This PhD. research work will aim for the following research objectives associated as
The probable surge in peak demand due to the rising acceptance of EVs creates significant technical challenges, such as voltage imbalances, power loss, and peak demand increments on distribution networks. There are different styles of electric vehicle charging. One is residential charging, which is generally done at the home of consumers in low-voltage Voltage Distribution Networks, and the other is commercial-based, which is done at charging stations in Medium Voltage Distribution Networks. Therefore, both types of charging have a considerable amount of effect on network parameters. Thus, in this objective to assess these impacts on the distribution networks, firstly, the modelling of the distribution network of a particular Indian Urban network will be done, and after the analysis of the EV charging load will be carried out on different parameters
As it is visible, the Indian government has also pledged in the Paris agreement to cut down its Green Houses Gases Emission to nearly half the percentage. Therefore, due to these reasons, there will be initiatives for green House Gas emission-free based transportation. Hence due to these aspects, there will be an exponential increase in the vehicles. In this objective, planning models will be developed, consisting of decision variables and constraints to formulate the objective function. The objective function consists of economic parameters like land cost, cost of installation of chargers, etc., and the electrical-based terms consist of voltage deviation and power loss
minimization. The problem formulation also considers other aspects like waiting of users and their travelling behaviour, and traffic congestion of the transportation network is also considered as this affects the placement of EVCS in the network. Another objective that will be taken into consideration is the accessibility of the charging stations. The accessibility should be maximized as the charging stations must be placed by
considering the population coverage of the urban area. It can be seen that the problem formulation of optimal placement of electric vehicle charging stations is complex and multi-dimensional. It involves several variables, objective functions, and constraints. Due to this complexity, the classical algorithm cannot handle this objective function efficiently and does not guarantee better results. In this objective, a hybrid efficient evolutionary algorithm will be developed to solve the placement problem's objective by considering different planning models. This hybrid algorithm will combine evolutionary methods by combining their advantages. The performance test will be carried out to prove the efficacy and robustness of this algorithm with the other well-established algorithms.
Developing a methodology to investigate the effects of different EV management strategies (e.g., daytime charging, remote control of charging points for network integrity, etc.) on the distribution network Based on the developed spatial models, work will be done to develop various charging strategies, including time of charging and economic aspects. Additionally, network behaviour will be assessed, and various risks
and opportunities related to these charging strategies will be identified. Analyse the effects of EV charging schemes on geographic networks, weigh the advantages, and make suggestions for future infrastructure planning.
It is expected that in future, there will be significant penetration of EV's in Indian cities; hence charging infrastructure will need to expand beyond imagination. This research objective solves the charging station placement problem in the context of Aligarh city, considered an upcoming smart city in government initiatives. The charging station placement is formulated as a multi-objective framework considering cost, operating parameters of the distribution network like voltage stability, power loss, and factors affecting EV driver's ease like accessibility & waiting time in the charging stations and traffic congestion of the transportation network. In this objective, a test system will be formed by mimicking the transportation network of Aligarh and modelling traffic congestion by using probabilistic methods and superimposition of this network with a distribution system, and the algorithm developed will be applied to achieve the said objectives.