In the competitive electric power market allowing open access transmission environment, knowledge of available transfer capability (ATC) is very important for optimum utilization existing facility. ATC information conveys how much can be transmitted through network over and above already committed usage without violation system security limits. This paper presents a Levenberg-Marquardt algorithm neural (LMANN)-based approach fast accurate estimation ATC. System has been estimated both...

In the open-access power market environment, continuously varying loading and accommodation of various bilateral multilateral transactions, sometimes leads to congestion, which is not desirable. a day ahead or spot market, generation rescheduling (GR) one most prominent techniques be adopted by system operator (SO) release congestion. this paper, novel hybrid Deep Neural Network (NN) developed for projecting rescheduled dispatches at all generators. The proposed cascaded combination modified...

In the world wide increasing trend of restructured power system, open access in transmission system and competition generation distribution have introduced a frequently occurring problem congestion. To establish proficient price-based congestion management procedure, nodal pricing strategy is found to be appropriate. From point view, optimal prices are comprised two basic components. First component locational marginal price, that cost supply load losses both. Second price (NCP), charges...

In deregulated power system, assessment and analysis of wheeling prices become a challenging task. Indian sector various network users are based on regional postage stamp method for prices. But due to changed scenario, does not satisfy electricity policy. It is because non linear flow plays an important role decide across transmission lines. So MW-mile real MVA-mile reactive price used now national level. To increase efficiency both methods different optimization techniques be used. this...

Due to world wide restructuring of electric supply industry, assessment and allocation wheeling prices among transmission users has become a crucial task. Wheeling are supposed be distributed over users. Allocation means determination distribution this depends upon the contribution each user in total investment cost. The cost is decided either by owner or Regulatory body. In real scenario, producers customers cost, may variable because it demand relation. This paper presents new approach...

In the deregulated scenario of power system congestion management (CM), in a non-discriminatory open access transmission environment, is most crucial issue for market operator. The associated pricing mechanism based on allocation capacity to determine nodal prices (NCPs), plays very important role establishing an efficient CM procedure. emerging soft-computing intelligent techniques like ANN provides fast, accurate and Nodal pricing, which ensures successful trade competitive spot This paper...

The emerging trend of restructuring in the electric power industry has spawned a need changed pricing mechanism, which can provide correct economic incentives and also facilitate physical operation network. Nodal/locational mechanism spot market is an efficient tool for congestion management, as it provides implicit capacity allocation through bids production/consumption at specific location. In this regard optimal nodal prices be decomposed into two components, locational marginal (LMP)...

This paper proposes a growing radial basis function (GRBF) neural network based methodology for nodal congestion price (NCP) prediction management in emerging restructured power system. An unsupervised learning vector quantization (VQ) clustering has been employed as feature selection technique GRBF well partitioning the system into different zones. ensures faster training proposed and furnishes instant accurate NCP values, useful under real time market environment. A case study of RTS...

In the newly emerged electric supply industry, profit maximizing tendency of market participants has developed problem transmission congestion as most crucial issue. This paper proposes a multiobjective salp swarm algorithm (MOSSA) approach for management (CM), implementing demand side activities. For this, response (DR) and distributed generation (DG) have been employed. willingly reducing demand, called by providing appropriate financial incentives that supports in releasing over critical...

Abstract Continuously varying loading conditions and the cost‐based operation of a competitive power market lead to problem congestion as one most crucial issues. In day‐ahead (PMO), customer participation (CP) generation rescheduling (GR) are effective techniques preferred by system operator eliminate congestion. this paper, cascaded Deep Neural Network (DNN) module has been presented for estimating generated Wind Energy Source (WES) on‐site (OSG) manage The proposed is cascade combination...

Fast and accurate wheeling pricing has emerged as an important issue in the recent competitive power market. Embedded cost-based is well accepted by market, because it based on actual flow of wheeled them. It also recovers fully fixed cost facility installation operation. In this article, metaphor-less Rao-3-based ACOPF, MVA-mile method Bialek tracing been employed to compute prices across various generators loads. market due continuously varying load conditions, computation quite a time...

Wheeling pricing calculation and allocation play a vital role in ensuring equitable efficient utilization of transmission networks electricity markets. Traditional methods often suffer from limitations due to simplified models assumptions, leading suboptimal outcomes. In this research, we propose novel approach based on Deep Reinforcement Learning (DRL) address these challenges. Our objective is leverage the power DRL algorithms learn an optimal wheeling policy that considers dynamic flows,...

As the cost of entire embedded system is large in competitive power market, forecasting future load growth and consequently increasing has become extremely important. For this, calculation incremental necessary subject for any well operated system. In addition, premature detection horizon to reinforcement due uncertain variations also proves beneficial Keeping above context, this paper, an attempt been made find time with additional without power. order apply all mentioned problems correctly...

Due to open access in the restructured power system, events of bus voltage limit violation and transmission line overloading are occurring frequently. These mainly responsible for several incidents major network collapses leading partial or even complete blackouts due this, security monitoring analysis has become a challenging task be performed at energy control centre. A fast accurate method Power Flow (PF) study may able investigate system by determining static states, i.e. magnitude angle...

The research and control of wholesale pricing across each generator consumer is one the most important difficult tasks in deregulated electricity market. Wheeling price management involves calculating, lowering fees, allocating benefits between users (generators consumers) owner transmission. Flow power benefit dividing amongst all trading partners may be modified as best strategy to manage wheeling prices generate money. Because efficient utilization fact that are responsible for paying...

Accurate and instant information about available transfer capability (ATC) is important in competitive electric power markets for providing non discriminatory open access transmission facility. ATC conveys how much can be transmitted through the network over above already committed uses. This paper presents, a Levenberg-Marquardt algorithm based neural (LMANN) approach fast accurate estimation of system with Distributed Computing. Effective input variables have been selected using entropy...