Portfolios of Real Options and Capacity Expansion in Transmission Network Expansion Planning

نویسندگان

  • Manuel V. Loureiro
  • Paulo J. Pereira
  • João Claro
چکیده

In network investments, much of the real options value may reside “in” identifying the proper configuration to develop, in terms of the timing and sizing of its deployment. A longer-term perspective, with a treatment of uncertainty that moves beyond simply increasing deterministic specifications, has the potential to improve the design of networked infrastructures, such as power transmission networks. In this paper we present a new model for Transmission Network Expansion Planning, with uncertainty in demand, which considers investments in transmission lines as a portfolio of real options, and use this model to study the impact of uncertainty and demand correlation in basic network building blocks. Our analysis confirms the value of network sources of operational flexibility in a multi-stage setting. The results also show that uncertainty increases the network value in a non-monotonous way, due to the load curtailment costs and discrete capacity expansions, and higher demand correlations do not necessarily lead to reductions in the network value.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Impact of Demand Response Technique on Hybrid Transmission expansion planning and Reactive Power planning

In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new i...

متن کامل

Security-Based Co-Expansion Planning of Gas and Electricity Networks Considering Demand Response

Coordinated expansion planning of power plants has always attracted the attention of power industry planners to arrive at the optimal mix that assures adequacy of energy supply. Here, we model the coordinates for expansion of electricity and gas networks while considering technical constraints, in order to minimize the total cost of investment and operation of electricity and gas networks for a...

متن کامل

Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm

In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future load demand. The large number of design variables and combination of discr...

متن کامل

Improved Binary Particle Swarm Optimization Based TNEP Considering Network Losses, Voltage Level, and Uncertainty in Demand

Transmission network expansion planning (TNEP) is an important component of power system planning. Itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. Different methods have been proposed for the solution of the static transmissionnetwork expansion planning (STNEP) problem till now. But in all of them, STNEP pr...

متن کامل

Stochastic Security Constrained Transmission and Battery Expansion Planning In Integrated Gas-Electricity Systems Considering High Penetration of Renewable Resources..

In this study, a new model is proposed to solve the problem of transmission and battery expansion planning considering integrated electricity and gas systems. The presented model is a bi-level stochastic planning model, where transmission and battery expansion planning modeling is done on one level, and gas network modeling is done on the other level. Here, the impact of the high penetration of...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012