Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration‐based isolated hybrid microgrid with quasi‐oppositional selfish herd optimisation

Abstract

Summary This work is the earliest attempt towards coordinated regulation of both frequency and voltage of an isolated multisource‐based hybrid microgrid with demand response support using a modified selfish herd optimisation. It is a maiden effort to propose a 50‐Hz system frequency‐based hybrid microgrid model, utilising biorenewable sustainable energy sources like sunrays, wind, waste waters, and agricultural and domestic wastes, with available support from demand response contributors for a dual objective of waste and power management. The intermittency of these resources due to climatic variations creates a great challenge to meet the timely consumer demands of the microgrid with reliable quality power supply. To overcome these issues, the performances of the proposed system are studied considering different typical Indian‐climatic scenarios round the year with real‐time recorded data. Initially, the system performances are compared proposing a new objective function called integral square of weighted absolute error in order to minimise the net deviation in system apparent power, using six controllers tuned with four‐popular/recent optimisation algorithms and four‐objective functions in MATLAB. Then, the simulation results are analysed for five different extreme scenarios of both source and load variations in the proposed system using a novel quasi‐oppositional selfish herd optimisation and reported adaptive performances with demand response support. Finally, the sensitivity of the proposed system with variation in system inertia and load damping factor are analysed to study the robustness of the proposed system.

Illustration of demand response supported co‐ordinated system performance evaluation of YSGA optimized dual stage PIFOD‐(1 + PI) controller employed with wind‐tidal‐biodiesel based independent two‐area interconnected microgrid system

“…4 and different decision parameters ( + O pt , −U pt and T st ) values are illustrated in Table 5 for quantitative assessment. In addition, the FODs are deliberated in Table 5 for comparative assessment of different algorithms as formulated by the equation below [39]:…”

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

“…Additionally, implementation of such controller in real-time for ALFC application is a cumbersome process and requires field expertise [8], [10], [11]. Therefore, the gain parameters of classical controllers are obtained using population-based evolutionary computational intelligence approaches such as GA [10], PSO [12], QOHSA [13], GOA [14], HHO [15], HBFO [16], HIF-PS [17], BA [18],QSHO [19]and other numerous approaches for controlling the ACE of interconnected multiarea multi-source power system. The obtained gain values of the controller from the above-mentioned methods have improved the efficiency and robustness of the system.…”

Use of demand response for voltage regulation in power distribution systems with flexible resources

“…The community energy management systems (CEMSs) have been developed in recent years to automatically schedule FRs with dynamic electricity price, and thus save the cost for customers [21]. This provides an alternative method to regulate the distribution system voltage by adjusting the active power in distribution systems [22]. For example, storage devices are used in [23] to regulate the system voltage.…”