Abstract
In general, Active Distribution Network (ADN) serves as a foundation of demand-side management which enables the involvement of electricity consumption in the dispatch of electricity generation. In order to achieve the economic dispatch of ADN, the potential risk of renewable energy uncertainties need to be taken into consideration during the dispatch. By combining Chance-Constrained Programming (CCP) with Genetic Algorithm (GA), ADN is able to keep a balance between its economic profit and the potential risk. Through proper allocation of ADN's demand-side curtailment and the power exchange between the main power grid, ADN is able to avoid the influence of renewable energy's uncertainties and promote the stability of distribution network as well as the accommodation of renewable energy. The risk-balanced ADN economic dispatch model proves to be an effective solution to the coordination problem between renewable energy uncertainties and the stability requirement of the distribution network.
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