (MPPT) mode, and when wind speed goes out wind velocity higher than it, wind-powered electricity generation is when being switched to constant power output mode, therefore the constraints according to wind speed, this unit intelligent body is responsible for decision-making and performs the switching of mode intelligence. More crucially, the switching of wind-powered electricity generation operational modal may cause the switching behaviors such as energy storage device the discharge and recharge even removal of load of workload demand side, and between these switching behaviors, need to follow certain logic optimization relation, just can ensure that security reliability or even low-carbon economic that whole system powers. Therefore, the present invention is provided with upper strata and coordinates switching control intelligent body, and the many distributed generation unit of primary responsibility include the coordination switching of operational modal between load cell, it is therefore an objective to guarantee safety and economy that whole system powers.
Unit switching control intelligent body is configured to have conversion zone and the mixed type intelligent body of review layer, and the change of running environment can quickly be made a response by conversion zone, thereby ensure that the adaptivity to environmental change; Distributed generation unit state processing can be knowledge information by review layer, and carry out decision-making intelligently with this and perform the internal mode switched control of distributed generation unit. It is knowledge information by total system state processing that switching control intelligent body is coordinated on upper strata, knowledge based information controls according to intelligent body safety again, decision coordination switching control intelligently, and be sent to unit switching control intelligent body, and then distributed generation unit is made to coordinate switching between operational modal. The multi-agent system that the present invention builds, it is principal and subordinate's interbehavior that upper strata is coordinated between switching control intelligent body and unit switching control intelligent body, namely the coordination switching control request that coordination switching control intelligent body in upper strata sends to unit switching control intelligent body has highest priority, moreover, by non-principal and subordinate's interbehavior between the intelligent body of each distributed generation unit, mutually coordinated, cooperate, and then making respective target and aims of systems be able to best realization, this also utilizes the reason place of the multi-modal coordination switching control of multiple agent Platform Designing just.
Second, the differential proposing energy mix electricity generation system mixes discrete parallel system DHPN model: DHPN model can not only state the continuous dynamic behaviour of each distributed generation unit in energy mix system, what is more important can state the logic switch relation between its multiple operational modal and mode, and this research is the model basis that the multi-modal coordination switching control strategy that structure event triggers provides necessity.
Needing to follow the behavioral trait of the multi-modal operation of distributed generation unit itself owing to structure event triggers multi-mode transition control, therefore first the energy mix electricity generation system being made up of each unit system shown in Fig. 2 is modeled, model is as shown in Figure 3.
This DHPN model is elementary composition by nine, respectively PD��TD��PDF��TDF��AN��Pre��Pos���ӡ�MD0, it is described in detail below:
PD��{P1,P2,...,P21For the discrete storehouse institute of cellular system, in order to describe its operational modal;
TD��{T1,T2,...,T34For the discrete transition of cellular system, in order to state its operational modal switching behavior triggered based on event;
PDF��{P1f,P2f,...,P7fFor the continuous storehouse institute of cellular system, in order to describe its continuous state;
TDF��{T1f,T2f,...,T10fChange continuously for cellular system, in order to state its continuous dynamic behaviour;
Make P=PD��PDF, T=TD��TDF, meet
Pre is front arc function, and all front arc functions are defined as " 1 " here;
Pos is rear arc function, and all rear arc functions are also defined as " 1 " here;
�ӡ�{dT1,dT2,...,dT34,dT1f,...,dT10fFor time map, in order to state the triggered time needed for these transition;
MD0��{M10,M20,...,M70It is seven cellular system initial markings, statement each unit system initial launch mode respectively.
In figure 3, the initial marking of each cellular system is the discrete storehouse institute with " stain ", and when operational modal switches, " stain " just the past storehouse is transferred in the rear storehouse institute of correspondence, with the be defined herein as logical one in storehouse of " stain ", it it is otherwise logical zero. Fig. 3 storehouse and the detailed description of transition in Table 1 to table 4.
Table 1: discrete storehouse description
Table 2: the description of discrete transition
Table 3: differential storehouse description
Table 4: the description of differential transition
Seen from the above description, DHPN model can not only describe the continuous dynamic behaviour of each distributed generation unit, also its multimodal switchover behavior can be stated, for this, design triggering event based on this model, make each distributed generation unit under the premise deferring to its Mode-switch behavioral trait, have interval, have and sequentially trigger corresponding mode transition, and then coordinate to switch its operational modal, it can be ensured that the safety powered with lifting whole system and economy.
