Application of HHO to ED

This program is tailored made to force Harris Hawk Optimization to yeild optimum results.

13 unit system is tested.The main reasons why HHO does not yeild global optimum is that its get traped in local optimal solutions and diversity of the search space get reduced.

✅ Warm-start: cost = 19129.6004, sum(P) = 1799.999999, shape = 1x13

Run 1/15: ⚠️ 18079.761264 (error 115.816564 $)

Run 2/15: ⚠️ 18050.509379 (error 86.564679 $)

Run 3/15: ⚠️ 18129.241526 (error 165.296826 $)

Run 4/15: ⚠️ 17975.796553 (error 11.851853 $)

Run 5/15: ⚠️ 18078.959065 (error 115.014365 $)

Run 6/15: ⚠️ 18116.398124 (error 152.453424 $)

Run 7/15: ⚠️ 18116.394916 (error 152.450216 $)

Run 8/15: ⚠️ 18055.824562 (error 91.879862 $)

Run 9/15: ⚠️ 18113.038553 (error 149.093853 $)

Run 10/15: ⚠️ 18079.924857 (error 115.980157 $)

Run 11/15: ⚠️ 17972.810517 (error 8.865817 $)

Run 12/15: ⚠️ 18116.406178 (error 152.461478 $)

Run 13/15: ⚠️ 18046.245476 (error 82.300776 $)

Run 14/15: ⚠️ 18089.262047 (error 125.317347 $)

Run 15/15: ⚠️ 18081.401774 (error 117.457074 $)

🏆 BEST COST: 17972.810517 $/h (error = 8.865817 $)

Total generation: 1800.00000000 MW

Max |P_i - P*_i| = 99.999900 MW