- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Optimal Sizing of Standalone Photovoltaic System Using Improved Performance Model and Optimization Algorithm
摘要： A standalone photovoltaic system mainly consists of photovoltaic panels and battery bank. The use of such systems is restricted mainly due to their high initial costs. This problem is alleviated by optimal sizing as it results in reliable and cost-effective systems. However, optimal sizing is a complex task. Artificial intelligence (AI) has been shown to be effective in PV system sizing. This paper presents an AI-based standalone PV system sizing method. Differential evolution multi-objective optimization is used to find the optimal balance between system’s reliability and cost. Two objective functions are minimized, the loss of load probability and the life cycle cost. A numerical algorithm is used as a benchmark for the proposed method’s speed and accuracy. Results indicate that the AI algorithm can be successfully used in standalone PV systems sizing. The proposed method was roughly 27 times faster than the numerical method. Due to AI algorithm’s random nature, the proposed method resulted in the exact optimal solution in 6 out of 12 runs. Near-optimal solutions were found in the other six runs. Nevertheless, the nearly optimal solutions did not introduce major departure from optimal system performance, indicating that the results of the proposed method are practically optimal at worst.
关键词： standalone,photovoltaic,sizing,optimization,DEMO
更新于2025-09-23 15:21:01
-
Optimal Energy Management in a Standalone Microgrid, with Photovoltaic Generation, Short-Term Storage, and Hydrogen Production
摘要： This paper addresses the energy management of a standalone renewable energy system. The system is configured as a microgrid, including photovoltaic generation, a lead-acid battery as a short term energy storage system, hydrogen production, and several loads. In this microgrid, an energy management strategy has been incorporated that pursues several objectives. On the one hand, it aims to minimize the amount of energy cycled in the battery, in order to reduce the associated losses and battery size. On the other hand, it seeks to take advantage of the long-term surplus energy, producing hydrogen and extracting it from the system, to be used in a fuel cell hybrid electric vehicle. A crucial factor in this approach is to accommodate the energy consumption to the energy demand and to achieve this, a model predictive control (MPC) scheme is proposed. In this context, proper models for solar estimation, hydrogen production, and battery energy storage will be presented. Moreover, the controller is capable of advancing or delaying the deferrable loads from its prescheduled time. As a result, a stable and efficient supply with a relatively small battery is obtained. Finally, the proposed control scheme has been validated on a real case scenario.
关键词： model predictive control,standalone renewable energy systems,hydrogen,fuel cells,solar photovoltaic energy,deferrable loads,demand side management
更新于2025-09-23 15:21:01
-
Dynamic life cycle economic and environmental assessment of residential solar photovoltaic systems
摘要： With the increasing implementation of solar photovoltaic (PV) systems, comprehensive methods and tools are required to dynamically assess their economic and environmental costs and benefits under varied spatial and temporal contexts. This study integrated system dynamics modeling with life cycle assessment and life cycle cost assessment to evaluate the cumulative energy demand, carbon footprint, water footprint, and life cycle cost of residential grid-connected (GC) and standalone (SA) solar PV systems. The system dynamics model was specifically used for simulating the hourly solar energy generation, use, and storage during the use phase of the solar PVs. The modeling framework was then applied to a residential prototype house in Boston, MA to investigate various PV panel and battery sizing scenarios. When the SA design is under consideration, the maximum life cycle economic saving can be achieved with 20 panels with no battery in the prototype house, which increases the life cycle economic savings by 511.6% as compared to a baseline system sized based upon the engineering rule-of-thumb (40 panels and 40 batteries), yet decreases the demand met by 55.7%. However, the optimized environmental performance was achieved with significantly larger panel (up to 300 units) and battery (up to 320 units) sizes. These optimized configurations increase the life cycle environmental savings of the baseline system by up to 64.6%, but significantly decrease the life cycle economic saving by up to 6868.4%. There is a clear environmental and economic tradeoff when sizing the SA systems. When the GC system design is under consideration, both the economic and environmental benefits are the highest when no battery is installed, and the benefits increase with the increase of panel size. However, when policy constraints such as limitations/caps of grid sell are in place, tradeoffs would present as whether or not to install batteries for excess energy storage.
