CN112508629A - Multi-user demand response method considering user characteristics - Google Patents
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Abstract
The invention discloses a method for aggregating multi-user needs and participating in demand response by considering user characteristics, which specifically comprises the following steps: comprehensively considering the electricity utilization characteristics and social characteristics of multiple users, and determining the electricity utilization behavior characteristics of typical users based on a load characteristic clustering theory; establishing an electricity utilization characteristic model of transferable loads and interruptible loads of each type of typical users, and constructing an integral electricity utilization characteristic model of all transferable loads and interruptible loads by using an equivalent aggregation method; establishing demand response characteristic models of transferable loads and interruptible loads, establishing demand response scheduling methods of different time scales, and designing a demand response excitation strategy of multiple time scales. The method for the multi-user demand response strategy based on the user characteristics breaks through the demand response potential limitation of dispersed individual load users, exerts the complementary advantages of the terminal multi-user, and provides important technical support for creating a flexible multi-user cluster demand response system.
Description
Technical Field
The invention relates to the technical field of demand response of a power system, in particular to a method for multiple users to participate in demand response in an aggregation manner by considering user characteristics.
Background
With the trend of diversification of load power utilization and the rapid development of distributed resources such as power distribution side electric vehicles, energy storage and new energy power generation, the power demand side management resources have different characteristics and are highly dispersed, and higher requirements are provided for a comprehensive coordination optimization technology and an adjusting means of system-level demand side resources. In addition, with the massive access of novel loads with flexible adjusting capacity, such as electric vehicles, industrial process loads, cloud computing loads and the like, the diversity of users in the aspect of electricity utilization behavior characteristics is highlighted. Highly dispersed user demand response characteristics are different, and various resources need to be fully integrated based on the characteristics of more accurate multi-element cluster users urgently, the complementarity among the cluster multi-element users is exerted, and a multi-element user demand response strategy based on the user characteristics is established, so that the aim of better promoting resource optimization configuration is fulfilled.
Chinese patent publication No. CN111969592A discloses a double-layer optimization strategy considering user satisfaction and demand response strategy of an electric power system, constructs a mathematical model of loads such as cooling, heating and power in an area, and determines an overall demand response strategy on the premise of considering both economic benefits and user satisfaction; chinese patent publication No. CN111952978A provides a demand response incentive strategy based on user response at each time interval, further optimizes the real-time response of the user based on the incentive strategy, and guarantees the economy of the demand response strategy under the consideration of the differentiated response characteristics of the user; the two methods do not consider the comprehensive influence of the electricity utilization characteristics and social characteristics of the users on the demand response strategy, integrate the demand response potential of multiple users and realize the optimal configuration of demand response resources.
Disclosure of Invention
In order to solve the above-mentioned technical problem, the present invention provides a method for participating in demand response by multi-user aggregation considering user characteristics.
The design purpose of the invention is implemented by the following technical scheme:
a method for aggregating multiple users to participate in demand response by considering user characteristics is provided, which comprises the following steps:
s1: analyzing the electric power data of the multiple users acquired by the data acquisition terminal, extracting the typical electricity utilization characteristics of the multiple users, discretizing the social and economic information of the users, and extracting the social characteristics of the users; comprehensively considering the electricity utilization characteristics and social characteristics of the users, and determining the electricity utilization behavior characteristics of typical users based on a load characteristic clustering theory;
s2: establishing an electricity utilization characteristic model of transferable loads and interruptible loads in each type of typical users, and determining the integral electricity utilization characteristic models of all transferable loads and interruptible loads by using an equivalent aggregation method;
s3: based on the integral electricity utilization characteristic models of all transferable loads and interruptible loads, determining demand response characteristic models of the transferable loads and the interruptible loads, constructing demand response scheduling methods of different time scales, and determining a demand response excitation strategy of multiple time scales.
As a further improvement, the multivariate user electricity consumption behavior characteristics comprise electricity load characteristics and user social characteristics. The electricity consumption load characteristics comprise indexes such as daily average load, daily load rate, percentage of electricity consumed in a time period and the like, and the electricity consumption social characteristics comprise social grades of users, willingness of reducing electricity consumption for reducing electricity charge, willingness of responding to time-sharing electricity price and the like.
