CN-122026420-A - Power distribution network scheduling method and system for guiding demand response by dynamic carbon emission factors

CN122026420ACN 122026420 ACN122026420 ACN 122026420ACN-122026420-A

Abstract

The invention discloses a power distribution network scheduling method and system for guiding demand response by dynamic carbon emission factors, which comprises the steps of collecting power distribution network related data in real time, determining carbon potential of each node in power distribution network topology based on the power distribution network related data, calculating the dynamic carbon emission factors of each node based on load of each node and the carbon potential of each node, calculating electricity-carbon coupling time-of-use electricity price based on time-of-use electricity price of each power distribution network and corresponding calculation of the dynamic carbon emission factors, determining the change amount of price type demand response load by adopting a power distribution network node load low-carbon demand response model, calculating the carbon emission quota and the actual carbon emission amount of the power distribution network, determining the stepped carbon emission cost of the power distribution network based on the carbon emission quota and the actual carbon emission amount of the power distribution network, constructing a power distribution network low-carbon scheduling model, solving the power distribution network low-carbon scheduling model, and generating a power distribution network low-carbon scheduling strategy. The invention has the advantages of ensuring the low-carbon performance of the power distribution network and having good precision for load demand response.

Inventors

CHEN ERQIANG
MIAO SHIHONG
LI ZHENPING
WANG BAISHENG
Zhi Changshuang
Cao guizhou
You shun
XU PENGYU
YAO FUXING
WANG TINGTAO

Assignees

国网河南省电力公司电力科学研究院
华中科技大学

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (11)

