Sleiman Mhanna

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A major challenge to implementing residential demand response is that of aligning the objectives of many households, each of which aims to minimize its payments and maximize its comfort level, while balancing this with the objectives of an aggregator that aims to minimize the cost of electricity purchased in a pooled wholesale market. This paper presents a(More)
This letter presents a distributed algorithm for aggregating a large number of households with mixed-integer variables and intricate couplings between devices. The proposed distributed gradient algorithm is applied to the double smoothed dual function of the adopted DR model. Numerical results show that, with minimal parameter adjustments, the convergence(More)
This paper proposes a component-based dual decomposition of the nonconvex AC optimal power flow (OPF) problem, where the modified dual function is solved in a distributed fashion. The main contribution of this work is that is demonstrates that a distributed method with carefully tuned parameters can converge to globally optimal solutions despite the(More)
DC power flow approximations are ubiquitous in the electricity industry. However, these linear approximations fail to capture important physical aspects of power flow, such as the reactive power and voltage magnitude, which are crucial in many applications to ensure voltage stability and AC solution feasibility. This paper proposes two LP approximations of(More)
In the quest for a realistic implementation of mechanism design in demand response, a two-stage mechanism is proposed in this paper for sharing the cost of electricity among strategic, rational, and selfish household agents that have private information about their preferences. Whereas mechanisms in prior works charge the agents based on their day-ahead(More)
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