As a further improvement, the electricity utilization characteristic model of the transferable load and the interruptible load of each type of typical users comprises a load power adjustment limit, a load power scheduling period limit and an electricity utilization requirement constraint; the integral electricity characteristic model of the transferable load and the interruptible load can be used for fitting the integral effect containing different types of loads and aggregating all load characteristic parameters.
As a further improvement, the demand response scheduling methods with different time scales comprise a day-ahead demand response strategy and an in-day demand response scheduling strategy; and according to the final demand response strategy, evaluating the benefits of power generation enterprises, power grid enterprises, users and the like, and compensating or exciting demand response resources.
The invention provides a method for the aggregation of multiple users to participate in demand response by considering user characteristics, which has the following technical effects:
(1) aiming at the multiple electric loads with different characteristics and high dispersion, the user electric consumption characteristics and social characteristics can be established based on the load characteristic clustering theory, and reference is provided for the research of characterizing user portraits, personalized services and privacy protection.
(2) The invention establishes the power consumption characteristic model of various loads of each type of users, and aggregates the power consumption load characteristics of the whole area, thereby being beneficial to breaking through the requirement response potential limitation of dispersed individual load users, exerting the complementary advantages of terminal multi-user and improving the coupling correlation degree among various user loads.
(3) The method and the system construct a multi-time scale demand response model based on the user characteristics, are beneficial to condensing the load demand response resources of the multiple users of the power system, and provide important technical support for creating a flexible multiple cluster user demand response system.
Drawings
Fig. 1 is an overall flowchart of a method for participating in demand response by multi-user aggregation in consideration of user characteristics according to the present invention.
FIG. 2 is a flow chart for modeling electrical characteristics of transferable loads and interruptible loads provided by the present invention.
FIG. 3 is a flow chart of a method for demand response at different time scales according to the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a method for aggregating multiple users to participate in demand response in consideration of user characteristics according to an embodiment of the present invention includes the following steps:
s1: preprocessing the multi-user load data acquired by the data acquisition terminal, modifying or deleting data with obvious errors, and determining typical electricity utilization characteristics of each user, including indexes such as daily average load, daily load rate, percentage of electricity utilization in a time period and the like. In addition, the users in the area are investigated, the social level of the users, the willingness of reducing electricity consumption for reducing electricity charge, the response willingness of halving time electricity price and other characteristics are quantified, the electricity utilization characteristics and the social characteristics of the users are comprehensively considered, and the quantified electricity utilization characteristics-social characteristic curves of the users are clustered on the basis of a load characteristic clustering theory to obtain the electricity utilization behavior characteristics of typical users.
S2: establishing an electricity utilization characteristic model of transferable loads and interruptible loads in each type of typical users, and determining the integral electricity utilization characteristic models of all transferable loads and interruptible loads by using an equivalent aggregation method;
s3: based on the integral electricity utilization characteristic models of all transferable loads and interruptible loads, determining demand response characteristic models of the transferable loads and the interruptible loads, constructing demand response scheduling methods of different time scales, and determining a demand response excitation strategy of multiple time scales.
Referring to fig. 2, the method for modeling the electrical characteristics of the transferable load and the interruptible load provided by the present invention is as follows:
s21: the method comprises the steps of establishing the electricity utilization characteristics of transferable loads in each type of users, enabling the change power of the load power in each period to be continuous, having the maximum value of load power adjustment, enabling the scheduling time domain to be mostly load valleys, and enabling the power after load adjustment to meet the original electricity utilization requirements.
S22: the method comprises the steps of establishing the electricity utilization characteristic of interruptible loads in each type of users, enabling the change power of the load power in each period to be discrete, enabling the scheduling time domain to be mostly load valley, and enabling the power after load adjustment to meet the original electricity utilization requirement.
S23: and establishing the integral power utilization characteristics of transferable loads and interruptible loads of all users, wherein the power change range of the integral power utilization characteristics meets the integral superposed power limit value, the dispatching interval is the intersection of the dispatching intervals of various loads, and the integrally adjusted load power is equal to the original power utilization requirement of the whole area.
