Demand-side load resource peak-shaving dispatch response method considering response characteristics

Abstract

The present invention relates to a peak-shaving scheduling response method for demand-side load resources taking into account response characteristics, comprising the following steps: analyzing the response characteristics of different types of demand-side load resources and establishing a model; aggregating different types of demand-side load resources, and establishing a peak-shaving scheduling model with the minimum peak-to-valley difference as the optimization goal, and obtaining power constraints and power constraints of different types of demand-side load resources; solving the peak-shaving scheduling model to generate a scheduling plan; the present invention obtains differentiated scheduling strategies for different types of demand-side resources on the basis of meeting the basic electricity demand of different equipment.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network planning, and in particular relates to a demand side load resource peak load regulation response method considering response characteristics. Background Art

[0002] With the continuous advancement of the new power system with new energy as the main body, the volatility and randomness generated by the access of new energy to the grid are constantly increasing. In addition, the proportion of electric energy in terminal energy consumption is increasing, which puts higher requirements on power supply. It is difficult to meet the increasingly severe grid operation needs by relying solely on the dispatching and adjustment on the power generation side. At the same time, there are a large number of demand-side load resources on the distribution network side, which have the characteristics of relatively scattered distribution, small individual capacity and low voltage level, diverse subjects, and large total resources, including electric vehicles, air-conditioned buildings, distributed energy storage, electric heating and other adjustable resources. However, due to the excessive dispersion of demand-side resources and diverse response characteristics, the dispatching efficiency of demand-side resources is seriously affected. Therefore, in order to better improve the utilization efficiency of demand-side response, it is urgent to consider the characteristics of demand-side load resources and their peak-shaving dispatching response capabilities, and build a more comprehensive and efficient power demand-side resource dispatching system. Summary of the invention

[0003] The present invention solves the technical problem by adopting the following technical solutions:

[0004] The demand side load resource peak-shaving dispatch response method considering the response characteristics includes the following steps:

[0005] Analyze the response characteristics of different types of demand-side load resources and establish models;

[0006] Aggregate different types of demand-side load resources, establish a peak-shaving scheduling model with the minimum peak-to-valley difference as the optimization goal, and obtain the power constraints and electricity constraints of different types of demand-side load resources;

[0007] The peak load scheduling model is solved to generate a scheduling plan.

[0008] Furthermore, for different types of demand-side load resources, the method of analyzing their response characteristics and establishing a model is as follows:

[0009] The demand-side load resources are divided into interruptible-fixed power load resources, non-interruptible-fixed power load resources, unconstrained-flexible adjustment load resources, and constrained-flexible adjustment load resources according to their response characteristics, and each type of resource is modeled:

[0010] 1) Interruptible-fixed power load scheduling model

[0011] Interruptible-fixed power load means that the equipment can be interrupted during operation, but the operating power needs to remain unchanged, and its load usage within the specified time must be greater than its load critical value. Its model is shown in formula (1):

[0012]

[0013] and are the power and state of the non-interruptible-fixed power load i at time t, is the rated power of the non-interruptible fixed power load i, T on and T off are the time when the device is connected to and disconnected from the network, Q zg，min Interruptible-Fixed power load iThe minimum amount of power required to complete the specified work;

[0014] 2) Non-interruptible-fixed power load scheduling model

[0015] Non-interruptible-fixed power load means that the equipment cannot be interrupted during operation, but the operating power needs to remain unchanged, and its load usage within the specified time must be greater than its load critical value; its model is shown in formula (2):

[0016]

[0017] In the formula, and are the power and state of the non-interruptible-fixed power load i at time t, is the rated power of the non-interruptible fixed power load i, T st T0 and T1 are the time when the equipment starts running and the running duration respectively. i，min The minimum amount of electricity required for a non-interruptible fixed power load i to complete the specified work;

[0018] 3) Unconstrained-Flexible Load Scheduling Model

[0019]

[0020] Where P i 3 is the unconstrained-flexible adjustment of the power of load i at time t, and are the minimum and maximum adjustable power values ​​of unconstrained and flexible load i, Q 3，min The minimum amount of electricity required to complete the specified work is adjusted flexibly without constraints. and They are respectively unconstrained and flexible to adjust the start and end time of electricity consumption of load;

[0021] 4) Constrained-Flexible Load Scheduling Model

[0022]

[0023] Where P i 4 and are the power of the constrained-flexible load i at time t and the maximum allowable power, T in,t is the indoor temperature at time t, T in,t-1 is the indoor temperature at the previous moment, η is the heat conversion efficiency, A is the equivalent resistance, T0 and T dev Set the temperature and allowable variation range for the equipment respectively.

