Abstract

This article investigates the coordinated allocation of battery energy storage system (BESS) and soft open point (SOP) in high photovoltaic penetrated distribution network incorporating demand response (DR), and conservation voltage reduction (CVR) schemes. To do so, a new two-stage coordinated optimization framework has been developed for integrated planning of BESS and SOP considering DR and CVR schemes. In stage 1, optimal location and size determination of BESS and SOP devices has been carried out simultaneously. Whereas, stage 2 performs the optimal operation of BESS and SOP corresponding to CVR and DR schemes. The objective of the proposed methodology is to minimize the total investment and operating cost of BESS and SOP devices. Besides, it includes the cost of purchased power from substation, cost of energy not served and cost of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{CO}_2$</tex-math></inline-formula> emission. Meanwhile, to address high-level uncertainties related to PV generation and load demands, a stochastic module has been adopted, which produces several scenarios by Monte Carlo simulation at each hour. Furthermore, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> -means clustering technique has been employed to determine the reduced scenarios with high quality and diversity. The proposed framework has been implemented on IEEE 33-bus distribution system for different cases and solved by using hybrid optimization solver. The test results demonstrate the effectiveness of proposed framework in improving the system efficiency, enhancing the flexibility, reliability and reducing carbon emission footprint of distribution systems.

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