Uncertainties are the most significant challenges in smart power system, necessitating use of precise techniques to deal with them properly. Such problems could be effectively solved using a probabilistic optimization strategy. It is further divided into stochastic, robust, distributionally and chance-constrained optimizations. The topics systems covered this review paper. In order account for ...

To address the AC network-constrained unit commitment problem, we propose an effective three-step solution approach. We first solve a DC (mixed-integer linear) approximation of original problem to identify initial and set transmission lines likely be congested. Secondly, with linear as starting point, mixed-integer second-order conic relaxation using active strategy regarding constraints. Final...

This paper focuses on the state-of-the-art of unit commitment (UC) and economic dispatch (ED) algorithms suitable for Italian electricity market. In view spread renewable energy systems (RES), desired UC algorithm should be able to properly consider uncertainty affecting key input variables into formulation problem, as well different capabilities dispatched power plants provide ancillary servic...

Power network operators have recently faced new challenges due to an increase in the penetration of non-dispatchable renewable energy sources power grids. Incorporating emerging flexible resources like electric vehicle parking lots (EVPLs) and demand response programs (DRPs) into systems, could be a good solution deal with inherent uncertainties imposed by these grid. EVPLs can improve system o...

This paper presents an algorithm based on inter-solutions of having scheduled electricity generation resources and the fuzzy logic as a sublimation tool of outcomes obtained from the schedule inter-solutions. The goal of the algorithm is to bridge the conflicts between minimal cost and other aspects of generation. In the past, the optimal scheduling of electricity generation resources has been ...

In this second portion of a two-part analysis of a scalable computational approach to stochastic unit commitment, we focus on solving stochastic mixed-integer programs in tractable run-times. Our solution technique is based on Rockafellar and Wets’ progressive hedging algorithm, a scenario-based decomposition strategy for solving stochastic programs. To achieve high-quality solutions in tractab...

An algorithm to solve security constrained unit commitment problem (UCP) with both operational and power flow constraints (PFC) have been proposed to plan a secure and economical hourly generation schedule. This proposed algorithm introduces an efficient unit commitment (UC) approach with PFC that obtains the minimum system operating cost satisfying both unit and network constraints when contin...

as renewable energy increasingly penetrates into power grid systems, new challenges arise for system operators to keep the systems reliable under uncertain circumstances, while ensuring high utilization of renewable energy. this paper presents unit commitment (uc) which takes into account the volatility of wind power generation. the uc problem is solved with the forecasted intermittent wind pow...