[0024] Furthermore, the method of aggregating different types of demand-side load resources and establishing a peak-shaving scheduling model with the minimum peak-to-valley difference as the optimization goal is as follows:

[0025] The load resources on the demand side are used to participate in the response, and the peak load is reduced as much as possible. The peak load scheduling model is as follows:

[0026]

[0027] Among them, P 0,t is the original load of all demand-side resources in period t before scheduling and adjustment, P potential,t It is the sum of the dispatch potential of all demand-side resources in period t.

[0028] Furthermore, the method for solving the peak load scheduling model is as follows:

[0029] Divide the whole day evenly into several time periods;

[0030] According to different types of demand-side load resource models, the dispatchable power in each time period is obtained respectively. Aggregate to form the total demand-side load resources, the dispatchable power limit for each time period, P potential,t ;

[0031] When only power constraints are considered, the peak and valley values ​​after the demand-side resources respond to peak load shifting:

[0032]

[0033] Among them, P f ' z With P g ' z They are the peak and valley values ​​after the dispatch response respectively;

[0034] Let y = P′ fz and y = P′gz The original load curve y=P 0,t Connect the lines to obtain the initial peak-shaving interval [t xf,1 ,t xf,2 ] and the initial valley-filling interval [t tg,1 ,t tg,2 ];

[0035] Obtain the dispatchable load power of each demand-side load resource in the peak shaving interval and valley filling interval;

[0036] Considering the power constraint, determine whether the various types of demand-side load resources in this time period can meet the total dispatchable power in this time period. If not, let Continue iterating to obtain a new peak-cutting interval [t′ tg,1 ,t′ tg,2 ] and the new valley-filling interval [t′ tg,1 ,t′ tg,2 ], continue to judge whether each type of demand-side load resources in this time period can meet the total dispatchable power in this time period, repeat the above iterative judgment process until each type of demand-side load resources meets the total dispatchable power, then complete the dispatch process and obtain the final load curve:

[0037]

[0038] Among them, P 0,t is the original load curve, P fz and P gz They are the peak load and valley load after final adjustment respectively.

[0039] Furthermore, the power constraint is: at the response scheduling time point, the adjusted power of different demand side load resources at each time point must be less than the maximum dispatchable capacity of the benchmark load at each time point; the power constraint is: within the response scheduling time period for scheduling the demand side load resources, the maximum adjusted power of different demand side load resources in each continuous time period must be less than the total dispatchable power in each continuous time period corresponding to the benchmark load.

[0040] The advantages and positive effects of the present invention are:

[0041] The peak-shaving scheduling response method of demand-side load resources considering response characteristics of the present invention classifies the demand-side load resources by analyzing the response characteristics of different demand-side load resources, and then performs feature modeling for different types of demand-side load resources, with maximizing the peak-shaving response as the goal, and taking the power constraints and electricity constraints of the demand-side resources in each time period as constraints, to solve the model, and finally obtain differentiated scheduling strategies for different types of demand-side resources on the basis of meeting the basic electricity demands of different equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments, but it should be understood that these drawings are designed only for explanation purposes and are not intended to limit the scope of the present invention. In addition, unless otherwise specified, these drawings are intended only to conceptually illustrate the structural configurations described herein and are not necessarily drawn to scale.

[0043] Figure 1 A schematic diagram of a peak-shaving scheduling model of a peak-shaving scheduling response method for demand-side load resources taking into account response characteristics provided by an embodiment of the present invention;

[0044] Figure 2 A demand-side dispatchable resource quantity diagram provided by an embodiment of the present invention;

[0045] Figure 3 A typical daily load diagram provided by an embodiment of the present invention;

[0046] Figure 4 The load diagram of the demand side that can be dispatched at each moment provided by the embodiment of the present invention;

[0047] Figure 5 The total amount of demand-side resource scheduling response provided by the embodiment of the present invention;

[0048] Figure 6 Different types of demand-side resource response amounts provided by embodiments of the present invention;

[0049] in, Figure 1 In the figure, M represents the peak load after considering power and electricity constraints; N represents the peak load only considering power constraints. DETAILED DESCRIPTION

[0050] First of all, it should be noted that the specific structure, features and advantages of the present invention will be specifically described below by way of example, but all descriptions are only for illustration and should not be understood as limiting the present invention in any way. In addition, any single technical feature described or implied in the embodiments mentioned herein, or any single technical feature shown or implied in the drawings, can still be combined or deleted between these technical features (or their equivalents) to obtain more other embodiments of the present invention that may not be directly mentioned herein.

