نتایج جستجو برای: transmission expansion planning tep
تعداد نتایج: 578708 فیلتر نتایج به سال:
با توجه به رشد روزافزون تقاضای انرژی الکتریکی، لزوم برنامه ریزی توسعه انتقال (Transmission Expansion Planning=TEP) امری اجتناب ناپذیر میباشد. برنامه توسعه انتقال به معیارهای مختلفی وابسته است. در این مقاله، ابتدا به بررسی معیارهای موثر در برنامهریزی توسعه انتقال پرداخته شده وسپس یک مدل برای TEP پیشنهاد گردیده است. در این مدل با استفاده روش تحلیل سلسله مراتبی (Analytical Hierarchy Process=AHP)...
با توجه به رشد روزافزون تقاضای انرژی الکتریکی، لزوم برنامه ریزی توسعه انتقال (transmission expansion planning=tep) امری اجتناب ناپذیر می باشد. برنامه توسعه انتقال به معیارهای مختلفی وابسته است. در این مقاله، ابتدا به بررسی معیارهای موثر در برنامه ریزی توسعه انتقال پرداخته شده وسپس یک مدل برای tep پیشنهاد گردیده است. در این مدل با استفاده روش تحلیل سلسله مراتبی (analytical hierarchy process=ahp)...
Solar PhotoVoltaics (PV) integration into the electricity grids significantly increases complexity of Transmission Expansion Planning (TEP) because solar PV power generation is uncertain and difficult to predict. Therefore, this paper proposes optimal planning method for transmission expansion combined with generation. The problem solved by using Long Short-Term Memory (LSTM) forecasting radiat...
network expansion studies normally offer new power lines, new substations or expansion of existing substations. they are generally proposed based on technical requirements, but financial restrictions are not considered. because of financial restrictions, ranking of network expansion plans is required. in this paper an algorithm for such ranking, based on technical and financial view points and ...
As the share of wind energy in power system increases, consideration of these resources in power system planning, particularly in Transmission Expansion Planning (TEP) is becoming more and more important. In this paper, a Probabilistic Multi-Objective Transmission Expansion Planning (PMO-TEP) is presented to find the optimal node for connecting the large scale distant wind farm to the network f...
Within the electric power literature the transmission expansion planning problem (TEP) refers to the problem of how to upgrade an electric power network to meet future demands. As this problem is a complex, non-linear, and non-convex optimization problem, researchers have traditionally focused on approximate models of power flows. This research paper deals with various planning tools for TEP ba...
A new probabilistic methodology for transmission expansion planning (TEP) that does not require a priori specification of new/additional transmission capacities and uses the concept of social welfare has been proposed. Two new concepts have been introduced in this paper: (i) roulette wheel methodology has been used to calculate the capacity of new transmission lines and (ii) load flow analysis ...
Transmission expansion planning (TEP) is an important part of power system planning. In TEP, optimal number new transmission lines and their installation time place are determined in economic way. Uncertainties load demand, plants, fuel price as well voltage level substations influence TEP solutions effectively. Therefore, this paper, a scenario based-model proposed for evaluating the impact on...
This paper proposes an efficient and novel method for transmission expansion planning in regulated environment of power systems. The method is based on combination of two algorithms such as special genetic algorithm (GA) and constructive heuristic algorithm. The proposed GA has its own special characteristics that make it better than other metahuristic methods in transmission expansion planning...
in this paper, first, a new criterion, titled “surplus percent of the customers” is defined for static transmission expansion planning in restructured power systems. then by a simple example, the new criterion is compared with some already presented market-based criteria and it is shown that the new criterion can realistically evaluate the transmission network expansion from the market view. in...
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