Urban power grid flexible resource calling analysis method and system based on cost per kilowatt-hour

Abstract

The invention discloses an urban power grid flexible resource calling analysis method and system based on cost of kilowatt-hour, and relates to the technical field of power resource calling, and the key points of the technical scheme are that the method comprises the steps: carrying out the classification according to the load characteristics of different flexible adjustment resources; analyzing an input return difference value before and after each flexible adjustment resource participates in supply insurance, and determining a compensation price interval for each flexible adjustment resource to call one kilowatt-hour electricity according to the input return difference value; the adjustable potential of each flexible adjustment resource on the datum line is analyzed, and the actual adjustable capability range of each flexible adjustment resource is determined according to the product of the adjustable potential and the compensation price interval; and sequentially arranging the lower limits of the actual adjustable capability range from large to small to obtain a calling information table of each flexible adjustment resource. According to the method, the calling cost and the adjustment capability of each flexible resource can be sorted, and front-line personnel can conveniently and quickly select the flexible resources for adjustment according to supply insurance conditions and actual requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power resource calling, and more specifically, to a method and system for analyzing the calling of flexible resources of an urban power grid based on the cost per kilowatt-hour. Background Art

[0002] With the booming global economy and the continuous increase in population, the demand for electricity is rising, and the power system is facing increasingly serious challenges. At the same time, the "30-60" energy transformation goal has been established, and the continuous increase in the proportion of new energy has exacerbated the uncertainty of internal supply on the power supply side. Factors such as the growing power load, large-scale centralized grid connection of new energy, extreme weather and natural disasters will continue to increase the difficulty of power system supply. As the load center, the urban power grid will bear the brunt, but fortunately, there are massive distributed resources scattered in today's super-large cities and there is huge potential for regulation.

[0003] However, there is currently no reliable basis for the distribution characteristics, response characteristics, aggregation methods, and collaborative scheduling mechanisms of massive flexible resources, making it difficult to accurately measure the potential regulation capabilities and call costs of massive flexible resources, and it is very difficult for front-line personnel to select flexible resources to participate in regulation.

[0004] Therefore, how to study and design a flexible resource call analysis method and system for urban power grids based on the cost per kilowatt-hour that can overcome the above-mentioned defects is a problem that we urgently need to solve. Summary of the invention

[0005] In order to address the deficiencies in the prior art, the purpose of the present invention is to provide an urban power grid flexible resource call analysis method and system based on the cost per kilowatt-hour, using the profit per kilowatt-hour generated by flexible resources when not participating in regulation plus a compensation price as the cost per kilowatt-hour for calling flexible resources, and considering the adjustable potential of each flexible resource, the call cost and adjustment capacity of each flexible resource are ranked, so that front-line personnel can conveniently and quickly select flexible resources for adjustment according to the supply situation and actual needs.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions:

[0007] In the first aspect, a method for analyzing the flexible resource call of an urban power grid based on the cost of electricity is provided, comprising the following steps:

[0008] Obtain the flexible adjustment resources that can participate in power supply guarantee in the urban distribution network, and classify them according to the load characteristics of different flexible adjustment resources;

[0009] Analyze the difference in input and return of each flexible adjustment resource before and after it participates in the supply guarantee, and determine the compensation price range for each flexible adjustment resource to call for one kilowatt-hour of electricity based on the difference in input and return;

[0010] Analyze the adjustable potential of each flexible adjustable resource on the baseline, and determine the actual adjustable capacity range of each flexible adjustable resource by multiplying the adjustable potential by the compensation price range;

[0011] The lower limits of the actual adjustable capacity range are arranged in order from large to small to obtain a call information table of each flexible adjustment resource.

[0012] Furthermore, the flexible adjustment resources are divided into industrial load, commercial load, electric vehicle charging load and energy storage.

[0013] Furthermore, if the flexible adjustment resource is an industrial load or a commercial load, the process of analyzing the difference in investment return before and after each flexible adjustment resource participates in the supply guarantee is specifically as follows:

[0014] Analyze the return on investment of each flexible regulation resource in the urban distribution network before it participates in power supply guarantee;

[0015] Analyze the return on investment of each kilowatt-hour of electricity generated by the flexible adjustment resources in the urban distribution network after they participate in the power supply guarantee;

[0016] The investment return difference is determined based on the difference between the investment return generated by one kilowatt-hour of electricity before the flexible adjustment resources participate in the power supply guarantee and the investment return generated by one kilowatt-hour of electricity after the corresponding flexible adjustment resources participate in the power supply guarantee.

[0017] Furthermore, the specific process of the return on investment analysis of one kilowatt-hour of electricity generated by the flexible adjustment resources before participating in the power supply guarantee is as follows:

[0018] Calculate the return on investment of hourly industrial load or commercial load, excluding electricity cost, before participating in power supply regulation through hourly industrial load or commercial load income and hourly industrial load or commercial load cost;

[0019] Calculate the electricity cost of industrial or commercial load per hour before participating in the power supply guarantee;

[0020] Calculate the return on investment per kilowatt-hour of industrial load or commercial load before the industrial load or commercial load participates in the power supply regulation;

[0021] And / or, the specific process of analyzing the return on investment per kilowatt-hour of electricity generated after the flexible adjustment resources participate in the power supply guarantee is:

[0022] Calculate the return on investment of hourly industrial load or commercial load after participating in power supply regulation, excluding electricity costs, through hourly industrial load or commercial load revenue and hourly industrial load or commercial load costs;

[0023] Calculate the electricity cost of industrial or commercial load per hour after participating in the power supply guarantee;

[0024] Calculate the return on investment of industrial load or commercial load per kilowatt-hour after the industrial load or commercial load participates in power supply regulation.

