(1990). ENERGY FUNCTION ANALYSIS FOR POWER SYSTEM STABILITY. Electric Machines & Power Systems: Vol. 18, No. 2, pp. 209-210.

Energy function analysis for power system stability

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models

Parameter estimation of photovoltaic (PV) models from experimental current versus voltage (I-V) characteristic curves acts a pivotal part in the modeling a PV system and optimizing its performance. Although many methods have been proposed for solving this PV model parameter estimation problem, it is still challenging to determine highly accurate and reliable solutions. In this paper, this problem is firstly transformed into an optimization problem, and an objective function (OF) is formulated to quantify the overall difference between the experimental and simulated current data. And then, to enhance the performance of original cuckoo search algorithm (CSA), a novel improved cuckoo search algorithm (ImCSA) is proposed, by combining three strategies with CSA. In ImCSA, a quasi-opposition based learning (QOBL) scheme is employed in the population initialization step of CSA. Moreover, a dynamic adaptation strategy is developed and introduced for the step size without Levy flight step in original CSA. A dynamic adjustment mechanism for the fraction probability (Pa) is proposed to achieve better tradeoff between the exploration and exploitation to increase searching ability. Afterwards, the proposed ImCSA is used for solving the problem of estimating parameters of PV models based on experimental I-V data. Finally, the proposed ImCSA has been demonstrated on the parameter identification of various PV models, i.e., single diode model (SDM), double diode model (DDM) and PV module model (PMM). Experimental results indicate that the proposed ImCSA outperforms the original CSA and its superior performance in comparison with other state-of-the-art algorithms, and they also show that our proposed ImCSA is capable of finding the best values of parameters for the PV models in such effective way for giving the best possible approximation to the experimental I-V data of real PV cells and modules. Therefore, the proposed ImCSA can be considered as a promising alternative to accurately and reliably estimate parameters of PV models.

https://www.mdpi.com/1996-1073/11/5/1060/pdf

A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models

A new stochastic slime mould optimization algorithm for the estimation of solar photovoltaic cell parameters

Increasing demand for electricity has placed heavy stress on power system security. Therefore, this paper focuses on the problem of how to maximize power system static security in terms of branch loading and voltage level under normal operation and even the most critical single line contingency conditions. This paper proposes a hybrid approach to find out the optimal locations and settings of two classical types of flexible AC transmission system (FACTS) devices, namely thyristor-controlled series compensators (TCSCs) and static var compensators (SVCs) for solving this problem. Our proposed approach requires a two-step strategy. Firstly, the min cut algorithm (MCA) and tangent vector technique (TVT) are applied to determine the proper candidate locations of TCSC and SVC respectively so as to reduce the search scope for a solution to the problem, and then the cuckoo search algorithm (CSA) is employed to solve this problem by simultaneously optimizing the locations and settings for TCSC and SVC installation. The proposed hybrid approach has been verified on the IEEE 6-bus and modified IEEE 14-bus test systems. The results indicate that CSA outperforms particle swarm optimization (PSO), proving its effectiveness and potential, and they also show that our proposed hybrid approach can find the best locations and settings for TCSC and SVC devices as an effective way for enhancing power system static security by removing or alleviating the overloads and voltage violations under normal operation and even the most critical single line contingency conditions. Using this hybrid approach, the search space for solution to the problem becomes limited hence the computational burden will be decreased.

https://www.mdpi.com/1996-1073/10/9/1305/pdf

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

A new method for non-unit protection of power transmission lines based on fault resistance and fault angle reduction

An efficiency oriented model of electricity market in transition period

The efficient operation of wholesale market is based on the fair competition of the participants. After the separation of generation and transmission, the generators have to participate in the competition independently. But the differences of their fixed costs may conceal the differences of the variable costs, which may cause that some inefficient generators are even more competitive than the efficient ones. In such case the simple competition on price is not enough to enhance the actual efficiency of the generators, and the electricity deregulation may fail. In this paper, we propose a bi-level model of wholesale market to deal with this typical problem. After normal optimal dispatch, efficiency replacement is designed as the second level to revise the output of the generators. The experiment shows that this model could enhance the generation efficiency and reduce the variable cost obviously, which also confirms the feasibility of the model.

Shengjie Yang

Papers

A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

A new method for non-unit protection of power transmission lines based on fault resistance and fault angle reduction

An efficiency oriented model of electricity market in transition period

A bi-level model of wholesale market in transition period of electricity deregulation