CN108075468A - Method of adjustment, control device and the management system of polygamy electrical nodes load - Google Patents

Method of adjustment, control device and the management system of polygamy electrical nodes load Download PDF

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Publication number
CN108075468A
CN108075468A CN201711308066.7A CN201711308066A CN108075468A CN 108075468 A CN108075468 A CN 108075468A CN 201711308066 A CN201711308066 A CN 201711308066A CN 108075468 A CN108075468 A CN 108075468A
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China
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mrow
msub
electrical nodes
somebody
time domain
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CN201711308066.7A
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CN108075468B (en
Inventor
张福东
祝新全
彭钢
袁晓磊
杨春来
李剑峰
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
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Priority to CN201711308066.7A priority Critical patent/CN108075468B/en
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Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The application belongs to power distribution network control technology field, discloses a kind of method of adjustment of polygamy electrical nodes load, control device and management system.The method of adjustment of the polygamy electrical nodes load includes：Electricity price Controlling model is set, and according to the minimum electricity price in electricity price Controlling model acquisition current time each the default control time domain with electrical nodes；According to the Optimum Economic target tariff in the minimum electricity price acquisition current time in the default control time domain each the default control time domain with electrical nodes；According to the corresponding electrical parameter adjustment of Optimum Economic target tariff in current time each the default control time domain with electrical nodes each with the load in electrical nodes default control time domain.Power network resources so can be distributed rationally by adjusting distribution node load, solve the problems, such as that power grid is susceptible to local power deficiency or waste.

Description

Method of adjustment, control device and the management system of polygamy electrical nodes load
Technical field
The application belongs to power distribution network control technology field more particularly to a kind of method of adjustment of polygamy electrical nodes load, control Device processed and management system.
Background technology
For a long time, people get used to meeting to the convenient requirement comfortably lived by developing electric energy, however society It can live and objectively there is the difference of very big time above and spatially to the demand of electric energy.
The electric network composition that tradition transmits electric power is susceptible to intermittent power swing and load peak-valley difference, and power grid is caused to occur The problem of local power deficiency or waste, influences the economic benefit and social benefit of Utilities Electric Co..
The content of the invention
In view of this, the embodiment of the present application provides a kind of method of adjustment, control device and the management of polygamy electrical nodes load System, to solve the problems, such as that local power deficiency or waste occurs in current power grid.
The first aspect of the embodiment of the present application provides a kind of method of adjustment of polygamy electrical nodes load, including：
Electricity price Controlling model is set, and it is each default with electrical nodes according to electricity price Controlling model acquisition current time Control the minimum electricity price in time domain；
When each matching somebody with somebody the default control of electrical nodes according to the minimum electricity price acquisition current time in the default control time domain Optimum Economic target tariff in domain；
According to the corresponding electricity ginseng of Optimum Economic target tariff in current time each the default control time domain with electrical nodes Number adjustment is each with the load in electrical nodes default control time domain.
The second aspect of the embodiment of the present application provides a kind of adjusting apparatus of polygamy electrical nodes load, including：
Minimum electricity price determining module for setting electricity price Controlling model, and obtains currently according to the electricity price Controlling model Moment each matches somebody with somebody the minimum electricity price in the default control time domain of electrical nodes；
Optimum Economic target tariff determining module, it is current for being obtained according to the minimum electricity price in the default control time domain Moment each matches somebody with somebody the Optimum Economic target tariff in the default control time domain of electrical nodes；
Distribution node load adjusts module, for each being matched somebody with somebody according to current time in the default control time domain of electrical nodes most The corresponding electrical parameter adjustment of excellent economic goal electricity price is each with the load in electrical nodes default control time domain.
The third aspect of the embodiment of the present application provides a kind of power distribution network Energy Management System, including：
It is multiple with the micro- source of electrical nodes, it is multiple with electrical nodes energy storage device, server, power distribution network concentrate Energy Management System with And it is stored in the computer program that can be run on the server and on the server, which is characterized in that the server The step of the method that the embodiment of the present application first aspect provides is realized when performing the computer program.
The fourth aspect of the embodiment of the present application provides a kind of computer readable storage medium,
The computer-readable recording medium storage has computer program, and the computer program is handled by one or more Device realizes the step of the method that the embodiment of the present application first aspect provides when performing.
Existing advantageous effect is the embodiment of the present application technical solution compared with prior art：
The embodiment of the present application is by setting electricity price Controlling model, and it is every according to the electricity price Controlling model to obtain current time Minimum electricity price in a default control time domain with electrical nodes；It is obtained according to the minimum electricity price in the default control time domain current Moment each matches somebody with somebody the Optimum Economic target tariff in the default control time domain of electrical nodes；Electrical nodes are each matched somebody with somebody according to current time The corresponding electrical parameter adjustment of Optimum Economic target tariff in default control time domain is each in electrical nodes default control time domain Load.Power network resources so can be distributed rationally by adjusting distribution node load, power grid is solved and be susceptible to local power not The problem of foot or waste.
Description of the drawings
It, below will be to embodiment or description of the prior art in order to illustrate more clearly of the technical solution in the embodiment of the present application Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only some realities of the application Example is applied, it for those of ordinary skill in the art, without having to pay creative labor, can also be attached according to these Figure obtains other attached drawings.
