Research Article
Coordinated Operation of the Constituent Components of a Community Energy System to Maximize Benefits While considering the Network Constraints
Algorithm 1
Main steps of the optimization algorithm.
| (1) | Set IterMax = 5000 (maximum number of iterations) | | (2) | Set Iter = 1 | | (3) | Start | | (4) | Initialize population: Generate S (S = 64) number of X random chromosomes (parents) within initialization constraints (Sections B, E, and F) | | (5) | while Iter < IterMax do | | (6) | Calculate cost for each chromosome in the population: run Algorithm 2 | | (7) | Crossover step: generate children: update population | | (8) | Mutation step: only for children generated (mutation rate 20%): update population | | (9) | Run Algorithm 2 | | (10) | Store minimum cost schedule XIter | | (11) | Iter = Iter + 1; go to 5 {continue to the next iteration} | | (12) | end while | | (13) | Store Xfinal (minimum of all Xiter) | | (14) | End |
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