DHPN model for electricity generation system, the present invention proposes two kinds of events and triggers switching controls: within (1) distributed generation unit based on constraint violation function (constraintviolationfunction, CVF) multi-mode transition control (internalswitchingcontrol triggered, ISC), use in figure 3Represent, unit switching control Decision-making of Agent perform; (2) index (securityassessmentindex is estimated based on safety between distributed generation unit, SAI) the multi-modal coordination switching control (coordinatedswitchingcontrol triggered, CSC), use in figure 3Represent, upper strata coordinate switching control Decision-making of Agent and be sent to the execution of unit switching control intelligent body.
3rd, it is proposed to the event within the cellular system of unit switching control Decision-making of Agent and execution triggers multi-mode transition control. First according to each distributed generation unit multimodal switchover characteristic, building the constraint violation function guaranteeing safe operation, namely when the constraints in this constraint violation function is run counter to, this function is enabled from original logical zero and becomes logical one; Then corresponding each constraint violation function designs mode switched control according to the logical relation between each mode of cellular system, namely when constraint violation function is enabled as " 1 ", corresponding mode switched control strategy is then activated, the mode transition corresponding by triggering its DHPN model, and then make each distributed generation unit carry out intelligence switching according to the Mode-switch logical relation set with certain switching time, switching interval and transfer sequence, to guarantee the safe operation of cellular system.
In photovoltaic (PV) cellular system, ISC design is as follows:
Assume t=t0Time, CVF:GingT () meets Ging(t)��C, then:
ISC(T11)=1 (t-t0)-1(t-t0-dT11)(1)
Wherein GingT () is illumination amplitude, C is threshold value, 1 (t-t0) for unit jump function.
This design is explained as follows: if t=t0Moment, GingT () meets Ging(t)��C, then corresponding ISC is activated to trigger transition T11, the triggered time is dT11, to such an extent as to this cellular system is switched to P6 from mode P7. (2) are similar to the explanation of (12) below, are not repeated.
Assume t=t0, CVF:GingT () meets Ging(t) > C, then:
ISC(T12)=1 (t-t0)-1(t-t0-dT12)(2)
In wind-powered electricity generation (WT) cellular system, ISC design is as follows:
Assume t=t0, CVF: �� (t) meets �� (t)�ܦ�ci, then:
ISC(T31)=1 (t-t0)-1(t-t0-dT31)(3)
Assume t=t0, CVF: �� (t) meets ��ci< �� (t)�ܦ�R, then:
ISC(T32)=1 (t-t0)-1(t-t0-dT32)(4)
Assume t=t0, CVF: �� (t) meets ��R< �� (t)�ܦ�co, then:
ISC(T29)=1 (t-t0)-1(t-t0-dT29)(5)
Assume t=t0, CVF: �� (t) meets �� (t) > ��co, then:
ISC(T34)=1 (t-t0)-1(t-t0-dT34)(6)
Assume t=t0, CVF: �� (t) meets ��R< �� (t)�ܦ�co, then:
ISC(T33)=1 (t-t0)-1(t-t0-dT33)(7)
Assume t=t0, CVF: �� (t) meets ��ci< �� (t)�ܦ�R, then:
ISC(T30)=1 (t-t0)-1(t-t0-dT30)(8)
Wherein, �� (t) is wind speed, ��ciIntake velocity, vcoFor going out wind velocity, ��RFor rated wind speed.
In battery cell system, ISC design is as follows:
Assume t=t0, CVF:SOC (t) meets SOC (t)��SOCmin, then:
ISC(T9)=1 (t-t0)-1(t-t0-dT9)(9)
Assume t=t0, CVF:SOC (t) meets SOC (t) >=SOCmax, then:
ISC(T10)=1 (t-t0)-1(t-t0-dT10)(10)
Wherein, SOC (t) is state of charge, SOCmaxAnd SOCminRespectively electric charge maximum and electric charge minima.
In super capacitor (UC) cellular system, ISC design is as follows:
Assume t=t0, CVF:U (t) meets U (t)��Umin, then:
ISC(T21)=1 (t-t0)-1(t-t0-dT21)(11)
Assume t=t0, CVF:U (t) meets U (t) >=Umax, then:
ISC(T24)=1 (t-t0)-1(t-t0-dT24)(12)
Wherein U (t) is super-capacitor voltage, UmaxAnd UminRespectively super-capacitor voltage maximum and minima.
4th, it is proposed to upper strata is coordinated the event between switching control Decision-making of Agent distributed generation unit and triggered multi-modal coordination switching control.
