Stochastic Distribution Network Planning with Uncertain Renewable Energy Based on Credibility Assessment
Abstract
Due to the uncertainty of renewable energy and complex construction of distribution network, the wind-solar power integrated distribution network is one of the most difficult optimization problems in operational planning of power system. This paper proposes a risk-based credibility assessment (RbCA) model for stochastic distribution network planning (SDNP) with wind-solar power penetration to obtain the optimal planning from the perspective of risk aversion. In the proposed model, the uncertain wind power and solar power are designed as credibility interval variables, and the operation risk of SDNP is measured by the credibility assessment of wind-solar power. In addition, in consideration that the SDNP is a constrained non-convex and multi-modal optimization problem, and the particle swarm optimization (PSO) is easily trapped into premature convergence in dealing with this kind of problems, a dynamic PSO with escaping prey (DPSOEP) has been developed to increase the diversity of the population and then obtain the optimal planning of distribution network. Simulation results obtained based on the modified IEEE 33 nodes distribution system show that the proposed model and algorithm are reasonable and effectiveness in dealing with the SDNP with uncertain wind-solar power penetration, considering the integration of various inequality and equality constraints.
- Publication:
-
IOP Conference Series: Earth and Environmental Science
- Pub Date:
- January 2019
- DOI:
- 10.1088/1755-1315/223/1/012010
- Bibcode:
- 2019E&ES..223a2010Z