This paper proposes a methodology for optimal operation of railway electric energy systems considering renewable sources (PV panels and wind turbines), regenerative braking capabilities hybrid storage (ultracapacitors batteries). The uncertainties associated to energies are taken into account through scenario tree approach. All these elements integrated multi-period AC power flow problem. problem is then cast as large-scale nonlinear optimization aim study the potential economic savings well...

This paper presents a mixed-integer linear programming (LP) formulation for the long-term transmission expansion planning problem in competitive pool-based electricity market. To achieve optimal while modeling market functioning, we define number of scenarios based on future demand system and simulate maximization aggregate social welfare. Investment operating costs, losses generator offers, bids are considered. We propose to use set metrics rate effect generators, demands, as whole. The...

This paper addresses the self-scheduling problem faced by a price-maker to achieve maximum profit in pool-based electricity market. An exact and computationally efficient mixed-integer linear programming (MILP) formulation of this is presented. models precisely capability altering market-clearing prices its own benefits, through price quota curves. No assumptions are made on characteristics pool agents. A realistic case study presented results obtained analyzed detail.

<?Pub Dtl=""?> The problem of optimally sizing hybrid energy storage systems (HESS) installed in electric railway systems, considering the effect regenerative braking is studied this paper. HESSs combine traditional batteries and newly developed ultracapacitors, taking advantage high capacity flexibility ability to capture power density ultracapacitors. A novel mixed integer linear programming formulation that includes counting battery cycles presented. Some particularities operation are...

This paper proposes a simple multiarea decentralized state estimation procedure. procedure allows estimating the of electric energy system while preserving independence each area. Information interchange among area operators reduces to just border information. The proposed algorithm is both and robust. developed illustrated through several case studies carried out using IEEE Reliability Test System. Conclusions are duly drawn

Precise online lithium-ion battery state of health estimation is critical for the correct operation and management battery-based energy storage systems such as microgrids electric vehicles. However, in applications it necessary to maintain standard therefore difficult experimentally determine. Advancements machine learning techniques capabilities allow precise efficient data-driven predictions. In this paper we propose a simple, yet effective model based on extraction features observed from...

Massification of Electric vehicles (EVs) is becoming a worldwide reality as means to combat climate change and local pollution. Considering that most the time are in parking places, there an opportunity for using EVs provide some valuable services power network. In particular, can ancillary electricity markets through aggregating agent. To this end, aggregators need develop decision support tools optimally allocate energy regulation resources considering network constraints. Unlike...

Power generation from renewable sources has greatly increased in the last decade. Accordingly, planning of power system expansions must incorporate special features these types energy sources. Long-term transmission expansion usually does not take differences among into account because long period considered. However, modelling may influence optimal plan. In this study, authors propose a methodology for long-term that incorporates costs associated with operation wind plants. particular,...

The target of an oligopolistic generating company in a pool-based electric power market is to maximize its profits using two related instruments at hand: (1) ability modify the market-clearing price; and (2) capability alter own production level. Power balance not issue for company; independent system operator ensures considering generator demand bids through any procedure. This paper proposes mathematical model determine output generators owned by so that profit maximized one-day one-week...

The massive development of energy storage systems (ESSs) may significantly help in the supply–demand balance task, especially under existence uncertain and intermittent sources energy, such as solar wind power. Using ESSs complements renewable generation has technical economic consequences both short‐term operation long‐term expansion planning grid. authors propose a transmission model that incorporates decisions about generic ESS units order to study interaction between penetration location...

This paper simulates a pool-based electricity market and identifies equilibrium patterns. A multiperiod framework that requires the use of continuous binary variables is considered. Producers can be either price-takers or price-makers, although price-makers their behavior characterize market. The elasticity loads modeled through piecewise constant price-demand curves. operator uses detailed network-constrained market-clearing auction results in hourly prices. participants itself are...

The problem of sizing an electrochemical energy storage system for renewable integration is a complex task. There are several input parameters that must be taken into account correct design. Among them, the ageing characteristic technology, service provides, i.e. power profile faces and desired C‐rate considered. A simple solution this not available in literature. This study presents yet robust optimisation‐based model integration. explicitly takes intrinsic battery process. authors propose...

This paper presents a successful lab experience to teach pool-based electricity markets power engineering students. Students are arranged in groups and assigned, at random, set of generators. They play the role producers compete against each other with target maximizing their own profits. The instructor plays market operator. A simulator computer communication network make it possible simulate actual functioning market. elements that have made this educational described analyzed. Several...

This paper presents a successful lab experience to teach pool-based electricity markets power engineering students. Students are arranged in groups and assigned, at random, set of generators. They play the role producers compete against each other with target maximizing their own profits. The instructor plays market operator. A simulator computer communication network make it possible simulate actual functioning market. elements that have made this educational described analyzed. Several...