CN112396217B - Controllable load resource long-distance optimal scheduling implementation method and system - Google Patents

Controllable load resource long-distance optimal scheduling implementation method and system Download PDF

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CN112396217B
CN112396217B CN202011205719.0A CN202011205719A CN112396217B CN 112396217 B CN112396217 B CN 112396217B CN 202011205719 A CN202011205719 A CN 202011205719A CN 112396217 B CN112396217 B CN 112396217B
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scheduling
load
long
controllable load
distance
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CN112396217A (en
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胡宏
徐潇源
张怀宇
严正
陆建宇
陈亭轩
侯勇
胡蓉
滕晓毕
陈新仪
马洪艳
徐超然
王珂
李亚平
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East China Branch Of State Grid Corp ltd
Shanghai Jiaotong University
China Electric Power Research Institute Co Ltd CEPRI
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East China Branch Of State Grid Corp ltd
Shanghai Jiaotong University
China Electric Power Research Institute Co Ltd CEPRI
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    • 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/40—The network being an on-board power network, i.e. within a vehicle
    • H02J2310/48—The network being an on-board power network, i.e. within a vehicle for electric vehicles [EV] or hybrid vehicles [HEV]
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62—The condition being non-electrical, e.g. temperature
    • H02J2310/64—The condition being economic, e.g. tariff based load management
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • 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
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

Abstract

A controllable load resource long-distance optimal scheduling implementation method and system are disclosed, wherein the type and auxiliary service information of a controllable load participating in long-distance scheduling are determined by a regional power grid scheduling mechanism; the regional power grid dispatching mechanism determines auxiliary service requirements in the region and determines a regional dispatching plan of controllable load according to a preset rule; the regional power grid dispatching mechanism determines the resource shortage condition in the region and determines a long-distance dispatching plan of the controllable load according to a preset rule; the regional power grid dispatching mechanism integrates regional and long-distance dispatching plans of controllable load resources in the region and issues the dispatching plans to each controllable load; and the dispatching mechanism adjusts the dispatching plan according to the actual execution condition and compensates the controllable load according to a preset rule. The method takes the controllable load as an auxiliary service resource, realizes paid scheduling of the controllable load through regional and long-distance scheduling, is favorable for a power grid to fully utilize power resources, and promotes new energy consumption space.

Description

Controllable load resource long-distance optimal scheduling implementation method and system
Technical Field
The invention relates to a technology in the field of intelligent control of an electric power system, in particular to a method and a system for realizing long-distance optimal scheduling of controllable load resources.
Background
With the development of load-side scheduling control technology, controllable loads will play a greater role in providing power-assisted services. The controllable load will not only be the consumer of the electrical energy, but also the provider of the auxiliary service, having the ability to provide the system with the ability to adjust the power balance. The response rate of the controllable load device is very fast, so the flexibility of the controllable load is higher than that of the traditional generator set. Because the probability of simultaneous refusing action of the controllable load terminal devices controlled by the load aggregator is extremely low, the reliability of the auxiliary service provided by the controllable load resources is higher than that of the traditional generator set.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the method and the system for realizing the long-distance optimal scheduling of the controllable load resources, the controllable load is used as an auxiliary service resource which can be scheduled for a long distance, the full utilization of electric power resources by a power grid is facilitated, and the new energy consumption space is improved.
The invention is realized by the following technical scheme:
the invention relates to a controllable load resource long-distance optimal scheduling implementation method, which comprises the following steps:
step 1) a regional power grid dispatching mechanism determines the type of controllable load and auxiliary service information participating in long-distance dispatching, and the method specifically comprises the following steps:
1.1 determining controllable load type: the controllable load may include the following five categories: the system comprises a user with large controllable load, an electric vehicle charging station aggregator, a load aggregator, an energy storage and a virtual power plant. The controllable load large user means: the user with large controllable load refers to a business user with certain adjusting capacity; the load aggregators are: aggregating a number of discrete, special loads of controllable load resources within the area; the electric vehicle charging station aggregator means that charging loads of a certain number of electric vehicle charging stations are aggregated; the energy storage means that: the device has certain charging capacity and discharging capacity; the virtual power plant means: the virtual power plant with the new energy power generation, energy storage, controllable load and other resources is integrated, and the virtual power plant has a charging behavior and a discharging behavior. .
