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Demand response versus storage flexibility in energy: multi-objective programming considerations

OPTIMIZATION 2021年第7期70卷 1459-1486页

作者： van Ackooij, Wim Paula Chorobura, Ana Sagastizabal, Claudia Zidani, Hasnaa EDF R&D OSIRIS Dept Palaiseau France Univ Fed Parana Postgrad Program Math Curitiba Parana Brazil State Univ Campinas IMECC UNICAMP Inst Math Stat & Sci Comp Campinas Brazil Ensta Paris UMA Palaiseau France

Intermittent sources of energy represent a challenge for electrical networks, particularly regarding demand satisfaction at peak times. Energy management tools such as load shaving or storage systems can be used to mitigate intermittency. In this work, the value of different mechanisms to move energy through time is examined through a multi-objective programming approach, that aims at minimizing operating costs as well as carbon emissions. Among main achievements, we mention a sensitivity result that provides a novel three-dimensional Pareto front. The new tool complements the traditional curves of indifference costs with a quantitative measure for assessing the relative value of the conflicting objectives. The methodology is assessed on three instances representing typical configurations in Brazil, Germany and France, respectively corresponding to a system that is hydro-dominated, thermo-dominated, and with a balanced mix of hydro and thermal power. The corresponding Pareto fronts show that lowering carbon emissions can also reduce generation costs if the power mix is sufficiently diversified.

关键词： multi-objective programming comparative study of energy management systems sensitivity analysis of Pareto fronts

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A multi-objective programming Method Based on Relative Deviation 8

A Multi-objective Programming Method Based on Relative Devia...

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8th International Conference on Logistics, Informatics and Service Sciences (LISS)

作者： Li, Fachao Feng, Kaixin Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang Hebei Peoples R China

ISBN: (纸本)9781538669655

multi-objective programming, as an effective mathematical model for dealing with multiple objectives, is widely used in the fields of complex system optimization, management decision analysis and artificial intelligence. This paper first analyzes the characteristics and deficiencies of the multi-objective planning model based on priority factors, and proposes a multi-objective planning method based on relative deviations. It mainly introduces the relative deviation to describe the degree of deviation from the target value and reflect the satisfactory state of the decision results. It establishes a planning model in which each objective is at the same level, and analyzes the effectiveness of the method in conjunction with a specific case. The comprehensive analysis and the corresponding conclusions show that the solution model established not only ensures the existence of the solution, but also guarantees the reliability of the decision-making result. It has strong explanatory and operability, and to a certain extent, enriches the existing fuzzy decision-making method.

关键词： relative deviation multi-objective programming linear target programming priority factor

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Regional Water Right Distribution Model of multi-objective programming -An Empirical Study based on the Data in Ningxia

Regional Water Right Distribution Model of Multi-objective P...

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17th International Conference on Management Science and Engineering (ICMSE)

作者： Tian Gui-liang Xu Chang-xin Xie Wen-xuan Pan Rong Hohai Univ Sch Business Nanjing 210029 Peoples R China

ISBN: (纸本)9781424481194

Under the background of frequent occurrence of extreme drought as well as increasing attention to water shortage, regional water right distribution has become a vital approach for local government to advocate water right and manage water resource. The connotation along with subject and object of regional water right are investigated in this article. The manifestations of regional water right include life water right, ecological water right and productive water right. multi-objective programming model of regional water right distribution in the fields of life, ecology and production is established taking social, ecological and economic targets into account. In accordance with the principle that basic water right superiors than public water right and competitive water right, the distribution priority is confirmed by questionnaires design and AHP method. Finally, empirical research is conducted by data from Ningxia and results are obtained under the condition of objects equilibrium. 0.3188 billion m(3) water should be distributed to life activities and 0.1109 billion m(3) water should be distributed to ecological activities, 7.3331 billion m(3) to production activities according to the abovementioned empirical research.

关键词： regional water right life water right ecological water right productive water right multi-objective programming Ningxia

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A multi-objective programming model of dynamic adjusting flight traffic

A multi-objective programming model of dynamic adjusting fli...

