Smart city landscape architecture for sustainable urbanization in digital twin: Practical sustainable and reliable renewable based smart cities energy hub development

In our pursuit of sustainable and reliable Smart Cities Energy Hubs, we employ Digital Twin technology for precise modeling. Focusing on CHP known as combined heat and power for the energy hubs, we address winter heat load challenges while integrating renewable energy within UEN as unified energy networks. Power IoTs known as PIoTS which is known as the Power Internet of Things, facilitates seamless data transmission, enhancing UEN flexibility and renewable energy accommodation. Using Covariance Matrix Adaptation Evolution Strategy, this research optimizes UENs within PIoTs' framework. We develop a digital twin incorporating combined demand response (DR) and essential UEN components. Formulating a bi-level economic dispatching process via PIoTs and UEN, our approach optimizes total UEN function and demand -side equipment output using Covariance Matrix Adaptation Evolution Strategy known as CMA-ES. Testing against standard and practical UEN models validates our method's efficiency. Through Digital Twin modeling and CMA-ES, our study revolutionizes Smart Cities Energy Hub development, offering a sustainable path forward.