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To face the massive integration of Distributed Renewable Energy Sources (DRES), Distribution System Operators (DSO) need to evolve, especially in the operational planning of their networks. In this context, this paper presents a formulation for the Active Distribution Network (ADN) operational planning (OP) problem employing a Second Order Cone (SOC) relaxation of the Optimal Power Flow (OPF). For...
This paper presents an efficient approach for computing medium-term market equilibrium models under non-perfect competition, with a focus on multi-area systems, with multiple market splitting options. In accordance to the new policies and regulations aimed at creation of the Internal Electricity Market (IEM), Europe is evolving towards an integration of the electricity markets under a unified framework...
This paper presents different new formulations of dynamic optimal power flow for power feed-in curtailment of RES that are applicable in distribution grid planning. Therefore, a method for dynamic curtailment is presented using AC distribution factors and afterwards optimized using linear programming. The optimal power flow formulations minimize the annual curtailed energy under the boundary condition...
This paper presents a proposal aimed at the initialization of the multimodal optimization process to solve the problem of static expansion planning of electric power transmission systems. In order to, the proposed methodology uses a constructive heuristic algorithm based on an indice, in which the expansion decisions are relaxed and represented through the hyperbolic tangent function. The electric...
This paper proposes a planning approach for distributed generation (DG) and capacitor in an unbalanced distribution system. The objective function of this planning includes power loss. A cuckoo search algorithm based optimization technique is utilized to obtain the optimal location and ratings of DG and capacitor. A forward-backward sweep based three-phase load flow algorithm is used to get the load...
This paper presents a method for the linearization of the non-linear power flow equations, which can be used in mixed integer linear optimizations. The power flow equations are linearized around an operating point using the Taylor approximation. The linearization implies an approximation error, which can be reduced iteratively by modifying the operating point. In addition to existing approaches, controllable...
Dynamic optimal power flow (DOPF) models are needed to optimize the operation of a power system with energy storage systems (ESSs) over an extended planning horizon. The optimal storage level at the end of each planning horizon depends on the possible realization of uncertainties in future planning horizons. However, most DOPF models simply require that the storage levels at the end and at the beginning...
This paper presents a power management strategy for islanded microgrids. The proposed strategy utilizes the MultiAgent System (MAS) to perform the required tasks. The strategy is divided into two stages. The first stage is an operational planning stage which aims to optimize the operation of the microgrid in the islanded mode. This is achieved by performing Optimal Power Flow (OPF) periodically in...
In this paper a day-ahead operational planning methodology, for deciding how much wind power to curtail and where, is presented in order to support the wind power curtailment decision-making by system operators under scenarios of network bottlenecks. The Evolutionary Particle Swarm Optimization algorithm is used to provide robust wind power curtailment solutions at minimum cost. The methodology is...
The current flow-based capacity calculation methodology applied in the European electricity market forces the TSOs to re-think their concepts and methodologies for network planning and investment justification. Until now, these methods have been based on methods for de-coupling of TSOs zones, based on cross-border bilateral exchanges, with reduced complexity. The main instrument of de-coupled planning...
In this paper, a stochastic optimal power flow is developed to solve the reactive power planning (RPP) problem while dealing with uncertainties such as intermittent power generation and loads. The RPP problem is formulated as a mixed integer non-linear problem (MINLP) which is a hard problem to solve. Therefore, Benders decomposition is used in order to get feasible solutions. The uncertainty sources...
In developing countries the power infrastructure is under extreme stress owing to development activities. Necessary power infra-structure has to be raised to meet the growing demand for power. So, planning a transmission network is very essential to maintain the crucial link in the power systems. The primary objective of the paper is to develop a method for Transmission Expansion Planning (TEP) that...
A new methodology for optimal development of distribution networks with low carbon technologies is proposed in this paper. The complete planning model is developed as a two-stage optimization process, where the first stage deals with the investment problem and the second stage focuses on the operational aspects. The novelty of the proposed investment model is explicit incorporation of network security...
Storage systems represent an important instrument to increase the renewable electricity generation, in particular in distribution networks. However, there are still many issues due to cost effectiveness of this solution, but also related to the lack of experience on the management of these devices and on their effects on the distribution network. One particular issue concerns the correlation between...
The integration of a high penetration of intermittent distributed generation (DG) poses challenges to the planning and operation of the grid. In order to increase the acceptable capacity of DG, this paper researches on the sizing of DG based on active operation. After the analysis of several scenarios, a technical framework of secondary voltage control system is set up. It coordinates day-ahead control...
The paper is focusing on dynamic transmission network expansion planning (TNEP). The TNEP problem has been approached from the retrospective point of view. To achieve this goal, the authors are developing two software-tools in Matlab environment. Power flow computing is performed using conventional methods. Optimal power flow and network expansion are performed using artificial intelligence methods...
Transmission expansion planning has become a complicated process in the recent era. The fast growth of the transmission networks and the deregulation has introduced more factors to be considered in transmission expansion planning to the transmission network planners. The main goal of this process is to locate the additional transmission lines that must be added to meet the forecasted load in the system...
The renewable sources' influence regarding the distribution network expansion planning is tackled. The network expansion is discussed in two cases: with and without renewable sources. The obtained expansion solutions are analyzed and a final one is proposed by the authors. To achieve this goal network reconfiguration and N−1 contingecies are performed. The goal is to supply all the consumers for each...
The renewable sources' influence regarding the distribution network expansion planning is tackled. The network expansion is discussed in two cases: with and without renewable sources. The obtained expansion solutions are analyzed and a final one is proposed by the authors. To achieve this goal network reconfiguration and N−1 contingecies are performed. The goal is to supply all the consumers for each...
Ultra high voltage (UHV) AC system operates at 1000kV or above and is characterised with having a large transmission capacity (5000MW or above per single circuit) and long transmission distances. It is capable of producing over 4 times more reactive power gains than a conventional 500kV transmission line, and also absorbing a significant amount of reactive power when power flow across the line is...
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