ABSTRACT

The optimal integration of renewable-based distributed generations (DGs) in distribution system offers several techno-economic and environmental benefits. The demand response (DR) can further augment the benefits associated with DGs. This paper investigates the impact of DR on joint allocation of wind-based and solar-based DGs in distribution system. The integration of renewable-based DGs in coordination with the DR becomes a multi-constraints complex optimization problem. Therefore, in this paper a new methodology is proposed for optimal accommodation of renewable-based DGs in coordination with DR. The optimization problem is formulated as mixed-integer second-order cone programming (MISOCP) problem to minimize energy loss. The solvers which can solve MISOCP problem are commercially available and the optimal solution obtained using such solvers is guaranteed to be global. The proposed framework is investigated on standard 33-bus distribution system under different case studies to evaluate the impact of integrating DR on the allocation of DGs.

抽象的

基于可再生能源的分布式发电（DG）在配电系统中的最佳集成提供了一些技术经济和环境效益。需求响应（DR）可以进一步增加与DG相关的收益。本文研究了灾难恢复对配电系统中基于风能和基于太阳能的DG联合分配的影响。将基于可再生能源的DG与DR集成在一起成为一个多约束复杂的优化问题。因此，在本文中，提出了一种新的方法，可与DR协同优化基于可再生能源的DG。将优化问题表述为混合整数二阶锥规划（MISOCP）问题，以最大程度地减少能量损失。可以解决MISOCP问题的求解器是可商购的，并且保证使用此类求解器获得的最佳解决方案具有全局性。在不同案例研究下，对标准33总线配电系统的框架进行了研究，以评估集成DR对DG分配的影响。