风光互补发电系统混合储能系统容量优化方法研究

风光互补发电系统受风光资源影响发电功率波动较大,配置适当的储能系统可提高新能源发电的消纳能力和电能质量。针对风光互补发电系统储能容量优化配置问题,将运行投入成本作为优化目标,提出以抽水蓄能为基础,蓄电池和超级电容参与的混合储能系统模型。该储能模型以跟踪负荷曲线作为平抑目标函数,利用集合经验模态分解和滑动平均法,对抽水蓄能机组、蓄电池和超级电容设备进行功率分配。建立了风光发电系统模型,利用带免疫的粒子群算法对储能配置容量进行寻优求解。计算结果表明,所提基于抽水蓄能的混合储能容量优化模型,对发电系统输出功率波动情况改善明显,电能消纳能力和运行经济性有所提高。     

基于随机规划的风光互补系统容量配比方法

在风光互补系统的容量配比研究中,并未考虑风光发电实际输出功率的随机性.提出了一种基于随机规划的风光互补系统容量配比方法.考虑到风光发电的实际输出功率具有随机性,基于随机规划理论建立以功率平稳输出为目标的风光互补系统容量配比模型;利用基于随机模拟技术的粒子群算法求解模型,探讨了风光互补系统的最佳风光容量配比;并以琼海市某...     

风光互补发电系统作为核电站补充应急电源的研究

分析了风光互补发电系统的发展现状,提出了风光互补发电系统作为核电站补充应急电源的设想,并详细阐述了风光互补系统应用于核电站需要解决的若干问题,涉及系统容量及控制结构、互补系统最大功率点跟踪、能量转换及新颖的高效储能方式等。     

并网型风光互补系统容量优化配置方法

摘要： 并网型风光互补系统利用风、光资源的互补特性,以跟踪调度曲线为输出目标。合理配置风光储的容量,既可提高互补系统跟踪调度曲线的能力,又能获得较好的经济效益。以抽水蓄能电站为储能装置,借助HOMER软件将月平均气象数据离散成小时平均数据,基于风电、光电的出力模型和互补系统的控制策略,建立了考虑风光互补性、风光资源利用率、跟踪调度曲线等约束,以工程寿命内总收益最大为目标函数的容量优化配置模型,并提出了一种变步长循环离散求解方法。算例验证了模型和算法的合理性。     

风光互补发电系统远程监测探讨

针对风光互补发电系统的结构及应用范围,对利用各种远程监测技术在风光互补发电系统中的软硬件设计、应用范围进行了探讨,为今后实际应用提供了有益参考,并对风光互补发电系统远程监测发展趋势做了展望。     

风光互补发电系统电能质量特性分析

为了解风光互补发电系统电能质量特性,构建了风光互补发电系统出力和控制仿真模型,提取仿真运行中的电压、电流数据,并在孤岛和并网运行方式下分析了电网电能质量的变化特性,进而提出了一套面向风光互补发电系统的电能质量分析指标体系,可为风光互补发电系统运行优化及电能质量治理提供合理建议。     

风光互补系统多阶段充电控制策略研究

随着风光互补发电技术的发展,储能单元已成为风光互补发电系统的重要组成部分,储能单元的优劣将直接影响到系统的整体性能.针对风光互补发电系统自身的特点,提出了基于风光互补发电系统的铅酸蓄电池多阶段充电控制策略.通过对不同阶段充电控制策略的控制调节,可以使蓄电池在环境发生变化时仍然可以得到合理有效的充电效果;通过合理的转换和控制电路使风能与太阳能资源得到最大限度的存储与利用;通过系统仿真与实验验证了蓄电池多阶段充电控制策略的合理性与可实施性.     

风光互补路灯无线传感控制器的应用

介绍了独立开发的一种高性能风光互补控制器专为高端的小型风光互补系统设计,适用于风光互补路灯系统和风光互补监控系统,可以解决现有风光互补路灯的很多不足之处。     

基于交互式多目标优化算法的风光互补发电系统优化

风光互补发电系统的优化配置是一个多目标优化问题,优化目标为系统安装成本,约束条件为供电可靠性。合理的匹配设计是充分发挥风光互补发电系统优越性的关键。在成本(目标)函数的最优化计算中,提出一种基于偏好的交互式多目标优化算法,利用交互式遗传算法优化目标权重值组成的种群,利用粒子群优化算法优化加权单目标函数,并将其应用到风光互补发电系统的优化配置中。计算结果表明,在满足负荷用电的前提下,风光互补发电系统的经济性能优于单独的光伏系统和风电系统。     

风光互补发电制氢储能系统模拟仿真研究及性能分析

文中利用Matlab/Simulink以河北工程大学风光互补发电制氢储能系统为原型建立了仿真模型,将邯郸地区的气象参数输入模型,得到系统各部分不同容量配置下的发电量、制氢速率以及太阳能、风能、电能转化为氢能的效率。分析出各影响因素对制氢速率的影响程度,太阳能、风能发电的效率,太阳能、风能、网电转化为氢能的效率,为风光互补发电制氢储能系统的开发提供了理论依据。     

