Optimal Energy Management in a Smart Micro Grid with Demand Side Participation

Environmental and Climate Technologies

Opulencia Maria Jade Catalan¹  Dwijendra Ngakan Ketut Acwin²  Ganieva Sarvinoz³  Muda Iskandar⁴  Tseng Cheng-Jui⁵ 

[1] College of Business Administration, Ajman University Ajman, Ajman, United Arab Emirates;Department of Architecture, Faculty of Engineering, Udayana University, Bali, Indonesia;Department of Botany and Ecology, Tashkent State Pedagogical University, Tashkent, Uzbekistan;Department of Doctoral Program, Faculty Economic and Business, Universitas Sumatera Utara, Medan, Indonesia;School of Technology in Finance, CTBC Business School, Tainan, Taiwan;

关键词: energy management;    max-min fuzzy procedure;    multi-criteria optimization;    optimal participation of demand side;    weight sum method (wsm);   

DOI  :  10.2478/rtuect-2022-0018

来源: DOAJ

【 摘 要 】

The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies.

【 授权许可】

Unknown