[0051] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other.

[0052] like Figure 1 The demand-side load resource peak-shaving scheduling response method considering the response characteristics provided in this embodiment includes the following steps:

[0053] Analyze the response characteristics of different types of demand-side load resources and establish models;

[0054] Aggregate different types of demand-side load resources, establish a peak-shaving scheduling model with the minimum peak-to-valley difference as the optimization goal, and obtain the power constraints and electricity constraints of different types of demand-side load resources;

[0055] The peak load scheduling model is solved to generate a scheduling plan.

[0056] Specifically, for different types of demand-side load resources, the method for analyzing their response characteristics and establishing models is as follows:

[0057] The demand-side load resources are divided into interruptible-fixed power load resources, non-interruptible-fixed power load resources, unconstrained-flexible adjustment load resources, and constrained-flexible adjustment load resources according to their response characteristics, and each type of resource is modeled:

[0058] 1) Interruptible-fixed power load scheduling model

[0059] Interruptible-fixed power load means that the equipment can be interrupted during operation, but the operating power needs to remain unchanged, and its load usage within the specified time must be greater than its load critical value. Its model is shown in formula (1):

[0060]

[0061] and are the power and state of the non-interruptible-fixed power load i at time t, is the rated power of the non-interruptible fixed power load i, T on and T off are the time when the device is connected to and disconnected from the network, Q zg，min Interruptible-Fixed power load iThe minimum amount of power required to complete the specified work;

[0062] 2) Non-interruptible-fixed power load scheduling model

[0063] Non-interruptible-fixed power load means that the equipment cannot be interrupted during operation, but the operating power needs to remain unchanged, and its load usage within the specified time must be greater than its load critical value; its model is shown in formula (2):

[0064]

[0065] In the formula, and are the power and state of the non-interruptible-fixed power load i at time t, is the rated power of the non-interruptible fixed power load i, T st T0 and T1 are the time when the equipment starts running and the running duration respectively. i，min The minimum amount of electricity required for a non-interruptible fixed power load i to complete the specified work;

[0066] 3) Unconstrained-Flexible Load Scheduling Model

[0067]

[0068] Where P i 3 is the unconstrained-flexible adjustment of the power of load i at time t, and are the minimum and maximum adjustable power values ​​of unconstrained and flexible load i, Q 3，min The minimum amount of electricity required to complete the specified work is adjusted flexibly without constraints. and They are respectively unconstrained and flexible to adjust the start and end time of electricity consumption of load;

[0069] 4) Constrained-Flexible Load Scheduling Model

[0070]

[0071] Where P i 4 and are the power of the constrained-flexible load i at time t and the maximum allowable power, T in,t is the indoor temperature at time t, T in,t-1 is the indoor temperature at the previous moment, η is the heat conversion efficiency, A is the equivalent resistance, T0 and T dev Set the temperature and allowable variation range for the equipment respectively.

[0072] In addition, the method of aggregating different types of demand-side load resources and establishing a peak-shaving scheduling model with the minimum peak-to-valley difference as the optimization goal is:

[0073] The load resources on the demand side are used to participate in the response, and the peak load is reduced as much as possible. The peak load scheduling model is as follows:

[0074]

[0075] Among them, P 0,t is the original load of all demand-side resources in period t before scheduling and adjustment, P potential,t It is the sum of the dispatch potential of all demand-side resources in period t.

[0076] The method for solving the peak load scheduling model is:

[0077] Divide the whole day evenly into several time periods;

[0078] According to different types of demand-side load resource models, the dispatchable power in each time period is obtained respectively. Aggregate to form the total demand-side load resources, the dispatchable power limit for each time period, P potential,t ;

[0079] When only power constraints are considered, the peak and valley values ​​after the demand-side resources respond to peak load shifting:

[0080]

[0081] Among them, P f ' z With P g ' z They are the peak and valley values ​​after the dispatch response respectively;

[0082] Let y = P′ fz and y = P′ gz The original load curve y=P 0,t Connect the lines to obtain the initial peak-shaving interval [t xf,1 ,t xf,2 ] and the initial valley-filling interval [t tg,1 ,t tg,2 ];

[0083] Obtain the dispatchable load power of each demand-side load resource in the peak shaving interval and valley filling interval;

[0084] Considering the power constraint, determine whether the various types of demand-side load resources in this time period can meet the total dispatchable power in this time period. If not, let Continue iterating to obtain a new peak-cutting interval [t′ tg,1 ,t′ tg,2 ] and the new valley-filling interval [t′ tg,1 ,t′ tg,2 ], continue to judge whether each type of demand-side load resources in this time period can meet the total dispatchable power in this time period, repeat the above iterative judgment process until each type of demand-side load resources meets the total dispatchable power, then complete the dispatch process and obtain the final load curve:

[0085]

[0086] Among them, P 0,t is the original load curve, P fz and P gz They are the peak load and valley load after final adjustment respectively.

