Nowadays, due to lack of a strong interconnection between electric power systems within EU, there is a concern about the restricted power exchange. On the other hand, one of the factors which results in necessity of improving the level of power exchange is development of renewable energy sources such as offshore wind farms. Multi-terminal HVDC (MTDC) systems are supposed to be one of the cost-e...

This paper presents a strategy to evaluate the performances of converter stations under optimized operating points hybrid AC-DC power systems with reduced number DC link variables. Compared previous works reported five DC-side control variables (CVs), uniqueness presented optimal flow (OPF) formulation lies within selection only two such as inverter voltage and current in link, apart from conve...

Solving AC-Optimal Power Flow (OPF) problems is an essential task for grid operators to keep the power system safe use cases such as minimization of total generation cost or infeed curtailment from renewable DERs (Distributed Energy Resource). Mathematical solvers are often able solve AC-OPF problem but need significant computation time. Artificial neural networks (ANN) have a good application ...

The optimal power flow (OPF) problem contains many constraints. However, equality constraints and a limited set of inequality encompass sufficient information to determine the feasible space. This article presents hybrid supervised regression-classification learning-based algorithm predict active inactive before solving AC OPF solely based on nodal demand information. proposed is structured usi...

This paper proposes a two-level distributed algorithmic framework for solving the AC optimal power flow (OPF) problem with convergence guarantees. The presence of highly nonconvex constraints in OPF poses significant challenges to algorithms based on alternating direction method multipliers (ADMM). In particular, is not provably guaranteed network optimization problems like OPF. order overcome ...

One potential future for the next generation of smart grids is use decentralized optimization algorithms and secured communications coordinating renewable (e.g., wind/solar), dispatchable devices coal/gas/nuclear generations), demand response, battery & storage facilities, topology optimization. The Alternating Direction Method Multipliers (ADMM) has been widely used in community to address suc...

Optimization algorithms are very important for the Optimal Power Flow (OPF). They could be divided into two classes: traditional local search methods and heuristic global ones. Interior point (IP) algorithm has been known as one of the most prominent and fastest method, but its local exploitation characteristic leads to the fact that it could be easily trapped by local optimum. However, heurist...

Convex relaxation methods have been studied and used extensively to obtain an optimal solution to the optimal power flow (OPF) problem. Meanwhile, convex relaxed power flow equations are also prerequisites for efficiently solving a wide range of problems in power systems including mixed-integer nonlinear programming (MINLP) and distributed optimization. When the exactness of convex relaxations ...