Referring to fig. 3, based on the integral electricity consumption characteristic models of the transferable load and the interruptible load, determining the demand response characteristic models of the transferable load and the interruptible load of each type of typical users, and constructing a demand response scheduling method with different time scales, wherein the specific steps of determining the demand response incentive policy with multiple time scales are as follows:
s31: in the day-ahead demand response scheduling strategy, a demand-side schedulable resource aggregator determines parameters such as controlled time period, controlled power, price response characteristics and the like of loads in a region based on the power utilization characteristics of region transferable loads and interruptible loads. And preliminarily determining adaptable demand response resources according to the dispatching demand of the power dispatching center.
S32: in the day-to-day demand response scheduling strategy, a demand side schedulable resource aggregator determines parameters such as schedulable time, schedulable power and excitation response characteristics of loads in an area. And finally determining adaptable demand response resources according to the demand response adjustment condition of the power dispatching center on the basis of the day-ahead demand response strategy.
S33: and according to the final demand response strategy, evaluating the benefits of power generation enterprises, power grid enterprises and users from the aspects of safety, economy, reliability and the like, and compensating or exciting demand response resources.
The method for aggregating multiple users to participate in demand response considering user characteristics provided by the embodiment of the present invention is described in detail above, and the principle of the present invention is described herein by using specific examples for illustrating the core idea of the present invention, and the content of the present specification should not be construed as limiting the scope of the present invention.
Claims (4)
1. A method for aggregating multiple users to participate in demand response in consideration of user characteristics, comprising the steps of:
s1: analyzing the electric power data of the multiple users acquired by the data acquisition terminal, extracting the typical electricity utilization characteristics of the multiple users, discretizing the social and economic information of the users, and extracting the social characteristics of the users; comprehensively considering the electricity utilization characteristics and social characteristics of the users, and determining the electricity utilization behavior characteristics of typical users based on a load characteristic clustering theory;
s2: establishing an electricity utilization characteristic model of transferable loads and interruptible loads in each type of typical users, and determining the integral electricity utilization characteristic models of all transferable loads and interruptible loads by using an equivalent aggregation method;
s3: based on the integral electricity utilization characteristic models of all transferable loads and interruptible loads, determining demand response characteristic models of the transferable loads and the interruptible loads, constructing demand response scheduling methods of different time scales, and determining a demand response excitation strategy of multiple time scales.
2. The method for the aggregation of multiple users participating in demand response considering user characteristics according to claim 1, wherein the power consumption behavior characteristics of the multiple users comprise power load characteristics and user social characteristics; the electricity load characteristics comprise indexes such as daily average load, daily load rate, percentage of electricity consumed in a flat period and the like; the electricity consumption social characteristics comprise the social level of the user, the willingness of reducing electricity consumption for reducing electricity charge, the willingness of responding to the time-sharing electricity price and the like.
3. The method for participating in demand response by aggregation of multiple users considering user characteristics according to claim 1, wherein the power consumption characteristic model of transferable load and interruptible load for each type of typical user comprises load power adjustment limit, load power scheduling period limit, power consumption demand constraint; the integral electricity characteristic model of the transferable load and the interruptible load can be used for fitting the integral effect containing different types of loads and aggregating all load characteristic parameters.
4. The method for participating in demand response by aggregation of multiple users considering user characteristics according to claim 1, wherein the demand response scheduling methods of different time scales comprise a day-ahead demand response strategy and a day-in demand response scheduling strategy; and according to the final demand response strategy, evaluating the benefits of power generation enterprises, power grid enterprises, users and the like, and compensating or exciting demand response resources.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113610351A (en) * | 2021-07-13 | 2021-11-05 | 国网浙江省电力有限公司电力科学研究院 | User demand response capability assessment method, system, terminal and medium |
| CN113988580A (en) * | 2021-10-25 | 2022-01-28 | 许继集团有限公司 | Demand response scheduling method and system based on load spatiotemporal characteristics |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113610351A (en) * | 2021-07-13 | 2021-11-05 | 国网浙江省电力有限公司电力科学研究院 | User demand response capability assessment method, system, terminal and medium |
| CN113988580A (en) * | 2021-10-25 | 2022-01-28 | 许继集团有限公司 | Demand response scheduling method and system based on load spatiotemporal characteristics |
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