Webster, impact of unit commitment constraints on generation expansion planning with renewables, in proceedings of 2011 ieee power and energy society general meeting, detroit, mi, 2011. Stochastic electric power expansion planning problem. Modeling and solving a largescale generation expansion. Generation expansion planning in competitive markets vladimir koritarov center for energy, environmental, and economic systems analysis decision and information sciences division dis argonne national laboratory. This paper presents a framework for a possible expansion plan of nepals electricity generation system using. Distribute simulations for parallel execution over multiple client computers or to the cloud. A marketbased approach to power system expansion planning aleksandr rudkevich charles river associates, boston, usa anatoly lazebnik, igor sorokin energy forecasting agency, moscow, russia federal energy regulatory commission technical conference on planning models and software washington, dc june 910, 2010. To cater for expanding load growth, mpe can plan generation requirements for large and small power systems of the future. Based on this need, commercial software vendors have developed planning tools for generation and transmission expansion based on locational marginal pricing lmp. Longterm power system capacity expansion planning considering reliability and economic criteria by yang gu a dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of doctor of philosophy major. Generation expansion planning gep is a highly constrained, non. Modeling marketbased generation expansion planning in. Infanger, g, planning under uncertainty solving largescale stochastic linear programs, 1988.
This paper addresses the multistage expansion planning problem of a distribution system where investments in the distribution network and in distributed generation are jointly considered. Distributed power generation municipalities and dsos. Longterm power generation expansion planning models are a prominent example and determine a capacity expansion for an existing power system over a long planning horizon. Normally, expansion plans encompass periods of twenty 20 years or more, of which the investments for the first five 5 to seven 7 years are firm and projects.
Generation expansion planning gep a longterm approach. Generation expansion planning in the open electricity market. Power generation expansion planning including large scale wind. This model is also used as an example in the gamsdecis users guide. Investigation on generation expansion planning software. In from past, investigators noticed to gep and supply of energy. Traditionally, power system planning has been mainly related to generation expansion planning. Generation expansion planning consists of finding the optimal longterm plan for the construction of new generation capacity subject to various economic and technical constraints. Marketbased approach to power system expansion planning.
Our solutions span the entire asset lifecycle from design through construction and into operations. This paper presents an optimal planning model, a dc optimal power flow opf based multi. Network expansion comprises several alternatives for feeders and transformers. Optgen model for generation expansion planning and. Energy generation capacity expansion planning gep cost. Coordinate capital projects and revamps, whether managed directly or through contractors, with solutions for multi.
This page includes resources for using powerworld software and services to analyze and visualize transmission operations and expansion planning. Ni, applications of ai techniques to generation planning and investment, in proc. Plexos connect is the exponential power complement to run faster simulations with the plexos simulation software. Generation expansion planning of crete power system for. Sections 4 and 5 describe the applications of benders decomposition and timestep approach, respectively. Expansion planning of generation and interconnections. Its integrated databases, quickly customizable changes and userfriendly interface deliver outcomes at the speed your organization needs. Egeas accommodates dispatchable generation sources e.
New generation including technoeconomic selection of plant type in line with renewable targets. The study status of generation expansion planning algorithm and the development status of its associated software are described. In this paper the cretes island power system, which is the largest isolated power system in greece, is analyzed in two long term scenarios in order to estimate the corresponding costs and benefits associated with a significant high electricity production from renewable energy sources res technologies in the period 20092020. It usually involves solving a largescale, nonlinear discrete and dynamic optimisation problem in a highly constrained and uncertain environment. This shift is centered on using net load as a basis for capacity planning and this. Power generation expansion planning including large scale. Analogously, the installation of distributed generation takes into account several alternatives. Generation expansion planning consists of finding the optimal longterm plan for the5 6 construction of new generation capacity subject to various economic and technical constraints.
Pragmatic solution is a combination of existing models and new models designed for shortterm market analysis and risk assessment. All three areas of system planning are consideredgeneration, transmission, and distributionand the impact of high penetration of solar pv analyzed relative to each. Electric power generation expansion planning gep problems that determine the optimal expansion capacity and technology under particular technical constraints, given cost and policy assumptions are undoubtedly among those decisions. Generation expansion planning model supporting diverse. Presentation of wasp methodology wasp is the most wellknown and widely used optimization model for examining medium to longterm expansion options for electrical generating systems. Integrated expansion planning for optimizing hydropower. Egeas is used by electric company planners and others to develop and evaluate integrated resource plans, avoided costs, plant life management plans, and environmental compliance plans. An efficient data driven model for generation expansion planning.
Procurement of new comprehensive planning model software for. A leastcost generation expansion planning study is conducted to find the economic feasibility of large scale integration of wind farms in the main interconnected transmission system of oman. The variable nature of wind and solar generation could exploit the economic potential of bulk electric energy storage ees systems. The inventors present a decision support tool that determines optimal investment decisions in power generation assets. Optimal generation expansion planning with integration of. Integrated generation and transmission planning tools. It 7 usually involves solving a largescale, nonlinear discrete and dynamic optimisation problem in a 8 highly constrained and uncertain environment. All three areas of system planning are considered generation, transmission, and distributionand the impact of high penetration of solar pv analyzed relative to each. The various models use stochastic optimization techniques to solve operational and planning problems. With increased energy planning needs and new regulations, environmental agencies, state energy. As the owneroperator of power generation facilities, your plants and supporting infrastructure are critical to your success.
