Efficient experience replay based deep deterministic policy gradient for AGC dispatch in integrated energy system

The electrical power system has experienced several changes during the last decade, raised by continuously increasing load demand, rapid depletion in fossil fuels, and newly electrical deregulation policy. In the past, numerous review literatures has been published in the field of Load Frequency Control (LFC), which deals with different and recent control strategies for the successful operation of the power system. Moreover, due to changes in lifestyle, increasing load demand, expansion of industrialization, and environmental issues, Renewable Energy Sources (RES) integration becomes the obvious adaptive choice. Since generation from RES is stochastic in nature and depends upon the weather condition and other aspects at every instant of time. Therefore, high penetration may reflect specific issues regarding voltage instability, frequency stabilization, and reliability obstruction. Hence this issue has been covered effectively in this review work. Furthermore, the work precisely summarized and briefly explained the different scenarios of Energy Storage (ES), micro-grid and Flexible AC Transmission System (FACTS) to explore the possible solutions and future aspects. The merit and demerit of different controllers are also investigated with the help of a comparison's tables and also some other analytical comparisons. The overall study examines an in-depth review of recent technical core aspects for LFC based on classical and modern power system which involves the non-linear model, controller design parameters, soft-computing application, attributes of Load forecasting, as well as integration of RES in a deregulated environment. This effective, comprehensive literature survey is very helpful for researchers to bridge the gap between recent development, implementation, challenges and future trends of RES in LFC. 

A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects

Optimal mileage-based PV array reconfiguration using swarm reinforcement learning

High-efficiency hybrid PV-TEG system with intelligent control to harvest maximum energy under various non-static operating conditions

Modelling, applications, and evaluations of optimal sizing and placement of distributed generations: A critical state-of-the-art survey

Adaptive distributed auction-based algorithm for optimal mileage based AGC dispatch with high participation of renewable energy

Photovoltaic cell parameter estimation based on improved equilibrium optimizer algorithm

Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution

This paper constructs a new bi-objective optimization model of real-time automatic generation control dispatch in a performance-based frequency regulation market. It attempts to simultaneously minimize the total power deviation and the regulation mileage payment via optimally distributing the real-time total generation command to different regulation units. To handle this problem, the efficient non-dominated sorting genetic algorithm II is adopted to rapidly obtain a high-quality Pareto front for real-time AGC dispatch. A dynamic ideal point based decision making technique is designed to select the best compromise solution from the obtained Pareto front according to the minimization of total regulation variation, which can effectively avoid an excessive regulation variation for each unit. Lastly, two testing systems are used to verify the performance of the proposed technique.

Tian Tan

Papers

Adaptive distributed auction-based algorithm for optimal mileage based AGC dispatch with high participation of renewable energy

Photovoltaic cell parameter estimation based on improved equilibrium optimizer algorithm

Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution

Bi-objective optimization of real-time AGC dispatch in a performance-based frequency regulation market