First the voltage security according to each pivot point of the whole network estimates index, it is proposed to unsafe incidents configuration anticipation, namely based on voltage security estimate index judge have unsafe incidents to occur time, this event functions is enabled from original logical zero and becomes logical one; Then corresponding each unsafe incidents configuration is coordinated to control according to the logic optimization relational design Mode-switch between each unit system, and namely when one group of event is enabled as " 1 ", corresponding mode is coordinated switching control and is then activated; Last by each unit switching control intelligent body execution corresponding each mode coordination switching control, namely when mode coordination switching control is activated, send corresponding control instruction to unit switching control intelligent body, trigger the mode transition of each unit system, and then make each distributed generation unit optimize logical relation with certain switching time, switching interval and transfer sequence to coordinate switching according to the Mode-switch set, to guarantee safety and the economy that whole system powers.
Design procedure is as follows:
Step 1, estimates index based on voltage security, provides unsafe incidents configuration pre-judging method.
(1) definition t PCC node voltage safety is estimated index and isIts minimum and maximum secure threshold respectively U1maxAnd U1min; Load bus isIts minimum and maximum secure threshold respectively U2maxAnd U2min;
(2) whenTime, it is defined as unsafe incidents E11T () occurs in advance;
WhenTime, it is defined as unsafe incidents E12T () occurs in advance;
WhenTime, it is defined as unsafe incidents E21T () occurs in advance;
WhenTime, it is defined as unsafe incidents E22T () occurs in advance.
(3) according to being defined above, in t, energy mix system is it may happen that following six kinds of unsafe incidents configurations:
E1(t)={ E11(t) };
E2(t)={ E12(t) };
E3(t)={ E21(t) };
E4(t)={ E22(t) };
E5(t)={ E11(t), E21(t) };
E6(t)={ E21(t), E22(t)}��
Step 2, corresponding each unsafe incidents Configuration Design event triggers multi-modal coordination switching control.
C(E1)=E1(t){P1(1(t-t0)-1(t-t0-dT5))+P2(1(t-t0)-1(t-t0-dT3))
+P4(1(t-t0)-1(t-t0-dT7))}+E1(t+��t){P8(1(t-t0-��t)
-1(t-t0-��t-dT13))+P10(1(t-t0-��t)-1(t-t0-��t-dT15))}(13)
+E1(t+2��t){P14(1(t-t0-2��t)-1(t-t0-2��t-dT25))
+P15(1(t-t0-2��t)-1(t-t0-2��t-dT22))}+P18(1(t-t0-2��t)
-1(t-t0-2��t-dT26))}
C(E2)=E2(t){P3(1(t-t0)-1(t-t0-dT6))+P2(1(t-t0)-1(t-t0-dT2))
+P5(1(t-t0)-1(t-t0-dT8))}+E2(t+��t){P9(1(t-t0-��t)
-1(t-t0-��t-dT14))+P11(1(t-t0-��t)-1(t-t0-��t-dT16))}(14)
+E2(t+2��t){P16(1(t-t0-2��t)-1(t-t0-2��t-dT27))
+P15(1(t-t0-2��t)-1(t-t0-2��t-dT20))}
+P17(1(t-t0-2��t)-1(t-t0-2��t-dT28))}
C(E3)=E3(t){P14(1(t-t0)-1(t-t0-dT25))+P15(1(t-t0)-1(t-t0-dT22))
+P18(1(t-t0)-1(t-t0-dT26))}+E3(t+��t){P1(1(t-t0-��t)
-1(t-t0-��t-dT5))+P2(1(t-t0-��t)-1(t-t0-��t-dT3))(15)
+P4(1(t-t0-��t)-1(t-t0-��t-dT7))}
+E3(t+2��t){P8(1(t-t0-2��t)-1(t-t0-2��t-dT13))
+P10(1(t-t0-2��t)-1(t-t0-2��t-dT15))}
C(E4)=E4(t){P15(1(t-t0)-1(t-t0-dT20))+P16(1(t-t0)-1(t-t0-dT27))
+P17(1(t-t0)-1(t-t0-dT28))}+E4(t+��t){P2(1(t-t0-��t)
-1(t-t0-��t-dT2))+P3(1(t-t0-��t)-1(t-t0-��t-dT6))(16)
+P5(1(t-t0-��t)-1(t-t0-��t-dT8))}
+E4(t+2��t){P9(1(t-t0-2��t)-1(t-t0-2��t-dT14))
+P11(1(t-t0-2��t)-1(t-t0-2��t-dT16))}
C(E5)=E5(t){P13(1(t-t0)-1(t-t0-dT18))}+E5(t+��t){P1(1(t-t0-��t)
-1(t-t0-��t-dT5))+P2(1(t-t0-��t)-1(t-t0-��t-dT3))
+P4(1(t-t0-��t)-1(t-t0-��t-dT7))}+E5(t+��t){P14(1(t-t0-��t)
-1(t-t0-��t-dT25))+P15(1(t-t0-��t)-1(t-t0-��t-dT22))(17)
