Journal
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Volume 105, Issue -, Pages 814-822Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2018.09.032
Keywords
Active distribution system; Second-order cone programming (SOCP); Column and constraint generation (CCG); Renewable uncertainties; Robust optimization
Categories
Funding
- National Key R&D Program of China [2016YFB0900400]
- Sciences and Technology Project of State Grid Corporation of China [PD71-17-014]
- Fundamental Research Funds for the Central Universities [YJ201750]
- National Science Foundation of China [51807125]
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The distribution companies will face huge challenges in upgrading the existing network due to the uncertain integration of distributed renewable generations. In this paper, we propose a bi-level robust planning model for active management elements (AMEs) including on-load tap changer (OLTC), electrical storage system (ESS), capacitor bank (CB), and static VAR compensation (SVC) in order to accommodate uncertain development of wind power and photovoltaic power. The planning problem is constructed in two levels which are investment level and operation level. To overcome the poor convergence of the bi-level model, variables in both investment level and operation level are associated together. After equivalent transformation for non-linear terms the planning model can be formulated as a mixed integer second order conic programming (MISOCP) problem by some special means such as second order conic relaxation (SOCR) and big-M approach. We address the renewable uncertainties in four different seasons by a typical budget uncertainty set with adjustable budget. Then a two-stage robust mathematical model is proposed to decide a robust AME deployment scheme and solved by column and constraint generation (CCG) algorithm.
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