CN110929406A - Micro-market module operation model of comprehensive power demand side response processing system - Google Patents
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Abstract
The invention discloses a micro-market module operation model of a comprehensive power demand side response processing system, which is oriented to colleges and universities and comprises a data acquisition module, a standard power utilization load curve calculation module, a team quotation module group, an incentive policy determination module, an uncontrollable behavior module, a load calculation module and an electric charge calculation module; the data acquisition module is used for simulating the questionnaire survey process and outputting the working habits and work willingness adjustment of the user. The micro-market module operation model of the comprehensive power demand side response processing system ensures that the satisfaction degree of an electronic decision maker of a power consumption user cannot be reduced, the good feeling of the electronic decision maker to a user unit cannot be reduced, the working enthusiasm of the sub-decision maker cannot be reduced, the normal operation of the user unit can be ensured, the problem that the demand side response of part of current power consumption objects is not applicable or the effect is not good is solved, the demand side response degree can be improved and the power charge can be reduced under the condition that the normal operation of the power consumption user is not influenced.
Description
Technical Field
The invention relates to the field of power demand side response processing systems, in particular to a micro-market module operation model of a comprehensive power demand side response processing system.
Background
Demand Response (DR), which has evolved from DSM as power industry market evolution and power market construction, refers to the behavior of the Demand side to change its short term power consumption pattern consumption time or consumption level and long term power consumption pattern by responding to market-based price signals, incentives, or direct commands from the system operator. The traditional demand side response research has the following characteristics towards users: 1. the electricity user senses electricity price information; 2. the user paying the electricity charges is the electricity user. Therefore, the conventional demand-side response is not suitable for the user who pays the electricity fee who cannot fully grasp the electricity consumption behavior. Most public institutions, such as schools, office institutions and the like, do not bear the electricity charge by the sub-decision maker, and the dynamic electricity price cannot influence the electricity utilization behavior of the sub-decision maker, so that the method is not suitable for traditional demand side response. For example: the school needs to bear the electric power cost, but the electric load of the school is generated by the work of the internal staff members, and the school does not have the right of directly controlling the electric power consumption of the staff members, so the traditional demand side response is not suitable for the school. If the traditional demand-side strategy is applied to such objects, the load curve can only be changed by changing the controllable equipment, and the optimization effect is poor when the number of the controllable equipment is obviously larger than that of the controllable equipment. Therefore, the invention mainly researches how to mobilize the uncontrollable power utilization behavior to autonomously respond to the positivity of the demand side response.
Since schools do not have the right of directly controlling the power consumption of the staff of the professors, but the power consumption behavior can be actively changed by the sub-decision maker through a guiding policy, a small market environment, namely a micro-market, can be constructed in units with incompletely controllable power consumption behaviors. In the market environment, a unit leader issues a power utilization guidance policy, and a unit sub-decision maker decides whether to respond to the policy according to the content of the policy, namely whether to change the power utilization behavior according to the rules of a school and reports the response condition of the unit sub-decision maker. And the unit leader declares and reissues the financial reward condition according to the condition of the sub-decision maker, and the sub-decision maker meeting the corresponding condition enters the micro-market environment.
The most similar implementation scheme of the invention is as follows:
1. the electronic decision maker of the electricity user pays corresponding electricity cost by self and introduces the electricity price information to the level of the sub decision maker.
2. And evaluating the electricity utilization behavior of the electricity utilization user sub-decider, so that the sub-decider which responds to the demand side is rewarded, and the sub-decider which does not respond to the demand side is punished.