+P18(1(t-t0-��t)-1(t-t0-��t-dT26))}
+E5(t+2��t){P8(1(t-t0-2��t)-1(t-t0-2��t-dT13))
+P10(1(t-t0-2��t)-1(t-t0-2��t-dT15))}
C(E6)=E6(t){P3(1(t-t0)-1(t-t0-dT6))+P2(1(t-t0)-1(t-t0-dT2))
+P5(1(t-t0)-1(t-t0-dT8))}+E6(t){P16(1(t-t0)-1(t-t0-dT27))
+P15(1(t-t0)-1(t-t0-dT20))+P17(1(t-t0)-1(t-t0-dT28))}(18)
+E6(t+��t){P9(1(t-t0-��t)-1(t-t0-��t-dT14))
+P11(1(t-t0-��t)-1(t-t0-��t-dT16))}
+E6(t+2��t){P12(1(t-t0-2��t)-1(t-t0-2��t-dT17))
Wherein C (Ei) it is corresponding EiCoordination switching control under the event triggering of (t), wherein, i �� 1,2 ..., 6}, �� t is the switching interval time.
Above-mentioned event is triggered multi-mode transition control and provides following description:
(1) at t=t0Moment, only EiWhen () unsafe incidents configuration estimates generation t, EiT () is just enabled and becomes logical one, otherwise EiT () is logical zero;
(2) at t=t0In the moment, only when the operational modal of distributed generation unit is Pi, Pi is just enabled and becomes logical one; Otherwise Pi is logical zero. So each distributed generation unit only one of which operational modal is logical one at any time, other is logical zero.
(3) any group of unsafe incidents configuration occurs, and corresponding mode is coordinated switching control and performed three switchings at most in order.
Step 3, mode is coordinated switching control by interbehavior and is sent to unit switching control intelligent body by upper strata coordination switching control intelligent body
Step 4, each unit switching control intelligent body performs corresponding each mode and coordinates switching control.
When any group of unsafe incidents configuration occurs, corresponding event triggers mode coordination switching control and is activated, and is responsible for being sent to each unit switching control intelligent body by upper strata coordination switching control intelligent body, and then unit switching control intelligent body performs switching. Each execution coordinating switching control strategy corresponding designs as follows:
IE1(T5)=IE1(T3)=IE1(T7)=IE1(T13)=IE1(T15)=IE1(T25)=IE1(T22)=IE1(T26)=C (E1)(19)
IE2(T6)=IE2(T2)=IE2(T8)=IE2(T14)=IE2(T16)=IE2(T27)=IE2(T20)=IE2(T28)=C (E2)(20)
IE3(T25)=IE3(T22)=IE3(T26)=IE3(T5)=IE3(T3)=IE3(T7)=IE3(T13)=IE3(T15)=C (E3)(21)
IE4(T20)=IE4(T27)=IE4(T28)=IE4(T2)=IE4(T6)=IE4(T8)=IE4(T14)=IE4(T16)=C (E4)(22)
IE5(T18)=IE5(T5)=IE5(T3)=IE5(T7)=IE5(T25)=IE5(T22)=IE5(T26)=IE5(T13)=IE5(T15)=C (E5)(23)
IE6(T6)=IE6(T2)=IE6(T8)=IE6(T27)=IE6(T20)=IE6(T28)=IE6(T14)=IE6(T16)=IE6(T17)=C (E6)(24)
It is designed as example, to performing to coordinate being explained as follows of switching control: work as t=t with formula (19)0If, E1Occur, the coordination switching control C (E under the triggering of this event1) be activated and be sent in the unit intelligent body needing switching; Then unit controls intelligent body according to C (E1) the optimization switch sequence that designs triggers corresponding transition T5��T3��T7��T13��T15��T25��T22And T26, make the mode of correspondence occur to coordinate switching. (20) similar to the explanation of (24), it is not repeated.
The method of the present invention is when in the face of natural conditions change and load fluctuation greatly, intelligence can switch the mode within each distributed generation unit, coordinate to switch the mode between each distributed generation unit, while safeguarding that pivot point voltage is in safety range, utilize renewable energy power generation as much as possible, it is ensured that the low-carbon economic of supply of electric power.
