Generation Expansion Planning in pool market: A hybrid modified game theory and improved genetic algorithm

Shayanfar, Heidar Ali; Lahiji, Azim Saliminia; Aghaei, Jamshid; Rabiee, Abdorreza

doi:10.1016/j.enconman.2009.02.001

Cited by 28 publications

(16 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This at times can be represented as an economic criterion, which is usually introduced in an effort to embed the generating system reliability considerations directly in the minimum cost model. Hence, reliability of the system can be formulated as part of the objective function(s) or included as part of the constraints . A typical generation expansion plan is expected to satisfy the reliability criterion and ensure that the reliability requirements are met as specified by appropriate standards.…”

Section: Model Formulationmentioning

confidence: 99%

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

View full text Add to dashboard Cite

Summary Generation expansion planning (GEP) is a power plant mix problem that identifies what, where, when, and how new generating facilities should be installed and when old units be retired over a specific planning horizon. GEP ensures that the quantity of electricity generated matches the electricity demand throughout the planning horizon. This kind of planning is of importance because most production and service delivery is dependent on availability of electricity. Over the years, the traditional GEP approaches have evolved to produce more realistic models and new solution algorithms. For example, with the agitation for green environment, the inclusion of renewable energy plants and energy storage in the traditional GEP model is gradually gaining attention. In this regards, a handful of research has been conducted to identify the optimal expansion plans based on various energy‐related perspectives. The appraisal and classification of studies under these topics are necessary to provide insights for further works in GEP studies. This article therefore presents a comprehensive up‐to‐date review of GEP studies. Result from the survey shows that the integration of demand side management, energy storage systems (ESSs), and short‐term operational characteristics of power plants in GEP models can significantly improve flexibility of power system networks and cause a change in energy production and the optimal capacity mix. Furthermore, this article was able to identify that to effectively integrate ESS into the generation expansion plan, a high temporal resolution dimension is essential. It also provides a policy discussion with regard to the implementation of GEP. This survey provides a broad background to explore new research areas in order to improve the presently available GEP models.

show abstract

Section: Model Formulationmentioning

confidence: 99%

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

View full text Add to dashboard Cite

show abstract

“…In the era of post-restructuring, private generation investors propose their PGP to ISO. A PGP includes location, size, and type of generation units [1,2,33,37,38]. Meanwhile, it is necessary to consider power system security in power generation planning [34].…”

Section: Problem Statementmentioning

confidence: 99%

A multi-attribute congestion-driven approach for evaluation of power generation plans

Salehizadeh

Rahimi-Kian

Buygi

2014

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

Summary Independent System Operator (ISO) needs to draw sufficient attention to transmission congestion management (TCM) for guaranteeing power system security when deciding about a proposed power generation plan (PGP). To this end, this paper proposes a multi‐attribute decision‐making approach. The proposed decision‐making procedure for a considered PGP includes three major stages: (1) Obtaining different attributes of TCM for all considered scenarios, i.e. the normal operating case and contingencies due to outage of power system components before and after implementation of the PGP. (2) Identifying the effective scenarios before and after the implementation of the PGP. For this purpose, two multi‐attribute decision‐making approaches are applied, one of which ISO could adopt based on its managerial point of view: (a) A conjunctive approach in which scenarios meeting minimal predefined thresholds for their obtained TCM attributes are selected. (b) A pessimistic approach based on data envelopment analysis introduced by Charnes, Cooper, and Rhodes (CCR‐DEA) in which the severest scenarios are selected. 3) Calculating each scenario's Degree of Severity (DOS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and comparing sum of the DOS of the effective scenarios before and after the implementation of the PGP. For an acceptable PGP, sum of effective scenarios' DOS after implementation of the PGP should be less than that of before. The proposed procedure is applied to the IEEE Reliability Test System (RTS) and the results are analyzed. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

“…A hybrid modified game theory was presented in [36,37] to determine the generation expansion planning in a Pool market. Mei et al discussed five different game scenarios, one non-cooperative game and four cooperative games with investors of wind power, photovoltaic generation and storage battery as game players [16].…”

Section: Application Of Game Theory In Hybrid Power System Planningmentioning

confidence: 99%

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Liu

2018

Sustainability

View full text Add to dashboard Cite

Abstract:The rapid development of Energy Internet (EI) has prompted numbers of generators to participate, leading to a hybrid power system. Hence, how to plan the hybrid power system and allocate its profit becomes necessary. In this paper, the cooperative game theory is introduced to discuss this problem. We first design the basic structure of EI, and point out the object of this study-coal power plant-wind farm-photovoltaic power station-energy storage provider (CWPE) alliance. Subsequently, average allocation strategy (AAS), capacity-based allocation strategy (CAS) and Shapley value allocation strategy (SAS) are proposed, and then the modified disruption propensity (MDP) index is constructed to judge the advantages and disadvantages of the three schemes. Thirdly, taking a certain area of A Province as an example, the profits of CWPE under three strategies are calculated respectively. Finally, by analyzing individual rationality and collective rationality of cooperative game and the MDP index of the three profit allocation schemes, we find that SAS is the most stable.

show abstract

Generation Expansion Planning in pool market: A hybrid modified game theory and improved genetic algorithm

Cited by 28 publications

References 7 publications

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

A multi-attribute congestion-driven approach for evaluation of power generation plans

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Contact Info

Product

Resources

About