KKT Optimality Conditions for Multiobjective Optimal Control Problems with Endpoint and Mixed Constraints: Application to Sustainable Energy Management

TL;DR

This paper develops first and second-order KKT optimality conditions for multiobjective optimal control problems with constraints, and applies these results to sustainable energy management in smart grids.

Contribution

It introduces new optimality conditions for complex multiobjective control problems with constraints and demonstrates their application to sustainable energy systems.

Findings

Derived KKT conditions for multiobjective control problems with constraints.

Provided sufficient conditions for multiplier normality.

Applied theoretical results to sustainable energy management in smart grids.

Abstract

In this paper, we derive first and second-order optimality conditions of KKT type for locally optimal solutions to a class of multiobjective optimal control problems with endpoint constraint and mixed pointwise constraints. We give some sufficient conditions for normality of multipliers. Namely, we show that if the linearized system is controllable or some constraint qualifications are satisfied, then the multiplier corresponding to the objective function is different from zero. To demonstrate the practical relevance of our theoretical results, we apply these conditions to a multiobjective optimal control problem for sustainable energy management in smart grids, providing insights into the trade-offs between cost, renewable energy utilization, environmental impact, and grid stability.