1.2 determining auxiliary service information of controllable load: 1) determining (aggregate) resource capacity, (aggregate) maximum charging power and discharging power, a reference daily power curve and discharging curve and an intention compensation price of each type of controllable load; 2) determining the charging time and the charging range of a charging station aggregator; 3) determining the charging time and the charging range of stored energy, the conversion efficiency and the daily maximum charging and discharging times; 4) and determining the polymerization power regulation rate and daily maximum charging and discharging times of the virtual power plant.
The reference daily electricity curve is determined in the following mode: the reference daily electricity usage curve is calculated every 15 minutes for each 15 minute period in chronological order. The reference electric load of each time interval is the arithmetic mean of the electric loads of the same time interval of the last 15 days that the controllable load user does not participate in the auxiliary service marketThe value is obtained. The reference electric loads of the load aggregators, the electric vehicle charging station aggregators and the virtual power plants are the sum of the reference electric loads of the aggregated resources, namely
Figure BDA0002756986920000021
Wherein:
Figure BDA0002756986920000022
a reference electricity load representing the controllable load i at the kth 15-minute period;
Figure BDA0002756986920000023
indicating the power load of the controllable load i on the j' th day of the last 15 days that did not participate in the auxiliary service market.
Step 2) the regional power grid dispatching mechanism determines auxiliary service requirements in the region, and determines a regional dispatching plan with controllable load according to a preset rule, wherein the regional dispatching plan specifically comprises the following steps:
the controllable load is preferentially scheduled by the regional power grid scheduling mechanism to which the controllable load belongs. And the regional power grid dispatching mechanism determines the auxiliary service requirements in the region, and sequences the controllable load in each dispatching time period and the schedulable capacity of other units from high to low according to the compensation price until the auxiliary service requirements in the region are met.
Step 3) the regional power grid dispatching mechanism determines the resource shortage condition in the region, and determines the long-distance dispatching plan of the controllable load according to a preset rule, wherein the method specifically comprises the following steps:
3.1 regional scheduling mechanism determines resource shortage situation in region: when the resource shortage situation occurs in the region, the long-distance scheduling is carried out on the resources of the power grid in the region with other resource surplus; when the resource surplus occurs in the region, the resources in the region can be scheduled for a long distance by a power grid in the region with resource shortage.
3.2 determining a controllable load long-distance dispatching plan: 1) determining long-distance scheduling requirements of a power grid in a resource shortage region; 2) the method comprises the steps that a power grid in a resource shortage region determines the scheduling information of controllable loads of other regions of the power grid participating in long-distance scheduling and a scheduling plan in the region; 3) and sequencing the controllable load and the schedulable capacity of other units in each scheduling period from high to low according to the compensation price until the auxiliary service requirement of the resource shortage area is met to obtain the long-distance scheduling plan of the controllable load and the other units.
Step 4), the regional power grid dispatching mechanism integrates the regional and long-distance dispatching plans and issues the dispatching plans to each controllable load, and the method specifically comprises the following steps:
4.1 scheduling plan integration: the regional power grid dispatching mechanism issues the dispatching plan to each regional power grid dispatching mechanism, and the regional power grid dispatching mechanism obtains a full-day 96-point planning power utilization curve of controllable load according to the regional and long-distance dispatching plans, namely the power utilization curve
Figure BDA0002756986920000024
Wherein:
Figure BDA0002756986920000025
and the system represents the planned power load, the reference power load, the local dispatching planned load and the regional power grid long-distance dispatching planned load of the controllable load i in the kth 15-minute time period.
4.2 power utilization plan issuing: and each regional power grid dispatching mechanism issues the power utilization plan to each type of controllable load resource. The power curve of a user with a large load is transmitted to the equipment; the charging curve of the charging station aggregator is issued to the charging station aggregator, the charging curve is decomposed and then issued to each electric vehicle charging station, and the charging stations send signals to an electric vehicle-mounted charger through the charging piles so as to adjust the charging power of a plurality of vehicles at the terminal; the power curve of the load aggregator is transmitted to the load aggregator, and the load aggregator control management system considers the constraint conditions of the polymerization monomers to decompose and then transmits the decomposed products to the polymerized independent equipment; and the power curve of the virtual power plant is issued to the virtual power plant, and is issued to each device after being decomposed by the virtual power plant energy control system.
