QP Zheng, J Wang, AL Liu - IEEE Transactions on Power …, 2014 - ieeexplore.ieee.org
Optimization models have been widely used in the power industry to aid the decision- making process of scheduling and dispatching electric power generation resources, a …
P Akbary, M Ghiasi, MRR Pourkheranjani… - Computational …, 2019 - Springer
This paper proposes a framework to extract appropriate locational marginal prices for each type of reserve (up-/down-going reserves at both generation-and demand-sides). The …
Energy optimization plays a vital role in energy management, economic savings, effective planning, reliable and secure power grid operation. However, energy optimization is …
P Pinson, H Madsen - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Advances in IT, control and forecasting capabilities have made demand response a viable, and potentially attractive, option to increase power system flexibility. This paper presents a …
In this study, a stochastic programming model is proposed to optimize the performance of a smart micro-grid in a short term to minimize operating costs and emissions with renewable …
Wind and solar energy introduced significant operational challenges in a Microgrid (MG), especially when renewable generations vary from forecasts. In this paper, forecast errors of …
Most relevant decisions to be made by market agents within an energy market involve a significant level of data uncertainty. For agents to make informed decisions within such a …
H Abdi, SD Beigvand, M La Scala - Renewable and Sustainable Energy …, 2017 - Elsevier
The term smart grid refers to a modernization of the electrical network consisting in the integration of various technologies such as dispersed generation, dispatchable loads …
MR Sarker, Y Dvorkin… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
An aggregator acts as a mediator between the system operator and residential customers, enabling mutually beneficial coordination for electric vehicle (EV) owners and the power …