A methodology for optimal power dispatch under a pool-bilateral market

Fernandes, Thelma Solange Piazza; Almeida, K.C.

doi:10.1109/tpwrs.2002.804950

Cited by 24 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Linear programming methods are attractive to operation researchers, because they include the system constraints in their formulation and have no convergence problems as they solve the problem in its primal form. Three major linear programming‐based methods were introduced for the solution of the ED problem in the last 20 years: (i) the simplex method , (ii) the interior‐point method , and (iii) the mixed integer linear programming . Moreover, Lagrangean approaches to deal with constraints may be part of the solution strategy .…”

Section: Methodologiesmentioning

confidence: 99%

“…In , a nonlinear primal–dual interior‐point method is applied to solve the extended OPF model of a pool‐bilateral electricity market. The objective function of the dispatch model in deregulated markets comprises a linear approximation of the generation cost, a linear approximation of the transmission losses, and a linear approximation of a penalty cost for the deviation of the vector of the contracted power from the proposed values.…”

Section: Methodologiesmentioning

confidence: 99%

See 1 more Smart Citation

Recent methodologies and approaches for the economic dispatch of generation in power systems

Ciornei

Kyriakides

2012

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

The new tendencies in the power system organization and the fast-changing technologies in the power industry dictate the need to keep track of the international experience and activities in the field of the modern economic dispatch problem. The goal of this paper was to provide a detailed account for papers published after 1990, the year that saw the beginning of major transformations in the power system organization. A comprehensive survey on mathematical formulations and a general background of methods, analyses, and developments in the field of economic dispatch is presented for the past 20 years based on more than 150 publications. The research literature in the field is classified into sections covering economic dispatch in both regulated and deregulated (reregulated) energy markets and where variable, partial predictable electricity generation is part of the generation portfolio. A database of the most common test systems used in the literature to test different economic dispatch methodologies is also provided.understanding of the problem and of the progress made to date, as well as for the electric utility industry to choose the most relevant solutions for their systems.The idea behind the ED problem is that at the central power control center the load changes are continuously monitored (in real time) and the dispatcher regulates generation (typically only real power is considered) to match the total power generation with the total power demand. This generation regulation is performed in such a manner as to minimize the operating cost while satisfying all the operating constraints. Such constraints may include the load balance, the transmission constraints, the spinning reserve of the system, multiple emission requirements, and minimum upper and lower limits [9][10][11][12]. Important aspects of this optimization problem are that the generation cost of each individual unit is not proportional to the generation level of the respective unit and that the power systems are geographically spread out, and thus, the transmission losses are dependent on the generation and demand patterns and their flow within the system.In deregulated energy markets, the vertically integrated utilities serving their own load are replaced by competing entities in a horizontally integrated environment. The GENCOs are no longer responsible for meeting the daily load cycle, which is now the system operator's (SO) responsibility, but the net sum of a set of transactions is the one that determines the shape of a GENCO's profile. Thus, from the view point of GENCOs, the ED problem may be formulated as a maximization of the profit [11][12][13] or as a minimization of the cost incorporating power wheeling costs [14,15]. Further to the classical formulation of the ED problem, reactive power dispatch may also be considered.According to the newly established regulations toward climate change in many European countries and in the USA [16,17], variable renewable energy sources (RES), such as wind and solar, is expected to increase its penetrati...

show abstract

Section: Methodologiesmentioning

confidence: 99%

Section: Methodologiesmentioning

confidence: 99%

Recent methodologies and approaches for the economic dispatch of generation in power systems

Ciornei

Kyriakides

2012

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

show abstract

“…where Losses is the objective function that minimizes losses; Pg ph,t is the vector of active power generation of each phase ph and scenario t with dimension (3.nb.np × 1); Pd ph,t is the vector of active power load of each phase ph and scenario t with dimension (3.nb.np × 1); Qg ph,t is the vector of reactive power generation of each phase ph and scenario t with dimension (3.nb.np × 1); Qd ph,t is the vector of reactive power load of each phase ph and scenario t with dimension (3.nb.np × 1); Pgd ph,t is the vector of active power generation of distributed generation of each phase ph and scenario t with dimension (3.nb.np × 1); Qgd ph,t is the vector of reactive power generation of distributed generation of each phase ph and scenario t with dimension (3.nb.np × 1); a ph,t is the ratio voltage magnitudes of voltage regulators of each phase ph and scenario t with dimension (3.nreg.np × 1); nreg is the number of voltage regulators; a min and a max are the minimum and maximum voltage magnitude ratio of the voltage regulators with dimension (3.nreg.np × 1); c ph,t is the capacitive susceptance of capacitor banks installed at nc buses with dimension (3.nb.np × 1); Pg min and Pg max are the minimum and maximum limits of the active generation with dimension (3.nb.np × 1); Qg min and Qg max are the minimum and maximum limits of the reactive generation with dimension (3.nb.np × 1); V min and V max are the minimum and maximum limits of voltage magnitude phasor with dimension (3.nb.np × 1); α is the vector of taps adjusted on the primary of DT with dimension (ndt × 1), where ndt is the number of distributer transformers; and α min and α max are the minimum and maximum tap position of the DTs with dimension (ndt × 1). The functions P ph,t x, a ph,t , α .x and Q ph,t x, a ph,t , α .x, which represent the active and reactive power injections of each bus, respectively, are quadratic equations due to the rectangular representation of the voltage phasor [31]. To illustrate this, the vector Pd ph,t (active power load) and the vector Qd ph,t (reactive power load) have the following layout: where Pd k,t i represents the active power load at bus i, phase k, and scenario t, and Qd k,t i represents the reactive power load at bus i, phase k, and scenario t.…”