Fig. 1 is the realization flow chart of the method for adjustment for the polygamy electrical nodes load that one embodiment of the application provides；
Fig. 2 is the structure chart with electrical nodes that one embodiment of the application provides；
Fig. 3 is the algorithm flow chart for the Optimum Economic target tariff that one embodiment of the application provides；
Fig. 4 is that the power distribution network that one embodiment of the application provides concentrates Ems Architecture figure；
Fig. 5 is the power distribution network Ems Architecture figure that one embodiment of the application provides；
Fig. 6 is the distribution node load coordination optimization flow chart that one embodiment of the application provides；
Fig. 7 is the schematic block diagram of the adjusting apparatus for the polygamy electrical nodes load that one embodiment of the application provides；
Fig. 8 is the schematic block diagram for the power distribution network Energy Management System that one embodiment of the application provides.
Specific embodiment
In being described below, in order to illustrate rather than in order to limit, it is proposed that such as tool of particular system structure, technology etc Body details, to understand thoroughly the embodiment of the present application.However, it will be clear to one skilled in the art that there is no these specifically The application can also be realized in the other embodiments of details.In other situations, omit to well-known system, device, electricity Road and the detailed description of method, in case unnecessary details interferes the description of the present application.
In order to illustrate technical solution described herein, illustrated below by specific embodiment.
It is shown in Figure 1, it is the realization flow of the method for adjustment for the polygamy electrical nodes load that one embodiment of the application provides Figure.This method may comprise steps of as shown in the figure：
Step S101 sets electricity price Controlling model, and obtains current time each distribution according to the electricity price Controlling model Minimum electricity price in the default control time domain of node.
The electricity price Controlling model is set to be based oneself upon for the purpose of realizing the Income Maximum of distribution network system operation as distribution Network management system base control unit with electrical nodes, consider the expense from power grid power purchase, to obtained by power grid sale of electricity income, examine Nuclear power valency and with the global energy balance of the power distribution network it is relevant with the micro- source power of electrical nodes, with electrical nodes energy storage device work( The restriction of rate, with the micro- source power of electrical nodes, the maintenance cost with equipment such as electrical nodes energy storage devices and depreciation loss etc. because Element, and based on default control time domain and rolling time horizon, complex optimum calculates.
The electricity price Controlling model in the embodiment of the present application, by from the expense of power grid power purchase, to obtained by power grid sale of electricity Income, with after electrical nodes energy storage device transfer efficiency electricity price, with electrical nodes energy storage device input or export power and node Examine the considerations such as electricity price wherein.
Specifically, the electricity price Controlling model：
Wherein, the x represents x-th to match somebody with somebody electrical nodes；The Cdg(x)It represents x-th and matches somebody with somebody the electricity charge of the electrical nodes in t moment；Institute It states T and represents default control time domain；The t is represented in the default control time domain from starting to any moment of end, t=m*1 (m >=0 and m is integer), the esell(x)(t) represent x-th and match somebody with somebody rate for incorporation into the power network of the electrical nodes in t moment；The pg(x)(t) table Show x-th with electrical nodes in the performance number of t moment, major network represents input power during negative value to micro-capacitance sensor output power during positive value； The ebuy(x)(t) represent x-th and match somebody with somebody purchase electricity price of the electrical nodes in t moment；The eess(x)(t) represent to match somebody with somebody electrical nodes x-th Electricity price after t moment considers energy storage device transfer efficiency；The pess(t) represent to fill in t moment energy storage with electrical nodes for x-th Put the power of input or output；The KAP(x) represent x-th and match somebody with somebody examination electricity price of the electrical nodes in t moment；The Δ (t) represents X-th with electrical nodes t moment electricity charge variable quantity in time；The DMINRepresent that polygamy electrical nodes electricity charge optimization is minimum Value；The n indicates that n are matched somebody with somebody electrical nodes, and n >=1 and n are integer.
Specifically, the minimum electricity price that the current time each matches somebody with somebody in the default control time domain of electrical nodes is the polygamy Electrical nodes electricity charge optimization minimum value DMIN, it is n and matches somebody with somebody electricity price minimum value of the electrical nodes in default control time domain T.
Specifically, x-th is matched somebody with somebody electricity charge C of the electrical nodes in t momentdg(x)Variable quantity on time Δ (t), specific function meter The time span of calculation amount is the integral multiple that default control time domain T, time t are rolling time horizon duration 1 (T is also 1 integral multiple)；Electricity Take Cdg(x)With the described x-th electricity price e with electrical nodes after t moment considers energy storage device transfer efficiencyess(x)(t) and the xth A power p for inputting or exporting in t moment energy storage device with electrical nodesess(t) product and it is described x-th with electrical nodes in t The examination electricity price K at quarterAP(x) positive correlation matches somebody with somebody rate for incorporation into the power network e of the electrical nodes in t moment with described x-thsell(x)(t) and described the X are matched somebody with somebody purchase electricity price e of the electrical nodes in t momentbuy(x)(t) difference matches somebody with somebody work(of the electrical nodes in t moment multiplied by with described x-th Rate value pg(x)(t) absolute value of itself is added | pg(x)(t) | divided by the value positive correlation acquired after two income value, wherein, it is described pg(x)(t) be positive value when represent major network to described x-th with electrical nodes micro-capacitance sensor output power, the pg(x)(t) it is negative value When represent major network to described x-th with electrical nodes micro-capacitance sensor input power.
The downstream for being located at power distribution network concentration Energy Management System with electrical nodes in the embodiment of the present application, is power distribution network Concentrate the base control unit of Energy Management System.
It is shown in Figure 2, it is the structure chart with electrical nodes that one embodiment of the application provides.