[0087] It should be noted that the power constraint is: at the response scheduling time point, the adjusted power of different demand-side load resources at each time point must be less than the maximum dispatchable capacity of the benchmark load at each time point; the power constraint is: within the response scheduling time period for scheduling the demand-side load resources, the maximum adjusted power of different demand-side load resources in each continuous time period must be less than the total dispatchable power in each continuous time period corresponding to the benchmark load.

[0088] The demand side power constraints of the above four different response types are shown in Table 1:

[0089] Table 1 Demand side load power constraints and electricity constraints

[0090]

[0091] In Table 1, P potent,up and P potent,down are the upward and downward adjustment potentials of the demand side load, P0 is the benchmark load of the demand side load, x i,t is the state of the demand side load i in period t, P i,max and P i,min is the maximum / minimum load of demand side load i, T on With T off is the time when the load is connected to and disconnected from the grid, Q i,min is the minimum power consumption of load i, T in,t is the indoor temperature at time t, T in,t-1 is the indoor temperature at the previous moment, η is the heat conversion efficiency, and A is the heat retention efficiency.

[0092] As an example, in this embodiment, taking the dispatching of equipment with different response characteristics in a certain area as an example, the peak-shaving dispatching model is used to perform peak-shaving response, and then the load curve after peak-shaving is obtained, which is compared with the original load curve. Four loads, namely controllable lighting, schedulable electric vehicles, air conditioners, and washing machines, are selected respectively. The specific quantities are shown in the attached figure. Figure 2 The daily load curve of the area is shown in the attached figure. Figure 3 :

[0093] Table 2 Number of dispatching devices in each instance

[0094] Demand-side resource types Load equipment Rated power(W) Total quantity Interruptible - Fixed power load Controllable lighting 20 1000 Non-interruptible - fixed power load Dispatchable electric vehicles 7000 500 Constrained - Flexible load adjustment Inverter air conditioner 1100 300 Unconstrained - flexible load adjustment washing machine 120 650

[0095] According to Table 2 and Appendix Figure 2 Given the dispatchable quantity of different response characteristics of equipment in each period, as well as the adjustable power constraints of different response characteristics of equipment, calculate the maximum dispatchable power P in each period potential,t As attached Figure 4 As shown:

[0096] The final demand-side resource peak-shaving scheduling strategy is obtained through iteration as shown in the attached figure. Figure 5 And attached Figure 6 As shown:

[0097] The peak load scheduling response effect of this method is as follows:

[0098] Table 3 Load response effect comparison chart

[0099] Peak load Load valley Peak to valley difference Before dispatch response 10.3633MW 7.2726MW 3.0907MW After the dispatch response 9.8145MW 7.6592MW 2.1553MW Response Effect 5.29% reduction Up 5.31% Reduced to 30.33%

[0100] By using the above peak-shaving dispatching method to guide demand-side resources to participate in the response, the peak load in the region dropped from 10.3633MW to 9.8145MW, a decrease of 5.29%. The load valley value increased from 7.2726MW to 7.6592MW, a rise of 5.31%, and the peak-to-valley difference dropped from 3.0907MW to 2.1553MW, a decrease of 30.33%; this method can be proved to have a significant peak-shaving effect.