[0025] Furthermore, if the flexible adjustment resource is an electric vehicle charging load, the difference in investment return before and after the flexible adjustment resource participates in the supply guarantee is the cost per kilowatt-hour of the electric vehicle charging load.

[0026] Furthermore, the calculation process of the electric vehicle charging load electricity cost is specifically as follows:

[0027] Calculate the state of charge of the i-th electric vehicle in the j-th charging station in the urban distribution network after the end of driving as its initial state of charge when entering the network

[0028] Calculate the charging time of the i-th electric vehicle at the j-th charging station in the urban distribution network power consumption and charging costs

[0029] Calculate the total power W consumed by electric vehicles charging at the jth charging station in the urban distribution network during the peak period before participating in the power supply regulation c,all And all the charging costs F c,all ;

[0030] The electric vehicle charging load cost per kilowatt-hour is calculated based on the electric vehicle charging time-of-use electricity price corresponding to the charging period.

[0031] Furthermore, if the flexible adjustment resource is energy storage, the difference in investment return before and after the flexible adjustment resource participates in the supply guarantee is the energy storage electricity cost.

[0032] Furthermore, the calculation process of the energy storage electricity cost is specifically as follows:

[0033] Calculate the initial investment cost of energy storage, including the total cost of energy storage design, energy storage hardware procurement, energy storage control software procurement and energy storage construction;

[0034] Calculate the operation and maintenance costs of energy storage, including capacity maintenance costs, power maintenance costs, and labor operation costs;

[0035] Calculate the cost of power loss, including all costs of charging and discharging energy storage from the grid and the costs of charging and discharging energy storage from other energy sources;

[0036] Calculate the amount of electricity that can be connected to the grid over the entire life cycle of the energy storage system;

[0037] The ratio of total investment to total grid-connected electricity is taken as the cost per kilowatt-hour of the energy storage system.

[0038] Furthermore, the process of determining the compensation price range for each flexible adjustment resource to call one kilowatt-hour of electricity according to the difference in investment return is specifically as follows:

[0039] The difference in investment return is used as the lower limit of the compensation price range, and the corresponding compensation price range is determined in combination with the preset upper limit of the compensation price.

[0040] In a second aspect, a system for analyzing the flexible resource call of an urban power grid based on the cost of electricity is provided. The system is used to implement the method for analyzing the flexible resource call of an urban power grid based on the cost of electricity as described in any one of the first aspects, including:

[0041] The load classification module is used to obtain the flexible adjustment resources that can participate in the power supply guarantee in the urban distribution network, and classify them according to the load characteristics of different flexible adjustment resources;

[0042] The input analysis module is used to analyze the difference in input and return of each flexible adjustment resource before and after it participates in the supply guarantee, and determine the compensation price range for each flexible adjustment resource to call one kilowatt-hour of electricity based on the difference in input and return;

[0043] The adjustment analysis module is used to analyze the adjustable potential of each flexible adjustment resource on the baseline, and determine the actual adjustable capacity range of each flexible adjustment resource by multiplying the adjustable potential by the compensation price range;

[0044] The information generation module is used to arrange the lower limits of the actual adjustable capacity range in order from large to small to obtain a call information table of each flexible adjustment resource.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The method for analyzing the call of flexible resources in urban power grids based on the cost per kilowatt-hour of electricity provided by the present invention adopts the profit per kilowatt-hour generated by flexible resources when not participating in regulation plus the compensation price as the cost per kilowatt-hour of calling flexible resources, and considers the adjustable potential of each flexible resource, and ranks the call cost and adjustment capacity of each flexible resource, so as to facilitate front-line personnel to quickly and conveniently select flexible resources for adjustment according to the supply guarantee situation and actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0048] Figure 1 is a flow chart of Embodiment 1 of the present invention;

[0049] Figure 2 It is a system block diagram in Example 2 of the present invention. DETAILED DESCRIPTION

[0050] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0051] Embodiment 1: A method for analyzing the flexible resource call of an urban power grid based on the cost of electricity. Figure 1 As shown, the following steps are included:

[0052] S1: Obtain the flexible adjustment resources that can participate in power supply guarantee in the urban distribution network, and classify them according to the load characteristics of different flexible adjustment resources;

[0053] S2: Analyze the difference in input and return of each flexible adjustment resource before and after it participates in the supply guarantee, and determine the compensation price range for each flexible adjustment resource to call for one kilowatt-hour of electricity based on the difference in input and return;

[0054] S3: Analyze the adjustable potential of each flexible adjustable resource on the baseline, and determine the actual adjustable capacity range of each flexible adjustable resource by multiplying the adjustable potential by the compensation price range;

[0055] S4: Arrange the lower limits of the actual adjustable capacity range in order from large to small to obtain a call information table of each flexible adjustment resource.

