Modeling and optimization of distributed energy network based on power and heat interchanges

Based on mathematical programming, presents a mixed integer linear programming (MILP) model of a distributed energy network, to minimize annual energy cost while guaranteeing resilience of the electricity and heating demand. Through establishing the energy network, realizes the energy interchanges (power and heat) among a cluster of consumers. As an illustrative example, selects a low-carbon community as the research and analyses the optimal operational strategy. In addition, investigates the economics and energy saving of the distributed energy network.