Decision support tool to evaluate alternative policies regulating wind integration into autonomous energy systems

Zouros, N.; Contaxis, G.C.; Kabouris, John C.

doi:10.1016/j.enpol.2004.01.010

Cited by 13 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The integration of environmental, social and economic issues in wind power decision making, although fundamental, is not an easy task and tradeoffs must be made. Zouros et al (2005) point out that wind power penetration in an electricity system should be evaluated in terms of security of supply, system economics, environmental impact, technical aspects and impact on the electricity market, taking also into consideration the market conditions.…”

Section: Towards a Wind Power Planning Modelmentioning

confidence: 99%

An overview of the Portuguese wind power sector

Ferreira

Araújo

O’Kelly

2006

Int Trans Operational Res

View full text Add to dashboard Cite

In the following paper the present situation of the electricity production from Renewable energy Sources (RES) in Portugal is analysed, giving particular attention to the wind power sector due to its increasing importance. The evolution of the electricity system is presented along with the strategies for the sector, and future prospects for the RES. Although the high interest of private companies in the wind sector the administrative and grid barriers represent major obstacles to the wind power development. The problem of the wind intermittency and uncertainty is also discussed.The improvement of interconnection capacity and the increase of power reserve are identified as key requirements for ensuring the security of supply. A clear comprehension of all these aspects is fundamental to aim for an integrated multidimensional wind power planning.

show abstract

Section: Towards a Wind Power Planning Modelmentioning

confidence: 99%

An overview of the Portuguese wind power sector

Ferreira

Araújo

O’Kelly

2006

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…In governmental knowledge management, as in any other knowledge management, a decision‐making process is based on expertise knowledge to solve a problem (De Boer and Walbeek, 1999). The expertise knowledge is usually stored in a system to be used to mimic the human way of reasoning and interpretation of a decision‐making problem (Zouros et al , 2005) such as fuzzy logic, and neural networks learning methods.…”

Section: Problem Formulationmentioning

confidence: 99%

EvoPOL: a framework for optimising social regulation policies

2006

View full text Add to dashboard Cite

Purpose-This paper aims to propose a novel computational framework called EvoPOL (EVOlving POLicies) to support governmental policy analysis in restricting recruitment of smokers. EvoPOL is a fuzzy inference-based decision support system that uses an evolutionary algorithm (EA) to optimize the if-then rules and its parameters. The performance of the proposed method is compared with a fuzzy inference method adapted using neural network learning technique (neuro-fuzzy). Design/methodology/approach-EA is a population-based adaptive method, which may be used to solve optimization problems, based on the genetic processes of biological organisms. The Takagi-Sugeno fuzzy decision support system was developed based on three subsystems: fuzzification, fuzzy knowledge base (if-then rules) and defuzzification. The fine-tuning of the fuzzy rule base and membership function parameters is achieved by using an EA. Findings-The proposed EvoPOL technique is simple and efficient when compared to the neuro-fuzzy approach. However, EvoPOL attracts extra computational cost due to the population-based hierarchical search process. When compared to neuro-fuzzy model the error values on the test sets have improved considerably. Hence, when policy makers require more accuracy EvoPOL seems to be a good solution. Originality/value-When policy makers require more accuracy EvoPOL seems to be a good solution. For complicated decision support systems involving more input variables, EvoPOL would be an excellent candidate for framing if-then rules with precise decision scores that could help the government representatives as to what extent to concentrate on available social regulation measures in restricting the recruitment of smokers.

show abstract

“…To facilitate this decision-making process, expert systems and decision support tools can be employed based on scientific modeling tools. In the past decades, a number of research efforts have been directed toward developing such systems for energy management systems planning [203,[272][273][274][275][276][277][278][279][280]. For assisting in decision making of an advisory council in identifying areas of interest for energy research and development, Lootsma et al employed a number of multi-criteria decision analysis methods to develop an expert system [281].…”

Section: Model-based Decision Support Toolsmentioning

confidence: 99%

A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

et al. 2011

View full text Add to dashboard Cite

Abstract:Energy is crucial in supporting people's daily lives and the continual quest for human development. Due to the associated complexities and uncertainties, decision makers and planners are facing increased pressure to respond more effectively to a number of energy-related issues and conflicts, as well as GHG emission mitigation within the multiple scales of energy management systems (EMSs). This quandary requires a focused effort to resolve a wide range of issues related to EMSs, as well as the associated economic and environmental implications. Effective systems analysis approaches under uncertainty to successfully address interactions, complexities, uncertainties, and changing conditions associated with EMSs is desired, which require a systematic investigation of the current studies on energy systems. Systems analysis and optimization modeling for low-carbon energy systems planning with the consideration of GHG emission reduction under uncertainty is thus comprehensively reviewed in this paper. A number of related methodologies and applications related to: (a) optimization modeling of GHG emission mitigation; (b) optimization modeling of energy systems planning under uncertainty; and (c) model-based decision support tools are examined. Perspectives of effective management schemes are investigated, demonstrating many demanding areas for enhanced research efforts, which include issues of data availability and reliability, concerns in OPEN ACCESSEnergies 2011, 4 1625 uncertainty, necessity of post-modeling analysis, and usefulness of development of simulation techniques.

show abstract

Decision support tool to evaluate alternative policies regulating wind integration into autonomous energy systems

Cited by 13 publications

References 6 publications

An overview of the Portuguese wind power sector

An overview of the Portuguese wind power sector

EvoPOL: a framework for optimising social regulation policies

A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

Contact Info

Product

Resources

About