Optimization;
Uncertainty;
Robustness;
Generators;
Wind farms;
Power systems;
Convex functions;
Distributed optimization;
distributionally robust optimization;
optimal power exchange interval;
reserve capacity support;
transmission-distribution systems;
ECONOMIC-DISPATCH;
NETWORKED MICROGRIDS;
UNIT COMMITMENT;
POWER DISPATCH;
OPTIMIZATION;
GENERATION;
OPERATION;
FRAMEWORK;
D O I:
10.1109/TPWRS.2020.3024673
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
080906 [电磁信息功能材料与结构];
082806 [农业信息与电气工程];
摘要:
This paper proposes a new distributed dispatch scheme to realize efficient coordinated real-time dispatch of the coupled transmission grid and active distribution grids (ADGs). In the proposed scheme, on the one hand, the concept of optimal power exchange interval is introduced to coordinate the transmission grid and ADGs so that the reserve capacity support from ADGs can be incorporated in the dispatch optimization of the transmission grid. On the other hand, uncertainties of renewable distributions are considered to ensure the robustness of dispatch decisions. With the analytical target cascading (ATC) method, the centralized distributionally robust dispatch model for the integrated transmission-distribution system is decoupled, leading to a number of independent small local optimization problems for the transmission grid and ADGs. Meanwhile, the diagonal quadratic approximation is adopted to develop an iterative coordination strategy where all local optimization problems are solved in a parallel manner, increasing the computational efficiency. By using the constrained cost variable technique (CCV) and a new affine policy, the original non-convex dispatch model is reformulated as a linear optimization problem, which ensures the convergence of the iterative process and further reduces the computational burden. Case studies on three test systems verify the effectiveness and efficiency of the proposed scheme.
机构:
Univ Pittsburgh, Dept Ind Engn, Pittsburgh, PA 15106 USA
Univ Pittsburgh, Dept Elect & Comp Engn, Pittsburgh, PA 15106 USAXi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
机构:
Univ Pittsburgh, Dept Ind Engn, Pittsburgh, PA 15106 USA
Univ Pittsburgh, Dept Elect & Comp Engn, Pittsburgh, PA 15106 USAXi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China