Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios

Ippolito, Mariano Giuseppe; Silvestre, Maria Luisa Di; Sanseverino, Eleonora Riva; Zizzo, Gaetano; Graditi, Giorgio

doi:10.1016/j.energy.2013.11.065

Cited by 119 publications

(51 citation statements)

References 35 publications

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“…A model was proposed and the optimum solution obtained according to economic advantages and environmental impacts in [43]. More studies of MOO can be found in [40,44,45]. The methodology suggested by the authors in the present paper can be further applied to MOO under uncertain inputs.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs

et al. 2016

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This paper presents an application and extension of multiple-criteria decision-making (MCDM) methods to account for stochastic input variables. More in particular, a comparative study is carried out among well-known and widely-applied methods in MCDM, when applied to the reference problem of the selection of wind turbine support structures for a given deployment location. Along with data from industrial experts, six deterministic MCDM methods are studied, so as to determine the best alternative among the available options, assessed against selected criteria with a view toward assigning confidence levels to each option. Following an overview of the literature around MCDM problems, the best practice implementation of each method is presented aiming to assist stakeholders and decision-makers to support decisions in real-world applications, where many and often conflicting criteria are present within uncertain environments. The outcomes of this research highlight that more sophisticated methods, such as technique for the order of preference by similarity to the ideal solution (TOPSIS) and Preference Ranking Organization method for enrichment evaluation (PROMETHEE), better predict the optimum design alternative.

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Section: Introductionmentioning

confidence: 99%

A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs

et al. 2016

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“…Consequently, prosumers' electricity networks in an SG will form a bidirectional market. DSM, together with the integration of distributed generation and energy storage [7][8][9][10][11][12][13] are considered increasingly essential elements of the SG [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Household Energy Management Based on a Double Cooperative Game Approach in the Smart Grid

et al. 2015

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Taking advantage of two-way communication infrastructure and bidirectional energy trading between utility companies and customers in the future smart grid (SG), autonomous energy management programs become crucial to the demand-side management (DSM). Most of the existing autonomous energy management schemes are for the scenario with a single utility company or the scenario with one-way energy trading. In this paper, an autonomous household energy management system with multiple utility companies and multiple residential customers is studied by considering the bidirectional energy trading. To minimize the overall costs of both the utility companies and the residential customers, the energy management system is formulated as a double cooperative game. That is, the interaction among the residential users is formulated as a cooperative game, where the players are the customers and the strategies are the daily schedules of their household appliances; and the interaction among the utility companies is also formulated as a cooperative game, where the players are the suppliers and the strategies are the proportions of the daily total energy they provide for the customers. Without loss of generality, the bidirectional energy trading in the double cooperative game is formulated by allowing plug-in electric vehicles (PEVs) to discharge and sell energy back. Two distributed algorithms will be provided to realize the global optimal performance in terms of minimizing the energy costs, which can be guaranteed at the Nash equilibriums of the formulated cooperative games. Finally, simulation results illustrated that the proposed double cooperative game can benefit both the utility companies and residential users significantly.

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“…The main aim of the main optimization is to find a potential set of solutions for concerned planning problems. The prominent meta-heuristic techniques addressed in the literature (Table 3) include: genetic algorithm (GA) and associated evolutionary algorithms with various variants as in [122,128,131,137,139,143,147,152,155,157,162,165,166]. Also, PSO with various variants have addressed SDN planning problems as in [125,127,130,132,138,158,163].…”

Section: B Numerical Methodsmentioning

confidence: 99%

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

et al. 2017

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Smart grids (SGs), as an emerging grid modernization concept, is spreading across diverse research areas for revolutionizing power systems. SGs realize new key concepts with intelligent technologies, maximizing achieved objectives and addressing critical issues that are limited in conventional grids. The SG modernization is more noticeable at the distribution grid level. Thus, the transformation of the traditional distribution network (DN) into an intelligent one, is a vital dimension of SG research. Since future DNs are expected to be interconnected in nature and operation, hence traditional planning methods and tools may no longer be applicable. In this paper, the smart distribution network (SDN) concept under the SG paradigm, has presented and reviewed from the planning perspective. Also, developments in the SDN planning process have been surveyed on the basis of SG package (SGP). The package presents a SDN planning foundation via major SG-enabling technologies (SGTF), anticipated functionalities (SGAF), new consumption models (MDC) as potential SDN candidates, associated policies and pilot projects and multi-objective planning (MOP) as a real-world optimization problem. In addition, the need for an aggregated SDN planning model has also been highlighted. The paper discusses recent notable related works, implementation activities, various issues/challenges and potential future research directions; all aiming at SDN planning.

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Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios

Cited by 119 publications

References 35 publications

A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs

A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs

Autonomous Household Energy Management Based on a Double Cooperative Game Approach in the Smart Grid

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

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