Step 5), the scheduling mechanism adjusts the scheduling plan according to the actual execution condition and compensates the controllable load according to a preset rule, and the method specifically comprises the following steps:
5.1 the scheduling mechanism adjusts the scheduling plan: and in order to ensure the safety of the power grid, the scheduling mechanism can adjust the schedulable power utilization and power generation plans of the other resources, and increase or reduce the power utilization and power generation amount of the other resources according to the execution deviation amount and the remaining schedulable amount of the other resources.
5.2 compensating the controllable load providing the peak shaving auxiliary service: the following calculation mode is adopted for the intra-area scheduling and the long-distance scheduling to compensate the peak-shaving auxiliary service provided by the controllable load.
The controllable load is obtained by the following steps:
Figure BDA0002756986920000031
Figure BDA0002756986920000032
wherein:
Figure BDA0002756986920000033
representing the planned invocation load of the controllable load i during the time period t,
Figure BDA0002756986920000034
represents the clearing price of the ancillary services market,
Figure BDA0002756986920000035
indicating the adjusted load of the dispatching mechanism on the controllable load i in the time period t.
Degree of said execution deviation amount
Figure BDA0002756986920000036
Wherein:
Figure BDA0002756986920000037
indicating that the controllable load i actually calls power during the period t,
Figure BDA0002756986920000038
representing the scheduled call power.
The compensation specifically comprises the following steps:
Figure BDA0002756986920000039
wherein: t is tSchedulingThe duration of the clearing period is 0.25 hours;
Figure BDA00027569869200000310
for the price of the peak shaver compensation, for the compensation price of the last resource to meet the peak shaver demand,
Figure BDA00027569869200000311
indicating the maximum degree of deviation that is acceptable.
5.3 compensation of the controllable load providing the spare capacity: the spare auxiliary service provided by the controllable load is compensated by the following calculation mode in both the regional dispatching and the long-distance dispatching
Figure BDA00027569869200000312
Figure BDA00027569869200000313
The price for the backup compensation, the complement of the last resource to meet the backup demand,
Figure BDA00027569869200000314
the load is the controllable load i and is marked in the t time period; electric quantity compensation of controllable load during calling
Figure BDA00027569869200000315
Wherein:
Figure BDA00027569869200000316
for the clearing price of the standby market during the time period t,
Figure BDA00027569869200000317
the amount of power called for the controllable load i during the time period t.
The invention relates to a system for realizing the method, which comprises the following steps: the system comprises an information acquisition unit, an in-region scheduling unit, a judgment unit, a long-distance scheduling unit and an integrated execution unit, wherein: the information acquisition unit acquires the scheduling information of the controllable load and other auxiliary service resources and the auxiliary service requirements of each area, is connected with the scheduling unit in the area and transmits the auxiliary service requirements and the resource scheduling information of each area; the in-region scheduling unit determines an in-region scheduling plan and an adjusting condition of controllable load resources of each region according to a preset rule, is connected with the judging unit and transmits auxiliary service requirements in each region and in-region scheduling plan information of each region, and is connected with the integrated executing unit and transmits the in-region scheduling plan and the adjusting condition of each region; the judging unit judges whether to carry out long-distance scheduling or not by comparing the intra-area scheduling plan and the demand of each area, carries out long-distance scheduling when the resource shortage condition occurs in the area, is connected with the long-distance scheduling unit and transmits whether to carry out long-distance scheduling judgment, the resource shortage condition of each area and the intra-area scheduling plan; the long-distance scheduling unit determines the resource shortage condition of each region and determines the long-distance scheduling plan and the adjustment condition of the controllable load of the resource surplus region according to a preset rule, and is connected with the integrated execution unit and transmits the long-distance scheduling plan information and the adjustment condition; the integrated execution unit integrates the intra-area and long-distance scheduling plans of each area and compensates the controllable load according to the execution condition.
Technical effects
The invention integrally solves the technical problems that the prior art can not realize the regional dispatching and the long-distance dispatching of the controllable load.
