Genetic Algorithm-Based Optimization of Regional Power Scheduling Problem and Provincial Electricity Market Bidding Mechanism

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Comparison of coal-saving among different modes

Market model	Typical day	Mean coal consumption/ (g/kwh)	Depletion of coal (g/kWh)	Daily charge (GWh)	Daily reducing coal WT	Per Year reducing coal WT
Service hour	Typical Winter day	334.9	0	1218	0	0
	Typical Summer day	332.7	0	1269	0
Energy saving dispatching	Typical Winter day	323.8	10.2	1218	1.201	430.5175
	Typical Summer day	323.1	9.1	1269	1.158
Bidding	Typical Winter day	326.5	6.5	1218	0.804	303.4975
	Typical Summer day	325.6	6.7	1269	0.859
Juggling pattern	Typical Winter day	324.7	8.4	1218	1.048	397.6675
	Typical Summer day	323.9	9.7	1269	1.131

Comparison of trans-provincial power energy in winter

Energy saving mode
Direction	Extreme value		Peak		Normal segment		Trough		Total
	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity
Hubei to Jiangxi	251	485	227	1386	217	2318	164	818	2018	5002
Hubei to Sichuan	101	201	104	623	106	1156	108	532	105	2478
Chongqing to Sichuan	605	1194	615	3691	617	6827	615	3056	617	14768
Total	957	1880	946	5700	940	10301	887	4406	2740	22248
The energy saving scheduling model of the power market
Direction	Extreme value		Peak		Normal segment		Trough		Total
	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity
Hubei to Henan	623	1247	583	3536	596	6572	478	2391	570	13850
Hunan to Henan	204	408	196	1142	195	5146	158	764	184	4478
Chongqing to henan	296	586	276	1667	287	3128	228	1135	283	6528
Sichuan to Hubei	251	504	254	1538	253	2768	249	1259	252	6003
Sichuan to Jiangxi	251	504	256	1538	253	2768	249	1248	252	6003
Sichuan to Chongqing	1587	3196	1208	7211	1385	15199	737	3679	1217	29395
Total	3212	6445	2773	16632	2969	35581	2099	10476	2758	66257

Comparison of hydropower discharge strategy

Time/hour	Risk neutrality	Risk aversion
		Maximum risk punishment	Risk constraint method
1	1318.89	1042.24	1303.68
2	1270.24	870.99	989.23
3	1737.69	1586.34	1394.63
4	1461.38	1162.51	857.49
5	1559.17	1669.25	1513.11
6	1125.75	2010.26	1300.64
7	1605.75	2232.08	1622.93
8	1601.97	2036.33	1773.61
9	1311.5	2019.03	1533.9
10	1441.86	2209.13	1350.8
11	1748.88	2184.71	1858.63
12	1721.71	1983.37	1687.42
13	1356.63	843.19	1682.64
14	1494.16	1775.52	1502.11
15	1502.81	1076.39	1282.53
16	1584.27	639.99	1505.81
17	1447.01	1367.85	1573.06
18	1657.18	1146.57	1228.48
19	1647.96	901.84	1810.7
20	1480	2266.34	1912.85
21	1130.18	1483.59	1826.94
22	1690.53	1737.49	1850.16
23	1197.21	554.44	1115.34
24	1230.88	548.75	869.68

Comparison of trans-provincial power energy in summer

Energy saving mode
Direction	Extreme value		Peak		Normal segment		Trough		Total
	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity
Henan to hubei	1596	3176	1477	8731	1408	15398	1153	5718	1386	33171
Henan to Jiangxi	247	508	285	1375	216	2347	167	836	215	5094
Sichuan to hubei	483	964	475	2609	417	4528	335	1695	407	9825
Sichuan to Hunan	74	147	76	438	75	796	72	357	76	1723
Chongqing to Hubei	1049	2135	988	5857	935	10318	768	3845	931	22039
Chongqing to Hunan	106	191	102	602	96	1059	95	489	97	2347
Total	3555	7121	3403	19612	3147	34446	2590	12940	3112	74199
The energy saving scheduling model of the power market
Direction	Extreme value	Peak	Normal segment	Trough	Total
	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity	Electric power	Electric quantity
Henan to hubei	1937	3861	1937	11871	2028	22276	1641	8177	1935	45863
Henan to Hunan	158	309	158	935	168	1819	151	748	162	3712
Chongqing to Hubei	472	954	472	2864	498	5463	408	2019	469	11309
Sichuan to Hubei	258	502	258	1536	259	2769	258	1283	258	6003
Sichuan to jiangxi	258	502	258	1536	259	2769	258	1283	258	6003
Sichuan to Chongqing	1536	3196	1207	7315	1368	15178	726	3696	1237	29247
Total	4619	9324	4290	26057	4580	50274	3442	17206	4319	102137

Comparison of average coal consumption rate among different modes

The average winter day in the winter is the average electricity consumption
Province	Service hour	Energy saving dispatching	bidding	Juggling pattern
Hupei	335.1	327.6	330	327.6
Henan	342.3	328.5	334.7	327
Hunan	327.9	320.9	324.5	322.3
Jiangxi	339.2	332.2	333.3	331.5
Sichuan	343.8	330.2	329.7	330.2
Chongqing	333.1	326.8	331.6	329.7
The average Summer day in the winter is the average electricity consumption
Province	Service hour	Energy saving dispatching	bidding	Juggling pattern
Hupei	331.4	324.3	325.6	324.9
Henan	342.1	332.3	333.5	331
Hunan	325.2	316.9	323.9	317.5
Jiangxi	338.3	335.3	338.6	336.7
Sichuan	346.2	325	322.8	323.4
Chongqing	332.6	325.9	329.2	323.7

Comparison of average purchasing cost among different modes

The average purchase price of electricity prices in the typical days of winter
Province	Service hour	Energy saving dispatching	bidding	Juggling pattern
Hupei	439.4	442.1	406.8	432.5
Henan	390.7	393.5	381.1	383.1
Hunan	427.6	435	403.7	419.6
Jiangxi	416.5	427.2	394.4	408.1
Sichuan	379.2	375.9	379.9	365.2
Chongqing	373	375.5	365.7	366.5
The average purchase price of electricity prices in the typical days of Summer
Province	Service hour	Energy saving dispatching	bidding	Juggling pattern
Hupei	428.6	433.2	395.7	406.8
Henan	388.6	397.1	380.4	384.3
Hunan	402.5	414.1	384.1	392.5
Jiangxi	419	420	388.8	409.1
Sichuan	358.9	357.6	346.2	358.4
Chongqing	363.6	369.7	361.7	365.6

The comparison of the income, risk and the end capacity of the next period

Time/hour	Risk neutrality	Risk aversion
				Maximum risk punishment	Risk constraint method
Expected earnings/(104rmb)	1473.78	1527.86	1506.63
Risk/(rmb)	104839	573.47	8194.7
The end volume constraint violation quantity/m3	8.03	12918.5	-2084.6