Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Optimal proportion of wind and PV capacity in provincial power systems based on bilevel optimization algorithm under low-carbon economy
Author:
Affiliation:

1. College of Energy and Electrical Engineering, Hohai University, Nanjing, 211100, China 2. College of Electrical Engineering, Nantong University, Nantong, 226019, China 3. China Electrical Power Research Institute, Beijing, 100192, China 4. Suzhou Power Supply Company, State Grid Corporation of China, Suzhou, 215004, China

Fund Project:

the researchand application of evaluation of priority dispatching of wind/PVgeneration in multi-levels, State Grid Corporation of China (No.NY71-14-038), Jiangsu Provincial Graduate Education InnovationProject (No. KYLX_0431), the Fundamental Research Funds for theCentral Universities (No. 2014B33314) and National Nature ScienceFoundation of China (No. 51407097).

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    Abstract:

    In order to boost contributions of power systems to a low-carbon economy, the installed capacity ofrenewable power generation, such as wind and photovoltaic (PV) power generation should be well planned. Abilevel formulation is presented to optimize the proportion of wind and PV capacity in provincial power systems, in which, carbon emissions of generator units and features of renewable resources are taken into account. In the lower-level formulation, a time-sequence production simulation(TSPS) model that is suitable for actual power system has been adopted. In order to maximize benefits of energy conservation and emissions reduction resulting from renewable power generation, the commercial software called General Algebraic Modeling System (GAMS) is employed to optimize the annual operation of the power system. In the upper-level formulation, the optimal pattern search(OPS) algorithm is utilized to optimize the proportion of wind and PV capacity. The objective of the upper-level formulation is to maximize benefits of energy conservation and carbon emissions reductions optimized in the lower-level problem. Simulation results in practical provincial power systems validate the proposed model and corresponding solving algorithms. The optimization results can provide support to policy makers to make the polices related to renewable energy.

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History
  • Online: May 22,2015