Dynamic Market-Clearing Model in a Hybrid Power Market Using Parallel Processing

作者：Kim Mun Kyeom^*

来源：Journal of Energy Engineering, 2017, 143(1): 04016033.

DOI：10.1061/(ASCE)EY.1943-7897.0000372

• Benders decomposition
• Nodal price (NP)
• Nodal congestion price (NCP)
• Market-clearing model
• Small-perturbation stability constrained optimal power flow (SSC-OPF)

Electricity sector restructuring has introduced competition to the electric power industry by establishing appropriate pricing signals that can maintain the security and economic performance of the power market and help minimize stability problems. In this paper, a market-clearing model for pricing system security in a hybrid power market utilizing pool and bilateral transactions is proposed. The market-clearing procedure uses small-perturbation stability-constrained optimal power flow (SSC-OPF) to help independent system operators (ISOs) adhere to required stability criteria. A contingency screening method in which only transmission line outages that threaten system stability are also considered to reduce the size of the SSC-OPF problem. Using a decomposition method, the determination of small-signal instabilities under an N-1 contingency criterion is specifically divided from the main SSC-OPF problem, and the results of the required stability criteria, along with those of decomposition formulae that adequately price electricity by computing nodal prices (NPs) and nodal congestion prices (NCPs), are demonstrated in terms of market solutions. To verify the effectiveness of this proposed market-clearing scheme, it is analyzed using an IEEE 14-bus test system; the results show that the proposed approach can be used to improve market and system operation by more accurately modeling system stability.

• 出版日期2017-2