Wind Power Capacity Planning in Enterprise's Microgrid based on Approximation Expectation of Operation Cost

Electricity cost constitutes an important part of the total energy cost for some energy-intensive enterprises (EIEs). For such EIEs, an effective way to reduce the electricity cost is to integrate the renewable energy, such as wind power, into their energy systems. In this paper, the problem of optimal wind power capacity planning in EIEs with self-generation power plants (SGPP) is considered. A two-level method framework is proposed in which the optimal electricity cost is obtained at the low level while the wind capacity planning decision is updated at the high level. The procedure is then repeated till the optimal capacity is obtained. Especially, a robust optimization-based formulation is established to guarantee the robustness and nonanticipativity of the low-level subproblem. And, the approximated expectation of operation cost is obtained without using the detailed probability distribution information. Numerical testing is performed for a real system and the results suggest the method is effective.