[0056] In step S1, the adjustable flexible resources in the urban power grid can be divided into four categories: industrial load, commercial load, electric vehicle load, and energy storage according to the characteristics of the urban power grid load.

[0057] Industrial loads include metal smelting and rolling processing, equipment manufacturing, non-metallic mineral manufacturing, light processing, etc. Industrial loads are divided into high-energy-consuming industrial loads, piece-rate light processing industrial loads and discontinuous production industrial loads according to the production characteristics of different industrial enterprises.

[0058] Commercial loads include commercial complexes, entertainment venues, office buildings, etc.

[0059] Electric vehicle charging load and energy storage are directly controlled loads.

[0060] In step S2, there are certain differences in calculating the return on investment difference for industrial loads, commercial loads, electric vehicles, and energy storage.

[0061] If the flexible adjustment resource is an industrial load or a commercial load, the process of analyzing the difference in investment returns before and after each flexible adjustment resource participates in the power supply guarantee is specifically as follows: analyzing the investment return generated by one kilowatt-hour of electricity of each flexible adjustment resource in the urban distribution network before participating in the power supply guarantee; analyzing the investment return generated by one kilowatt-hour of electricity of each flexible adjustment resource in the urban distribution network after participating in the power supply guarantee; determining the investment return difference based on the difference between the investment return generated by one kilowatt-hour of electricity before the flexible adjustment resources participate in the power supply guarantee and the investment return generated by one kilowatt-hour of electricity after the corresponding flexible adjustment resources participate in the power supply guarantee.

[0062] If the flexible adjustment resource is the electric vehicle charging load, then the difference in investment return before and after the flexible adjustment resource participates in the supply guarantee is the electric vehicle charging load electricity cost.

[0063] If the flexible adjustment resource is energy storage, then the difference in investment return before and after the flexible adjustment resource participates in supply guarantee is the energy storage electricity cost.

[0064] 1. Analysis on the flexible adjustment of resources before participating in power supply guarantee

[0065] (1) Calculation of the return on investment of industrial loads before the power supply is guaranteed

[0066] 1) High-energy-consuming industrial loads: Typical high-energy-consuming industries include electrolytic aluminum, steel smelting, ferroalloy processing, industrial silicon preparation, etc. The above industries generally adopt continuous working system, stable load and large electricity consumption. The following takes the electrolytic aluminum industry as an example to calculate the return on investment per kilowatt-hour of high-energy-consuming industrial loads.

[0067] The hourly return on investment of electrolytic aluminum excluding electricity cost is calculated by using the hourly electrolytic aluminum revenue and hourly electrolytic aluminum cost:

[0068]

[0069] in, It represents the hourly return on investment of electrolytic aluminum excluding electricity cost before participating in the power supply regulation; It represents the hourly income of electrolytic aluminum before participating in the power supply guarantee; It represents the cost of electrolytic aluminum excluding electricity cost before participating in the power supply guarantee, including alumina raw material cost, prebaked anode cost, auxiliary material cost, labor cost, depreciation, etc.; i represents the i-th high-energy-consuming industrial enterprise in the urban distribution network.

[0070] Calculate the electricity cost of electrolytic aluminum per hour before participating in the power supply guarantee:

[0071]

[0072] in, It represents the electricity cost per hour for electrolytic aluminum; Indicates the electricity consumption of electrolytic aluminum per hour; It refers to the non-catalog electricity price for industrial users before participating in the electricity supply regulation.

[0073] Calculate the return on investment per kilowatt-hour of the electrolytic aluminum industry load before participating in power supply regulation:

[0074]

[0075] in, It represents the return on investment per kilowatt-hour of the electrolytic aluminum industry load before it participates in the electricity supply regulation.

[0076] 2) Piece-rate light processing industry load: Typical light processing industries include food industry, textile industry, leather industry, daily chemical industry, etc. The above industries also adopt continuous working system, and the load is relatively stable. The revenue of light processing industry is usually calculated by piece-rate.

[0077] Through the number of processed goods per hour, the income of a single commodity and the production cost of a single commodity, the return on investment of processed goods per hour before participating in the power supply regulation, excluding the electricity cost, is calculated:

[0078]

[0079] in, It represents the return on investment per hour of processed goods excluding electricity costs before participating in power supply regulation; It represents the income of producing a single commodity before participating in the regulation of power supply; It represents the production cost of a single commodity before participating in the power supply regulation, including raw material cost, loss cost, auxiliary material cost, labor cost, depreciation, etc.; b Represents the number of goods produced per hour; i represents the i-th piece-rate light industrial processing enterprise in the urban distribution network.

[0080] Calculate the electricity cost per hour of producing goods before participating in power supply regulation:

[0081]

[0082] in, It represents the electricity cost per hour of producing goods before participating in the electricity supply regulation; It indicates the electricity consumption per hour of producing goods before participating in the electricity supply regulation; It indicates the electricity price of general industrial sectors before participating in the electricity supply adjustment.

