Simultaneous integrated optimal energy flow of electricity, gas, and heat

摘要: In this paper, an integrated approach to optimize electrical, natural gas, and district heating networks simultaneously is studied. Several interdependencies between these infrastructures are considered in details including a nonlinear part-load performance for boilers CHPs besides the valve-point effect generators. A novel based on selecting appropriate set of state-variables problem proposed that eliminates addition any new variable convert irregular equations into regular while optimization still solvable. As large problem, optimal solution cannot be achieved by conventional mathematical techniques. Hence, it better use evolutionary algorithms instead. well-known modified teaching–learning algorithm utilized solve multi-period power flow multi-carrier energy networks. The scheme implemented applied typical network. Results compared with some other heuristic applicability superiority methodology verified.