Optimization of Energy Processes in Local Power Supply Systems with Variable Operating Modes

Abstract

The chapter shows that for the analysis of the optimality of processes in local power supply systems (LPSS) are crucial for improvement and further additional development of methods for demand response effectiveness assessment in systems with active consumers. The main differences between the existing LPSS and next generation, based on the Smart Grid concept, mechanisms of influence and effects from implementation of Demand Side Management (DSM) were assessed, what allowed to choose the minimisation of Frieze reactive power QF as a criterion for cost reduction. Proposed method for estimating the impact of uneven electricity consumption on the level of losses in LPSS in contrast to the existing ones, uses modified Frieze QF power decomposition indicators and common determinations of Frieze QF power for an arbitrary time interval, which considers the influence of uneven power levels on electricity consumption, as well as kΔopt, which characterizes the efficiency of regulation and determines the level of suboptimal energy transfer in terms of eliminating its losses. The system of energy efficiency indicators has been expanded by Frieze QF power loss criterion, which assess the influence of uneven electricity consumption factors and operation modes of LPSS for a certain time interval. The obtained values for the calculation of losses from the uneven generation modes and consumption of electricity are used in the case of retrospective, prospective and real-time analysis, changes in cosφ, voltage deviations, the influence of higher harmonic components. A methodology for optimizing power consumption schedules using QF power decomposition in the case of targeted power consumption mode management and implementation of electricity demand management programs is proposed. Methodology is implemented as an algorithms and suitable software for detailed transmission, accumulation, and consumption time period T analysis for management improvement by the distribution system operator (DSO). The LPSS daily electricity consumption schedule optimisation method was improved on the example of residential complex an optimisation problem was formed for prosumers: energy costs reduction and daily consumption schedule optimisation, considering it consumption modes and values of equipment flexibility index kflex.