[0083] Calculate the return on electricity investment of the light industry before participating in the power supply regulation:

[0084]

[0085] in, It represents the return on electricity investment per kilowatt-hour of the light industry load before participating in the electricity supply regulation.

[0086] 3) Non-continuous production industrial load: Typical non-continuous production industries include general equipment manufacturing, special equipment manufacturing, transportation equipment manufacturing, cement industry, etc. The above industries usually adopt non-continuous working system, and the peak-to-valley difference of load is large. When calling this type of flexible resources, the calling cost of peak load and trough load should be considered separately.

[0087] Through the revenue of products produced per hour during peak electricity consumption period and the cost of products produced per hour during peak electricity consumption period, the return on investment of products produced per hour during peak electricity consumption period before participating in power supply guarantee and regulation, excluding electricity cost, is calculated:

[0088]

[0089] in, It represents the return on investment of products produced per hour during peak hours before participating in power supply regulation, excluding electricity costs; It represents the revenue of products produced per hour during the peak electricity consumption period before participating in the electricity supply guarantee and regulation; It represents the cost of producing products excluding electricity costs during peak hours before participating in the electricity supply regulation, including production raw material costs, auxiliary material costs, labor costs, process costs, warehousing and logistics costs, depreciation, etc.; i represents the i-th non-continuous production industrial enterprise in the urban distribution network.

[0090] Calculate the electricity cost of producing products per hour during peak hours before participating in power supply regulation:

[0091]

[0092] in, It represents the hourly electricity cost of producing products during the peak hours before participating in the electricity supply guarantee and regulation; It indicates the electricity consumption of the products produced per hour before participating in the electricity supply regulation; It indicates the electricity price of general industrial sectors before participating in the electricity supply adjustment.

[0093] Calculate the return on investment of non-continuous production industries during peak hours before they participate in power supply regulation. Since non-continuous production industries hardly produce during low-consumption hours, no return on investment is generated.

[0094]

[0095] in, It represents the return on investment of products produced per hour during the peak electricity consumption period before participating in the electricity supply regulation.

[0096] (2) Calculation of electricity cost per kilowatt-hour for commercial load

[0097] The business hours of commercial users are relatively fixed. The business hours are the peak hours of electricity consumption, and the non-business hours are the low hours of electricity consumption, which has obvious peak-valley characteristics. The loads during the low-consumption period are safety loads, such as monitoring equipment, alarm systems, fire alarm systems, etc., as well as continuous operation loads, such as refrigeration systems, oxygen supply systems, etc. The above loads are the minimum guaranteed loads for commercial users. Therefore, the loads of commercial users during the low-consumption period cannot be flexibly called. The loads during the peak hours of electricity consumption are mainly operating loads, such as venue lighting, afterimage equipment, entertainment equipment, air-conditioning systems, elevators, etc., among which the air-conditioning load accounts for the largest proportion and is mainly involved in regulation during the peak hours of electricity consumption.

[0098] The hourly operating income and hourly operating cost of commercial users during peak electricity consumption periods are used to calculate the return on investment of hourly operations during peak electricity consumption periods excluding electricity costs before participating in power supply regulation:

[0099]

[0100] in, It represents the hourly investment return of commercial users excluding electricity costs during peak hours before participating in power supply regulation; It represents the hourly operating income of commercial users during peak hours before participating in power supply regulation; It refers to the operating costs of commercial users per hour during peak electricity consumption periods, excluding electricity costs, including rental costs, decoration costs, operating costs, labor costs, depreciation, etc.

[0101] Calculate the return on electricity investment for commercial users during peak hours before participating in power supply regulation:

[0102]

[0103] in, It represents the return on electricity investment per kilowatt-hour for commercial users during peak hours before participating in power supply regulation.

[0104] (3) Calculation of the electricity cost of electric vehicle charging load

[0105] The electric vehicle charging load is a directly controlled load, which is regulated during the peak hours of electricity consumption every day and has a better effect.

[0106] Calculate the state of charge of the i-th electric vehicle in the j-th charging station in the urban distribution network after the end of driving as its initial state of charge when entering the network

[0107]

[0108] in, represents the maximum state of charge of the i-th electric vehicle in the j-th charging station in the urban distribution network; represents the mileage of the i-th electric vehicle in the j-th charging station in the urban distribution network, km; represents the power consumption of the i-th electric vehicle in the j-th charging station in the urban distribution network for 100 kilometers, kWh; It represents the battery capacity of the i-th electric vehicle in the j-th charging station in the urban distribution network, kWh.

[0109] Calculate the charging time of the i-th electric vehicle at the j-th charging station in the urban distribution network power consumption and charging costs

[0110]

[0111] in, represents the charging time of the i-th electric vehicle in the j-th charging station in the urban distribution network; represents the charging efficiency of the i-th electric vehicle in the j-th charging station in the urban distribution network; represents the charging efficiency of the i-th electric vehicle in the j-th charging station in the urban distribution network; represents the charging power consumption of the i-th electric vehicle in the j-th charging station in the urban distribution network; represents the charging cost of the i-th electric vehicle in the j-th charging station in the urban distribution network; It represents the unit price of electricity charged by the i-th electric vehicle in the j-th charging station in the urban distribution network.

