In a significant stride towards optimizing renewable energy integration, researchers have developed a novel framework that enhances the coordination of on-site and off-site energy resources under corporate power purchase agreements (CPPAs). This advancement, published in the journal *IEEE Access* (which translates to “IEEE Open Access”), addresses the growing challenges of managing output fluctuations from photovoltaic (PV) systems, a critical issue as more businesses adopt solar energy.
The study, led by Jindan Cui from the Department of Electrical Engineering at Tokyo University of Science, introduces a sophisticated algorithm designed to generate optimal day-ahead planned power flows (PPFs). This algorithm not only considers business continuity planning (BCP) requirements but also effectively manages real-time operations of battery energy storage systems (BESS). “Our model aims to minimize grid dependence, maximize surplus electricity sales, and balance PV utilization with revenue maximization,” Cui explains. The framework is particularly relevant for businesses equipped with on-site PV systems and BESS, as well as those with access to off-site solar power plants.
The research proposes a dual approach: an on-site CPPA for direct power supply and an off-site CPPA that enables remote energy supply from a solar power plant, facilitating power sharing among customers. By employing multi-objective optimization, the algorithm adjusts a weighting coefficient to prioritize either PV utilization or revenue generation. A lower coefficient increases PV utilization, while a higher value boosts revenue. This flexibility allows businesses to tailor their energy strategies to their specific needs and market conditions.
Simulation results demonstrate that optimal BESS operations significantly reduce PV generation prediction errors, minimize reverse power flow, and ensure BCP compliance with approximately 97.5% backup power reliability. “The optimal coordination of on-site and off-site CPPAs enhances local consumption of PV-generated electricity while aligning power transactions with market prices to maximize revenue,” Cui notes. This integration not only improves energy efficiency but also aligns power transactions with market prices, maximizing revenue potential.
The implications of this research are far-reaching for the energy sector. As businesses increasingly seek to procure renewable energy through CPPAs, the need for advanced energy management frameworks becomes paramount. This study provides valuable insights for developing sophisticated business models and algorithms, particularly in post-feed-in tariff (FIT) agreements. By optimizing the use of PV systems and BESS, businesses can reduce their reliance on the grid, enhance energy resilience, and capitalize on market opportunities.
As the energy landscape continues to evolve, the findings from this research offer a blueprint for future developments in renewable energy integration and management. By leveraging advanced algorithms and strategic planning, businesses can navigate the complexities of renewable energy procurement and operation, paving the way for a more sustainable and economically viable energy future.