TY - GEN
T1 - Chance-constrained ADMM approach for decentralized control of distributed energy resources
AU - Hassan, Ali
AU - Dvorkin, Yury
AU - Deka, Deepjyoti
AU - Chertkov, Michael
N1 - Funding Information:
The work of AH and YD was supported in part by the New York State Energy Research and Development Agency under the project “DER-centric operating and planning tools for power systems”. The work of DD and MC was supported by funding from the U.S. DOE/OE as part of the DOE Grid Modernization Initiative.
Publisher Copyright:
© 2018 Power Systems Computation Conference.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Distribution systems are undergoing a dramatic transition from a passive circuit that routinely disseminates electric power among downstream nodes to the system with distributed energy resources. The distributed energy resources come in a variety of technologies and typically include photovoltaic (PV) arrays, thermostatically controlled loads, energy storage units. Often these resources are interfaced with the system via inverters that can adjust active and reactive power injections, thus supporting the operational performance of the system. This paper designs a control policy for such inverters using the local power flow measurements. The control actuates active and reactive power injections of the inverter-based distributed energy resources. This strategy is then incorporated into a chance-constrained, decentralized optimal power flow formulation to maintain voltage levels and power flows within their limits and to mitigate the volatility of (PV) resources. Our method is shown to improve voltage regulation compliance and reduce power losses.
AB - Distribution systems are undergoing a dramatic transition from a passive circuit that routinely disseminates electric power among downstream nodes to the system with distributed energy resources. The distributed energy resources come in a variety of technologies and typically include photovoltaic (PV) arrays, thermostatically controlled loads, energy storage units. Often these resources are interfaced with the system via inverters that can adjust active and reactive power injections, thus supporting the operational performance of the system. This paper designs a control policy for such inverters using the local power flow measurements. The control actuates active and reactive power injections of the inverter-based distributed energy resources. This strategy is then incorporated into a chance-constrained, decentralized optimal power flow formulation to maintain voltage levels and power flows within their limits and to mitigate the volatility of (PV) resources. Our method is shown to improve voltage regulation compliance and reduce power losses.
KW - Chance constraints
KW - Distribution systems optimal power flow
KW - PV generation
KW - Uncertainty
KW - Voltage regulation
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U2 - 10.23919/PSCC.2018.8442973
DO - 10.23919/PSCC.2018.8442973
M3 - Conference contribution
AN - SCOPUS:85053991639
SN - 9781910963104
T3 - 20th Power Systems Computation Conference, PSCC 2018
BT - 20th Power Systems Computation Conference, PSCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th Power Systems Computation Conference, PSCC 2018
Y2 - 11 June 2018 through 15 June 2018
ER -