Comprehensive Optimal Allocation of Intermittent Distributed Generation and Reactive Power Compensation Based on Bilevel Planning

The optimal allocation of current distributed generations(DG) such as distributed wind generation(DWG)and photovoltaic(PV) is usually single-object oriented, as a result, it is hard to reflect overall benefits of intermittent DGs`optimal allocation. And it is also inappropriate to use fixed variables and constraints to handle the uncertainty and fluctuation of DGs` power output. Aiming to solve the problems, based on the calculation of probabilistic power flow,a bilevel optimal allocation model was established with opportunity-constrained planning method to carry out comprehensive optimal allocation of intermittent DGs and compensation capacitors. And genetic algorithm with elitist strategy was used for the optimal solution. Results of the example demonstrated that optimized operational benefit of compensation capacitors would affect the optimal allocation of DGs and compensation capacitors, and it would be remarkably influenced by compensation capacitors' capacity, maximum daily allowable number of switching operations, seasonal change of the expectation of DGs' output and load power. The optimal scheme of the bilevel planning model considers planning economic benefits of compensation capacitors and DGs, and the optimized operational benefit of compensation capacitors while improving the system voltage quality, thus achieving comprehensive optima of economic benefit and voltage quality. The results of case studies verified the validity and rationality of the model.