As shown in the figure, described include micro- source and grid-connected frequency converter, energy storage device and two-way inverter and multigroup with electrical nodes Load etc..
Specifically, the distribution node is based on virtual impedance method control principle, study based on the compound of dq rotating coordinate systems Virtual impedance；And based on the compound virtual impedance, micro- source and the sagging distribution control mode of grid-connected frequency converter are improved, to meet storage Energy device coordinates the two-way inverter control, can realize the basis under simultaneously net state of the micro-capacitance sensor with electrical nodes composition The power distribution network concentrates the control instruction of Energy Management System to control micro- source power, the stable operation under off-network island operation state And simultaneously off-grid operation state takes over seamlessly with load between electrical nodes.
It is each pre- with electrical nodes to obtain current time according to the minimum electricity price in the default control time domain by step S102 If control the Optimum Economic target tariff in time domain.
The default control time domain be distribution management system carry out polygamy electrical nodes load method of adjustment calculate when Between section.
Described calculated according to the minimum electricity price is obtained in each default control time domain with electrical nodes current time most Excellent economic goal electricity price includes：
It is multiple rolling time horizons by the default control temporal partitioning, when obtaining next rolling based on each rolling time horizon The Optimum Economic target tariff in domain；
Optimum Economic in the default control time domain is obtained according to the Optimum Economic target tariff in each rolling time horizon Target tariff.
The rolling time horizon is the duration that distribution management system each rolls sampling calculating tou power price with electrical nodes.Tool Body, the default control time domain can include multiple rolling time horizons.
The rolling time horizon not only considers to work as back, but also following a period of time possible distribution webmaster Reason system running state is also included in computer capacity, and optimization process can so be made to have better dynamic control effect,
The Optimum Economic target tariff that next rolling time horizon is obtained based on each rolling time horizon：
Wherein, the DMINIt represents with electrical nodes current scrolling time domain Optimum Economic target tariff；The tpExpression is preset with Domain duration in limited time；The t represents the initial time of the default finite time-domain；The s represents the time of the rolling time horizon passed through； The s=1 represents the duration of rolling time horizon, s=m*1 (m >=1 and m is integer), s≤tp；The Cdg(x)Represent x-th of distribution The electricity charge at (t+s) moment of node.
The default finite time-domain duration is that distribution management system calculates rolling time horizon according to limited rolling time horizon algorithm The period of the interior Optimum Economic target tariff with electrical nodes, generally comprise several rolling time horizons.
Therefore the DMINOptimum Economic target tariff is calculated in [t t using rolling time horizon algorithm to calculate the electrical nodes of matching somebody with somebody +tp] finite time-domain in, the minimization value in a finite time-domain that is drawn.
Specifically, in the last one rolling end cycle, i.e., described finite time-domain tpAt the end of, t+tpMoment is calculated Optimal control sequence Cdg(x)(t)={ Cdg(x)(t|t),(t+1|t),…,Cdg(x)(t+tp- 1 | t) }, and take out first control Variable Cdg(x)(t | t), wherein the economic electricity price C of optimal objective of gaineddg(x)Include electrical parameter have x-th with electrical nodes in t The performance number p at quarterg(x)(t) input-output power p of the electrical nodes in the energy storage device of t moment is matched somebody with somebody with x-thess(t), it is institute It asks x-th and matches somebody with somebody electrical nodes in finite time-domain [t t+tp] in the Optimum Economic target tariff D that is obtained using rolling time horizon algorithmMIN。
It is shown in Figure 3, it is the algorithm flow chart for the Optimum Economic target tariff that one embodiment of the application provides.
As shown in the figure, in the embodiment of the present application, the Optimum Economic target tariff is using the global evolution side of rolling time horizon Method, the finite time-domain are the default control time domain, and specific implementation flow is to predict the electricity price control mould in current t moment Type is optimal in the rolling time horizon [t t+s] by calculating in the default control time domain [t t+T] interior solving-optimizing problem Control sequence minimizes the Optimum Economic target tariff in rolling time horizon.It assume that when a length of s=of rolling time horizon 1, for example, can elder generation rolling calculation t into the distribution management system in the finite time-domain t+n*1 times it is each match somebody with somebody electrical nodes Optimum Economic target tariff, form optimal control sequence, and take first control variable as new electricity price Controlling model, it After continue to roll update in next rolling time horizon [t+n*1t+ (n+1) * 1], until in the last one rolling time horizon [t+T- 1t+T] before, i.e., update optimization is rolled in described default control time domain [t t+T] and is terminated.Wherein, T is the rolling time horizon The integral multiple of duration 1, n >=1 and n are integer.
Step S103, according to the Optimum Economic target tariff pair in current time each the default control time domain with electrical nodes The electrical parameter adjustment answered is each with the load in electrical nodes default control time domain.
Wherein, Optimum Economic target tariff is in the default control time domain in the default control time domain with electrical nodes In interior several rolling time horizons, multiple distribution nodes are calculated based on electricity price Controlling model rolling optimization in each rolling time horizon The minimum electricity price with electrical nodes, the minimum electricity price that the last rolling optimization is calculated are the default control time domain Interior Optimum Economic target tariff, electrical parameter set in corresponding electricity price Controlling model is the electrical nodes of matching somebody with somebody pre- at this time If control the corresponding electrical parameter of Optimum Economic target tariff in time domain.
