TY - JOUR
T1 - Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow
T2 - An Adaptive Stochastic Approach
AU - Li, Zhengmao
AU - Wu, Lei
AU - Xu, Yan
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2021/9
Y1 - 2021/9
N2 - With an increasing penetration level of intermittent renewable energy sources and heterogeneous energy demands, the secure and economic operation of multi-energy microgrids (MEMGs) becomes more and more critical. Under this circumstance, this paper proposes an adaptive (two-layer) stochastic approach to obtain optimal MEMG operation decisions by taking advantage of distinct energy properties. First, rather than merely focusing on the active power economic dispatch, voltage/var control (VVC) scheme is involved to co-optimize the active and reactive power flow while guaranteeing voltage security; Second, a battery degradation model and a comprehensive thermal network model with thermal energy flow and transmission delay are presented to derive practical and efficient operations; Third, a conditional value-at-risk (CVaR)-based risk evaluation method is included to avoid over-optimistic solutions. The original nonlinear operation problem is reformulated as a mixed-integer linear programming (MILP) model to achieve high solution quality with acceptable computation performance. Finally, case studies are conducted to indicate that our proposed approach can effectively coordinate the dispatch of active/reactive power as well as thermal flow, thus ensuring system security with minimal operating costs and risks.
AB - With an increasing penetration level of intermittent renewable energy sources and heterogeneous energy demands, the secure and economic operation of multi-energy microgrids (MEMGs) becomes more and more critical. Under this circumstance, this paper proposes an adaptive (two-layer) stochastic approach to obtain optimal MEMG operation decisions by taking advantage of distinct energy properties. First, rather than merely focusing on the active power economic dispatch, voltage/var control (VVC) scheme is involved to co-optimize the active and reactive power flow while guaranteeing voltage security; Second, a battery degradation model and a comprehensive thermal network model with thermal energy flow and transmission delay are presented to derive practical and efficient operations; Third, a conditional value-at-risk (CVaR)-based risk evaluation method is included to avoid over-optimistic solutions. The original nonlinear operation problem is reformulated as a mixed-integer linear programming (MILP) model to achieve high solution quality with acceptable computation performance. Finally, case studies are conducted to indicate that our proposed approach can effectively coordinate the dispatch of active/reactive power as well as thermal flow, thus ensuring system security with minimal operating costs and risks.
KW - Multi-energy microgrid
KW - battery degradation
KW - risk-averse adaptive stochastic
KW - thermal network
KW - voltage/var control
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U2 - 10.1109/TSG.2021.3080312
DO - 10.1109/TSG.2021.3080312
M3 - Article
AN - SCOPUS:85105871803
SN - 1949-3053
VL - 12
SP - 3914
EP - 3927
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 5
M1 - 9431217
ER -