CN-120975346-B - Multi-time scale optimization method and system for comprehensive energy system considering electric carbon coupling

CN120975346BCN 120975346 BCN120975346 BCN 120975346BCN-120975346-B

Abstract

A multi-time scale optimization method and system for an integrated energy system considering electric carbon coupling comprises the steps of constructing an electric-carbon model of each device in the integrated energy system, constructing an electric carbon coupling price model based on electric market electricity price and floating carbon price of electric power spot, constructing a multi-time scale regulation optimization model aiming at minimizing total cost of the system based on the electric-carbon model of each device and the electric carbon coupling price model, and solving the multi-time scale regulation optimization model under the constraint set condition of meeting power balance constraint, reserve capacity constraint, electric carbon coupling price constraint, intra-day regulation constraint, real-time deviation constraint and power grid safety constraint of each device of the system to obtain an optimal scheduling scheme. According to the invention, through deep fusion of an electric-carbon coupling mechanism, the optimized scheduling of the comprehensive energy system is realized by the cooperative guidance of the time-sharing electricity price signal and the multi-time-scale carbon price signal of the electric power spot market, and the low-carbon toughness and the operation stability of the urban comprehensive energy system in the electric power spot market are enhanced.

Inventors

Pang Jingshuai
YANG XIAOXIA
XUE YANJUN
DOU ZHENLAN
ZHANG CHUNYAN
CHEN HONGYIN
GUO MENGJIE
WANG SONGCEN
LI JIANFENG
YUAN YIMING
Fu Chaoran

Assignees

国网上海市电力公司
中国电力科学研究院有限公司
国网上海综合能源服务有限公司
北京清大科越股份有限公司

Dates

Publication Date: 20260508
Application Date: 20251023

Claims (9)

