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Appl. Sci. 2018, 8(10), 1888; https://doi.org/10.3390/app8101888

Multiobjective Scheduling of an Active Distribution Network Based on Coordinated Optimization of Source Network Load

1
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
2
State Grid Tianjin Electric Power Company, Tianjin 300010, China
3
State Grid Economic and Technological Research Institute Co. Ltd., Beijing 102209, China
*
Author to whom correspondence should be addressed.
Received: 11 September 2018 / Revised: 28 September 2018 / Accepted: 9 October 2018 / Published: 11 October 2018
(This article belongs to the Special Issue Distribution Power Systems)
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Abstract

With the development of active distribution networks, the means of controlling such networks are becoming more abundant, and simultaneously, due to the intermittency of renewable energy and the randomness of the demand-side load, the operating uncertainty is becoming serious. To solve the problem of source–network–load coordination scheduling, a multiobjective scheduling model for an active distribution network (ADN) is proposed in this paper. The operating cost, renewable energy utilization rate, and user satisfaction are considered as the optimization objectives, and the distributed generation (DG) output power, switch number, and incentive price for the responsive load are set as the decision variables. Then the probabilistic power flow based on Monte Carlo sampling and the chance-constrained programming are used to deal with the uncertainty of the ADN. Moreover, the reference point–based many-objective evolutionary algorithm (NSGA3) is used to solve this nonlinear, multiperiod, and multiobjective optimization problem. The effectiveness of the proposed method is verified in the modified IEEE 33-bus distribution system. The results show that the proposed scheduling method can effectively improve the system status. View Full-Text
Keywords: active distribution network; distributed generation; energy storage systems; network reconfiguration; demand-side management; multiobjective optimization active distribution network; distributed generation; energy storage systems; network reconfiguration; demand-side management; multiobjective optimization
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Yong, C.; Kong, X.; Chen, Y.; E, Z.; Cui, K.; Wang, X. Multiobjective Scheduling of an Active Distribution Network Based on Coordinated Optimization of Source Network Load. Appl. Sci. 2018, 8, 1888.

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