Multi-media Energy Planning Optimization of Steel Based on Improved MOEA/D

doi:10.16182/j.issn1004731x.joss.21-1110

Abstract

Abstract:

To address the problems of multi-media iron and steel energy planning model with more variables, complex constraints and high difficulty in model solving, an improved MOEA/D (decomposition-based multi-objective evolutionary algorithm) based on adaptive neighborhood is proposed to realize multi-media energy planning optimization. Considering the characteristics of TOU price and the buffer effect of gas holder, the objective function to minimize operation cost and total energy consumption is constructed. And the model constraints are designed such as energy supply and demand balance. The decoding method based on energy production and consumption rules is designed to determine the target value. The normalized Chebyshev aggregation function and the adaptive neighborhood update of population evolution degree are used to improve the design of MOEA/D energy planning optimization algorithm. Through simulation and comparison experiments, it is verified that the improved MOEA/D can effectively realize energy planning optimization and improve the convergence of the solution. The optimized scheme reduces the operation cost by 1.3% and energy consumption by 1.2%.

Key words: energy plan, multi-objective, energy consumption, MOEA/D(decomposition-based multi-objective evolutionary algorithm), neighborhood update

CLC Number:

TP18

Hongcai Ouyang, Dinghui Wu, Junyan Fan, Jing Wang. Multi-media Energy Planning Optimization of Steel Based on Improved MOEA/D[J]. Journal of System Simulation, 2023, 35(3): 568-578.

Figures/Tables 12

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主要参数	量值	主要参数	量值
种群大小	120	交叉概率	1
变异概率	0.1	进化程度阈值	0.03
种群邻域规模最小值	10	种群邻域规模最大值	20
缩放因子的随机池	{0.7, 1, 1.1}

测试函数	改进MOEA/D		原MOEA/D-TE
测试函数	IGD	HV	IGD	HV
ZDT1	3.997e-2	0.775 0	5.343e-2	0.694 9
ZDT2	9.975e-3	0.578 5	1.690e-2	0.577 4
ZDT3	1.580e-1	0.596 4	2.350e-1	0.570 3

算法	IGD			HV
算法	min	agv	max	min	agv	max
MOPSO	0.25	0.27	0.30	0.55	0.58	0.60
MOGA	0.19	0.21	0.24	0.58	0.59	0.60
NSGA-II	0.13	0.15	0.18	0.56	0.59	0.61
MOEA/D-WS	0.20	0.23	0.25	0.55	0.57	0.59
MOEA/D-PBI	0.16	0.18	0.20	0.58	0.61	0.63
MOEA/D-TE	0.11	0.14	0.16	0.58	0.62	0.64
改进MOEA/D	0.09	0.11	0.12	0.64	0.65	0.66

时刻	COG/km³	BFG/km³	LDG/km³	NG/km³	电/mWh	S3/t	S2/t	S1/t
1	26.8	1 108.9	48.0	18.4	1 398.0	554.0	144.4	170.1
2	23.1	956.7	41.4	15.8	1 206.1	478.0	124.5	146.8
3	27.3	1 132.0	49.0	18.7	1 427.1	565.5	147.3	173.6
4	25.8	1 067.4	46.2	17.7	1 345.7	533.3	138.9	163.7
5	23.2	962.2	41.7	15.9	1 213.0	480.7	125.2	147.6
6	27.3	1 132.9	49.1	18.8	1 428.3	566.0	147.5	173.8
7	22.2	921.0	39.9	15.2	1 161.1	460.1	119.9	141.3
8	27.2	1 125.5	48.8	18.6	1 418.9	562.3	146.5	172.7
9	23.6	978.5	42.4	16.2	1 233.6	488.8	127.4	150.1
10	27.4	1 135.8	49.2	18.8	1 431.9	567.5	147.8	174.2
11	22.0	913.6	39.6	15.1	1 151.7	456.4	118.9	140.1
12	21.2	877.7	38.0	14.5	1 106.5	438.5	114.2	134.6
13	28.4	1 174.8	50.9	19.5	1 481.1	587.0	152.9	180.2
14	25.8	1 067.5	46.2	17.7	1 345.8	533.3	139.0	163.8
15	21.3	881.6	38.2	14.6	1 111.4	440.4	114.8	135.2
16	21.9	908.9	39.4	15.0	1 145.9	454.1	118.3	139.4
17	28.4	1 174.8	50.9	19.5	1 481.1	587.0	152.9	180.2
18	25.8	1 067.4	46.2	17.7	1 345.7	533.3	138.9	163.7
19	21.4	885.7	38.4	14.7	1 116.6	442.5	115.3	135.9
20	21.8	905.2	39.2	15.0	1 141.2	452.2	117.8	138.9
21	28.4	1 174.8	50.9	19.5	1 481.1	587.0	152.9	180.2
22	21.7	898.8	38.9	14.9	1 133.1	449.0	117.0	137.9
23	21.5	892.1	38.6	14.8	1 124.6	445.7	116.1	136.8
24	28.4	1 174.8	50.9	19.5	1 481.1	587.0	152.9	180.2

介质(万吨标准煤)	优化前	优化后
总计	3.201	3.164
煤	0.637	0.637
COG	0.387	0.387
BFG	0.424	0.392
LDG	0.080	0.080
NG	0.054	0.051
电	0.380	0.380
其他	1.239	1.236