[0112] Calculate the total power W consumed by electric vehicles charging at the jth charging station in the urban distribution network during the peak period before participating in the power supply regulation c,all And all the charging costs F c,all :

[0113]

[0114] in, It represents all the electricity consumed by electric vehicles charging at the jth charging station in the urban distribution network during the peak period of electricity consumption; It represents all the charging costs incurred by electric vehicles that charge at the jth charging station in the urban distribution network during the peak hours of electricity consumption; It represents the number of electric vehicles that charge at the jth charging station in the urban distribution network during the peak hours.

[0115] Calculate the return on investment for electric vehicle charging:

[0116]

[0117] in, is the return on investment per kWh of electric vehicle charging load at the jth charging station in the urban distribution network; C EV,c Time-of-use electricity prices for electric vehicle charging are set by each province corresponding to the charging period.

[0118] (4) Calculation of energy storage power cost

[0119] Calculate the initial investment cost of energy storage, including the total cost of energy storage design, energy storage hardware procurement, energy storage control software procurement, energy storage construction, etc.:

[0120]

[0121] in, represents the initial investment cost of the i-th energy storage system in the urban distribution network; represents the installed capacity cost of the i-th energy storage system in the urban distribution network as the capacity changes; represents the nominal installed capacity of the i-th energy storage system in the urban distribution network; represents the discharge efficiency of the i-th energy storage system in the urban distribution network; It represents the charge and discharge depth of the i-th energy storage system in the urban distribution network during normal operation; represents the installed cost that varies with power; d(i) represents the discharge time of the i-th energy storage system at rated power in the urban distribution network.

[0122] Calculate the operation and maintenance costs of energy storage, including capacity maintenance costs, power maintenance costs, labor operation costs, etc.:

[0123]

[0124] in, represents the operation and maintenance cost of the i-th energy storage system in the urban distribution network; T(i) represents the life of the i-th energy storage system in the urban distribution network; O&M(i) represents the percentage of the annual average unit capacity operation and maintenance cost of the i-th energy storage system in the urban distribution network to the unit capacity unit price; r(i) represents the discount rate of the i-th energy storage system in the urban distribution network.

[0125] Calculate the cost of power loss, including all costs of charging and discharging energy storage from the grid, and the costs of charging and discharging energy storage from other energy sources:

[0126]

[0127] in, represents the power loss cost of the i-th energy storage system in the urban distribution network; represents the cycle efficiency of the i-th energy storage system in the urban distribution network; represents the electricity purchase price when the i-th energy storage system in the urban distribution network is charged; It represents the number of times the i-th energy storage system in the urban distribution network operates in the t-th year.

[0128] Calculate the amount of electricity that can be connected to the grid during the entire life cycle of the energy storage system:

[0129]

[0130] in, represents the online power consumption of the ith energy storage system in the urban distribution network over its entire life cycle; represents the annual average degradation rate of the i-th energy storage system in the urban distribution network.

[0131] Calculate the cost per kWh of the energy storage system. The ratio of total investment to total grid-connected electricity is the cost per kWh of the energy storage system:

[0132]

[0133] in, represents the electricity cost of the i-th energy storage system in the urban distribution network.

[0134] 2. Analysis on flexible adjustment of resources before participating in power supply guarantee

[0135] (1) Calculation of the return on investment of industrial loads after participating in power supply guarantee

[0136] 1) High energy consumption industrial load

[0137] Take the electrolytic aluminum industry as an example.

[0138] By using the hourly electrolytic aluminum revenue and hourly electrolytic aluminum cost, the hourly electrolytic aluminum investment return is calculated excluding the electricity cost:

[0139]

[0140] in, It represents the return on investment of electrolytic aluminum per hour after participating in the power supply guarantee, excluding the electricity cost; Indicates the hourly electrolytic aluminum revenue from participating in power supply guarantee; It represents the cost of electrolytic aluminum excluding electricity cost after participating in the power supply guarantee; i represents the i-th high-energy-consuming industrial enterprise in the urban distribution network.

[0141] Calculate the electricity cost of electrolytic aluminum per hour after participating in the power supply guarantee adjustment:

[0142]

[0143] in, It represents the hourly electricity cost of electrolytic aluminum after participating in the power supply regulation; It indicates the electricity consumption of electrolytic aluminum per hour after participating in the power supply regulation; Indicates the electricity price after adjustment for power supply security.

[0144] Calculate the return on investment per kilowatt-hour of the electrolytic aluminum industry load after participating in the power supply regulation:

[0145]

[0146] in, It represents the return on investment per kilowatt-hour of electricity after the electrolytic aluminum industry load participates in the electricity supply regulation.

[0147] 2) Piece-rate light industrial processing load

[0148] Calculate the return on investment per hour of processing goods after participating in the power supply regulation, excluding the electricity cost.