However, the above schemes 1 and 2 will cause the satisfaction of the sub-decider of the user using electricity to be reduced, reduce the good feeling of the user unit, reduce the working enthusiasm of the sub-decider, and be not beneficial to the normal operation of the user unit.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a micro-market module operation model of a comprehensive power demand side response processing system, which ensures that the satisfaction degree of an electricity user sub-decider cannot be reduced, the good feeling of the electricity user sub-decider to a user unit cannot be reduced, the working enthusiasm of the sub-decider cannot be reduced, the normal operation of the user unit can be ensured, the problems that the current part of electricity users are not suitable for response or have poor effect on demand side response are solved, the demand side response degree can be improved and the electricity charge can be reduced under the condition that the normal operation of the electricity users is not influenced, so that the problems in the background art are solved.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a micro-market module operation model of a comprehensive power demand side response processing system is oriented to colleges and universities and comprises a data acquisition module, a standard power consumption load curve calculation module, a team quotation module group, an incentive policy determination module, an uncontrollable behavior module, a load calculation module and an electric charge calculation module;
the data acquisition module is used for simulating a questionnaire investigation process and outputting the working habits and work willingness adjustment of a user;
the standard power consumption load curve calculation module is used for receiving the working habits of the users, adjusting the working willingness and the power price information, simulating the calculation process of the standard working probability curve of the colleges and universities and outputting the standard working probability curve of the colleges and universities; an optimization algorithm is adopted to simulate the calculation process of a standard working probability curve of colleges and universities, the optimization target is the lowest electricity charge under the standard working probability curve, and the optimization target is shown in the following formula:
wherein: loadt,sLoad, Price, of a certain team of type s at time ttAt the price of electricity for time t, prot,sThe probability of an individual in a team of type s arriving at the study room at time t, taken as 0 or 1, Pt,sLoad in the research room at time t, N, generated by individuals in a team of type st,sA certain team headcount of type s, DrNumber of devices, LD, in a team's research room of type sr,sPower of the r-th device in a certain team's research room of type s;
the constraint is shown in the following formula, which respectively represents that the workload under the standard work probability curve should be equal to the initial workload and the standard work probability curve should not exceed the maximum work willingness of teachers and students in questionnaires;
prot,s≤pro_maxt,s
the team quotation module group is used for receiving a standard working probability curve of colleges and universities issued by colleges and universities, simulating the calculation of response conditions of a team consisting of the sub-decision makers to the team, and outputting the response conditions of the team to the team;
the incentive policy determination module is used for receiving the response condition of the team to the standard working probability curve of the colleges and universities, simulating the college incentive policy making process and outputting an initial college incentive policy;
the uncontrollable behavior module is used for receiving a college reward policy, simulating the working condition of the user represented by the uncontrollable behavior module under the reward policy and outputting the research working behavior of the user; the operation principle is shown in the following formula, the initial working condition of each team under the condition without the reward policy is calculated in the same way, and the initial research working behavior of the team is output;
Xijknumber num of the course of the kth class in the ith classrooms,zFun (X) as the total number of z teams of type sijk0), t, s, z) is the number of persons in class at time t who output team z of type s, sub is a subsidy of the incentive policy of colleges and universities, subs,zResponse price condition submitted for team z of type s, ft,s,z(sub) the number of people in the study room at time t for team z of type s, At,sPopulation arrival rate at time t for a team z of type s at the study;
the load calculation module is used for receiving the research work behavior of the user, simulating the research power utilization condition of the user represented by the load calculation module under the work behavior of the user, and outputting a power utilization load curve of the user; similarly, the research power utilization condition of each team under the initial research work behavior is calculated, the initial power utilization load curve of each team is output, typical power utilization equipment of a research room comprises an air conditioner, a lamp and experimental equipment, the load calculation is carried out by taking the air conditioner as an example, and a load calculation model is as follows:
wherein: p is the air conditioning power, Q0Generating cold for the air conditioner, COP is the energy efficiency ratio of the air conditioner, K is the correction coefficient, QTTotal heat in the classroom, QWFor heat transmitted through the wall, QGFor heat transferred through the glass, QPFor heat dissipation of the human body, QsHeat generated for various apparatus, KWIs the wall heat transfer coefficient, SWIs the wall area, TOIs the outdoor temperature, TIIs the room temperature, KGIs the heat transfer coefficient of the glass, SGIs the area of the glass;
the electric charge calculation module is used for receiving the electric load curve and the electric price information of the user, simulating the research electric charge calculation process represented by the module and outputting the research electric charge of the user; the initial research total electric charge of colleges and universities is calculated by the same method according to the following formula;
load_init,sinitial load, generated for a team of type s at time tt,sLoad generated at time t after participation in a college incentive policy for a team of type s, CostnewFor the Total Electricity fee of colleges and universities under this reward policy, CostiniThe initial college total electricity charge;
the incentive policy adjustment quantity judging module is used for receiving the initial electric charge of a user under the incentive-free policy and the electric charge of the user under the incentive policy and simulating the corresponding strategy making process of colleges and universities; if the judgment is unreasonable, outputting an excitation policy adjustment amount as the input of an excitation policy determination module; if the judgment is reasonable, outputting a final incentive policy as the input of an uncontrollable behavior module of the power consumer demand side response analysis and processing system; see the following equation:
sub' is the reward subsidy price drawn up by colleges and sub is the actual reward subsidy price in colleges and universities, nums,zZ number of people in team of type s;
judging conditions of the excitation policy adjustment quantity judging module are shown in the following two formulas, if the former formula is satisfied, the excitation policy adjustment quantity is not satisfied, if the latter formula is not satisfied, the excitation policy adjustment quantity is output to the excitation policy determining module as positive feedback, and the excitation policy is recalculated; if yes, outputting a final incentive policy;
sub′＝sub
Δsub＝sub-sub′
the working principle of the college market inspection mechanism is shown in the following formula:
Load_realt,s,zKP is the penalty multiple for the actual load produced by a team z of type s at time t.
