Published November 1984 | Version v1
Journal article

Generation expansion planning considering system operation

  • 1. Central Research Inst. of Electric Power Industry, Komae, Tokyo (Japan). Electrical Engineering Lab.

Description

This paper presents a generation expansion planning analysis system which is composed of the following four models: 1) Detailed simulation model of generation system planning. 2) Simplified simulation model of generation system planning. 3) Linear programming model considering daily operation of generation system in a simplified way. This model can deal with the uncertainties of assumption. 4) Production costing model using annual load duration curve. The following conclusions are obtained from the examination of the above models: (1) Simplified production simulation model gives valid results for economic comparison of generation mix. (2) Both generation cost of the year under study and cumulative generation cost over the planning horizon give the almost same results for economic comparison of generation mix, and the former is sufficiently valid for the simplified study. Above results reveals the suitable field application of each model as follows: (1) The optimization model, that simulates the system operation as simple as possible, is suitable for the comprehensive study. It is vital for this model that it can consider the uncertainties of the assumption. (2) Simulation model, that simulates system operation in detail, is suitable for the study of system operation. (author)

Additional details

Additional titles

Subtitle (English)
Coordination of simulation method and optimization method

Publishing Information

Journal Title
Denryoku Chuo Kenkyusho Hokoku
Journal Issue
no.184007
Series
Denryoku Chuo Kenkyusho Hokoku.
CODEN
DCKHD

INIS

Country of Publication
Japan
Country of Input or Organization
Japan
INIS RN
17007324
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ECONOMICS; ELECTRIC POWER; ENERGY CONSUMPTION; ENERGY POLICY; LINEAR PROGRAMMING; MATHEMATICAL MODELS; NUCLEAR POWER; OPTIMIZATION; PLANNING; POWER DEMAND; SIMULATION
Descriptors DEC
POWER