Comparative studies between various power tracing techniques for reactive power allocation

The inability of traditional methods in providing fair and non-discriminatory transmission service pricing has attracted many researchers to streamline the existing methods, or invent some methods that can improve the weakness. Transaction based allocation like MW mile, contract path, and postage stamp allocation are the examples of traditional technique applied by many transmission service providers (TRANSCO) for allocating transmission usage cost among consumers; the generation (GENCO) and distribution (DISCO) companies. Unfortunately, such methods ignore the physical power system constraints such as flow, sink and source constraints that should be taken into account when performing the cost allocation. Thus, a method that can accurately determine the cost of utilizing transmission service while satisfying those constraints has been developed, known as power tracing. This paper tries to conduct an investigation on various power tracing techniques that are based on Artificial Intelligence (AI) based optimization, proportional sharing principle (PSP), and circuit theory. Validation has been performed on IEEE 14 bus reliability test system (RTS) and it is revealed that different power tracing techniques provide different reactive power allocation on consumers.