Assessing the Impact of Demand Response on Renewable Energy Exploitation in Smart Grids with Multi-dimensional Uncertainties

The demand for renewable energy is increasing, and demand response (DR) is seen as a valuable tool for managing operational uncertainties and integrating renewable energy sources into power systems. This paper proposes a new methodology to quantify the benefits of incentive-based DR programs in the smart distribution network to facilitate renewable energy integration. The demand for renewable energy is increasing, and DR is seen as a valuable tool for managing operational uncertainties and integrating renewable energy sources into power systems. This paper proposes a new methodology to quantify the benefits of incentive-based DR programs in the smart distribution network to facilitate renewable energy integration. The proposed method includes an advanced uncertainty modeling approach for DR that accurately represents DR resources' stochastic nature and their role in facilitating renewable energy usage. The modeling of demand-side activities is divided into distinct modules, including load usage, contract selection, and actual execution. The paper considers 11 scenarios to demonstrate the impact of different operational schemes on renewable energy consumption rates and system operation costs, providing examples of different DR participation ratios, renewable energy unit structures, and DR load types. The results illustrate the contribution of DR to renewable energy utilization and system operation costs. Overall, this paper proposes a methodology to quantify the potential benefits of incentive-based DR programs in the smart distribution network of the future, which can help optimize system operation costs and facilitate renewable energy integration.