Specifically, the corresponding electrical parameter of the Optimum Economic target tariff includes：With the micro- source power of electrical nodes, with electrical nodes Energy storage device power, with electrical nodes energy storage device conversion electricity price, with electrical nodes current time rate for incorporation into the power network, with electrical nodes it is current when It carves purchase electricity price and examines electricity price with electrical nodes current time.
Wherein, it is described to represent described with the micro- source power of electrical nodes and pass through the sagging distributed controll of grid-connected frequency converter with electrical nodes The operating power in micro- source；
It is described to represent described with electrical nodes energy storage device power and pass through the sagging distributed controll of two-way inverter with electrical nodes The operating power of energy storage device；
It is described to represent to consider that micro- source with electrical nodes and energy storage device etc. are set with electrical nodes energy storage device conversion electricity price Standby maintenance cost and the factors such as depreciation loss and the energy storage device transfer efficiency, the electricity price drawn；
It is described to represent the electrical nodes of matching somebody with somebody to subscriber's side powered electricity price, this electricity price with electrical nodes current time rate for incorporation into the power network The as described sale electricity price with electrical nodes, generally has the authoritative organizations such as government to determine；
It is described to represent the cost electricity with electrical nodes from upstream bulk power grid power purchase with electrical nodes current time purchase electricity price Valency；
It is described to examine electricity price expression is described to concentrate energy management system with power distribution network described in electrical nodes with electrical nodes current time The electricity price that the correlative factors such as the execution management method of system and overall power factor are drawn；
Above-mentioned all electrical parameters are transformable variable at any time.
Adjustment each can be according to each pre- with electrical nodes current time with the load in electrical nodes default control time domain If the Optimum Economic target tariff in time domain is controlled to correspond to the electrical parameter with electrical nodes by adjusting described with micro- in electrical nodes Source power and energy storage device power adjust the distribution node load, can also be according in same power distribution network Energy Management System Difference matches somebody with somebody the difference of electrical nodes electrical parameter, and the different loads between electrical nodes of translation reach the optimization power distribution network energy management Energy management in system, the effect of energization storage；In addition, the different loads between electrical nodes of translation can make single match somebody with somebody Electrical nodes are rapidly achieved the setting requirements of the corresponding electrical parameter of corresponding moment Optimum Economic target tariff.
The electric network composition and control method to transmit electric power is two importances for determining power grid configuration resource capability, specifically , the power distribution network concentration Energy Management System completes the meter of the polygamy electrical nodes translation duty control method by server It calculates, draws the Optimum Economic target tariff in the default control time domain at current time, the upstream in distribution management system；Match somebody with somebody Energy management system concentrates Energy Management System to be connected by power distribution network central controller with the power distribution network, in distribution The middle reaches of network management system respond the power distribution network and concentrate the decision instruction of Energy Management System and further according to the decision-making Instruction controls corresponding each distribution knot adjustment load in the downstream of distribution management system.
It is shown in Figure 4, it is that the power distribution network that one embodiment of the application provides concentrates Ems Architecture figure.
As shown in the figure, the power distribution network concentrates Energy Management System to realize the polygamy electrical nodes translation duty control method The hardware foundation of calculating includes power distribution network and concentrates Energy Management System, server, protocol converter, power distribution network Energy Management System Deng.
Specifically, the electrical parameter of acquisition and control data are passed through association by the power distribution network Energy Management System through fiber optic communication View converter is converted to IEC61850 standard agreements and communicates concentrates Energy Management System to power distribution network, and the power distribution network concentrates energy Management system and by each distribution node energy operating condition of Optimum Economic target tariff coordination and by related electrical parameters go through History data are stored in server.
It is shown in Figure 5, it is the power distribution network Ems Architecture figure that one embodiment of the application provides.
As shown in the figure, power distribution network Energy Management System includes micro- source, energy storage device, power distribution network central controller, micro battery Controller (Micro power Controller, MC), multiple loads and load governor (Load Controller, LC).
Specifically, power distribution network central controller is responsible for the operation shape according to Spot Price, micro- source prediction data and load State, the decision-making made by power distribution network Energy Management System optimize the flowing of distribution management system internal energy, control micro- electricity Source controller (Micro power Controller, MC) and load governor (Load Controller, LC), with optimal Financial cost is stablized, reliably provides required electric energy to load.Power distribution network Energy Management System will be gathered through fiber optic communication Information and control data by protocol converter be converted to 61850 standard agreements of IEC communicate give power distribution network concentrate energy management System, power distribution network concentrate Energy Management System to coordinate each node energy operating condition and take basic data and historical data deposit Business device.Server concentrates Energy Management System providing method to support for power distribution network.
It is shown in Figure 6, it is the distribution node load coordination optimization flow chart that one embodiment of the application provides.
The power distribution network concentrates the server in Energy Management System to be responsible for the polygamy electrical nodes translation spatial load forecasting side The realization of method, the power distribution network central controller of the power distribution network Energy Management System respond the power distribution network and concentrate energy management system The Optimum Economic target tariff that the server of system is drawn according to the method for adjustment computing of the polygamy electrical nodes load optimizes distribution Network energy manages the flowing of internal system and each distribution node load energy in downstream, controls micro source controller and spatial load forecasting Device, optimization translation, with optimal financial cost, stablize with the load between electrical nodes, reliably provide required electricity to load Can, load of the optimization with electrical nodes.
