Xin Fang

TL;DR: In this paper, a new strategic bidding model for an LSE is proposed in which the primary objective is to maximize the LSE's profit by providing optimal coupon-based demand response (C-DR) programs to customers.

TL;DR: In this article, the steady-state coordinated operation of electricity networks and natural gas networks to maximize profits under market paradigm considering demand response is investigated under steady state operating conditions where combined cycle gas turbine (CCGT) generators consume natural gas and offer to the electricity market.

TL;DR: The concept of a comfort indicator, an advanced reward system, and a framework for aggregating residential demands enrolled in incentive-based demand response (DR) programs are introduced, which not only allocates load serving entities’ demand reduction requests among residential appliances quickly and efficiently without affecting residents’ comfort levels.

TL;DR: To address the uncertain renewable energy in the day-ahead optimal dispatch of energy and reserve, a multi-stage stochastic programming model is established in this paper to minimize the expected total costs and to deal with the “Curse of Dimensionality” of stochastically programming.

TL;DR: A new electricity market-clearing mechanism based on locational marginal prices (LMPs) for pricing uncertain generation and load and the proposed U-LMP formulation includes two new uncertainty components: transmission line overload uncertainty price and generation violation uncertainty price.