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相关论文: A Probabilistic Transmission Expansion Planning Me…

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This paper presents a high-voltage test system designed specifically for transmission expansion planning (TEP) and explores multiple TEP studies using this test system. The network incorporates long transmission lines, lines are accurately…

系统与控制 · 电气工程与系统科学 2026-04-21 Bhuban Dhamala , Mona Ghassemi

Power System Resource Planning is the recurrent process of studying and determining what facilities and procedures should be provided to satisfy and promote appropriate future demands for electricity. The electric power system as planned…

系统与控制 · 电气工程与系统科学 2024-01-24 Sohom Datta

Transmission Expansion Planning (TEP) is the process of optimizing the development and upgrade of the power grid to ensure reliable, efficient, and cost-effective electricity delivery while addressing grid constraints. To support growing…

系统与控制 · 电气工程与系统科学 2024-12-06 Kevin Wu , Rabab Haider , Pascal Van Hentenryck

Recent breakthroughs in Transmission Network Expansion Planning (TNEP) have demonstrated that the use of robust optimization, as opposed to stochastic programming methods, renders the expansion planning problem considering uncertainties…

计算工程、金融与科学 · 计算机科学 2017-12-13 R. García-Bertrand , R. Mínguez

Transmission expansion planning (TEP) is critical for the power grid to meet fast growing demand in the future. Traditional TEP model does not utilize the flexibility in the transmission network that is considered as static assets. However,…

最优化与控制 · 数学 2019-12-02 Xingpeng Li , Qianxue Xia

Transmission expansion planning (TEP) plays a critical role in ensuring power system reliability and facilitating the integration of renewable energy resources. However, this process requires planners to constantly deal with significant…

系统与控制 · 电气工程与系统科学 2026-04-21 Victor Schmitt , Farzaneh Pourahmadi , Angela Flores-Quiroz , Pablo Apablaza , Pierluigi Mancarella

Consideration of generation, load and network uncertainties in modern transmission network expansion planning (TNEP) is gaining interest due to large-scale integration of renewable energy sources with the existing grid. However, it is a…

最优化与控制 · 数学 2019-08-05 Soumya Das , Ashu Verma , P. R. Bijwe

Restructuring of the power market introduced demand uncertainty in transmission expansion planning (TEP), which in turn also requires an accurate estimation of demand not served (DNS). Unfortunately, the graph theory based minimum-cut…

其他计算机科学 · 计算机科学 2011-05-18 Neeraj Gupta , Rajiv Shekhar , Prem Kumar Kalra

In electricity transmission networks, energy storage systems (ESS) provide a means of upgrade deferral by smoothing supply and matching demand. We develop a mixed integer programming (MIP) extension to the transmission network expansion…

最优化与控制 · 数学 2014-12-24 Cameron A. G. MacRae , Melih Ozlen , Andreas T. Ernst

In transmission expansion planning, situations can arise in which an expansion plan that is optimal for the system as a whole is detrimental to a specific country in terms of its expected economic welfare. If this country is one of the…

In transmission expansion planning (TEP), network planners make long-term investment decisions while anticipating market clearing outcomes that are increasingly affected by renewable generation uncertainty. Additionally, market…

最优化与控制 · 数学 2025-05-19 Yuxin Xia , Yihong Zhou , Iacopo Savelli , Thomas Morstyn

The common linear optimal power flow (LOPF) formulation that underlies most transmission expansion planning (TEP) formulations uses bus voltage angles as auxiliary optimization variables to describe Kirchhoff's voltage law. As well as…

系统与控制 · 电气工程与系统科学 2020-09-25 Fabian Neumann , Tom Brown

The rapid integration of Renewable Energy Sources (RESs) strengthens the need for a power network that can robustly handle the system's uncertain scenarios. Thus, this paper proposes the first nonlinear novel dual based bi-level approach…

系统与控制 · 电气工程与系统科学 2021-11-11 P. Naga Yasasvi , Abheejeet Mohapatra , Suresh Chandra Srivastava

Modern transmission network expansion planning (TNEP) is carried out with AC network model, which is able to handle voltage and voltage stability constraints. However, such a model requires optimization with iterative AC power flow model,…

最优化与控制 · 数学 2019-04-10 Soumya Das , Ashu Verma , P. R. Bijwe

Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimization of investment in…

最优化与控制 · 数学 2020-09-25 Fabian Neumann , Tom Brown

The necessary decarbonization efforts in energy sectors entail the integration of flexibility assets, as well as increased levels of uncertainty for the planning and operation of power systems. To cope with this in a cost-effective manner,…

系统与控制 · 电气工程与系统科学 2024-09-25 Stefan Borozan , Spyros Giannelos , Paola Falugi , Alexandre Moreira , Goran Strbac

In this paper, the differences between an integrated and hierarchical generation and transmission expansion planning approaches are first described. Then, the hierarchical approach is described in detail. In general terms, in this scheme…

Transmission Expansion Planning (TEP) optimizes power grid upgrades and investments to ensure reliable, efficient, and cost-effective electricity delivery while addressing grid constraints. To support growing demand and renewable energy…

系统与控制 · 电气工程与系统科学 2026-05-19 Kevin Wu , Rabab Haider , Pascal Van Hentenryck

With the integration of Renewable Energy Sources (RESs), the power network must be robust to handle the system's uncertain scenarios. DC Transmission Expansion Planning (TEP) plans are generally not feasible for the AC network. A first…

系统与控制 · 电气工程与系统科学 2021-11-11 P. Naga Yasasvi , Abheejeet Mohapatra , Suresh Chandra Srivastava

This paper investigates a wireless-powered cooperative network (WPCN) consisting of one source-destination pair and multiple decode-and-forward (DF) relays. We develop an energy threshold based multi-relay selection (ETMRS) scheme for the…

信息论 · 计算机科学 2017-10-10 Yifan Gu , He Chen , Yonghui Li , Branka Vucetic
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