This paper presents a Harmony Search Algorithm to seek the optimal solution of the unit maintenance scheduling. For the maintenance scheduling, cost reduction is as important as reliability. The objective function of this algorithm considers the effect of economy as well as reliability. Various constraints such as spinning reserve, duration of maintenance crew are being taken into account. We a...

In this paper, BAT Algorithm is proposed to solve thermal unit commitment (UC) problem. The objective of UC is to determine the optimal generation of the committed units to meet the load demand and spinning reserve at each time interval, such that the overall cost of generation is minimized, while satisfying different operational constraints. BAT is a new cooperative agents approach, which is i...

Short-term load forecasting (STLF) is an essential procedure for effective and efficient realtime operations planning and control of generation within a power system. It provides the basis for unit-commitment and power system planning procedures, maintenance schedul‐ ing, system security assessment, and trading schedules. It establishes the generation, capaci‐ ty, and spinning reserve schedules...

| A framework for static security pricing in a re-regulated utility environment is presented. The eventual goal is to determine the marginal value of security resources, such as spinning reserve, voltage support, ramp rate ability, etc., in maintaining system security. The basic problem statement is presented in a form already decomposed into a master problem and contingent subproblems, which a...

This paper presents a transmission-constrained unit commitment method using a Lagrangian relaxation approach. Based on a DC power flow model, the transmission constraints are formulated as linear constraints. The transmission constraints, as well as the demand and spinning reserve constraints, are relaxed by attaching Lagrange multipliers. A three-phase algorithmic scheme is devised including d...

Short Term Load Forecasting(STLF) varies from an hour to hour and is used for requirement for control, unit commitment, security assessment, optimum planning of power generation, and planning of both spinning reserve and energy exchange, also as inputs to load flow studies and contingency analysis. Artificial neural networks (ANN’s) has drawbacks like inputs nodes or hidden nodes which can caus...

he adjusted monetary base is an index that measures the effects on a central bank’s balance sheet of its open market operations, discount window lending, unsterilized foreign exchange market intervention, and changes in statutory reserve requirements. Such an index is important because the long-run path of a monetary economy’s price level is primarily determined by the path of the central bank’...

Renewable energy sources are constantly increasing in the modern power systems. Due to their intermittent and uncertain potential, increased spinning reserve requirements needed conserve reliability. On other hand, each action towards efficiency improvement cost reduction contradicts participation of variable resources mix, requiring more accurate tools for optimal unit commitment. By renewable...