Optimal Electric Power Capacity Expansion in the Presence of Options

نویسندگان

  • D. J. Wu
  • Paul Kleindorfer
  • Yanjun Sun
چکیده

This paper studies optimal long-term electric power capacity strategies with capacity options. Gencos can sign contracts with Discos, where such contracts take the form of capacity options that may or may not be executed by Discos at some pre-specified maturation date. Capacity not offered in the options market, or for which options by Discos are not executed, can then be offered in the spot market. The purpose of this paper is to derive the optimal capacities for Gencos in the long run, given full knowledge of the short-term equilibria in previous literature. We determine the best response strategies for each Genco in the game derived from the short-term outcome resulting from capacity decisions. We then characterize the long-run equilibrium and derive an efficient algorithm to compute it, when it exists. This allows us also important insights into the nature of technologies that can survive in the long run.

برای دانلود رایگان 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

Dynamic Planning the Expansion of Electric Energy Distribution Systems Considering Distributed Generation Resources in the Presence of Power Demand Uncertainty

In this paper, a new strategy based on a dynamic (time-based) model is proposed for expansion planning of electrical energy distribution systems, taking into account distributed generation resources and advantage of the techno-economic approach. In addition to optimal placement and capacity, the proposed model is able to determine the timing of installation / reinforcement of expansion options....

متن کامل

Presenting a Novel Algorithm to Optimal Designing Power Distribution Network in the Presence of DG

Regarding the nature of non-linear discrete placement, and in order to determine the optimal capacity of the substation, the goal in the present study will be a number of local optimum points. In this research, the problem of optimal placement posts to reduce power losses by considering Distributed Generation (DG). In formulating the objective function, geographical distribution density in the ...

متن کامل

Improving Fast Charging Methods Using Genetic Algorithm and Coordination between Chargers in Fast Charging Station of Electric Vehicles in Order to Optimal Utilization of Power Capacity of Station

Fast charging stations are one of the most important section in smart grids with high penetration of electric vehicles. One of the important issues in fast chargers is choosing the proper method for charging. In this paper, by defining an optimization problem with the objective of reducing the charging time, the optimal charging levels are obtained using a multi-stage current method using a gen...

متن کامل

Designing an Optimal System of Combined Heat, Cold and Power for a Building

In this study, supply electrical, heating and cooling loads in the building by a separate production system and a cogeneration system, particle swarm optimization algorithm in five different scenarios were studied and analyzed (For example, Data and Information a high-rise building base 72, in the city of Kerman is used). The results show that, cold and heat power system of micro gas turbine wi...

متن کامل

A New Optimization Algorithm for Optimal Wind Turbine Location Problem in Constantine City Electric Distribution Network Based Active Power Loss Reduction

The wind turbine has grown out to be one of the most common Renewable Energy Sources (RES) around the world in recent years. This study was intended to position the Wind Turbine (WT) on a wind farm to achieve the highest performance possible in Electric Distribution Network (EDN). In this paper a new optimization algorithm namely Salp Swarm Algorithm (SSA) is applied to solve the problem of opt...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002