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1. Introduction
The Integrated Resource Planning (IRP) model is formulated as a Mixed Integer Linear
Programming problem and has been developed by Professor Ram M. Shrestha since 1998
from Energy Program under School of Environment and Resources Development of Asian
Institute of Technology. The flowchart of the model is presented as figure 1.1 below. In this
model, the number of power generation units to be installed in each year of the planning
horizon is addressed as integer decision variables. The other decision variables of the model
express the power generation of each power plant at each block of a season in a year,
number of DSM appliances to be incorporated into the power system in each year and
expected power supply from foreign importation in each block of a season in a year.
Existing & Candidate Plants
Data
System Load Shape and Load
Forecast yearly
Environmental Costs
DSM data
TRP Model
Optimal expansion plan
Capacity mix
Generation mix/Fuel mix
Cost implications
Emission factors
CO2, SO2 and NOx emission
implications
Figure 1.1The framework of the Integrated Resources Planning (IRP) model
The IRP model is then developed not only to decide the size and types of power plant
capacities corresponding generation and determine the optimal schedule for new capacity
addition and the size, type, timing of various efficient demand side technologies but it also
incorporates distributed power generation sources (DPG) as decentralized power generation to
primarily meet the separate local energy demand of customers served from remote areas
(without T&D losses) and contribute surplus power generation (if it is connected to grid) to
the electricity network (with T&D losses) in meeting the network system demand that
excluding the above local demand. Additionally, the different system and local load sharp
curves in each year are also presented in the model.
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