Two-Level Control of Interconnected Power Plants

Miniesy, Samir M.; Bohn, E. V.

doi:10.1109/tpas.1971.292970

Cited by 20 publications

(6 citation statements)

References 6 publications

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“…In the intervention-control approach of Miniesy and Bohn (1971), the cost function J is not modified and the non-linear function F(x) is not fixed as in the interaction-prediction approach. Equations (12) …”

Section: R G Rao and S I Ah80nmentioning

confidence: 99%

“…quasi-linearization) have already been established (Singh and Titli 1978). Miniesy and Bohn (1971) were the first to explore the possibility of implementing two-level algorithms in power systems. However, generation of the intervention control signal at the second level was based on linear search procedures, which have the disadvantage of slow convergence.…”

Section: Magnitude Iterationsmentioning

confidence: 99%

“…A two-level control for a non-linear power system model was first proposed by Miniesy and Bohn (1971). On examining this non-linear model, it is noticed that it belongs to a class of non-linear systems for which the newly developed interaction-prediction approach (Hassan and Singh 1976) can be used effectively.…”

Section: Introductionmentioning

confidence: 99%

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Control of interconnected power systems using two-level methods

Rao¹,

Ahson²

1981

International Journal of Control

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This paper examines the application of a two-level control scheme for a two-area power system model with non-linear interaction between the areas. The first level consists of independent local optimal controllers for the two areas which arc obtained by solving lower-order linear quadratic problems. The second level takes into account the system interactions between the areas using the method of interaction prediction. The two-level control scheme ensures that the performance of the overall power system is optimized. The results obtained using the interaction. prediction method are compared with those obtained by the method of intervention control. A two-area power system represented by a Ilt.h-order non-linear statespace model is used to illustrate the relative merits of the interaction-prediction approach.

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Section: R G Rao and S I Ah80nmentioning

confidence: 99%

Section: Magnitude Iterationsmentioning

confidence: 99%

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Control of interconnected power systems using two-level methods

Rao¹,

Ahson²

1981

International Journal of Control

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“…That is especially important when unexpected load requirements arise. [1][2][3] In a traditional scenario, a vertically integrated utility owns all the segments of electrical energy. In a deregulated power scenario, several independent players have been introduced, including power distribution companies (DISCOs), power generation companies (GENCOs), power transmission companies (TRANSCOs), and an independent system operator (ISO).…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of optimal AGC regulator for multi‐area power systems with TCPS and energy storage unit in deregulated environment

Mishra,

Kumar,

Chaturvedi

2024

Optim Control Appl Methods

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In today's electric power network, fast changes are the norm, and auxiliary services such as automatic generation control (AGC) play a crucial role in maintaining the quality of the power supply. AGC ensures a balance between power generation, demand, and losses to sustain frequency stability and variation in tie‐line power within a set limit, even when the load changes. To accomplish this, it is always beneficial to consider new approaches to controlling the situation. This paper introduces the design of new AGC regulators that consider deviation in DC tie‐line power as an extra control variable for the turbine controller. In this study, three different deregulated power systems (containing two control areas), namely three thermal generations, the combination of one thermal and two hydro generations, and three hydro generations, including two power distribution companies (DISCOs) in each control area. These optimal AGC regulators are implemented in the proposed thermal–thermal–thermal system to carry out the various power contracts. The results have shown that the dynamic outcomes meet the AGC standards. To improve further dynamic results and the proposed systems' stability margins by incorporating redox flow batteries (RFB). In actual operating conditions, the system parameters do not remain constant due to the aging effect, assumptions made in simplifying the mathematical model, etc. Thus, ±50% deviations in the nominal value of system parameters to assess how well the optimal AGC regulators perform in the system under investigation. The suggested realistic AGC system incorporates many parameter fluctuations and works well with the optimal AGC regulators developed for the proposed plans. This study expanded to include a two‐area, thermal‐hydro‐hydro (THH) system under a deregulated framework connected via an asynchronous transmission link with or without a thyristor‐controlled phase shifter (TCPS) and RFB. The genetic algorithm (GA) can solve many issues and has global search, flexibility to varied problem types, intrinsic parallelism, and the ability to handle massive, complex search spaces. Thus, a two‐area deregulated hydro‐hydro‐hydro system with parallel tie‐lines utilizes GA‐PID, GA‐FOPID, and GA‐(1 + PI)‐FOPID controllers. Moreover, a random load disturbance (RLD) is employed in each section of the offered approach to show the resilience and elite performance of the proposed control strategy. To produce various dynamic reactions in the plans, MATLAB software version R2013a is employed.

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“…Therefore the most important factor of control strategy in power system is to maintain the frequency and net power interchanged between the area at their acceptable and rated value. A numerous study has been performed for interconnected power system [3][4][5][6][7][8][9][10][11][12]. Since we know that various load like testing plant nuclear fusion, steel factories, heavy industries etc.…”

Section: Introductionmentioning

confidence: 99%

Genetic algorithm based controller for Load-Frequency Control of interconnected systems

Shankar

Chatterjee

2012

2012 1st International Conference on Recent Advances in Information Technology (RAIT)

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The main objective of this paper is to analyze the Load Frequency Control(LFC) of a two-area interconnected hydrothermal system considering a Thyristor Controlled Phase Shifter(TCPS) in series with the tie-line . The proposed controller are tested for a two area hydrothermal system considering the practical aspect of the problem such as Deadband and Generation Rate Constraint (GRC) etc. First of all, modeling of the two area hydrothermal system is performed and then there is a installation of TCPS incorporated with Tie-Line. After it, TCPS control scheme is implemented in the given two area power system. Here we consider the ISE (Integral Square Error) as a objective function which is to be minimize and by using optimization technique via Genetic Algorithms, hence, minimize the system error and corresponding integral gain of the system is obtained for stabilization of system frequency deviation as well as net tie-line power flow of the two area hydrothermal system kept within the normal operating range.

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Two-Level Control of Interconnected Power Plants

Cited by 20 publications

References 6 publications

Control of interconnected power systems using two-level methods

Control of interconnected power systems using two-level methods

Design and analysis of optimal AGC regulator for multi‐area power systems with TCPS and energy storage unit in deregulated environment

Genetic algorithm based controller for Load-Frequency Control of interconnected systems

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