Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …

Security-constrained unit commitment (SCUC) has been extensively studied as a key
decision-making tool to determine optimal power generation schedules in the operation of …

Large-scale utilization of electric vehicles (EVs) affects the total electricity demand
considerably. Demand forecast is usually designed for the seasonally changing load …

This paper reviews distributed/decentralized algorithms to solve the optimal power flow
(OPF) problem in electric power systems. Six decomposition coordination algorithms are …

Surplus electricity energy from renewable sources can be efficiently utilized by converting it
into other forms of energy in the integrated energy system (IES). Local electricity energy …

The fields of power system engineering and operations research are growing rapidly and
becoming increasingly entwined. This survey aims to strengthen the connections between …

This paper focuses on the distributionally robust dispatch for integrated transmission-
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …

The high penetration of variable renewable energy sources (RESs) has greatly increased
the difficulty in power system scheduling and operation. To fully utilize the complementary …

Independent system operators (ISO) and regional transmission organizations (RTO) adopt
centralized optimization approaches for the optimal operation of power systems, which …

This paper proposes a novel decentralized-distributed (DD) adaptive robust optimization
(ARO) method to address the efficient distributed scheduling of multi-microgrid systems …