Xinyu He, Ping Dong, Mingbo Liu, 等. P2P Energy Trading Considering Prosumer Preference and System Risk[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):1179-1194.
Xinyu He, Ping Dong, Mingbo Liu, et al. P2P Energy Trading Considering Prosumer Preference and System Risk[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1179-1194.
Xinyu He, Ping Dong, Mingbo Liu, 等. P2P Energy Trading Considering Prosumer Preference and System Risk[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):1179-1194.DOI: 10.17775/CSEEJPES.2021.06870.
Xinyu He, Ping Dong, Mingbo Liu, et al. P2P Energy Trading Considering Prosumer Preference and System Risk[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1179-1194.DOI: 10.17775/CSEEJPES.2021.06870.
P2P Energy Trading Considering Prosumer Preference and System Risk
摘要
Abstract
As an important means of mobilizing demand-side resources
peer-to-peer (P2P) energy trading has drawn more and more attention from scholars. This paper constructs a P2P energy trading framework considering prosumers' trading partner preferences (TPPs) and system risk. At first
we build the P2P trading models of prosumers equipped with different distributed energy resources (DERs)
and TPP models. Secondly
to solve the established energy trading problem
a fully distributed double-consensus alternating direction method of multipliers (DC-ADMM) is proposed
which can achieve transaction consensus when considering market players' TPPs. Then
a risk-based security constrained economic dispatch (RB-SCED) model based on AC power flow is established for the first time
by which a distribution system operator (DSO) checks system security and obtains risk-based locational marginal prices (RLMPs). Moreover
double-regulated price signals related to RLMPs which contain grid utilization prices (GUPs) and DSO's retail prices realize management of players' transactions. In the end
the proposed method is applied to an IEEE33 bus distribution system. Results show the proposed method effectively reduces system risk and ensures secure operation of system without direct management.