Abstract
Coordinated planning is an effective method to balance investment costs and benefits in achieving high renewable target under the renewable-driven power system expansion wave. This paper proposes a coordinated planning model to support the efficient achievement of renewable target considering economy of the system by accounting for the interaction among source, grid, and energy storage system. An adaptive two-stage min-max-min robust optimization model is formulated to take into account renewable target as well as the uncertainty associated with renewable production and load demand. To reduce the conservatism of robust optimization, uncertain budget, multiple uncertain sets, and data-driven method are used to design uncertain sets. The resulting model is transformed into a tractable bi-level programming through strong duality theory and big-M method. A customized column-and-constraint generation algorithm is used to solve the bi-level programming. Simulation results presented for the modified IEEE 30-bus test system corroborates the effectiveness of the methodology, which finds siting and sizing of renewable energy sources and energy storage systems as well as transmission expansion schemes. It is capable to provide a flexible planning tool driven by renewable target under a reasonable computational burden.
Highlights
In this paper, we proposed an extend two-stage robust coordinated planning model to support the efficient achievement of renewable target considering economy of the system by accounting for the interaction between source, grid, and energy storage systems (ESS)
We perform a set of numerical experiments on coordinated planning models to illustrate modeling strength and economic outcomes under different uncertainty sets
The growth of the renewable target should be coordinated with the generation expansion planning (GEP), transmission expansion planning (TEP), and ESS plan to properly accommodate renewable energy and possibly reduce investment and operational costs
Summary
B. CONTRIBUTIONS The main contributions of the paper can be summarized as follows: 1) A novel two-stage min-max-min coordinated planning framework for co-optimizing the siting and sizing of RES and ESS as well as transmission expansion to meet renewable target under the uncertainties of RES production and load demand. The data-driven uncertain set modeling process is as Algorithm 1 This method can be used to estimate the power intervals of RES and load at different sample sizes and confidence levels. B. TWO STAGE ROBUST OPTIMIZATION MODEL Coordinated planning considering the uncertainty of RES production power and load demands has two-stage decisionmaking nature.
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