Multi-objective optimization of the hybrid wind/solar/fuel cell distributed generation system using Hammersley Sequence Sampling

As the development of China's economy, environmental problems in China become more and more serious. Solar energy and wind energy are considered as ones of the best choices to solve the environmental problems in China and the hybrid wind/solar distributed generation (DG) system has received increasing attention recently. However, the instability and intermittency of the wind and solar energy throw a huge challenge on designing of the hybrid system. In order to ensure the continuous and stable power supply, optimal unit sizing of the hybrid wind/solar DG system should be taken into consideration in the design of the hybrid system. This paper establishes a multi-objective optimization framework based on cost, electricity efficiency and energy supply reliability models of the hybrid DG system, which is composed of wind, solar and fuel cell generation systems. Detailed models of each unit for the hybrid wind/solar/fuel cell system were established. Advanced ε-constraints method based on Hammersley Sequence Sampling was employed in the multi-objective optimization of the hybrid DG system. The approximate Pareto surface of the multi-objective optimization problems with a range of possible design solutions and a logical procedure for searching the global optimum solution for decision makers were presented. In this way, this work provided an efficient method for decision makers in the design of the hybrid wind/solar/fuel cell system.     

Study on optimal configuration of the grid-connected wind–solar–battery hybrid power system

The capacity allocation of each energy unit in the grid-connected wind–solar–battery hybrid power system is a significant segment in system design. In this paper, taking power grid dispatching into account, the research priorities are as follows: (1) We establish the mathematic models of each energy unit in the hybrid power system. (2) Based on dispatching of the power grid, energy surplus rate, system energy volatility and total cost, we establish the evaluation system for the wind–solar–battery power system and use a number of different devices as the constraint condition. (3) Based on an improved Genetic algorithm, we put forward a multi-objective optimisation algorithm to solve the optimal configuration problem in the hybrid power system, so we can achieve the high efficiency and economy of the grid-connected hybrid power system. The simulation result shows that the grid-connected wind–solar–battery hybrid power system has a higher comprehensive performance; the method of optimal configuration in this paper is useful and reasonable.     

Design,modeling and optimization of a renewable-based system for power generation and hydrogen production

Due to the environmental concerns caused by fossil fuels, renewable energy systems came into consideration. In this study, a renewable hybrid system based on ocean thermal, solar and wind energy sources were designed for power generation and hydrogen production. To analyze the system, a techno-economic model was exerted in order to calculate the exergy efficiency as well as the cost rate and the hydrogen production. The main parameters that affect the system performance were identified, and the impact of each parameter on the main outputs of the system was analyzed as well. The thermo-economic analysis showed that the most effective parameters on the exergy efficiency and total cost rate are the wind speed and solar collector area, respectively. To reach the optimum performance of the system, multi-objective optimization, by using genetic algorithm, was applied. The optimization was divided into two separate case studies; in case A, the cost rate and the exergy efficiency were considered as two objective functions; and in case B, the cost rate and the hydrogen production were assigned as two other objective functions. The optimization results of the case A showed that for the total cost rate of 30.5 $/h, the exergy efficiency could achieve 35.57%. While, the optimization of the case B showed that for the total cost rate of 28.06 $/h, the hydrogen production rate could reach 5.104 kg/h. Furthermore, after optimizing, an improvement in exergy efficiency was obtained, approximately 19%.     

风/光/柴多能互补发电系统优化配置研究

为实现风/光/柴多能互补发电系统的经济运行,应用启发式算法以分布式发电投资、运行费用、向输电系统直接购电费用以及考虑环境因素费用总和最小为优化目标,分别对并网型和离网型两种情况进行规划和运行的综合分析,从而确定各DG类型的最优投入容量。研究结果表明:该模型可以全面评估分布式发电的经济性能,并对不同运行方式给出相应的最优配置方案,从而极大地提高系统的供电可靠性和经济可行性。     

Optimal design and techno-economic analysis of a hybrid solar–wind power generation system

Solar energy and wind energy are the two most viable renewable energy resources in the world. Good compensation characters are usually found between solar energy and wind energy. This paper recommend an optimal design model for designing hybrid solar–wind systems employing battery banks for calculating the system optimum configurations and ensuring that the annualized cost of the systems is minimized while satisfying the custom required loss of power supply probability (LPSP). The five decision variables included in the optimization process are the PV module number, PV module slope angle, wind turbine number, wind turbine installation height and battery capacity. The proposed method has been applied to design a hybrid system to supply power for a telecommunication relay station along south-east coast of China. The research and project monitoring results of the hybrid project were reported, good complementary characteristics between the solar and wind energy were found, and the hybrid system turned out to be able to perform very well as expected throughout the year with the battery over-discharge situations seldom occurred.     