关键词： Grid-connected and standalone PV systems,Life cycle costing,System dynamics modeling,Battery storage,Solar photovoltaic systems,Life cycle assessment
更新于2025-09-23 15:21:01
-
Optimal Design of Standalone Photovoltaic System Based on Multi-Objective Particle Swarm Optimization: A Case Study of Malaysia
摘要： This paper presents a multi-objective particle swarm optimization (MOPSO) method for optimal sizing of the standalone photovoltaic (SAPV) systems. Loss of load probability (LLP) analysis is considered to determine the technical evaluation of the system. Life cycle cost (LCC) and levelized cost of energy (LCE) are treated as the economic criteria. The two variants of the proposed PSO method, referred to as adaptive weights PSO (AWPSOc f ) and sigmoid function PSO (SFPSOc f ), are implemented using MATLAB software to the optimize the number of PV modules in (series and parallel) and number of the storage battery. The case study of the proposed SAPV system is executed using the hourly meteorological data and typical load demand for one year in a rural area in Malaysia. The performance outcomes of the proposed AW/SFPSOc f methods give various con?gurations at desired levels of LLP values and the corresponding minimum cost. The performance results showed the superiority of SFPSOc f in terms of accuracy is selecting an optimal con?guration at ?tness function value 0.031268, LLP value 0.002431, LCC 53167 USD, and LCE 1.6413 USD. The accuracy of AW/SFPSOc f methods is veri?ed by using the iterative method.
关键词： levelized cost of energy (LCE),multi-objective optimization,particle swarm optimization,standalone PV system,loss of load probability (LLP),life cycle cost (LCC)
更新于2025-09-19 17:13:59
-
A Case Study Comparison Between Photovoltaic And Fossil Generation Based On Direct Current Hybrid Microgrids To Power A Service Building
摘要： The objective of this paper is to make a minutely comparison between 3 different DC microgrids by addressing their most outstanding advantages and disadvantages not only in technical terms, but also regarding other performance related aspects, such as a) measurement of the quality of the electrical supply of the facilities, b) reliability, and c) economic and environmental impact. Results show that in the best case, for all the microgrids, the accuracy of the measurements is around 99.45 %, with a weighted average of voltage applied to the load of 24.54 V. The building studied was reimagined into an autonomous and self-sustaining installation by using renewable electric power in direct current with a power distribution on 24 V. Additionally, the systems developed show a potential of greenhouse gas recovery close to 35.05 tCO2 per year, with a return of investment of 7 years for the renewable-based microgrid and 3 years return for the traditional microgrid. The novelty of this paper relies on the performance comparison of 3 different types of direct current microgrids, one grid-powered (A) based on traditional fuel generation, and two off-grid (B & C) based on photovoltaic energy generation, when feeding a building of considerable size and low operational flexibility.
关键词： DC-microgrid,Building integration,Photovoltaic energy,Commercial network,Renewable generation,Standalone system
更新于2025-09-19 17:13:59
-
Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system
摘要： The paper presents a new multiple scenario multi-objective salp swarm optimization (MS-MOSS) algorithm to optimally size a standalone PV system. An accurate estimation of the number of PV modules and storage battery is crucial as it affects the system reliability and cost. Three scenarios have been presented focusing on Pareto optimal solutions by minimizing two conflicting objectives. Loss of load probability (LLP) and life-cycle cost (LLC) are considered to obtain the Pareto front. The iterative method is employed for validation of the superiority results of the proposed MS-MOSS algorithm. The results show that the scenarios are able to find Pareto optimal configuration at a high level of accuracy and at a very low cost. The proposed three scenarios are faster than iterative approach approximately by 158, 194.2, and 141.6 times, respectively. The third scenario outperforms other scenarios in terms of coverage and convergence of the distribution of solution to the Pareto front. As a conclusion, The MS-MOSS algorithm is found to be very effective in sizing of SAPV system.
关键词： Salp swarm algorithm,LCC,Multiple scenarios,Multi-objectives optimization,Standalone PV system,LLP
更新于2025-09-19 17:13:59
-
[IEEE 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) - Delhi, India (2018.10.22-2018.10.24)] 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) - An ANFIS Artificial Technique Based Maximum Power Tracker for Standalone Photovoltaic Power Generation
摘要： This paper mainly develops a buck-boost converter based standalone photovoltaic system (PV) for power generation with maximum power point tracking (MPPT). Buck/boost converter is controlled by an adaptive neuro fuzzy inference system (ANFIS) MPPT algorithm which is programmed in a microcontroller. Inverter current controller using dSPACE DS1104 is performed for this purpose. Reliability and validity of standalone photovoltaic power generation system is justified using found Simulink and hardware results.
