Novel fuzzy-based control strategy for standalone power systems for minimum cost of electricity in rural areas

2019 ◽  
Vol 31 ◽  
pp. 199-211 ◽  
Author(s):  
Eu-Tjin Chok ◽  
Yun Seng Lim ◽  
Kein Huat Chua
Keyword(s):  
Power Systems ◽  
Control Strategy ◽  
Rural Areas ◽  
Minimum Cost ◽  
Cost Of Electricity

Optimal sizing of photovoltaic—battery power systems in a remote region in Kerman, Iran

2009 ◽  
Vol 223 (5) ◽  
pp. 563-570 ◽  
Author(s):  
I Baniasad Askari ◽  
M Ameri
Keyword(s):  
Power Systems ◽  
Rural Areas ◽  
High Reliability ◽  
Optimization Procedure ◽  
Minimum Cost ◽  
Energy System ◽  
Optimization Method ◽  
Solar Array ◽  
Remote Region ◽  
Cost Of Energy

A solar energy system is an excellent solution for electrification of remote rural areas where the grid extension is difficult and not economical. This article presents a simple optimization method for calculating the optimum configurations of photovoltaic—battery (PV—bat) systems with high reliability and minimum cost. The proposed method has been applied to design a PV—bat system to supply a typical load requirement in a remote region in Kerman, Iran. To design an optimum stand-alone PV—bat system with high reliability and low costs, the optimization procedure, which is based on the annual electrical demand and solar radiation data, consists of two parts: the model of loss of power supply probability (LPSP) and the model of the levelized cost of energy. For the different desired LPSP requirements at given demand, the optimal numbers of solar array and battery hours of storage are obtained at the minimum system cost.

scholarly journals Implementation of talis and dc house system for rural areas in indonesia

2018 ◽  
Vol 218 ◽  
pp. 01006 ◽  
Author(s):  
Aryani Dwi Riana ◽  
Faiz Hunsnayain ◽  
Edward Andres Pramana ◽  
Hwachang Song ◽  
Pambudi Yoyok Dwi Setyo ◽  
...  
Keyword(s):  
Rural Communities ◽  
Power Plant ◽  
Power Systems ◽  
Rural Areas ◽  
Distribution Systems ◽  
Renewable Energy Sources ◽  
Cost Comparison ◽  
Electricity Production ◽  
Chain Process ◽  
Cost Of Electricity

In 2017, the aggregate electrification ratio in Indonesia has been achieving 92.8%. However, some rural areas such as in Maluku and Papua Islands still have low electrification ratio (~70%). One of the main problems in supplying electricity to rural areas in Indonesia is the geographical concern which consisted of islands leading to the difficulty of electricity grid development. In some areas, diesel power plant has been being built to supply the electricity. However, it causes another problem to transport the primary energy source to the targeted area which would increase the cost of electricity supply. Besides, it also needs investment cost to build transmission and distribution systems, as well as the maintenance expenses. To resolve this issue, a new scheme of battery-based Tabung Listrik or TaLis (DC-based power bank) and DC house system is proposed to be the solution to provide electricity to rural areas. The potential of local renewable energy sources such as biomass, hydro, wind, and solar could be utilized to be charging sources of batteries (TaLis). This study presents the TaLis prototype, DC house installation, supply chain process and charging scheme of TaLis, and cost comparison between the proposed system with other existing power systems such as communal PV farm and diesel power plant. We found that TaLis and DC house system provided the least cost of electricity production compared to other power systems, i.e. $0.88/kWh for TaLis and DC house system, $1.65/kWh for diesel power plant, and $1.47/kWh for communal PV farm. Implementation of this approach is expected to improve the welfare and quality of life of rural communities immediately.

scholarly journals A Technical Review on Self-Healing Control Strategy for Smart Grid Power Systems

