Contribution of Demand Side Management to Angular and Frequency Stability of Transmission Networks

Abstract

Demand side management (DSM) has become one of the most popular solutions to enhance and improve operational flexibility of future power systems, which are characterised by ever-growing variability and uncertainty caused by the integration of renewable energy source (RES)-based power generation and the evolution of customer appliances. By manipulating power consumption patterns of demand, DSM pushes systems to new operating points with altered stability performance. Hence, comprehensive power system stability assessments are essential to assess the impact of advanced DSM on power system flexibility and stability. The first part of this thesis focuses on comprehensive power system stability assessment from both angular (including small disturbance and large disturbances) and frequency stability aspects simultaneously based on proposed composite stability indices. Proposed composite stability indices are adopted to assess the impacts of integration of RES-based generation and different load models on combined system stability performance by considering simultaneously the distances to corresponding stability limits while relying on calculations of widely adopted stability indices for different stability aspects. Thus, proposed composite stability indices provide an efficient assessment and comprehensive measure of system stability performance and can facilitate the understanding of the impacts of existing and future technologies and stability enhancement solutions on the combined stability performance of the power system. The second part of this thesis adopts proposed composite stability indices to investigate the impacts of advanced DSM on combined system stability performance at transmission level based on a Monte Carlo Simulation (MCS)-based probabilistic analysis method, taking account of uncertainties from RES-based generation, system demand and system faults. The advanced DSM, developed based on typical flexible processes from large industrial customers and distribution networks and corresponding demand payback effects, changes not only magnitudes, but also load compositions of power system demand. Critical factors (e.g., models of system demand) that affect the impact of advanced DSM on combined system stability are also identified by a rage of case studies developed with different operating conditions (e.g., RES baseline). The second part of this thesis aims to deliver a more comprehensive and inclusive understanding of the advanced DSM such that future DSM programs can be planned and implemented more efficiently without endangering power system stability performance.

Date of Award	1 Aug 2022
Original language	English
Awarding Institution	The University of Manchester
Supervisor	Jovica Milanovic (Supervisor) & Mathaios Panteli (Supervisor)