Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market

doi:10.16183/j.cnki.jsjtu.2022.061

Abstract

Abstract:

With the gradual advancement of the market-oriented process of distributed generation, it is difficult to accurately distinguish the use degree of power grid assets by prosumers via pricing method of uniform calculation of network usage charge according to user access voltage. Therefore, this paper proposes a calculation method of network usage charge suitable for market-oriented trading of distributed generation. The characteristics of the peer-to-peer (P2P) trading model and the community-based (CB) trading model in distributed generation market are discussed from the perspective of prosumers. Meanwhile, the power trading models of the P2P model and the CB model are constructed. The optimal power flow model based on second-order cone relaxation is used to determine the distribution of power flow in distribution network, and the distribution locational marginal price is calculated with the economic significance of dual multiplier. Considering the transitivity of dual multipliers, calculation models of the network usage charge of the P2P trading model and the CB trading model are established by coupling the power trading model and the optimal power flow model. The limitations of the CB trading model are analyzed, and the Shapley value method is used to realize the fair allocation of network usage charge according to marginal contribution. By using the improved IEEE15 bus and IEEE123 bus test systems, the availability and feasibility of the proposed calculation method of network usage charge in distributed generation market are verified.

Key words: distributed generation, trading model, distribution locational marginal price (DLMP), network usage charge, Shapley value

CLC Number:

F407.61

WU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei. Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market[J]. Journal of Shanghai Jiao Tong University, 2023, 57(7): 887-898.

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社区编号	买方编号	?_t/美元
1	1	4.6746
1	12	0.1029
1	13	0.0240
1	14	0.1766
2	4	0.0004
2	5	0.0013
2	6	0.0014
3	8	0.0020
3	9	0.0023
3	10	0.0026
3	11	0.0015

交易模式	生产者收益/美元	消费者支付/美元	过网费/美元
P2P	73.5621	83.7618	10.1997
CB	76.1426	81.1322	4.9896

节点	R	X	S	B	p^c/kW	q^c/kvar	π /[美元· (MW·h)^-1]	γ_com /[美元· (MW·h)^-1]	γ_imp /[美元· (MW·h)^-1]	γ_exp /[美元· (MW·h)^-1]
0							50
1	0.0010	0.1200	2.000	0.0011	793.6	185.5		0.2000	1.0
2	0.0833	0.1262	0.256	0.0028	0.0000	0.0000	10	0.1809		0.90
3	0.1384	0.1978	0.256	0.0024	0.0000	0.0000	10	0.9045		0.90
4	0.0191	0.0273	0.256	0.0004	17.3	4.3		0.2000	1.0
5	0.0175	0.0251	0.256	0.0008	29.1	7.3		0.2000	1.0
6	0.0482	0.0689	0.256	0.0006	21.9	5.5		0.2000	1.0
7	0.0523	0.0747	0.256	0.0006	0.0000	0.0000	10	0.9045		0.95
8	0.0407	0.0582	0.256	0.0012	23.5	5.9		0.2000	1.1
9	0.0100	0.0143	0.256	0.0004	22.9	14.2		0.2000	1.1
10	0.0241	0.0345	0.256	0.0004	21.7	6.5		0.2000	1.1
11	0.0103	0.0148	0.256	0.0001	13.2	3.3		0.2000	1.1
12	0.0010	0.1200	1.000	0.0001	621.9	129.1		0.2000	1.0
13	0.1559	0.1119	0.204	0.0002	1.4	0.8		0.2000	1.0
14	0.0953	0.0684	0.204	0.0001	22.4	8.3		0.2000	1.0

卖方编号	边际成本/ [美元·(MW·h)^-1]	设备容量/MW
0	20	0.8
2	10	0.5
12	10	0.5
20	9	0.5
60	11	0.5
71	10	0.5
77	9	0.5
107	10	0.5
120	11	0.5