In the ever-evolving landscape of energy distribution, a groundbreaking study led by Vineeth Vijayan from the Center for Energy Systems Research at Tennessee Technological University is set to redefine operational planning for active distribution networks. Published in the journal *Energy* (formerly known as *iEnergy*), Vijayan’s research introduces a multi-objective planning framework that integrates thermal energy storage systems (TESSs), network topology selection, and photovoltaic (PV) inverter reactive power support to tackle critical operational challenges.
The study addresses key issues such as supply-load imbalances and voltage violations, which are exacerbated by the intermittent nature of renewable energy sources. Unlike traditional battery and hydrogen storage systems that focus on peak shaving, Vijayan’s approach leverages ice-based TESSs to directly reduce cooling loads without the need for electrical conversion. This innovative strategy not only enhances efficiency but also minimizes operational stress on control devices like switches and PV inverters.
“Our framework optimizes the dispatch of TESSs, network topology, and PV inverter support to address these operational issues,” Vijayan explains. “The goal is to minimize peak demand, voltage deviations, and PV inverter VAr dependency, ultimately leading to a more stable and efficient distribution network.”
The research employs a mixed-integer nonlinear programming problem solved using a Pareto-based multi-objective particle swarm optimization (MOPSO) method. Simulations conducted on a modified IEEE-123 bus system yielded impressive results, including a 7.1% reduction in peak demand, a 13% reduction in voltage deviation, and a 52% drop in PV inverter VAr usage. These findings underscore the potential of the proposed framework to significantly enhance the operational planning of active distribution networks.
The commercial implications of this research are substantial. By integrating TESSs, optimizing network topology, and leveraging PV inverter support, energy providers can achieve greater operational efficiency and reliability. This, in turn, can lead to cost savings and improved service quality for consumers. “The minimal operational stress on control devices is a key advantage,” Vijayan notes. “This means fewer maintenance issues and longer device lifespans, which are critical for the long-term sustainability of the grid.”
As the energy sector continues to grapple with the challenges of integrating renewable energy sources, Vijayan’s research offers a promising solution. The study’s findings could shape future developments in operational planning, paving the way for more resilient and efficient distribution networks. With the energy landscape rapidly evolving, this research provides a timely and valuable contribution to the field.