Abstract
In the context of the Energy Internet, customers are supplied by energy hubs (EH), while the EHs are interconnected through an upper-level transmission system. In this paper, a stochastic scheduling model is proposed for the interconnected EHs considering integrated demand response (DR) and wind variation. The whole integrated energy system (IES) is linearly modeled for the first time. The output-input relationship within the energy hub is denoted as a linearized matrix, while the upper-level power and natural gas transmission systems are analyzed through piecewise linearization method. A novel sequential linearization method is further proposed to balance computational efficiency and approximation accuracy. Integrated demand response is introduced to smooth out demand curve, considering both internal DR achieved by the optimal energy conversion strategy within energy hubs, and external DR achieved by demand adjustment on the customer’s side. Distributed energy storage like natural gas and heat storage are considered to provide buffer for system operation. The proposed stochastic model is solved by scenario-based optimization with a backward scenario reduction strategy. Numerical tests on a three-hub and seventeen-hub interconnected system that validates the effectiveness of the proposed scheduling model and solution methodology.
Highlights
Energy is the lifeblood of society development
Within each energy hubs (EH), energy inputs are converted into multiple outputs through throughdifferent differentconversion conversion equipment combined power (CHP), equipment likelike combined heatheat power plantplant (CHP), electricelectric boiler boilerand (EB), and heat storage (HS)
Our model aims at satisfying end-users’ energy demand while considering the operation of a a transmission system, terminal EH and integrated demand response strategy
Summary
Energy is the lifeblood of society development. Driven by lower gas price and environmental policy, natural gas consumption of the world’s total energy resource is predicted to be 28% by 2030, while the installed capacity of wind power is rapidly growing [1]. Industrial Revolution”, traditional power system has involved the Energy Internet with the integration of electricity, natural gas, heat, wind, and other forms of energy [2]. Strategy, multiple multiple energy energy carriers, carriers,including includingelectricity, electricity, natural gas, heat, and other forms of energy, energy, are are strongly strongly integrated. This revolution of traditional social pattern helps in promoting the incorporation of renewable energy and the reliability of energy supply. Thanks to the freedom of EH operation, energy hub candifferent choose (EB), heat storage (HS). Thanks to the freedom of EH operation, energy hub can choose different energy conversion strategy and realize fully utilization of resource
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