This paper presents the applications of Cuckoo search algorithm (CSA) for solving the problem of optimal power flow for hydrothermal system (OPF-HTS) where IEEE 30-bus test system with both thermal plants and hydropower plants is considered. The problem is first developed in the paper by the combination of optimal power flow (OPF) problem and short-term hydrothermal scheduling (STHTS) problem a...

The carbon emissions trading market and direct power purchases by large consumers are two promising directions of power system development. To trace the carbon emission flow in the power grid, the theory of carbon emission flow is improved by allocating power loss to the load side. Based on the improved carbon emission flow theory, an optimal dispatch model is proposed to optimize the cost of b...

Power system must be operated in such a way that both real and reactive powers are optimized simultaneously. Reactive powers should be optimized to provide better voltage profile as well as to reduce system losses. The four objectives of minimization of fuel cost, minimization of emission, minimization of losses and increasing stability by minimizing system stability index, these are conflictin...

This paper presents an efficient and reliable evolutionary based approach to solve the optimal power flow (OPF) problem in the presence of static synchronous series compensator (SSSC). The firefly algorithm (FFA) is developed by using principle of firefly swarm. The approach has been tested on IEEE 30bus system with and without SSSC. The results show that FFA algorithm with SSSC gives better pe...

Optimal power flow (OPF) problems are focussing on the question how a power transmission network can be operated in the most economic way. The general aim in such scenarios is to optimize generator scheduling in order to meet consumption requirements, transmission constraints and to minimize the overall generation cost and transmission losses. We use a simple lossless DC load flow model for the...

This paper studies physical consequences of unobservable false data injection (FDI) attacks designed only with information inside a sub-network of the power system. The goal of this attack is to overload a chosen target line without being detected via measurements. To overcome the limited information, a multiple linear regression model is developed to learn the relationship between the external...

This paper addresses the problem of reducing CO2 emissions by applying convex optimal power flow model to the combined economic and emission dispatch problem. The large amount of CO2 emissions in the power industry is a major source of global warming effect. An efficient and economic approach to reduce CO2 emissions is to formulate the emission reduction problem as emission dispatch problem and...

This paper studies an electricity market consisting of an independent system operator (ISO) and a group of generators. The goal is to solve the DC optimal power flow (DC-OPF) problem: have the generators collectively meet the power demand while minimizing the aggregate generation cost and respecting line flow limits in the network. The ISO by itself cannot solve the DC-OPF problem as generators...

The paper presents a method for the co-optimization of energy storage systems allocation and line reinforcement in active distribution networks. objective is to guarantee capability an network follow dispatch plan by appropriately coping with high uncertainties loads stochastic renewable generation while ensuring secure operation grid minimizing power losses. proposed formulation relies on modi...

This paper proposes a quasi-optimal power flow (OPF) algorithm for flexible DC traction systems (TPSs). Near-optimal OPF solutions can be solved with high computational efficiency by quasi-OPF. Unlike conventional algorithms, quasi-OPF does not utilize mathematical optimization algorithms but adopts new methodology. First, we adopt modeling method and successfully reveal the physical meaning of...