Abstract
Power grid design and maintenance are conducted to solve the problems caused by load growth over time and to stay within the constraints of voltage drop, power factor, etc. Typically, solutions to these problems are optimised individually. Considering multiple problems simultaneously and applying different solutions require vast design space exploration. This exclusively needs advanced algorithms and complex global optimisation methods which are not easily-applicable in different scenarios. In the state-of-the-art methods, for solving multiple problems simultaneously, these individually optimised solutions are applied sequentially to the power grid. In this so-called uncoordinated method, the final solution may not be optimal solution considering all the variables, since it is considering the overlapping effect of the solutions on the power grid. To validate the compartmentalisation method, a detailed distribution grid has been modeled. After analysing the possible solutions and optimisation, power loss was reduced 45% and total cost decreased by 71%, compared to the uncoordinated method.
Highlights
Introduction and related workSince the beginning of the industrial revolution, the design and maintenance of power grids for the purpose of providing the residential and industrial demands have been very important responsibilities of governments, corporations, utilities, and individuals alike
Efficiency is met through both meeting reliability standards as well as examining where power losses occur significantly, either due to the system operating at a low-voltage level or due to an inability to maintain a high power factor (PF) as desirable, etc
Despite the large total cost of implementing the state-of-the-art uncoordinated method, the results show the most reduction in power loss as a result of over-engineering
Summary
Since the beginning of the industrial revolution, the design and maintenance of power grids for the purpose of providing the residential and industrial demands have been very important responsibilities of governments, corporations, utilities, and individuals alike. Efficiency is met through both meeting reliability standards as well as examining where power losses occur significantly, either due to the system operating at a low-voltage level or due to an inability to maintain a high PF as desirable, etc Not meeting these constraints are considered as power grid problems [7]. We present a novel compartmentalisation-based method to solve multiple problems in the power grid, using the existing optimised single-variable individual solutions for lowering the implementation cost. Nassif et al [19] and Jiang et al 20] discuss the rationale for design automation in energy networks, as well as geographic information system representations of distribution networks In these papers, authors have used single-variable global optimisation to solve each individual power grid problem and uncoordinated method to solve multiple problems. This method requires component databases which contain the possible different types of power grid components to choose from, as well as costing information for the different types of solutions
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