关键词： DC-DC buck boost converter,Standalone photovoltaic system,ANFIS,MPPT,dSPACE DS1104
更新于2025-09-12 10:27:22
-
Assessment of the Carbon and Cost Savings of a Combined Diesel Generator, Solar Photovoltaic, and Flywheel Energy Storage Islanded Grid System
摘要： The use of diesel generators to provide power for islanded grids has been the technology of choice but they generate substantial carbon emissions unless the part or all the fuel comes from a renewable source. Notwithstanding this, the engine must be sized to meet maximum demand and will operate ine?ciently at part load most of the time, which is particularly bad for a synchronous constant speed engine. Given the availability of low cost solar photovoltaic (PV) systems, it is very enticing to ?t a diesel generator and allow the engine to be turned o? during PV generation. However, this combination will not work without some form of energy storage since it takes time for the engine to start, leading to gaps in supply and instability of the system. Lithium-ion batteries are typically considered to be the best solution to this problem because they have a high response rate, costs are lower, and they are available as products. However, they will su?er from the limited cycle and calendar life due to high cycling requirements in the application described. It is, therefore, proposed that a ?ywheel system could o?er a lower lifetime cost alternative since only short duration bridging power storage is needed and ?ywheels of appropriate design can o?er lower power cost than Lithium-ion battery systems. Flywheels are particularly attractive since they have a very high calendar with almost an in?nite cycle life and are fully recyclable at the end of life. This research, therefore, presents an assessment of the ?ywheel energy storage system (FESS) as an alternative to electrochemical batteries to supplement solar PV systems backed up by diesel generators. The model of an islanded PV system combined with a diesel generator and a FESS supplying power to a residential load is implemented in MATLAB/Simulink. The results of the analysis for the cases with and without storage based on a number of di?erent charge-discharge strategies provide evidence to support this hypothesis.
关键词： dynamic model,standalone hybrid system,solar photovoltaic system,backup diesel generator,flywheel energy storage
更新于2025-09-12 10:27:22
-
[IEEE 2018 International Conference On Advances in Communication and Computing Technology (ICACCT) - Sangamner, India (2018.2.8-2018.2.9)] 2018 International Conference On Advances in Communication and Computing Technology (ICACCT) - Optimal Sizing of Battery-Ultracapacitor Hybrid Energy Storage Device in a Standalone Photovoltaic System
摘要： In standalone renewable energy systems, it is most essential to deploy energy storage devices to compensate for the intermittent and random output power generation. Since the last few years, hybrid energy storage devices (HESDs) composed of two or more energy storage technologies are being adopted in these power systems. In this paper, a standalone photovoltaic system with battery-ultracapacitor HESD has been considered for case study. A suitable problem formulation with the necessary objective function and constraints has been developed for the system. A variant of one of the popular meta-heuristic techniques, particle swarm optimization (PSO) has been used to address the optimization problem. The simulation results along with the convergence characteristics of the algorithm have been presented. It is observed that the proposed technique can produce comparable results.
关键词： Battery,standalone photovoltaic system,ultracapacitor,hybrid energy storage,particle swarm optimization (PSO)
更新于2025-09-09 09:28:46
-
Efficient Energy Management System for Solar Energy
摘要： Solar power is the major renewable energy source opted by developing countries as stand-alone/Grid enabled system. Industries and educational institutions are opting for solar energy to combat power crisis. This paper proposes knowledge based, self configurable, smart controller to efficiently use solar energy according to load, under frequent grid failure environment. It is enabled with fault identification and isolation. Extension to higher power capacity is easily achieved with plug and play mechanism. Proposed control architecture is implemented using Field Programmable Gate Array (FPGA), that supports modular level implementation with well defined interfaces for each sub-system. It can be used with low power as well as high power photo-voltaic system. Efficiency of the proposed architecture is demonstrated for the photo-voltaic system installed in educational institution.
关键词： Field Programmable Gate Array,Standalone system,Pulse width modulation,Photo-voltaic system
更新于2025-09-09 09:28:46