1. A power distribution network scheduling method for guiding demand response by a dynamic carbon emission factor, comprising: the method comprises the steps of collecting power distribution network related data in real time, wherein the power distribution network related data comprise a power distribution network topological structure, loads of all nodes of the power distribution network, output data of all wind power units and output data of all photovoltaic units, and the nodes are electric connection nodes in the power distribution network topological structure; based on the load of each node and the carbon potential of each node at each moment, calculating the dynamic carbon emission factor of each node at the moment; the method comprises the steps of calculating the electricity-carbon coupling time-of-use electricity price of each node at each moment based on the time-of-use electricity price of the distribution network and the dynamic carbon emission factor of each node at each moment; Calculating carbon emission quota of the power distribution network based on the generated power of the micro gas turbine in the power distribution network and the thermal power purchased by the power distribution network to the upper power network; based on the carbon emission quota of the power distribution network and the actual carbon emission of the power distribution network, determining the stepped carbon emission cost of the power distribution network through a preset stepped carbon transaction mechanism model; Constructing a low-carbon scheduling model of the power distribution network based on the stepped carbon emission cost and the variable quantity of price demand response load of the power distribution network, wherein the low-carbon scheduling model of the power distribution network comprises a low-carbon objective function and a low-carbon constraint condition; and solving the low-carbon scheduling model of the power distribution network to generate a low-carbon scheduling strategy of the power distribution network.
2. The power distribution network scheduling method according to claim 1, wherein: the method for determining the carbon potential of each node in the power distribution network topology based on the power distribution network related data comprises the following steps of Adopting a carbon emission flow theory, and constructing a branch tidal current distribution matrix, a unit injection power distribution matrix, a node active injection matrix and a carbon emission intensity vector of a generator unit based on the related data of the power distribution network; And calculating a node carbon potential distribution vector based on the branch flow distribution matrix, the unit injection power distribution matrix, the node active injection matrix and the generator unit carbon emission intensity vector, wherein each element in the node carbon potential distribution vector represents the carbon potential of one node.
3. The power distribution network scheduling method according to claim 1, wherein: The price type demand response load comprises transferable load and reducible load which can respond to the electricity-carbon coupling time-sharing electricity price of the power distribution network node; The price type demand response load variation amount includes a transferable load variation amount and a load reducible variation amount.
4. A power distribution network scheduling method according to claim 1 or 3, characterized in that: the power distribution network node load low-carbon demand response model comprises a transferable load sub-model and a load-shedding sub-model; the transferable load sub-model is used for calculating the variable quantity of the transferable load based on the preset initial transferable load quantity, the electricity-carbon coupling time-of-use electricity price and the distribution network time-of-use electricity price; The load-shedding sub-model is used for calculating the load-shedding variable quantity based on the preset initial load-shedding quantity, the electricity-carbon coupling time-sharing electricity price and the distribution network time-sharing electricity price.
5. The power distribution network scheduling method according to claim 1, wherein: The ladder-type carbon transaction mechanism model is used for determining a formula for calculating the ladder-type carbon emission cost of the power distribution network based on the numerical value magnitude relation between the actual carbon emission of the power distribution network, the carbon emission quota of the power distribution network and the preset carbon emission interval length; and calculating the stepped carbon emission cost of the power distribution network based on the carbon emission quota of the power distribution network, the actual carbon emission amount of the power distribution network, the carbon emission interval length, the basic carbon price and the preset increment amplitude of each stepped carbon price according to the determined formula for calculating the stepped carbon emission cost of the power distribution network.
6. The power distribution network scheduling method according to claim 1, wherein: the low-carbon objective function is used for calculating the day-ahead running cost of the power grid based on the electricity purchasing cost, the new energy running cost, the energy storage running cost, the micro gas turbine running cost and the stepped carbon emission cost of the power distribution network to the upper power grid; The optimization objective of the low-carbon scheduling model of the power distribution network is that the daily running cost of the power distribution network is minimum.
7. The power distribution network scheduling method according to claim 1, wherein: The low-carbon constraint conditions comprise energy storage power sub-constraint, energy storage energy sub-constraint, gas turbine operation sub-constraint, distributed photovoltaic power generation sub-constraint, wind power generation sub-constraint, upper power grid purchase power sub-constraint and power balance sub-constraint of a power distribution network system.
8. The power distribution network scheduling method according to claim 1 or 3 or 4 or 7, wherein: The power balance sub constraint of the power distribution network system is constructed based on the total actual dispatching power of all distributed photovoltaics, the total actual dispatching power of all wind turbine generators, the total charging power of all energy storage, the total discharging power of all energy storage, the total power of all node loads and the total output power of all gas turbines; Wherein the total power of all node loads is calculated based on the transferable load variation and the load-curtailable variation at each node.
9. A power distribution network dispatching system using the power distribution network dispatching method of any one of claims 1-8, comprising a power distribution network related data acquisition module, a dynamic carbon emission factor calculation module, an electricity-carbon coupling time-of-use electricity price calculation module, a stepped carbon emission cost determination module, a low-carbon dispatching model construction module and a dispatching strategy generation module: The power distribution network related data acquisition module is used for acquiring power distribution network related data in real time, wherein the power distribution network related data comprise a power distribution network topological structure, power distribution network node loads, output data of each wind turbine generator set and output data of each photovoltaic turbine generator set; The dynamic carbon emission factor calculation module is used for determining the carbon potential of each node in the power distribution network topology based on the power distribution network related data, and calculating the dynamic carbon emission factor of each node at each moment based on the load of each node and the carbon potential of each node at each moment; The electricity-carbon coupling time-of-use electricity price calculation module correspondingly calculates the electricity-carbon coupling time-of-use electricity price of each node at each moment based on the time-of-use electricity price of the distribution network and the dynamic carbon emission factor of each node at each moment; The step-type carbon emission cost determining module is used for calculating the carbon emission quota of the power distribution network based on the power generation power of the micro gas turbine in the power distribution network and the thermal power purchased by the power distribution network to an upper power grid, and calculating the actual carbon emission amount of the power distribution network based on the carbon emission intensity of the micro gas turbine and the carbon emission intensity of a thermal power unit; The low-carbon scheduling model construction module is used for constructing a low-carbon scheduling model of the power distribution network based on the stepped carbon emission cost and the price type demand response load variation of the power distribution network, wherein the low-carbon scheduling model of the power distribution network comprises a low-carbon objective function and a low-carbon constraint condition; The scheduling strategy generation module is used for solving the low-carbon scheduling model of the power distribution network constructed by the low-carbon scheduling model construction module and generating a low-carbon scheduling strategy of the power distribution network.
10. A terminal comprises a processor and a storage medium, and is characterized in that: The storage medium is used for storing instructions; the processor is configured to operate according to the instructions to perform the steps of the power distribution network scheduling method according to any one of claims 1-7.
11. Computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the power distribution network scheduling method of any one of claims 1-8.