The power distribution network concentrates Energy Management System to translate duty control method by performing the polygamy electrical nodes, ensures The realization of control method, can reduce electric system peak-valley difference, and the fluctuation of smooth out intermittent power increases power system load Spare capacity, improve power grid security and stability and power supply quality.
The embodiment of the present application is by setting electricity price Controlling model, and it is every according to the electricity price Controlling model to obtain current time Minimum electricity price in a default control time domain with electrical nodes；It is obtained according to the minimum electricity price in the default control time domain current Moment each matches somebody with somebody the Optimum Economic target tariff in the default control time domain of electrical nodes；Electrical nodes are each matched somebody with somebody according to current time The corresponding electrical parameter adjustment of Optimum Economic target tariff in default control time domain is each in electrical nodes default control time domain Load.Power network resources so can be distributed rationally by adjusting distribution node load, power grid is solved and be susceptible to local power not The problem of foot or waste.
It is to be understood that the size of the sequence number of each step is not meant to the priority of execution sequence, each process in above-described embodiment Execution sequence should determine that the implementation process without tackling the embodiment of the present application forms any limit with its function and internal logic It is fixed.
It is the schematic block diagram of the adjusting apparatus for the polygamy electrical nodes load that one embodiment of the application provides referring to Fig. 7, in order to Convenient for explanation, only show and the relevant part of the embodiment of the present application.
The adjusting apparatus 7 of the polygamy electrical nodes load can be built in terminal device (such as tablet computer, notebook, Computer, server etc.) in software unit, hardware cell or the unit of soft or hard combination, can also be used as independent pendant It is integrated into the terminal device.
The adjusting apparatus 7 of the polygamy electrical nodes load includes：
Minimum electricity price determining module 71 for setting electricity price Controlling model, and is worked as according to the electricity price Controlling model The preceding moment each matches somebody with somebody the minimum electricity price in the default control time domain of electrical nodes；
Optimum Economic target tariff determining module 72, for being worked as according to the minimum electricity price in the default control time domain The preceding moment each matches somebody with somebody the Optimum Economic target tariff in the default control time domain of electrical nodes；
Distribution node load adjusts module 73, for according in current time each the default control time domain with electrical nodes The corresponding electrical parameter adjustment of Optimum Economic target tariff is each with the load in electrical nodes default control time domain.
Optionally, the minimum electricity price determining module 71 includes：
Wherein, the x represents x-th to match somebody with somebody electrical nodes；The Cdg(x)It represents x-th and matches somebody with somebody the electricity charge of the electrical nodes in t moment；Institute It states T and represents default control time domain；The t is represented in the default control time domain from starting to any moment of end, t=m*1 (m >=0 and m is integer), the esell(x)(t) represent x-th and match somebody with somebody rate for incorporation into the power network of the electrical nodes in t moment；The pg(x)(t) table Show x-th with electrical nodes in the performance number of t moment, major network represents input power during negative value to micro-capacitance sensor output power during positive value； The ebuy(x)(t) represent x-th and match somebody with somebody purchase electricity price of the electrical nodes in t moment；The eess(x)(t) represent to match somebody with somebody electrical nodes x-th Electricity price after t moment considers energy storage device transfer efficiency；The pess(t) represent to fill in t moment energy storage with electrical nodes for x-th Put the power of input or output；The KAP(x) represent x-th and match somebody with somebody examination electricity price of the electrical nodes in t moment；The Δ (t) represents X-th with electrical nodes t moment electricity charge variable quantity in time；The DMINRepresent that polygamy electrical nodes electricity charge optimization is minimum Value；The n indicates that n are matched somebody with somebody electrical nodes, and n >=1 and n are integer.
Optionally, the Optimum Economic target tariff determining module 72 includes：
Rolling time horizon Optimum Economic target tariff computing unit 721, for being multiple by the default control temporal partitioning Rolling time horizon obtains the Optimum Economic target tariff of next rolling time horizon based on each rolling time horizon；
Default control time domain Optimum Economic target tariff determination unit 722, for according in the default control time domain most The Optimum Economic target tariff obtained before the latter rolling time horizon determines the Optimum Economic target electricity in the default control time domain Valency.
Optionally, the rolling time horizon Optimum Economic target tariff computing unit 721 is specifically used for：
Wherein, the DMINIt represents with electrical nodes current scrolling time domain Optimum Economic target tariff；The tpExpression is preset with Domain duration in limited time；The t represents the initial time of the default finite time-domain；The s represents the time of the rolling time horizon passed through； The s=1 represents the duration of rolling time horizon, s=m*1 (m >=1 and m is integer), s≤tp；The Cdg(x)Represent x-th of distribution The electricity charge at (t+s) moment of node.
It is apparent to those skilled in the art that for convenience and simplicity of description, only with above-mentioned each function The division progress of unit, module, can be as needed and by above-mentioned function distribution by different work(for example, in practical application Energy unit, module are completed, i.e., the internal structure of described system is divided into different functional units or module, to complete above description All or part of function.Each functional unit or module in embodiment can be integrated in a processing unit, can also That unit is individually physically present, can also two or more units integrate in a unit, above-mentioned integrated list The form that hardware had both may be employed in member or module is realized, can also be realized in the form of SFU software functional unit.In addition, each function Unit, the specific name of module are not limited to the protection domain of the application also only to facilitate mutually distinguish.Above-mentioned system Unit, the specific work process of module, may be referred to the corresponding process of preceding method embodiment, details are not described herein in system.
