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Energy management system for hybrid PV-wind-battery microgrid using convex programming, model predictive and rolling horizon predictive control with experimental …
The integration of energy storage technologies with renewable energy systems can
significantly reduce the operating costs for microgrids (MG) in future electricity networks. This …
significantly reduce the operating costs for microgrids (MG) in future electricity networks. This …
The real-time pricing optimization model of smart grid based on the utility function of the logistic function
Y Li, J Li, J He, S Zhang - Energy, 2021 - Elsevier
The utility function is very significant for solving the real-time pricing problem of smart grid.
Based on the Logistic function, a new utility function is constructed to satisfy four properties …
Based on the Logistic function, a new utility function is constructed to satisfy four properties …
Optimal residential battery storage operations using robust data-driven dynamic programming
In this paper, we consider the problem of operating a battery storage unit in a home with a
rooftop solar photovoltaic (PV) system so as to minimize expected long-run electricity costs …
rooftop solar photovoltaic (PV) system so as to minimize expected long-run electricity costs …
Multi-interval programming based scheduling of appliances with user preferences and dynamic pricing in residential area
GR Goyal, S Vadhera - Sustainable Energy, Grids and Networks, 2021 - Elsevier
In industrial and commercial sectors, numerous countries had successfully implemented the
dynamic pricing as a solution to the problem of high power demand in peak hours. But, an …
dynamic pricing as a solution to the problem of high power demand in peak hours. But, an …
Proactive home energy storage management system to severe weather scenarios
In dynamic energy markets with real-time tariffs, residential power management systems
must identify optimal solutions for the energy stored and transacted with the power grid. On …
must identify optimal solutions for the energy stored and transacted with the power grid. On …
A cosh-based smoothing Newton algorithm for the real-time pricing problem in smart grid
Y Li, J Li, Z Yu, J Dong, T Zhou - International Journal of Electrical Power & …, 2022 - Elsevier
In a smart grid system, different types of electricity users such as residential, commercial and
industrial users have different utility functions. This paper proposes a nonlinear constrained …
industrial users have different utility functions. This paper proposes a nonlinear constrained …
Regulation effect of smart grid on green transformation of electric power enterprises: Based on the investigation of “leader” trap
C Li, Y Zhang, S Pratap, L Zhou, B Liu… - Frontiers in Energy …, 2022 - frontiersin.org
The 2060 carbon neutral target reflects the long-term equilibrium and stability of production
activities and the natural environment. As an important part of Chinese energy structure, the …
activities and the natural environment. As an important part of Chinese energy structure, the …
Smart home appliances' scheduling by two-stage optimization with real-time price model
GR Goyal, S Vadhera - Electric Power Components and Systems, 2023 - Taylor & Francis
Residential load control focuses on reducing both the monthly electricity expense and the
peak demand for electricity. The efficient scheduling of smart home appliances' operational …
peak demand for electricity. The efficient scheduling of smart home appliances' operational …
Development of two stage optimization-based demand response technique for smart homes under real time pricing
GR Goyal, S Vadhera - Turkish Journal of Electrical …, 2023 - journals.tubitak.gov.tr
Residential load management deals with two major objectives viz. minimizing the cost of
monthly electricity bill and peak demand of power consumption. Both objectives can be …
monthly electricity bill and peak demand of power consumption. Both objectives can be …
Bi-objective Optimal Scheduling of Smart Homes Appliances Using Artificial Intelligence
GR Goyal, S Vadhera - Advances in Artificial Intelligence for Renewable …, 2023 - Springer
The residential load shares a large portion of the total electricity consumption (about 27%).
Management of power demand by residential consumers is considered difficult because it …
Management of power demand by residential consumers is considered difficult because it …