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Optimal reactive power planning

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TLDR
In this article, the problem of optimal long-term reactive power planning is decomposed into a P-optimization module and a Q-optimisation module, but in this method both modules use the same generation cost objective function.
Abstract
A new method is presented for optimal long-term reactive power planning. The planning problem is divided in two parts: short-term and long-term planning. In the short-term reactive power planning problem, the real and reactive power is optimally dispatched for the economic operation of a power system. As in other methods, the problem is decomposed into a P-optimization module and a Q-optimization module, but in this method both modules use the same generation cost objective function. The control variables are generator real power outputs for the real power module and generator reactive power outputs, shunt capacitors/reactors, and transformer tap settings for the reactive power module. The constraints are the operating limits of the control variables, power line flows, and bus voltages. The long-term planning is to determine the required investment in reactive power compensation devices. The method economically determines the required compensation to keep system voltage profiles within a prescribed range which may change due to load increase over a number of years. This goal is achieved by reducing the operation cost (fuel cost) and investment cost in the system. The algorithm uses discrete optimal control theory to optimally determine the required annual investment in new reactive power compensation.

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Citations
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Journal ArticleDOI

Reactive Power Optimization Under Interval Uncertainty by the Linear Approximation Method and Its Modified Method

TL;DR: The linear approximation method is formulated using the interval Taylor extension to help solve reactive power optimization problem and the affine arithmetic-based power flow calculation is used to solve the interval power flow equation instead of crude computation based on the interval arithmetic.
Proceedings ArticleDOI

Long-run incremental cost pricing based on nodal voltage spare capacity

TL;DR: This paper proposes long-run incremental cost (LRIC) pricing to reflect the investment cost in network to maintain the quality of supply, i.e. ensuring that nodal voltages are within limits.
Proceedings ArticleDOI

A method for optimal placement of reactive sources & reactive power procurement in competitive electricity markets

TL;DR: In this article, an approach to select the optimal location and proper size of the reactive power sources has been proposed, based on technical as well as economic criteria, where a loss sensitivity index (LSI) has been used to initially select a possible group of buses, where the reactive support is required.
Proceedings ArticleDOI

Long-run incremental cost pricing for the use of network reactive power compensation devices for systems with different R/X ratios

TL;DR: The trend of LRIC-voltage charges on different types of networks is analyzed, providing insights into how charges will change with different R/X ratios.
Proceedings ArticleDOI

Chance-constrained reactive power planning of wind farm integrated distribution system considering voltage stability

Wang Man, +1 more
TL;DR: In this paper, the authors address probabilistic model of wind turbine and uses point estimate method (PEM) as probability power flow calculation methodology and establish reactive power planning optimization formulation of distribution system which involves nodal voltage and branch power constraint as chance-constrained constraints and take distribution system probability voltage stability index as one of the multi-objective functions of the nonlinear optimal programming.
References
More filters
Journal ArticleDOI

Reactive Power Optimization Under Interval Uncertainty by the Linear Approximation Method and Its Modified Method

TL;DR: The linear approximation method is formulated using the interval Taylor extension to help solve reactive power optimization problem and the affine arithmetic-based power flow calculation is used to solve the interval power flow equation instead of crude computation based on the interval arithmetic.
Proceedings ArticleDOI

Long-run incremental cost pricing based on nodal voltage spare capacity

TL;DR: This paper proposes long-run incremental cost (LRIC) pricing to reflect the investment cost in network to maintain the quality of supply, i.e. ensuring that nodal voltages are within limits.
Proceedings ArticleDOI

A method for optimal placement of reactive sources & reactive power procurement in competitive electricity markets

TL;DR: In this article, an approach to select the optimal location and proper size of the reactive power sources has been proposed, based on technical as well as economic criteria, where a loss sensitivity index (LSI) has been used to initially select a possible group of buses, where the reactive support is required.
Proceedings ArticleDOI

Long-run incremental cost pricing for the use of network reactive power compensation devices for systems with different R/X ratios

TL;DR: The trend of LRIC-voltage charges on different types of networks is analyzed, providing insights into how charges will change with different R/X ratios.
Proceedings ArticleDOI

Chance-constrained reactive power planning of wind farm integrated distribution system considering voltage stability

Wang Man, +1 more
TL;DR: In this paper, the authors address probabilistic model of wind turbine and uses point estimate method (PEM) as probability power flow calculation methodology and establish reactive power planning optimization formulation of distribution system which involves nodal voltage and branch power constraint as chance-constrained constraints and take distribution system probability voltage stability index as one of the multi-objective functions of the nonlinear optimal programming.
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