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A Linearized Optimization Method for Distributed Generation Planning Studies

Utilizing renewable energy sources as distributed generation (DG) reduces the pollutant emissions of conventional fossil-fueled generation. Optimized planning is required to prevent serious technical issues resulting from poor implementation. This paper presents an optimization scheme which simplifies the problem by using linearization. Power flow equations are linearized at steady-state operating points, and sensitivity coefficients are calculated for constraints such as voltage and distribution system flow limits. Linear programming (LP) finds the optimal capacities of DG units. Compared to commonly used artificial intelligence (AI) techniques which are computationally expensive, the proposed method is more efficient for finding the optimal capacity of DGs in large distribution systems. The proposed framework is appropriate for planning applications in which efficiency and accuracy are prioritized.