Abstract
Abstract In this study, multi-objective optimal scheduling of smart energy Hub system (SEHS) in the day ahead is proposed. A SEHS is comprising of interconnected energy hybrid system infrastructures such as electrical, thermal, wind, solar, natural gas and other fuels to supply many types of electrical and thermal loads in a two-way communication platform. All objectives in this paper, are minimized and consist of 1) operation cost and emission polluting in generation side, 2) loss of energy supply probability (LESP) in demand side, and 3) deviation of electrical and thermal loads with the optimal level of electrical and thermal profile in the day ahead. The third objective to flatten electrical and thermal demand profile using Demand Side Management (DSM) by the optimal shifting of electrical and thermal shiftable loads (SLs) is proposed. Also, stochastic modelling of renewable energy sources (RESs) and electrical and thermal loads by Monte Carlo technique is modelled. Using GAMS optimization software, proposed approach by ε -constraint method for obtaining to non-dominated Pareto solutions of objectives is implemented. Moreover, by the decision-making method, the best solution of non-dominated Pareto solutions is selected. Finally, two case studies and sensitivity analysis in case studies for confirmation of the proposed approach are analysed.
Highlights
The bilateral dependence between energies and social sustainability matters, such as economic, environmental and supply demand issues, have stimulated energy operators to evaluate many types of investigations on an energy scheduling issue [1]
Case I) In Case I, first objective, including operation costs and emission polluting in scheduling of generation side, and loss of energy supply probability (LESP) as a second objective are minimized
Emission generated by DGs, boilers, CHPs, electrical grid (EG) and thermal grid (TG) are 816.33 kg, 714.73 kg, 11731.62 kg, 30 331.33 kg and 75 969.37 kg, respectively
Summary
The bilateral dependence between energies and social sustainability matters, such as economic, environmental and supply demand issues, have stimulated energy operators to evaluate many types of investigations on an energy scheduling issue [1]. The SEHS, using bilateral communication link between customers and generation units, is able to provide optimal coordination between units and customers participating in load profile transformation. The changing in load profile has directed the effect on optimal energy dispatch, and can increase the flexibility of system such as minimization of the generation cost, emissions and improving reliability. Using DSM generation side can be managed by the demand side, and increasing energy operator’s authority on optimal energy management of system [3], [4]. DSM strategies can decrease generation costs in energy markets and coordinate the activities of the energy operator and customers to control the demand loads for the prevention of employing of extra units. The mentioned strategies can be utilized with attention to high energy pricing, improving load factor and reliability, reducing emissions etc
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