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- Title
A Stochastic Model Predictive Control Approach for Joint Operational Scheduling and Hourly Reconfiguration of Distribution Systems.
- Authors
Esmaeili, Saeid; Anvari-Moghaddam, Amjad; Jadid, Shahram; Guerrero, Josep M.
- Abstract
Due to the recent developments in the practical implementation of remotely controlled switches (RCSs) in the smart distribution system infrastructure, distribution system operators face operational challenges in the hourly reconfigurable environment. This paper develops a stochastic Model Predictive Control (MPC) framework for operational scheduling of distribution systems with dynamic and adaptive hourly reconfiguration. The effect of coordinated integration of energy storage systems and demand response programs through hourly reconfiguration on the total costs (including cost of total loss, switching cost, cost of bilateral contract with power generation owners and responsive loads, and cost of exchanging power with the wholesale market) is investigated. A novel Switching Index (SI) based on the RCS ages and critical points in the network along with the maximum number of switching actions is introduced. Due to nonlinear nature of the problem and several existing binary variables, it is basically considered as a Mixed Integer Non-Linear Programming (MINLP) problem, which is transformed into a Mixed Integer Linear Programming (MILP) problem. The satisfactory performance of the proposed model is demonstrated through its application on a modified IEEE 33-bus distribution system.
- Subjects
SMART power grids; PREDICTIVE control systems; ENERGY storage; ENERGY demand management; MIXED integer linear programming
- Publication
Energies (19961073), 2018, Vol 11, Issue 7, p1884
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en11071884