Role of energy storage system in integration of renewable energy technologies in active distribution network

Abstract

This chapter explores the role of an energy storage system (ESS) in integration of renewable energy technologies (RET) in active distribution networks (ADN). To do so, a new two-stage coordinated optimization model has been introduced for integrated planning of RET and ESS. In stage 1, optimal allocation of RET and ESS devices has been carried out simultaneously, whereas stage 2 performs optimal scheduling of active and reactive power of RET and BESS including volt/Var control (VVC) devices such as shunt capacitor banks (CBs) and on-load tap changer (OLTC) for active power optimization and voltage regulation. The objective of the proposed methodology is to minimize the overall total investment and operating cost of RET and ESS over planning horizon. Besides, it includes cost of purchased power from grid, cost of energy not served (ENS) and cost of CO2 emission. Meanwhile, to address high-level uncertainties related to renewable energy generation and load demands, a stochastic module has been adopted, which produces a number of scenarios by using Monte Carlo simulation (MCS). Further, K-means clustering method has been adopted 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 proposed hybrid optimization solver, which is performed in MATLAB-GAMS environment. The test results validate the effectiveness of the proposed framework in improving the system efficiency, enhancing the reliability and reducing carbon emission footprint of ADN, compared with the traditional planning schemes. © 2021 Scrivener Publishing LLC. All rights reserved.