Optimisation of costs and carbon savings in relation to the economic dispatch problem as associated with power system operation

Abstract

In this paper, the costs and carbon savings in the Economic Dispatch (ED) problem of the power system operation are optimised. Energy demands and generation are forecast and assimilated using Ensemble Kalman Filter (EnKF). Optimisation is performed using the Ensemble-based Closed-Loop Production Optimisation Scheme (EnOpt). The real energy parameters of thermal units with green generators (wind farm) are used to test the methodology. The ability of the EnKF to predict, and the robustness of the EnOpt to optimise costs and the resultant carbon emissions are demonstrated. The proposed approach addresses the complexity and diversity of the power system and may be implemented in operational conditions of energy suppliers.

Efficient Economic and Resilience-Based Optimization for Disaster Recovery Management of Critical Infrastructures

“…Hence, there is no associated optimization performed in RES in this case. Lau et al [27] provide detailed fuel consumption and cost function in the economic dispatch problem. In contrast, the UC problem deals with coordinations of committable and non-committable state of standby generators, as well as the varied loads, based on hourly (h) intervals of scheduling slots.…”

“…where UR g is the ramp up rate limit and DR g is the ramp down rate limit. The imposed ramping constraint limits the amount of a generating unit within two successive h. That is to say, a generator is not allowed to reach a maximum capacity due to the nature of operations [27].…”

“…Four types of thermal units for microgrid which are non-renewable backup generators are considered in this example with 0.5-1.0 MW capacities, alongside with two mid-scale thermal (2.0 MW capacity each) for MV level grid. Specification of thermal units were originally adopted from Bahramirad [25], Lau et al [27], with implemented modifications to fit the required generations to the load demands.…”