[0149]

[0150] in, It represents the return on investment per hour of processing goods after participating in the power supply regulation, excluding the electricity cost; It represents the income from producing a single commodity after participating in the regulation of electricity supply; Represents the production cost of a single commodity after participating in the power supply regulation; n a It represents the number of goods produced per hour after participating in the electricity supply regulation; i represents the i-th piece-rate light industrial processing enterprise in the urban distribution network.

[0151] Calculate the electricity cost per hour of producing goods before participating in power supply regulation:

[0152]

[0153] in, It represents the electricity cost per hour of producing goods before participating in the electricity supply regulation; It indicates the electricity consumption per hour of producing goods before participating in the electricity supply regulation; It indicates the electricity price of general industrial sectors before participating in the electricity supply adjustment.

[0154] Calculate the return on investment per kilowatt-hour of the light industry after participating in the power supply regulation:

[0155]

[0156] in, It represents the return on electricity investment per kilowatt-hour of the light industry load before participating in the electricity supply regulation.

[0157] 3) Non-continuous production industrial load

[0158] Through the revenue of products produced per hour during peak electricity consumption period and the cost of products produced per hour during peak electricity consumption period, the return on investment of products produced per hour during peak electricity consumption period after participating in the power supply guarantee regulation is calculated, excluding the electricity cost.

[0159]

[0160] in, It represents the return on investment of products produced per hour during peak hours after participating in power supply and regulation, excluding electricity costs; It represents the revenue of products produced per hour during the peak electricity consumption period after participating in the electricity supply regulation; It represents the cost of producing products excluding electricity cost during peak hours after participating in power supply regulation; i represents the i-th non-continuous production industrial enterprise in the urban distribution network.

[0161] Calculate the electricity cost of producing products per hour during peak hours after participating in power supply regulation:

[0162]

[0163] in, It represents the hourly electricity cost of producing products during peak hours after participating in the electricity supply guarantee and regulation; It indicates the electricity consumption of the products produced per hour after participating in the power supply regulation; It indicates the electricity price for general industrial sectors after the adjustment of power supply security.

[0164] Calculate the return on investment of non-continuous production industries during peak hours after they participate in power supply regulation. Since non-continuous production industries hardly produce during low-consumption periods, they can be regarded as generating no return on investment.

[0165]

[0166] in, It represents the return on investment per kilowatt-hour of electricity produced per hour during peak hours after participating in electricity supply and regulation.

[0167] (2) Calculation of return on investment for commercial load electricity

[0168] Through the hourly operating income and hourly operating cost of commercial users during the peak electricity consumption period, the hourly investment return after participating in the power supply guarantee and regulation during the peak electricity consumption period excluding the electricity cost is calculated:

[0169]

[0170] in, It represents the hourly return on investment of commercial users during peak hours after participating in power supply regulation, excluding the electricity cost; It represents the hourly operating income of commercial users during peak hours after participating in power supply regulation; It represents the operating cost of commercial users per hour during peak electricity consumption period, excluding electricity cost.

[0171] Calculate the electricity cost per hour during peak hours after participating in power supply regulation:

[0172]

[0173] in, It represents the hourly electricity cost of commercial users during peak hours after participating in the electricity supply guarantee and regulation; It represents the hourly electricity consumption of commercial users during peak hours after participating in the electricity supply regulation; It represents the electricity price for commercial users during peak hours after participating in electricity supply regulation.

[0174] Calculate the return on investment per kilowatt-hour for commercial users during peak hours after participating in power supply regulation:

[0175]

[0176] in, It represents the return on electricity investment per kilowatt-hour for commercial users during peak hours after participating in electricity supply regulation.

[0177] The calculation method for the return on investment of electric vehicles and energy storage has a fixed process. The change in the return on investment per kilowatt-hour before and after participating in power supply regulation is small, that is, the return on investment per kilowatt-hour before and after participation is regarded as unchanged.

[0178] III. Analysis of the compensation price range

[0179] (1) Industrial load compensation price range

[0180] The difference in the return on electricity input before and after industrial loads participate in supply guarantee regulation is used as the minimum compensation price.

[0181]

[0182] in, It represents the minimum compensation price for industrial load, which is calculated by the difference in the return on electricity input before and after the industrial load participates in the supply guarantee regulation; represents the industrial load compensation price; Represents the price cap for industrial load demand response compensation established by the agency.

[0183] (2) Commercial load compensation price range

[0184] The minimum compensation price is the difference in the return on electricity input before and after the commercial load participates in the supply guarantee regulation.

[0185] in, It represents the minimum compensation price for commercial loads, which is calculated by the difference in the return on electricity input before and after the commercial loads participate in the supply guarantee regulation; represents the commercial load compensation price; Represents the government-specified upper limit on demand response compensation prices for commercial loads.

[0186] (3) Electric vehicle charging load compensation price range

[0187] The minimum compensation price is the return on investment per kilowatt-hour of electric vehicle charging load.

[0188]

[0189] in, It indicates the return on investment in electric vehicle charging load per kilowatt-hour; Indicates the compensation price for electric vehicle charging load participating in demand response; Represents the upper limit of compensation price for participating in demand response established by.

