Michael C. Caramanis

TL;DR: In this article, the optimal spot prices for an electrical system are derived for a transmission network, customers, central generators, and independent generators, where the system is subject to stochastic failures and stochastically demand parameters.

TL;DR: In this paper, a new concept of electricity pricing referred to as "spot pricing" is presented and a set of rates related to optimal spot prices are proposed and their applicability is discussed in view of different customer characteristics, metering, and communication costs.

TL;DR: A distributed, massively parallel architecture that enables tractable transmission and distribution locational marginal price (T&DLMP) discovery along with optimal scheduling of centralized generation, decentralized conventional and flexible loads, and distributed energy resources (DERs).

TL;DR: A decision support method is developed for an EV Load Aggregator or Energy Service Company that controls the battery charging for a fleet of EVs and a hierarchical decision making methodology is proposed for hedging in the day-ahead market and for playing the real-time market in a manner that yields regulation service revenues and allows for negotiated discounts on the use of distribution network payments.

TL;DR: A near-optimal controller design technique is proposed, which provides an approximate numerical solution to the Bellman equation, a tight lower bound for the optimality gap of tractable, near-Optimal controller designs, and a building block for improved,Nearoptimal Controller designs that rely on the decomposition of a multiple part-type problem to smaller (two or three part- type) problems.