As part of the day-ahead market clearing process, MISO solves one of the most challenging Security Constrained Unit Commitment (SCUC) models. With the footprint expansion and increased financial activities, the day-ahead market unit commitment may encounter performance challenges from time to time. This paper reviews MISO’s day-ahead market clearing process and identifies the factors contributi...

Electricity markets face a substantial amount of uncertainty. Traditionally this uncertainty has been due to varying demand. With the integration of larger proportions of volatile renewable energy, this added uncertainty from generation must also be faced. Conventional electricity market designs cope with uncertainty by running two markets: a day ahead or pre-dispatch market that is cleared ahe...

In this paper we present results from an agent-based simulation model of two sequentially cleared electricity markets. Agents can bid on both a day-ahead market for physical delivery contracts and a day-ahead balancing power market and learn from their achieved results. Different scenarios of the order of market clearing and pricing rules are tested and their results are compared. We show that ...

• Amit Saraswat, Ashish Saini and Ajay Kumar Saxena, “A Novel Multi-Zone Reactive Power Market Settlement Model: A Pareto-Optimization Approach”, Energy, Elsevier. Available Online at: http://dx.doi.org/10.1016/j.energy.2012.12.009 (In Press) • Ashish Saini and Amit Saraswat, “Multi-Objective Day-Ahead Localized Reactive Power Market Clearing Model using HFMOEA”, Int. J. of Electrical Power & E...

In this study, the Market Clearing Price (MCP) is forecasted with Artificial Neural Networks and modeling success examined for different preprocessing strategies. The purpose of study to obtain optimum model a significant estimation provide best price prediction. hour-based electricity generation data diverse production items are assigned as inputs resulting MCP modeled. raw first cleaned from ...

The significant penetration rate of wind turbines in power systems made some challenges in the operation of the systems such as large-scale power fluctuations induced by wind farms. Gas-fired plants with fast starting ability and high ramping can better handle natural uncertainties of wind power compared to other traditional plants. Therefore, the integration of electrical and natural gas syste...

In this paper, impacts of day-ahead market pricing on behavior of producers and consumers in option and day-ahead markets and on option pricing are studied. To this end, two comprehensive equilibrium models for joint put option and day-ahead markets under pay-as-bid and uniform pricing in day-ahead market are presented, respectively. Interaction between put option and day-ahead markets, uncerta...

In this paper, considering real time wind power uncertainties, the strategic behaviors of wind power producers adopting two different bidding modes in day-ahead electricity market is modeled and experimentally compared. These two different bidding modes only provide a wind power output plan and a bidding curve consisting of bidding price and power output, respectively. On the one hand, to signi...