It is the schematic block diagram for the power distribution network Energy Management System that one embodiment of the application provides referring to Fig. 8.The embodiment Power distribution network Energy Management System 8 includes：It one or more servers 80, memory 81 and is stored in the memory 81 simultaneously The computer program 82 that can be run on the server 80.The server 80 is realized when performing the computer program 82 State the step in the method for adjustment embodiment of each polygamy electrical nodes load, such as step S101 to S103 shown in FIG. 1.Or Person, the server 80 realize each mould in above-mentioned 8 embodiment of power distribution network Energy Management System when performing the computer program 82 The function of block, such as the function of module 71 to 73 shown in Fig. 7.
Illustratively, the computer program 82 can be divided into one or more modules, one or more of Module is stored in the memory 81, and is performed by the server 80, to complete the application.One or more of moulds Block can be the series of computation machine program instruction section that can complete specific function, which is used to describe the computer journey Implementation procedure of the sequence 82 in the power distribution network Energy Management System 8.For example, the computer program 81 can be divided into most Small electricity price determining module, Optimum Economic target tariff determining module and distribution node load adjustment module.
Minimum electricity price determining module for setting electricity price Controlling model, and obtains currently according to the electricity price Controlling model Moment each matches somebody with somebody the minimum electricity price in the default control time domain of electrical nodes；
Optimum Economic target tariff determining module, it is current for being obtained according to the minimum electricity price in the default control time domain Moment each matches somebody with somebody the Optimum Economic target tariff in the default control time domain of electrical nodes；
Distribution node load adjusts module, for each being matched somebody with somebody according to current time in the default control time domain of electrical nodes most The corresponding electrical parameter adjustment of excellent economic goal electricity price is each with the load in electrical nodes default control time domain.Other units or mould Block can refer to the description in embodiment shown in Fig. 7, and details are not described herein.
The power distribution network Energy Management System 8 includes but are not limited to server 80, memory 81, such as can also wrap It includes：It is multiple to match somebody with somebody the micro- source of electrical nodes, is multiple with electrical nodes energy storage device etc..It will be understood by those skilled in the art that Fig. 8 is only distribution Network energy manage system 8 an example, do not form the restriction to the power distribution network Energy Management System 8, can include than It illustrates more or fewer components and either combines some components or different components.
The server 80 can be central processing unit (Central Processing Unit, CPU), can also be Other generic servers, digital signal server (Digital Signal Processor, DSP), application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field- Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic, Discrete hardware components etc..Generic server can be microserver or the server can also be any conventional server Deng.
The memory 81 can be the internal storage unit of the power distribution network Energy Management System 8, such as power distribution network energy Buret manages the hard disk or memory of system 8.The memory 81 can also be the external storage of the power distribution network Energy Management System 8 Intelligent memory card (Smart Media Card, SMC), safe number are equipped in equipment, such as the power distribution network Energy Management System 8 Word card (Secure Digital, SD), flash card (Flash Card, FC) etc..Further, the memory 81 can also be both Internal storage unit including the power distribution network Energy Management System 8 also includes External memory equipment.The memory 81 is used for Store the computer program and other programs and data needed for the power distribution network Energy Management System 8.The memory 81 can be also used for temporarily storing the data that has exported or will export.
In the above-described embodiments, all emphasize particularly on different fields to the description of each embodiment, be not described in detail or remember in some embodiment The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may realize that each exemplary lists described with reference to the embodiments described herein Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is performed with hardware or software mode, specific application and design constraint depending on technical solution.Professional technician Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed Scope of the present application.
In embodiment provided herein, it should be understood that disclosed apparatus and method can pass through others Mode is realized.For example, device embodiment described above is only illustrative, for example, the division of the module or unit, only For a kind of division of logic function, there can be other dividing mode in actual implementation, such as multiple units or component can combine Or it is desirably integrated into another system or some features can be ignored or does not perform.Another, shown or discussed phase Coupling or direct-coupling or communication connection between mutually can be by some interfaces, the INDIRECT COUPLING or communication of device or unit Connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit The component shown may or may not be physical location, you can be located at a place or can also be distributed to multiple In network element.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs 's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also That unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list The form that hardware had both may be employed in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated module is realized in the form of SFU software functional unit and is independent production marketing or use When, it can be stored in a computer read/write memory medium.Based on such understanding, the application realizes above-described embodiment side All or part of flow in method can also instruct relevant hardware to complete, the computer by computer program Program can be stored in computer readable storage medium, and the computer program is when being executed by processor, it can be achieved that above-mentioned each The step of embodiment of the method.Wherein, the computer program includes computer program code, and the computer program code can be with For source code form, object identification code form, executable file or some intermediate forms etc..The computer-readable medium can wrap It includes：Any entity of the computer program code or device, recording medium, USB flash disk, mobile hard disk, magnetic disc, light can be carried Disk, computer storage, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), electric carrier signal, telecommunication signal and software distribution medium etc..It is it should be noted that described computer-readable The content that medium includes can carry out appropriate increase and decrease according to legislation in jurisdiction and the requirement of patent practice, such as at certain A little jurisdictions, according to legislation and patent practice, it is electric carrier signal and telecommunication signal that computer-readable medium, which does not include,.
Embodiment described above is only to illustrate the technical solution of the application, rather than its limitations；Although with reference to foregoing reality Example is applied the application is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to foregoing each Technical solution recorded in embodiment modifies or carries out equivalent substitution to which part technical characteristic；And these are changed Or replace, the essence of appropriate technical solution is not made to depart from the spirit and scope of each embodiment technical solution of the application, it should all Within the protection domain of the application.

