TY - GEN
T1 - A real-time pricing scheme for residential energy systems using a market maker
AU - Braun, Philipp
AU - Grüne, Lars
AU - Kellett, Christopher M.
AU - Weller, Steven R.
AU - Worthmann, Karl
N1 - Publisher Copyright:
© 2015 Engineers Australia.
PY - 2015/12/21
Y1 - 2015/12/21
N2 - Voltage rise is an undesirable side-effect of solar photovoltaic (PV) generation, arising from the flow of surplus electrical power back into the grid when PV generation exceeds local demand. Customers deploying residential-scale battery storage are likely to further exacerbate voltage rise problems for electrical utilities unless the charge/discharge schedules of batteries are appropriately coordinated. In this paper, we present a real-time pricing mechanism for use in a network of distributed residential energy systems (RESs), each employing solar PV generation and battery storage. The pricing mechanism proposed in this paper is based on a Market Maker algorithm in which predicted power profiles and real-time pricing information is iteratively exchanged between a central entity and each of the RESs. The Market Maker formulation presented in this paper is shown via simulation studies to converge to a fixed price vector, thereby reducing the price volatility observed in an earlier formulation, while achieving the same reduction in power usage variability as a centralised model predictive control (MPC) scheme presented previously.
AB - Voltage rise is an undesirable side-effect of solar photovoltaic (PV) generation, arising from the flow of surplus electrical power back into the grid when PV generation exceeds local demand. Customers deploying residential-scale battery storage are likely to further exacerbate voltage rise problems for electrical utilities unless the charge/discharge schedules of batteries are appropriately coordinated. In this paper, we present a real-time pricing mechanism for use in a network of distributed residential energy systems (RESs), each employing solar PV generation and battery storage. The pricing mechanism proposed in this paper is based on a Market Maker algorithm in which predicted power profiles and real-time pricing information is iteratively exchanged between a central entity and each of the RESs. The Market Maker formulation presented in this paper is shown via simulation studies to converge to a fixed price vector, thereby reducing the price volatility observed in an earlier formulation, while achieving the same reduction in power usage variability as a centralised model predictive control (MPC) scheme presented previously.
UR - https://www.scopus.com/pages/publications/84964054354
M3 - Conference Paper
AN - SCOPUS:84964054354
T3 - 2015 Australian Control Conference, AUCC 2015
SP - 259
EP - 262
BT - 2015 Australian Control Conference, AUCC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th Australian Control Conference, AUCC 2015
Y2 - 5 November 2015 through 6 November 2015
ER -