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International Conference on Mechanical, Electronic and Engineering Technology (ICMEET)

作者： Zhang, Zhaoning Hao, Zhongzhou Gao, Zheng Civil Aviat Univ China Coll Air Traff Management Tianjin 300300 Peoples R China Tianjin Stn Air Traff Management Tianjin 300300 Peoples R China

ISBN: (纸本)9783038350491

To alleviate the conflicts between the current flight traffic demand and the resource constraints of airspace, we need to improve the restrictions of flow allocation caused by the static air traffic flow allocation mode. The author analyzes the optimal allocation problem of dynamic adjusting flight flow and draws the conclusion that the problem should satisfy multiple targets, such as low flight delays, low flight cost and balancing the load of the route. Then consider a variety of limiting factors, such as the capacity of the route, flight planning, emergency situations, etc. Then establish multi-objective programming model of dynamic adjusting flight traffic. The objective function is determined by the flight cost, the flight delays and the value of the load balance. And the value of the load balance was first proposed according to the idea of least squares method. Then solve the model based on linear weighted technique. Finally the numerical result shows that the model can satisfy the multiple objectives and dynamic adjust the flight traffic optimally, that proves the rationality and validity of the model and the algorithm.

关键词： air traffic route flight traffic dynamic allocation model multi-objective programming

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Mixed duality of multi-objective programming

Mixed duality of multi-objective programming

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International Conference on Information Technology and Computer Application Engineering (ITCAE)

作者： Miao, Hong Mei Li, Xiang You Yanan Univ Coll Physis & Elect Informat Yanan Shaanxi Peoples R China Yanan Univ Coll Math & Comp Sci Yanan Shaanxi Peoples R China

In this paper, a class of multi-objective programming is considered, in which related functions are B - (p, r, a)-invex functions, mixed dual problem is researched, many duality theorems are proved under weaker convex... 详细信息

ISBN: (纸本)9781315813288;9781138000797

关键词： B - (p, r, a)-invex function multi-objective programming mixed duality

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Optimal Allocation of Water Resources of Beijing-Tianjin-Hebei based on multi-objective programming

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2nd International Conference on Energy and Environmental Protection (ICEEP 2013)

作者： Zhang, Chaoliang Fang, Yong Luo, JinChuan Bo, Lin Chinese Acad Sci Acad Math & Syst Sci Beijing Peoples R China

ISBN: (纸本)9783037857427

Water resources are the most valuable natural resources for human's survival and development, and the strategic resources of the national economic and social development. Reasonable utilization and allocation of water resources are the fundamental guarantee for the sustainable development strategy in China. So this paper first forecasts the demand of water for each region, then establishes a multi-objective optimization model of water resources and investigates quantitative methods for the social, economic and environment objectives. According to the specific circumstances of each region, we optimally allocate the water resources in Beijing-Tianjin-Hebei.

关键词： Water Resources Optimal allocation multi-objective programming

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Bi-level multi-objective programming problem with fuzzy demands: a fuzzy goal programming algorithm

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OPSEARCH 2014年第2期51卷 280-296页

作者： Baky, Ibrahim A. Eid, Mohamed H. El Sayed, Mohamed A. Benha Univ Fac Engn Dept Basic Sci Banha El Qalyoubia Egypt Benha Univ Fac Engn Shoubra Dept Engn Math & Phys Banha El Qalyoubia Egypt

In this paper, a fuzzy goal programming (FGP) algorithm for solving bi-level multi- objective programming problems with fuzzy demands is presented. These fuzzy demands reflect the experts' imprecise or fuzzy understandings of the nature of parameters in the problem formulation process are assumed to be characterized as fuzzy numbers. Using the level sets of fuzzy parameters, the corresponding non fuzzy bilevel programming problem is introduced. In the proposed algorithm, the membership functions for the defined fuzzy goals of all objective functions at the two levels, as well as the membership functions for the vector of decision variables controlled by FLDM are developed in the model formulation of the problem. Then FGP algorithm is used to achieve the highest degree of each of the membership goals by minimizing their deviational variables and thereby obtaining the most satisfactory solution for all decision makers. Illustrative numerical example is given to demonstrate the proposed algorithm.