Claims (10)

1. a kind of method of adjustment of polygamy electrical nodes load, which is characterized in that including：
Electricity price Controlling model is set, and each matches somebody with somebody the default control of electrical nodes according to electricity price Controlling model acquisition current time Minimum electricity price in time domain；
According in the minimum electricity price acquisition current time in the default control time domain each the default control time domain with electrical nodes Optimum Economic target tariff；
According to the corresponding electrical parameter tune of Optimum Economic target tariff in current time each the default control time domain with electrical nodes Whole each load in electrical nodes default control time domain.
2. the method for adjustment of polygamy electrical nodes load as described in claim 1, which is characterized in that described according to the default control Minimum electricity price acquisition current time in time domain processed each matches somebody with somebody the Optimum Economic target tariff in the default control time domain of electrical nodes Including：
It is multiple rolling time horizons by the default control temporal partitioning, next rolling time horizon is obtained based on each rolling time horizon Optimum Economic target tariff；
Optimum Economic target tariff according to being obtained before the last one rolling time horizon in the default control time domain determines described pre- If control the Optimum Economic target tariff in time domain.
3. the method for adjustment of polygamy electrical nodes load as claimed in claim 2, which is characterized in that it is described based on each roll when The Optimum Economic target tariff that domain obtains next rolling time horizon includes：
<mrow> <msub> <mi>D</mi> <mrow> <mi>M</mi> <mi>I</mi> <mi>N</mi> </mrow> </msub> <mo>=</mo> <mi>m</mi> <mi>i</mi> <mi>n</mi> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>s</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>t</mi> <mi>p</mi> </msub> </munderover> <msub> <mi>C</mi> <mrow> <mi>d</mi> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>+</mo> <mi>s</mi> <mo>)</mo> </mrow> </mrow>
Wherein, the DMINIt represents with electrical nodes current scrolling time domain Optimum Economic target tariff；The tpExpression is preset in limited time Domain duration；The t represents the initial time of the default finite time-domain；The s represents the time of the rolling time horizon passed through；It is described S=1 represents the duration of rolling time horizon, s=m*1 (m >=1 and m is integer), s≤tp；The Cdg(x)It represents x-th and matches somebody with somebody electrical nodes The electricity charge at (t+s) moment.
4. the method for adjustment of polygamy electrical nodes load as described in claim 1, which is characterized in that the Optimum Economic target electricity The corresponding electrical parameter of valency includes：It is converted with the micro- source power of electrical nodes, with electrical nodes energy storage device power, with electrical nodes energy storage device Electricity price is examined with electrical nodes current time rate for incorporation into the power network, with electrical nodes current time purchase electricity price and with electrical nodes current time Electricity price.
5. the method for adjustment of polygamy electrical nodes load as described in claim 1, which is characterized in that the electricity price Controlling model bag It includes：
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>C</mi> <mrow> <mi>d</mi> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mo>=</mo> <mstyle> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <mrow> <mo>&amp;lsqb;</mo> <msub> <mi>e</mi> <mrow> <mi>s</mi> <mi>e</mi> <mi>l</mi> <mi>l</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>.</mo> <mfrac> <mrow> <mo>|</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mn>2</mn> </mfrac> <mo>-</mo> <msub> <mi>e</mi> <mrow> <mi>b</mi> <mi>u</mi> <mi>y</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>.</mo> <mfrac> <mrow> <mo>|</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mn>2</mn> </mfrac> <mo>+</mo> <msub> <mi>e</mi> <mrow> <mi>e</mi> <mi>s</mi> <mi>s</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>.</mo> <msub> <mi>p</mi> <mrow> <mi>e</mi> <mi>s</mi> <mi>s</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>K</mi> <mrow> <mi>A</mi> <mi>P</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> </mstyle> <mi>&amp;Delta;</mi> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>D</mi> <mrow> <mi>M</mi> <mi>I</mi> <mi>N</mi> </mrow> </msub> <mo>=</mo> <mstyle> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>C</mi> <mrow> <mi>d</mi> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> </mstyle> </mtd> </mtr> </mtable> </mfenced>
Wherein, the x represents x-th to match somebody with somebody electrical nodes；The Cdg(x)It represents x-th and matches somebody with somebody the electricity charge of the electrical nodes in t moment；The T Represent default control time domain；The interior any moment from starting to end of the t expressions default control time domain, t=m*1 (m >= 0 and m is integer), the esell(x)(t) represent x-th and match somebody with somebody rate for incorporation into the power network of the electrical nodes in t moment；The pg(x)(t) xth is represented It is a with electrical nodes in the performance number of t moment, major network represents input power during negative value to micro-capacitance sensor output power during positive value；It is described ebuy(x)(t) represent x-th and match somebody with somebody purchase electricity price of the electrical nodes in t moment；The eess(x)(t) represent x-th and match somebody with somebody electrical nodes in t Carve the electricity price after considering energy storage device transfer efficiency；The pess(t) represent to input in t moment energy storage device with electrical nodes for x-th Or the power of output；The KAP(x) represent x-th and match somebody with somebody examination electricity price of the electrical nodes in t moment；The Δ (t) represents to match somebody with somebody for x-th Electrical nodes are in the electricity charge variable quantity in time of t moment；The DMINRepresent polygamy electrical nodes electricity charge optimization minimum value；The n Indicate that n are matched somebody with somebody electrical nodes, n >=1 and n are integer.