Compared with the prior art, the method and the device have the advantages that the compensated scheduling is carried out on the controllable load within the area and in the long distance, the auxiliary service requirement of the area is ensured, and the area mutual aid of the controllable load resource can be realized.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a structural diagram of a long-distance optimized scheduling system for controllable load resources according to the present invention.
Detailed Description
As shown in fig. 1, a method for implementing long-distance optimized scheduling of controllable load resources according to this embodiment is implemented by taking intra-regional scheduling and long-distance scheduling of a controllable load in an area a of an area power grid as an example, and includes the following steps:
step 1) determining peak shaving requirements of area A
Region a requires 140MW of peak shaver resources for a certain 15 minute period.
The controllable load is firstly scheduled through an A area scheduling mechanism. The information of the controllable load and other units is shown in the following table:
Figure BDA0002756986920000041
Figure BDA0002756986920000051
the A-region scheduling mechanism can sequence the controllable load and the compensation price of other resources in each time period from high to low until the peak regulation requirement in the time period is met, so as to obtain the controllable load in the A region and the regional scheduling plan of other units, and the following table shows that:
Figure BDA0002756986920000052
the compensation price of the A-area peak regulation auxiliary service is the compensation price of the last resource meeting the peak regulation requirement, and is 360 ″/MWh. The peak regulation resources in province A still remain, and when the resource shortage situation occurs in other areas, the resources in area A can participate in the long-distance scheduling support resource shortage area.
Step 2) peak regulation shortage of 120MW appears in B regional power grid
And the B region carries out long-distance scheduling on the long-distance peak-shaving resources in the A, C and D regions with other resource surplus. A. C, D are shown in the following table.
Figure BDA0002756986920000053
The B area scheduling mechanism can sequence the controllable loads of other areas and the compensation prices of other units in each time period from high to low until the peak regulation requirement of the B area in the time period is met, and long-distance scheduling plans of the controllable loads of the A area, the C area and the D area and other units are obtained, and are shown in the following table.
Figure BDA0002756986920000061
The compensation price of the peak regulation auxiliary service scheduled in the long distance in the B area is the compensation price of the last resource meeting the peak regulation requirement, and is 370 Rth/MWh.
And the B area power grid sends the long-distance dispatching plan to the A and other area dispatching mechanisms, and the A area dispatching mechanism integrates the in-area dispatching plan and the long-distance dispatching plan to form a final dispatching plan. The scheduling plan of the controllable load and the actual execution of the clearing result are shown in the following table:
Figure BDA0002756986920000062
the energy storage 1 provides less peak load regulation of 5MW in the long-distance scheduling process because of the energy storage; the charging station aggregator 1 for its own reasons provides less peak load of 2MW during long distance dispatch. The scheduling means adjusts the power consumption plans of the controllable load 2 and the controllable load 1 according to the situation, so that the controllable load 2 is scheduled with 5MW more long-distance scheduled loads than the plan, and the controllable load 1 is scheduled with 2MW more long-distance scheduled loads than the plan.
And compensating according to the actual calling condition. Assuming an acceptable maximum deviation of 40%, the compensation results are shown in the following table:
Figure BDA0002756986920000071
the controllable load realizes paid calling of the controllable load through the long-distance scheduling technology provided by the invention, and not only can provide paid auxiliary service for sub-area power grids to which the controllable load belongs; meanwhile, when the resources of other subregions in the region are in shortage, the auxiliary service market can provide support for the other subregions, and the operation pressure of regional units is relieved.
Through specific example analysis, by adopting the controllable load scheduling technology in the peak shaving auxiliary service, the controllable load can provide peak shaving capacity for the area where the controllable load is located, and can also provide support for other areas where peak shaving resources are in short supply in the area, so that long-distance mutual assistance of the controllable load resources is realized.
In conclusion, the method realizes paid calling of the controllable load by performing regional and long-distance optimized scheduling on the controllable load, realizes optimized configuration and complementary economy of power resources, and relieves the operating pressure of a power grid.