关键词： Bi-level programming Fuzzy sets Fuzzy demands Goal programming Fuzzy goal programming multi-objective programming

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Selecting the best route in a theme park through multi-objective programming

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TOURISM GEOGRAPHIES 2018年第5期20卷 791-809页

作者： Rodriguez-Diaz, Beatriz Ignacio Pulido-Fernandez, Juan Univ Malaga Dept Appl Econ Math Malaga Spain Univ Jaen Dept Econ Lab Anal & Innovat Tourism Jaen Spain

The theme park industry has grown intensely in recent times and offer every day a greater number of attractions and activities to visit. The problem is that, when a tourist visits a theme park, he has a short space of time and he wants to maximize the usefulness of the visit, such as enjoying as many attractions as possible. Visitors face a serious selection problem - they must identify the best alternatives so as to optimally utilize their time and visit to the attractions that most interest them, besides keeping a check on the money spent during the visit. It would be very useful if they had a tool to help them take an optimum decision from among the different alternatives, considering their goals, restrictions and preferences. Therefore, we are going to develop a tool that, through a multi-objective model, helps theme park visitors who want to obtain an ideal route, helping them choose among the various alternatives: what activities to pursue, in what order, at what time, etc. The system can be used from home through a web page or application, or when present in the park, which also allows the tourist to incorporate the suggestions that arise in the park on the fly. This tool could improve the satisfaction of tourists visiting the park as it offers the maximum utility with regard to the activities undertaken within the timeframe available to them, thus also rendering added value to the theme park. One of the challenges facing theme parks management is the management of visitor flow, characterized by the dual objective of ensuring the highest quality experience for the tourists and reducing the risks arising from congestion of the different areas and/or most visited attractions, and we consider that this tool can help them to do it.

关键词： Tourist routes multi-objective programming tourist assistance system information and communications technology theme parks decision making

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A New Approach to multi-objective programming based on Satisfied Degree under Fuzzy Environment 10

A New Approach to Multi-objective Programming based on Satis...

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10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

作者： Jie, Jingduo Li, Fachao Jin, Chenxia Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang Peoples R China

ISBN: (纸本)9781467393232

Fuzziness is a common uncertainty who exists widespread in decision process and how to process fuzziness is a widespread context in academic and application fields. For the multi-objective programming under fuzzy environment, this paper firstly analyze the essential characteristics of fuzzy objectives. Then fuzzy objectives are divided into three kinds and represent by fuzzy number by introducing deviation parameter a. Then, regarding membership of fuzzy number as the satisfied degree, we establish the multi-objective programming based on satisfied degree (denotes as MP-SD) and a new solving strategy based on MP-SD is further given. Finally, we illustrate the validity of MPSD through a case. The analytical results show that the proposed approach is effective in fuzzy decision environment and provide rich decision theories for integrated multi-objective programming problems in artificial intelligence and resource management and so on.

关键词： multi-objective programming satisfied degree fuzzy environme deviation parameter decision making

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Estimating the Macroeconomic Costs of CO_2 Emission Reduction in China Based on multi-objective programming

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Advances in Climate Change Research 2010年第1期1卷 27-33页

作者： Ying Fan Xiaobing Zhang Lei Zhu Center for Energy ＆ Environmental Policy Research Institute of Policy ＆ Management Chinese Academy of Sciences Beijing 100190 China

This paper estimates the macroeconornic costs of CO2 emission reduction in China employing the input-output analysis with the multi-objective programming approach. The results show that the effect of reducing CO2 emissions on China＇s economy is significant. Under the present conditions, the estimated macroeconomic costs of CO2 emission reduction in 2010 for China are approximately 3,100-4,024 RMB t-1. The stronger the abatement actions, the higher the macroeconomic costs of per unit emission reduction would be. Excavation industry, oil industry, chemical industry, and metal smelting industry have high potential to abate their CO2 emissions.

关键词： CO2 emission reduction macroeconomic cost multi-objective programming input-output analysis

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