With further penetration of low-carbon energy conversion, microgrids (MGs) have become a necessary tool for expanding the consumption of renewable energies. In this paper, an optimal operation model for a microgrid-ba...
详细信息
Due to the attractiveness of household gas-electric tools, in this paper, an optimization technique is suggested based on the integrated demand response (IDR) and degree of tolerance for household energy management. T...
详细信息
Due to the attractiveness of household gas-electric tools, in this paper, an optimization technique is suggested based on the integrated demand response (IDR) and degree of tolerance for household energy management. The proposed method is mostly used to express the dynamic change in the forms of energy and undetermined variables in the systems, resulting from household and photovoltaic (PV) load. Thermostatically controlled demands include gas-electricity and air conditioning, and cut-able loads include gas electric stove and washing machine. The interval optimization is modeled for optimizing the operation and greenhouse gas emission costs in multi-purpose systems. The undetermined variables are formulated as interval statistics and the limitations are simplified by degree of tolerance. In order to solve it, the interval optimization technique is converted into certainty optimization with the interval order relationship and the delayed probability degree. Then, the developed grasshopper search algorithm is based on the chaos theory to solve the interval optimization model in order to respond to uncertainty and demands of the users, such that degree of tolerance of cost that is acceptable by users is optimized. Contrary to other optimization algorithms, the grasshopper search algorithm can be combined with other methods. In this paper, the chaos theory is adopted to find a better solution. Since the information is placed in the search space without order, using this technique considerably leads to good convergence speed, precise final solution finding, not being trapped in local minima, lower SD, and robustness. Both methods of IDR and degree of tolerance for the household gas-electric equipment manage to reduce energy consumption by about 25% compared to traditional methods. (c) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
As an integral part of multi-energy systems, the energy hub acts a major task in developing the flexibility, efficiency, and reliability. Due to the increasing progress of science and human communities and the rise in...
详细信息
As an integral part of multi-energy systems, the energy hub acts a major task in developing the flexibility, efficiency, and reliability. Due to the increasing progress of science and human communities and the rise in air pollutants and Earth temperature, the need for renewable energies and electric vehicles has increased. The only challenge to the use of new energies is the uncertainty in their production due to the lack of continuous solar irradiation and wind in different hours of the day. Accordingly, this paper addresses an optimal load dispatch form for an energy hub to decrease the total costs of the energy hub, such as exploitation costs and CO2 emission costs. This energy hub includes a heat storage unit, combined heat and power (CHP) unit, photovoltaic (PV) arrays, gas boiler, wind turbine (WT), and electric vehicles (EV). EV uncertainty is modeled via Monte Carlo simulation and a developed algorithm based on grasshoppersearch is adopted for dealing with future un-certainties in electricity price. Moreover, the proposed model considers the electric and thermal demand response (DR) methods comprehensively. Herein, three scheduling scenarios are discussed with different charge/discharge and DR settings. The numerical and graphical results demonstrate that, by choosing a coordinate charge/discharge mode for the EVs, the final costs are successfully reduced. Compared to Scenario 1, the total costs of Scenario 2 are reduced by 12%. Consequently, it can be obvious that the EVs' matched charge/discharge is successfully decreased the energy costs for the consumers. Compared to Scenario 2, the total costs of Scenario 3 are decreased by 5.76%. The results also indicate that by implementing the DR programs, total consumer costs can be further decreased.
暂无评论