Optimisation of smart mobile toilet using maximum power point tracking

Maximization of power from a solar photovoltaic (SPV) module is of special interest as the efficiency of the SPV module is very low. The present work describes the maximum power point tracker (MPPT) for the SPV module connected at variable load conditions. A personal computer (PC) is used for control of the MPPT algorithm. The power tracker is developed and tested successfully in the laboratory. The simulations are carried out in Matlab/Simulink. Data acquisition, monitoring, and control are done by the dSPACE software. Different types of algorithms are studied. The algorithm implemented here is “perturb and observe” in a microcontroller-based PC to extract maximum power from the SPV module. The measured parameters such as panel voltage, current, and power are obtained with and without MPPT systems and have been tested on the SPV Module at various load conditions, different temperatures and insolation labels. The comparative results with and without MPPT are shown; the results show that the tracking capability with MPPT improves as compared with without MPPT.

A smart city makes use of ICT in order to manage its resources efficiently and therefore provide a lot of new kinds of services that help in improving the quality of life of its citizens. A smart village employs both technological and non-technological solutions to fulfil the basic needs of the village people like education, health, economic growth, and food security. In India, many initiatives for the development of smart cities and smart villages have been started in recent years. While some of these initiatives are implemented successfully, others are taking their pace. This chapter describes the essential elements of smart cities and smart villages. Both technological and non-technological solutions are required for the development of Indian smart cities and villages. The chapter also highlights the issues and challenges that need to be overcome for sustainable development and digital transformation of cities and villages.

Static method to optimize a power delivered by a solar panel is called Maximum Power Point Tracking (MPPT). The method tries to find a maximum power from its PV solar panel characteristics curve using a power converter. MPPT is realized using a buck boost converter and Filter variable step size modified incremental conductance method. Experimental works show that the MPPT system successfully seeks its maximum power and decreases the oscillation during pathway to reach the maximum power. The power generated by the solar panels at 1000 watt/m2 (without MPPT) is 4.17 watt (R = 50 Ω) and 2.37 watts (R = 25 Ω). MPPT system can increase the power to solar panels into 4.48 watt (R = 50 Ω), and 4.32 watt (R = 25 Ω). The power generated by the solar panels at 750 watt/m2 (without MPPT) is 2.53 watt (R = 50 Ω) and 1.48 watts (R = 25 Ω). MPPT system designed also improve the power of solar panels into 3.02 watt (R = 50 Ω) and 3.02 watt (R = 25 Ω). The error steady state in the maximum power condition is 1.188%.

This Harnessing energy from the abundant and free sunlight is now a days a hot-topic among the research community. The availability of cheap solar modules has made it possible to harvest solar energy with better efficiency. The nature of solar modules is nonlinear and therefore the process of impedance matching is essential. The proper impedance matching ensures extraction of the maximum power from solar PV module. Several algorithms are reported in literatures that are used to operate the DC-DC converter around MPP. Maximum power point tracking (MPPT) algorithm acting an significant part in photovoltaic (PV) power generating system because it exploit the output power from a PV generating set for a various climatically conditions. This paper suggested a new modified work for MPPT of PV energy gathering system by using the optimized novel fuzzy logic controller (FLC). In the optimized FLC method, the membership functions tune automatically. In this paper MATLAB simulation effort shows with MPPT controller, a zero voltage and zero current dc to dc buck-boost Luo converter feeding a battery load is achieved. The results demonstrate that the suggested novel rule FLC MPPT in the photovoltaic generating system is valid.

This paper reviews the existing models, connection schemes and maximum power point tracking (MPPT) methods of PV arrays. The partial shading causes significant power losses. It is very difficult to maintain uniform irradiance over the entire PV array, especially for rooftop or building-integrated PV systems. The aspects such as connection scheme of PV array, shading pattern and maximum power point tracking (MPPT) techniques, etc., decide the power generated by the PV array. The conventional MPPT methods are only capable of reaching maximum power point (MPP) in identical insolation situations. Hence, conventional MPP tracking becomes inept due to the existence of several peaks in the P-V characteristics. There are different global maximum power point (GMPP) tracking techniques available in the literature that operate in partial shading scenarios. The reconfiguration of the PV array reduces the number of multiple peaks. This reduction in several peaks makes conventional MPP tracking techniques competent even under partial shading conditions with low implementation complexity and higher tracking speed. This paper can assist scientists in choosing a precise objective-based PV module model, connection schemes and MPP tracking methods out of numerous schemes available in the literature.

