Reformulation of U.S. Day-Ahead Wholesale Power Markets for Improved Intertermporal Operations
نویسندگان
چکیده
U.S. Day-Ahead Markets (DAMs) for wholesale electric power managed by Independent System Operators (ISOs) encompass more than 60% of U.S. generating capacity. The current design of these DAMs encourages a focus on decisions that minimize immediate net costs without explicit consideration of pre-DAM and post-DAM decision opportunities. This study proposes a practical DAM reformulation that enables a coupled consideration of past, current, and future energy/reserve procurement processes. The key innovation is the inclusion of ISO-determined virtual supply offers and virtual demand bids into the DAM power balance equations that permit the ISO to plan to satisfy next-day balancing needs by an efficient mix of energy/reserve cleared before, during, and subsequent to the DAM. The proposed reformulation is illustrated for three types of DAMs: a day-ahead energy market; a co-optimized day-ahead energy/reserve market; and a stochastic co-optimized day-ahead energy/reserve market.
منابع مشابه
Testing the reliability of FERC’s Wholesale Power Market Platform: An Agent-Based Computational Economics Approach
In April 2003 the U.S. Federal Energy Regulatory Commission proposed the Wholesale Power Market Platform (WPMP) for common adoption by U.S. wholesale power markets. The WPMP is a complicated market design encompassing real-time, day-ahead, ancillary, and financial transmission rights markets. Variants of the WPMP have been adopted in various parts of the U.S. (e.g., New England), but other regi...
متن کاملOptimal Bidding Strategies of GENCOs in Day-Ahead Energy and Spinning Reserve Markets Based on Hybrid GA-Heuristic Optimization Algorithm
In an electricity market, every generation company (GENCO) attempts to maximize profit according to other participants bidding behaviors and power systems operating conditions. The goal of this study is to examine the optimal bidding strategy problem for GENCOs in energy and spinning reserve markets based on a hybrid GA-heuristic optimization algorithm. The heuristic optimization algorithm used...
متن کاملOptimal energy management of microgrid in day-ahead and intra-day markets using a copula-based uncertainty modeling method
Recently, economic and environmental problems have created a strong attitude toward utilizing renewable energy sources (RESs). Nevertheless, uncertainty of wind and solar power leads to a more complicated energy management (EM) of RESs in microgrids. This paper models and solves the EM problem of microgrid from the generation point of view. To do this, mathematical formulation of a grid- connec...
متن کاملImpacts of Premium Bounds on the Operation of Put Option and Day-ahead Electricity Markets
In this paper, the impacts of premium bounds of put option contracts on the operation of put option and day-ahead electricity markets are studied. To this end, first a comprehensive equilibrium model for a joint put option and day-ahead markets is presented. Interaction between put option and day-ahead markets, uncertainty in fuel price, impact of premium bounds, and elasticity of con...
متن کاملModeling and Detecting Bidding Anomalies in Day-ahead Electricity Markets
Virtual bids were introduced in U.S. wholesale electricity markets to exploit arbitrage opportunities arising from expected price differences between day-ahead and real-time energy markets. These financial instruments have interactions with other elements of the electricity market design. For instance, virtual bids could affect day-ahead market-clearing prices so as to enhance the value of Fina...
متن کامل