In a significant stride towards optimizing energy management in smart communities, researchers have developed a novel strategy that leverages demand-side response and game theory to enhance the integration of renewable energy sources. The study, led by HOU Langbo from the School of Energy, Power and Mechanical Engineering at North China Electric Power University, was recently published in the journal *Power Technology*.
As renewable energy penetration continues to grow, traditional energy scheduling models are struggling to keep up. The challenge lies in effectively coordinating multiple energy sources and flexible loads within a community. HOU Langbo and his team have addressed this issue by proposing an energy trading strategy that optimizes energy scheduling based on user demand-side response.
The researchers established a two-stage scheduling optimization model using the Stackelberg game framework. This approach considers the pricing interactions between community operators and user load aggregators, coordinating distributed photovoltaics, energy storage systems, and flexible loads. “Our model aims to achieve a rational allocation of multiple energy sources within a community,” HOU explained. “By doing so, we can enhance the integration of renewable energy and ensure grid operational security.”
The results of the study are promising. Compared to traditional heat-determined power strategies, the proposed model reduces operational costs by 40.22% and increases photovoltaic utilization by 22.57%. Even when compared to conventional cost-optimal operation strategies, the model still results in a 29.66% reduction in operational costs and a 6.78% increase in photovoltaic utilization.
The implications of this research for the energy sector are substantial. As communities worldwide strive to become smarter and more sustainable, effective energy management strategies will be crucial. The proposed strategy not only optimizes energy scheduling but also ensures equitable benefit distribution, mitigates power fluctuations, and flexibly meets peak-load demands.
“This research has the potential to shape the future of energy management in smart communities,” said HOU. “By optimizing the use of renewable energy sources and reducing operational costs, we can contribute to a more sustainable and efficient energy future.”
As the world continues to transition towards renewable energy, studies like this one will be instrumental in developing effective strategies for energy management. The research published in *Power Technology* offers a promising approach that could significantly impact the energy sector and contribute to a more sustainable future.