The foregoing embodiments may be modified in many different ways by those skilled in the art without departing from the spirit and scope of the invention, which is defined by the appended claims and all changes that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims (5)

1. A controllable load resource long distance optimization scheduling implementation method is characterized by comprising the following steps:
step 1) a regional power grid dispatching mechanism determines the type and auxiliary service information of controllable loads participating in long-distance dispatching;
step 2) the regional power grid dispatching mechanism determines auxiliary service requirements in the region, and determines a regional dispatching plan with controllable load according to a preset rule, wherein the regional dispatching plan specifically comprises the following steps: the controllable loads are preferentially scheduled by the regional power grid scheduling mechanism to which the controllable loads belong, the regional power grid scheduling mechanism determines the auxiliary service requirements in the region, and the controllable loads and the schedulable capacities of other units in each scheduling period are sequenced from high to low according to the compensation price until the auxiliary service requirements in the region are met;
step 3) the regional power grid dispatching mechanism determines the resource shortage condition in the region, and determines the long-distance dispatching plan of the controllable load according to a preset rule, wherein the method specifically comprises the following steps:
3.1 the regional scheduling mechanism determines the resource shortage condition of each sub-region in the region: when the resource shortage situation occurs in the region, the long-distance scheduling is carried out on the resources of the power grid in the region with other resource surplus; when the resource surplus occurs in the region, the resources in the region can be scheduled for a long distance by a power grid in the region with resource shortage;
3.2, determining a controllable load long-distance scheduling plan, and determining a long-distance scheduling demand through a power grid in a resource shortage region, and determining scheduling information of controllable loads and an intra-region scheduling plan of other regional power grids participating in long-distance scheduling through the power grid in the resource shortage region in sequence; finally, the controllable load and the schedulable capacity of other units are sequenced from high to low in each scheduling period according to the compensation price until the auxiliary service requirement of the resource shortage area is met, and the long-distance scheduling plan of the controllable load and the other units is obtained;
step 4), the regional power grid dispatching mechanism integrates the regional and long-distance dispatching plans and issues the dispatching plans to all controllable loads, and the method specifically comprises the following steps:
4.1 scheduling plan integration: the regional power grid dispatching mechanism issues the dispatching plan to each regional power grid dispatching mechanism, and the regional power grid dispatching mechanism obtains a controllable load total day 96-point planned power utilization curve, namely
Figure FDA0003561515950000011
Wherein:
Figure FDA0003561515950000012
representing the planned power load, the reference power load, the dispatching planned load in the region and the long-distance dispatching planned load of the regional power grid of the controllable load i in the kth 15-minute time period;
4.2 power utilization plan issuing: each regional power grid dispatching mechanism issues the clearing result to each type of controllable load resource, and the power curve of a user with large load is issued to equipment; the charging curve of the charging station aggregator is issued to the charging station aggregator, the charging curve is decomposed and then issued to each electric vehicle charging station, and the charging stations send signals to an electric vehicle-mounted charger through the charging piles so as to adjust the charging power of a plurality of vehicles at the terminal; the power curve of the load aggregator is transmitted to the load aggregator, and the load aggregator control management system considers the constraint conditions of the polymerization monomers to decompose and then transmits the decomposed products to the polymerized independent equipment; the power curve of the virtual power plant is issued to the virtual power plant, and is issued to each device after being decomposed by the virtual power plant energy control system;
step 5), the scheduling mechanism adjusts the scheduling plan according to the actual execution condition and compensates the controllable load according to a preset rule, and the method specifically comprises the following steps:
5.1 the scheduling mechanism adjusts the scheduling plan: the scheduling mechanism adjusts the power utilization and power generation plans of the rest schedulable resources, and increases or decreases the power utilization and power generation amount of the rest resources according to the execution deviation amount and the rest adjustablility amount of the rest resources;
5.2 compensating the controllable load for providing the peak regulation auxiliary service: the intra-area and long-distance scheduling adopt the following calculation modes to compensate the peak regulation auxiliary service provided by the controllable load;
5.3 compensation of the controllable load providing the spare capacity: the regional and long-distance scheduling compensates for standby auxiliary services provided by controllable loads in a manner calculated to compensate for standby services provided by the controllable loads
Figure FDA0003561515950000021
The price to be compensated for the standby, the price to be compensated for the last resource to meet the standby demand,
Figure FDA0003561515950000022
a planned backup load for the controllable load i during a time period t; electric quantity compensation of controllable load during calling
Figure FDA0003561515950000023
Wherein:
Figure FDA0003561515950000024
the price to be compensated for the standby, the price to be compensated for the last resource to meet the standby demand,
Figure FDA0003561515950000025
the amount of power called for the controllable load i during the time period t.
