US 2025/0094887 A1 · METHOD FOR OPTIMIZING PARAMETERS OF LADDER-TYPE CARBON TRADING MECHANISM BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION (IPSO) ALGORITHM

Abstract

The present disclosure provides a method for optimizing parameters of a ladder-type carbon trading mechanism based on an improved particle swarm optimization (IPSO) algorithm. The method first obtains information and operating data of a park-level integrated energy system, establishes equipment models and constraints of the park-level integrated energy system, and establishes a ladder-type carbon trading model; then encapsulates a process of optimized low-carbon dispatching of the park-level integrated energy system as a fitness function whose input is parameters of a carbon trading mechanism and output is a carbon emission of the system; and finally, introduces an IPSO algorithm to optimize the fitness function, and outputs optimization result information of the algorithm. The present disclosure verifies effectiveness and rationality of the model and the method that give full play to a role of the ladder-type carbon trading mechanism in the park-level integrated energy system through example analysis.

A method for optimizing parameters of a ladder-type carbon trading mechanism based on an improved particle swarm optimization (IPSO) algorithm, comprising the following steps:

(1) collecting information and operating data of a park-level integrated energy system, comprising a topology framework of the park-level integrated energy system, a capacity and efficiency of an equipment in the park-level integrated energy system, a carbon emission coefficient of a gas turbine, a carbon emission coefficient of a gas boiler, an equivalent carbon emission coefficient of electricity purchased by a superior, an operating cost of the park-level integrated energy system, a constraint on safe operation of the park-level integrated energy system, and information of electric, heat, and gas loads;
(2) establishing a mathematical model of the equipment in the park-level integrated energy system, wherein the mathematical model of the equipment in the park-level integrated energy system comprises a power-to-gas (P2G) equipment model, a gas turbine model, a gas boiler model, a battery model, a gas storage tank model, and a heat storage tank model;
(3) establishing a ladder-type carbon trading model, wherein the ladder-type trading model comprises a carbon emission right quota model of the park-level integrated energy system, an actual carbon emission model of the park-level integrated energy system, and a ladder-type carbon emission trading model, and a mathematical expression of a ladder-type carbon trading cost obtained based on the ladder-type carbon trading model is as follows:
C
CO
2
=
{
λ
⁢
EX
p
EX
p
≤
l
λ
⁢
(
1
+
σ
)
⁢
(
EX
p
-
l
)
+
λ
⁢
l
l
≤
EX
p
≤
2
⁢
l
λ
⁢
(
1
+
2
⁢
σ
)
⁢
(
EX
p
-
2
⁢
l
)
+
λ
⁢
(
2
+
σ
)
⁢
l
2
⁢
l
≤
EX
p
≤
3
⁢
l
λ
⁢
(
1
+
3
⁢
σ
)
⁢
(
EX
p
-
3
⁢
l
)
+
λ
⁢
(
3
+
3
⁢
σ
)
⁢
l
3
⁢
l
≤
EX
p
≤
4
⁢
l
λ
⁢
(
1
+
4
⁢
σ
)
⁢
(
EX
p
-
4
⁢
l
)
+
λ
⁢
(
4
+
6
⁢
σ
)
⁢
l
EX
p
≥
4
⁢
l
wherein CCO2 represents the ladder-type carbon transaction cost;
λ represents a basic carbon trading price;
l represents a carbon emission interval length;
σ represents a carbon trading price growth rate;
and EXp represents a carbon emission right trading volume of the park-level integrated energy system;
(4) taking a minimum overall cost constituted by the system operating cost Crun of the park-level integrated energy system and the ladder-type carbon trading cost CCO2 as a goal of optimized low-carbon economic dispatching, and encapsulating a process of the optimized low-carbon economic dispatching of the park-level integrated energy system as a fitness function, wherein an input of the fitness function comprises three parameters of a ladder-type carbon trading mechanism, namely, the basic carbon trading price, the carbon emission interval length, and the carbon trading price growth rate, and an output of the fitness function is a carbon emission of the park-level integrated energy system;
and
(5) introducing an improved particle swarm optimization (IPSO) algorithm to optimize the fitness function in the step (4), comprising adjusting an inertia weight in a particle swarm optimization (PSO) algorithm by taking an S-shaped function, a trigonometric function, and a random function as a carrier, and optimizing an acceleration factor in the PSO algorithm based on the trigonometric function to obtain optimization result information, wherein an optimization process comprises performing iterative optimization on the fitness function by taking a maximum quantity of iterations as a termination condition and a lowest carbon emission of the system as a goal, and the optimization result information comprises the basic carbon trading price, the carbon emission interval length, the carbon trading price growth rate, and the carbon emission of the park-level integrated energy system.

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Method for optimizing parameters of ladder-type carbon trading mechanism based on improved particle swarm optimization (ipso) algorithm

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Method for optimizing parameters of ladder-type carbon trading mechanism based on improved particle swarm optimization (ipso) algorithm

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Abstract

Claims5