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

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...

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Main Author: WU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2023-07-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
Online Access:https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-7-887.shtml
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author WU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei
author_facet WU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei
author_sort WU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei
collection DOAJ
description 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.
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spelling doaj.art-98afa13010e141ccbf99a89c92b7a6d02023-07-28T09:09:10ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672023-07-0157788789810.16183/j.cnki.jsjtu.2022.061Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation MarketWU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei01. Department of Electrical Engineering, University of Shanghai for Science and Technology,Shanghai 200093, China;2. Quzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Quzhou 324000, Zhejiang, ChinaWith 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.https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-7-887.shtmldistributed generationtrading modeldistribution locational marginal price (dlmp)network usage chargeshapley value
spellingShingle WU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei
Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market
Shanghai Jiaotong Daxue xuebao
distributed generation
trading model
distribution locational marginal price (dlmp)
network usage charge
shapley value
title Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market
title_full Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market
title_fullStr Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market
title_full_unstemmed Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market
title_short Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market
title_sort calculation method of network usage charge for market oriented trading in distributed generation market
topic distributed generation
trading model
distribution locational marginal price (dlmp)
network usage charge
shapley value
url https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-7-887.shtml
work_keys_str_mv AT wuleihandongmaoguijiangliuweizhouyangfei calculationmethodofnetworkusagechargeformarketorientedtradingindistributedgenerationmarket