Distributed Generation Planning Guidance Through Feasibility and Profit Analysis

• Published in: IEEE transactions on smart grid Vol. 9; no. 5; pp. 5473 - 5475
• Main Authors: Cao, Xiaoyu, Wang, Jianxue, Zeng, Bo
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: chance constrained program; Distributed generation; Electronic equipment tests; Estimation; feasibility and profit bounds; Feasibility studies; Investment; Mathematical model; multi-period stochastic optimal power flow; planning guidance; Power flow; Power generation; Stochastic processes; Substations
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2018.2849852

This letter presents a feasibility and profit-based planning guidance for the regulatory of distributed generation (DG) integration. Different from the conventional planning frameworks, our approach yields a capacity interval enveloped by feasibility and profit bounds for DG installation, instead of a particular capacity scheme. On one hand, the feasibility bound is determined through multi-period stochastic optimal power flow to enforce the feasibility constraints of the distribution network operation subject to the uncertainties of DG output. On the other hand, the profit bound is derived using chance constrained program to guide profitable DG investment under controllable risk level. Numerical tests on IEEE 33-bus distribution system demonstrate the effectiveness of the proposed approach.