1. The multi-time scale optimization method of the comprehensive energy system considering the electric carbon coupling is characterized by comprising the following steps of: s1, constructing an electric-carbon model of each device in a comprehensive energy system; S2, constructing an electric carbon coupling price model based on the electricity price of the electric spot market and the floating carbon price, calculating a daily front system carbon quota of the comprehensive energy system, decomposing the daily front system carbon quota in real time for multiple time scales to obtain system carbon quotas of all time scales, calculating a stepped carbon transaction interval length of all time scales based on the system carbon quotas of all time scales, and constructing a stepped carbon transaction cost model under all time scales by combining a carbon transaction reference price and a stepped price fluctuation range; S3, constructing a multi-time scale regulation optimization model aiming at minimizing the total cost of the system based on the electric-carbon model and the electric-carbon coupling price model of each device; S4, solving a multi-time scale regulation optimization model under the constraint set condition of meeting the constraint set comprising the power balance constraint, the reserve capacity constraint, the electric carbon coupling price constraint, the daily regulation constraint, the real-time deviation constraint and the power grid safety constraint of each device of the system to obtain an optimal scheduling scheme; The intra-day system carbon quota and the real-time system carbon quota are calculated as follows: ; in the formula, Decomposing a day-ahead scheduling period t to a corresponding day-ahead scheduling period tau for the intra-day system carbon quota; for the future system carbon quota, Carbon emission of the system in the period t before the day; The predicted carbon emission amount for the corresponding scheduling period tau in the day; decomposing the intra-day scheduling period tau into a real-time scheduling period r for the real-time system carbon quota; the actual carbon emissions for the system schedule period τ during the day; the predicted carbon emissions for the real-time corresponding schedule period r.
2. The multi-time scale optimization method for the comprehensive energy system taking account of electric carbon coupling according to claim 1, wherein the electric-carbon models of all the equipment comprise a natural gas triple supply unit, a gas boiler, an electric refrigerator, a wind power generation system, a photovoltaic power generation system, an electric power model corresponding to electric energy storage, a carbon emission model, a carbon trapping system model and a carbon absorption equipment model.
3. The integrated energy system multi-time scale optimization method taking into account electrical carbon coupling as defined in claim 2, wherein: The carbon quota of the day-ahead system is the sum of the carbon quota of the day-ahead system outsourcing electricity, the carbon quota of the natural gas triple supply unit, the carbon quota of the gas boiler and the carbon quota of the system gas load.
4. The method for optimizing multiple time scales of an integrated energy system according to claim 3, wherein the step-type carbon transaction interval length of each time scale comprises a day-ahead step-type carbon transaction interval length, a day-in step-type carbon transaction interval length and a real-time step-type carbon transaction interval length, and the day-in step-type carbon transaction interval length and the real-time step-type carbon transaction interval length are calculated as follows: in the formula, The length of the day-ahead stepped carbon transaction interval is used as a system decision variable, and is obtained through day-ahead optimization; Is the intra-day ladder type carbon transaction interval length, Is the real-time ladder-type carbon transaction interval length.
5. The multi-time scale optimization method of the comprehensive energy system considering electric carbon coupling according to claim 4, wherein the electric carbon coupling price model is constructed, and the multi-time scale optimization method comprises a daily electric carbon coupling price model, a daily electric carbon coupling price model and a real-time electric carbon coupling price model, and specifically comprises the following steps: the day-ahead electric carbon coupling price model is: in the formula, The price is the electric carbon coupling before the day; The clear electricity price is reserved for the day before; floating carbon number before day; the average carbon price of the comprehensive energy system before the day, For the time t before day an emission factor influence coefficient; The solar electricity-carbon coupling price model is as follows: in the formula, The price is the intra-day electric carbon coupling price; The electricity clearing price is the day-ahead electricity clearing price; Floating carbon number in day; For the average carbon price of the daily comprehensive energy system, Is within the day A moment carbon emission factor influence coefficient; the real-time electric carbon coupling price model is as follows: in the formula, The price is real-time electric carbon coupling price; the real-time electricity price is obtained; floating carbon price in real time; in order to synthesize the average carbon price of the energy system in real time, And the carbon emission factor influence coefficient is the real-time r moment.
6. The multi-time scale optimization method of the integrated energy system taking into account the electric carbon coupling according to claim 5, wherein the influence coefficient of the carbon emission factor at the time t before the day is calculated as follows: in the formula, 、 Respectively floating up and floating down carbon valence coefficients; 、 And the carbon emission factor threshold value at the time t respectively.
7. The multi-time scale optimization method of the integrated energy system according to claim 6, wherein the multi-time scale control optimization model aiming at minimizing the total cost of the system comprises a day-ahead control optimization model, a day-ahead control optimization model and a real-time control optimization model, wherein the day-ahead control optimization model and the real-time control optimization model both adopt the difference between the actual carbon emission and the predicted carbon emission in the current scheduling period to correct the predicted carbon emission in the next scheduling period, and calculate the corrected electric carbon coupling price based on the corrected predicted carbon emission, so as to feed back the electric carbon coupling price to the objective function and the constraint condition of the next scheduling period.
8. The multi-time scale optimization method for the comprehensive energy system taking into account the electric carbon coupling according to claim 7, wherein the electric carbon coupling price constraint is that the average value of floating carbon prices in the total scheduling period is the same as the average carbon price of the comprehensive energy system.
9. An electric carbon coupling-based multi-time scale optimization system of an integrated energy system, comprising an equipment electric-carbon model construction module, an electric carbon coupling price model construction module, a multi-time scale regulation optimization model construction module and a scheduling scheme acquisition module, wherein the system is based on the method of any one of claims 1-8, and is characterized in that: The equipment electricity-carbon model construction module is used for constructing an electricity-carbon model of each equipment in the comprehensive energy system; The electric carbon coupling price model building module is used for building an electric carbon coupling price model based on the electricity price of the electric power spot market and the floating carbon price; calculating the daily system carbon quota of the comprehensive energy system, decomposing the daily system carbon quota in real time in multiple time scales to obtain the system carbon quota of each time scale, calculating the stepped carbon transaction interval length of each time scale based on the system carbon quota of each time scale, and constructing a stepped carbon transaction cost model under each time scale by combining a carbon transaction reference price and a stepped price fluctuation; The multi-time scale regulation optimization model construction module is used for constructing a multi-time scale regulation optimization model aiming at minimizing the total cost of the system based on the electric-carbon model and the electric-carbon coupling price model of each device; the scheduling scheme acquisition module is used for solving the multi-time scale regulation optimization model under the constraint set condition of meeting the constraint set comprising the power balance constraint, the reserve capacity constraint, the electric carbon coupling price constraint, the intra-day regulation constraint, the real-time deviation constraint and the power grid safety constraint of each device of the system to obtain an optimized scheduling scheme; The intra-day system carbon quota and the real-time system carbon quota are calculated as follows: ; in the formula, Decomposing a day-ahead scheduling period t to a corresponding day-ahead scheduling period tau for the intra-day system carbon quota; for the future system carbon quota, Carbon emission of the system in the period t before the day; The predicted carbon emission amount for the corresponding scheduling period tau in the day; decomposing the intra-day scheduling period tau into a real-time scheduling period r for the real-time system carbon quota; the actual carbon emissions for the system schedule period τ during the day; the predicted carbon emissions for the real-time corresponding schedule period r.