Description

Power distribution network scheduling method and system for guiding demand response by dynamic carbon emission factors Technical Field The invention belongs to the technical field of power distribution network scheduling, and particularly relates to a power distribution network scheduling method and system for guiding demand response by a dynamic carbon emission factor. Background The green transformation of propulsion energy has become a common concept of the international society for coping with climate change. The large-scale power industry inevitably becomes one of the main sources of social carbon emission, and the carbon emission amount of the large-scale power industry accounts for more than 40% of the national carbon emission amount, so that the promotion of carbon reduction in the power industry has long-term strategic significance. At present, power generation is considered to be a main source of carbon emission, and the energy utilization behavior of side loads of a power distribution network has an important influence on the carbon emission, so that a low-carbon operation plan combined with the carbon emission characteristics of nodes of the power distribution network is an important link for realizing carbon emission reduction in the power industry. The carbon transaction mechanism is one of effective measures for realizing a double-carbon target by assistance in the electric power industry, and is mainly divided into a traditional type carbon transaction and a step type carbon transaction, wherein the traditional type carbon transaction does not consider that the carbon price changes along with the carbon emission interval. Partial scholars discuss the carbon reduction effect of a carbon transaction mechanism on the multi-park comprehensive energy microgrid and construct a hybrid game model consisting of master-slave games and cooperative games. Part of students introduce a stepped carbon transaction mechanism into the comprehensive energy system, and combine a supply and demand bidirectional response and compensation mechanism, so that the effect of limiting carbon emission by the two carbon transaction mechanisms is compared, and the influence of the carbon transaction mechanism on the economic operation of the comprehensive energy system is analyzed. Part of scholars take price type demand response as guidance, a stepped carbon transaction model is established, and the economical efficiency and low carbon property of a low-voltage side park are comprehensively improved. At present, in the related research related to carbon trading mechanisms, most of the research is carried out by taking a comprehensive energy system and a micro-grid as the background, and a stepped carbon trading model is built by taking a power distribution network as a research object. With the increasing demand side resources of power systems, how to reduce the carbon emissions of power systems using low carbon demand response has become a research hotspot. And partial scholars transfer the carbon emission responsibility of the power generation side to the load of each node based on the carbon flow tracking theory, and propose a comprehensive energy system low-carbon scheduling strategy of carbon emission responsibility allocation and demand response synergistic effect so as to realize win-win of low carbon and economy. Partial scholars propose that the load side constructs an excitation low-carbon demand response model according to the carbon potential space-time distribution signals of the energy network, and the low-carbon economy and flexibility of the power system are realized by reasonably adjusting the load energy consumption behavior. And a part of scholars inform a user of carbon emission change caused by increasing or decreasing electricity consumption by taking the marginal carbon emission factor as a guide signal, so that the user can spontaneously change electricity consumption to reduce carbon emission. The above researches all consider the positive effects of low-carbon demand response on the realization of carbon emission reduction and operation economy of an electric power system, but the demand response signals are just real-time electricity prices or carbon emission factors, and the low-carbon demand response efficiency of the electric-carbon coupling time-of-use electricity prices as signals, which are guided by dynamic carbon emission factors obtained on the basis of a carbon emission flow theory, is not discussed deeply. CN118659359A discloses a power distribution network carbon asset development method based on flexible load optimization regulation, which is characterized in that the influence of space-time variability of carbon emission on low-carbon scheduling of a power distribution network is studied by predicting a time sequence of dynamic carbon emission factors of all nodes of the power distribution network, a user carbon asset price coefficient is introduced by analyzing the time sequence