[0101] The above embodiments describe the present invention in detail, but the contents are only preferred embodiments of the present invention and cannot be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A demand-side load resource peak-shaving dispatching response method considering response characteristics, characterized in that: The steps include: Analyze the response characteristics of different types of demand-side load resources and establish models; Aggregate different types of demand-side load resources, establish a peak-shaving scheduling model with the minimum peak-to-valley difference as the optimization goal, and obtain the power constraints and electricity constraints of different types of demand-side load resources; Solving the peak load scheduling model to generate a scheduling plan; For different types of demand-side load resources, the method of analyzing their response characteristics and establishing models is as follows: The demand-side load resources are divided into interruptible-fixed power load resources, non-interruptible-fixed power load resources, unconstrained-flexible adjustment load resources, and constrained-flexible adjustment load resources according to their response characteristics, and each type of resource is modeled: 1) Interruptible-fixed power load scheduling model Interruptible-fixed power load means that the equipment can be interrupted during operation, but the operating power needs to remain unchanged, and its load usage within the specified time must be greater than its load critical value. Its model is shown in formula (1): and are the power and state of the non-interruptible-fixed power load i at time t, is the rated power of the non-interruptible fixed power load i, T on and T off are the time when the device is connected to and disconnected from the network, Q zg，min Interruptible-Fixed power load iThe minimum amount of power required to complete the specified work; 2) Non-interruptible-fixed power load scheduling model Non-interruptible-fixed power load means that the equipment cannot be interrupted during operation, but the operating power needs to remain unchanged, and its load usage within the specified time must be greater than its load critical value; its model is shown in formula (2): In the formula, and are the power and state of the non-interruptible-fixed power load i at time t, is the rated power of the non-interruptible fixed power load i, T st T0 and T1 are the time when the equipment starts running and the running duration respectively. i，min The minimum amount of electricity required for a non-interruptible fixed power load i to complete the specified work; 3) Unconstrained-Flexible Load Scheduling Model Where P i 3 is the unconstrained-flexible adjustment of the power of load i at time t, and are the minimum and maximum adjustable power values ​​of unconstrained and flexible load i, Q 3，min The minimum amount of electricity required to complete the specified work is adjusted flexibly without constraints. and They are respectively unconstrained and flexible to adjust the start and end time of electricity consumption of load; 4) Constrained-Flexible Load Scheduling Model Where P i 4 and are the power of the constrained-flexible load i at time t and the maximum allowable power, T in,t is the indoor temperature at time t, T in,t-1 is the indoor temperature at the previous moment, η is the heat conversion efficiency, A is the equivalent resistance, T0 and T dev Set the temperature and allowable variation range for the equipment respectively.

2. The demand-side load resource peak-shaving scheduling response method considering response characteristics according to claim 1 is characterized in that: The method of aggregating different types of demand-side load resources and establishing a peak-shaving scheduling model with the minimum peak-to-valley difference as the optimization goal is: The load resources on the demand side are used to participate in the response, and the peak load is reduced as much as possible. The peak load scheduling model is as follows: Among them, P 0,t is the original load of all demand-side resources in period t before scheduling and adjustment, P potential,t It is the sum of the dispatch potential of all demand-side resources in period t.

3. The demand-side load resource peak-shaving scheduling response method considering response characteristics according to claim 2 is characterized in that: The method for solving the peak load scheduling model is: Divide the whole day evenly into several time periods; According to different types of demand-side load resource models, the dispatchable power in each time period is obtained respectively. Aggregate to form the total demand-side load resources, the dispatchable power limit for each time period, P potential,t ; When only power constraints are considered, the peak and valley values ​​after the demand-side resources respond to peak load shifting: Among them, P f ' z With P g ' z They are the peak and valley values ​​after the dispatch response respectively; Let y = P f ' z and y=P g ' z The original load curve y=P 0,t Connect the lines to obtain the initial peak-shaving interval [t xf,1 ,t xf,2 ] and the initial valley-filling interval [t tg,1 ,t tg,2 ]; Obtain the dispatchable load power of each demand-side load resource in the peak shaving interval and valley filling interval; Considering the power constraint, determine whether the various types of demand-side load resources in this time period can meet the total dispatchable power in this time period. If not, let Continue to iterate to obtain a new peak-cutting interval [t t ' g,1 ,t t ' g,2 ] and the new valley-filling interval [t t ' g,1 ,t t ' g,2 ], continue to judge whether each type of demand-side load resources in this time period can meet the total dispatchable power in this time period, repeat the above iterative judgment process until each type of demand-side load resources meets the total dispatchable power, then complete the dispatch process and obtain the final load curve: Among them, P 0,t is the original load curve, P fz and P gz They are the peak load and valley load after final adjustment respectively.

4. The demand-side load resource peak-shaving scheduling response method considering response characteristics according to claim 3 is characterized in that: The power constraint is: at the response scheduling time point, the adjusted power of different demand-side load resources at each time point must be less than the maximum dispatchable capacity of the benchmark load at each time point; the power constraint is: within the response scheduling time period for scheduling the demand-side load resources, the maximum adjusted power of different demand-side load resources in each continuous time period must be less than the total dispatchable power in each continuous time period corresponding to the benchmark load.

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