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This paper presents a new approach for optimal allocation of DG and ESS in MGs. Compared with the past-proposed capacity configuration methods. the advantage of the method presented in this paper is taking into account the dynamic capacity adjustment of DG and ESS. which is suitable for the coordinate optimisation between capacity configuration and short-term scheduling of MG systems. An interesting feature of the proposed approach is that the dynamic capacity adjustment algorithm is incorporated in the MRCGA framework. therefore the capacity adjustment in the loop iteration is directly achieved by means of energy capacity coefficients that can be obtained from the results of a single power flow calculation. The energy storage equality constraint of ESS is also resolved by fitness function. The strategies for handling constraints are devised while preserving the dynamic process of the MRCGA. The computational simulation results show that optimal allocation of DG and ESS can be achieved according to the MRCGA. and total costs during the system operational lifetime period are minimised. It can be reasonably expected that the methods proposed in the present work may provide useful indications on optimal allocation for MG system compatible with a large penetration of renewable distributed resources.
