Abstract:A negative flow-sharing approach to allocate transmission transaction charges among users of transmission services is proposed. The approach uses the properties of the MW-mile method but takes into account the economic benefits of both trading parties by analysing their shares in negative power flow or counterflow. This approach is incorporated with the justified distribution factor for power flow tracing purposes. Two case studies based on a 5-bus system and an IEEE 14-bus system are used to illustrate the pr… Show more
“…This factor, which is derived in Ref. [16], has advantages over the original distribution factors [17], whereby the elements in the distribution matrix do not vary with the reference bus position [18]. In this paper, JDF is formed by adding a justification factor J ij to the original DFs, so that distribution factors for line iej at bus i and bus j have the same magnitudes but opposite signs, where mathematically [16]:…”
Section: Justified Distribution Factors (Jdf)mentioning
confidence: 99%
“…[18], JDF is used to trace the power flows in transmission lines for the base case and transaction-related flows. The power flow in line i can be traced using (4):…”
Section: Justified Distribution Factors (Jdf)mentioning
a b s t r a c tThe expanded Renewable Energy Target (RET) scheme has been introduced by the Australian government which targeting 20% of Australia's electricity supply is generated from renewable sources by 2020. Consequently, this will drive large changes which will effect on behaviour and investment in Australia's market environment especially transmission use of system (TUoS) charging scheme. Hence, this paper is intended to explore the existing TUoS charging methodologies in the Australian National Electricity Market (NEM) to the development of renewable generation. There are some aspects related to the existing TUoS charging methodology which can be improved especially in the issues of transmission usage evaluation, percentage of transmission services allocation for the market users and also the transmission pricing methods. Therefore, in this paper, novel transmission pricing methodologies and mathematical formulation of the proposed approaches were introduced. There are two proposed schemes for allocations of TUoS charges for the renewable energy which called Distribution Factors Enhanced Transmission Pricing (DFETP) capacity-based method and DFETP energy-based method. Both methods were tested on the 59-bus system of the South East Australian power system in order to determine which approach provides a better TUoS charges allocation scheme.
“…This factor, which is derived in Ref. [16], has advantages over the original distribution factors [17], whereby the elements in the distribution matrix do not vary with the reference bus position [18]. In this paper, JDF is formed by adding a justification factor J ij to the original DFs, so that distribution factors for line iej at bus i and bus j have the same magnitudes but opposite signs, where mathematically [16]:…”
Section: Justified Distribution Factors (Jdf)mentioning
confidence: 99%
“…[18], JDF is used to trace the power flows in transmission lines for the base case and transaction-related flows. The power flow in line i can be traced using (4):…”
Section: Justified Distribution Factors (Jdf)mentioning
a b s t r a c tThe expanded Renewable Energy Target (RET) scheme has been introduced by the Australian government which targeting 20% of Australia's electricity supply is generated from renewable sources by 2020. Consequently, this will drive large changes which will effect on behaviour and investment in Australia's market environment especially transmission use of system (TUoS) charging scheme. Hence, this paper is intended to explore the existing TUoS charging methodologies in the Australian National Electricity Market (NEM) to the development of renewable generation. There are some aspects related to the existing TUoS charging methodology which can be improved especially in the issues of transmission usage evaluation, percentage of transmission services allocation for the market users and also the transmission pricing methods. Therefore, in this paper, novel transmission pricing methodologies and mathematical formulation of the proposed approaches were introduced. There are two proposed schemes for allocations of TUoS charges for the renewable energy which called Distribution Factors Enhanced Transmission Pricing (DFETP) capacity-based method and DFETP energy-based method. Both methods were tested on the 59-bus system of the South East Australian power system in order to determine which approach provides a better TUoS charges allocation scheme.
“…The total wheeling charges for transaction T1 is obtained by (7). The cost for each line Cm-n is assumed as thevalue of line reactance for that line multiplied by 1000 in $/hr.…”
Section: (1) Bilateral Transaction (T1) Of 20 Mw Between Seller Bus 2mentioning
confidence: 99%
“…Different cases of-mile method is discussed in [7]. In order to meet the system reliability, stability and security criteria all the market participants have to pay for the actual capacity use and for the additional reserve [8].…”
Abstract:In deregulated power system due to the increase of power transactions in transmission open access the transmission cost allocation is one of the major problems. For each transaction the Transaction Impact Factors (TIFs) are developed for the allocation of the transmission transaction costs. The transmission Impact Factor gives the information about the real power flow in the transmission lines with the transacted power. This logical method provides the impact of the line flows without running power flow solutions when the amount of transacted power changes in real time. This proposed method is evaluated by considering bilateral and multilateral transactions. The results coming from the proposed method is compared with Megawatt Modulus (MM) method on sample six bus and IEEE 30 bus system.
“…A more complete study was carried out in [14], where impact of operational aspects on losses variations and acceptable DG penetration levels are analyzed, based on a specific case study. Reference [15] investigates the impact of distributed generation on distribution losses. Such valuable studies can help distribution utilities to set laws which result in desired point of DG penetration level.…”
Abstract. Cost of annual energy loss occurs in distribution networks is an important issue in distribution systems planning, design and operation & discos are pleased to be informed about financial worth of loss extract from their profit to evaluate economic feasibility of improvement projects. there are several dominating factors involved in distribution loss cost evaluation, but most of the times price of loss occurs in distribution systems is calculated regardless of location, consumption pattern and etc, but recent changes in Iran distribution power system including removing energy subsidies, deregulation, increase in distributed generation units and trend toward loss reduction had been resulted in much more importance to have actual price of distribution network losses. In this paper, Distributed generation units penetration level influence on distribution networks worth of loss is investigated, power delivered to distribution systems from these resources is directly connected to loads and no transmission cost is involved, in the proposed formulation this difference between centralized and decentralized generation is covered. It is shown that distribution worth of loss follow a U-shape trajectory by increase in distributed generation units' penetration level.
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