Section: Formulation Of the Multi-scenario Three-phase Optimal Power mentioning

confidence: 99%

“…In sequence, the Karush-Kuhn-Tucker (KKT) conditions that express the first optimality conditions of the optimization problem are resolved by the application of Newton's method to obtain the solution of the non-linear equations (KKT). This method was selected due to its good performance obtained to solve traditional OPF [31,32] of real systems.…”

Section: Formulation Of the Multi-scenario Three-phase Optimal Power mentioning

confidence: 99%

Voltage Regulation Planning for Distribution Networks Using Multi-Scenario Three-Phase Optimal Power Flow

2019

View full text Add to dashboard Cite

Active distribution networks must operate properly for different scenarios of load levels and distributed generation. An important operational requirement is to maintain the voltage profile within standard operating limits. To do this, this paper proposed a Multi-Scenario Three-Phase Optimal Power Flow (MTOPF) that plans the voltage regulation of unbalance and active distribution networks considering typical scenarios of operation. This MTOPF finds viable operation points by the optimal adjustments of voltage regulator taps and distribution transformer taps. The differentiating characteristic of this formulation is that in addition to the traditional tuning of voltage regulator taps of an active network applied for just one scenario of load and generation, it also performs the optimal adjustment of distribution transformer taps, which, once fixed, is able to meet the voltage limits of diverse operating situations. The optimization problem was solved by the primal-dual interior-point method and the formulation was tested using the IEEE 123-bus system.Energies 2020, 13, 159 2 of 21 Thus, this research adjusted a single-period Three-Phase Optimal Power Flow (TOPF), proposed by the authors of [1], into a multi-scenario formulation that assists the voltage regulation planning of a distribution network, making not only the traditional adjustments of voltage regulators, but also of the distribution transformers taps (DT) that simultaneously satisfy different configurations of load and DG power injections (that depends on the solar incidence, for example) during a typical day.The adjustments proposed in this article considered a large insertion of photovoltaic (PV) generation, which required careful monitoring to not exceed operational limits of the network and equipment. Therefore, to address these questions, it was necessary to act on the step voltage regulators and on the distribution transformers taps that existed along the feeders to control the voltage profile.To do this, the purpose of this article was to propose an optimization problem that applies to a three-phase unbalanced network (besides the conventional control actions, such as voltage regulator taps, as [2]) and DT tap adjustments to monitor the voltage profile, considering not only one point of operation, but a combination of multiple scenarios simultaneously (MTOPF). The consideration of multiple periods (or scenarios) must be made because after the DTs taps are fixed at planned positions, they do not change during the operation time. So, this tap allocation satisfies different conditions of load and DG penetrations (with pre-establishment of a different combination of scenarios) while minimizing the total electrical losses.Besides the description of the MTOPF proposed, some variations of this main idea were developed in a way to validate its results. We also proposed a parametrization of loads and GD insertions that allowed the execution of each scenario individually. This formulation was named PTOPF, and it can confront the results of a single-period f...

show abstract

“…A comparative revision of some of these methods is presented in Refs. [11,28] and an analysis of the results is shown in Refs. [23,24].…”

Section: Introductionmentioning

confidence: 99%

A cooperative game theory analysis for transmission loss allocation

Lima

Contreras

Padilha‐Feltrin

2008

Electric Power Systems Research

View full text Add to dashboard Cite

A methodology for optimal power dispatch under a pool-bilateral market

Cited by 24 publications

References 18 publications

Recent methodologies and approaches for the economic dispatch of generation in power systems

Recent methodologies and approaches for the economic dispatch of generation in power systems

Voltage Regulation Planning for Distribution Networks Using Multi-Scenario Three-Phase Optimal Power Flow

A cooperative game theory analysis for transmission loss allocation

Contact Info

Product

Resources

About