In this research paper, a multi-objective optimization for sizing a stand-alone photovoltaic system for a Conex in remote areas is developed based on a mixedintegerlinearprogramming (MILP) technique. The stand-alon...
详细信息
In this research paper, a multi-objective optimization for sizing a stand-alone photovoltaic system for a Conex in remote areas is developed based on a mixedintegerlinearprogramming (MILP) technique. The stand-alone system is composed of a photovoltaic array, a cooling/heating system, battery banks, an inverter, and a charge controller. The MILP model is employed to obtain the optimal size and specifications of system components, including model and number of photovoltaic panels, the coefficient of performance of cooling/heating system, and the battery size, with respect to two conflicting objective functions, total cost and loss of power supply probability. The weighted factor method is employed in the model, and the final optimal solutions are achieved by MATLAB software. The suggested model is optimized for four cities in Iran, representing different climate types, but it can be utilized for any site with known climate data. In order to observe the conflict between the two objective functions, the Pareto frontiers are shown. The average cost of supplied electrical power is found to be 160,000, 250,000, 150,000, and 60,000 Iranian Rials per kWh, (180,000 Iranian Rials is equal to 1 US dollar in April 2020), for Tehran, Tabriz, Kerman, and Bandar Abbas, respectively. Based on the optimization results, the system is cost-efficient and suitable for remote applications, especially in desert and semiarid regions. Hence, the proposed system can provide the required electricity of the Conex for approximate initial costs of 440 and 290 million Rials for Kerman and Bandar Abbas, respectively. Finally, the optimum solutions through various weighted factors are shown, considering operator purpose and budget preferences, which permit advantageous utilization of solar energy.
Electrical Vehicles (EVs) have a growing penetration rate in many countries aimed at the reduction of fossil fuel consumption and declining environmental issues. The high penetration rate of EVs, as new electrical ene...
详细信息
Electrical Vehicles (EVs) have a growing penetration rate in many countries aimed at the reduction of fossil fuel consumption and declining environmental issues. The high penetration rate of EVs, as new electrical energy demands, can cause operational problems for distribution networks. Therefore, designing and implementation of monitoring and management mechanisms for EVs charging is a necessity. EVs are equipped with power electronic-based chargers, bringing them a high degree of flexibility in conjugate active and reactive power control. This capability can be employed not only to reduce the adverse impacts of the high penetration rate of EVs on distribution networks operation but also to support the active and reactive management in distribution networks. In this paper, to employ EVs conjugate active and reactive power control capability, a model for central active and reactive power management in a smart distribution network is proposed. The proposed model is an optimization problem in which the objective function consists of two terms, namely, "minimizing the cost of energy" and "improving the voltage profile", over the operation planning horizon. The constraints of the optimization problem include distribution network operation constraints and charging and discharging constraints related to the EVs batteries and chargers. This problem is modelled as a mixedintegerlinearprogramming (MILP) problem and is implemented on the 33-bus, 69-bus, and 133-bus distribution networks. The results show that the proposed model can obtain the lowest energy cost and energy loss and the best operational voltage profile in a completely acceptable calculation time. Moreover, by using the proposed model, supplying the required energy for EVs during their plugin time interval is guaranteed and, increasing the penetration rate of EVs into the network is facilitated. (c) 2020 Elsevier Ltd. All rights reserved.
A nodal clearing price model in day ahead market considering security constraints is established. First, the intra-region and inter-region transaction modes are explained, and the order types are shown. The clearing m...
详细信息
A nodal clearing price model in day ahead market considering security constraints is established. First, the intra-region and inter-region transaction modes are explained, and the order types are shown. The clearing model takes the total social welfare as the goal, considers the security constraints of the network, and specifies the market clearing price expressed by the Lagrangian multiplier. Then the mixedlinearprogramming algorithm is used to solve the model in this paper, and a verification method based on the N-1 criterion is performed. Finally, a numerical case is performed to calculate the clearing price of the network, which illustrates the effectiveness of the proposed method and model.
— Optimization methods for long-horizon, dynamically feasible motion planning in robotics tackle challenging non-convex and discontinuous optimization problems. Traditional methods often falter due to the nonlinear c...
详细信息
mixedintegerlinearprogramming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and interpretability. Current deep learning approaches for MILP foc...
详细信息
Cutting planes (cuts) are crucial for solving mixedintegerlinearprogramming (MILP) problems. Advanced MILP solvers typically rely on manually designed heuristic algorithms for cut selection, which require much expe...
详细信息
3D printing is considered the future of production systems and one of the physical elements of the Fourth Industrial Revolution. 3D printing will significantly impact the product lifecycle, considering cost, energy co...
详细信息
This paper presents a comprehensive theoretical analysis of six distinct mixed-integerprogramming (MIP) formulations for preventive Generator Maintenance Scheduling (GMS), a critical problem for ensuring the reliabil...
详细信息
This paper presents a novel supervised learning framework for real-time optimization of multi-parametric mixed-integer quadratic programming (mp-MIQP) problems. The framework utilizes a multi-layer perceptron (MLP) mo...
详细信息
This article addresses mixedinteger fractional signomial geometric programming (MIFSGP) problems, which have been widely used in industrial design. In this paper, first, we convert fractional signomial programming in...
详细信息
暂无评论