An on-line MPPT algorithm for rapidly changing illuminations of solar arrays

Initially, the concept of Smart Cities (urban settlement) originated from the Internet of Things (IoT) technology, however, the use of IoT technology can be extended to the concept of Smart Villages (rural settlement) as well, improving the life of the villagers, and the communities as a whole. Yet, the rural settlements have slightly different requirements than the urban like settlements. If application of IoT in Smart Cities can be characterized by densification of IoT to day-to-day life, following cities’ structural characteristics of being densely settled places, IoT empowered Smart Villages are usually a system of dispersion and deficiency. In this manner, this research paper will address and discuss different application areas of IoT technology, identifying differences, but also similarities in both ecosystems, while trying to illuminate the standardization efforts that can be applicable in both contexts. In our text we will propose the following IoT application domains, which will also serve as a base for research on smart villages: 1. Natural Resources and Energy, 2. Transport and Mobility, 3. Smart Building, 4. Daily Life, 5. Government, and 6. Economy and Society. By providing an overview of technical solutions that support smart solutions in Smart Cities and Smart Villages this research paper will evaluate how, with IoT empowered Smart Villages and Smart Cities, an overall improvement of quality of life of their inhabitants can be achieved.

A new approach in MPPT for photovoltaic array based on Extremum Seeking Control under uniform and non-uniform irradiances

Solar panels are a renewable energy power plant that uses sunlight as its main energy source. The power generated by solar panels are determined by the size of the solar panels, solar radiation and temperature. The power of the solar panels is also determined by the output voltage of the solar panels. To get the maximum output power at any time, it is necessary to adjust the output voltage of the solar panel. This study proposes controlling the maximum output power of solar panels, also known as maximum power point tracking (MPPT) by adjusting the output voltage of the solar panels using a buck converter. The buck converter output voltage regulation at the maximum power point of the solar panel is designed with the Perturbation and Observation (PO) algorithm which is implemented using an Arduino Mega 2560. This MPPT control system is applied to 4x50 Watt-Peak (WP) solar panels which are connected in parallel. The experimental results show that the proposed MPPT control system with the PO algorithm has worked well as expected. This can be seen from the output power generated by the solar panels already around the maximum power point at any change in solar radiation and temperature.

Conventional maximum power point tracking (MPPT) controllers only use one loop tracking. The fast changes of atmospheric conditions result in power loss in the tracking process. In this paper, two-loop MPPT of solar array using a current converter is presented. The solar array is treated as a current source model instead ofthe traditional voltage source. A current converter operating in MPPT mode under different insolations and temperatures is designed for a solar power system. The principle of energy conservation is used to develop the small-signal model and transfer function for the solar power system. Using principle of energy conservation, the drawback of state-space-averaging method can be overcome. A digital PI compensator is used to implement the proposed MPPT control in real-time, and the effect ofthe floating operation by the fixed-point processor is also considered. Simulations and experimental results are presented to demonstrate better performance for the proposed system.

In this paper, a solar photovoltaic (PV) array powered scalar control of the induction motor (IM) drive for the water pumping application is presented. This control scheme involves the standalone operation of the IM drives. Solar PV array has nonlinear I- V characteristics, it requires additional control technique for Maximum Power Point (MPP) tracking. The efficiency is improved with the help MPP tracking (MPPT) technique which extracts maximum power available to the PV array. Perturb and observe (P&O) control technique offers simple control, ease of implementation and low cost is utilized along with DC/DC converter. This Stage extracts maximum power available from the PV array and fed power to the next stage of the DC/AC converter. The switching of DC/AC converter is generated with the help of open-loop V/F control of IM. The performance of the system is examined with the help of MATLAB/Simulink and corresponding results are present to support the suitability of the control scheme.