6. a kind of adjusting apparatus of polygamy electrical nodes load, which is characterized in that including：
Minimum electricity price determining module for setting electricity price Controlling model, and obtains current time according to the electricity price Controlling model Minimum electricity price in each default control time domain with electrical nodes；
Optimum Economic target tariff determining module, for obtaining current time according to the minimum electricity price in the default control time domain Optimum Economic target tariff in each default control time domain with electrical nodes；
Distribution node load adjusts module, for according to the optimal warp in current time each the default control time domain with electrical nodes The corresponding electrical parameter adjustment of the target tariff that helps is each with the load in electrical nodes default control time domain.
7. the adjusting apparatus of polygamy electrical nodes load according to claim 6, which is characterized in that the Optimum Economic target Electricity price determining module includes：
Rolling time horizon Optimum Economic target tariff computing unit, for by the default control temporal partitioning be multiple rollings when Domain obtains the Optimum Economic target tariff of next rolling time horizon based on each rolling time horizon；
Default control time domain Optimum Economic target tariff determination unit, for according to the last one rolling in the default control time domain The Optimum Economic target tariff obtained before dynamic time domain determines the Optimum Economic target tariff in the default control time domain；
Wherein, the rolling time horizon Optimum Economic target tariff computing unit is specifically used for：
<mrow> <msub> <mi>D</mi> <mrow> <mi>M</mi> <mi>I</mi> <mi>N</mi> </mrow> </msub> <mo>=</mo> <mi>m</mi> <mi>i</mi> <mi>n</mi> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>s</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>t</mi> <mi>p</mi> </msub> </munderover> <msub> <mi>C</mi> <mrow> <mi>d</mi> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>+</mo> <mi>s</mi> <mo>)</mo> </mrow> </mrow>
Wherein, the DMINIt represents with electrical nodes current scrolling time domain Optimum Economic target tariff；The tpExpression is preset in limited time Domain duration；The t represents the initial time of the default finite time-domain；The s represents the time of the rolling time horizon passed through；It is described S=1 represents the duration of rolling time horizon, s=m*1 (m >=1 and m is integer), s≤tp；The Cdg(x)It represents x-th and matches somebody with somebody electrical nodes The electricity charge at (t+s) moment.
8. the adjusting apparatus of polygamy electrical nodes load according to claim 6, which is characterized in that
The minimum electricity price determining module includes：
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>C</mi> <mrow> <mi>d</mi> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mo>=</mo> <mstyle> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <mrow> <mo>&amp;lsqb;</mo> <msub> <mi>e</mi> <mrow> <mi>s</mi> <mi>e</mi> <mi>l</mi> <mi>l</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>.</mo> <mfrac> <mrow> <mo>|</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mn>2</mn> </mfrac> <mo>-</mo> <msub> <mi>e</mi> <mrow> <mi>b</mi> <mi>u</mi> <mi>y</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>.</mo> <mfrac> <mrow> <mo>|</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <msub> <mi>p</mi> <mrow> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mn>2</mn> </mfrac> <mo>+</mo> <msub> <mi>e</mi> <mrow> <mi>e</mi> <mi>s</mi> <mi>s</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>.</mo> <msub> <mi>p</mi> <mrow> <mi>e</mi> <mi>s</mi> <mi>s</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>K</mi> <mrow> <mi>A</mi> <mi>P</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> </mstyle> <mi>&amp;Delta;</mi> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>D</mi> <mrow> <mi>M</mi> <mi>I</mi> <mi>N</mi> </mrow> </msub> <mo>=</mo> <mstyle> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>C</mi> <mrow> <mi>d</mi> <mi>g</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </msub> </mstyle> </mtd> </mtr> </mtable> </mfenced>
Wherein, the x represents x-th to match somebody with somebody electrical nodes；The Cdg(x)It represents x-th and matches somebody with somebody the electricity charge of the electrical nodes in t moment；The T Represent default control time domain；The interior any moment from starting to end of the t expressions default control time domain, t=m*1 (m >= 0 and m is integer), the esell(x)(t) represent x-th and match somebody with somebody rate for incorporation into the power network of the electrical nodes in t moment；The pg(x)(t) xth is represented It is a with electrical nodes in the performance number of t moment, major network represents input power during negative value to micro-capacitance sensor output power during positive value；It is described ebuy(x)(t) represent x-th and match somebody with somebody purchase electricity price of the electrical nodes in t moment；The eess(x)(t) represent x-th and match somebody with somebody electrical nodes in t Carve the electricity price after considering energy storage device transfer efficiency；The pess(t) represent to input in t moment energy storage device with electrical nodes for x-th Or the power of output；The KAP(x) represent x-th and match somebody with somebody examination electricity price of the electrical nodes in t moment；The Δ (t) represents to match somebody with somebody for x-th Electrical nodes are in the electricity charge variable quantity in time of t moment；The DMINRepresent polygamy electrical nodes electricity charge optimization minimum value；The n Indicate that n are matched somebody with somebody electrical nodes, n >=1 and n are integer.
9. a kind of power distribution network Energy Management System, including it is multiple with the micro- source of electrical nodes, it is multiple with electrical nodes energy storage device, service Device, power distribution network concentrate Energy Management System and are stored in the computer that can be run on the server and on the server Program, which is characterized in that the server realizes the side as described in any one of claim 1 to 5 when performing the computer program The step of method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists In when the computer program is executed by processor the step of realization such as any one of claim 1 to 5 the method.
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