Optimization of Smart Energy Systems


The course provides students with mathematic modeling of SES components. Base on the models, optimization methods for SES will be deducted. The solutions for power flows optimization, system reconfiguration optimization, system operation will also be analyzed to get SES better performance and response.

The goal of the course is to equip the student ability for understanding, performing and analyzing optimal power flows as well as optimal operation of SES. Base on the analysis, the optimization of system reconfiguration in order to achieve a single or multiple user-specified objectives (like economic dispatch) should also be obtained.

The course is also objected to select appropriate optimizers /criteria (local vs global ones) for single or multi-objective problems in Power systems.

After finishing the course, students should also have competencies to select the optimal operation modes of SES in both normal and abnormal situations.


  • to master and apply mathematical components of SES in analyzing general optimization;
  • to classify and apply the optimal method for controlling the power flow in SES;
  • to design the optimal and functional operation modes of SES including dispatching of energy resources;
  • to compute, catalogue and quantify the VAR power flows as well as parameters influencing VAR identification in SES;
  • to analyze, formulate and design the optimal structure of the grids in the process of reconfiguration;
  • to be able to demonstrate high personal drive, result oriented and service minded work style, as well as the abilities of time and workload management, to act responsibly and account the interests of the larger community in mind; to work in a fast-paced and highly dynamic environment;
  • to be able to express ideas clearly and effectively in written and oral forms to the team members from different professional domains and of different cultures;
  • to be able to identify own learning needs for professional or personal development; demonstrate an eagerness to take up opportunities for learning new things as well as the ability to learn effectively on their


Chapter 1. Introduction

1.1 Introductions of energy optimizations

1.2 Role of Numeric Optimization

Chapter 2. Selection of optimal power flow

2.1 Introductions
2.1.1 Brief introduction of elements in general SES
2.1.2 Review of node admittance matrix and its conversion (Exercise)
2.1.3 Constraints of Power flow and Voltage regulations in forming mathematical model
2.2 Selection of Optimal power flow
2.2.1 Overview
2.2.2 Optimal power flow problems (OPF)
2.2.3 Equations expression of power flow in SES
2.2.4 Some mathematical methods to solve the optimal power flow: Newton method; Gradient method; Linear programming OPF; Modified Interior point OPF; OPF with phase shifter; Multiple- Objectives OPF (Applied exercise)

Chapter 3. Optimal operation of smart energy system

3.1 Optimal load shedding
3.1.1 Introduction
3.1.2 Formulation of optimal load shedding
3.1.3 Optimal load shedding with and without network constraints
3.1.4 Under voltage load shedding
3.2 Optimization the generation of power sources in SES
3.2.1 Optimization methods utilized in plants’ Economic generation
3.2.2 Economy of multi area interconnection
3.2.3 Calculation the economical generation of thermal power plants (hydro-thermal scheduling) with reviewing of transfer capability in multi-area system (Exercise).
3.2.4 Calculation the economical generation of renewable power sources (lecture and laboratory work)
3.3 Reactive power optimization
3.3.1 Overview
3.3.2 Classical method for Reactive power dispatch
3.3.3 Linear programming method utilized for VAR optimization
3.3.4 Some algorithms used for VAR optimization
3.3.5 The application pf optimal VAR devices placement (Lecture and exercise)

Chapter 4. Optimal Reconfiguration of electrical distribution network

4.1 Introduction of islanding
4.2 Definitions and terms in Distributed Optimization of Interconnections
4.3 The needs of system reconfiguration (long and short planning)
4.4 Mathematical Model of Distribution Network reconfiguration control
4.5 Some methods for optimal reconfiguration of SES
4.5.1 Heuristic methods: Simple branch exchange, optimal power flow pattern
4.5.2 Rule-Based Comprehensive method
4.5.3 Mixed-Integer Linear Programming

ETAP software for SES simulation with the following modules: Dynamic & Transients; Electrical Network analysis; Intelligent Load Shedding; Network analysis for Renewable Systems; Network Optimization; Power monitoring and Simulation; Renewable Energy; System Optimization; Load Management System.

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