Robust optimal energy and reactive power management in smart distribution networks: An info‐gap multi‐objective approach

Abstract

Summary Distributed energy resources (DERs) are main components for smart distribution networks (SDNs). Generally, energy and reactive power dispatch scheduling problems are managed separately in SDNs. In this paper, a robust simultaneous active/reactive scheduling framework is presented for SDNs. In order to handle the uncertainties of wind power generation, upstream grid prices, and load demand forecasting in a robust framework, information gap decision theory (IGDT) technique is proposed. The proposed robust model considers the minimization of the energy and reactive power cost, carbon taxes of CO2 emission of all distributed resources along with the cost of implementation of demand response program. Numerical results based on a 22‐bus distribution system validate the effectiveness of the proposed method from determining boundaries of uncertainties viewpoint. The obtained results verify that through the proposed IGDT‐based model, the distribution system operator (DSO) can effectively schedule the all DERs while considering the possibility of problem with a specific uncertainty budget.

Optimal coordination between PV smart inverters and different demand response programs for voltage regulation in distribution system

“…The accessible reactive power at any instant from an SI depends on the active power output of a SI. Hence, it is essential to forecast PV power 8 . Fluctuating PV power is more efficiently estimated if the PV power is predicted accurately.…”

“…In order to mitigate the voltage fluctuation problem due to massive penetration of DER in the network, 2,3 new‐generation smart inverters (SI) are incorporated by DERs to fulfill the ancillary service requirement, at reduced cost without any additional resources 4‐6 . In recent years, it is also observed that demand response (DR) programs are not only acting as a tool to allow customers to participate in the electricity market to improve the economic efficiency and reliability of distribution network 7‐9 but also improve the network voltage. In peak hours kW reduction by consumers have a high effect on change in network voltage due to high R/X ratio of the distribution network 10,11 .…”

A comparative performance study of a closed‐loop boost converter with classical and advanced controllers using simulation and real‐time experimentation

“…Boost converter is a step‐up chopper that provides larger output voltage compared to its input voltage. From prior work, 6‐28 it is observed that several types of linear, nonlinear, optimized, and advanced control approaches are already applied in Boost converters.…”

“…Modeling and advanced control architectures of switching converters which having nonminimum phase problem have been reported by Banerjee et al, Ling et al, Rana et al [20][21][22][23] Robust voltage control with wide parametric variations of switching converters for renewable energy applications are reported in prior works. 24,25 The comparison between different classical and advanced control methods like IMC, SMC for a Boost converter are discussed in Ghosh and Banerjee. 1 Advanced robustness studies, adaptive sliding mode based control and nonlinear dynamics analysis by varying different control parameters in switching converters are reported in recent literatures.…”

“…The stability analysis of switched mode converters with sliding‐mode and fuzzy‐logic based control techniques were discussed by D'Arco et al, 14 Labbe et al 15 and El Khateb et al 16 Online tuning of control parameters, and implementation of advanced control techniques in digital platform are introduced by Lai et al, 17 Ghosh et al, 18 Singh et al 19 for switching converters. Modeling and advanced control architectures of switching converters which having non‐minimum phase problem have been reported by Banerjee et al, Ling et al, Rana et al 20‐23 Robust voltage control with wide parametric variations of switching converters for renewable energy applications are reported in prior works 24,25 . The comparison between different classical and advanced control methods like IMC, SMC for a Boost converter are discussed in Ghosh and Banerjee 1 .…”