2. The method for implementing long-distance optimized scheduling of controllable load resources according to claim 1, wherein the step 1 specifically comprises:
1.1 determining controllable load type: the system comprises controllable large-load users, electric vehicle charging station aggregators, load aggregators, energy storage and virtual power plants;
1.2, determining auxiliary service information of the controllable loads, and sequentially determining the aggregate resource capacity, the aggregate maximum charging power and discharging power, the reference daily power curve and discharging curve and the intention compensation price of each type of controllable load; determining the charging time and the charging range of a charging station aggregator; determining the charging time and the charging range of stored energy, the conversion efficiency and the daily maximum charging and discharging times; and determining the polymerization power regulation rate and daily maximum charging and discharging times of the virtual power plant.
3. The method for realizing the long-distance optimized scheduling of the controllable load resources as claimed in claim 2, wherein the reference daily power curve is determined by: calculating each 15-minute time interval according to the time sequence by taking each 15 minutes as a time interval by the reference daily electricity consumption curve; the reference electric load of each time interval is the arithmetic average of the electric loads of the same time interval in the last 15 days in which the controllable load users do not participate in the auxiliary service market; the reference electric loads of the load aggregators, the electric vehicle charging station aggregators and the virtual power plants are the sum of the reference electric loads of the aggregated resources, namely
Figure FDA0003561515950000026
Wherein:
Figure FDA0003561515950000027
a reference electricity load representing the controllable load i at the kth 15-minute period;
Figure FDA0003561515950000028
indicating the power load of the controllable load i on the j' th day of the last 15 days that did not participate in the auxiliary service market.
4. The controllable load resource long-distance optimal scheduling implementation method according to claim 1, wherein the controllable load specifically comprises:
Figure FDA0003561515950000031
wherein:
Figure FDA0003561515950000032
representing the planned invocation load of the controllable load i during the time period t,
Figure FDA0003561515950000033
the load of the original plan scheduling is shown,
Figure FDA0003561515950000034
the load is adjusted by a dispatching mechanism to the controllable load i in the t period;
degree of said execution deviation amount
Figure FDA0003561515950000035
Wherein:
Figure FDA0003561515950000036
indicating that the controllable load i actually calls power during the period t,
Figure FDA0003561515950000037
represents a planned call power;
the compensation specifically comprises the following steps:
Figure FDA0003561515950000038
wherein: t is tSchedulingThe duration of the scheduling period is 0.25 hour;
Figure FDA0003561515950000039
indicating the maximum degree of deviation that is acceptable,
Figure FDA00035615159500000310
the price for peak shaver compensation.
5. A long distance optimized dispatching system for controllable load resource, which implements the method of any one of the preceding claims, comprising: the system comprises an information acquisition unit, an in-region scheduling unit, a judgment unit, a long-distance scheduling unit and an integrated execution unit, wherein: the information acquisition unit acquires the scheduling information of the controllable load and other auxiliary service resources and the auxiliary service requirements of each area, is connected with the scheduling unit in the area and transmits the auxiliary service requirements and the resource scheduling information of each area; the in-region scheduling unit determines an in-region scheduling plan and an adjusting condition of controllable load resources of each region according to a preset rule, is connected with the judging unit and transmits auxiliary service requirements in each region and in-region scheduling plan information of each region, and is connected with the integrated executing unit and transmits the in-region scheduling plan and the adjusting condition of each region; the judging unit judges whether to carry out long-distance scheduling or not by comparing the intra-area scheduling plan and the demand of each area, carries out long-distance scheduling when the resource shortage condition occurs in the area, is connected with the long-distance scheduling unit and transmits whether to carry out long-distance scheduling judgment, the resource shortage condition of each area and the intra-area scheduling plan; the long-distance scheduling unit determines the resource shortage condition of each region and determines the long-distance scheduling plan and the adjustment condition of the controllable load of the resource surplus region according to a preset rule, and is connected with the integrated execution unit and transmits the long-distance scheduling plan information and the adjustment condition; the integrated execution unit integrates the intra-area and long-distance scheduling plans of each area and compensates the controllable load according to the execution condition.
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