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This paper presents a hierarchical demand response (DR) bidding framework in the day-ahead energy markets which integrates customer DR preferences and characteristics in the ISO's market clearing process. In the proposed framework, load aggregators submit aggregated DR offers to the ISO which would centrally optimize final decisions on aggregators' DR contributions in wholesale markets. The hourly...
This paper presents a mixed-integer linear programming (MILP) reformulation of the thermal unit commitment (UC) problem. The proposed formulation is simultaneously tight and compact. The tighter characteristic reduces the search space and the more compact characteristic increases the searching speed with which solvers explore that reduced space. Therefore, as a natural consequence, the proposed formulation...
A mixed integer linear programming (MILP) model for scheduling of the short-term operation of a price-taker hydroelectric plant is presented. The objective of the model is to maximize the profit of energy production in the next hours' operations. Non-linear production curves of hydro power units are considered through a piecewise representation. A detailed modeling of the hydro network is also described...
This paper proposes a stochastic, multi-objective optimization model within a Model Predictive Control (MPC) framework, to determine the optimal operational schedules of residential appliances operating in the presence of renewable energy source (RES). The objective function minimizes the weighted sum of discomfort, energy cost, total and peak electricity consumption, and carbon footprint. A heuristic...
This paper presents a two-step modified priority list (MPL) based mixed integer linear programming (MILP) method for improving the computational speed of unit commitment (UC) programs while preserving optimality. In the first step, the heuristics of UC results for a given generation fleet are investigated to develop the MPL. A subset of the generators are determined to be online (committed) or offline...
This paper proposes a Mixed Integer Linear Programming (MILP) framework to accommodate more Building Integrated Photovoltaic (BIPV) System in distribution networks. The proposed framework is introduced to efficiently manage energy consumption of building equipped with a Battery Energy Storage System (BESS) and BIPV system. Models of distributed energy resources (DERs) in a building are investigated...
One of the main factors impacting the system reliability nowadays is the growing interdependence between electricity and gas networks due to the increase in the installation of gas units. Security-constrained unit commitment (SCUC) models are utilized to economically schedule generating units without compromising the system reliability. This paper proposes a novel SCUC formulation that includes dynamic...
The constant increment in the penetration of renewable energy sources requires the improvement of the flexibility of the power system. Due to its high generation cost, it is expected that insular power systems experience an important increment in the power generation from renewable energy sources and, under this perspective, an energy storage system (ESS) could be the key factor to meet this goal...
In this paper, a Mixed Integer Linear Programming (MILP) based rolling optimization approach under real time pricing (RTP) policy is introduced to efficiently manage energy consumption of a smart home equipped with a Battery Energy Storage System (BESS) and a solar PV system. Models of distributed energy resources (DERs) in a smart house are developed and accordingly optimal management of total energy...
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