风/光混合发电系统的优化方法综述

为了从混合发电系统中获得足够经济可靠的电力,其优化方法的选择非常关键,分析了风/光混合发电系统的结构,系统梳理了国外风/光混合发电系统的软件优化法、传统优化方法、人工智能法等优化方法,并对混合发电系统的各种优化方法进行了总结及展望,可为国内风/光混合发电系统优化问题的合理解决提供参考。     

计及风、光消纳的风电-光伏-光热互补发电二层优化调度

以风电、光伏、光热构成新能源互补发电模式,计及风、光资源消纳,建立将高载能负荷作为可调度资源参与新能源互补发电系统的二层优化调度模型,采用NSGA-Ⅱ和二进制粒子群算法求解模型。上层优化模型以互补系统输出功率波动最小和并网效益最大为优化指标确定各机组的出力,并且计算出弃风弃光量。在此基础上,下层优化模型针对上层优化模型造成的弃风弃光量,选取能够有效消纳风、光的高载能负荷参与电网调度。最后,以甘肃地区实际数据为例,验证了所提方法的可行性和有效性。仿真结果表明,光热电站的参与增加了44.3%的经济效益,减小了65.8%的输出功率波动,高载能负荷的参与减小了86.3%的弃风弃光量。     

An investigation of variable speed operation of diesel generators in hybrid energy systems

This paper provides a preliminary assessment of the performance and economic potential of a hybrid energy system (wind/diesel) power system which includes a variable speed diesel generator. Recent development in power electronics would be utilized to allow asynchronous operation of the diesel generator, while simultaneously delivering constant frequency electric power to the local electrical grid. In addition to the variable speed diesel, the system can include wind and/or solar electric sources. A hybrid energy system model recently developed at the University of Massachusetts is used to simulate this system configuration and other more conventional wind/diesel hybrid energy systems. Experimental data from a series of variable speed diesel generator tests were used to generate a series of fuel consumption curves used in the analytical model. In addition to performance (fuel savings) comparisons for fixed and variable speed systems, economic cost of energy calculations for the various system designs are presented. It is shown that the proposed system could offer both performance and economic advantages.     

Optimization and control of autonomous renewable energy systems

Recently, there has been a growing interest in harnessing renewable energy resources particularly for electricity generation. One of the main concerns in the design of an electric power system that utilizes renewable energy sources, is the accurate selection of system components that can economically satisfy the load demand. This depends on the load that ought to be met, the capacity of renewable resources, the available space for wind machines and solar panels, and the capital and running costs of system components. Once size optimization is achieved, the autonomous system must be controlled in order to correcly match load requirements with instantaneous variation of input energy. In this paper, a new formulation for optimizing the design of an autonomous wind-solar-diesel-battery energy system is developed. This formultation employs linear programming techniques to minimize the average production cost of electricity while meeting the load requirements in a reliable manner. The computer program developed reads the necessary input data, formulates the optimization problem by computing the coefficients of the objective function and the constraints and provides the optimum wind, solar, diesel, and battery ratings. In order to study the effect of parameters predefined by the designer on the optimum design, several sensitivity analysis studies are performed, and the effects of the expected energy not served, the load level, the maximum available wind area, the maximum available solar area, and the diesel engines' lifetime are investigated. A controller the monitors the operation of the autonomous system is designed. The operation of this controller is based on three major policies; in the first, batteries operate before diesel engines and hence the storage system acts as a fuel saver, while in the second diesel engines are operated first so that the unmet energy is lower but the fuel cost is high. According to the third policy, the supply is made through diesel engines only. This is done for the purpose of making a performance comparison between the isolated diesel system and the hybrid renewable energy system. The proposed optimization and control techniques are tested on Lebanese data. Although three different control policies have been adopted in this work, the software is able to accommodate other policies.     

Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

The present paper has disseminated the design approach, project implementation, and economics of a nano-grid system. The deployment of the system is envisioned to acculturate the renewable technology into Indian society by field-on-laboratory demonstration (FOLD) and “bridge the gaps between research, development, and implementation.” The system consists of a solar photovoltaic (PV) (2.4 kWp), a wind turbine (3.2 kWp), and a battery bank (400 Ah). Initially, a prefeasibility study is conducted using the well-established HOMER (hybrid optimization model for electric renewable) software developed by the National Renewable Energy Laboratory (NREL), USA. The feasibility study indicates that the optimal capacity for the nano-grid system consists of a 2.16 kWp solar PV, a 3 kWp wind turbine, a 1.44 kW inverter, and a 24 kWh battery bank. The total net present cost (TNPC) and cost of energy (COE) of the system are US$20789.85 and US$0.673/kWh, respectively. However, the hybrid system consisting of a 2.4 kWp of solar PV, a 3.2 kWp of wind turbine, a 3 kVA of inverter, and a 400 Ah of battery bank has been installed due to unavailability of system components of desired values and to enhance the reliability of the system. The TNPC and COE of the system installed are found to be US$20073.63 and US$0.635/kWh, respectively and both costs are largely influenced by battery cost. Besides, this paper has illustrated the installation details of each component as well as of the system. Moreover, it has discussed the detailed cost breakup of the system. Furthermore, the performance of the system has been investigated and validated with the simulation results. It is observed that the power generated from the PV system is quite significant and is almost uniform over the year. Contrary to this, a trivial wind velocity prevails over the year apart from the month of April, May, and June, so does the power yield. This research demonstration provides a pathway for future planning of scaled-up hybrid energy systems or microgrid in this region of India or regions of similar topography.