Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand

Abstract

The current study aims to establish an optimal Generation System Expansion Plan that can satisfy the increasing electricity demand while maintaining operational elements and the stability of the energy supply. The architecture is composed of plan-level and operation-level models, which are basically based on optimization. In the first step, we estimated future power demand data through time series analysis. In addition, power plant data were defined and verified data were collected. In the next step, the previous Generation System Expansion Plan methodology was used to deduce a feasible solution and construction costs that satisfy the reserve rate. In the third step, mixed integer programming (MIP)-based power generation system operation plan methodology was used to deduce numbers on the operation of power generation system. In addition, power plants with similar characteristics were grouped to reduce the calculation complexity of unit commitment. In the last step, a feasible solution for the duration of the plan (deduced in Stage II) and operations and maintenance cost information were combined to produce the optimal solution that minimizes the total cost. Experiments were conducted to demonstrate the proposed integrated generation system expansion planning architecture for establishing the optimal generation system expansion planning. This study has academic implications for the establishment of optimal power plant expansion plans to meet future increasing power demand while maintaining operational considerations and supply stability. The effectiveness of the proposed methodology is also illustrated through comparison and verification with the National Plan for Electricity Supply and Demand.

Multi-Period Generation Expansion Planning for Sustainable Power Systems to Maximize the Utilization of Renewable Energy Sources

“…The advantage of merging two modules is that power system operation in different load levels can be modeled more accurately by GEP problems. Thus, such GEP models could provide a more economic and more reliable generation expansion plan [14][15][16].…”

Electricity Usage Efficiency and Electricity Demand Modeling in the Case of Germany and the UK

“…It is very important to establish a power plan for the stable operation of electricity [11]. This refers primarily to the consumption of electrical appliances, cars, and other energy products that are designed to use an adequate amount of energy [12].…”

Long-Term Decision on Wind Investment with Considering Different Load Ranges of Power Plant for Sustainable Electricity Energy Market

“…In this paper, three different load range technologies, including base, peak and wind plant are considered as the candidate units for investment and each technology has different options for investment capacity. However, candidate units for investment in [5,21,25,27,30] are wind unit and in [14,19,20,22,26,[31][32][33][34][35][36][37][38][39] are other technologies. In addition, in this paper, the subsidy is considered in order to stimulate investment in the wind unit.…”

“…The proposed model is a dynamic one, whilst the dynamic nature of investment decisions has not been considered in papers concerning wind energy [3,25,40,41] and other technologies [19,20,22,26,32,[34][35][36][37][38][39]. Therefore, the multi-period stochastic model consisting of transmission network constraints is presented here; • In this network, consideration is given to the uncertainty in the generation of electricity from wind power along with demand consumption.…”