Optimal planning in combined electricity and heat operations, considering demand response

To address energy shortages and environmental pollution, expanding power unit and transmission line capacities alone is not enough to meet growing electricity demand and grid limitations. Demand response helps by encouraging users to adjust their energy consumption through dynamic pricing or incentives, improving flexibility and enhancing wind power integration. This paper proposes a day-ahead optimal scheduling strategy for integrated electricity and thermal systems, considering multiple demand response mechanisms. It uses situational awareness technology to manage uncertainties of renewable energy sources. The study models the demand response in power systems and the thermal inertia of regional heating systems to regulate loads efficiently. An optimal scheduling model is developed, incorporating an energy consumption evaluation index. A case study with a ۳۹-node power grid and a ۶-node heat network demonstrates the benefits of demand response and situational awareness, showing improvements in renewable energy consumption and overall system efficiency.

کلیدواژه ها:

demand response ، day-ahead optimal ، thermal system ، wind power consumption