Preferably, the response condition may be a monetary reward.
Preferably, the initial college reward policy may be to divide 80% of the electricity saving fee of colleges and universities equally to the effective teams participating in the market.
Preferably, the electricity price information adopts electricity price information published by a local power grid of colleges and universities.
Preferably, the users in the data acquisition module refer to teachers and students in high schools.
Preferably, the micro-market module operation model can also be applied to other utilities with incompletely controllable electricity consumption behaviors.
Preferably, the incentive policy of the incentive policy determination module may be arbitrarily set by a user.
(III) advantageous effects
The invention provides a micro-market module operation model of a comprehensive power demand side response processing system, which has the following beneficial effects:
1. the method is carried out on the premise that the user sub-decider autonomously changes the electricity utilization behavior, if the user sub-decider does not want to respond to the user unit incentive policy, the original electricity utilization behavior can be kept without any punishment, and therefore the working enthusiasm of the user is not reduced. The invention can ensure that the satisfaction of the electronic decision maker of the electricity utilization user can not be reduced, the good feeling of the electronic decision maker to the user unit can not be reduced, the working enthusiasm of the electronic decision maker can not be reduced, and the normal operation of the user unit can be ensured;
2. the problem of present part power consumption object demand side response be not suitable for or the effect is not good is solved, can be satisfying not influencing under the normal operation condition of power consumption user, improve demand side response degree, reduce the charges of electricity to reach following mesh: (1) the electric charge paid by the user is reduced, and meanwhile, the job work of the user is not influenced; (2) the power load curve is smoothed, the power supply and demand contradiction is relieved, the safe and stable operation of a power grid is supported, and the efficiency and the utilization rate of a power system are improved; (3) the investment and construction of the power plant are reduced, and the financial pressure of the government is relieved.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a diagram of electricity price information according to the present invention;
FIG. 3 is a graph of the probability of the standard operation of the colleges and universities of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a micro-market module operation model of a comprehensive power demand side response processing system is oriented to colleges and universities and comprises a data acquisition module, a standard power consumption load curve calculation module, a team quotation module group, an incentive policy determination module, an uncontrollable behavior module, a load calculation module and a power charge calculation module, and the micro-market module operation model can also be applied to other undercontrollable careers of power consumption behaviors;
the data acquisition module is used for simulating the questionnaire investigation process and outputting working habits and work adjustment willingness of teachers and students. For example: what time period will work in the research room? What time period to go to the laboratory for the experiment? What motivational conditions may prompt the teacher, student to change his working hours, etc.;
the standard working probability curve calculation module is used for receiving working habits of teachers and students and adjusting working willingness and electricity price information, the electricity price information adopts electricity price information published by a local power grid of colleges and universities, a standard working probability curve calculation process of the colleges and universities is simulated, and a standard working probability curve of the colleges and universities is output, and is shown in fig. 2 and fig. 3. The invention adopts an optimization algorithm to simulate the calculation process of a standard working probability curve of colleges and universities, the optimization target is that the electricity charge under the standard working probability curve is lowest, see formula (1), the optimization constraint is seen in formulas (2) and (3), the formula (2) shows that the workload under the standard working probability curve is equal to the initial workload, and the formula (3) shows that the standard working probability curve does not exceed the maximum working willingness of teachers and students in questionnaire survey.
Wherein: loadt,sLoad, Price, of a certain team of type s at time ttAt the price of electricity for time t, prot,sThe probability of an individual in a team of type s arriving at the study room at time t, taken as 0 or 1, Pt,sLoad in the research room at time t, N, generated by individuals in a team of type st,sA certain team headcount of type s, DrNumber of devices, LD, in a team's research room of type sr,sPower of the r-th device in a certain team's research room of type s.
prot,s≤pro_maxt,s(3)
The team quotation module group is used for receiving the standard working probability curve of colleges and universities issued by the colleges and universities, simulating the calculation of the response condition of each team to the team, and outputting the response condition of the team to the team, such as monetary reward.
