Stochastic reconfiguration of distribution system considering stability, correlated loads and renewable energy based DGs with varying penetration

This paper presents a probabilistic stability constrained optimal configuration model to simultaneously consider uncertainties with correlation and small signal stability for distribution system in the presence of photovoltaic based distributed generation (PV-DG) and small hydro power plant based DG (SHPP-DG). The objective is to minimize real power loss, number of switching operations and maximize the voltage stability margin while maintaining the constraints of bus voltage, branch current carrying capacity, and radiality of distribution system (DS) and preserving the small signal stability of the DS. Further, the impact of PV penetration on the small signal stability constrained distribution system reconfiguration (DSR) is assessed. It is also shown that the stochastic variation of PV-DG can cause system instability. With increasing level of PV-DG penetration, the probability of the system becoming unstable increases. For solving this constrained, multi-objective optimization problem, a knee point driven evolutionary algorithm along with three point estimation (KnEA-PE) method is applied. The feasibility and effectiveness of this method has been tested on IEEE 33 bus, IEEE 69 bus and IEEE 119 bus radial distribution systems. (c) 2020 Elsevier Ltd. All rights reserved.