Smart cities and villages refer to making cities and villages more beautiful and fuller of all the requirements that can make the lives of the people living in the cities and villages more comfortable and satisfactory. On 25th June 2015, this initiative was launched by the Central government, and the time limit for completion was 5 years, but due to the pandemic situation, it was further extended by the central government, and this year, all the states are required to submit their respective report about the progress in this regard. In India, 70% of the total population lives in Villages and only 30% are part of urban areas. In India, villages should be a combination of smart and digital villages. If the work is done at the grassroots level, it will 436solve many problems, such as migration, employment, poverty, education, and medical facilities. Sustainability of the environment is one of the basic requirements for humankind globally. In 2015, the United Nations introduced Sustainable Development Goals (SDGs) to address environmental and economic issues and challenges and to provide and promote better and more sustainable pathways for the future generation globally. It is not a matter of concern for a group of countries, but every single species is affected by environmental issues. Owing to the dense population, infrastructure, buildings, and commercialization, cities are more prone and susceptible to the effects of climate change and natural disasters. While increasing the sustainability of urbanization processes is necessary to protect the environment, reduce the risk of disasters, and address climate change, building urban resilience is essential to preventing losses in terms of people, society, and the economy. Goal 11 of the SDGs deals with Sustainable Cities and Communities. Focusing more on urbanization in such a way that comprehensively controls and plans the development of cities and villages using different technologies and sciences to make them smart cities and villages. By ensuring that smart cities and villages will help us in many ways, they can control the migration of the human population from one city to another in search of employment and basic needs. In India, the government should focus on creating smart villages rather than smart cities. Around 69% of the population lives in the villages, and they do not have the basic amenities like electricity, clean drinking water, roads, transportation, and a source of employment.

This paper proposes a maximum power point tracker (MPPT) for a photovoltaic panel, that is to be integrated with the panel during manufacturing. The MPPT is inexpensive, efficient and has few components that serve to increase the MPPT's mean time between failures (MTBF). The MPPT uses an inexpensive microcontroller to perform all of its functions. This includes maximum power point tracking, series battery voltage regulation, sensorless short circuit protection of the MPPT's converter and intelligent shutdown and wakeup at dusk and dawn. The MPPT can source 10 A to a 6-36 V lead-acid storage battery and can be connected in parallel or series with other MPPTs. The MPPT may be easily configured to perform output voltage regulation on passive and water pumping loads. It could also control the actuation of a diesel generator in a hybrid remote area power supply (RAPS). Energy transfer enhancements of up to 26%, compared to solar panels without MPPTs, have been measured, The complete component and materials cost of the MPPT is approximately 2.8% of the cost of photovoltaic panels with a peak power rating of 154 W. The integrated MPPT also consumes no stored energy at night.

The power output of solar photovoltaic (PV) systems depends on solar irradiance, temperature, load impedance, and so on. The intermittency of these parameters causes fluctuation in power output. The maximum power point tracker (MPPT) tracks the maximum power point (MPP) in the solar panel and generates maximum output power in all fluctuating conditions. A simulation-based comparative analysis is presented in this paper between perturb and observe (P&O), incremental conductance (INC), and particle swarm optimization (PSO)-based MPPT of a solar PV system. The output in MATLAB/Simulink simulation implies that PSO-based MPPT has the maximum efficiency of 99.85%, where INC-based MPPT has the lowest efficiency of 99.6%. The PSO-based MPPT works fluently in partially shaded and varying atmospheric conditions than others and generates no oscillations. This emphasizes that the PSO is more efficient to find MPP compared to P&O and INC-based MPPT.

This paper presents a maximum power point tracking (MPPT) controller employing a modified hill top algorithm implemented using embedded microcontroller for solar photovoltaic (PV) module. The proposed MPPT algorithm has high efficiency compared to conventional hill top algorithm in terms of transferring power from source to load. The designed controller regulates the output voltage through control of the DC-DC boost converter under varying environmental conditions. The comparative result for hill top and modified hill top algorithm based on the proposed MPPT controller has been obtained through the simulation studies in PSCAD/EMTDC software. The validity of the proposed modified hill top algorithm has been obtained through experimental implementation of the MPPT controller on a solar PV module driving a load.