The incentive policy determining module is used for receiving the response condition of the team to the standard working probability curve of colleges and universities, simulating the process of formulating the incentive policy of colleges and universities, and outputting the initial incentive policy of colleges and universities, wherein the incentive policy of the incentive policy determining module can be formulated by the user at will. For example, 80% of the electricity saving fees of colleges and universities are equally distributed to the effective teams participating in the market.
The uncontrollable behavior module in the power consumer demand side response analysis and processing system is used for receiving a college reward policy, simulating the working condition of each team under the reward policy by the uncontrollable behavior module, outputting the research working behavior of the team, and the operation principle is shown in a formula (4). And similarly, calculating the initial working condition of each team under the condition of no reward policy, and outputting the initial research working behavior of the team.
XijkNumber num of the course of the kth class in the ith classrooms,zFun (X) as the total number of z teams of type sijk0), t, s, z) is the number of persons in class at time t who output team z of type s, sub is a subsidy of the incentive policy of colleges and universities, subs,zResponse price condition submitted for team z of type s, ft,s,z(sub) the number of people in the study room at time t for team z of type s, At,sPopulation arrival rate at time t for the study for team z of type s.
The load calculation module is used for receiving the research work behaviors of the teams, simulating the research power utilization condition of each team under each team work behavior represented by the load calculation module, and outputting the power utilization load curve of each team. And similarly, calculating the research power utilization condition of each team under the initial research working behavior, and outputting the initial power utilization load curve of each team. Typical electric equipment in a research room comprises an air conditioner, a lamp, experimental equipment and the like, wherein the air conditioner is taken as an example to perform load calculation, and the load calculation model is as shown in formula (5):
wherein: p is the air conditioning power, Q0Generating cold for the air conditioner, COP is the energy efficiency ratio of the air conditioner, K is the correction coefficient, QTTotal heat in the classroom, QWFor heat transmitted through the wall, QGFor heat transferred through the glass, QPFor heat dissipation of the human body, QsHeat generated for various apparatus, KWIs the wall heat transfer coefficient, SWIs the wall area, TOIs the outdoor temperature, TIIs the room temperature, KGIs the heat transfer coefficient of the glass, SGIs the glass area.
And the electric charge calculation module is used for receiving the electric load curves and the electric price information of each team, simulating the research electric charge calculation process represented by the module and outputting the research total electric charge of colleges and universities, which is shown in a formula (6). And calculating the initial research total electricity charge of the colleges and universities in the same way.
load_init,sInitial load, generated for a team of type s at time tt,sLoad generated at time t after participation in a college incentive policy for a team of type s, CostnewFor the Total Electricity fee of colleges and universities under this reward policy, CostiniIs the initial college total electricity fee.
The incentive policy adjustment amount judgment module is used for receiving the initial electric charge of the user under the incentive-free policy and the electric charge of the user under the incentive policy and simulating the policy revision process represented by the module. If 80% of the electricity-saving fee is not enough to support the reward policy, outputting an incentive policy adjustment amount as an input of an incentive policy determination module; if 80% of the saved electric charge is judged to be insufficient to support the reward policy, a final incentive policy is output and used as the input of the uncontrollable behavior module of the response analysis and processing system on the demand side of the power consumer, and the formula (7) is shown.
sub' is the reward subsidy price drawn up by colleges and sub is the actual reward subsidy price in colleges and universities, nums,zZ population of team of type s.
Judging condition expressions of the excitation policy adjustment quantity judging module, if the judgment condition expressions satisfy the formula (8), outputting the excitation policy adjustment quantity as a positive feedback to the excitation policy determining module if the judgment condition expressions do not satisfy the formula (9), and recalculating the excitation policy; if yes, outputting the final incentive policy.
sub′＝sub (8)
Δsub＝sub-sub′ (9)
The working principle of the college market inspection mechanism is shown in formula (10).
Load_realt,s,zKP is the penalty multiple for the actual load produced by a team z of type s at time t.