2021 ◽  
Vol 1055 (1) ◽  
pp. 012153
Author(s):  
D Sarathkumar ◽  
M Srinivasan ◽  
Albert Alexander Stonier ◽  
Ravi Samikannu ◽  
Narasimha Rao Dasari ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Control Strategy ◽  
Self Healing ◽  
Technical Review

scholarly journals Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4466
Author(s):  
Maël Riou ◽  
Florian Dupriez-Robin ◽  
Dominique Grondin ◽  
Christophe Le Loup ◽  
Michel Benne ◽  
...  
Keyword(s):  
Power Systems ◽  
Rural Areas ◽  
Energy System ◽  
Design Stage ◽  
Multi Objective Optimization ◽  
Renewable Energy Resources ◽  
Nsga Ii ◽  
Renewable Integration ◽  
Multi Objective ◽  
Trade Offs

Microgrids operating on renewable energy resources have potential for powering rural areas located far from existing grid infrastructures. These small power systems typically host a hybrid energy system of diverse architecture and size. An effective integration of renewable energies resources requires careful design. Sizing methodologies often lack the consideration for reliability and this aspect is limited to power adequacy. There exists an inherent trade-off between renewable integration, cost, and reliability. To bridge this gap, a sizing methodology has been developed to perform multi-objective optimization, considering the three design objectives mentioned above. This method is based on the non-dominated sorting genetic algorithm (NSGA-II) that returns the set of optimal solutions under all objectives. This method aims to identify the trade-offs between renewable integration, reliability, and cost allowing to choose the adequate architecture and sizing accordingly. As a case study, we consider an autonomous microgrid, currently being installed in a rural area in Mali. The results show that increasing system reliability can be done at the least cost if carried out in the initial design stage.

scholarly journals Instantaneous Power Control Strategy for Voltage Improvement in Power Network Equipped by Wind Generator

2021 ◽  
Vol 54 (1) ◽  
pp. 147-154
Author(s):  
Issam Griche ◽  
Sabir Messalti ◽  
Kamel Saoudi
Keyword(s):  
Power Systems ◽  
Power Control ◽  
Wind Power ◽  
Control Strategy ◽  
Large Scale ◽  
Transient Stability ◽  
Short Circuit ◽  
Dynamical Response ◽  
Instantaneous Power ◽  
Wide Range

The uncertainty of wind power brings great challenges to large-scale wind power integration. The conventional integration of wind power is difficult to adapt the demand of power grid planning and operation. This paper proposes an instantaneous power control strategy for voltage improvement in power networks using wind turbine improving the dynamical response of power systems performances (voltage and transient stability) after fault. In which the proposed control algorithm based on a new advanced control strategy to control the injected wind power into power system. The efficiency of developed control strategy has been tested using IEEE 9 Bus. Simulation results have showed that the proposed method perform better to preserve optimal performances over wide range of disturbances for both considered scenarios studied short circuit and variable loads.

scholarly journals Multiobjective Electrical Power Dispatch of Thermal Units with Convex and Non-Convex Fuel Cost Functions for 24 Hours Load Demands

2020 ◽  
Vol 9 (3) ◽  
pp. 1534-1542
Keyword(s):  
Power Systems ◽  
Electrical Power ◽  
Economic Dispatch ◽  
Operating Cost ◽  
Load Condition ◽  
Minimum Cost ◽  
Electricity Sector ◽  
Operating Characteristics ◽  
Total Load ◽  
Gaseous Emission

There are a host of difficult issues with scheduling, operation, and control of integrated power systems. The electricity sector is changing rapidly, and one of the most important concerns is deciding operational strategies to meet electricity demand. It is a greater challenge to satisfy customer demand for power at a minimum cost. The operating characteristics of all generators may be different. In general, operating cost is not proportionate to the performance of these generators. Therefore challenge for power utilities to balance the total load between generators. For a specific load condition on energy systems, Economic Dispatch(ED) seeks to reduce the fuel costs of power generation units. Moreover, energy utilities have also an important task to reduce gaseous emission. So the ED problem can be recognized as a complicated multi-objective optimization problem (MOOP) with two competing targets, the minimal cost of fuel and the minimum emissions effects. This paper presented an efficient method, hybrid of particle swarm optimization (PSO) and a learning-based optimization (TLBO) for combined environmental issues because of gaseous emission and economic dispatch (CEED) problems. The results were shown and verified by PSO and TLBO for standard 3 and 6-generator frameworks with combined issues of emission and economic dispatch taking into account line losses and prohibited zones (POZs) on hourly demand for 24 hours

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