Naveen

Bio: Naveen is an academic researcher from Amrita Vishwa Vidyapeetham. The author has contributed to research in topics: Smart grid & Grid. The author has co-authored 1 publications.

Hierarchical Control of Community Grid for Residential Houses

Abstract: The recent advancements in renewable energy technologies is empowering residential consumers to meet their energy requirements from locally installed renewable energy devices and energy storage devices. In this context, the adjacent microgrids can interact and share these resources using a stable strategy through which economic, environmental and operational advantage can be gained. In this paper a three-level hierarchical control is introduced into residential houses to effectively share the power between houses coming under the community microgrid in such a way that users will get power at an optimized price. The hierarchical control algorithm is developed for primary control (Local control center), secondary control (Microgrid control center) and tertiary control (Upstream control). This paper shows that implementing hierarchical control for the residential distributed generation paves way for the power-sharing across different community grids thereby upgrading the existing AC smart grid operation.

Energy Audit in an Urban Indian Residential Community-A Case Study

Abstract: This paper presents an energy audit study conducted for an urban residential community in Mumbai. The consumers are categorized using a k-means clustering algorithm based on their electricity consumption. The energy-efficient appliance selection is undertaken by a benchmarking study based on the appliance energy labeling and star rating initiated by the Bureau of Energy Efficiency(BEE) in India. The study establishes the techno-economic feasibility of energy savings in Indian urban households with an average payback period of 3.3 years. The energy-saving opportunities are selected based on each cluster’s capital cost and payback period. Sensitivity analysis of electricity tariff of a region on payback period is undertaken. The covid impact analysis on the residential energy consumption is conducted by comparing energy consumption before and after the covid. The benefits are replicable in most Indian households, especially the urban residential consumers with high consumption in regions with high electricity tariffs.

Metaheuristic Based MPPT Control for Solar PV Systems Under Partial Shading Conditions

Abstract: Partial shading significantly impacts a PV array’s ability to generate power. The array’s modules will produce various row currents.Thus the panels must be modified for row current difference minimization to maximize the power extraction from the PV array. Under uniform insolation, conventional Maximum Power Point Tracking (MPPT) Hill climbing approaches such as Perturb and Observe and Incremental Conductance(INC) can effectively track the maximum power point, but they fail under partial shaded conditions. Physical panel relocation may involve time-consuming operations and extensive interconnection ties. Meta-Heuristic algorithms for effective shadow dispersion is an appealing approach. In this paper, an MPPT control method based on meta-heuristic Grey Wolf Optimization (GWO)is implemented in a Triple Tied (TT) configuration to track the global maximum power point(GMPP) under 5 distinct partial shading scenarios.The performance indices such as mismatch power, fill factor and convergence time of GWO results are compared with INC, Particle Swarm Optimization(PSO) and Horse Herd Optimization(HHO) algorithms. The GWO approach is found to perform better than INC,PSO and HHO in tracking the GMPP with better accuracy and less computational time in all shading conditions.