[0190] (4) Energy storage compensation price range

[0191] The minimum compensation price is the cost of electricity generated by the energy storage system over its entire life cycle

[0192]

[0193] in, Indicates the cost of electricity for the entire life cycle of the energy storage system; Indicates the compensation price for the energy storage system participating in demand response; Represents the upper limit of compensation price for participating in demand response established by.

[0194] In step S3, the baseline refers to the bottom line that can be used for flexible adjustment resources.

[0195] (1) Industrial load adjustable potential

[0196] X j =P j,all ·η j ,j∈[A,B,C];

[0197] Among them, X j P represents the adjustable potential of the jth type of industrial load; j,allrepresents the total load of the jth type of industry; η j represents the proportion of adjustable load in the jth type of industrial load, η A =20%,η B =35%,η C =20%.

[0198] (2) Commercial load adjustable potential

[0199] Most of the commercial loads’ adjustable potential comes from temperature control loads such as cooling and heating. The adjustable potential of air conditioning cooling and heating loads is calculated as follows:

[0200]

[0201] in, represents the response time of the i-th commercial user in the urban distribution network; represents the active load that can be reduced by the centralized air-conditioning system of the i-th commercial user in the urban distribution network; EER is the cooling energy efficiency ratio of the centralized air-conditioning system of the i-th commercial user in the urban distribution network; c represents the specific heat capacity of air; S(i) represents the cooling area of ​​the building of the i-th commercial user in the urban distribution network; H(i) represents the average floor height of the building of the i-th commercial user in the urban distribution network; ρ represents the air density; represents the maximum indoor temperature that the i-th commercial user in the urban distribution network can withstand; represents the cooling temperature set by the i-th commercial user in the urban distribution network.

[0202] (3) Electric vehicle load potential

[0203] After the electric vehicle charging pile is connected to the Internet of Vehicles, it can be regarded as an interruptible load. Its regulation potential is determined by the battery capacity and the charging and discharging power. The adjustable potential is calculated as follows:

[0204]

[0205] in, It indicates that the jth charging station in the urban distribution network can reduce the load.

[0206] In step S4, the compensation price range of each flexible resource is multiplied by the adjustable potential to obtain the actual adjustable capacity range of the flexible resource:

[0207] Y j =Price j,comp ×X j (i=A,B,C,D,EV,ESS);

[0208] According to the calculated lower limit of the actual adjustable capacity range, they are arranged in order from large to small to facilitate the calling of flexible resources. The calling information table is shown in Table 1.

[0209] Table 1 Call information table

[0210] Serial number Flexible resource name Adjustable potential / kW Economic benefit per kWh Actual adjustable capacity range 1 XX Aluminum Co., Ltd. X1 C1 <![CDATA[[Y 1.min ,AND 1.max ]]]> 2 XX Steel Plant under XX Group X2 C2 <![CDATA[[Y 2.min ,AND 2.max ]]]> 3 XX Silicon Materials Co., Ltd. X3 C3 <![CDATA[[Y 3.min ,AND 3.max ]]]> 4 XX Cement Plant X4 C4 <![CDATA[[Y 4.min ,AND 4.max ]]]> 5 XX Glass Products Manufacturing and Sales Co., Ltd. X5 C5 <![CDATA[[Y 5.min ,AND 5.max ]]]> 6 XX Commercial Center Office Building and Basement Store X6 C6 <![CDATA[[Y 6.min ,AND 6.max ]]]> 7 XX Electric Vehicle Charging Station X7 C7 <![CDATA[[Y 7.min ,AND 7.max ]]]> 8 XX Energy Storage System X8 C8 <![CDATA[[Y 8.min ,AND 8.max ]]]> … …… …… …… …… .

[0211] Working principle: The present invention uses the profit per kilowatt-hour generated by flexible resources when they are not involved in regulation plus the compensation price as the kilowatt-hour cost of calling flexible resources, and considers the adjustable potential of each flexible resource, and ranks the calling cost and adjustment capacity of each flexible resource, so that front-line personnel can conveniently and quickly select flexible resources for adjustment according to the supply situation and actual needs.

[0212] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0213] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0214] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0215] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0216] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An analysis method for flexible resource call of urban power grid based on electricity cost, characterized by: The following steps are involved: Obtain the flexible adjustment resources that can participate in power supply guarantee in the urban distribution network, and classify them according to the load characteristics of different flexible adjustment resources; Analyze the difference in input and return of each flexible adjustment resource before and after it participates in the supply guarantee, and determine the compensation price range for each flexible adjustment resource to call for one kilowatt-hour of electricity based on the difference in input and return; Analyze the adjustable potential of each flexible adjustable resource on the baseline, and determine the actual adjustable capacity range of each flexible adjustable resource by multiplying the adjustable potential by the compensation price range; The lower limits of the actual adjustable capacity range are arranged in order from large to small to obtain a call information table of each flexible adjustment resource.

2. The method for analyzing flexible resource call of urban power grid based on electricity cost according to claim 1 is characterized in that: The flexible adjustment resources are divided into industrial load, commercial load, electric vehicle charging load and energy storage.