In summary, in the micro-market module operation model of the integrated power demand side response processing system, when the micro-market module operation model is used, the data acquisition module is used for simulating a questionnaire investigation process and outputting the working habits and work willingness adjustment of a user; the standard power consumption load curve calculation module is used for receiving the working habits of users, adjusting the working willingness and the power price information, simulating the unit standard working probability curve calculation process and outputting a unit standard working probability curve; the team quotation module group is used for receiving a unit standard work probability curve issued by a unit, simulating the calculation of the response condition of a team consisting of the sub-decision makers to the team, and outputting the response condition of the team to the team; the incentive policy determining module is used for receiving the response condition of the team to the unit standard work probability curve, simulating the unit incentive policy making process and outputting the unit incentive policy; the uncontrollable behavior module is used for receiving a unit reward policy, simulating the working condition of the user represented by the module under the reward policy and outputting the research working behavior of the user; the load calculation module is used for receiving the research work behavior of the user, simulating the research power utilization condition of the user represented by the load calculation module under the work behavior of the user, and outputting a power utilization load curve of the user; the electric charge calculation module is used for receiving the electric load curve and the electric price information of the user, simulating the research electric charge calculation process represented by the module and outputting the research electric charge of the user; the incentive policy adjustment amount judgment module is used for receiving the initial electric charge of a user under the incentive-free policy and the electric charge of the user under the incentive policy and simulating the corresponding countermeasure making process of a unit; if the judgment is unreasonable, outputting an excitation policy adjustment amount as the input of an excitation policy determination module; and if the judgment is reasonable, outputting a final incentive policy as the input of an uncontrollable behavior module of the power consumer demand side response analysis and processing system. The method is carried out on the premise that the user sub-decider autonomously changes the electricity utilization behavior, if the user sub-decider does not want to respond to the user unit incentive policy, the original electricity utilization behavior can be kept without any punishment, and therefore the working enthusiasm of the user is not reduced. The invention can ensure that the satisfaction of the electronic decision maker of the electricity utilization user can not be reduced, the good feeling of the electronic decision maker to the user unit can not be reduced, the working enthusiasm of the electronic decision maker can not be reduced, and the normal operation of the user unit can be ensured; the problem of present part power consumption object demand side response be not suitable for or the effect is not good is solved, can be satisfying not influencing under the normal operation condition of power consumption user, improve demand side response degree, reduce the charges of electricity to reach following mesh: (1) the electric charge paid by the user is reduced, and meanwhile, the job work of the user is not influenced; (2) the power load curve is smoothed, the power supply and demand contradiction is relieved, the safe and stable operation of a power grid is supported, and the efficiency and the utilization rate of a power system are improved; (3) the investment and construction of the power plant are reduced, and the financial pressure of the government is relieved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation. The element defined by the sentence "comprising one.. said, does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element, the electrical elements presented therein are all electrically connected to an external master and 220V mains, and the master may be a conventionally known apparatus, such as a computer, which acts as a control.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a synthesize electric power demand side response processing system's micro-market module operation model, this model is towards colleges and universities, its characterized in that: the system comprises a data acquisition module, a standard power utilization load curve calculation module, a team quotation module group, an incentive policy determination module, an uncontrollable behavior module, a load calculation module and an electric charge calculation module;
the data acquisition module is used for simulating a questionnaire investigation process and outputting the working habits and work willingness adjustment of a user;
the standard power consumption load curve calculation module is used for receiving the working habits of the users, adjusting the working willingness and the power price information, simulating the calculation process of the standard working probability curve of the colleges and universities and outputting the standard working probability curve of the colleges and universities; an optimization algorithm is adopted to simulate the calculation process of a standard working probability curve of colleges and universities, the optimization target is the lowest electricity charge under the standard working probability curve, and the optimization target is shown in the following formula:
wherein: loadt,sLoad, Price, of a certain team of type s at time ttAt the price of electricity for time t, prot,sThe probability of an individual in a team of type s arriving at the study room at time t, taken as 0 or 1, Pt,sLoad in the research room at time t, N, generated by individuals in a team of type st,sA certain team headcount of type s, DrNumber of devices, LD, in a team's research room of type sr,sPower of the r-th device in a certain team's research room of type s;
the constraint is shown in the following formula, which respectively represents that the workload under the standard work probability curve should be equal to the initial workload and the standard work probability curve should not exceed the maximum work willingness of teachers and students in questionnaires;
