Multi-objectives Optimal Scheduling in Smart Energy Hub System with Electrical and Thermal Responsive Loads

Self Cite

To accommodate the current energy system with the renewable energy source, the concept of micro grid (MG) has been developed. Using such systems, different advantage such as minimization of power loss, operating cost, and emission can be achieved. In this paper, the 24-hour power and heat based MG scheduling is investigated under environmental aspects and economic issues as bi-objective modelling in the presence of demand response (DR) program for decreasing greenhouse gas emission and system operation cost. The investigation of the MG contains energy storage system, boiler and combined heat and power (CHP). For solving the problem, first the Pareto optimal solutions have been obtained by the weighted-sum technique, then the fuzzy satisfying approach has been used to get optimal trade-off result. To confirm the performance of the method, the problem is solved in two-case to demonstrate the effects of DR on MG scheduling.

Section: Fuzzy Satisfying Methodsmentioning

confidence: 99%

An Economic and Environmental Optimization Model in a Micro Grid with Demand Response

Zadeh

Derakhshan

Hakimi

et al. 2022

Self Cite

“…The lp-metric method is employed as optimization method for solving objective functions in second stage. The lp-metric method modelling is as follows [43]- [48] by Eq. ( 20…”

Section: Optimization Methodsmentioning

confidence: 99%

Optimal Energy Scheduling of Appliances in Smart Buildings Based on Economic and Technical Indices

Muda

Dwijendra

Awsi

et al. 2022

In this article, optimal energy consumption in the smart houses is studied considering techno-economic indices and demand side management (DSM) in electrical grids. The optimal energy consumption is implemented based on optimal scheduling of the household appliances than energy price and capacity of demand flexibility in DSM. The proposed approach is considered as two-stage optimization. Using first stage, energy consumption is modified by optimal shifting of the appliances subject to DSM and energy price. Thus, modified energy consumption is taken into accounted in second stage optimization to maximizing the consumers comfort and minimizing operation cost, simultaneously. The optimization process is done in the MATLAB software, in which objectives in second stage are optimized via lp-metric method. Finally, the performance of the proposed modelling is validated as case studies using numerical simulation.

“…The mentioned house as case study is located in the Hamadan city, Iran, with longitude of 48°30' E longitude and latitude of 34°47' N [51]- [58]. The weather data such as solar radiation and wind speed in Hamadan city and electrical demand profile are given in Fig.…”

Section: Input Datamentioning

confidence: 99%

Economic Performance of a Hybrid Renewable Energy System with Optimal Design of Resources

Dwijendra

Sharma

Asary

et al. 2022

The renewable energy is expanding in the sub-systems of distribution electrical grids, due to having low energy costs and high reliability. In this study, off-grid design of the hybrid energy system based-renewable resources is proposed for a house in Hamadan city in Iran. The resources are designed based on economic and climate data such as battery, solar cells, wind turbines, and electrolyser/fuel cell. The design of mentioned resources is done with attention to twofold optimization modelling including operation cost (OC) and net present cost (NPC). The modelling of resources is implemented in HOMER software based on optimal sizing and installation costs. In the numerical simulation, the three optimal designs are presented to meet electrical demand with minimum costs and high reliability.