These programs typically make use of mathematical optimization techniques such linear programming, quadratic programming, and mixed integer programming. Hence, generation and transmission expansion under the present market structure has created increasing concerns for system reliability throughout various regions of the u. In the first scenario, a 20% res energy penetration. Modeling and solving a largescale generation expansion planning problem under uncertainty abstract we formulate a generation expansion planning problem to determine the type and quantity of power plants to be constructed over each year of an extended planning horizon, considering uncertainty regarding future demand and fuel prices. When optimizing the expansion of power supply systems, the economic objective is to minimize the total investment and operating costs over the planning period. Longterm power generation expansion planning with short. In power system planning, generation expansion planning is performed for 5yrears planning horizon or more. The selection of the best expansion alternative for long. The electric generation expansion analysis system egeas. Generation planning is shifting from planning for peak load towards planning for system energy. The generation expansion planning problem is modeled as a mixed integer linear programming model with a generalized network structure in section 3.
In section 6, a case study on koreas generation expansion planning is presented. Simultaneous generation expansion planning and natural gas. Expansion planning of electricity generating system using. This chapter describes the generation expansion planning gep problem in a given electric energy system.
Joint expansion planning of distributed generation and. The generation expansion planning software used is wasp which is restricted in its ability to model intermittent nature of wind. Generation expansion planning is one of the major modules of power system planning studies, normally performed for the next 1030 years. Here, we take the perspective of a central planner that determines the generation expansion plan that is most beneficial for the operation of the electric energy system as a whole.
In this paper, an application of honey bee mating optimization for solving the generation expansion planning problem is presented. Generation planning load forecasting in the short term, load can be forecast with great accuracy, and this is performed daily to determine generation units commitment. Generation expansion planning gep is one of the most important issues in longterm power system planning. All suggestions for improving this manual based on user experience are welcome and. The developed approach recognizes the presence of several generation agents aiming at maximizing their profits and that the planning environment is influenced by uncertainties affecting the demand, fuel prices, investment and maintenance costs and the electricity price. Facing uncertain demand, decisions about generation capacity need to be made. Aurora electric modeling forecasting and analysis software. However, because of the complexity of this process, it has been customary to optimize generation additions and then design a complementary transmission system. Gap is a software for the analysis and planning of energy power systems for a given territory or at the level of. This work proposes a new approach for generation expansion planning suitable for an open market environment. This ed software called genx has application to regulators involved in longterm power system planning and to stakeholders interested in determining future investments. Gep using software tools such as general algebraic modeling.
Now and in the future, climate change is and will be affecting new power plant investment decisions and the. Optimal generation expansion planning with integration of variable renewables and bulk energy storage systems abstract. Psr optgen model for generation expansion planning and. This paper presents a model to solve the generation expansion planning gep, problem in competitive electricity markets. Optimal generation expansion planning is a nonlinear and limited optimization problem. Waspiv is powerful software developed by international atomic energy agency iaea. Electric modeling software with that focuses on fast results and ease of use. Generation and transmission expansion planning for. Electric sector models are powerful tools that guide policy makers and stakeholders. Aurora is the electric modeling forecasting and analysis software that is trusted, easy to learn and userfocused. Partially adaptive stochastic optimization for electric. The generation expansion planning gep problem is a largescale mixed integer nonlinear programming minlp problem cited as one of the most complex optimization problems. Traditionally, to prepare its national electricity plan nep, cea used to run its generation expansion simulations through its legacy software known as egeas.
Partially adaptive stochastic optimization for electric power generation expansion planning jikai zou shabbir ahmed andy sun july 2016 abstract electric power generation expansion planning gep is the problem of determining an optimal construction and generation plan of both new and existing electric power plants to meet future electricity. All solutions are compared to each other in order to reach final optimal solution. The integrated grid planning software is simple and easy to integrate into applications such as geographic information systems gis, scada, erp, or mdm. Robust optimization of electric power generation expansion. Canal component where users define the characteristics of the model run they wish to execute, for example.
Generation expansion planning also known as gep is finding an optimal solution for the planning problem in which the installation of new generation units. The developed approach recognizes the presence of several generation agents aiming at maximizing their profits and that the planning environment is influenced by uncertainties affecting the demand, fuel prices, investment and maintenance. The wasp wien automatic system planning package model permits the user to find an optimal expansion plan for a power generating system over a long period and within the constraints defined by the planner, which is maintained by the iaea international atomic energy agency 1. Generation expansion planning optimisation with renewable. Expansion planning of generation and interconnections under uncertainty. Generation expansion planning involves decisions on location and capacity of new generation, which may lead to adding or relieving congestion in transmission lines, so transmission expansion may be executed due to generation expansion planning gep after transmission expansion, gep should readjust to. Keywords generation expansion planning, transmission network expansion planning, renewable energy 1 introduction one of the major challenges facing the world in the 21st century is the problem of how to provide clean and sustainable energy to meet increasing demand for electric. Lee, generation expansion planning in a competitive environment using a genetic algorithm, ieee, power engineering society general meeting, vol. With the changes in the power industry away from monopolies and regulation, the focus of these models has shifted to.
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