A robust model for generation and transmission expansion planning with emission constraints

SIMULATION ◽  
2020 ◽  
Vol 96 (7) ◽  
pp. 605-621
Author(s):  
Abdollah Ahmadi ◽  
Hani Mavalizadeh ◽  
Ali Esmaeel Nezhad ◽  
Pierluigi Siano ◽  
Heidar Ali Shayanfar ◽  
...  
Keyword(s):  
Dynamic Environment ◽  
Planning Horizon ◽  
Gaseous Emissions ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Robust Model ◽  
Expansion Plan ◽  
Emission Limits ◽  
The Cost

This paper presents the application of information gap decision theory (IGDT) to deal with uncertainties associated with load forecasting in dynamic, environment constrained, coordinated generation and transmission expansion planning. Traditionally, the gaseous emissions are constrained over the whole system. Conventional methods cannot guarantee a practical expansion plan since huge emissions can still occur on some buses in the power system. This paper introduces a per-bus emission limit to avoid extreme emissions in highly populated areas. The effect of nodal emission limits is fully discussed and compared to a conventional method. The model is kept linear using the big M approach to decrease the model computational burden. Reliability is considered by limiting the estimated load not served in each year over the planning horizon. The cost of fuel transportation and fuel limits are considered in order to make the model more realistic and practical. The effectiveness of the proposed model is verified by implementation on Garver 6 bus, IEEE 30 bus, and 118 bus test systems.

‘Transmission expansion planning under different uncertainties’

2018 ◽  
Vol 4 (10) ◽  
pp. 194-201
Author(s):  
Ercan Şenyiğit
Keyword(s):  
Electricity Market ◽  
Heuristic Method ◽  
Energy Market ◽  
Conduction Model ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Cross Docking ◽  
Transmission Expansion ◽  
Expansion Plan ◽  
And Storage

This study aimed to determine the transmission expansion plan by considering the uncertainties in the electricity energy market. In the modelling and solution phase, the concept of cross-docking used in logistics and storage will be used, and the electrical conduction model will be created in the cross-docking logic light. With the help of the literature data, the problem will be solved with meta-heuristic method and transmission expansion plan will be established. Our work is aimed to be the interesting modelling work in the field of industrial engineering, addressing many uncertainties in the electricity market. Keywords: ‘Transmission expansion planning, genetic algorithm, uncertainties, electricity, simulation’. 

scholarly journals A two-stage stochastic MILP model for generation and transmission expansion planning with high shares of renewables

2020 ◽  
Author(s):  
Giovanni Micheli ◽  
Maria Teresa Vespucci ◽  
Marco Stabile ◽  
Cinzia Puglisi ◽  
Andres Ramos
Keyword(s):  
Power Systems ◽  
Planning Horizon ◽  
Production Costs ◽  
Energy Sources ◽  
Two Stage ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Flexible Resources

Abstract This paper is concerned with the generation and transmission expansion planning of large-scale energy systems with high penetration of renewable energy sources. Since expansion plans are usually provided for a long-term planning horizon, the system conditions are generally uncertain at the time the expansion plans are decided. In this work, we focus on the uncertainty of thermal power plants production costs, because of the important role they play in the generation and transmission expansion planning by affecting the merit order of thermal plants and the economic viability of renewable generation. To deal with this long-term uncertainty, we consider different scenarios and we define capacity expansion decisions using a two-stage stochastic programming model that aims at minimizing the sum of investment, decommissioning and fixed costs and the expected value of operational costs. To be computationally tractable most of the existing expansion planning models employ a low level of temporal and technical detail. However, this approach is no more an appropriate approximation for power systems analysis, since it does not allow to accurately study all the challenges related to integrating high shares of intermittent energy sources, underestimating the need for flexible resources and the expected costs. To provide more accurate expansion plans for power systems with large penetration of renewables, in our analysis, we consider a high level of temporal detail and we include unit commitment constraints on a plant-by-plant level into the expansion planning framework. To maintain the problem computationally tractable, we use representative days and we implement a multi-cut Benders decomposition algorithm, decomposing the original problem both by year and by scenario. Results obtained with our methodology in the Italian energy system under a 21-year planning horizon show how the proposed model can offer professional guidance and support in strategic decisions to the different actors involved in electricity transmission and generation.

Review on Transmission Expansion Planning Models

2016 ◽  
Vol 818 ◽  
pp. 129-133
Author(s):  
Ibrahim Alhamrouni ◽  
Azhar Khairuddin ◽  
Mohamed Salem ◽  
Abdelrahman Alnajjar
Keyword(s):  
Rapid Growth ◽  
Planning Horizon ◽  
The Other ◽  
Transmission Networks ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Planning Models ◽  
Solution Methods ◽  
Feasible Algorithm

Transmission expansion planning has become a complicated procedure more than any time it was with the rapid growth of the transmission networks, therefore, this work summarizes the works had been done before regarding this topic. This review classifies the existing works from many sides such as, solution methods, planning horizon and from the modeling prospective in order to facilitate the other researcher’s works in this hot area to get a feasible algorithm academically and commercially. The drawbacks of the TEP procedure and some recommendations are also included.

scholarly journals Transmission Expansion Planning Considering Wind Energy Conversion Systems Using PSO

2019 ◽  
Vol 8 (6S3) ◽  
pp. 761-766
Keyword(s):  
Transmission Lines ◽  
Planning Horizon ◽  
Test System ◽  
Distribution Functions ◽  
Wind Generation ◽  
Monte Carlo Simulation Study ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Energy Conversion Systems

In power system studies the most important issue is Transmission Expansion Planning (TEP). The intend of TEP problem is to choose the placement as well as number of additional transmission lines, which are to be added to the existing system to suit growing demand in planning horizon. In this paper a new methodology for TEP is proposed, the presented Transmission planning is linked with generation cost, active power loss minimization by considering wind uncertainties. Firstly, the uncertainties involved in wind generation can be determined by using weigbull probability functions. Monte Carlo simulation study is able to be used to find the probability distribution functions of wind generation. Then, in TEP formulation the WTG uncertainties are considered. Particle swarm optimization (PSO) technique is used for solving the proposed single objective optimization problem. Simulation studies conducted on an IEEE 30 bus test system to certify effectiveness of the TEP problem with considering wind uncertainties.

Large-scale transmission expansion planning: from zonal results to a nodal expansion plan

2017 ◽  
Vol 11 (11) ◽  
pp. 2778-2786 ◽  
Author(s):  
Sara Lumbreras ◽  
Andrés Ramos ◽  
Fernando Banez-Chicharro ◽  
Luis Olmos ◽  
Patrick Panciatici ◽  
...  
Keyword(s):  
Large Scale ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Expansion Plan
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