prot,s≤pro_maxt,s
the team quotation module group is used for receiving a standard working probability curve of colleges and universities issued by colleges and universities, simulating the calculation of response conditions of a team consisting of the sub-decision makers to the team, and outputting the response conditions of the team to the team;
the incentive policy determination module is used for receiving the response condition of the team to the standard working probability curve of the colleges and universities, simulating the college incentive policy making process and outputting an initial college incentive policy;
the uncontrollable behavior module is used for receiving a college reward policy, simulating the working condition of the user represented by the uncontrollable behavior module under the reward policy and outputting the research working behavior of the user; the operation principle is shown in the following formula, the initial working condition of each team under the condition without the reward policy is calculated in the same way, and the initial research working behavior of the team is output;
Xijknumber num of the course of the kth class in the ith classrooms,zFun (X) as the total number of z teams of type sijk0), t, s, z) is the number of persons in class at time t who output team z of type s, sub is a subsidy of the incentive policy of colleges and universities, subs,zResponse price condition submitted for team z of type s, ft,s,z(sub) the number of people in the study room at time t for team z of type s, At,sPopulation arrival rate at time t for a team z of type s at the study;
the load calculation module is used for receiving the research work behavior of the user, simulating the research power utilization condition of the user represented by the load calculation module under the work behavior of the user, and outputting a power utilization load curve of the user; similarly, the research power utilization condition of each team under the initial research work behavior is calculated, the initial power utilization load curve of each team is output, typical power utilization equipment of a research room comprises an air conditioner, a lamp and experimental equipment, the load calculation is carried out by taking the air conditioner as an example, and a load calculation model is as follows:
wherein: p is the air conditioning power, Q0Generating cold for the air conditioner, COP is the energy efficiency ratio of the air conditioner, K is the correction coefficient, QTTotal heat in the classroom, QWFor heat transmitted through the wall, QGFor heat transferred through the glass, QPFor heat dissipation of the human body, QsHeat generated for various apparatus, KWIs the wall heat transfer coefficient, SWIs the wall area, TOIs the outdoor temperature, TIIs the room temperature, KGIs the heat transfer coefficient of the glass, SGIs the area of the glass;
the electric charge calculation module is used for receiving the electric load curve and the electric price information of the user, simulating the research electric charge calculation process represented by the module and outputting the research electric charge of the user; the initial research total electric charge of colleges and universities is calculated by the same method according to the following formula;
load_init,sinitial load, generated for a team of type s at time tt,sLoad generated at time t after participation in a college incentive policy for a team of type s, CostnewFor the Total Electricity fee of colleges and universities under this reward policy, CostiniThe initial college total electricity charge;
the incentive policy adjustment quantity judging module is used for receiving the initial electric charge of a user under the incentive-free policy and the electric charge of the user under the incentive policy and simulating the corresponding strategy making process of colleges and universities; if the judgment is unreasonable, outputting an excitation policy adjustment amount as the input of an excitation policy determination module; if the judgment is reasonable, outputting a final incentive policy as the input of an uncontrollable behavior module of the power consumer demand side response analysis and processing system; see the following equation:
sub' is the reward subsidy price drawn up by colleges and sub is the actual reward subsidy price in colleges and universities, nums,zZ number of people in team of type s;
judging conditions of the excitation policy adjustment quantity judging module are shown in the following two formulas, if the former formula is satisfied, the excitation policy adjustment quantity is not satisfied, if the latter formula is not satisfied, the excitation policy adjustment quantity is output to the excitation policy determining module as positive feedback, and the excitation policy is recalculated; if yes, outputting a final incentive policy;
sub′＝sub
Δsub＝sub-sub′
the working principle of the college market inspection mechanism is shown in the following formula:
Load_realt,s,zKP is the penalty multiple for the actual load produced by a team z of type s at time t.
2. The micro-market modular operational model of an integrated power demand side response processing system of claim 1, wherein: the response condition may be a monetary reward.
3. The micro-market modular operational model of an integrated power demand side response processing system of claim 1, wherein: the initial college reward policy may be to equally distribute 80% of the electricity saving fees of colleges to the effective teams participating in the market.
4. The micro-market modular operational model of an integrated power demand side response processing system of claim 1, wherein: the electricity price information adopts electricity price information published by a local power grid of colleges and universities.
5. The micro-market modular operational model of an integrated power demand side response processing system of claim 1, wherein: and the users in the data acquisition module refer to teachers and students in high schools.
6. The micro-market modular operational model of an integrated power demand side response processing system of claim 1, wherein: the micro-market module operation model can also be applied to other career units with incompletely controllable electricity consumption behaviors.
7. The micro-market modular operational model of an integrated power demand side response processing system of claim 1, wherein: the incentive policy of the incentive policy determination module may be arbitrarily set by a user.
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