The above is only the some embodiments of the present invention, it is noted that for those skilled in the art, under the premise without departing from the principles of the invention, it is also possible to make some improvement, and these improvement should be regarded as protection scope of the present invention.
Claims (5)
1. the multi-modal coordination method for handover control of an energy mix electricity generation system, it is characterised in that comprise the following steps:
Step 1: build two-layer distributed and coordinated control intelligent body, described two-layer distributed and coordinated control intelligent body is: in energy mix electricity generation system, each distributed generation unit is both provided with a unit switching control intelligent body, triggers multi-mode transition control for decision-making and the event within this distributed generation unit that performs; Switching control intelligent body is coordinated on the corresponding upper strata of all unit switching control intelligent bodies, and this upper strata is coordinated switching control intelligent body and triggered multi-modal coordination switching control for the event between decision-making distributed generation unit;
Step 2: on the basis of two-layer distributed and coordinated control intelligent body, the differential building energy mix electricity generation system mixes discrete parallel system DHPN model, and described DHPN model is by PD��TD��PDF��TDF��Pre��Pos���ӡ�MD0��ANNine are elementary composition, particularly as follows:
Distributed generation unit discrete storehouse institute PD, comprise the operational modal of each distributed generation unit;
Distributed generation unit discrete transition TD, the event comprising each distributed generation unit triggers operational modal switching behavior;
Distributed generation unit differential storehouse institute PDF, comprise the continuous dynamic behaviour of each distributed generation unit;
Distributed generation unit differential transition TDF, comprise the dynamic behaviour of each distributed generation unit;
Front arc function Pre, is defined as 1;
Rear arc function Pos, is defined as 1;
Time map ��, comprises the discrete transition of each distributed generation unit and the triggered time that differential transition are required;
The initial marking M of distributed generation unitD0, comprise the initial launch mode of each distributed generation unit;
Arc AN, And meet
Step 3: unit switching control Decision-making of Agent and the event within distributed generation unit that performs trigger multi-mode transition control, trigger the P in DHPN modelD��TD��PDF��TDFCorresponding transition are produced with ��;
Step 4: upper strata is coordinated the event between switching control Decision-making of Agent distributed generation unit and triggered multi-modal coordination switching control, is sent to each unit switching control intelligent body by interbehavior and performs, and trigger the P in DHPN modelD��TD��PDF��TDFCorresponding transition are produced with ��.
2. the multi-modal coordination method for handover control of energy mix electricity generation system according to claim 1, it is characterized in that, described distributed generation unit includes cell generation unit, photovoltaic generation unit, micro-takes turns generator unit, fuel-cell generation unit, load generator unit, super capacitor generator unit and wind power generation unit, is utilized respectively conventional accumulators, solaode, micro-takes turns, fuel cell, load, super capacitor and wind-force generate electricity.
3. the multi-modal coordination method for handover control of energy mix electricity generation system according to claim 1, it is characterized in that, unit switching control Decision-making of Agent in described step 3 and the event within distributed generation unit that performs trigger multi-mode transition control, particularly as follows:
Step 3-1: the multimodal switchover characteristic according to each distributed generation unit, builds constraint violation function;
Step 3-2: corresponding each constraint violation function, unit switching control intelligent body designs according to the logical relation between each mode of distributed generation unit and performs mode switched control.
4. the multi-modal coordination method for handover control of energy mix electricity generation system according to claim 1, it is characterized in that, upper strata in described step 4 is coordinated the event between switching control Decision-making of Agent distributed generation unit and is triggered multi-modal coordination switching control, and it is sent to the execution of each unit switching control intelligent body by interbehavior, particularly as follows:
Step 4-1: estimate index based on voltage security, it is proposed to unsafe incidents configuration anticipation;
Step 4-2: corresponding every kind of unsafe incidents configuration, upper strata is coordinated switching control intelligent body and is coordinated switching control according to the logic optimization relational design mode between distributed generation unit;
Step 4-3: mode is coordinated switching control by interbehavior and sent to unit switching control intelligent body by upper strata coordination switching control intelligent body;
Step 4-4: each unit switching control intelligent body performs corresponding coordination switching control.
5. the multi-modal coordination method for handover control of the energy mix electricity generation system according to claim 1 or 4, it is characterized in that, described interbehavior is particularly as follows: be non-principal and subordinate's interbehavior between ad eundem intelligent body, and it is principal and subordinate's interbehavior that unit switching control intelligent body and upper strata are coordinated between switching control intelligent body.
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