Description

Multi-time scale optimization method and system for comprehensive energy system considering electric carbon coupling Technical Field The invention belongs to the field of combined regulation and control of an electric power spot market and a carbon market, and particularly relates to a multi-time scale optimization method and system of a comprehensive energy system considering electric carbon coupling. Background Under the large background of global energy transformation, the energy low-carbon target is accelerated to advance, and the comprehensive energy system becomes an important carrier for realizing the low-carbon target by virtue of the multi-energy coupling complementary characteristic. Currently, with the rapid development of the electric power spot market and the carbon market, more research focuses on the synergistic response of each element of the integrated energy system to the electricity price and carbon price signals. However, the time-sharing electricity price signal of the electric power spot market makes the system tend to pursue economic operation, the stepped carbon price signal of the carbon market guides the system to meet the low-carbon target, and meanwhile, the energy flow and the carbon flow of the internal equipment of the comprehensive energy system are deeply coupled, so that the difficulty of the cooperative regulation and control of the electricity price and the carbon price signal of the comprehensive energy system is further increased. At present, the traditional comprehensive energy system mathematical modeling is on one side, the linkage relation of carbon flow and current among devices cannot be fully reflected, in the three-level time scale scheduling optimization target of the electric power spot market, only fixed carbon transaction cost is considered, the fixed carbon quota allocation is not combined with multiple time scales, the method of decomposing the carbon quota to multiple time scales is difficult to respond to time-sharing electricity price fluctuation of the electric power spot market, the electricity price signal and the carbon price signal are considered separately in the multiple time scales optimization, the coupling relation of the two is not considered, an electric carbon price linkage mechanism is not established, the guiding effect of the electricity price signal on carbon emission reduction is difficult to effectively develop, and the closed-loop feedback and dynamic correction mechanism of carbon emission are lacked in real-time scheduling in the day, so that the method is difficult to adapt to complex scenes after the high-proportion renewable energy of the urban comprehensive energy system is accessed. Therefore, there is a need to deeply analyze the coupling synergistic relationship between the electricity price of the electricity spot market and the carbon price of the carbon trade market, and guide the comprehensive energy system to optimize and schedule by using the electricity-carbon coupling synergistic signal, so as to realize the balance of economy and low carbon. Patent CN117543538a proposes an energy system scheduling control method and system based on electric carbon coupling, and a storage medium. The method comprises the steps of establishing a double-layer scheduling model and setting constraint conditions by acquiring the predicted power of a photovoltaic power station and the electric power information of flexible load and the electric price and the carbon price information of an electric-carbon combined market which participate in scheduling in an energy system, solving the double-layer scheduling model, and obtaining a scheduling scheme of the energy system according to a solving result; the energy system dispatching output and the convergence of the energy system dispatching output and the energy system dispatching output are finally realized through iterative interaction between the energy system dispatching output and the carbon price of the combined market, the energy system dispatching distributed energy output, the energy system charging and discharging and flexible load electricity consumption, the dispatching generator and the renewable power generation output are optimized according to the final solving result, and therefore balanced dispatching of the energy system dispatching and the combined market is realized. The method has the defects that the method only depends on current price and carbon price of market in the day, does not construct real-time dynamic feedback closed loop in the day, cannot cope with source load uncertainty caused by wind and light fluctuation, adopts fixed carbon price, does not consider a step-type carbon transaction mechanism, cannot reflect nonlinear influence of carbon emission to cost, weakens carbon emission reduction excitation, does not model electricity-carbon coupling characteristics of equipment such as Carbon Capture (CCS), carbon absorption (P2G) and the like, and cannot quantify