3. The method for analyzing flexible resource call of urban power grid based on electricity cost according to claim 1 is characterized in that: If the flexible adjustment resource is an industrial load or a commercial load, the process of analyzing the difference in investment return before and after each flexible adjustment resource participates in the supply guarantee is specifically as follows: Analyze the return on investment of each flexible regulation resource in the urban distribution network before it participates in power supply guarantee; Analyze the return on investment of each kilowatt-hour of electricity generated by the flexible adjustment resources in the urban distribution network after they participate in the power supply guarantee; The investment return difference is determined based on the difference between the investment return generated by one kilowatt-hour of electricity before the flexible adjustment resources participate in the power supply guarantee and the investment return generated by one kilowatt-hour of electricity after the corresponding flexible adjustment resources participate in the power supply guarantee.

4. The method for analyzing flexible resource calls of urban power grids based on electricity cost according to claim 3 is characterized in that: The specific process of the return on investment analysis of the electricity generated by the flexible adjustment resources before participating in the power supply guarantee is as follows: Calculate the return on investment of hourly industrial load or commercial load, excluding electricity cost, before participating in power supply regulation through hourly industrial load or commercial load income and hourly industrial load or commercial load cost; Calculate the electricity cost of industrial or commercial load per hour before participating in the power supply guarantee; Calculate the return on investment per kilowatt-hour of industrial load or commercial load before the industrial load or commercial load participates in the power supply regulation; And / or, the specific process of analyzing the return on investment per kilowatt-hour of electricity generated after the flexible adjustment resources participate in the power supply guarantee is: Calculate the return on investment of the hourly industrial load or commercial load after participating in the power supply regulation, excluding the electricity cost, through the hourly industrial load or commercial load income and hourly industrial load or commercial load cost; Calculate the electricity cost of industrial or commercial load per hour after participating in the power supply guarantee; Calculate the return on investment of industrial load or commercial load per kilowatt-hour after the industrial load or commercial load participates in power supply regulation.

5. The method for analyzing flexible resource call of urban power grid based on electricity cost according to claim 1 is characterized in that: If the flexible adjustment resource is the electric vehicle charging load, then the difference in investment return before and after the flexible adjustment resource participates in the supply guarantee is the electric vehicle charging load electricity cost.

6. The method for analyzing flexible resource call of urban power grid based on electricity cost according to claim 5 is characterized in that: The specific calculation process of the electric vehicle charging load electricity cost is as follows: Calculate the state of charge of the i-th electric vehicle in the j-th charging station in the urban distribution network after the end of driving as its initial state of charge when entering the network Calculate the charging time of the i-th electric vehicle at the j-th charging station in the urban distribution network power consumption and charging costs Calculate the total power W consumed by electric vehicles charging at the jth charging station in the urban distribution network during the peak period before participating in the power supply regulation c,all And all the charging costs F c,all ; The electric vehicle charging load cost per kilowatt-hour is calculated based on the electric vehicle charging time-of-use electricity price corresponding to the charging period.

7. The method for analyzing flexible resource call of urban power grid based on electricity cost according to claim 1 is characterized in that: If the flexible adjustment resource is energy storage, then the difference in investment return before and after the flexible adjustment resource participates in the supply guarantee is the energy storage electricity cost.

8. The method for analyzing flexible resource call of urban power grid based on electricity cost according to claim 7 is characterized in that: The specific calculation process of the energy storage electricity cost is as follows: Calculate the initial investment cost of energy storage, including the total cost of energy storage design, energy storage hardware procurement, energy storage control software procurement and energy storage construction; Calculate the operation and maintenance costs of energy storage, including capacity maintenance costs, power maintenance costs, and labor operation costs; Calculate the cost of power loss, including all costs of charging and discharging energy storage from the grid and the costs of charging and discharging energy storage from other energy sources; Calculate the amount of electricity that can be connected to the grid over the entire life cycle of the energy storage system; The ratio of total investment to total grid-connected electricity is taken as the cost per kilowatt-hour of the energy storage system.

9. The method for analyzing flexible resource call of urban power grid based on electricity cost according to claim 1 is characterized in that: The process of determining the compensation price range for each flexible adjustment resource to call one kilowatt-hour of electricity according to the difference in return on investment is specifically as follows: The difference in investment return is used as the lower limit of the compensation price range, and the corresponding compensation price range is determined in combination with the preset upper limit of the compensation price.

10. The flexible resource call analysis system for urban power grid based on the cost of electricity is characterized by: The system is used to implement the urban power grid flexible resource call analysis method based on the electricity cost according to any one of claims 1 to 9, including: The load classification module is used to obtain the flexible adjustment resources that can participate in the power supply guarantee in the urban distribution network, and classify them according to the load characteristics of different flexible adjustment resources; The input analysis module is used to analyze the difference in input and return of each flexible adjustment resource before and after it participates in the supply guarantee, and determine the compensation price range for each flexible adjustment resource to call one kilowatt-hour of electricity based on the difference in input and return; The adjustment analysis module is used to analyze the adjustable potential of each flexible adjustment resource on the baseline, and determine the actual adjustable capacity range of each flexible adjustment resource by multiplying the adjustable potential by the compensation price range; The information generation module is used to arrange the lower limits of the actual adjustable capacity range in order from large to small to obtain a call information table of each flexible adjustment resource.

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